From e691bb185aa2bba0369f0d4212239677243ba0ac Mon Sep 17 00:00:00 2001
From: HavenDV <havendv@gmail.com>
Date: Mon, 8 Jan 2024 03:41:54 +0400
Subject: [PATCH] feat: Updated openapi.yaml to latest.

---
 docs/openapi.yaml | 8903 ++++++++++++++++++++++++++++++++++++---------
 1 file changed, 7127 insertions(+), 1776 deletions(-)

diff --git a/docs/openapi.yaml b/docs/openapi.yaml
index 4aa6423d..823c6041 100644
--- a/docs/openapi.yaml
+++ b/docs/openapi.yaml
@@ -13,8 +13,30 @@ info:
 servers:
   - url: https://api.openai.com/v1
 tags:
-  - name: OpenAI
-    description: The OpenAI REST API
+  - name: Assistants
+    description: Build Assistants that can call models and use tools.
+  - name: Audio
+    description: Learn how to turn audio into text or text into audio.
+  - name: Chat
+    description: Given a list of messages comprising a conversation, the model will return a response.
+  - name: Completions
+    description: Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
+  - name: Embeddings
+    description: Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
+  - name: Fine-tuning
+    description: Manage fine-tuning jobs to tailor a model to your specific training data.
+  - name: Files
+    description: Files are used to upload documents that can be used with features like Assistants and Fine-tuning.
+  - name: Images
+    description: Given a prompt and/or an input image, the model will generate a new image.
+  - name: Models
+    description: List and describe the various models available in the API.
+  - name: Moderations
+    description: Given a input text, outputs if the model classifies it as violating OpenAI's content policy.
+  - name: Fine-tunes
+    description: Manage legacy fine-tuning jobs to tailor a model to your specific training data.
+  - name: Edits
+    description: Given a prompt and an instruction, the model will return an edited version of the prompt.
 paths:
   # Note: When adding an endpoint, make sure you also add it in the `groups` section, in the end of this file,
   # under the appropriate group
@@ -22,7 +44,7 @@ paths:
     post:
       operationId: createChatCompletion
       tags:
-        - OpenAI
+        - Chat
       summary: Creates a model response for the given chat conversation.
       requestBody:
         required: true
@@ -45,7 +67,7 @@ paths:
           Returns a [chat completion](/docs/api-reference/chat/object) object, or a streamed sequence of [chat completion chunk](/docs/api-reference/chat/streaming) objects if the request is streamed.
         path: create
         examples:
-          - title: No Streaming
+          - title: Default
             request:
               curl: |
                 curl https://api.openai.com/v1/chat/completions \
@@ -65,11 +87,10 @@ paths:
                     ]
                   }'
               python: |
-                import os
-                import openai
-                openai.api_key = os.getenv("OPENAI_API_KEY")
+                from openai import OpenAI
+                client = OpenAI()
 
-                completion = openai.ChatCompletion.create(
+                completion = client.chat.completions.create(
                   model="VAR_model_id",
                   messages=[
                     {"role": "system", "content": "You are a helpful assistant."},
@@ -99,12 +120,111 @@ paths:
                 "object": "chat.completion",
                 "created": 1677652288,
                 "model": "gpt-3.5-turbo-0613",
+                "system_fingerprint": "fp_44709d6fcb",
                 "choices": [{
                   "index": 0,
                   "message": {
                     "role": "assistant",
                     "content": "\n\nHello there, how may I assist you today?",
                   },
+                  "logprobs": null,
+                  "finish_reason": "stop"
+                }],
+                "usage": {
+                  "prompt_tokens": 9,
+                  "completion_tokens": 12,
+                  "total_tokens": 21
+                }
+              }
+          - title: Image input
+            request:
+              curl: |
+                curl https://api.openai.com/v1/chat/completions \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "gpt-4-vision-preview",
+                    "messages": [
+                      {
+                        "role": "user",
+                        "content": [
+                          {
+                            "type": "text",
+                            "text": "What’s in this image?"
+                          },
+                          {
+                            "type": "image_url",
+                            "image_url": {
+                              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
+                            }
+                          }
+                        ]
+                      }
+                    ],
+                    "max_tokens": 300
+                  }'
+              python: |
+                from openai import OpenAI
+
+                client = OpenAI()
+
+                response = client.chat.completions.create(
+                    model="gpt-4-vision-preview",
+                    messages=[
+                        {
+                            "role": "user",
+                            "content": [
+                                {"type": "text", "text": "What’s in this image?"},
+                                {
+                                    "type": "image_url",
+                                    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
+                                },
+                            ],
+                        }
+                    ],
+                    max_tokens=300,
+                )
+
+                print(response.choices[0])
+              node.js: |-
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const response = await openai.chat.completions.create({
+                    model: "gpt-4-vision-preview",
+                    messages: [
+                      {
+                        role: "user",
+                        content: [
+                          { type: "text", text: "What’s in this image?" },
+                          {
+                            type: "image_url",
+                            image_url:
+                              "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
+                          },
+                        ],
+                      },
+                    ],
+                  });
+                  console.log(response.choices[0]);
+                }
+                main();
+            response: &chat_completion_image_example |
+              {
+                "id": "chatcmpl-123",
+                "object": "chat.completion",
+                "created": 1677652288,
+                "model": "gpt-3.5-turbo-0613",
+                "system_fingerprint": "fp_44709d6fcb",
+                "choices": [{
+                  "index": 0,
+                  "message": {
+                    "role": "assistant",
+                    "content": "\n\nHello there, how may I assist you today?",
+                  },
+                  "logprobs": null,
                   "finish_reason": "stop"
                 }],
                 "usage": {
@@ -134,11 +254,10 @@ paths:
                     "stream": true
                   }'
               python: |
-                import os
-                import openai
-                openai.api_key = os.getenv("OPENAI_API_KEY")
+                from openai import OpenAI
+                client = OpenAI()
 
-                completion = openai.ChatCompletion.create(
+                completion = client.chat.completions.create(
                   model="VAR_model_id",
                   messages=[
                     {"role": "system", "content": "You are a helpful assistant."},
@@ -172,24 +291,169 @@ paths:
 
                 main();
             response: &chat_completion_chunk_example |
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
+
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]}
+
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"!"},"logprobs":null,"finish_reason":null}]}
+
+              ....
+
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":" today"},"logprobs":null,"finish_reason":null}]}
+
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"?"},"logprobs":null,"finish_reason":null}]}
+
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
+          - title: Functions
+            request:
+              curl: |
+                curl https://api.openai.com/v1/chat/completions \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -d '{
+                  "model": "gpt-3.5-turbo",
+                  "messages": [
+                    {
+                      "role": "user",
+                      "content": "What is the weather like in Boston?"
+                    }
+                  ],
+                  "tools": [
+                    {
+                      "type": "function",
+                      "function": {
+                        "name": "get_current_weather",
+                        "description": "Get the current weather in a given location",
+                        "parameters": {
+                          "type": "object",
+                          "properties": {
+                            "location": {
+                              "type": "string",
+                              "description": "The city and state, e.g. San Francisco, CA"
+                            },
+                            "unit": {
+                              "type": "string",
+                              "enum": ["celsius", "fahrenheit"]
+                            }
+                          },
+                          "required": ["location"]
+                        }
+                      }
+                    }
+                  ],
+                  "tool_choice": "auto"
+                }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                tools = [
+                  {
+                    "type": "function",
+                    "function": {
+                      "name": "get_current_weather",
+                      "description": "Get the current weather in a given location",
+                      "parameters": {
+                        "type": "object",
+                        "properties": {
+                          "location": {
+                            "type": "string",
+                            "description": "The city and state, e.g. San Francisco, CA",
+                          },
+                          "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                        },
+                        "required": ["location"],
+                      },
+                    }
+                  }
+                ]
+                messages = [{"role": "user", "content": "What's the weather like in Boston today?"}]
+                completion = client.chat.completions.create(
+                  model="VAR_model_id",
+                  messages=messages,
+                  tools=tools,
+                  tool_choice="auto"
+                )
+
+                print(completion)
+              node.js: |-
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const messages = [{"role": "user", "content": "What's the weather like in Boston today?"}];
+                  const tools = [
+                      {
+                        "type": "function",
+                        "function": {
+                          "name": "get_current_weather",
+                          "description": "Get the current weather in a given location",
+                          "parameters": {
+                            "type": "object",
+                            "properties": {
+                              "location": {
+                                "type": "string",
+                                "description": "The city and state, e.g. San Francisco, CA",
+                              },
+                              "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                            },
+                            "required": ["location"],
+                          },
+                        }
+                      }
+                  ];
+
+                  const response = await openai.chat.completions.create({
+                    model: "gpt-3.5-turbo",
+                    messages: messages,
+                    tools: tools,
+                    tool_choice: "auto",
+                  });
+
+                  console.log(response);
+                }
+
+                main();
+            response: &chat_completion_function_example |
               {
-                "id": "chatcmpl-123",
-                "object": "chat.completion.chunk",
-                "created": 1677652288,
-                "model": "gpt-3.5-turbo",
-                "choices": [{
-                  "index": 0,
-                  "delta": {
-                    "content": "Hello",
-                  },
-                  "finish_reason": "stop"
-                }]
+                "id": "chatcmpl-abc123",
+                "object": "chat.completion",
+                "created": 1699896916,
+                "model": "gpt-3.5-turbo-0613",
+                "choices": [
+                  {
+                    "index": 0,
+                    "message": {
+                      "role": "assistant",
+                      "content": null,
+                      "tool_calls": [
+                        {
+                          "id": "call_abc123",
+                          "type": "function",
+                          "function": {
+                            "name": "get_current_weather",
+                            "arguments": "{\n\"location\": \"Boston, MA\"\n}"
+                          }
+                        }
+                      ]
+                    },
+                    "logprobs": null,
+                    "finish_reason": "tool_calls"
+                  }
+                ],
+                "usage": {
+                  "prompt_tokens": 82,
+                  "completion_tokens": 17,
+                  "total_tokens": 99
+                }
               }
+
   /completions:
     post:
       operationId: createCompletion
       tags:
-        - OpenAI
+        - Completions
       summary: Creates a completion for the provided prompt and parameters.
       requestBody:
         required: true
@@ -206,6 +470,7 @@ paths:
                 $ref: "#/components/schemas/CreateCompletionResponse"
       x-oaiMeta:
         name: Create completion
+        group: completions
         returns: |
           Returns a [completion](/docs/api-reference/completions/object) object, or a sequence of completion objects if the request is streamed.
         legacy: true
@@ -223,10 +488,10 @@ paths:
                     "temperature": 0
                   }'
               python: |
-                import os
-                import openai
-                openai.api_key = os.getenv("OPENAI_API_KEY")
-                openai.Completion.create(
+                from openai import OpenAI
+                client = OpenAI()
+
+                client.completions.create(
                   model="VAR_model_id",
                   prompt="Say this is a test",
                   max_tokens=7,
@@ -254,6 +519,7 @@ paths:
                 "object": "text_completion",
                 "created": 1589478378,
                 "model": "VAR_model_id",
+                "system_fingerprint": "fp_44709d6fcb",
                 "choices": [
                   {
                     "text": "\n\nThis is indeed a test",
@@ -282,17 +548,17 @@ paths:
                     "stream": true
                   }'
               python: |
-                import os
-                import openai
-                openai.api_key = os.getenv("OPENAI_API_KEY")
-                for chunk in openai.Completion.create(
+                from openai import OpenAI
+                client = OpenAI()
+
+                for chunk in client.completions.create(
                   model="VAR_model_id",
                   prompt="Say this is a test",
                   max_tokens=7,
                   temperature=0,
                   stream=True
                 ):
-                  print(chunk['choices'][0]['text'])
+                  print(chunk.choices[0].text)
               node.js: |-
                 import OpenAI from "openai";
 
@@ -324,13 +590,14 @@ paths:
                   }
                 ],
                 "model": "gpt-3.5-turbo-instruct"
+                "system_fingerprint": "fp_44709d6fcb",
               }
   /edits:
     post:
       operationId: createEdit
       deprecated: true
       tags:
-        - OpenAI
+        - Edits
       summary: Creates a new edit for the provided input, instruction, and parameters.
       requestBody:
         required: true
@@ -362,10 +629,10 @@ paths:
                   "instruction": "Fix the spelling mistakes"
                 }'
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.Edit.create(
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.edits.create(
                 model="VAR_model_id",
                 input="What day of the wek is it?",
                 instruction="Fix the spelling mistakes"
@@ -407,7 +674,7 @@ paths:
     post:
       operationId: createImage
       tags:
-        - OpenAI
+        - Images
       summary: Creates an image given a prompt.
       requestBody:
         required: true
@@ -424,6 +691,7 @@ paths:
                 $ref: "#/components/schemas/ImagesResponse"
       x-oaiMeta:
         name: Create image
+        group: images
         returns: Returns a list of [image](/docs/api-reference/images/object) objects.
         examples:
           request:
@@ -432,17 +700,19 @@ paths:
                 -H "Content-Type: application/json" \
                 -H "Authorization: Bearer $OPENAI_API_KEY" \
                 -d '{
+                  "model": "dall-e-3",
                   "prompt": "A cute baby sea otter",
-                  "n": 2,
+                  "n": 1,
                   "size": "1024x1024"
                 }'
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.Image.create(
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.images.generate(
+                model="dall-e-3",
                 prompt="A cute baby sea otter",
-                n=2,
+                n=1,
                 size="1024x1024"
               )
             node.js: |-
@@ -451,7 +721,7 @@ paths:
               const openai = new OpenAI();
 
               async function main() {
-                const image = await openai.images.generate({ prompt: "A cute baby sea otter" });
+                const image = await openai.images.generate({ model: "dall-e-3", prompt: "A cute baby sea otter" });
 
                 console.log(image.data);
               }
@@ -468,12 +738,11 @@ paths:
                 }
               ]
             }
-
   /images/edits:
     post:
       operationId: createImageEdit
       tags:
-        - OpenAI
+        - Images
       summary: Creates an edited or extended image given an original image and a prompt.
       requestBody:
         required: true
@@ -490,6 +759,7 @@ paths:
                 $ref: "#/components/schemas/ImagesResponse"
       x-oaiMeta:
         name: Create image edit
+        group: images
         returns: Returns a list of [image](/docs/api-reference/images/object) objects.
         examples:
           request:
@@ -502,10 +772,10 @@ paths:
                 -F n=2 \
                 -F size="1024x1024"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.Image.create_edit(
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.images.edit(
                 image=open("otter.png", "rb"),
                 mask=open("mask.png", "rb"),
                 prompt="A cute baby sea otter wearing a beret",
@@ -540,12 +810,11 @@ paths:
                 }
               ]
             }
-
   /images/variations:
     post:
       operationId: createImageVariation
       tags:
-        - OpenAI
+        - Images
       summary: Creates a variation of a given image.
       requestBody:
         required: true
@@ -562,6 +831,7 @@ paths:
                 $ref: "#/components/schemas/ImagesResponse"
       x-oaiMeta:
         name: Create image variation
+        group: images
         returns: Returns a list of [image](/docs/api-reference/images/object) objects.
         examples:
           request:
@@ -572,11 +842,11 @@ paths:
                 -F n=2 \
                 -F size="1024x1024"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.Image.create_variation(
-                image=open("otter.png", "rb"),
+              from openai import OpenAI
+              client = OpenAI()
+
+              response = client.images.create_variation(
+                image=open("image_edit_original.png", "rb"),
                 n=2,
                 size="1024x1024"
               )
@@ -611,7 +881,7 @@ paths:
     post:
       operationId: createEmbedding
       tags:
-        - OpenAI
+        - Embeddings
       summary: Creates an embedding vector representing the input text.
       requestBody:
         required: true
@@ -628,6 +898,7 @@ paths:
                 $ref: "#/components/schemas/CreateEmbeddingResponse"
       x-oaiMeta:
         name: Create embeddings
+        group: embeddings
         returns: A list of [embedding](/docs/api-reference/embeddings/object) objects.
         examples:
           request:
@@ -637,15 +908,17 @@ paths:
                 -H "Content-Type: application/json" \
                 -d '{
                   "input": "The food was delicious and the waiter...",
-                  "model": "text-embedding-ada-002"
+                  "model": "text-embedding-ada-002",
+                  "encoding_format": "float"
                 }'
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.Embedding.create(
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.embeddings.create(
                 model="text-embedding-ada-002",
-                input="The food was delicious and the waiter..."
+                input="The food was delicious and the waiter...",
+                encoding_format="float"
               )
             node.js: |-
               import OpenAI from "openai";
@@ -656,6 +929,7 @@ paths:
                 const embedding = await openai.embeddings.create({
                   model: "text-embedding-ada-002",
                   input: "The quick brown fox jumped over the lazy dog",
+                  encoding_format: "float",
                 });
 
                 console.log(embedding);
@@ -684,11 +958,83 @@ paths:
               }
             }
 
+  /audio/speech:
+    post:
+      operationId: createSpeech
+      tags:
+        - Audio
+      summary: Generates audio from the input text.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateSpeechRequest"
+      responses:
+        "200":
+          description: OK
+          headers:
+            Transfer-Encoding:
+              schema:
+                type: string
+              description: chunked
+          content:
+            application/octet-stream:
+              schema:
+                type: string
+                format: binary
+      x-oaiMeta:
+        name: Create speech
+        group: audio
+        returns: The audio file content.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/audio/speech \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                  "model": "tts-1",
+                  "input": "The quick brown fox jumped over the lazy dog.",
+                  "voice": "alloy"
+                }' \
+                --output speech.mp3
+            python: |
+              from pathlib import Path
+              import openai
+
+              speech_file_path = Path(__file__).parent / "speech.mp3"
+              response = openai.audio.speech.create(
+                model="tts-1",
+                voice="alloy",
+                input="The quick brown fox jumped over the lazy dog."
+              )
+              response.stream_to_file(speech_file_path)
+            node: |
+              import fs from "fs";
+              import path from "path";
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              const speechFile = path.resolve("./speech.mp3");
+
+              async function main() {
+                const mp3 = await openai.audio.speech.create({
+                  model: "tts-1",
+                  voice: "alloy",
+                  input: "Today is a wonderful day to build something people love!",
+                });
+                console.log(speechFile);
+                const buffer = Buffer.from(await mp3.arrayBuffer());
+                await fs.promises.writeFile(speechFile, buffer);
+              }
+              main();
   /audio/transcriptions:
     post:
       operationId: createTranscription
       tags:
-        - OpenAI
+        - Audio
       summary: Transcribes audio into the input language.
       requestBody:
         required: true
@@ -705,7 +1051,8 @@ paths:
                 $ref: "#/components/schemas/CreateTranscriptionResponse"
       x-oaiMeta:
         name: Create transcription
-        returns: The transcriped text.
+        group: audio
+        returns: The transcribed text.
         examples:
           request:
             curl: |
@@ -715,12 +1062,15 @@ paths:
                 -F file="@/path/to/file/audio.mp3" \
                 -F model="whisper-1"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              audio_file = open("audio.mp3", "rb")
-              transcript = openai.Audio.transcribe("whisper-1", audio_file)
-            node: |-
+              from openai import OpenAI
+              client = OpenAI()
+
+              audio_file = open("speech.mp3", "rb")
+              transcript = client.audio.transcriptions.create(
+                model="whisper-1",
+                file=audio_file
+              )
+            node: |
               import fs from "fs";
               import OpenAI from "openai";
 
