feat: Updated OpenAPI spec

src/libs/Ideogram/Generated/Ideogram.DatasetsClient.TrainDatasetModel.g.cs

@@ -501,55 +501,18 @@ partial void ProcessTrainDatasetModelResponseContent(
         /// Name for the trained model. Must be 5-30 characters, alphanumeric with spaces and hyphens allowed.<br/>
         /// Example: my-custom-model
         /// </param>
-        /// <param name="trainingSteps">
-        /// Number of training steps. Must be between 100 and 20000 and a multiple of 100. Defaults to 1000.<br/>
-        /// Example: 1000
-        /// </param>
-        /// <param name="loraRank">
-        /// LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank 256 requires num_chips &gt;= 64.<br/>
-        /// Example: 64
-        /// </param>
-        /// <param name="numChips">
-        /// Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16, 32, or 64, V_4_0 supports 128.<br/>
-        /// Example: 32
-        /// </param>
-        /// <param name="baseModelVersion">
-        /// Base model version to train on. Defaults to V_3_1.<br/>
-        /// Default Value: V_3_1<br/>
-        /// Example: V_3_1
-        /// </param>
-        /// <param name="ema">
-        /// Exponential moving average decay rate. Must be greater than 0.<br/>
-        /// Example: 0.999F
-        /// </param>
-        /// <param name="learningRate">
-        /// Learning rate for the optimizer. Must be greater than 0.<br/>
-        /// Example: 0.0001F
-        /// </param>
         /// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
         /// <param name="cancellationToken">The token to cancel the operation with</param>
         /// <exception cref="global::System.InvalidOperationException"></exception>
         public async global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainDatasetModelAsync(
             string datasetId,
             string modelName,
-            int? trainingSteps = default,
-            int? loraRank = default,
-            int? numChips = default,
-            global::Ideogram.TrainDatasetModelRequestBaseModelVersion? baseModelVersion = default,
-            double? ema = default,
-            double? learningRate = default,
             global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
             global::System.Threading.CancellationToken cancellationToken = default)
         {
             var __request = new global::Ideogram.TrainDatasetModelRequest
             {
                 ModelName = modelName,
-                TrainingSteps = trainingSteps,
-                LoraRank = loraRank,
-                NumChips = numChips,
-                BaseModelVersion = baseModelVersion,
-                Ema = ema,
-                LearningRate = learningRate,
             };
 
             return await TrainDatasetModelAsync(

src/libs/Ideogram/Generated/Ideogram.IDatasetsClient.TrainDatasetModel.g.cs

@@ -28,43 +28,12 @@ public partial interface IDatasetsClient
         /// Name for the trained model. Must be 5-30 characters, alphanumeric with spaces and hyphens allowed.<br/>
         /// Example: my-custom-model
         /// </param>
-        /// <param name="trainingSteps">
-        /// Number of training steps. Must be between 100 and 20000 and a multiple of 100. Defaults to 1000.<br/>
-        /// Example: 1000
-        /// </param>
-        /// <param name="loraRank">
-        /// LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank 256 requires num_chips &gt;= 64.<br/>
-        /// Example: 64
-        /// </param>
-        /// <param name="numChips">
-        /// Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16, 32, or 64, V_4_0 supports 128.<br/>
-        /// Example: 32
-        /// </param>
-        /// <param name="baseModelVersion">
-        /// Base model version to train on. Defaults to V_3_1.<br/>
-        /// Default Value: V_3_1<br/>
-        /// Example: V_3_1
-        /// </param>
-        /// <param name="ema">
-        /// Exponential moving average decay rate. Must be greater than 0.<br/>
-        /// Example: 0.999F
-        /// </param>
-        /// <param name="learningRate">
-        /// Learning rate for the optimizer. Must be greater than 0.<br/>
-        /// Example: 0.0001F
-        /// </param>
         /// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
         /// <param name="cancellationToken">The token to cancel the operation with</param>
         /// <exception cref="global::System.InvalidOperationException"></exception>
         global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainDatasetModelAsync(
             string datasetId,
             string modelName,
-            int? trainingSteps = default,
-            int? loraRank = default,
-            int? numChips = default,
-            global::Ideogram.TrainDatasetModelRequestBaseModelVersion? baseModelVersion = default,
-            double? ema = default,
-            double? learningRate = default,
             global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
             global::System.Threading.CancellationToken cancellationToken = default);
     }

src/libs/Ideogram/Generated/Ideogram.IModelsClient.TrainModelV3.g.cs

@@ -0,0 +1,41 @@
+#nullable enable
+
+namespace Ideogram
+{
+    public partial interface IModelsClient
+    {
+        /// <summary>
+        /// Train a custom Ideogram v3 model<br/>
+        /// Start training a custom Ideogram v3 model from a dataset using default hyperparameters. The dataset must contain at least 15 images and a maximum of 100 images.
+        /// </summary>
+        /// <param name="request"></param>
+        /// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
+        /// <param name="cancellationToken">The token to cancel the operation with</param>
+        /// <exception cref="global::Ideogram.ApiException"></exception>
+        global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainModelV3Async(
+
+            global::Ideogram.TrainModelV3Request request,
+            global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
+            global::System.Threading.CancellationToken cancellationToken = default);
+        /// <summary>
+        /// Train a custom Ideogram v3 model<br/>
+        /// Start training a custom Ideogram v3 model from a dataset using default hyperparameters. The dataset must contain at least 15 images and a maximum of 100 images.
+        /// </summary>
+        /// <param name="datasetId">
+        /// ID of the dataset to train the model from.<br/>
+        /// Example: abc123
+        /// </param>
+        /// <param name="modelName">
+        /// Name for the trained model. Must be 5-30 characters, alphanumeric with spaces and hyphens allowed.<br/>
+        /// Example: my-custom-model
+        /// </param>
+        /// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
+        /// <param name="cancellationToken">The token to cancel the operation with</param>
+        /// <exception cref="global::System.InvalidOperationException"></exception>
+        global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainModelV3Async(
+            string datasetId,
+            string modelName,
+            global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
+            global::System.Threading.CancellationToken cancellationToken = default);
+    }
+}

