feat(openai_dart): Remove OpenAI deprecated models (#290)

https://platform.openai.com/docs/deprecations

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

@@ -471,7 +471,7 @@ class OpenAIClient {
   // METHOD: createFineTuningJob
   // ------------------------------------------
 
-  /// Creates a job that fine-tunes a specified model from a given dataset.  Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.  [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning).
+  /// Creates a fine-tuning job which begins the process of creating a new model from a given dataset.  Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.  [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning).
   ///
   /// `request`: Request object for the Create fine-tuning job endpoint.
   ///

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

@@ -92,7 +92,7 @@ class CreateChatCompletionRequest with _$CreateChatCompletionRequest {
     /// Controls which (if any) function is called by the model.
     /// `none` means the model will not call a function and instead generates a message.
     /// `auto` means the model can pick between generating a message or calling a function.
-    /// Specifying a particular function via `{"type: "function", "function": {"name": "my_function"}}` forces the model to call that function.
+    /// Specifying a particular function via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that function.
     ///
     /// `none` is the default when no functions are present. `auto` is the default if functions are present.
     @_ChatCompletionToolChoiceOptionConverter()
@@ -443,7 +443,7 @@ enum ChatCompletionToolChoiceMode {
 /// Controls which (if any) function is called by the model.
 /// `none` means the model will not call a function and instead generates a message.
 /// `auto` means the model can pick between generating a message or calling a function.
-/// Specifying a particular function via `{"type: "function", "function": {"name": "my_function"}}` forces the model to call that function.
+/// Specifying a particular function via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that function.
 ///
 /// `none` is the default when no functions are present. `auto` is the default if functions are present.
 @freezed

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

@@ -42,7 +42,7 @@ class CreateCompletionRequest with _$CreateCompletionRequest {
 
     /// Modify the likelihood of specified tokens appearing in the completion.
     ///
-    /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](https://platform.openai.com/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
+    /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
     ///
     /// As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated.
     @JsonKey(name: 'logit_bias', includeIfNull: false)
@@ -232,26 +232,12 @@ class CreateCompletionRequest with _$CreateCompletionRequest {
 
 /// Available completion models. Mind that the list may not be exhaustive nor up-to-date.
 enum CompletionModels {
-  @JsonValue('babbage-002')
-  babbage002,
-  @JsonValue('davinci-002')
-  davinci002,
   @JsonValue('gpt-3.5-turbo-instruct')
   gpt35TurboInstruct,
-  @JsonValue('text-davinci-003')
-  textDavinci003,
-  @JsonValue('text-davinci-002')
-  textDavinci002,
-  @JsonValue('text-davinci-001')
-  textDavinci001,
-  @JsonValue('code-davinci-002')
-  codeDavinci002,
-  @JsonValue('text-curie-001')
-  textCurie001,
-  @JsonValue('text-babbage-001')
-  textBabbage001,
-  @JsonValue('text-ada-001')
-  textAda001,
+  @JsonValue('davinci-002')
+  davinci002,
+  @JsonValue('babbage-002')
+  babbage002,
 }
 
 // ==========================================

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

@@ -51,7 +51,7 @@ mixin _$CreateCompletionRequest {
 
   /// Modify the likelihood of specified tokens appearing in the completion.
   ///
-  /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](https://platform.openai.com/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
+  /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
   ///
   /// As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated.
   @JsonKey(name: 'logit_bias', includeIfNull: false)
@@ -504,14 +504,14 @@ class _$CreateCompletionRequestImpl extends _CreateCompletionRequest {
 
   /// Modify the likelihood of specified tokens appearing in the completion.
   ///
-  /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](https://platform.openai.com/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
+  /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
   ///
   /// As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated.
   final Map<String, int>? _logitBias;
 
   /// Modify the likelihood of specified tokens appearing in the completion.
   ///
-  /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](https://platform.openai.com/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
+  /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
   ///
   /// As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated.
   @override
@@ -733,7 +733,7 @@ abstract class _CreateCompletionRequest extends CreateCompletionRequest {
 
