feat: Support chunking strategy in file_search tool in openai_dart (d…

…avidmigloz#496)

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

@@ -0,0 +1,54 @@
+// 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: ChunkingStrategyRequestParam
+// ==========================================
+
+/// The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy.
+@Freezed(unionKey: 'type', unionValueCase: FreezedUnionCase.snake)
+sealed class ChunkingStrategyRequestParam with _$ChunkingStrategyRequestParam {
+  const ChunkingStrategyRequestParam._();
+
+  // ------------------------------------------
+  // UNION: AutoChunkingStrategyRequestParam
+  // ------------------------------------------
+
+  /// Auto Chunking Strategy, the default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800`
+  /// and `chunk_overlap_tokens` of `400`.
+  const factory ChunkingStrategyRequestParam.auto({
+    /// Always `auto`.
+    required String type,
+  }) = AutoChunkingStrategyRequestParam;
+
+  // ------------------------------------------
+  // UNION: StaticChunkingStrategyRequestParam
+  // ------------------------------------------
+
+  /// Static chunking strategy
+  const factory ChunkingStrategyRequestParam.static({
+    /// Always `static`.
+    required String type,
+
+    /// Static chunking strategy
+    required StaticChunkingStrategy static,
+  }) = StaticChunkingStrategyRequestParam;
+
+  /// Object construction from a JSON representation
+  factory ChunkingStrategyRequestParam.fromJson(Map<String, dynamic> json) =>
+      _$ChunkingStrategyRequestParamFromJson(json);
+}
+
+// ==========================================
+// ENUM: ChunkingStrategyRequestParamEnumType
+// ==========================================
+
+enum ChunkingStrategyRequestParamEnumType {
+  @JsonValue('auto')
+  auto,
+  @JsonValue('static')
+  static,
+}

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

@@ -0,0 +1,55 @@
+// 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: ChunkingStrategyResponseParam
+// ==========================================
+
+/// The chunking strategy used to chunk the file(s).
+@Freezed(unionKey: 'type', unionValueCase: FreezedUnionCase.snake)
+sealed class ChunkingStrategyResponseParam
+    with _$ChunkingStrategyResponseParam {
+  const ChunkingStrategyResponseParam._();
+
+  // ------------------------------------------
+  // UNION: StaticChunkingStrategyResponseParam
+  // ------------------------------------------
+
+  /// Static Chunking Strategy.
+  const factory ChunkingStrategyResponseParam.static({
+    /// Always `static`.
+    required String type,
+
+    /// Static chunking strategy
+    required StaticChunkingStrategy static,
+  }) = StaticChunkingStrategyResponseParam;
+
+  // ------------------------------------------
+  // UNION: OtherChunkingStrategyResponseParam
+  // ------------------------------------------
+
+  /// Other Chunking Strategy. This is returned when the chunking strategy is unknown. Typically, this is because
+  /// the file was indexed before the `chunking_strategy` concept was introduced in the API.
+  const factory ChunkingStrategyResponseParam.other({
+    /// Always `other`.
+    required String type,
+  }) = OtherChunkingStrategyResponseParam;
+
+  /// Object construction from a JSON representation
+  factory ChunkingStrategyResponseParam.fromJson(Map<String, dynamic> json) =>
+      _$ChunkingStrategyResponseParamFromJson(json);
+}
+
+// ==========================================
+// ENUM: ChunkingStrategyResponseParamEnumType
+// ==========================================
+
+enum ChunkingStrategyResponseParamEnumType {
+  @JsonValue('static')
+  static,
+  @JsonValue('other')
+  other,
+}

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

@@ -18,6 +18,11 @@ class CreateVectorStoreFileBatchRequest
   const factory CreateVectorStoreFileBatchRequest({
     /// A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that the vector store should use. Useful for tools like `file_search` that can access files.
     @JsonKey(name: 'file_ids') required List<String> fileIds,
+
+    /// The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy.
+    /// Any of: [AutoChunkingStrategyRequestParam], [StaticChunkingStrategyRequestParam]
+    @JsonKey(name: 'chunking_strategy', includeIfNull: false)
+    ChunkingStrategyRequestParam? chunkingStrategy,
   }) = _CreateVectorStoreFileBatchRequest;
 
