v1.63.0

1.63.0 (2024-08-20)

Features

• A new field satisfies_pzs is added to message .google.cloud.aiplatform.v1.BatchPredictionJob (#4192) (6919037)
• Add advanced PDF parsing option for RAG file import (6e1dc06)
• Add multithreading for custom metric computation. (2c93fc1)
• Add progress bar for generating inference. (b78714f)
• Add progress bar to custom metrics. (3974aec)
• Add Prompt class support for configs and Prompt.generate_content wrapper (7f1e031)
• GenAI - Added seed parameter to the GenerationConfig class (9f1e073)
• GenAI - Added the Candidate.avg_logprobs property (de80695)
• GenAI - Released the Prompt feature to Public Preview (64eeab8)
• GenAI Evaluation: Add generic model-based PointwiseMetric and PairwiseMetric classes that allow customizing metric prompt templates. Add PointwiseMetricPromptTemplate, PairwiseMetricPromptTemplate classes to help formulate and customize metric prompt templates. Add metric_column_mapping parameter to EvalTask for metric prompt template input variable name mapping. (fd38b49)
• GenAI Evaluation: Open source model-based metric prompt template examples for Gemini 1.5 Pro autorater. Add MetricPromptTemplateExamples class to help retrieve model-based metric prompt templates. (fd38b49)
• GenAI Evaluation: Release GenAI Evaluation SDK GA features to vertexai.preview module. (fd38b49)
• Publish GenAI Evaluation SDK GA features to vertexai.evaluation module. Switch GenAI Evaluation Service client to v1 version. (45e4251)

Bug Fixes

• Add support of display_name to create_cached_content in python SDK (ecc2d54)
• Always upload the pickled object and dependencies tarball when creating ReasoningEngine (34ef5a3)
• Remove grouding attribution (f6ece65)

Documentation

• Update Prompt docstring for batch prompting (e96b6e6)

v1.62.0

1.62.0 (2024-08-13)

Features

• Add metadata to evaluation result. (375095e)
• Add Prompt class for multimodal prompt templating (1bdc235)
• Add support for query method in Vertex AI Extension SDK (0008735)
• Add support for reservation affinity in custom training jobs. (802609b)
• Add support for strategy in custom training jobs. (a076191)
• Adding spot, reservation_affinity to Vertex SDK (3e785bd)
• Support api keys in initializer and create_client (7404f67)
• Support creating optimized online store with private service connect (659ba3f)
• Support disable Cloud logging in Ray on Vertex (accaa97)
• Support PSC-Interface in Ray on Vertex (accaa97)

Bug Fixes

• Added credentials, project, and location on PipelineJobSchedule init (281c171)
• Avoid breakage of langchain from orjson 3.10.7 (c990f73)
• Deprecate disable_attribution in GoogleSearchRetrieval. (c68d559)

Documentation

• Update the docstring for compute_tokens method. (849e8d4)

v1.61.0

1.61.0 (2024-08-05)

Features

• Add a warning message for scheduled deprecation of Coherence metric class (7f238fb)
• Add deprecation messages for all model-based metric classes (71c0fd3)
• Add support for task type (CODE_RETRIEVAL_QUERY) through get_embeddings. (f2ce1e4)
• Add system_instruction to LangchainAgent template. (c71c3dd)
• Adding Slack and Jira data connector for RAG to SDK (d92e7c9)
• Allow protobuf 5.x (ce9cd5d)
• LVM - Release ImageGenerationModel to GA (718c199)
• Support "update" for reasoning engine. (b73ef3e)
• Update Rapid Evaluation Service QPS. Add a customizable evaluation service QPS parameter. (9ee9289)

Documentation

• Change init sample to use vertexai (829e0f6)
• Make small fixes to file import documentation (f7d65c3)

v1.60.0

1.60.0 (2024-07-24)

Features

• Add preflight validations to PipelineJob submit and run methods. (c5a3535)
• Add support for langchain v0.2+ package versions in default installation (259b638)
• GenAI - Added tokenization support via GenerativeModel.compute_tokens (cfe0cc6)
• GenAI - ContextCaching - allow from_cached_content to take the cached_content resource name (8f53902)
• Make count_tokens generally-available at TextEmbeddingModel. (efb8413)