   /// Modify the likelihood of specified tokens appearing in the completion.
   ///
-  /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](https://platform.openai.com/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
+  /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
   ///
   /// As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated.
   @JsonKey(name: 'logit_bias', includeIfNull: false)
@@ -3429,7 +3429,7 @@ mixin _$CreateChatCompletionRequest {
   /// Controls which (if any) function is called by the model.
   /// `none` means the model will not call a function and instead generates a message.
   /// `auto` means the model can pick between generating a message or calling a function.
-  /// Specifying a particular function via `{"type: "function", "function": {"name": "my_function"}}` forces the model to call that function.
+  /// Specifying a particular function via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that function.
   ///
   /// `none` is the default when no functions are present. `auto` is the default if functions are present.
   @_ChatCompletionToolChoiceOptionConverter()
@@ -4034,7 +4034,7 @@ class _$CreateChatCompletionRequestImpl extends _CreateChatCompletionRequest {
   /// Controls which (if any) function is called by the model.
   /// `none` means the model will not call a function and instead generates a message.
   /// `auto` means the model can pick between generating a message or calling a function.
-  /// Specifying a particular function via `{"type: "function", "function": {"name": "my_function"}}` forces the model to call that function.
+  /// Specifying a particular function via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that function.
   ///
   /// `none` is the default when no functions are present. `auto` is the default if functions are present.
   @override
@@ -4307,7 +4307,7 @@ abstract class _CreateChatCompletionRequest
   /// Controls which (if any) function is called by the model.
   /// `none` means the model will not call a function and instead generates a message.
   /// `auto` means the model can pick between generating a message or calling a function.
-  /// Specifying a particular function via `{"type: "function", "function": {"name": "my_function"}}` forces the model to call that function.
+  /// Specifying a particular function via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that function.
   ///
   /// `none` is the default when no functions are present. `auto` is the default if functions are present.
   @_ChatCompletionToolChoiceOptionConverter()

packages/openai_dart/oas/openapi_curated.yaml

@@ -98,7 +98,7 @@ paths:
       tags:
         - Fine-tuning
       summary: |
-        Creates a job that fine-tunes a specified model from a given dataset.
+        Creates a fine-tuning job which begins the process of creating a new model from a given dataset.
 
         Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.
 
@@ -1168,19 +1168,7 @@ components:
               title: CompletionModels
               description: |
                 Available completion models. Mind that the list may not be exhaustive nor up-to-date.
-              enum:
-                [
-                  "babbage-002",
-                  "davinci-002",
-                  "gpt-3.5-turbo-instruct",
-                  "text-davinci-003",
-                  "text-davinci-002",
-                  "text-davinci-001",
-                  "code-davinci-002",
-                  "text-curie-001",
-                  "text-babbage-001",
-                  "text-ada-001",
-                ]
+              enum: ["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"]
         prompt:
           title: CompletionPrompt
           description: &completions_prompt_description |
@@ -1252,7 +1240,7 @@ components:
           description: &completions_logit_bias_description |
             Modify the likelihood of specified tokens appearing in the completion.
 
-            Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](https://platform.openai.com/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
+            Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
 
             As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated.
         logprobs: &completions_logprobs_configuration
@@ -1624,7 +1612,7 @@ components:
             Controls which (if any) function is called by the model.
             `none` means the model will not call a function and instead generates a message.
             `auto` means the model can pick between generating a message or calling a function.
-            Specifying a particular function via `{"type: "function", "function": {"name": "my_function"}}` forces the model to call that function.
+            Specifying a particular function via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that function.
             
             `none` is the default when no functions are present. `auto` is the default if functions are present.
           oneOf:
@@ -2003,7 +1991,7 @@ components:
           description: A list of message content tokens with log probability information.
           type: array
           items:
-            $ref: '#/components/schemas/ChatCompletionTokenLogprob'
+            $ref: "#/components/schemas/ChatCompletionTokenLogprob"
           nullable: true
       required:
         - content