Merge branch 'master' into any-enum-fix

openapi.yaml

@@ -5233,7 +5233,19 @@ components:
           description: &model_description |
             ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.
           type: string
-          enum: ["text-davinci-003","text-davinci-002","text-davinci-001","code-davinci-002","text-curie-001","text-babbage-001","text-ada-001"]
+          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",
+            ]
           x-oaiTypeLabel: string
         prompt:
           description: &completions_prompt_description |
@@ -5921,7 +5933,20 @@ components:
           description: ID of the model to use. See the [model endpoint compatibility](/docs/models/model-endpoint-compatibility) table for details on which models work with the Chat API.
           example: "gpt-3.5-turbo"
           type: string
-          enum: ["gpt-4","gpt-4-0314","gpt-4-0613","gpt-4-32k","gpt-4-32k-0314","gpt-4-32k-0613","gpt-3.5-turbo","gpt-3.5-turbo-16k","gpt-3.5-turbo-0301","gpt-3.5-turbo-0613","gpt-3.5-turbo-16k-0613"]
+          enum:
+            [
+              "gpt-4",
+              "gpt-4-0314",
+              "gpt-4-0613",
+              "gpt-4-32k",
+              "gpt-4-32k-0314",
+              "gpt-4-32k-0613",
+              "gpt-3.5-turbo",
+              "gpt-3.5-turbo-16k",
+              "gpt-3.5-turbo-0301",
+              "gpt-3.5-turbo-0613",
+              "gpt-3.5-turbo-16k-0613",
+            ]
           x-oaiTypeLabel: string
         frequency_penalty:
           type: number
@@ -6284,7 +6309,7 @@ components:
           description: ID of the model to use. You can use the `text-davinci-edit-001` or `code-davinci-edit-001` model with this endpoint.
           example: "text-davinci-edit-001"
           type: string
-          enum: ["text-davinci-edit-001","code-davinci-edit-001"]
+          enum: ["text-davinci-edit-001", "code-davinci-edit-001"]
           x-oaiTypeLabel: string
         input:
           description: The input text to use as a starting point for the edit.
@@ -6371,10 +6396,8 @@ components:
           type: string
           example: "A cute baby sea otter"
         model:
-          anyOf:
-            - type: string
-            - type: string
-              enum: ["dall-e-2", "dall-e-3"]
+          type: string
+          enum: ["dall-e-2", "dall-e-3"]
           x-oaiTypeLabel: string
           default: "dall-e-2"
           example: "dall-e-3"
@@ -6468,10 +6491,8 @@ components:
           type: string
           format: binary
         model:
-          anyOf:
-            - type: string
-            - type: string
-              enum: ["dall-e-2"]
+          type: string
+          enum: ["dall-e-2"]
           x-oaiTypeLabel: string
           default: "dall-e-2"
           example: "dall-e-2"
@@ -6506,10 +6527,8 @@ components:
           type: string
           format: binary
         model:
-          anyOf:
-            - type: string
-            - type: string
-              enum: ["dall-e-2"]
+          type: string
+          enum: ["dall-e-2"]
           x-oaiTypeLabel: string
           default: "dall-e-2"
           example: "dall-e-2"
@@ -6545,7 +6564,7 @@ components:
           default: "text-moderation-latest"
           example: "text-moderation-stable"
           type: string
-          enum: ["text-moderation-latest","text-moderation-stable"]
+          enum: ["text-moderation-latest", "text-moderation-stable"]
           x-oaiTypeLabel: string
       required:
         - input
@@ -6736,10 +6755,8 @@ components:
             The name of the model to fine-tune. You can select one of the
             [supported models](/docs/guides/fine-tuning/what-models-can-be-fine-tuned).
           example: "gpt-3.5-turbo"
-          anyOf:
-            - type: string
-            - type: string
-              enum: ["babbage-002", "davinci-002", "gpt-3.5-turbo"]
+          type: string
+          enum: ["babbage-002", "davinci-002", "gpt-3.5-turbo"]
           x-oaiTypeLabel: string
         training_file:
           description: |
@@ -6847,43 +6864,7 @@ components:
 
             See the [fine-tuning guide](/docs/guides/legacy-fine-tuning/creating-training-data) for more details.
           type: string
-          example: "file-ajSREls59WBbvgSzJSVWxMCB"
-        validation_file:
-          description: |
-            The ID of an uploaded file that contains validation data.
-
-            If you provide this file, the data is used to generate validation
-            metrics periodically during fine-tuning. These metrics can be viewed in
-            the [fine-tuning results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model).
-            Your train and validation data should be mutually exclusive.
-
-            Your dataset must be formatted as a JSONL file, where each validation
-            example is a JSON object with the keys "prompt" and "completion".
-            Additionally, you must upload your file with the purpose `fine-tune`.
-
-            See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for more details.
-          type: string
-          nullable: true
-          example: "file-XjSREls59WBbvgSzJSVWxMCa"
-        model:
-          description: |
-            The name of the base model to fine-tune. You can select one of "ada",
-            "babbage", "curie", "davinci", or a fine-tuned model created after 2022-04-21.
-            To learn more about these models, see the
-            [Models](https://platform.openai.com/docs/models) documentation.
-          default: "curie"
-          example: "curie"
-          nullable: true
-          type: string
-          enum: ["ada","babbage","curie","davinci"]
-          x-oaiTypeLabel: string
-        n_epochs:
-          description: |
-            The number of epochs to train the model for. An epoch refers to one
-            full cycle through the training dataset.
-          default: 4
-          type: integer
-          nullable: true
+          example: "file-abc123"
         batch_size:
           description: |
             The batch size to use for training. The batch size is the number of
@@ -6980,10 +6961,8 @@ components:
           default: "curie"
           example: "curie"
           nullable: true
-          anyOf:
-            - type: string
-            - type: string
-              enum: ["ada", "babbage", "curie", "davinci"]
+          type: string
+          enum: ["ada", "babbage", "curie", "davinci"]
           x-oaiTypeLabel: string
         prompt_loss_weight:
           description: |
@@ -7060,12 +7039,6 @@ components:
       type: object
       additionalProperties: false
       properties:
-        model:
-          description: *model_description
-          example: "text-embedding-ada-002"
-          type: string
-          enum: ["text-embedding-ada-002"]
-          x-oaiTypeLabel: string
         input:
           description: |
             Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`) and cannot be an empty string. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.
@@ -7096,10 +7069,8 @@ components:
         model:
           description: *model_description
           example: "text-embedding-ada-002"
-          anyOf:
-            - type: string
-            - type: string
-              enum: ["text-embedding-ada-002"]
+          type: string
+          enum: ["text-embedding-ada-002"]
           x-oaiTypeLabel: string
         encoding_format:
           description: "The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/)."
@@ -7251,10 +7222,8 @@ components:
         model:
           description: |
             One of the available [TTS models](/docs/models/tts): `tts-1` or `tts-1-hd`
-          anyOf:
-            - type: string
-            - type: string
-              enum: ["tts-1", "tts-1-hd"]
+          type: string
+          enum: ["tts-1", "tts-1-hd"]
           x-oaiTypeLabel: string
         input:
           type: string