src/libs/Ideogram/Generated/Ideogram.IModelsClient.TrainModelV3Advanced.g.cs

@@ -0,0 +1,61 @@
+#nullable enable
+
+namespace Ideogram
+{
+    public partial interface IModelsClient
+    {
+        /// <summary>
+        /// Train a custom Ideogram v3 model with advanced hyperparameters<br/>
+        /// Start training a custom Ideogram v3 model from a dataset with caller-supplied hyperparameters (training steps, LoRA rank, EMA decay, learning rate). All hyperparameters are optional and fall back to defaults when omitted. The dataset must contain at least 15 images and a maximum of 100 images. Returns the model ID and training status.
+        /// </summary>
+        /// <param name="request"></param>
+        /// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
+        /// <param name="cancellationToken">The token to cancel the operation with</param>
+        /// <exception cref="global::Ideogram.ApiException"></exception>
+        global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainModelV3AdvancedAsync(
+
+            global::Ideogram.TrainModelV3AdvancedRequest request,
+            global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
+            global::System.Threading.CancellationToken cancellationToken = default);
+        /// <summary>
+        /// Train a custom Ideogram v3 model with advanced hyperparameters<br/>
+        /// Start training a custom Ideogram v3 model from a dataset with caller-supplied hyperparameters (training steps, LoRA rank, EMA decay, learning rate). All hyperparameters are optional and fall back to defaults when omitted. The dataset must contain at least 15 images and a maximum of 100 images. Returns the model ID and training status.
+        /// </summary>
+        /// <param name="datasetId">
+        /// ID of the dataset to train the model from.<br/>
+        /// Example: abc123
+        /// </param>
+        /// <param name="modelName">
+        /// Name for the trained model. Must be 5-30 characters, alphanumeric with spaces and hyphens allowed.<br/>
+        /// Example: my-custom-model
+        /// </param>
+        /// <param name="trainingSteps">
+        /// Number of training steps. Must be between 100 and 10000 and a multiple of 100. Defaults to 1000.<br/>
+        /// Example: 1000
+        /// </param>
+        /// <param name="loraRank">
+        /// LoRA rank for model training. Must be one of 64 or 128. Defaults to 128. Higher rank increases model capacity at the cost of longer training and larger weights.<br/>
+        /// Example: 64
+        /// </param>
+        /// <param name="ema">
+        /// Exponential moving average decay rate for the model weights. Must be between 0 and 1 (exclusive). Typical values are 0.99-0.9999; higher values produce smoother weight averages but respond more slowly to training updates.<br/>
+        /// Example: 0.999F
+        /// </param>
+        /// <param name="learningRate">
+        /// Learning rate for the optimizer. Must be greater than 0. Typical values for LoRA fine-tuning are 1e-5 to 1e-4; larger values train faster but risk instability.<br/>
+        /// Example: 0.0001F
+        /// </param>
+        /// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
+        /// <param name="cancellationToken">The token to cancel the operation with</param>
+        /// <exception cref="global::System.InvalidOperationException"></exception>
+        global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainModelV3AdvancedAsync(
+            string datasetId,
+            string modelName,
+            int? trainingSteps = default,
+            int? loraRank = default,
+            double? ema = default,
+            double? learningRate = default,
+            global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
+            global::System.Threading.CancellationToken cancellationToken = default);
+    }
+}

src/libs/Ideogram/Generated/Ideogram.JsonSerializerContext.g.cs

@@ -89,10 +89,6 @@ namespace Ideogram
 
             typeof(global::Ideogram.JsonConverters.DatasetAssetFailureReasonNullableJsonConverter),
 
-            typeof(global::Ideogram.JsonConverters.TrainDatasetModelRequestBaseModelVersionJsonConverter),
-
-            typeof(global::Ideogram.JsonConverters.TrainDatasetModelRequestBaseModelVersionNullableJsonConverter),
-
             typeof(global::Ideogram.JsonConverters.ModelStatusJsonConverter),
 
             typeof(global::Ideogram.JsonConverters.ModelStatusNullableJsonConverter),
@@ -345,16 +341,17 @@ namespace Ideogram
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.UploadDatasetAssetsRequest))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainDatasetModelResponse))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainDatasetModelRequest))]
-    [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainDatasetModelRequestBaseModelVersion), TypeInfoPropertyName = "TrainDatasetModelRequestBaseModelVersion2")]
-    [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.ListModelsResponse))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList<global::Ideogram.CustomModel>))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.CustomModel))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.ModelStatus), TypeInfoPropertyName = "ModelStatus2")]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList<global::Ideogram.TrainingRun>))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainingRun))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainingRunStatus), TypeInfoPropertyName = "TrainingRunStatus2")]
+    [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.GetModelResponse))]
+    [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainModelV3Request))]
+    [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainModelV3AdvancedRequest))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.ColorPaletteWithPresetName))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.ColorPaletteWithMembers))]
     [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.ColorPalettePresetName), TypeInfoPropertyName = "ColorPalettePresetName2")]