feat: Add GPT-4o-mini to model catalog (#497)

packages/langchain_openai/lib/src/chat_models/types.dart

@@ -30,23 +30,23 @@ class ChatOpenAIOptions extends ChatModelOptions {
   ///
   /// Available models:
   /// - `gpt-4`
-  /// - `gpt-4-0314`
-  /// - `gpt-4-0613`
   /// - `gpt-4-32k`
   /// - `gpt-4-32k-0314`
   /// - `gpt-4-32k-0613`
-  /// - `gpt-4-turbo-preview`
-  /// - `gpt-4-1106-preview`
   /// - `gpt-4-0125-preview`
+  /// - `gpt-4-0314`
+  /// - `gpt-4-0613`
+  /// - `gpt-4-1106-preview`
+  /// - `gpt-4-turbo`
+  /// - `gpt-4-turbo-2024-04-09`
+  /// - `gpt-4-turbo-preview`
   /// - `gpt-4-vision-preview`
   /// - `gpt-4o`
   /// - `gpt-4o-2024-05-13`
+  /// - `gpt-4o-mini`
+  /// - `gpt-4o-mini-2024-07-18`
   /// - `gpt-3.5-turbo`
   /// - `gpt-3.5-turbo-16k`
-  /// - `gpt-3.5-turbo-0301`
-  /// - `gpt-3.5-turbo-0613`
-  /// - `gpt-3.5-turbo-1106`
-  /// - `gpt-3.5-turbo-16k-0613`
   ///
   /// Mind that the list may be outdated.
   /// See https://platform.openai.com/docs/models for the latest list.

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

@@ -135,7 +135,7 @@ sealed class ChatCompletionUserMessageContent
     with _$ChatCompletionUserMessageContent {
   const ChatCompletionUserMessageContent._();
 
-  /// An array of content parts with a defined type, each can be of type `text` or `image_url` when passing in images. You can pass multiple images by adding multiple `image_url` content parts. Image input is only supported when using the `gpt-4-vision-preview` model.
+  /// An array of content parts with a defined type, each can be of type `text` or `image_url` when passing in images. You can pass multiple images by adding multiple `image_url` content parts. Image input is only supported when using the `gpt-4o` model.
   const factory ChatCompletionUserMessageContent.parts(
     List<ChatCompletionMessageContentPart> value,
   ) = ChatCompletionMessageContentParts;

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

@@ -163,6 +163,10 @@ enum AssistantModels {
   gpt4o,
   @JsonValue('gpt-4o-2024-05-13')
   gpt4o20240513,
+  @JsonValue('gpt-4o-mini')
+  gpt4oMini,
+  @JsonValue('gpt-4o-mini-2024-07-18')
+  gpt4oMini20240718,
   @JsonValue('gpt-3.5-turbo')
   gpt35Turbo,
   @JsonValue('gpt-3.5-turbo-16k')

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

@@ -73,6 +73,7 @@ class CreateChatCompletionRequest with _$CreateChatCompletionRequest {
     ///   - If set to 'auto', the system will utilize scale tier credits until they are exhausted.
     ///   - If set to 'default', the request will be processed using the default service tier with a lower
     ///     uptime SLA and no latency guarantee.
+    ///   - When not set, the default behavior is 'auto'.
     ///
     ///   When this parameter is set, the response body will include the `service_tier` utilized.
     @JsonKey(
@@ -302,6 +303,10 @@ enum ChatCompletionModels {
   gpt4o,
   @JsonValue('gpt-4o-2024-05-13')
   gpt4o20240513,
+  @JsonValue('gpt-4o-mini')
+  gpt4oMini,
+  @JsonValue('gpt-4o-mini-2024-07-18')
+  gpt4oMini20240718,
   @JsonValue('gpt-3.5-turbo')
   gpt35Turbo,
   @JsonValue('gpt-3.5-turbo-16k')
@@ -423,6 +428,7 @@ class ChatCompletionResponseFormat with _$ChatCompletionResponseFormat {
 ///   - If set to 'auto', the system will utilize scale tier credits until they are exhausted.
 ///   - If set to 'default', the request will be processed using the default service tier with a lower
 ///     uptime SLA and no latency guarantee.
+///   - When not set, the default behavior is 'auto'.
 ///
 ///   When this parameter is set, the response body will include the `service_tier` utilized.
 enum CreateChatCompletionRequestServiceTier {

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

@@ -203,6 +203,10 @@ enum RunModels {
   gpt4o,
   @JsonValue('gpt-4o-2024-05-13')
   gpt4o20240513,
+  @JsonValue('gpt-4o-mini')
+  gpt4oMini,
+  @JsonValue('gpt-4o-mini-2024-07-18')
+  gpt4oMini20240718,
   @JsonValue('gpt-3.5-turbo')
   gpt35Turbo,
   @JsonValue('gpt-3.5-turbo-16k')