@@ -739,12 +1089,11 @@ paths:
             {
               "text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that."
             }
-
   /audio/translations:
     post:
       operationId: createTranslation
       tags:
-        - OpenAI
+        - Audio
       summary: Translates audio into English.
       requestBody:
         required: true
@@ -761,6 +1110,7 @@ paths:
                 $ref: "#/components/schemas/CreateTranslationResponse"
       x-oaiMeta:
         name: Create translation
+        group: audio
         returns: The translated text.
         examples:
           request:
@@ -771,21 +1121,29 @@ paths:
                 -F file="@/path/to/file/german.m4a" \
                 -F model="whisper-1"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              audio_file = open("german.m4a", "rb")
-              transcript = openai.Audio.translate("whisper-1", audio_file)
+              from openai import OpenAI
+              client = OpenAI()
+
+              audio_file = open("speech.mp3", "rb")
+              transcript = client.audio.translations.create(
+                model="whisper-1",
+                file=audio_file
+              )
             node: |
-              const { Configuration, OpenAIApi } = require("openai");
-              const configuration = new Configuration({
-                apiKey: process.env.OPENAI_API_KEY,
-              });
-              const openai = new OpenAIApi(configuration);
-              const resp = await openai.createTranslation(
-                fs.createReadStream("audio.mp3"),
-                "whisper-1"
-              );
+              import fs from "fs";
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                  const translation = await openai.audio.translations.create({
+                      file: fs.createReadStream("speech.mp3"),
+                      model: "whisper-1",
+                  });
+
+                  console.log(translation.text);
+              }
+              main();
           response: |
             {
               "text": "Hello, my name is Wolfgang and I come from Germany. Where are you heading today?"
@@ -795,8 +1153,15 @@ paths:
     get:
       operationId: listFiles
       tags:
-        - OpenAI
+        - Files
       summary: Returns a list of files that belong to the user's organization.
+      parameters:
+        - in: query
+          name: purpose
+          required: false
+          schema:
+            type: string
+          description: Only return files with the given purpose.
       responses:
         "200":
           description: OK
@@ -806,17 +1171,18 @@ paths:
                 $ref: "#/components/schemas/ListFilesResponse"
       x-oaiMeta:
         name: List files
-        returns: A list of [file](/docs/api-reference/files/object) objects.
+        group: files
+        returns: A list of [File](/docs/api-reference/files/object) objects.
         examples:
           request:
             curl: |
               curl https://api.openai.com/v1/files \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.File.list()
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.files.list()
             node.js: |-
               import OpenAI from "openai";
 
@@ -839,8 +1205,8 @@ paths:
                   "object": "file",
                   "bytes": 175,
                   "created_at": 1613677385,
-                  "filename": "train.jsonl",
-                  "purpose": "search"
+                  "filename": "salesOverview.pdf",
+                  "purpose": "assistants",
                 },
                 {
                   "id": "file-abc123",
@@ -848,7 +1214,7 @@ paths:
                   "bytes": 140,
                   "created_at": 1613779121,
                   "filename": "puppy.jsonl",
-                  "purpose": "search"
+                  "purpose": "fine-tune",
                 }
               ],
               "object": "list"
@@ -856,10 +1222,13 @@ paths:
     post:
       operationId: createFile
       tags:
-        - OpenAI
+        - Files
       summary: |
-        Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit.
+        Upload a file that can be used across various endpoints. The size of all the files uploaded by one organization can be up to 100 GB.
+
+        The size of individual files can be a maximum of 512 MB or 2 million tokens for Assistants. See the [Assistants Tools guide](/docs/assistants/tools) to learn more about the types of files supported. The Fine-tuning API only supports `.jsonl` files.
 
+        Please [contact us](https://help.openai.com/) if you need to increase these storage limits.
       requestBody:
         required: true
         content:
@@ -875,7 +1244,8 @@ paths:
                 $ref: "#/components/schemas/OpenAIFile"
       x-oaiMeta:
         name: Upload file
-        returns: The uploaded [file](/docs/api-reference/files/object) object.
+        group: files
+        returns: The uploaded [File](/docs/api-reference/files/object) object.
         examples:
           request:
             curl: |
@@ -884,12 +1254,12 @@ paths:
                 -F purpose="fine-tune" \
                 -F file="@mydata.jsonl"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.File.create(
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.files.create(
                 file=open("mydata.jsonl", "rb"),
-                purpose='fine-tune'
+                purpose="fine-tune"
               )
             node.js: |-
               import fs from "fs";
@@ -911,18 +1281,16 @@ paths:
             {
               "id": "file-abc123",
               "object": "file",
-              "bytes": 140,
-              "created_at": 1613779121,
+              "bytes": 120000,
+              "created_at": 1677610602,
               "filename": "mydata.jsonl",
               "purpose": "fine-tune",
-              "status": "uploaded" | "processed" | "pending" | "error"
             }
-
   /files/{file_id}:
     delete:
       operationId: deleteFile
       tags:
-        - OpenAI
+        - Files
       summary: Delete a file.
       parameters:
         - in: path
@@ -940,6 +1308,7 @@ paths:
                 $ref: "#/components/schemas/DeleteFileResponse"
       x-oaiMeta:
         name: Delete file
+        group: files
         returns: Deletion status.
         examples:
           request:
@@ -948,10 +1317,10 @@ paths:
                 -X DELETE \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.File.delete("file-abc123")
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.files.delete("file-abc123")
             node.js: |-
               import OpenAI from "openai";
 
@@ -973,7 +1342,7 @@ paths:
     get:
       operationId: retrieveFile
       tags:
-        - OpenAI
+        - Files
       summary: Returns information about a specific file.
       parameters:
         - in: path
@@ -991,17 +1360,18 @@ paths:
                 $ref: "#/components/schemas/OpenAIFile"
       x-oaiMeta:
         name: Retrieve file
-        returns: The [file](/docs/api-reference/files/object) object matching the specified ID.
+        group: files
+        returns: The [File](/docs/api-reference/files/object) object matching the specified ID.
         examples:
           request:
             curl: |
               curl https://api.openai.com/v1/files/file-abc123 \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.File.retrieve("file-abc123")
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.files.retrieve("file-abc123")
             node.js: |-
               import OpenAI from "openai";
 
@@ -1018,17 +1388,16 @@ paths:
             {
               "id": "file-abc123",
               "object": "file",
-              "bytes": 140,
-              "created_at": 1613779657,
+              "bytes": 120000,
+              "created_at": 1677610602,
               "filename": "mydata.jsonl",
-              "purpose": "fine-tune"
+              "purpose": "fine-tune",
             }
-
   /files/{file_id}/content:
     get:
       operationId: downloadFile
       tags:
-        - OpenAI
+        - Files
       summary: Returns the contents of the specified file.
       parameters:
         - in: path
@@ -1046,6 +1415,7 @@ paths:
                 type: string
       x-oaiMeta:
         name: Retrieve file content
+        group: files
         returns: The file content.
         examples:
           request:
@@ -1053,10 +1423,10 @@ paths:
               curl https://api.openai.com/v1/files/file-abc123/content \
                 -H "Authorization: Bearer $OPENAI_API_KEY" > file.jsonl
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              content = openai.File.download("file-abc123")
+              from openai import OpenAI
+              client = OpenAI()
+
+              content = client.files.retrieve_content("file-abc123")
             node.js: |
               import OpenAI from "openai";
 
@@ -1074,7 +1444,7 @@ paths:
     post:
       operationId: createFineTuningJob
       tags:
-        - OpenAI
+        - Fine-tuning
       summary: |
         Creates a job that fine-tunes a specified model from a given dataset.
 
@@ -1096,23 +1466,27 @@ paths:
                 $ref: "#/components/schemas/FineTuningJob"
       x-oaiMeta:
         name: Create fine-tuning job
+        group: fine-tuning
         returns: A [fine-tuning.job](/docs/api-reference/fine-tuning/object) object.
         examples:
-          - title: No hyperparameters
+          - title: Default
             request:
               curl: |
                 curl https://api.openai.com/v1/fine_tuning/jobs \
                   -H "Content-Type: application/json" \
                   -H "Authorization: Bearer $OPENAI_API_KEY" \
                   -d '{
-                    "training_file": "file-abc123"
-                    "model": "gpt-3.5-turbo",
+                    "training_file": "file-BK7bzQj3FfZFXr7DbL6xJwfo",
+                    "model": "gpt-3.5-turbo"
                   }'
               python: |
-                import os
-                import openai
-                openai.api_key = os.getenv("OPENAI_API_KEY")
-                openai.FineTuningJob.create(training_file="file-abc123", model="gpt-3.5-turbo")
+                from openai import OpenAI
+                client = OpenAI()
+
+                client.fine_tuning.jobs.create(
+                  training_file="file-abc123",
+                  model="gpt-3.5-turbo"
+                )
               node.js: |
                 import OpenAI from "openai";
 
@@ -1130,7 +1504,7 @@ paths:
             response: |
               {
                 "object": "fine_tuning.job",
-                "id": "ft-AF1WoRqd3aJAHsqc9NY7iL8F",
+                "id": "ftjob-abc123",
                 "model": "gpt-3.5-turbo-0613",
                 "created_at": 1614807352,
                 "fine_tuned_model": null,
@@ -1140,24 +1514,30 @@ paths:
                 "validation_file": null,
                 "training_file": "file-abc123",
               }
-          - title: Hyperparameters
+          - title: Epochs
             request:
               curl: |
                 curl https://api.openai.com/v1/fine_tuning/jobs \
                   -H "Content-Type: application/json" \
                   -H "Authorization: Bearer $OPENAI_API_KEY" \
                   -d '{
-                    "training_file": "file-abc123"
+                    "training_file": "file-abc123",
                     "model": "gpt-3.5-turbo",
                     "hyperparameters": {
                       "n_epochs": 2
                     }
                   }'
               python: |
-                import os
-                import openai
-                openai.api_key = os.getenv("OPENAI_API_KEY")
-                openai.FineTuningJob.create(training_file="file-abc123", model="gpt-3.5-turbo", hyperparameters={"n_epochs":2})
+                from openai import OpenAI
+                client = OpenAI()
+
+                client.fine_tuning.jobs.create(
+                  training_file="file-abc123",
+                  model="gpt-3.5-turbo",
+                  hyperparameters={
+                    "n_epochs":2
+                  }
+                )
               node.js: |
                 import OpenAI from "openai";
 
@@ -1167,7 +1547,7 @@ paths:
                   const fineTune = await openai.fineTuning.jobs.create({
                     training_file: "file-abc123",
                     model: "gpt-3.5-turbo",
-                    hyperparameters: { n_epochs: 2 },
+                    hyperparameters: { n_epochs: 2 }
                   });
 
                   console.log(fineTune);
@@ -1177,7 +1557,7 @@ paths:
             response: |
               {
                 "object": "fine_tuning.job",
-                "id": "ft-AF1WoRqd3aJAHsqc9NY7iL8F",
+                "id": "ftjob-abc123",
                 "model": "gpt-3.5-turbo-0613",
                 "created_at": 1614807352,
                 "fine_tuned_model": null,
@@ -1186,12 +1566,60 @@ paths:
                 "status": "queued",
                 "validation_file": null,
                 "training_file": "file-abc123",
-                "hyperparameters":{"n_epochs":2},
+                "hyperparameters": {"n_epochs": 2},
+              }
+          - title: Validation file
+            request:
+              curl: |
+                curl https://api.openai.com/v1/fine_tuning/jobs \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "training_file": "file-abc123",
+                    "validation_file": "file-abc123",
+                    "model": "gpt-3.5-turbo"
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                client.fine_tuning.jobs.create(
+                  training_file="file-abc123",
+                  validation_file="file-def456",
+                  model="gpt-3.5-turbo"
+                )
+              node.js: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const fineTune = await openai.fineTuning.jobs.create({
+                    training_file: "file-abc123",
+                    validation_file: "file-abc123"
+                  });
+
+                  console.log(fineTune);
+                }
+
+                main();
+            response: |
+              {
+                "object": "fine_tuning.job",
+                "id": "ftjob-abc123",
+                "model": "gpt-3.5-turbo-0613",
+                "created_at": 1614807352,
+                "fine_tuned_model": null,
+                "organization_id": "org-123",
+                "result_files": [],
+                "status": "queued",
+                "validation_file": "file-abc123",
+                "training_file": "file-abc123",
               }
     get:
       operationId: listPaginatedFineTuningJobs
       tags:
-        - OpenAI
+        - Fine-tuning
       summary: |
         List your organization's fine-tuning jobs
       parameters:
@@ -1217,6 +1645,7 @@ paths:
                 $ref: "#/components/schemas/ListPaginatedFineTuningJobsResponse"
       x-oaiMeta:
         name: List fine-tuning jobs
+        group: fine-tuning
         returns: A list of paginated [fine-tuning job](/docs/api-reference/fine-tuning/object) objects.
         examples:
           request:
@@ -1224,10 +1653,10 @@ paths:
               curl https://api.openai.com/v1/fine_tuning/jobs?limit=2 \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.FineTuningJob.list()
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.fine_tuning.jobs.list()
             node.js: |-
               import OpenAI from "openai";
 
@@ -1263,7 +1692,7 @@ paths:
     get:
       operationId: retrieveFineTuningJob
       tags:
-        - OpenAI
+        - Fine-tuning
       summary: |
         Get info about a fine-tuning job.
 
@@ -1286,6 +1715,7 @@ paths:
                 $ref: "#/components/schemas/FineTuningJob"
       x-oaiMeta:
         name: Retrieve fine-tuning job
+        group: fine-tuning
         returns: The [fine-tuning](/docs/api-reference/fine-tunes/object) object with the given ID.
         examples:
           request:
@@ -1293,18 +1723,18 @@ paths:
               curl https://api.openai.com/v1/fine_tuning/jobs/ft-AF1WoRqd3aJAHsqc9NY7iL8F \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.FineTuningJob.retrieve("ft-anaKUAgnnBkNGB3QcSr4pImR")
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.fine_tuning.jobs.retrieve("ftjob-abc123")
             node.js: |
               import OpenAI from "openai";
 
               const openai = new OpenAI();
 
               async function main() {
-                const fineTune = await openai.fineTuning.jobs.retrieve("ft-AF1WoRqd3aJAHsqc9NY7iL8F");
-                
+                const fineTune = await openai.fineTuning.jobs.retrieve("ftjob-abc123");
+
                 console.log(fineTune);
               }
 
@@ -1312,7 +1742,7 @@ paths:
           response: &fine_tuning_example |
             {
               "object": "fine_tuning.job",
-              "id": "ft-zRdUkP4QeZqeYjDcQL0wwam1",
+              "id": "ftjob-abc123",
               "model": "davinci-002",
               "created_at": 1692661014,
               "finished_at": 1692661190,
@@ -1329,12 +1759,11 @@ paths:
               },
               "trained_tokens": 5768
             }
-
   /fine_tuning/jobs/{fine_tuning_job_id}/events:
     get:
       operationId: listFineTuningEvents
       tags:
-        - OpenAI
+        - Fine-tuning
       summary: |
         Get status updates for a fine-tuning job.
       parameters:
@@ -1368,24 +1797,28 @@ paths:
                 $ref: "#/components/schemas/ListFineTuningJobEventsResponse"
       x-oaiMeta:
         name: List fine-tuning events
+        group: fine-tuning
         returns: A list of fine-tuning event objects.
         examples:
           request:
             curl: |
-              curl https://api.openai.com/v1/fine_tuning/jobs/ft-AF1WoRqd3aJAHsqc9NY7iL8F/events \
+              curl https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/events \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.FineTuningJob.list_events(id="ft-w9WJrnTe9vcVopaTy9LrlGQv", limit=2)
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.fine_tuning.jobs.list_events(
+                fine_tuning_job_id="ftjob-abc123",
+                limit=2
+              )
             node.js: |-
               import OpenAI from "openai";
 
               const openai = new OpenAI();
 
               async function main() {
-                const list = await openai.fineTuning.list_events(id="ft-w9WJrnTe9vcVopaTy9LrlGQv", limit=2);
+                const list = await openai.fineTuning.list_events(id="ftjob-abc123", limit=2);
 
                 for await (const fineTune of list) {
                   console.log(fineTune);
@@ -1418,12 +1851,11 @@ paths:
               ],
               "has_more": true
             }
-
   /fine_tuning/jobs/{fine_tuning_job_id}/cancel:
     post:
       operationId: cancelFineTuningJob
       tags:
-        - OpenAI
+        - Fine-tuning
       summary: |
         Immediately cancel a fine-tune job.
       parameters:
@@ -1444,24 +1876,25 @@ paths:
                 $ref: "#/components/schemas/FineTuningJob"
       x-oaiMeta:
         name: Cancel fine-tuning
+        group: fine-tuning
         returns: The cancelled [fine-tuning](/docs/api-reference/fine-tuning/object) object.
         examples:
           request:
             curl: |
-              curl -X POST https://api.openai.com/v1/fine_tuning/jobs/ft-AF1WoRqd3aJAHsqc9NY7iL8F/cancel \
+              curl -X POST https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/cancel \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.FineTuningJob.cancel("ft-anaKUAgnnBkNGB3QcSr4pImR")
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.fine_tuning.jobs.cancel("ftjob-abc123")
             node.js: |-
               import OpenAI from "openai";
 
               const openai = new OpenAI();
 
               async function main() {
-                const fineTune = await openai.fineTuning.jobs.cancel("ft-AF1WoRqd3aJAHsqc9NY7iL8F");
+                const fineTune = await openai.fineTuning.jobs.cancel("ftjob-abc123");
 
                 console.log(fineTune);
               }
@@ -1469,7 +1902,7 @@ paths:
           response: |
             {
               "object": "fine_tuning.job",
-              "id": "ft-gleYLJhWh1YFufiy29AahVpj",
+              "id": "ftjob-abc123",
               "model": "gpt-3.5-turbo-0613",
               "created_at": 1689376978,
               "fine_tuned_model": null,
@@ -1488,7 +1921,7 @@ paths:
       operationId: createFineTune
       deprecated: true
       tags:
-        - OpenAI
+        - Fine-tunes
       summary: |
         Creates a job that fine-tunes a specified model from a given dataset.
 