   /// Object construction from a JSON representation
@@ -26,7 +31,7 @@ class CreateVectorStoreFileBatchRequest
       _$CreateVectorStoreFileBatchRequestFromJson(json);
 
   /// List of all property names of schema
-  static const List<String> propertyNames = ['file_ids'];
+  static const List<String> propertyNames = ['file_ids', 'chunking_strategy'];
 
   /// Perform validations on the schema property values
   String? validateSchema() {
@@ -37,6 +42,7 @@ class CreateVectorStoreFileBatchRequest
   Map<String, dynamic> toMap() {
     return {
       'file_ids': fileIds,
+      'chunking_strategy': chunkingStrategy,
     };
   }
 }

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

@@ -17,14 +17,19 @@ class CreateVectorStoreFileRequest with _$CreateVectorStoreFileRequest {
   const factory CreateVectorStoreFileRequest({
     /// A [File](https://platform.openai.com/docs/api-reference/files) ID that the vector store should use. Useful for tools like `file_search` that can access files.
     @JsonKey(name: 'file_id') required String fileId,
+
+    /// The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy.
+    /// Any of: [AutoChunkingStrategyRequestParam], [StaticChunkingStrategyRequestParam]
+    @JsonKey(name: 'chunking_strategy', includeIfNull: false)
+    ChunkingStrategyRequestParam? chunkingStrategy,
   }) = _CreateVectorStoreFileRequest;
 
   /// Object construction from a JSON representation
   factory CreateVectorStoreFileRequest.fromJson(Map<String, dynamic> json) =>
       _$CreateVectorStoreFileRequestFromJson(json);
 
   /// List of all property names of schema
-  static const List<String> propertyNames = ['file_id'];
+  static const List<String> propertyNames = ['file_id', 'chunking_strategy'];
 
   /// Perform validations on the schema property values
   String? validateSchema() {
@@ -35,6 +40,7 @@ class CreateVectorStoreFileRequest with _$CreateVectorStoreFileRequest {
   Map<String, dynamic> toMap() {
     return {
       'file_id': fileId,
+      'chunking_strategy': chunkingStrategy,
     };
   }
 }

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

@@ -25,6 +25,11 @@ class CreateVectorStoreRequest with _$CreateVectorStoreRequest {
     @JsonKey(name: 'expires_after', includeIfNull: false)
     VectorStoreExpirationAfter? expiresAfter,
 
+    /// The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy.
+    /// Any of: [AutoChunkingStrategyRequestParam], [StaticChunkingStrategyRequestParam]
+    @JsonKey(name: 'chunking_strategy', includeIfNull: false)
+    ChunkingStrategyRequestParam? chunkingStrategy,
+
     /// Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.
     @JsonKey(includeIfNull: false) dynamic metadata,
   }) = _CreateVectorStoreRequest;
@@ -38,6 +43,7 @@ class CreateVectorStoreRequest with _$CreateVectorStoreRequest {
     'name',
     'file_ids',
     'expires_after',
+    'chunking_strategy',
     'metadata'
   ];
 
@@ -52,6 +58,7 @@ class CreateVectorStoreRequest with _$CreateVectorStoreRequest {
       'name': name,
       'file_ids': fileIds,
       'expires_after': expiresAfter,
+      'chunking_strategy': chunkingStrategy,
       'metadata': metadata,
     };
   }

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

@@ -127,6 +127,7 @@ part 'update_vector_store_request.dart';
 part 'list_vector_stores_response.dart';
 part 'delete_vector_store_response.dart';
 part 'vector_store_file_object.dart';
+part 'static_chunking_strategy.dart';
 part 'create_vector_store_file_request.dart';
 part 'list_vector_store_files_response.dart';
 part 'delete_vector_store_file_response.dart';
@@ -152,4 +153,6 @@ part 'run_step_details_tool_calls.dart';
 part 'run_step_delta_step_details_tool_calls.dart';
 part 'run_step_details_tool_calls_code_output.dart';
 part 'run_step_delta_step_details_tool_calls_code_output.dart';
+part 'chunking_strategy_request_param.dart';
+part 'chunking_strategy_response_param.dart';
 part 'assistant_stream_event.dart';