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

@@ -202,6 +202,10 @@ enum ThreadAndRunModels {
   gpt4o,
   @JsonValue('gpt-4o-2024-05-13')
   gpt4o20240513,
+  @JsonValue('gpt-4o-mini')
+  gpt4oMini,
+  @JsonValue('gpt-4o-mini-2024-07-18')
+  gpt4oMini20240718,
   @JsonValue('gpt-3.5-turbo')
   gpt35Turbo,
   @JsonValue('gpt-3.5-turbo-16k')

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

@@ -15,8 +15,10 @@ class FineTuningJobHyperparameters with _$FineTuningJobHyperparameters {
 
   /// Factory constructor for FineTuningJobHyperparameters
   const factory FineTuningJobHyperparameters({
-    /// The number of epochs to train the model for. An epoch refers to one
-    /// full cycle through the training dataset.
+    /// The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
+    ///
+    /// "auto" decides the optimal number of epochs based on the size of the dataset. If setting the number
+    /// manually, we support any number between 1 and 50 epochs.
     @_FineTuningNEpochsConverter()
     @JsonKey(name: 'n_epochs')
     required FineTuningNEpochs nEpochs,
@@ -56,8 +58,10 @@ enum FineTuningNEpochsOptions {
 // CLASS: FineTuningNEpochs
 // ==========================================
 
-/// The number of epochs to train the model for. An epoch refers to one
-/// full cycle through the training dataset.
+/// The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
+///
+/// "auto" decides the optimal number of epochs based on the size of the dataset. If setting the number
+/// manually, we support any number between 1 and 50 epochs.
 @freezed
 sealed class FineTuningNEpochs with _$FineTuningNEpochs {
   const FineTuningNEpochs._();

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

@@ -3463,6 +3463,7 @@ mixin _$CreateChatCompletionRequest {
   ///   - If set to 'auto', the system will utilize scale tier credits until they are exhausted.
   ///   - If set to 'default', the request will be processed using the default service tier with a lower
   ///     uptime SLA and no latency guarantee.
+  ///   - When not set, the default behavior is 'auto'.
   ///
   ///   When this parameter is set, the response body will include the `service_tier` utilized.
   @JsonKey(
@@ -4151,6 +4152,7 @@ class _$CreateChatCompletionRequestImpl extends _CreateChatCompletionRequest {
   ///   - If set to 'auto', the system will utilize scale tier credits until they are exhausted.
   ///   - If set to 'default', the request will be processed using the default service tier with a lower
   ///     uptime SLA and no latency guarantee.
+  ///   - When not set, the default behavior is 'auto'.
   ///
   ///   When this parameter is set, the response body will include the `service_tier` utilized.
   @override
@@ -4477,6 +4479,7 @@ abstract class _CreateChatCompletionRequest
   ///   - If set to 'auto', the system will utilize scale tier credits until they are exhausted.
   ///   - If set to 'default', the request will be processed using the default service tier with a lower
   ///     uptime SLA and no latency guarantee.
+  ///   - When not set, the default behavior is 'auto'.
   ///
   ///   When this parameter is set, the response body will include the `service_tier` utilized.
   @JsonKey(
@@ -15766,8 +15769,10 @@ FineTuningJobHyperparameters _$FineTuningJobHyperparametersFromJson(
 
 /// @nodoc
 mixin _$FineTuningJobHyperparameters {
-  /// The number of epochs to train the model for. An epoch refers to one
-  /// full cycle through the training dataset.
+  /// The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
+  ///
+  /// "auto" decides the optimal number of epochs based on the size of the dataset. If setting the number
+  /// manually, we support any number between 1 and 50 epochs.
   @_FineTuningNEpochsConverter()
   @JsonKey(name: 'n_epochs')
   FineTuningNEpochs get nEpochs => throw _privateConstructorUsedError;
@@ -15882,8 +15887,10 @@ class _$FineTuningJobHyperparametersImpl extends _FineTuningJobHyperparameters {
           Map<String, dynamic> json) =>
       _$$FineTuningJobHyperparametersImplFromJson(json);
 
-  /// The number of epochs to train the model for. An epoch refers to one
-  /// full cycle through the training dataset.
+  /// The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
+  ///
+  /// "auto" decides the optimal number of epochs based on the size of the dataset. If setting the number
+  /// manually, we support any number between 1 and 50 epochs.
   @override
   @_FineTuningNEpochsConverter()
   @JsonKey(name: 'n_epochs')
@@ -15936,8 +15943,10 @@ abstract class _FineTuningJobHyperparameters
 