@@ -1510,6 +1943,7 @@ paths:
                 $ref: "#/components/schemas/FineTune"
       x-oaiMeta:
         name: Create fine-tune
+        group: fine-tunes
         returns: A [fine-tune](/docs/api-reference/fine-tunes/object) object.
         examples:
           request:
@@ -1521,10 +1955,14 @@ paths:
                   "training_file": "file-abc123"
                 }'
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.FineTune.create(training_file="file-abc123")
+              from openai import OpenAI
+              client = OpenAI()
+
+              fine_tune = client.fine_tunes.create(
+                training_file="file-abc123",
+                model="davinci"
+              }
+              print(fine_tune)
             node.js: |
               import OpenAI from "openai";
 
@@ -1571,7 +2009,7 @@ paths:
                   "bytes": 1547276,
                   "created_at": 1610062281,
                   "filename": "my-data-train.jsonl",
-                  "purpose": "fine-tune-train"
+                  "purpose": "fine-tune-results"
                 }
               ],
               "updated_at": 1614807352,
@@ -1580,7 +2018,7 @@ paths:
       operationId: listFineTunes
       deprecated: true
       tags:
-        - OpenAI
+        - Fine-tunes
       summary: |
         List your organization's fine-tuning jobs
       responses:
@@ -1592,6 +2030,7 @@ paths:
                 $ref: "#/components/schemas/ListFineTunesResponse"
       x-oaiMeta:
         name: List fine-tunes
+        group: fine-tunes
         returns: A list of [fine-tune](/docs/api-reference/fine-tunes/object) objects.
         examples:
           request:
@@ -1599,10 +2038,11 @@ paths:
               curl https://api.openai.com/v1/fine-tunes \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.FineTune.list()
+              from openai import OpenAI
+              client = OpenAI()
+
+              models = client.fine_tunes.list()
+              print(models)
             node.js: |-
               import OpenAI from "openai";
 
@@ -1639,13 +2079,12 @@ paths:
                 { ... }
               ]
             }
-
   /fine-tunes/{fine_tune_id}:
     get:
       operationId: retrieveFineTune
       deprecated: true
       tags:
-        - OpenAI
+        - Fine-tunes
       summary: |
         Gets info about the fine-tune job.
 
@@ -1668,24 +2107,26 @@ paths:
                 $ref: "#/components/schemas/FineTune"
       x-oaiMeta:
         name: Retrieve fine-tune
+        group: fine-tunes
         returns: The [fine-tune](/docs/api-reference/fine-tunes/object) object with the given ID.
         examples:
           request:
             curl: |
-              curl https://api.openai.com/v1/fine-tunes/ft-AF1WoRqd3aJAHsqc9NY7iL8F \
+              curl https://api.openai.com/v1/fine-tunes/ft-abc123 \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.FineTune.retrieve(id="ft-AF1WoRqd3aJAHsqc9NY7iL8F")
+              from openai import OpenAI
+              client = OpenAI()
+
+              fine_tune = client.fine_tunes.retrieve("ft-abc123")
+              print(fine_tune)
             node.js: |-
               import OpenAI from "openai";
 
               const openai = new OpenAI();
 
               async function main() {
-                const fineTune = await openai.fineTunes.retrieve("ft-AF1WoRqd3aJAHsqc9NY7iL8F");
+                const fineTune = await openai.fineTunes.retrieve("ft-abc123");
 
                 console.log(fineTune);
               }
@@ -1693,7 +2134,7 @@ paths:
               main();
           response: &fine_tune_example |
             {
-              "id": "ft-AF1WoRqd3aJAHsqc9NY7iL8F",
+              "id": "ft-abc123",
               "object": "fine-tune",
               "model": "curie",
               "created_at": 1614807352,
@@ -1756,18 +2197,17 @@ paths:
                   "bytes": 1547276,
                   "created_at": 1610062281,
                   "filename": "my-data-train.jsonl",
-                  "purpose": "fine-tune-train"
+                  "purpose": "fine-tune"
                 }
               ],
               "updated_at": 1614807865,
             }
-
   /fine-tunes/{fine_tune_id}/cancel:
     post:
       operationId: cancelFineTune
       deprecated: true
       tags:
-        - OpenAI
+        - Fine-tunes
       summary: |
         Immediately cancel a fine-tune job.
       parameters:
@@ -1788,6 +2228,7 @@ paths:
                 $ref: "#/components/schemas/FineTune"
       x-oaiMeta:
         name: Cancel fine-tune
+        group: fine-tunes
         returns: The cancelled [fine-tune](/docs/api-reference/fine-tunes/object) object.
         examples:
           request:
@@ -1795,10 +2236,11 @@ paths:
               curl https://api.openai.com/v1/fine-tunes/ft-AF1WoRqd3aJAHsqc9NY7iL8F/cancel \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.FineTune.cancel(id="ft-AF1WoRqd3aJAHsqc9NY7iL8F")
+              from openai import OpenAI
+              client = OpenAI()
+
+              fine_tune = client.fine_tunes.cancel("ft-abc123")
+              print(fine_tune)
             node.js: |-
               import OpenAI from "openai";
 
@@ -1830,18 +2272,17 @@ paths:
                   "bytes": 1547276,
                   "created_at": 1610062281,
                   "filename": "my-data-train.jsonl",
-                  "purpose": "fine-tune-train"
+                  "purpose": "fine-tune"
                 }
               ],
               "updated_at": 1614807789,
             }
-
   /fine-tunes/{fine_tune_id}/events:
     get:
       operationId: listFineTuneEvents
       deprecated: true
       tags:
-        - OpenAI
+        - Fine-tunes
       summary: |
         Get fine-grained status updates for a fine-tune job.
       parameters:
@@ -1877,6 +2318,7 @@ paths:
                 $ref: "#/components/schemas/ListFineTuneEventsResponse"
       x-oaiMeta:
         name: List fine-tune events
+        group: fine-tunes
         returns: A list of fine-tune event objects.
         examples:
           request:
@@ -1884,10 +2326,11 @@ paths:
               curl https://api.openai.com/v1/fine-tunes/ft-AF1WoRqd3aJAHsqc9NY7iL8F/events \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.FineTune.list_events(id="ft-AF1WoRqd3aJAHsqc9NY7iL8F")
+              from openai import OpenAI
+              client = OpenAI()
+
+              fine_tune = client.fine_tunes.list_events("ft-abc123")
+              print(fine_tune)
             node.js: |-
               import OpenAI from "openai";
 
@@ -1940,7 +2383,7 @@ paths:
     get:
       operationId: listModels
       tags:
-        - OpenAI
+        - Models
       summary: Lists the currently available models, and provides basic information about each one such as the owner and availability.
       responses:
         "200":
@@ -1951,6 +2394,7 @@ paths:
                 $ref: "#/components/schemas/ListModelsResponse"
       x-oaiMeta:
         name: List models
+        group: models
         returns: A list of [model](/docs/api-reference/models/object) objects.
         examples:
           request:
@@ -1958,10 +2402,10 @@ paths:
               curl https://api.openai.com/v1/models \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.Model.list()
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.models.list()
             node.js: |-
               import OpenAI from "openai";
 
@@ -2000,12 +2444,11 @@ paths:
               ],
               "object": "list"
             }
-
   /models/{model}:
     get:
       operationId: retrieveModel
       tags:
-        - OpenAI
+        - Models
       summary: Retrieves a model instance, providing basic information about the model such as the owner and permissioning.
       parameters:
         - in: path
@@ -2025,6 +2468,7 @@ paths:
                 $ref: "#/components/schemas/Model"
       x-oaiMeta:
         name: Retrieve model
+        group: models
         returns: The [model](/docs/api-reference/models/object) object matching the specified ID.
         examples:
           request:
@@ -2032,10 +2476,10 @@ paths:
               curl https://api.openai.com/v1/models/VAR_model_id \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.Model.retrieve("VAR_model_id")
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.models.retrieve("VAR_model_id")
             node.js: |-
               import OpenAI from "openai";
 
@@ -2058,7 +2502,7 @@ paths:
     delete:
       operationId: deleteModel
       tags:
-        - OpenAI
+        - Models
       summary: Delete a fine-tuned model. You must have the Owner role in your organization to delete a model.
       parameters:
         - in: path
@@ -2076,7 +2520,8 @@ paths:
               schema:
                 $ref: "#/components/schemas/DeleteModelResponse"
       x-oaiMeta:
-        name: Delete fine-tune model
+        name: Delete a fine-tuned model
+        group: models
         returns: Deletion status.
         examples:
           request:
@@ -2085,10 +2530,10 @@ paths:
                 -X DELETE \
                 -H "Authorization: Bearer $OPENAI_API_KEY"
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.Model.delete("ft:gpt-3.5-turbo:acemeco:suffix:abc123")
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.models.delete("ft:gpt-3.5-turbo:acemeco:suffix:abc123")
             node.js: |-
               import OpenAI from "openai";
 
@@ -2111,7 +2556,7 @@ paths:
     post:
       operationId: createModeration
       tags:
-        - OpenAI
+        - Moderations
       summary: Classifies if text violates OpenAI's Content Policy
       requestBody:
         required: true
@@ -2128,6 +2573,7 @@ paths:
                 $ref: "#/components/schemas/CreateModerationResponse"
       x-oaiMeta:
         name: Create moderation
+        group: moderations
         returns: A [moderation](/docs/api-reference/moderations/object) object.
         examples:
           request:
@@ -2139,12 +2585,10 @@ paths:
                   "input": "I want to kill them."
                 }'
             python: |
-              import os
-              import openai
-              openai.api_key = os.getenv("OPENAI_API_KEY")
-              openai.Moderation.create(
-                input="I want to kill them.",
-              )
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.moderations.create(input="I want to kill them.")
             node.js: |
               import OpenAI from "openai";
 
@@ -2193,1928 +2637,6690 @@ paths:
               ]
             }
 
-components:
+  /assistants:
+    get:
+      operationId: listAssistants
+      tags:
+        - Assistants
+      summary: Returns a list of assistants.
+      parameters:
+        - name: limit
+          in: query
+          description: &pagination_limit_param_description |
+            A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: &pagination_order_param_description |
+            Sort order by the `created_at` timestamp of the objects. `asc` for ascending order and `desc` for descending order.
+          schema:
+            type: string
+            default: desc
+            enum: ["asc", "desc"]
+        - name: after
+          in: query
+          description: &pagination_after_param_description |
+            A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: &pagination_before_param_description |
+            A cursor for use in pagination. `before` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListAssistantsResponse"
+      x-oaiMeta:
+        name: List assistants
+        group: assistants
+        beta: true
+        returns: A list of [assistant](/docs/api-reference/assistants/object) objects.
+        examples:
+          request:
+            curl: |
+              curl "https://api.openai.com/v1/assistants?order=desc&limit=20" \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
 
-  securitySchemes:
-    ApiKeyAuth:
-      type: http
-      scheme: 'bearer'
+              my_assistants = client.beta.assistants.list(
+                  order="desc",
+                  limit="20",
+              )
+              print(my_assistants.data)
+            node.js: |-
+              import OpenAI from "openai";
 
-  schemas:
-    Error:
-      type: object
-      properties:
-        type:
-          type: string
-          nullable: false
-        message:
-          type: string
-          nullable: false
-        param:
-          type: string
-          nullable: true
-        code:
-          type: string
-          nullable: true
-      required:
-        - type
-        - message
-        - param
-        - code
+              const openai = new OpenAI();
 
-    ErrorResponse:
-      type: object
-      properties:
-        error:
-          $ref: "#/components/schemas/Error"
-      required:
-        - error
+              async function main() {
+                const myAssistants = await openai.beta.assistants.list({
+                  order: "desc",
+                  limit: "20",
+                });
 
-    ListModelsResponse:
-      type: object
-      properties:
-        object:
-          type: string
-        data:
-          type: array
-          items:
-            $ref: "#/components/schemas/Model"
-      required:
-        - object
-        - data
+                console.log(myAssistants.data);
+              }
 
-    DeleteModelResponse:
-      type: object
-      properties:
-        id:
-          type: string
-        object:
-          type: string
-        deleted:
-          type: boolean
-      required:
-        - id
-        - object
-        - deleted
+              main();
+          response: &list_assistants_example |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "asst_abc123",
+                  "object": "assistant",
+                  "created_at": 1698982736,
+                  "name": "Coding Tutor",
+                  "description": null,
+                  "model": "gpt-4",
+                  "instructions": "You are a helpful assistant designed to make me better at coding!",
+                  "tools": [],
+                  "file_ids": [],
+                  "metadata": {}
+                },
+                {
+                  "id": "asst_abc456",
+                  "object": "assistant",
+                  "created_at": 1698982718,
+                  "name": "My Assistant",
+                  "description": null,
+                  "model": "gpt-4",
+                  "instructions": "You are a helpful assistant designed to make me better at coding!",
+                  "tools": [],
+                  "file_ids": [],
+                  "metadata": {}
+                },
+                {
+                  "id": "asst_abc789",
+                  "object": "assistant",
+                  "created_at": 1698982643,
+                  "name": null,
+                  "description": null,
+                  "model": "gpt-4",
+                  "instructions": null,
+                  "tools": [],
+                  "file_ids": [],
+                  "metadata": {}
+                }
+              ],
+              "first_id": "asst_abc123",
+              "last_id": "asst_abc789",
+              "has_more": false
+            }
+    post:
+      operationId: createAssistant
+      tags:
+        - Assistants
+      summary: Create an assistant with a model and instructions.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateAssistantRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/AssistantObject"
+      x-oaiMeta:
+        name: Create assistant
+        group: assistants
+        beta: true
+        returns: An [assistant](/docs/api-reference/assistants/object) object.
+        examples:
+          - title: Code Interpreter
+            request:
+              curl: |
+                curl "https://api.openai.com/v1/assistants" \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "OpenAI-Beta: assistants=v1" \
+                  -d '{
+                    "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
+                    "name": "Math Tutor",
+                    "tools": [{"type": "code_interpreter"}],
+                    "model": "gpt-4"
+                  }'
 
-    CreateCompletionRequest:
-      type: object
-      properties:
-        model:
-          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
-          x-oaiTypeLabel: string
-        prompt:
-          description: &completions_prompt_description |
-            The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays.
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                my_assistant = client.beta.assistants.create(
+                    instructions="You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
+                    name="Math Tutor",
+                    tools=[{"type": "code_interpreter"}],
+                    model="gpt-4",
+                )
+                print(my_assistant)
+              node.js: |-
+                import OpenAI from "openai";
 
-            Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document.
-          default: "<|endoftext|>"
-          nullable: true
-          oneOf:
-            - type: string
-              default: ""
-              example: "This is a test."
-            - type: array
-              items:
-                type: string
-                default: ""
-                example: "This is a test."
-            - type: array
-              minItems: 1
-              items:
-                type: integer
-              example: "[1212, 318, 257, 1332, 13]"
-            - type: array
-              minItems: 1
-              items:
-                type: array
-                minItems: 1
-                items:
-                  type: integer
-              example: "[[1212, 318, 257, 1332, 13]]"
-        suffix:
-          description: The suffix that comes after a completion of inserted text.
-          default: null
-          nullable: true
-          type: string
-          example: "test."
-        max_tokens:
-          type: integer
-          minimum: 0
-          default: 16
-          example: 16
-          nullable: true
-          description: &completions_max_tokens_description |
-            The maximum number of [tokens](/tokenizer) to generate in the completion.
+                const openai = new OpenAI();
 
-            The token count of your prompt plus `max_tokens` cannot exceed the model's context length. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens.
-        temperature:
-          type: number
-          minimum: 0
-          maximum: 2
-          default: 1
-          example: 1
-          nullable: true
-          description: &completions_temperature_description |
-            What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
+                async function main() {
+                  const myAssistant = await openai.beta.assistants.create({
+                    instructions:
+                      "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
+                    name: "Math Tutor",
+                    tools: [{ type: "code_interpreter" }],
+                    model: "gpt-4",
+                  });
 
-            We generally recommend altering this or `top_p` but not both.
-        top_p:
-          type: number
-          minimum: 0
-          maximum: 1
-          default: 1
-          example: 1
-          nullable: true
-          description: &completions_top_p_description |
-            An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
+                  console.log(myAssistant);
+                }
 
-            We generally recommend altering this or `temperature` but not both.
-        n:
-          type: integer
-          minimum: 1
-          maximum: 128
-          default: 1
-          example: 1
-          nullable: true
-          description: &completions_completions_description |
-            How many completions to generate for each prompt.
+                main();
+            response: &create_assistants_example |
+              {
+                "id": "asst_abc123",
+                "object": "assistant",
+                "created_at": 1698984975,
+                "name": "Math Tutor",
+                "description": null,
+                "model": "gpt-4",
+                "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
+                "tools": [
+                  {
+                    "type": "code_interpreter"
+                  }
+                ],
+                "file_ids": [],
+                "metadata": {}
+              }
+          - title: Files
+            request:
+              curl: |
+                curl https://api.openai.com/v1/assistants \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "OpenAI-Beta: assistants=v1" \
+                  -d '{
+                    "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.",
+                    "tools": [{"type": "retrieval"}],
+                    "model": "gpt-4",
+                    "file_ids": ["file-abc123"]
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                my_assistant = client.beta.assistants.create(
+                    instructions="You are an HR bot, and you have access to files to answer employee questions about company policies.",
+                    name="HR Helper",
+                    tools=[{"type": "retrieval"}],
+                    model="gpt-4",
+                    file_ids=["file-abc123"],
+                )
+                print(my_assistant)
+              node.js: |-
+                import OpenAI from "openai";
 