Bug Fixes

• Avoid throw error when Part.text is empty in modality content checks (bbd4a49)
• Correct logit_bias type annotation to accept keys as strings (2676d25)
• Create FV embedding dimensions sample - dimensions should be an int (2aa221e)
• Fix the sync option for Model Monitor job creation (22151e2)
• Include DeploymentResourcePool class in aiplatform top-level sdk module (ecc4f09)
• Overriding the current TracerProvider when enabling tracing (1476c10)
• Pass the project ID from vertexai.init to CloudTraceSpanExporter when enable_tracing=True for LangchainAgent (3ec043e)

Documentation

• GenAI - Update README.md for Vertex Generative AI SDK for Python to add subsections to the right nav. (42af742)

v1.59.0

1.59.0 (2024-07-09)

Features

• Add model and contents fields to ComputeTokensRequest v1 (f6e7b9c)
• Add model and contents fields to ComputeTokensRequest v1beta1 (f6e7b9c)
• Add role field to TokensInfo v1 (f6e7b9c)
• Add role field to TokensInfo v1beta1 (f6e7b9c)
• GenAI - Tuning - Released the Supervised Fine Tuning feature o GA (ae47639)

Bug Fixes

• deps: Require proto-plus 1.22.3 (4131e65)
• Offline store - set application name + remove session param (7395665)

v1.58.0

1.58.0 (2024-07-03)

Features

• Add deploy_metadata to PublisherModel.Deploy v1 (71e41c8)
• Add deploy_metadata to PublisherModel.Deploy v1beta1 (b5c3cdd)
• Add display tuning job button for Ipython environments when getting an existing job (872b455)
• Add private_service_connect_config and service_attachment fields to DedicatedServingEndpoint v1 (71e41c8)
• Add satisfies_pzs and satisfies_pzi fields to Model v1 (71e41c8)
• Add satisfies_pzs and satisfies_pzi fields to Model v1beta1 (b5c3cdd)
• Add satisfies_pzs and satisfies_pzi fields to Tensorboard v1 (71e41c8)
• Add satisfies_pzs and satisfies_pzi fields to Tensorboard v1beta1 (b5c3cdd)
• Add UpdateDeploymentResourcePool method to DeploymentResourcePoolService v1 (71e41c8)
• Add UpdateDeploymentResourcePool method to DeploymentResourcePoolService v1beta1 (b5c3cdd)
• Add use_effective_order field to BleuSpec v1beta1 (b5c3cdd)
• GenAI - Evaluation - Add a progress bar for evaluation service requests (bbffb0d)
• GenAI - Evaluation - Implement rate limiter and refactor parallelization for online evaluation service requests (bbffb0d)
• GenAI - Evaluation - Return partial evaluation results with error logging (bbffb0d)
• Migrate DeploymentResourcePool and associated functionality to V1 namespace for GA launch of model co-hosting. (1474d98)

Bug Fixes

• IndexConfig - use TreeAhConfig as default algorithm_config. (341d287)
• LVM - Update Video.load_from_file() to support storage.googleapis.com links (b63f960)

Documentation

• Update comments of AutoscalingSpec v1 (71e41c8)
• Update comments of AutoscalingSpec v1beta1 (b5c3cdd)
• Update import paths for Gemini README (46b3042)

v1.57.0

1.57.0 (2024-06-26)