   @override
 
-  /// The number of epochs to train the model for. An epoch refers to one
-  /// full cycle through the training dataset.
+  /// The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
+  ///
+  /// "auto" decides the optimal number of epochs based on the size of the dataset. If setting the number
+  /// manually, we support any number between 1 and 50 epochs.
   @_FineTuningNEpochsConverter()
   @JsonKey(name: 'n_epochs')
   FineTuningNEpochs get nEpochs;

packages/openai_dart/oas/openapi_curated.yaml

@@ -1820,6 +1820,8 @@ components:
                   "gpt-4-vision-preview",
                   "gpt-4o",
                   "gpt-4o-2024-05-13",
+                  "gpt-4o-mini",
+                  "gpt-4o-mini-2024-07-18",
                   "gpt-3.5-turbo",
                   "gpt-3.5-turbo-16k",
                   "gpt-3.5-turbo-16k-0613",
@@ -1915,6 +1917,7 @@ components:
               - If set to 'auto', the system will utilize scale tier credits until they are exhausted.
               - If set to 'default', the request will be processed using the default service tier with a lower 
                 uptime SLA and no latency guarantee.
+              - When not set, the default behavior is 'auto'.
             
               When this parameter is set, the response body will include the `service_tier` utilized.
           type: string
@@ -2071,7 +2074,7 @@ components:
             - type: string
               description: The text contents of the message.
             - type: array
-              description: An array of content parts with a defined type, each can be of type `text` or `image_url` when passing in images. You can pass multiple images by adding multiple `image_url` content parts. Image input is only supported when using the `gpt-4-vision-preview` model.
+              description: An array of content parts with a defined type, each can be of type `text` or `image_url` when passing in images. You can pass multiple images by adding multiple `image_url` content parts. Image input is only supported when using the `gpt-4o` model.
               items:
                 $ref: "#/components/schemas/ChatCompletionMessageContentPart"
               minItems: 1
@@ -2918,8 +2921,10 @@ components:
         n_epochs:
           title: FineTuningNEpochs
           description: |
-            The number of epochs to train the model for. An epoch refers to one
-            full cycle through the training dataset.
+            The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
+            
+            "auto" decides the optimal number of epochs based on the size of the dataset. If setting the number 
+            manually, we support any number between 1 and 50 epochs.
           oneOf:
             - type: string
               title: FineTuningNEpochsOptions
@@ -3523,6 +3528,8 @@ components:
                   "gpt-4-vision-preview",
                   "gpt-4o",
                   "gpt-4o-2024-05-13",
+                  "gpt-4o-mini",
+                  "gpt-4o-mini-2024-07-18",
                   "gpt-3.5-turbo",
                   "gpt-3.5-turbo-16k",
                   "gpt-3.5-turbo-16k-0613",
@@ -4085,6 +4092,8 @@ components:
                   "gpt-4-vision-preview",
                   "gpt-4o",
                   "gpt-4o-2024-05-13",
+                  "gpt-4o-mini",
+                  "gpt-4o-mini-2024-07-18",
                   "gpt-3.5-turbo",
                   "gpt-3.5-turbo-16k",
                   "gpt-3.5-turbo-16k-0613",
@@ -4327,6 +4336,8 @@ components:
                   "gpt-4-vision-preview",
                   "gpt-4o",
                   "gpt-4o-2024-05-13",
+                  "gpt-4o-mini",
+                  "gpt-4o-mini-2024-07-18",
                   "gpt-3.5-turbo",
                   "gpt-3.5-turbo-16k",
                   "gpt-3.5-turbo-16k-0613",
@@ -5872,7 +5883,7 @@ components:
         propertyName: type
     AutoChunkingStrategyRequestParam:
       type: object
-      description: | 
+      description: |
         Auto Chunking Strategy, the default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` 
         and `chunk_overlap_tokens` of `400`.
       additionalProperties: false
@@ -5906,7 +5917,7 @@ components:
           type: integer
           minimum: 100
           maximum: 4096
-          description: | 
+          description: |
             The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the 
             maximum value is `4096`.
         chunk_overlap_tokens:
@@ -5922,13 +5933,13 @@ components:
       type: object
       description: The chunking strategy used to chunk the file(s).
       oneOf:
-          - $ref: "#/components/schemas/StaticChunkingStrategyResponseParam"
-          - $ref: "#/components/schemas/OtherChunkingStrategyResponseParam"
+        - $ref: "#/components/schemas/StaticChunkingStrategyResponseParam"
+        - $ref: "#/components/schemas/OtherChunkingStrategyResponseParam"
       discriminator:
-          propertyName: type
+        propertyName: type
     OtherChunkingStrategyResponseParam:
       type: object
-      description: | 
+      description: |
         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.
       additionalProperties: false