-            **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`.
-        stream:
-          description: >
-            Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
-            as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb).
-          type: boolean
-          nullable: true
+                const openai = new OpenAI();
+
+                async function main() {
+                  const myAssistant = await openai.beta.assistants.create({
+                    instructions:
+                      "You are an HR bot, and you have access to files to answer employee questions about company policies.",
+                    name: "HR Helper",
+                    tools: [{ type: "retrieval" }],
+                    model: "gpt-4",
+                    file_ids: ["file-abc123"],
+                  });
+
+                  console.log(myAssistant);
+                }
+
+                main();
+            response: |
+              {
+                "id": "asst_abc123",
+                "object": "assistant",
+                "created_at": 1699009403,
+                "name": "HR Helper",
+                "description": null,
+                "model": "gpt-4",
+                "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.",
+                "tools": [
+                  {
+                    "type": "retrieval"
+                  }
+                ],
+                "file_ids": [
+                  "file-abc123"
+                ],
+                "metadata": {}
+              }
+
+  /assistants/{assistant_id}:
+    get:
+      operationId: getAssistant
+      tags:
+        - Assistants
+      summary: Retrieves an assistant.
+      parameters:
+        - in: path
+          name: assistant_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the assistant to retrieve.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/AssistantObject"
+      x-oaiMeta:
+        name: Retrieve assistant
+        group: assistants
+        beta: true
+        returns: The [assistant](/docs/api-reference/assistants/object) object matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/assistants/asst_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              my_assistant = client.beta.assistants.retrieve("asst_abc123")
+              print(my_assistant)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const myAssistant = await openai.beta.assistants.retrieve(
+                  "asst_abc123"
+                );
+
+                console.log(myAssistant);
+              }
+
+              main();
+          response: |
+            {
+              "id": "asst_abc123",
+              "object": "assistant",
+              "created_at": 1699009709,
+              "name": "HR Helper",
+              "description": null,
+              "model": "gpt-4",
+              "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.",
+              "tools": [
+                {
+                  "type": "retrieval"
+                }
+              ],
+              "file_ids": [
+                "file-abc123"
+              ],
+              "metadata": {}
+            }
+    post:
+      operationId: modifyAssistant
+      tags:
+        - Assistants
+      summary: Modifies an assistant.
+      parameters:
+        - in: path
+          name: assistant_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the assistant to modify.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ModifyAssistantRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/AssistantObject"
+      x-oaiMeta:
+        name: Modify assistant
+        group: assistants
+        beta: true
+        returns: The modified [assistant](/docs/api-reference/assistants/object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/assistants/asst_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -d '{
+                    "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
+                    "tools": [{"type": "retrieval"}],
+                    "model": "gpt-4",
+                    "file_ids": ["file-abc123", "file-abc456"]
+                  }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              my_updated_assistant = client.beta.assistants.update(
+                "asst_abc123",
+                instructions="You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
+                name="HR Helper",
+                tools=[{"type": "retrieval"}],
+                model="gpt-4",
+                file_ids=["file-abc123", "file-abc456"],
+              )
+
+              print(my_updated_assistant)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const myUpdatedAssistant = await openai.beta.assistants.update(
+                  "asst_abc123",
+                  {
+                    instructions:
+                      "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
+                    name: "HR Helper",
+                    tools: [{ type: "retrieval" }],
+                    model: "gpt-4",
+                    file_ids: [
+                      "file-abc123",
+                      "file-abc456",
+                    ],
+                  }
+                );
+
+                console.log(myUpdatedAssistant);
+              }
+
+              main();
+          response: |
+            {
+              "id": "asst_abc123",
+              "object": "assistant",
+              "created_at": 1699009709,
+              "name": "HR Helper",
+              "description": null,
+              "model": "gpt-4",
+              "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
+              "tools": [
+                {
+                  "type": "retrieval"
+                }
+              ],
+              "file_ids": [
+                "file-abc123",
+                "file-abc456"
+              ],
+              "metadata": {}
+            }
+    delete:
+      operationId: deleteAssistant
+      tags:
+        - Assistants
+      summary: Delete an assistant.
+      parameters:
+        - in: path
+          name: assistant_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the assistant to delete.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteAssistantResponse"
+      x-oaiMeta:
+        name: Delete assistant
+        group: assistants
+        beta: true
+        returns: Deletion status
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/assistants/asst_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -X DELETE
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              response = client.beta.assistants.delete("asst_abc123")
+              print(response)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const response = await openai.beta.assistants.del("asst_abc123");
+
+                console.log(response);
+              }
+              main();
+          response: |
+            {
+              "id": "asst_abc123",
+              "object": "assistant.deleted",
+              "deleted": true
+            }
+
+  /threads:
+    post:
+      operationId: createThread
+      tags:
+        - Assistants
+      summary: Create a thread.
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateThreadRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ThreadObject"
+      x-oaiMeta:
+        name: Create thread
+        group: threads
+        beta: true
+        returns: A [thread](/docs/api-reference/threads) object.
+        examples:
+          - title: Empty
+            request:
+              curl: |
+                curl https://api.openai.com/v1/threads \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "OpenAI-Beta: assistants=v1" \
+                  -d ''
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                empty_thread = client.beta.threads.create()
+                print(empty_thread)
+              node.js: |-
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const emptyThread = await openai.beta.threads.create();
+
+                  console.log(emptyThread);
+                }
+
+                main();
+            response: |
+              {
+                "id": "thread_abc123",
+                "object": "thread",
+                "created_at": 1699012949,
+                "metadata": {}
+              }
+          - title: Messages
+            request:
+              curl: |
+                curl https://api.openai.com/v1/threads \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -d '{
+                    "messages": [{
+                      "role": "user",
+                      "content": "Hello, what is AI?",
+                      "file_ids": ["file-abc123"]
+                    }, {
+                      "role": "user",
+                      "content": "How does AI work? Explain it in simple terms."
+                    }]
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                message_thread = client.beta.threads.create(
+                  messages=[
+                    {
+                      "role": "user",
+                      "content": "Hello, what is AI?",
+                      "file_ids": ["file-abc123"],
+                    },
+                    {
+                      "role": "user",
+                      "content": "How does AI work? Explain it in simple terms."
+                    },
+                  ]
+                )
+
+                print(message_thread)
+              node.js: |-
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const messageThread = await openai.beta.threads.create({
+                    messages: [
+                      {
+                        role: "user",
+                        content: "Hello, what is AI?",
+                        file_ids: ["file-abc123"],
+                      },
+                      {
+                        role: "user",
+                        content: "How does AI work? Explain it in simple terms.",
+                      },
+                    ],
+                  });
+
+                  console.log(messageThread);
+                }
+
+                main();
+            response: |
+              {
+                id: 'thread_abc123',
+                object: 'thread',
+                created_at: 1699014083,
+                metadata: {}
+              }
+
+  /threads/{thread_id}:
+    get:
+      operationId: getThread
+      tags:
+        - Assistants
+      summary: Retrieves a thread.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to retrieve.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ThreadObject"
+      x-oaiMeta:
+        name: Retrieve thread
+        group: threads
+        beta: true
+        returns: The [thread](/docs/api-reference/threads/object) object matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              my_thread = client.beta.threads.retrieve("thread_abc123")
+              print(my_thread)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const myThread = await openai.beta.threads.retrieve(
+                  "thread_abc123"
+                );
+
+                console.log(myThread);
+              }
+
+              main();
+          response: |
+            {
+              "id": "thread_abc123",
+              "object": "thread",
+              "created_at": 1699014083,
+              "metadata": {}
+            }
+    post:
+      operationId: modifyThread
+      tags:
+        - Assistants
+      summary: Modifies a thread.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to modify. Only the `metadata` can be modified.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ModifyThreadRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ThreadObject"
+      x-oaiMeta:
+        name: Modify thread
+        group: threads
+        beta: true
+        returns: The modified [thread](/docs/api-reference/threads/object) object matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -d '{
+                    "metadata": {
+                      "modified": "true",
+                      "user": "abc123"
+                    }
+                  }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              my_updated_thread = client.beta.threads.update(
+                "thread_abc123",
+                metadata={
+                  "modified": "true",
+                  "user": "abc123"
+                }
+              )
+              print(my_updated_thread)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const updatedThread = await openai.beta.threads.update(
+                  "thread_abc123",
+                  {
+                    metadata: { modified: "true", user: "abc123" },
+                  }
+                );
+
+                console.log(updatedThread);
+              }
+
+              main();
+          response: |
+            {
+              "id": "thread_abc123",
+              "object": "thread",
+              "created_at": 1699014083,
+              "metadata": {
+                "modified": "true",
+                "user": "abc123"
+              }
+            }
+    delete:
+      operationId: deleteThread
+      tags:
+        - Assistants
+      summary: Delete a thread.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to delete.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteThreadResponse"
+      x-oaiMeta:
+        name: Delete thread
+        group: threads
+        beta: true
+        returns: Deletion status
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -X DELETE
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              response = client.beta.threads.delete("thread_abc123")
+              print(response)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const response = await openai.beta.threads.del("thread_abc123");
+
+                console.log(response);
+              }
+              main();
+          response: |
+            {
+              "id": "thread_abc123",
+              "object": "thread.deleted",
+              "deleted": true
+            }
+
+  /threads/{thread_id}/messages:
+    get:
+      operationId: listMessages
+      tags:
+        - Assistants
+      summary: Returns a list of messages for a given thread.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the [thread](/docs/api-reference/threads) the messages belong to.
+        - name: limit
+          in: query
+          description: *pagination_limit_param_description
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: *pagination_order_param_description
+          schema:
+            type: string
+            default: desc
+            enum: ["asc", "desc"]
+        - name: after
+          in: query
+          description: *pagination_after_param_description
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: *pagination_before_param_description
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListMessagesResponse"
+      x-oaiMeta:
+        name: List messages
+        group: threads
+        beta: true
+        returns: A list of [message](/docs/api-reference/messages) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/messages \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              thread_messages = client.beta.threads.messages.list("thread_abc123")
+              print(thread_messages.data)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const threadMessages = await openai.beta.threads.messages.list(
+                  "thread_abc123"
+                );
+
+                console.log(threadMessages.data);
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "msg_abc123",
+                  "object": "thread.message",
+                  "created_at": 1699016383,
+                  "thread_id": "thread_abc123",
+                  "role": "user",
+                  "content": [
+                    {
+                      "type": "text",
+                      "text": {
+                        "value": "How does AI work? Explain it in simple terms.",
+                        "annotations": []
+                      }
+                    }
+                  ],
+                  "file_ids": [],
+                  "assistant_id": null,
+                  "run_id": null,
+                  "metadata": {}
+                },
+                {
+                  "id": "msg_abc456",
+                  "object": "thread.message",
+                  "created_at": 1699016383,
+                  "thread_id": "thread_abc123",
+                  "role": "user",
+                  "content": [
+                    {
+                      "type": "text",
+                      "text": {
+                        "value": "Hello, what is AI?",
+                        "annotations": []
+                      }
+                    }
+                  ],
+                  "file_ids": [
+                    "file-abc123"
+                  ],
+                  "assistant_id": null,
+                  "run_id": null,
+                  "metadata": {}
+                }
+              ],
+              "first_id": "msg_abc123",
+              "last_id": "msg_abc456",
+              "has_more": false
+            }
+    post:
+      operationId: createMessage
+      tags:
+        - Assistants
+      summary: Create a message.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the [thread](/docs/api-reference/threads) to create a message for.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateMessageRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/MessageObject"
+      x-oaiMeta:
+        name: Create message
+        group: threads
+        beta: true
+        returns: A [message](/docs/api-reference/messages/object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/messages \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -d '{
+                    "role": "user",
+                    "content": "How does AI work? Explain it in simple terms."
+                  }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              thread_message = client.beta.threads.messages.create(
+                "thread_abc123",
+                role="user",
+                content="How does AI work? Explain it in simple terms.",
+              )
+              print(thread_message)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const threadMessages = await openai.beta.threads.messages.create(
+                  "thread_abc123",
+                  { role: "user", content: "How does AI work? Explain it in simple terms." }
+                );
+
+                console.log(threadMessages);
+              }
+
+              main();
+          response: |
+            {
+              "id": "msg_abc123",
+              "object": "thread.message",
+              "created_at": 1699017614,
+              "thread_id": "thread_abc123",
+              "role": "user",
+              "content": [
+                {
+                  "type": "text",
+                  "text": {
+                    "value": "How does AI work? Explain it in simple terms.",
+                    "annotations": []
+                  }
+                }
+              ],
+              "file_ids": [],
+              "assistant_id": null,
+              "run_id": null,
+              "metadata": {}
+            }
+
+  /threads/{thread_id}/messages/{message_id}:
+    get:
+      operationId: getMessage
+      tags:
+        - Assistants
+      summary: Retrieve a message.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the [thread](/docs/api-reference/threads) to which this message belongs.
+        - in: path
+          name: message_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the message to retrieve.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/MessageObject"
+      x-oaiMeta:
+        name: Retrieve message
+        group: threads
+        beta: true
+        returns: The [message](/docs/api-reference/threads/messages/object) object matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              message = client.beta.threads.messages.retrieve(
+                message_id="msg_abc123",
+                thread_id="thread_abc123",
+              )
+              print(message)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const message = await openai.beta.threads.messages.retrieve(
+                  "thread_abc123",
+                  "msg_abc123"
+                );
+
+                console.log(message);
+              }
+
+              main();
+          response: |
+            {
+              "id": "msg_abc123",
+              "object": "thread.message",
+              "created_at": 1699017614,
+              "thread_id": "thread_abc123",
+              "role": "user",
+              "content": [
+                {
+                  "type": "text",
+                  "text": {
+                    "value": "How does AI work? Explain it in simple terms.",
+                    "annotations": []
+                  }
+                }
+              ],
+              "file_ids": [],
+              "assistant_id": null,
+              "run_id": null,
+              "metadata": {}
+            }
+    post:
+      operationId: modifyMessage
+      tags:
+        - Assistants
+      summary: Modifies a message.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to which this message belongs.
+        - in: path
+          name: message_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the message to modify.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ModifyMessageRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/MessageObject"
+      x-oaiMeta:
+        name: Modify message
+        group: threads
+        beta: true
+        returns: The modified [message](/docs/api-reference/threads/messages/object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -d '{
+                    "metadata": {
+                      "modified": "true",
+                      "user": "abc123"
+                    }
+                  }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              message = client.beta.threads.messages.update(
+                message_id="msg_abc12",
+                thread_id="thread_abc123",
+                metadata={
+                  "modified": "true",
+                  "user": "abc123",
+                },
+              )
+              print(message)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const message = await openai.beta.threads.messages.update(
+                  "thread_abc123",
+                  "msg_abc123",
+                  {
+                    metadata: {
+                      modified: "true",
+                      user: "abc123",
+                    },
+                  }
+                }'
+          response: |
+            {
+              "id": "msg_abc123",
+              "object": "thread.message",
+              "created_at": 1699017614,
+              "thread_id": "thread_abc123",
+              "role": "user",
+              "content": [
+                {
+                  "type": "text",
+                  "text": {
+                    "value": "How does AI work? Explain it in simple terms.",
+                    "annotations": []
+                  }
+                }
+              ],
+              "file_ids": [],
+              "assistant_id": null,
+              "run_id": null,
+              "metadata": {
+                "modified": "true",
+                "user": "abc123"
+              }
+            }
+
+  /threads/runs:
+    post:
+      operationId: createThreadAndRun
+      tags:
+        - Assistants
+      summary: Create a thread and run it in one request.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateThreadAndRunRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Create thread and run
+        group: threads
+        beta: true
+        returns: A [run](/docs/api-reference/runs/object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/runs \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -d '{
+                    "assistant_id": "asst_abc123",
+                    "thread": {
+                      "messages": [
+                        {"role": "user", "content": "Explain deep learning to a 5 year old."}
+                      ]
+                    }
+                  }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run = client.beta.threads.create_and_run(
+                assistant_id="asst_abc123",
+                thread={
+                  "messages": [
+                    {"role": "user", "content": "Explain deep learning to a 5 year old."}
+                  ]
+                }
+              )
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const run = await openai.beta.threads.createAndRun({
+                  assistant_id: "asst_abc123",
+                  thread: {
+                    messages: [
+                      { role: "user", content: "Explain deep learning to a 5 year old." },
+                    ],
+                  },
+                });
+
+                console.log(run);
+              }
+
+              main();
+          response: |
+            {
+              "id": "run_abc123",
+              "object": "thread.run",
+              "created_at": 1699076792,
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "status": "queued",
+              "started_at": null,
+              "expires_at": 1699077392,
+              "cancelled_at": null,
+              "failed_at": null,
+              "completed_at": null,
+              "last_error": null,
+              "model": "gpt-4",
+              "instructions": "You are a helpful assistant.",
+              "tools": [],
+              "file_ids": [],
+              "metadata": {}
+            }
+
+  /threads/{thread_id}/runs:
+    get:
+      operationId: listRuns
+      tags:
+        - Assistants
+      summary: Returns a list of runs belonging to a thread.
+      parameters:
+        - name: thread_id
+          in: path
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread the run belongs to.
+        - name: limit
+          in: query
+          description: *pagination_limit_param_description
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: *pagination_order_param_description
+          schema:
+            type: string
+            default: desc
+            enum: ["asc", "desc"]
+        - name: after
+          in: query
+          description: *pagination_after_param_description
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: *pagination_before_param_description
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListRunsResponse"
+      x-oaiMeta:
+        name: List runs
+        group: threads
+        beta: true
+        returns: A list of [run](/docs/api-reference/runs/object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/runs \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              runs = client.beta.threads.runs.list(
+                "thread_abc123"
+              )
+              print(runs)
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const runs = await openai.beta.threads.runs.list(
+                  "thread_abc123"
+                );
+
+                console.log(runs);
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "run_abc123",
+                  "object": "thread.run",
+                  "created_at": 1699075072,
+                  "assistant_id": "asst_abc123",
+                  "thread_id": "thread_abc123",
+                  "status": "completed",
+                  "started_at": 1699075072,
+                  "expires_at": null,
+                  "cancelled_at": null,
+                  "failed_at": null,
+                  "completed_at": 1699075073,
+                  "last_error": null,
+                  "model": "gpt-3.5-turbo",
+                  "instructions": null,
+                  "tools": [
+                    {
+                      "type": "code_interpreter"
+                    }
+                  ],
+                  "file_ids": [
+                    "file-abc123",
+                    "file-abc456"
+                  ],
+                  "metadata": {}
+                },
+                {
+                  "id": "run_abc456",
+                  "object": "thread.run",
+                  "created_at": 1699063290,
+                  "assistant_id": "asst_abc123",
+                  "thread_id": "thread_abc123",
+                  "status": "completed",
+                  "started_at": 1699063290,
+                  "expires_at": null,
+                  "cancelled_at": null,
+                  "failed_at": null,
+                  "completed_at": 1699063291,
+                  "last_error": null,
+                  "model": "gpt-3.5-turbo",
+                  "instructions": null,
+                  "tools": [
+                    {
+                      "type": "code_interpreter"
+                    }
+                  ],
+                  "file_ids": [
+                    "file-abc123",
+                    "file-abc456"
+                  ],
+                  "metadata": {}
+                }
+              ],
+              "first_id": "run_abc123",
+              "last_id": "run_abc456",
+              "has_more": false
+            }
+    post:
+      operationId: createRun
+      tags:
+        - Assistants
+      summary: Create a run.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to run.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateRunRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Create run
+        group: threads
+        beta: true
+        returns: A [run](/docs/api-reference/runs/object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/runs \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -d '{
+                  "assistant_id": "asst_abc123"
+                }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run = client.beta.threads.runs.create(
+                thread_id="thread_abc123",
+                assistant_id="asst_abc123"
+              )
+              print(run)
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const run = await openai.beta.threads.runs.create(
+                  "thread_abc123",
+                  { assistant_id: "asst_abc123" }
+                );
+
+                console.log(run);
+              }
+
+              main();
+          response: &run_object_example |
+            {
+              "id": "run_abc123",
+              "object": "thread.run",
+              "created_at": 1699063290,
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "status": "queued",
+              "started_at": 1699063290,
+              "expires_at": null,
+              "cancelled_at": null,
+              "failed_at": null,
+              "completed_at": 1699063291,
+              "last_error": null,
+              "model": "gpt-4",
+              "instructions": null,
+              "tools": [
+                {
+                  "type": "code_interpreter"
+                }
+              ],
+              "file_ids": [
+                "file-abc123",
+                "file-abc456"
+              ],
+              "metadata": {}
+            }
+
+  /threads/{thread_id}/runs/{run_id}:
+    get:
+      operationId: getRun
+      tags:
+        - Assistants
+      summary: Retrieves a run.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the [thread](/docs/api-reference/threads) that was run.
+        - in: path
+          name: run_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run to retrieve.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Retrieve run
+        group: threads
+        beta: true
+        returns: The [run](/docs/api-reference/runs/object) object matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run = client.beta.threads.runs.retrieve(
+                thread_id="thread_abc123",
+                run_id="run_abc123"
+              )
+              print(run)
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const run = await openai.beta.threads.runs.retrieve(
+                  "thread_abc123",
+                  "run_abc123"
+                );
+
+                console.log(run);
+              }
+
+              main();
+          response: |
+            {
+              "id": "run_abc123",
+              "object": "thread.run",
+              "created_at": 1699075072,
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "status": "completed",
+              "started_at": 1699075072,
+              "expires_at": null,
+              "cancelled_at": null,
+              "failed_at": null,
+              "completed_at": 1699075073,
+              "last_error": null,
+              "model": "gpt-3.5-turbo",
+              "instructions": null,
+              "tools": [
+                {
+                  "type": "code_interpreter"
+                }
+              ],
+              "file_ids": [
+                "file-abc123",
+                "file-abc456"
+              ],
+              "metadata": {}
+            }
+    post:
+      operationId: modifyRun
+      tags:
+        - Assistants
+      summary: Modifies a run.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the [thread](/docs/api-reference/threads) that was run.
+        - in: path
+          name: run_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run to modify.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ModifyRunRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Modify run
+        group: threads
+        beta: true
+        returns: The modified [run](/docs/api-reference/runs/object) object matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -d '{
+                  "metadata": {
+                    "user_id": "user_abc123"
+                  }
+                }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run = client.beta.threads.runs.update(
+                thread_id="thread_abc123",
+                run_id="run_abc123",
+                metadata={"user_id": "user_abc123"},
+              )
+              print(run)
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const run = await openai.beta.threads.runs.update(
+                  "thread_abc123",
+                  "run_abc123",
+                  {
+                    metadata: {
+                      user_id: "user_abc123",
+                    },
+                  }
+                );
+
+                console.log(run);
+              }
+
+              main();
+          response: |
+            {
+              "id": "run_abc123",
+              "object": "thread.run",
+              "created_at": 1699075072,
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "status": "completed",
+              "started_at": 1699075072,
+              "expires_at": null,
+              "cancelled_at": null,
+              "failed_at": null,
+              "completed_at": 1699075073,
+              "last_error": null,
+              "model": "gpt-3.5-turbo",
+              "instructions": null,
+              "tools": [
+                {
+                  "type": "code_interpreter"
+                }
+              ],
+              "file_ids": [
+                "file-abc123",
+                "file-abc456"
+              ],
+              "metadata": {
+                "user_id": "user_abc123"
+              }
+            }
+
+  /threads/{thread_id}/runs/{run_id}/submit_tool_outputs:
+    post:
+      operationId: submitToolOuputsToRun
+      tags:
+        - Assistants
+      summary: |
+        When a run has the `status: "requires_action"` and `required_action.type` is `submit_tool_outputs`, this endpoint can be used to submit the outputs from the tool calls once they're all completed. All outputs must be submitted in a single request.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the [thread](/docs/api-reference/threads) to which this run belongs.
+        - in: path
+          name: run_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run that requires the tool output submission.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/SubmitToolOutputsRunRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Submit tool outputs to run
+        group: threads
+        beta: true
+        returns: The modified [run](/docs/api-reference/runs/object) object matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/submit_tool_outputs \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -d '{
+                  "tool_outputs": [
+                    {
+                      "tool_call_id": "call_abc123",
+                      "output": "28C"
+                    }
+                  ]
+                }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run = client.beta.threads.runs.submit_tool_outputs(
+                thread_id="thread_abc123",
+                run_id="run_abc123",
+                tool_outputs=[
+                  {
+                    "tool_call_id": "call_abc123",
+                    "output": "28C"
+                  }
+                ]
+              )
+              print(run)
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const run = await openai.beta.threads.runs.submitToolOutputs(
+                  "thread_abc123",
+                  "run_abc123",
+                  {
+                    tool_outputs: [
+                      {
+                        tool_call_id: "call_abc123",
+                        output: "28C",
+                      },
+                    ],
+                  }
+                );
+
+                console.log(run);
+              }
+
+              main();
+          response: |
+            {
+              "id": "run_abc123",
+              "object": "thread.run",
+              "created_at": 1699075592,
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "status": "queued",
+              "started_at": 1699075592,
+              "expires_at": 1699076192,
+              "cancelled_at": null,
+              "failed_at": null,
+              "completed_at": null,
+              "last_error": null,
+              "model": "gpt-4",
+              "instructions": "You tell the weather.",
+              "tools": [
+                {
+                  "type": "function",
+                  "function": {
+                    "name": "get_weather",
+                    "description": "Determine weather in my location",
+                    "parameters": {
+                      "type": "object",
+                      "properties": {
+                        "location": {
+                          "type": "string",
+                          "description": "The city and state e.g. San Francisco, CA"
+                        },
+                        "unit": {
+                          "type": "string",
+                          "enum": [
+                            "c",
+                            "f"
+                          ]
+                        }
+                      },
+                      "required": [
+                        "location"
+                      ]
+                    }
+                  }
+                }
+              ],
+              "file_ids": [],
+              "metadata": {}
+            }
+
+  /threads/{thread_id}/runs/{run_id}/cancel:
+    post:
+      operationId: cancelRun
+      tags:
+        - Assistants
+      summary: Cancels a run that is `in_progress`.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to which this run belongs.
+        - in: path
+          name: run_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run to cancel.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Cancel a run
+        group: threads
+        beta: true
+        returns: The modified [run](/docs/api-reference/runs/object) object matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/cancel \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -X POST
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run = client.beta.threads.runs.cancel(
+                thread_id="thread_abc123",
+                run_id="run_abc123"
+              )
+              print(run)
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const run = await openai.beta.threads.runs.cancel(
+                  "thread_abc123",
+                  "run_abc123"
+                );
+
+                console.log(run);
+              }
+
+              main();
+          response: |
+            {
+              "id": "run_abc123",
+              "object": "thread.run",
+              "created_at": 1699076126,
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "status": "cancelling",
+              "started_at": 1699076126,
+              "expires_at": 1699076726,
+              "cancelled_at": null,
+              "failed_at": null,
+              "completed_at": null,
+              "last_error": null,
+              "model": "gpt-4",
+              "instructions": "You summarize books.",
+              "tools": [
+                {
+                  "type": "retrieval"
+                }
+              ],
+              "file_ids": [],
+              "metadata": {}
+            }
+
+  /threads/{thread_id}/runs/{run_id}/steps:
+    get:
+      operationId: listRunSteps
+      tags:
+        - Assistants
+      summary: Returns a list of run steps belonging to a run.
+      parameters:
+        - name: thread_id
+          in: path
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread the run and run steps belong to.
+        - name: run_id
+          in: path
+          required: true
+          schema:
+            type: string
+          description: The ID of the run the run steps belong to.
+        - name: limit
+          in: query
+          description: *pagination_limit_param_description
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: *pagination_order_param_description
+          schema:
+            type: string
+            default: desc
+            enum: ["asc", "desc"]
+        - name: after
+          in: query
+          description: *pagination_after_param_description
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: *pagination_before_param_description
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListRunStepsResponse"
+      x-oaiMeta:
+        name: List run steps
+        group: threads
+        beta: true
+        returns: A list of [run step](/docs/api-reference/runs/step-object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/steps \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run_steps = client.beta.threads.runs.steps.list(
+                  thread_id="thread_abc123",
+                  run_id="run_abc123"
+              )
+              print(run_steps)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const runStep = await openai.beta.threads.runs.steps.list(
+                  "thread_abc123",
+                  "run_abc123"
+                );
+                console.log(runStep);
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "step_abc123",
+                  "object": "thread.run.step",
+                  "created_at": 1699063291,
+                  "run_id": "run_abc123",
+                  "assistant_id": "asst_abc123",
+                  "thread_id": "thread_abc123",
+                  "type": "message_creation",
+                  "status": "completed",
+                  "cancelled_at": null,
+                  "completed_at": 1699063291,
+                  "expired_at": null,
+                  "failed_at": null,
+                  "last_error": null,
+                  "step_details": {
+                    "type": "message_creation",
+                    "message_creation": {
+                      "message_id": "msg_abc123"
+                    }
+                  }
+                }
+              ],
+              "first_id": "step_abc123",
+              "last_id": "step_abc456",
+              "has_more": false
+            }
+
+  /threads/{thread_id}/runs/{run_id}/steps/{step_id}:
+    get:
+      operationId: getRunStep
+      tags:
+        - Assistants
+      summary: Retrieves a run step.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to which the run and run step belongs.
+        - in: path
+          name: run_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run to which the run step belongs.
+        - in: path
+          name: step_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run step to retrieve.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunStepObject"
+      x-oaiMeta:
+        name: Retrieve run step
+        group: threads
+        beta: true
+        returns: The [run step](/docs/api-reference/runs/step-object) object matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/steps/step_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run_step = client.beta.threads.runs.steps.retrieve(
+                  thread_id="thread_abc123",
+                  run_id="run_abc123",
+                  step_id="step_abc123"
+              )
+              print(run_step)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const runStep = await openai.beta.threads.runs.steps.retrieve(
+                  "thread_abc123",
+                  "run_abc123",
+                  "step_abc123"
+                );
+                console.log(runStep);
+              }
+
+              main();
+          response: &run_step_object_example |
+            {
+              "id": "step_abc123",
+              "object": "thread.run.step",
+              "created_at": 1699063291,
+              "run_id": "run_abc123",
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "type": "message_creation",
+              "status": "completed",
+              "cancelled_at": null,
+              "completed_at": 1699063291,
+              "expired_at": null,
+              "failed_at": null,
+              "last_error": null,
+              "step_details": {
+                "type": "message_creation",
+                "message_creation": {
+                  "message_id": "msg_abc123"
+                }
+              }
+            }
+
+  /assistants/{assistant_id}/files:
+    get:
+      operationId: listAssistantFiles
+      tags:
+        - Assistants
+      summary: Returns a list of assistant files.
+      parameters:
+        - name: assistant_id
+          in: path
+          description: The ID of the assistant the file belongs to.
+          required: true
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: *pagination_limit_param_description
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: *pagination_order_param_description
+          schema:
+            type: string
+            default: desc
+            enum: ["asc", "desc"]
+        - name: after
+          in: query
+          description: *pagination_after_param_description
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: *pagination_before_param_description
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListAssistantFilesResponse"
+      x-oaiMeta:
+        name: List assistant files
+        group: assistants
+        beta: true
+        returns: A list of [assistant file](/docs/api-reference/assistants/file-object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/assistants/asst_abc123/files \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              assistant_files = client.beta.assistants.files.list(
+                assistant_id="asst_abc123"
+              )
+              print(assistant_files)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const assistantFiles = await openai.beta.assistants.files.list(
+                  "asst_abc123"
+                );
+                console.log(assistantFiles);
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "file-abc123",
+                  "object": "assistant.file",
+                  "created_at": 1699060412,
+                  "assistant_id": "asst_abc123"
+                },
+                {
+                  "id": "file-abc456",
+                  "object": "assistant.file",
+                  "created_at": 1699060412,
+                  "assistant_id": "asst_abc123"
+                }
+              ],
+              "first_id": "file-abc123",
+              "last_id": "file-abc456",
+              "has_more": false
+            }
+    post:
+      operationId: createAssistantFile
+      tags:
+        - Assistants
+      summary: Create an assistant file by attaching a [File](/docs/api-reference/files) to an [assistant](/docs/api-reference/assistants).
+      parameters:
+        - in: path
+          name: assistant_id
+          required: true
+          schema:
+            type: string
+            example: file-abc123
+          description: |
+            The ID of the assistant for which to create a File.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateAssistantFileRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/AssistantFileObject"
+      x-oaiMeta:
+        name: Create assistant file
+        group: assistants
+        beta: true
+        returns: An [assistant file](/docs/api-reference/assistants/file-object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/assistants/asst_abc123/files \
+                  -H 'Authorization: Bearer $OPENAI_API_KEY"' \
+                  -H 'Content-Type: application/json' \
+                  -H 'OpenAI-Beta: assistants=v1' \
+                  -d '{
+                    "file_id": "file-abc123"
+                  }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              assistant_file = client.beta.assistants.files.create(
+                assistant_id="asst_abc123",
+                file_id="file-abc123"
+              )
+              print(assistant_file)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const myAssistantFile = await openai.beta.assistants.files.create(
+                  "asst_abc123",
+                  {
+                    file_id: "file-abc123"
+                  }
+                );
+                console.log(myAssistantFile);
+              }
+
+              main();
+          response: &assistant_file_object |
+            {
+              "id": "file-abc123",
+              "object": "assistant.file",
+              "created_at": 1699055364,
+              "assistant_id": "asst_abc123"
+            }
+
+  /assistants/{assistant_id}/files/{file_id}:
+    get:
+      operationId: getAssistantFile
+      tags:
+        - Assistants
+      summary: Retrieves an AssistantFile.
+      parameters:
+        - in: path
+          name: assistant_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the assistant who the file belongs to.
+        - in: path
+          name: file_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the file we're getting.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/AssistantFileObject"
+      x-oaiMeta:
+        name: Retrieve assistant file
+        group: assistants
+        beta: true
+        returns: The [assistant file](/docs/api-reference/assistants/file-object) object matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/assistants/asst_abc123/files/file-abc123 \
+                -H 'Authorization: Bearer $OPENAI_API_KEY"' \
+                -H 'Content-Type: application/json' \
+                -H 'OpenAI-Beta: assistants=v1'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              assistant_file = client.beta.assistants.files.retrieve(
+                assistant_id="asst_abc123",
+                file_id="file-abc123"
+              )
+              print(assistant_file)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const myAssistantFile = await openai.beta.assistants.files.retrieve(
+                  "asst_abc123",
+                  "file-abc123"
+                );
+                console.log(myAssistantFile);
+              }
+
+              main();
+          response: *assistant_file_object
+    delete:
+      operationId: deleteAssistantFile
+      tags:
+        - Assistants
+      summary: Delete an assistant file.
+      parameters:
+        - in: path
+          name: assistant_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the assistant that the file belongs to.
+        - in: path
+          name: file_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the file to delete.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteAssistantFileResponse"
+      x-oaiMeta:
+        name: Delete assistant file
+        group: assistants
+        beta: true
+        returns: Deletion status
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/assistants/asst_abc123/files/file-abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1" \
+                -X DELETE
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              deleted_assistant_file = client.beta.assistants.files.delete(
+                  assistant_id="asst_abc123",
+                  file_id="file-abc123"
+              )
+              print(deleted_assistant_file)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const deletedAssistantFile = await openai.beta.assistants.files.del(
+                  "asst_abc123",
+                  "file-abc123"
+                );
+                console.log(deletedAssistantFile);
+              }
+
+              main();
+          response: |
+            {
+              id: "file-abc123",
+              object: "assistant.file.deleted",
+              deleted: true
+            }
+
+  /threads/{thread_id}/messages/{message_id}/files:
+    get:
+      operationId: listMessageFiles
+      tags:
+        - Assistants
+      summary: Returns a list of message files.
+      parameters:
+        - name: thread_id
+          in: path
+          description: The ID of the thread that the message and files belong to.
+          required: true
+          schema:
+            type: string
+        - name: message_id
+          in: path
+          description: The ID of the message that the files belongs to.
+          required: true
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: *pagination_limit_param_description
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: *pagination_order_param_description
+          schema:
+            type: string
+            default: desc
+            enum: ["asc", "desc"]
+        - name: after
+          in: query
+          description: *pagination_after_param_description
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: *pagination_before_param_description
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListMessageFilesResponse"
+      x-oaiMeta:
+        name: List message files
+        group: threads
+        beta: true
+        returns: A list of [message file](/docs/api-reference/messages/file-object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123/files \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              message_files = client.beta.threads.messages.files.list(
+                thread_id="thread_abc123",
+                message_id="msg_abc123"
+              )
+              print(message_files)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const messageFiles = await openai.beta.threads.messages.files.list(
+                  "thread_abc123",
+                  "msg_abc123"
+                );
+                console.log(messageFiles);
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "file-abc123",
+                  "object": "thread.message.file",
+                  "created_at": 1699061776,
+                  "message_id": "msg_abc123"
+                },
+                {
+                  "id": "file-abc123",
+                  "object": "thread.message.file",
+                  "created_at": 1699061776,
+                  "message_id": "msg_abc123"
+                }
+              ],
+              "first_id": "file-abc123",
+              "last_id": "file-abc123",
+              "has_more": false
+            }
+
+  /threads/{thread_id}/messages/{message_id}/files/{file_id}:
+    get:
+      operationId: getMessageFile
+      tags:
+        - Assistants
+      summary: Retrieves a message file.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+            example: thread_abc123
+          description: The ID of the thread to which the message and File belong.
+        - in: path
+          name: message_id
+          required: true
+          schema:
+            type: string
+            example: msg_abc123
+          description: The ID of the message the file belongs to.
+        - in: path
+          name: file_id
+          required: true
+          schema:
+            type: string
+            example: file-abc123
+          description: The ID of the file being retrieved.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/MessageFileObject"
+      x-oaiMeta:
+        name: Retrieve message file
+        group: threads
+        beta: true
+        returns: The [message file](/docs/api-reference/messages/file-object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123/files/file-abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              message_files = client.beta.threads.messages.files.retrieve(
+                  thread_id="thread_abc123",
+                  message_id="msg_abc123",
+                  file_id="file-abc123"
+              )
+              print(message_files)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const messageFile = await openai.beta.threads.messages.files.retrieve(
+                  "thread_abc123",
+                  "msg_abc123",
+                  "file-abc123"
+                );
+                console.log(messageFile);
+              }
+
+              main();
+          response: |
+            {
+              "id": "file-abc123",
+              "object": "thread.message.file",
+              "created_at": 1699061776,
+              "message_id": "msg_abc123"
+            }
+
+components:
+  securitySchemes:
+    ApiKeyAuth:
+      type: http
+      scheme: "bearer"
+
+  schemas:
+    Error:
+      type: object
+      properties:
+        code:
+          type: string
+          nullable: true
+        message:
+          type: string
+          nullable: false
+        param:
+          type: string
+          nullable: true
+        type:
+          type: string
+          nullable: false
+      required:
+        - type
+        - message
+        - param
+        - code
+    ErrorResponse:
+      type: object
+      properties:
+        error:
+          $ref: "#/components/schemas/Error"
+      required:
+        - error
+
+    ListModelsResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum: [list]
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/Model"
+      required:
+        - object
+        - data
+    DeleteModelResponse:
+      type: object
+      properties:
+        id:
+          type: string
+        deleted:
+          type: boolean
+        object:
+          type: string
+      required:
+        - id
+        - object
+        - deleted
+
+    CreateCompletionRequest:
+      type: object
+      properties:
+        model:
+          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.
+          anyOf:
+            - type: string
+            - type: string
+              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 |
+            The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays.
+
+            Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document.
+          default: "<|endoftext|>"
+          nullable: true
+          oneOf:
+            - type: string
+              default: ""
+              example: "This is a test."
+            - type: array
+              items:
+                type: string
+                default: ""
+                example: "This is a test."
+            - type: array
+              minItems: 1
+              items:
+                type: integer
+              example: "[1212, 318, 257, 1332, 13]"
+            - type: array
+              minItems: 1
+              items:
+                type: array
+                minItems: 1
+                items:
+                  type: integer
+              example: "[[1212, 318, 257, 1332, 13]]"
+        best_of:
+          type: integer
+          default: 1
+          minimum: 0
+          maximum: 20
+          nullable: true
+          description: &completions_best_of_description |
+            Generates `best_of` completions server-side and returns the "best" (the one with the highest log probability per token). Results cannot be streamed.
+
+            When used with `n`, `best_of` controls the number of candidate completions and `n` specifies how many to return – `best_of` must be greater than `n`.
+
+            **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`.
+        echo:
+          type: boolean
+          default: false
+          nullable: true
+          description: &completions_echo_description >
+            Echo back the prompt in addition to the completion
+        frequency_penalty:
+          type: number
+          default: 0
+          minimum: -2
+          maximum: 2
+          nullable: true
+          description: &completions_frequency_penalty_description |
+            Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
+
+            [See more information about frequency and presence penalties.](/docs/guides/text-generation/parameter-details)
+        logit_bias: &completions_logit_bias
+          type: object
+          x-oaiTypeLabel: map
+          default: null
+          nullable: true
+          additionalProperties:
+            type: integer
+          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](/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.
+
+            As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated.
+        logprobs: &completions_logprobs_configuration
+          type: integer
+          minimum: 0
+          maximum: 5
+          default: null
+          nullable: true
+          description: &completions_logprobs_description |
+            Include the log probabilities on the `logprobs` most likely output tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response.
+
+            The maximum value for `logprobs` is 5.
+        max_tokens:
+          type: integer
+          minimum: 0
+          default: 16
+          example: 16
+          nullable: true
+          description: &completions_max_tokens_description |
+            The maximum number of [tokens](/tokenizer) that can be generated in the completion.
+
+            The token count of your prompt plus `max_tokens` cannot exceed the model's context length. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.
+        n:
+          type: integer
+          minimum: 1
+          maximum: 128
+          default: 1
+          example: 1
+          nullable: true
+          description: &completions_completions_description |
+            How many completions to generate for each prompt.
+
+            **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`.
+        presence_penalty:
+          type: number
+          default: 0
+          minimum: -2
+          maximum: 2
+          nullable: true
+          description: &completions_presence_penalty_description |
+            Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
+
+            [See more information about frequency and presence penalties.](/docs/guides/text-generation/parameter-details)
+        seed: &completions_seed_param
+          type: integer
+          minimum: -9223372036854775808
+          maximum: 9223372036854775807
+          nullable: true
+          description: |
+            If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result.
+
+            Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend.
+        stop:
+          description: &completions_stop_description >
+            Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
+          default: null
+          nullable: true
+          oneOf:
+            - type: string
+              default: <|endoftext|>
+              example: "\n"
+              nullable: true
+            - type: array
+              minItems: 1
+              maxItems: 4
+              items:
+                type: string
+                example: '["\n"]'
+        stream:
+          description: >
+            Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
+            as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
+          type: boolean
+          nullable: true
+          default: false
+        suffix:
+          description: The suffix that comes after a completion of inserted text.
+          default: null
+          nullable: true
+          type: string
+          example: "test."
+        temperature:
+          type: number
+          minimum: 0
+          maximum: 2
+          default: 1
+          example: 1
+          nullable: true
+          description: &completions_temperature_description |
+            What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
+
+            We generally recommend altering this or `top_p` but not both.
+        top_p:
+          type: number
+          minimum: 0
+          maximum: 1
+          default: 1
+          example: 1
+          nullable: true
+          description: &completions_top_p_description |
+            An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
+
+            We generally recommend altering this or `temperature` but not both.
+        user: &end_user_param_configuration
+          type: string
+          example: user-1234
+          description: |
+            A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
+      required:
+        - model
+        - prompt
+
+    CreateCompletionResponse:
+      type: object
+      description: |
+        Represents a completion response from the API. Note: both the streamed and non-streamed response objects share the same shape (unlike the chat endpoint).
+      properties:
+        id:
+          type: string
+          description: A unique identifier for the completion.
+        choices:
+          type: array
+          description: The list of completion choices the model generated for the input prompt.
+          items:
+            type: object
+            required:
+              - finish_reason
+              - index
+              - logprobs
+              - text
+            properties:
+              finish_reason:
+                type: string
+                description: &completion_finish_reason_description |
+                  The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence,
+                  `length` if the maximum number of tokens specified in the request was reached,
+                  or `content_filter` if content was omitted due to a flag from our content filters.
+                enum: ["stop", "length", "content_filter"]
+              index:
+                type: integer
+              logprobs:
+                type: object
+                nullable: true
+                properties:
+                  text_offset:
+                    type: array
+                    items:
+                      type: integer
+                  token_logprobs:
+                    type: array
+                    items:
+                      type: number
+                  tokens:
+                    type: array
+                    items:
+                      type: string
+                  top_logprobs:
+                    type: array
+                    items:
+                      type: object
+                      additionalProperties:
+                        type: number
+              text:
+                type: string
+        created:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the completion was created.
+        model:
+          type: string
+          description: The model used for completion.
+        system_fingerprint:
+          type: string
+          description: |
+            This fingerprint represents the backend configuration that the model runs with.
+
+            Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism.
+        object:
+          type: string
+          description: The object type, which is always "text_completion"
+          enum: [text_completion]
+        usage:
+          $ref: "#/components/schemas/CompletionUsage"
+      required:
+        - id
+        - object
+        - created
+        - model
+        - choices
+      x-oaiMeta:
+        name: The completion object
+        legacy: true
+        example: |
+          {
+            "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7",
+            "object": "text_completion",
+            "created": 1589478378,
+            "model": "gpt-3.5-turbo",
+            "choices": [
+              {
+                "text": "\n\nThis is indeed a test",
+                "index": 0,
+                "logprobs": null,
+                "finish_reason": "length"
+              }
+            ],
+            "usage": {
+              "prompt_tokens": 5,
+              "completion_tokens": 7,
+              "total_tokens": 12
+            }
+          }
+
+    ChatCompletionRequestMessageContentPart:
+      oneOf:
+        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
+        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartImage"
+      x-oaiExpandable: true
+
+    ChatCompletionRequestMessageContentPartImage:
+      type: object
+      title: Image content part
+      properties:
+        type:
+          type: string
+          enum: ["image_url"]
+          description: The type of the content part.
+        image_url:
+          type: object
+          properties:
+            url:
+              type: string
+              description: Either a URL of the image or the base64 encoded image data.
+              format: uri
+            detail:
+              type: string
+              description: Specifies the detail level of the image. Learn more in the [Vision guide](/docs/guides/vision/low-or-high-fidelity-image-understanding).
+              enum: ["auto", "low", "high"]
+              default: "auto"
+          required:
+            - url
+      required:
+        - type
+        - image_url
+
+    ChatCompletionRequestMessageContentPartText:
+      type: object
+      title: Text content part
+      properties:
+        type:
+          type: string
+          enum: ["text"]
+          description: The type of the content part.
+        text:
+          type: string
+          description: The text content.
+      required:
+        - type
+        - text
+
+    ChatCompletionRequestMessage:
+      oneOf:
+        - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage"
+        - $ref: "#/components/schemas/ChatCompletionRequestUserMessage"
+        - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage"
+        - $ref: "#/components/schemas/ChatCompletionRequestToolMessage"
+        - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage"
+      x-oaiExpandable: true
+
+    ChatCompletionRequestSystemMessage:
+      type: object
+      title: System message
+      properties:
+        content:
+          description: The contents of the system message.
+          type: string
+        role:
+          type: string
+          enum: ["system"]
+          description: The role of the messages author, in this case `system`.
+        name:
+          type: string
+          description: An optional name for the participant. Provides the model information to differentiate between participants of the same role.
+      required:
+        - content
+        - role
+
+    ChatCompletionRequestUserMessage:
+      type: object
+      title: User message
+      properties:
+        content:
+          description: |
+            The contents of the user message.
+          oneOf:
+            - type: string
+              description: The text contents of the message.
+              title: Text content
+            - 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-visual-preview` model.
+              title: Array of content parts
+              items:
+                $ref: "#/components/schemas/ChatCompletionRequestMessageContentPart"
+              minItems: 1
+          x-oaiExpandable: true
+        role:
+          type: string
+          enum: ["user"]
+          description: The role of the messages author, in this case `user`.
+        name:
+          type: string
+          description: An optional name for the participant. Provides the model information to differentiate between participants of the same role.
+      required:
+        - content
+        - role
+
+    ChatCompletionRequestAssistantMessage:
+      type: object
+      title: Assistant message
+      properties:
+        content:
+          nullable: true
+          type: string
+          description: |
+            The contents of the assistant message. Required unless `tool_calls` or `function_call` is specified.
+        role:
+          type: string
+          enum: ["assistant"]
+          description: The role of the messages author, in this case `assistant`.
+        name:
+          type: string
+          description: An optional name for the participant. Provides the model information to differentiate between participants of the same role.
+        tool_calls:
+          $ref: "#/components/schemas/ChatCompletionMessageToolCalls"
+        function_call:
+          type: object
+          deprecated: true
+          description: "Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model."
+          properties:
+            arguments:
+              type: string
+              description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
+            name:
+              type: string
+              description: The name of the function to call.
+          required:
+            - arguments
+            - name
+      required:
+        - role
+
+    ChatCompletionRequestToolMessage:
+      type: object
+      title: Tool message
+      properties:
+        role:
+          type: string
+          enum: ["tool"]
+          description: The role of the messages author, in this case `tool`.
+        content:
+          type: string
+          description: The contents of the tool message.
+        tool_call_id:
+          type: string
+          description: Tool call that this message is responding to.
+      required:
+        - role
+        - content
+        - tool_call_id
+
+    ChatCompletionRequestFunctionMessage:
+      type: object
+      title: Function message
+      deprecated: true
+      properties:
+        role:
+          type: string
+          enum: ["function"]
+          description: The role of the messages author, in this case `function`.
+        content:
+          nullable: true
+          type: string
+          description: The contents of the function message.
+        name:
+          type: string
+          description: The name of the function to call.
+      required:
+        - role
+        - content
+        - name
+
+    FunctionParameters:
+      type: object
+      description: "The parameters the functions accepts, described as a JSON Schema object. See the [guide](/docs/guides/text-generation/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. \n\nOmitting `parameters` defines a function with an empty parameter list."
+      additionalProperties: true
+
+    ChatCompletionFunctions:
+      type: object
+      deprecated: true
+      properties:
+        description:
+          type: string
+          description: A description of what the function does, used by the model to choose when and how to call the function.
+        name:
+          type: string
+          description: The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.
+        parameters:
+          $ref: "#/components/schemas/FunctionParameters"
+      required:
+        - name
+
+    ChatCompletionFunctionCallOption:
+      type: object
+      description: >
+        Specifying a particular function via `{"name": "my_function"}` forces the model to call that function.
+      properties:
+        name:
+          type: string
+          description: The name of the function to call.
+      required:
+        - name
+
+    ChatCompletionTool:
+      type: object
+      properties:
+        type:
+          type: string
+          enum: ["function"]
+          description: The type of the tool. Currently, only `function` is supported.
+        function:
+          $ref: "#/components/schemas/FunctionObject"
+      required:
+        - type
+        - function
+
+    FunctionObject:
+      type: object
+      properties:
+        description:
+          type: string
+          description: A description of what the function does, used by the model to choose when and how to call the function.
+        name:
+          type: string
+          description: The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.
+        parameters:
+          $ref: "#/components/schemas/FunctionParameters"
+      required:
+        - name
+
+    ChatCompletionToolChoiceOption:
+      description: |
+        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.
+
+        `none` is the default when no functions are present. `auto` is the default if functions are present.
+      oneOf:
+        - type: string
+          description: >
+            `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.
+          enum: [none, auto]
+        - $ref: "#/components/schemas/ChatCompletionNamedToolChoice"
+      x-oaiExpandable: true
+
+    ChatCompletionNamedToolChoice:
+      type: object
+      description: Specifies a tool the model should use. Use to force the model to call a specific function.
+      properties:
+        type:
+          type: string
+          enum: ["function"]
+          description: The type of the tool. Currently, only `function` is supported.
+        function:
+          type: object
+          properties:
+            name:
+              type: string
+              description: The name of the function to call.
+          required:
+            - name
+      required:
+        - type
+        - function
+
+    ChatCompletionMessageToolCalls:
+      type: array
+      description: The tool calls generated by the model, such as function calls.
+      items:
+        $ref: "#/components/schemas/ChatCompletionMessageToolCall"
+
+    ChatCompletionMessageToolCall:
+      type: object
+      properties:
+        # TODO: index included when streaming
+        id:
+          type: string
+          description: The ID of the tool call.
+        type:
+          type: string
+          enum: ["function"]
+          description: The type of the tool. Currently, only `function` is supported.
+        function:
+          type: object
+          description: The function that the model called.
+          properties:
+            name:
+              type: string
+              description: The name of the function to call.
+            arguments:
+              type: string
+              description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
+          required:
+            - name
+            - arguments
+      required:
+        - id
+        - type
+        - function
+
+    ChatCompletionMessageToolCallChunk:
+      type: object
+      properties:
+        index:
+          type: integer
+        id:
+          type: string
+          description: The ID of the tool call.
+        type:
+          type: string
+          enum: ["function"]
+          description: The type of the tool. Currently, only `function` is supported.
+        function:
+          type: object
+          properties:
+            name:
+              type: string
+              description: The name of the function to call.
+            arguments:
+              type: string
+              description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
+      required:
+        - index
+
+    # Note, this isn't referenced anywhere, but is kept as a convenience to record all possible roles in one place.
+    ChatCompletionRole:
+      type: string
+      description: The role of the author of a message
+      enum:
+        - system
+        - user
+        - assistant
+        - tool
+        - function
+
+    ChatCompletionResponseMessage:
+      type: object
+      description: A chat completion message generated by the model.
+      properties:
+        content:
+          type: string
+          description: The contents of the message.
+          nullable: true
+        tool_calls:
+          $ref: "#/components/schemas/ChatCompletionMessageToolCalls"
+        role:
+          type: string
+          enum: ["assistant"]
+          description: The role of the author of this message.
+        function_call:
+          type: object
+          deprecated: true
+          description: "Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model."
+          properties:
+            arguments:
+              type: string
+              description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
+            name:
+              type: string
+              description: The name of the function to call.
+          required:
+            - name
+            - arguments
+      required:
+        - role
+        - content
+
+    ChatCompletionStreamResponseDelta:
+      type: object
+      description: A chat completion delta generated by streamed model responses.
+      properties:
+        content:
+          type: string
+          description: The contents of the chunk message.
+          nullable: true
+        function_call:
+          deprecated: true
+          type: object
+          description: "Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model."
+          properties:
+            arguments:
+              type: string
+              description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
+            name:
+              type: string
+              description: The name of the function to call.
+        tool_calls:
+          type: array
+          items:
+            $ref: "#/components/schemas/ChatCompletionMessageToolCallChunk"
+        role:
+          type: string
+          enum: ["system", "user", "assistant", "tool"]
+          description: The role of the author of this message.
+
+    CreateChatCompletionRequest:
+      type: object
+      properties:
+        messages:
+          description: A list of messages comprising the conversation so far. [Example Python code](https://cookbook.openai.com/examples/how_to_format_inputs_to_chatgpt_models).
+          type: array
+          minItems: 1
+          items:
+            $ref: "#/components/schemas/ChatCompletionRequestMessage"
+        model:
+          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"
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                [
+                  "gpt-4-1106-preview",
+                  "gpt-4-vision-preview",
+                  "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-1106",
+                  "gpt-3.5-turbo-16k-0613",
+                ]
+          x-oaiTypeLabel: string
+        frequency_penalty:
+          type: number
+          default: 0
+          minimum: -2
+          maximum: 2
+          nullable: true
+          description: *completions_frequency_penalty_description
+        logit_bias:
+          type: object
+          x-oaiTypeLabel: map
+          default: null
+          nullable: true
+          additionalProperties:
+            type: integer
+          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 tokenizer) to an associated bias value from -100 to 100. 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.
+        logprobs:
+          description: Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`. This option is currently not available on the `gpt-4-vision-preview` model.
+          type: boolean
           default: false
-        logprobs: &completions_logprobs_configuration
+          nullable: true
+        top_logprobs:
+          description: An integer between 0 and 5 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used.
           type: integer
           minimum: 0
           maximum: 5
+          nullable: true
+        max_tokens:
+          description: |
+            The maximum number of [tokens](/tokenizer) that can be generated in the chat completion.
+
+            The total length of input tokens and generated tokens is limited by the model's context length. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.
+          type: integer
+          nullable: true
+        n:
+          type: integer
+          minimum: 1
+          maximum: 128
+          default: 1
+          example: 1
+          nullable: true
+          description: How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep `n` as `1` to minimize costs.
+        presence_penalty:
+          type: number
+          default: 0
+          minimum: -2
+          maximum: 2
+          nullable: true
+          description: *completions_presence_penalty_description
+        response_format:
+          type: object
+          description: |
+            An object specifying the format that the model must output. Compatible with `gpt-4-1106-preview` and `gpt-3.5-turbo-1106`.
+
+            Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON.
+
+            **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.
+          properties:
+            type:
+              type: string
+              enum: ["text", "json_object"]
+              example: "json_object"
+              default: "text"
+              description: Must be one of `text` or `json_object`.
+        seed:
+          type: integer
+          minimum: -9223372036854775808
+          maximum: 9223372036854775807
+          nullable: true
+          description: |
+            This feature is in Beta.
+            If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result.
+            Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend.
+          x-oaiMeta:
+            beta: true
+        stop:
+          description: |
+            Up to 4 sequences where the API will stop generating further tokens.
           default: null
+          oneOf:
+            - type: string
+              nullable: true
+            - type: array
+              minItems: 1
+              maxItems: 4
+              items:
+                type: string
+        stream:
+          description: >
+            If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
+            as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
+          type: boolean
+          nullable: true
+          default: false
+        temperature:
+          type: number
+          minimum: 0
+          maximum: 2
+          default: 1
+          example: 1
+          nullable: true
+          description: *completions_temperature_description
+        top_p:
+          type: number
+          minimum: 0
+          maximum: 1
+          default: 1
+          example: 1
+          nullable: true
+          description: *completions_top_p_description
+        tools:
+          type: array
+          description: >
+            A list of tools the model may call. Currently, only functions are supported as a tool.
+            Use this to provide a list of functions the model may generate JSON inputs for.
+          items:
+            $ref: "#/components/schemas/ChatCompletionTool"
+        tool_choice:
+          $ref: "#/components/schemas/ChatCompletionToolChoiceOption"
+        user: *end_user_param_configuration
+        function_call:
+          deprecated: true
+          description: |
+            Deprecated in favor of `tool_choice`.
+
+            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 `{"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:
+            - type: string
+              description: >
+                `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.
+              enum: [none, auto]
+            - $ref: "#/components/schemas/ChatCompletionFunctionCallOption"
+          x-oaiExpandable: true
+        functions:
+          deprecated: true
+          description: |
+            Deprecated in favor of `tools`.
+
+            A list of functions the model may generate JSON inputs for.
+          type: array
+          minItems: 1
+          maxItems: 128
+          items:
+            $ref: "#/components/schemas/ChatCompletionFunctions"
+
+      required:
+        - model
+        - messages
+
+    CreateChatCompletionResponse:
+      type: object
+      description: Represents a chat completion response returned by model, based on the provided input.
+      properties:
+        id:
+          type: string
+          description: A unique identifier for the chat completion.
+        choices:
+          type: array
+          description: A list of chat completion choices. Can be more than one if `n` is greater than 1.
+          items:
+            type: object
+            required:
+              - finish_reason
+              - index
+              - message
+              - logprobs
+            properties:
+              finish_reason:
+                type: string
+                description: &chat_completion_finish_reason_description |
+                  The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence,
+                  `length` if the maximum number of tokens specified in the request was reached,
+                  `content_filter` if content was omitted due to a flag from our content filters,
+                  `tool_calls` if the model called a tool, or `function_call` (deprecated) if the model called a function.
+                enum:
+                  [
+                    "stop",
+                    "length",
+                    "tool_calls",
+                    "content_filter",
+                    "function_call",
+                  ]
+              index:
+                type: integer
+                description: The index of the choice in the list of choices.
+              message:
+                $ref: "#/components/schemas/ChatCompletionResponseMessage"
+              logprobs: &chat_completion_response_logprobs
+                description: Log probability information for the choice.
+                type: object
+                nullable: true
+                properties:
+                  content:
+                    description: A list of message content tokens with log probability information.
+                    type: array
+                    items:
+                      $ref: '#/components/schemas/ChatCompletionTokenLogprob'
+                    nullable: true
+                required:
+                  - content
+        created:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the chat completion was created.
+        model:
+          type: string
+          description: The model used for the chat completion.
+        system_fingerprint:
+          type: string
+          description: |
+            This fingerprint represents the backend configuration that the model runs with.
+
+            Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism.
+        object:
+          type: string
+          description: The object type, which is always `chat.completion`.
+          enum: [chat.completion]
+        usage:
+          $ref: "#/components/schemas/CompletionUsage"
+      required:
+        - choices
+        - created
+        - id
+        - model
+        - object
+      x-oaiMeta:
+        name: The chat completion object
+        group: chat
+        example: *chat_completion_example
+
+    CreateChatCompletionFunctionResponse:
+      type: object
+      description: Represents a chat completion response returned by model, based on the provided input.
+      properties:
+        id:
+          type: string
+          description: A unique identifier for the chat completion.
+        choices:
+          type: array
+          description: A list of chat completion choices. Can be more than one if `n` is greater than 1.
+          items:
+            type: object
+            required:
+              - finish_reason
+              - index
+              - message
+              - logprobs
+            properties:
+              finish_reason:
+                type: string
+                description:
+                  &chat_completion_function_finish_reason_description |
+                  The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence, `length` if the maximum number of tokens specified in the request was reached, `content_filter` if content was omitted due to a flag from our content filters, or `function_call` if the model called a function.
+                enum: ["stop", "length", "function_call", "content_filter"]
+              index:
+                type: integer
+                description: The index of the choice in the list of choices.
+              message:
+                $ref: "#/components/schemas/ChatCompletionResponseMessage"
+        created:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the chat completion was created.
+        model:
+          type: string
+          description: The model used for the chat completion.
+        system_fingerprint:
+          type: string
+          description: |
+            This fingerprint represents the backend configuration that the model runs with.
+
+            Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism.
+        object:
+          type: string
+          description: The object type, which is always `chat.completion`.
+          enum: [chat.completion]
+        usage:
+          $ref: "#/components/schemas/CompletionUsage"
+      required:
+        - choices
+        - created
+        - id
+        - model
+        - object
+      x-oaiMeta:
+        name: The chat completion object
+        group: chat
+        example: *chat_completion_function_example
+
+    ChatCompletionTokenLogprob:
+      type: object
+      properties:
+        token: &chat_completion_response_logprobs_token
+          description: The token.
+          type: string
+        logprob: &chat_completion_response_logprobs_token_logprob
+          description: The log probability of this token.
+          type: number
+        bytes: &chat_completion_response_logprobs_bytes
+          description: A list of integers representing the UTF-8 bytes representation of the token. Useful in instances where characters are represented by multiple tokens and their byte representations must be combined to generate the correct text representation. Can be `null` if there is no bytes representation for the token.
+          type: array
+          items:
+            type: integer
           nullable: true
-          description: &completions_logprobs_description |
-            Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response.
+        top_logprobs:
+          description: List of the most likely tokens and their log probability, at this token position. In rare cases, there may be fewer than the number of requested `top_logprobs` returned.
+          type: array
+          items:
+            type: object
+            properties:
+              token: *chat_completion_response_logprobs_token
+              logprob: *chat_completion_response_logprobs_token_logprob
+              bytes: *chat_completion_response_logprobs_bytes
+            required:
+              - token
+              - logprob
+              - bytes
+      required:
+        - token
+        - logprob
+        - bytes
+        - top_logprobs
 