Features

• Add _ModelBasedMetric base class to vertexai.preview.evaluation.metrics and allow metric spec customization (536f1d5)
• Add _AutomaticMetric type and support customizing metric spec for automatic pointwise metrics. Add Rouge metric to vertexai.preview.evaluation.metrics (f6b6dee)
• Add 12 model-based pointwise metric classes to vertexai.preview.evaluation.metrics (4742a87)
• Add display tuning job button for Ipython environments when starting a new job (b1e9a6c)
• Add encryption_spec to TuningJob (5a6ce78)
• Add enum value MALFORMED_FUNCTION_CALL to .google.cloud.aiplatform.v1beta1.content.Candidate.FinishReason (5a6ce78)
• Add fields grounding_chunks and grounding_supports to GroundingMetadata (5a6ce78)
• Add MALFORMED_FUNCTION_CALL to FinishReason (5a6ce78)
• Add preflight_validations to PipelineJob (5a6ce78)
• Add streamRawPredict rpc to prediction service (5a6ce78)
• Add support for hybrid queries for private endpoint in Matching Engine Index Endpoint. (ce65eab)
• Add text field in Segment (5a6ce78)
• Change the icon for the model evaluation link to a lightbulb for ipython environments (7dad7f0)
• Endpoint.direct_predict (9351e1a)
• Endpoint.direct_predict_async (9351e1a)
• Endpoint.direct_raw_predict (9351e1a)
• Endpoint.direct_raw_predict_async (9351e1a)
• Endpoint.stream_direct_predict (9351e1a)
• Endpoint.stream_direct_raw_predict (9351e1a)
• Endpoint.stream_raw_predict (9351e1a)
• Expose new text embedding tuning parameters in GA namespace. (249a5fa)
• GenAI - Batch Prediction - Added support for tuned GenAI models (a90ee8d)
• Mark default profile run as complete when calling end_upload_tb_log (6397f30)
• Sample code for Vertex AI Feature Store (2c28b4e)
• Sample code for Vertex AI Feature Store (2fbf5a5)
• Tokenization - Added count_tokens support for local tokenization (a8a4c30)
• Update rich html Ray on Vertex Client Context widget (380c9d9)

Bug Fixes

• FeatureGroup.create() - remove unused entity id column param (c46f3e9)
• Fix bug where retry_timeout does not work with evaluation with experiments (a31ac4d)
• Use default run_name in Tensorboard uploader for direct directory upload. (78a92a1)

Documentation

• A comment for field distibution in message .google.cloud.aiplatform.v1beta1.model_monitoring_stats.ModelMonitoringStatsDataPoint is changed. (5a6ce78)
• A comment for field name in message .google.cloud.aiplatform.v1beta1.cached_content.CachedContent is changed (5a6ce78)
• A comment for field source in message .google.cloud.aiplatform.v1beta1.tool.Retrieval is added. (5a6ce78)
• Update the documentation for the time_series_dataset and video_dataset classes (2cf4cb9)

v1.56.0

1.56.0 (2024-06-18)

Features

• Add retry_timeout to EvalTask in vertexai.preview.evaluation (4d9ee9d)
• Add hybrid query example to vector search sample. (510da5e)
• Add metric classes for 2 pairwise metrics for rapid evaluation SDK. (831c8e4)
• Add pipeline_job_name to allow PipelineJob.get(pipeline_job_name) (32e3b22)
• Add sample code show how to create an optimized private online store in Vertex AI Feature Store. (e352175)
• GenAI - Context Caching - add get() classmethod and refresh() instance method (6be874a)
• GenAI - Context Caching - also print model_name and expire_time. (d548c11)
• GenAI - Tuning - Added support for CMEK (eb651bc)

Bug Fixes

• Do not reset aiplatform.Experiment or aiplatform.ExperimentRun unnecessarily when running tensorboard uploader. (28a091a)

Documentation

• Update the documentation for the time_series_dataset and video_dataset classes (d5dc7b5)

v1.55.0

1.55.0 (2024-06-12)

Features

• view model evaluations when AustoSxS pipeline completes (17c59c4c2)
• Add support for user-configurable 1P embedding models and quota for RAG (8b3beb666)
• Add Webpage Browser Extension to Vertex AI Extension SDK (c222f4bdb)
• Add enable_tracing to LangchainAgent. (cad035cb3)
• Implement multithreaded batch inference in Rapid Evaluation SDK for performance improvement (3c6d1732b)

Bug Fixes

• support VPC and BYOSA case in Ray on Vertex JobSubmissionClient using cluster resource name (662d039c9)
• Include tensorboard profiler requirements when installing google-cloud-aiplatform[tensorboard] (4f1b5593b)
• fix numerical NaN experiment run logging error in EvalTask. (641faec0b)
• Generate uuid run_name when run_name_prefix is not specified. (4e2d87f9a)

Documentation

• Update the documentation for the image_dataset class (583cb9313)
• Include imports in experiment_tracking samples directly in cloud.google.com snippets. (3ffb6cba7)

v1.54.1

1.54.1 (2024-06-07)

Bug Fixes

• _append_tool_name list index out of range (#3914) (323c2f5)