feat: Add Weights & Biases fine-tuning integration and seed in openai…

…_dart (#377)

packages/openai_dart/lib/src/generated/schema/create_fine_tuning_job_request.dart

@@ -49,6 +49,13 @@ class CreateFineTuningJobRequest with _$CreateFineTuningJobRequest {
     /// See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for more details.
     @JsonKey(name: 'validation_file', includeIfNull: false)
     String? validationFile,
+
+    /// A list of integrations to enable for your fine-tuning job.
+    @JsonKey(includeIfNull: false) List<FineTuningIntegration>? integrations,
+
+    /// The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases.
+    /// If a seed is not specified, one will be generated for you.
+    @JsonKey(includeIfNull: false) int? seed,
   }) = _CreateFineTuningJobRequest;
 
   /// Object construction from a JSON representation
@@ -61,12 +68,16 @@ class CreateFineTuningJobRequest with _$CreateFineTuningJobRequest {
     'training_file',
     'hyperparameters',
     'suffix',
-    'validation_file'
+    'validation_file',
+    'integrations',
+    'seed'
   ];
 
   /// Validation constants
   static const suffixMinLengthValue = 1;
   static const suffixMaxLengthValue = 40;
+  static const seedMinValue = 0;
+  static const seedMaxValue = 2147483647;
 
   /// Perform validations on the schema property values
   String? validateSchema() {
@@ -76,6 +87,12 @@ class CreateFineTuningJobRequest with _$CreateFineTuningJobRequest {
     if (suffix != null && suffix!.length > suffixMaxLengthValue) {
       return "The length of 'suffix' cannot be > $suffixMaxLengthValue characters";
     }
+    if (seed != null && seed! < seedMinValue) {
+      return "The value of 'seed' cannot be < $seedMinValue";
+    }
+    if (seed != null && seed! > seedMaxValue) {
+      return "The value of 'seed' cannot be > $seedMaxValue";
+    }
     return null;
   }
 
@@ -87,6 +104,8 @@ class CreateFineTuningJobRequest with _$CreateFineTuningJobRequest {
       'hyperparameters': hyperparameters,
       'suffix': suffix,
       'validation_file': validationFile,
+      'integrations': integrations,
+      'seed': seed,
     };
   }
 }

packages/openai_dart/lib/src/generated/schema/fine_tuning_integration.dart

@@ -0,0 +1,112 @@
+// coverage:ignore-file
+// GENERATED CODE - DO NOT MODIFY BY HAND
+// ignore_for_file: type=lint
+// ignore_for_file: invalid_annotation_target
+part of open_a_i_schema;
+
+// ==========================================
+// CLASS: FineTuningIntegration
+// ==========================================
+
+/// A fine-tuning integration to enable for a fine-tuning job.
+@freezed
+class FineTuningIntegration with _$FineTuningIntegration {
+  const FineTuningIntegration._();
+
+  /// Factory constructor for FineTuningIntegration
+  const factory FineTuningIntegration({
+    /// The type of integration to enable. Currently, only "wandb" (Weights and Biases) is supported.
+    required FineTuningIntegrationType type,
+
+    /// The settings for your integration with Weights and Biases. This payload specifies the project that
+    /// metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags
+    /// to your run, and set a default entity (team, username, etc) to be associated with your run.
+    required FineTuningIntegrationWandb wandb,
+  }) = _FineTuningIntegration;
+
+  /// Object construction from a JSON representation
+  factory FineTuningIntegration.fromJson(Map<String, dynamic> json) =>
+      _$FineTuningIntegrationFromJson(json);
+
+  /// List of all property names of schema
+  static const List<String> propertyNames = ['type', 'wandb'];
+
+  /// Perform validations on the schema property values
+  String? validateSchema() {
+    return null;
+  }
+
+  /// Map representation of object (not serialized)
+  Map<String, dynamic> toMap() {
+    return {
+      'type': type,
+      'wandb': wandb,
+    };
+  }
+}
+
+// ==========================================
+// ENUM: FineTuningIntegrationType
+// ==========================================
+
+/// The type of integration to enable. Currently, only "wandb" (Weights and Biases) is supported.
+enum FineTuningIntegrationType {
+  @JsonValue('wandb')
+  wandb,
+}
+
+// ==========================================
+// CLASS: FineTuningIntegrationWandb
+// ==========================================
+
+/// The settings for your integration with Weights and Biases. This payload specifies the project that
+/// metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags
+/// to your run, and set a default entity (team, username, etc) to be associated with your run.
+@freezed
+class FineTuningIntegrationWandb with _$FineTuningIntegrationWandb {
+  const FineTuningIntegrationWandb._();
+
+  /// Factory constructor for FineTuningIntegrationWandb
+  const factory FineTuningIntegrationWandb({
+    /// The name of the project that the new run will be created under.
+    required String project,
+
+    /// A display name to set for the run. If not set, we will use the Job ID as the name.
+    @JsonKey(includeIfNull: false) String? name,
+
+    /// The entity to use for the run. This allows you to set the team or username of the WandB user that you would
+    /// like associated with the run. If not set, the default entity for the registered WandB API key is used.
+    @JsonKey(includeIfNull: false) String? entity,
+
+    /// A list of tags to be attached to the newly created run. These tags are passed through directly to WandB. Some
+    /// default tags are generated by OpenAI: "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
+    @JsonKey(includeIfNull: false) List<String>? tags,
+  }) = _FineTuningIntegrationWandb;
+
+  /// Object construction from a JSON representation
+  factory FineTuningIntegrationWandb.fromJson(Map<String, dynamic> json) =>
+      _$FineTuningIntegrationWandbFromJson(json);
+
+  /// List of all property names of schema
+  static const List<String> propertyNames = [
+    'project',
+    'name',
+    'entity',
+    'tags'
+  ];
+
+  /// Perform validations on the schema property values
+  String? validateSchema() {
+    return null;
+  }
+
+  /// Map representation of object (not serialized)
+  Map<String, dynamic> toMap() {
+    return {
+      'project': project,
+      'name': name,
+      'entity': entity,
+      'tags': tags,
+    };
+  }
+}

packages/openai_dart/lib/src/generated/schema/fine_tuning_job.dart

@@ -56,6 +56,9 @@ class FineTuningJob with _$FineTuningJob {
 
     /// The file ID used for validation. You can retrieve the validation results with the [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
     @JsonKey(name: 'validation_file') required String? validationFile,
+
+    /// A list of integrations to enable for this fine-tuning job.
+    @JsonKey(includeIfNull: false) List<FineTuningIntegration>? integrations,
   }) = _FineTuningJob;
 
   /// Object construction from a JSON representation
@@ -77,7 +80,8 @@ class FineTuningJob with _$FineTuningJob {
     'status',
     'trained_tokens',
     'training_file',
-    'validation_file'
+    'validation_file',
+    'integrations'
   ];
 
   /// Perform validations on the schema property values
@@ -102,6 +106,7 @@ class FineTuningJob with _$FineTuningJob {
       'trained_tokens': trainedTokens,
       'training_file': trainingFile,
       'validation_file': validationFile,
+      'integrations': integrations,
     };
   }
 }

packages/openai_dart/lib/src/generated/schema/schema.dart

@@ -44,6 +44,7 @@ part 'embedding.dart';
 part 'embedding_usage.dart';
 part 'create_fine_tuning_job_request.dart';
 part 'fine_tuning_job.dart';
+part 'fine_tuning_integration.dart';
 part 'fine_tuning_job_status.dart';
 part 'fine_tuning_job_error.dart';
 part 'fine_tuning_job_hyperparameters.dart';