-            The maximum value for `logprobs` is 5.
-        echo:
+    ListPaginatedFineTuningJobsResponse:
+      type: object
+      properties:
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/FineTuningJob"
+        has_more:
           type: boolean
-          default: false
+        object:
+          type: string
+          enum: [list]
+      required:
+        - object
+        - data
+        - has_more
+
+    CreateChatCompletionStreamResponse:
+      type: object
+      description: Represents a streamed chunk of a chat completion response returned by model, based on the provided input.
+      properties:
+        id:
+          type: string
+          description: A unique identifier for the chat completion. Each chunk has the same ID.
+        choices:
+          type: array
+          description: A list of chat completion choices. Can be more than one if `n` is greater than 1.
+          items:
+            type: object
+            required:
+              - delta
+              - finish_reason
+              - index
+            properties:
+              delta:
+                $ref: "#/components/schemas/ChatCompletionStreamResponseDelta"
+              logprobs: *chat_completion_response_logprobs
+              finish_reason:
+                type: string
+                description: *chat_completion_finish_reason_description
+                enum:
+                  [
+                    "stop",
+                    "length",
+                    "tool_calls",
+                    "content_filter",
+                    "function_call",
+                  ]
+                nullable: true
+              index:
+                type: integer
+                description: The index of the choice in the list of choices.
+        created:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the chat completion was created. Each chunk has the same timestamp.
+        model:
+          type: string
+          description: The model to generate the completion.
+        system_fingerprint:
+          type: string
+          description: |
+            This fingerprint represents the backend configuration that the model runs with.
+            Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism.
+        object:
+          type: string
+          description: The object type, which is always `chat.completion.chunk`.
+          enum: [chat.completion.chunk]
+      required:
+        - choices
+        - created
+        - id
+        - model
+        - object
+      x-oaiMeta:
+        name: The chat completion chunk object
+        group: chat
+        example: *chat_completion_chunk_example
+
+    CreateChatCompletionImageResponse:
+      type: object
+      description: Represents a streamed chunk of a chat completion response returned by model, based on the provided input.
+      x-oaiMeta:
+        name: The chat completion chunk object
+        group: chat
+        example: *chat_completion_image_example
+
+    CreateEditRequest:
+      type: object
+      properties:
+        instruction:
+          description: The instruction that tells the model how to edit the prompt.
+          type: string
+          example: "Fix the spelling mistakes."
+        model:
+          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"
+          anyOf:
+            - type: string
+            - type: string
+              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.
+          type: string
+          default: ""
           nullable: true
-          description: &completions_echo_description >
-            Echo back the prompt in addition to the completion
-        stop:
-          description: &completions_stop_description >
-            Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
-          default: null
+          example: "What day of the wek is it?"
+        n:
+          type: integer
+          minimum: 1
+          maximum: 20
+          default: 1
+          example: 1
           nullable: true
-          oneOf:
-            - type: string
-              default: <|endoftext|>
-              example: "\n"
-              nullable: true
-            - type: array
-              minItems: 1
-              maxItems: 4
-              items:
-                type: string
-                example: '["\n"]'
-        presence_penalty:
+          description: How many edits to generate for the input and instruction.
+        temperature:
           type: number
-          default: 0
-          minimum: -2
+          minimum: 0
           maximum: 2
+          default: 1
+          example: 1
           nullable: true
-          description: &completions_presence_penalty_description |
-            Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
+          description: *completions_temperature_description
+        top_p:
+          type: number
+          minimum: 0
+          maximum: 1
+          default: 1
+          example: 1
+          nullable: true
+          description: *completions_top_p_description
+      required:
+        - model
+        - instruction
+
+    CreateEditResponse:
+      type: object
+      deprecated: true
+      title: Edit
+      properties:
+        choices:
+          type: array
+          description: A list of edit choices. Can be more than one if `n` is greater than 1.
+          items:
+            type: object
+            required:
+              - text
+              - index
+              - finish_reason
+            properties:
+              finish_reason:
+                type: string
+                description: *completion_finish_reason_description
+                enum: ["stop", "length"]
+              index:
+                type: integer
+                description: The index of the choice in the list of choices.
+              text:
+                type: string
+                description: The edited result.
+        object:
+          type: string
+          description: The object type, which is always `edit`.
+          enum: [edit]
+        created:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the edit was created.
+        usage:
+          $ref: "#/components/schemas/CompletionUsage"
+      required:
+        - object
+        - created
+        - choices
+        - usage
+      x-oaiMeta:
+        name: The edit object
+        example: *edit_example
+
+    CreateImageRequest:
+      type: object
+      properties:
+        prompt:
+          description: A text description of the desired image(s). The maximum length is 1000 characters for `dall-e-2` and 4000 characters for `dall-e-3`.
+          type: string
+          example: "A cute baby sea otter"
+        model:
+          anyOf:
+            - type: string
+            - type: string
+              enum: ["dall-e-2", "dall-e-3"]
+          x-oaiTypeLabel: string
+          default: "dall-e-2"
+          example: "dall-e-3"
+          nullable: true
+          description: The model to use for image generation.
+        n: &images_n
+          type: integer
+          minimum: 1
+          maximum: 10
+          default: 1
+          example: 1
+          nullable: true
+          description: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only `n=1` is supported.
+        quality:
+          type: string
+          enum: ["standard", "hd"]
+          default: "standard"
+          example: "standard"
+          description: The quality of the image that will be generated. `hd` creates images with finer details and greater consistency across the image. This param is only supported for `dall-e-3`.
+        response_format: &images_response_format
+          type: string
+          enum: ["url", "b64_json"]
+          default: "url"
+          example: "url"
+          nullable: true
+          description: The format in which the generated images are returned. Must be one of `url` or `b64_json`.
+        size: &images_size
+          type: string
+          enum: ["256x256", "512x512", "1024x1024", "1792x1024", "1024x1792"]
+          default: "1024x1024"
+          example: "1024x1024"
+          nullable: true
+          description: The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3` models.
+        style:
+          type: string
+          enum: ["vivid", "natural"]
+          default: "vivid"
+          example: "vivid"
+          nullable: true
+          description: The style of the generated images. Must be one of `vivid` or `natural`. Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. This param is only supported for `dall-e-3`.
+        user: *end_user_param_configuration
+      required:
+        - prompt
+
+    ImagesResponse:
+      properties:
+        created:
+          type: integer
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/Image"
+      required:
+        - created
+        - data
+
+    Image:
+      type: object
+      description: Represents the url or the content of an image generated by the OpenAI API.
+      properties:
+        b64_json:
+          type: string
+          description: The base64-encoded JSON of the generated image, if `response_format` is `b64_json`.
+        url:
+          type: string
+          description: The URL of the generated image, if `response_format` is `url` (default).
+        revised_prompt:
+          type: string
+          description: The prompt that was used to generate the image, if there was any revision to the prompt.
+      x-oaiMeta:
+        name: The image object
+        example: |
+          {
+            "url": "...",
+            "revised_prompt": "..."
+          }
 
-            [See more information about frequency and presence penalties.](/docs/guides/gpt/parameter-details)
-        frequency_penalty:
-          type: number
-          default: 0
-          minimum: -2
-          maximum: 2
+    CreateImageEditRequest:
+      type: object
+      properties:
+        image:
+          description: The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask.
+          type: string
+          format: binary
+        prompt:
+          description: A text description of the desired image(s). The maximum length is 1000 characters.
+          type: string
+          example: "A cute baby sea otter wearing a beret"
+        mask:
+          description: An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`.
+          type: string
+          format: binary
+        model:
+          anyOf:
+            - type: string
+            - type: string
+              enum: ["dall-e-2"]
+          x-oaiTypeLabel: string
+          default: "dall-e-2"
+          example: "dall-e-2"
           nullable: true
-          description: &completions_frequency_penalty_description |
-            Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
-
-            [See more information about frequency and presence penalties.](/docs/guides/gpt/parameter-details)
-        best_of:
+          description: The model to use for image generation. Only `dall-e-2` is supported at this time.
+        n:
           type: integer
+          minimum: 1
+          maximum: 10
           default: 1
-          minimum: 0
-          maximum: 20
+          example: 1
           nullable: true
-          description: &completions_best_of_description |
-            Generates `best_of` completions server-side and returns the "best" (the one with the highest log probability per token). Results cannot be streamed.
-
-            When used with `n`, `best_of` controls the number of candidate completions and `n` specifies how many to return – `best_of` must be greater than `n`.
-
-            **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`.
-        logit_bias: &completions_logit_bias
-          type: object
-          x-oaiTypeLabel: map
-          default: null
+          description: The number of images to generate. Must be between 1 and 10.
+        size: &dalle2_images_size
+          type: string
+          enum: ["256x256", "512x512", "1024x1024"]
+          default: "1024x1024"
+          example: "1024x1024"
           nullable: true
-          additionalProperties:
-            type: integer
-          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](/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.
+          description: The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`.
+        response_format: *images_response_format
+        user: *end_user_param_configuration
+      required:
+        - prompt
+        - image
 
-            As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated.
-        user: &end_user_param_configuration
+    CreateImageVariationRequest:
+      type: object
+      properties:
+        image:
+          description: The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square.
           type: string
-          example: user-1234
+          format: binary
+        model:
+          anyOf:
+            - type: string
+            - type: string
+              enum: ["dall-e-2"]
+          x-oaiTypeLabel: string
+          default: "dall-e-2"
+          example: "dall-e-2"
+          nullable: true
+          description: The model to use for image generation. Only `dall-e-2` is supported at this time.
+        n: *images_n
+        response_format: *images_response_format
+        size: *dalle2_images_size
+        user: *end_user_param_configuration
+      required:
+        - image
+
+    CreateModerationRequest:
+      type: object
+      properties:
+        input:
+          description: The input text to classify
+          oneOf:
+            - type: string
+              default: ""
+              example: "I want to kill them."
+            - type: array
+              items:
+                type: string
+                default: ""
+                example: "I want to kill them."
+        model:
           description: |
-            A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
+            Two content moderations models are available: `text-moderation-stable` and `text-moderation-latest`.
+
+            The default is `text-moderation-latest` which will be automatically upgraded over time. This ensures you are always using our most accurate model. If you use `text-moderation-stable`, we will provide advanced notice before updating the model. Accuracy of `text-moderation-stable` may be slightly lower than for `text-moderation-latest`.
+          nullable: false
+          default: "text-moderation-latest"
+          example: "text-moderation-stable"
+          anyOf:
+            - type: string
+            - type: string
+              enum: ["text-moderation-latest", "text-moderation-stable"]
+          x-oaiTypeLabel: string
       required:
-        - model
-        - prompt
+        - input
 
-    CreateCompletionResponse:
+    CreateModerationResponse:
       type: object
-      description: |
-        Represents a completion response from the API. Note: both the streamed and non-streamed response objects share the same shape (unlike the chat endpoint).
+      description: Represents policy compliance report by OpenAI's content moderation model against a given input.
       properties:
         id:
           type: string
-          description: A unique identifier for the completion.
-        object:
-          type: string
-          description: The object type, which is always "text_completion"
-        created:
-          type: integer
-          description: The Unix timestamp (in seconds) of when the completion was created.
+          description: The unique identifier for the moderation request.
         model:
           type: string
-          description: The model used for completion.
-        choices:
+          description: The model used to generate the moderation results.
+        results:
           type: array
-          description: The list of completion choices the model generated for the input prompt.
+          description: A list of moderation objects.
           items:
             type: object
-            required:
-              - text
-              - index
-              - logprobs
-              - finish_reason
             properties:
-              text:
-                type: string
-              index:
-                type: integer
-              logprobs:
+              flagged:
+                type: boolean
+                description: Whether the content violates [OpenAI's usage policies](/policies/usage-policies).
+              categories:
                 type: object
-                nullable: true
+                description: A list of the categories, and whether they are flagged or not.
                 properties:
-                  tokens:
-                    type: array
-                    items:
-                      type: string
-                  token_logprobs:
-                    type: array
-                    items:
-                      type: number
-                  top_logprobs:
-                    type: array
-                    items:
-                      type: object
-                      additionalProperties:
-                        type: integer
-                  text_offset:
-                    type: array
-                    items:
-                      type: integer
-              finish_reason:
-                type: string
-                description: &completion_finish_reason_description |
-                  The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence,
-                  `length` if the maximum number of tokens specified in the request was reached,
-                  or `content_filter` if content was omitted due to a flag from our content filters.
-                enum: ["stop", "length", "content_filter"]
-        usage:
-          $ref: "#/components/schemas/CompletionUsage"
+                  hate:
+                    type: boolean
+                    description: Content that expresses, incites, or promotes hate based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. Hateful content aimed at non-protected groups (e.g., chess players) is harassment.
+                  hate/threatening:
+                    type: boolean
+                    description: Hateful content that also includes violence or serious harm towards the targeted group based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste.
+                  harassment:
+                    type: boolean
+                    description: Content that expresses, incites, or promotes harassing language towards any target.
+                  harassment/threatening:
+                    type: boolean
+                    description: Harassment content that also includes violence or serious harm towards any target.
+                  self-harm:
+                    type: boolean
+                    description: Content that promotes, encourages, or depicts acts of self-harm, such as suicide, cutting, and eating disorders.
+                  self-harm/intent:
+                    type: boolean
+                    description: Content where the speaker expresses that they are engaging or intend to engage in acts of self-harm, such as suicide, cutting, and eating disorders.
+                  self-harm/instructions:
+                    type: boolean
+                    description: Content that encourages performing acts of self-harm, such as suicide, cutting, and eating disorders, or that gives instructions or advice on how to commit such acts.
+                  sexual:
+                    type: boolean
+                    description: Content meant to arouse sexual excitement, such as the description of sexual activity, or that promotes sexual services (excluding sex education and wellness).
+                  sexual/minors:
+                    type: boolean
+                    description: Sexual content that includes an individual who is under 18 years old.
+                  violence:
+                    type: boolean
+                    description: Content that depicts death, violence, or physical injury.
+                  violence/graphic:
+                    type: boolean
+                    description: Content that depicts death, violence, or physical injury in graphic detail.
+                required:
+                  - hate
+                  - hate/threatening
+                  - harassment
+                  - harassment/threatening
+                  - self-harm
+                  - self-harm/intent
+                  - self-harm/instructions
+                  - sexual
+                  - sexual/minors
+                  - violence
+                  - violence/graphic
+              category_scores:
+                type: object
+                description: A list of the categories along with their scores as predicted by model.
+                properties:
+                  hate:
+                    type: number
+                    description: The score for the category 'hate'.
+                  hate/threatening:
+                    type: number
+                    description: The score for the category 'hate/threatening'.
+                  harassment:
+                    type: number
+                    description: The score for the category 'harassment'.
+                  harassment/threatening:
+                    type: number
+                    description: The score for the category 'harassment/threatening'.
+                  self-harm:
+                    type: number
+                    description: The score for the category 'self-harm'.
+                  self-harm/intent:
+                    type: number
+                    description: The score for the category 'self-harm/intent'.
+                  self-harm/instructions:
+                    type: number
+                    description: The score for the category 'self-harm/instructions'.
+                  sexual:
+                    type: number
+                    description: The score for the category 'sexual'.
+                  sexual/minors:
+                    type: number
+                    description: The score for the category 'sexual/minors'.
+                  violence:
+                    type: number
+                    description: The score for the category 'violence'.
+                  violence/graphic:
+                    type: number
+                    description: The score for the category 'violence/graphic'.
+                required:
+                  - hate
+                  - hate/threatening
+                  - harassment
+                  - harassment/threatening
+                  - self-harm
+                  - self-harm/intent
+                  - self-harm/instructions
+                  - sexual
+                  - sexual/minors
+                  - violence
+                  - violence/graphic
+            required:
+              - flagged
+              - categories
+              - category_scores
       required:
         - id
-        - object
-        - created
         - model
-        - choices
+        - results
       x-oaiMeta:
-        name: The completion object
-        legacy: true
-        example: |
-          {
-            "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7",
-            "object": "text_completion",
-            "created": 1589478378,
-            "model": "gpt-3.5-turbo",
-            "choices": [
-              {
-                "text": "\n\nThis is indeed a test",
-                "index": 0,
-                "logprobs": null,
-                "finish_reason": "length"
-              }
-            ],
-            "usage": {
-              "prompt_tokens": 5,
-              "completion_tokens": 7,
-              "total_tokens": 12
-            }
-          }
+        name: The moderation object
+        example: *moderation_example
 
-    ChatCompletionRequestMessage:
+    ListFilesResponse:
       type: object
       properties:
-        role:
-          type: string
-          enum: ["system", "user", "assistant", "function"]
-          description: The role of the messages author. One of `system`, `user`, `assistant`, or `function`.
-        content:
-          type: string
-          nullable: true
-          description: The contents of the message. `content` is required for all messages, and may be null for assistant messages with function calls.
-        name:
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/OpenAIFile"
+        object:
           type: string
-          description: The name of the author of this message. `name` is required if role is `function`, and it should be the name of the function whose response is in the `content`. May contain a-z, A-Z, 0-9, and underscores, with a maximum length of 64 characters.
-        function_call:
-          type: object
-          description: The name and arguments of a function that should be called, as generated by the model.
-          properties:
-            name:
-              type: string
-              description: The name of the function to call.
-            arguments:
-              type: string
-              description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
-          required:
-            - name
-            - arguments
+          enum: [list]
       required:
-        - role
-        - content
-
-    ChatCompletionFunctionParameters:
-      type: object
-      description: "The parameters the functions accepts, described as a JSON Schema object. See the [guide](/docs/guides/gpt/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format.\n\nTo describe a function that accepts no parameters, provide the value `{\"type\": \"object\", \"properties\": {}}`."
-      additionalProperties: true
+        - object
+        - data
 
-    ChatCompletionFunctions:
+    CreateFileRequest:
       type: object
+      additionalProperties: false
       properties:
-        name:
+        file:
+          description: |
+            The File object (not file name) to be uploaded.
           type: string
-          description: The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.
-        description:
+          format: binary
+        purpose:
+          description: |
+            The intended purpose of the uploaded file.
+
+            Use "fine-tune" for [Fine-tuning](/docs/api-reference/fine-tuning) and "assistants" for [Assistants](/docs/api-reference/assistants) and [Messages](/docs/api-reference/messages). This allows us to validate the format of the uploaded file is correct for fine-tuning.
           type: string
-          description: A description of what the function does, used by the model to choose when and how to call the function.
-        parameters:
-          $ref: "#/components/schemas/ChatCompletionFunctionParameters"
+          enum: ["fine-tune", "assistants"]
       required:
-        - name
-        - parameters
+        - file
+        - purpose
 
-    ChatCompletionFunctionCallOption:
+    DeleteFileResponse:
       type: object
       properties:
-        name:
+        id:
           type: string
-          description: The name of the function to call.
+        object:
+          type: string
+          enum: [file]
+        deleted:
+          type: boolean
       required:
-        - name
+        - id
+        - object
+        - deleted
 
-    ChatCompletionResponseMessage:
+    CreateFineTuningJobRequest:
       type: object
-      description: A chat completion message generated by the model.
       properties:
-        role:
-          type: string
-          enum: ["system", "user", "assistant", "function"]
-          description: The role of the author of this message.
-        content:
+        model:
+          description: |
+            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"]
+          x-oaiTypeLabel: string
+        training_file:
+          description: |
+            The ID of an uploaded file that contains training data.
+
+            See [upload file](/docs/api-reference/files/upload) for how to upload a file.
+
+            Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose `fine-tune`.
+
+            See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
           type: string
-          description: The contents of the message.
-          nullable: true
-        function_call:
+          example: "file-abc123"
+        hyperparameters:
           type: object
-          description: The name and arguments of a function that should be called, as generated by the model.
+          description: The hyperparameters used for the fine-tuning job.
           properties:
-            name:
-              type: string
-              description: The name of the function to call.
-            arguments:
-              type: string
-              description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
-          required:
-            - name
-            - arguments
-      required:
-        - role
-        - content
+            batch_size:
+              description: |
+                Number of examples in each batch. A larger batch size means that model parameters
+                are updated less frequently, but with lower variance.
+              oneOf:
+                - type: string
+                  enum: [auto]
+                - type: integer
+                  minimum: 1
+                  maximum: 256
+              default: auto
+            learning_rate_multiplier:
+              description: |
+                Scaling factor for the learning rate. A smaller learning rate may be useful to avoid
+                overfitting.
+              oneOf:
+                - type: string
+                  enum: [auto]
+                - type: number
+                  minimum: 0
+                  exclusiveMinimum: true
+              default: auto
+            n_epochs:
+              description: |
+                The number of epochs to train the model for. An epoch refers to one full cycle
+                through the training dataset.
+              oneOf:
+                - type: string
+                  enum: [auto]
+                - type: integer
+                  minimum: 1
+                  maximum: 50
+              default: auto
+        suffix:
+          description: |
+            A string of up to 18 characters that will be added to your fine-tuned model name.
 
-    ChatCompletionStreamResponseDelta:
-      type: object
-      description: A chat completion delta generated by streamed model responses.
-      properties:
-        role:
+            For example, a `suffix` of "custom-model-name" would produce a model name like `ft:gpt-3.5-turbo:openai:custom-model-name:7p4lURel`.
           type: string
-          enum: ["system", "user", "assistant", "function"]
-          description: The role of the author of this message.
-        content:
+          minLength: 1
+          maxLength: 40
+          default: null
+          nullable: true
+        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.
+            The same data should not be present in both train and validation files.
+
+            Your dataset must be formatted as a JSONL file. You must upload your file with the purpose `fine-tune`.
+
+            See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
           type: string
-          description: The contents of the chunk message.
           nullable: true
-        function_call:
-          type: object
-          description: The name and arguments of a function that should be called, as generated by the model.
-          properties:
-            name:
-              type: string
-              description: The name of the function to call.
-            arguments:
-              type: string
-              description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
+          example: "file-abc123"
+      required:
+        - model
+        - training_file
 
-    CreateChatCompletionRequest:
+    ListFineTuningJobEventsResponse:
       type: object
       properties:
-        model:
-          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
-          x-oaiTypeLabel: string
-        messages:
-          description: A list of messages comprising the conversation so far. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb).
+        data:
           type: array
-          minItems: 1
           items:
-            $ref: "#/components/schemas/ChatCompletionRequestMessage"
-        functions:
-          description: A list of functions the model may generate JSON inputs for.
+            $ref: "#/components/schemas/FineTuningJobEvent"
+        object:
+          type: string
+          enum: [list]
+      required:
+        - object
+        - data
+
+    CreateFineTuneRequest:
+      type: object
+      properties:
+        training_file:
+          description: |
+            The ID of an uploaded file that contains training data.
+
+            See [upload file](/docs/api-reference/files/upload) for how to upload a file.
+
+            Your dataset must be formatted as a JSONL file, where each training
+            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/legacy-fine-tuning/creating-training-data) for more details.
+          type: string
+          example: "file-abc123"
+        batch_size:
+          description: |
+            The batch size to use for training. The batch size is the number of
+            training examples used to train a single forward and backward pass.
+
+            By default, the batch size will be dynamically configured to be
+            ~0.2% of the number of examples in the training set, capped at 256 -
+            in general, we've found that larger batch sizes tend to work better
+            for larger datasets.
+          default: null
+          type: integer
+          nullable: true
+        classification_betas:
+          description: |
+            If this is provided, we calculate F-beta scores at the specified
+            beta values. The F-beta score is a generalization of F-1 score.
+            This is only used for binary classification.
+
+            With a beta of 1 (i.e. the F-1 score), precision and recall are
+            given the same weight. A larger beta score puts more weight on
+            recall and less on precision. A smaller beta score puts more weight
+            on precision and less on recall.
           type: array
-          minItems: 1
-          maxItems: 128
           items:
-            $ref: "#/components/schemas/ChatCompletionFunctions"
-        function_call:
-          description: "Controls how the model responds to function calls. `none` means the model does not call a function, and responds to the end-user. `auto` means the model can pick between an end-user or calling a function.  Specifying a particular function via `{\"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:
-            - type: string
-              enum: [none, auto]
-            - $ref: "#/components/schemas/ChatCompletionFunctionCallOption"
-        temperature:
-          type: number
-          minimum: 0
-          maximum: 2
-          default: 1
-          example: 1
-          nullable: true
-          description: *completions_temperature_description
-        top_p:
-          type: number
-          minimum: 0
-          maximum: 1
-          default: 1
-          example: 1
+            type: number
+          example: [0.6, 1, 1.5, 2]
+          default: null
           nullable: true
-          description: *completions_top_p_description
-        n:
+        classification_n_classes:
+          description: |
+            The number of classes in a classification task.
+
+            This parameter is required for multiclass classification.
           type: integer
-          minimum: 1
-          maximum: 128
-          default: 1
-          example: 1
-          nullable: true
-          description: How many chat completion choices to generate for each input message.
-        stream:
-          description: >
-            If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
-            as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb).
-          type: boolean
+          default: null
           nullable: true
-          default: false
-        stop:
+        classification_positive_class:
           description: |
-            Up to 4 sequences where the API will stop generating further tokens.
+            The positive class in binary classification.
+
+            This parameter is needed to generate precision, recall, and F1
+            metrics when doing binary classification.
+          type: string
           default: null
-          oneOf:
-            - type: string
-              nullable: true
-            - type: array
-              minItems: 1
-              maxItems: 4
-              items:
-                type: string
-        max_tokens:
+          nullable: true
+        compute_classification_metrics:
           description: |
-            The maximum number of [tokens](/tokenizer) to generate in the chat completion.
+            If set, we calculate classification-specific metrics such as accuracy
+            and F-1 score using the validation set at the end of every epoch.
+            These metrics can be viewed in the [results file](/docs/guides/legacy-fine-tuning/analyzing-your-fine-tuned-model).
 
-            The total length of input tokens and generated tokens is limited by the model's context length. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens.
-          default: inf
-          type: integer
+            In order to compute classification metrics, you must provide a
+            `validation_file`. Additionally, you must
+            specify `classification_n_classes` for multiclass classification or
+            `classification_positive_class` for binary classification.
+          type: boolean
+          default: false
           nullable: true
-        presence_penalty:
+        hyperparameters:
+          type: object
+          description: The hyperparameters used for the fine-tuning job.
+          properties:
+            n_epochs:
+              description: |
+                The number of epochs to train the model for. An epoch refers to one
+                full cycle through the training dataset.
+              oneOf:
+                - type: string
+                  enum: [auto]
+                - type: integer
+                  minimum: 1
+                  maximum: 50
+              default: auto
+        learning_rate_multiplier:
+          description: |
+            The learning rate multiplier to use for training.
+            The fine-tuning learning rate is the original learning rate used for
+            pretraining multiplied by this value.
+
+            By default, the learning rate multiplier is the 0.05, 0.1, or 0.2
+            depending on final `batch_size` (larger learning rates tend to
+            perform better with larger batch sizes). We recommend experimenting
+            with values in the range 0.02 to 0.2 to see what produces the best
+            results.
+          default: null
           type: number
-          default: 0
-          minimum: -2
-          maximum: 2
           nullable: true
-          description: *completions_presence_penalty_description
-        frequency_penalty:
+        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 and before 2023-08-22.
+            To learn more about these models, see the
+            [Models](/docs/models) documentation.
+          default: "curie"
+          example: "curie"
+          nullable: true
+          anyOf:
+            - type: string
+            - type: string
+              enum: ["ada", "babbage", "curie", "davinci"]
+          x-oaiTypeLabel: string
+        prompt_loss_weight:
+          description: |
+            The weight to use for loss on the prompt tokens. This controls how
+            much the model tries to learn to generate the prompt (as compared
+            to the completion which always has a weight of 1.0), and can add
+            a stabilizing effect to training when completions are short.
+
+            If prompts are extremely long (relative to completions), it may make
+            sense to reduce this weight so as to avoid over-prioritizing
+            learning the prompt.
+          default: 0.01
           type: number
-          default: 0
-          minimum: -2
-          maximum: 2
           nullable: true
-          description: *completions_frequency_penalty_description
-        logit_bias:
-          type: object
-          x-oaiTypeLabel: map
+        suffix:
+          description: |
+            A string of up to 40 characters that will be added to your fine-tuned model name.
+
+            For example, a `suffix` of "custom-model-name" would produce a model name like `ada:ft-your-org:custom-model-name-2022-02-15-04-21-04`.
+          type: string
+          minLength: 1
+          maxLength: 40
           default: null
           nullable: true
-          additionalProperties:
-            type: integer
+        validation_file:
           description: |
-            Modify the likelihood of specified tokens appearing in the completion.
+            The ID of an uploaded file that contains validation data.
 
-            Accepts a json object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. 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.
-        user: *end_user_param_configuration
+            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/legacy-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/legacy-fine-tuning/creating-training-data) for more details.
+          type: string
+          nullable: true
+          example: "file-abc123"
       required:
-        - model
-        - messages
+        - training_file
 
-    CreateChatCompletionResponse:
+    ListFineTunesResponse:
       type: object
-      description: Represents a chat completion response returned by model, based on the provided input.
       properties:
-        id:
-          type: string
-          description: A unique identifier for the chat completion.
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/FineTune"
         object:
           type: string
-          description: The object type, which is always `chat.completion`.
-        created:
-          type: integer
-          description: The Unix timestamp (in seconds) of when the chat completion was created.
-        model:
-          type: string
-          description: The model used for the chat completion.
-        choices:
+          enum: [list]
+      required:
+        - object
+        - data
+
+    ListFineTuneEventsResponse:
+      type: object
+      properties:
+        data:
           type: array
-          description: A list of chat completion choices. Can be more than one if `n` is greater than 1.
           items:
-            type: object
-            required:
-              - index
-              - message
-              - finish_reason
-            properties:
-              index:
-                type: integer
-                description: The index of the choice in the list of choices.
-              message:
-                $ref: "#/components/schemas/ChatCompletionResponseMessage"
-              finish_reason:
+            $ref: "#/components/schemas/FineTuneEvent"
+        object:
+          type: string
+          enum: [list]
+      required:
+        - object
+        - data
+
+    CreateEmbeddingRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        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`), cannot be an empty string, and any array must be 2048 dimensions or less. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.
+          example: "The quick brown fox jumped over the lazy dog"
+          oneOf:
+            - type: string
+              title: string
+              description: The string that will be turned into an embedding.
+              default: ""
+              example: "This is a test."
+            - type: array
+              title: array
+              description: The array of strings that will be turned into an embedding.
+              minItems: 1
+              maxItems: 2048
+              items:
                 type: string
-                description: &chat_completion_finish_reason_description |
-                  The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence,
-                  `length` if the maximum number of tokens specified in the request was reached,
-                  `content_filter` if content was omitted due to a flag from our content filters,
-                  or `function_call` if the model called a function.
-                enum: ["stop", "length", "function_call", "content_filter"]
-        usage:
-          $ref: "#/components/schemas/CompletionUsage"
+                default: ""
+                example: "['This is a test.']"
+            - type: array
+              title: array
+              description: The array of integers that will be turned into an embedding.
+              minItems: 1
+              maxItems: 2048
+              items:
+                type: integer
+              example: "[1212, 318, 257, 1332, 13]"
+            - type: array
+              title: array
+              description: The array of arrays containing integers that will be turned into an embedding.
+              minItems: 1
+              maxItems: 2048
+              items:
+                type: array
+                minItems: 1
+                items:
+                  type: integer
+              example: "[[1212, 318, 257, 1332, 13]]"
+          x-oaiExpandable: true
+        model:
+          description: *model_description
+          example: "text-embedding-ada-002"
+          anyOf:
+            - type: string
+            - 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/)."
+          example: "float"
+          default: "float"
+          type: string
+          enum: ["float", "base64"]
+        user: *end_user_param_configuration
       required:
-        - id
-        - object
-        - created
         - model
-        - choices
-      x-oaiMeta:
-        name: The chat completion object
-        group: chat
-        example: *chat_completion_example
+        - input
 
-    ListPaginatedFineTuningJobsResponse:
+    CreateEmbeddingResponse:
       type: object
       properties:
-        object:
-          type: string
         data:
           type: array
+          description: The list of embeddings generated by the model.
           items:
-            $ref: "#/components/schemas/FineTuningJob"
-        has_more:
-          type: boolean
+            $ref: "#/components/schemas/Embedding"
+        model:
+          type: string
+          description: The name of the model used to generate the embedding.
+        object:
+          type: string
+          description: The object type, which is always "list".
+          enum: [list]
+        usage:
+          type: object
+          description: The usage information for the request.
+          properties:
+            prompt_tokens:
+              type: integer
+              description: The number of tokens used by the prompt.
+            total_tokens:
+              type: integer
+              description: The total number of tokens used by the request.
+          required:
+            - prompt_tokens
+            - total_tokens
       required:
         - object
+        - model
         - data
-        - has_more
+        - usage
 
-    CreateChatCompletionStreamResponse:
+    CreateTranscriptionRequest:
       type: object
-      description: Represents a streamed chunk of a chat completion response returned by model, based on the provided input.
+      additionalProperties: false
       properties:
-        id:
-          type: string
-          description: A unique identifier for the chat completion chunk.
-        object:
+        file:
+          description: |
+            The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
           type: string
-          description: The object type, which is always `chat.completion.chunk`.
-        created:
-          type: integer
-          description: The Unix timestamp (in seconds) of when the chat completion chunk was created.
+          x-oaiTypeLabel: file
+          format: binary
         model:
+          description: |
+            ID of the model to use. Only `whisper-1` is currently available.
+          example: whisper-1
+          anyOf:
+            - type: string
+            - type: string
+              enum: ["whisper-1"]
+          x-oaiTypeLabel: string
+        language:
+          description: |
+            The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency.
           type: string
-          description: The model to generate the completion.
-        choices:
-          type: array
-          description: A list of chat completion choices. Can be more than one if `n` is greater than 1.
-          items:
-            type: object
-            required:
-              - index
-              - delta
-              - finish_reason
-            properties:
-              index:
-                type: integer
-                description: The index of the choice in the list of choices.
-              delta:
-                $ref: "#/components/schemas/ChatCompletionStreamResponseDelta"
-              finish_reason:
-                type: string
-                description: *chat_completion_finish_reason_description
-                enum: ["stop", "length", "function_call", "content_filter"]
-                nullable: true
+        prompt:
+          description: |
+            An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language.
+          type: string
+        response_format:
+          description: |
+            The format of the transcript output, in one of these options: `json`, `text`, `srt`, `verbose_json`, or `vtt`.
+          type: string
+          enum:
+            - json
+            - text
+            - srt
+            - verbose_json
+            - vtt
+          default: json
+        temperature:
+          description: |
+            The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.
+          type: number
+          default: 0
       required:
-        - id
-        - object
-        - created
+        - file
         - model
-        - choices
-      x-oaiMeta:
-        name: The chat completion chunk object
-        group: chat
-        example: *chat_completion_chunk_example
 
-    CreateEditRequest:
+    # Note: This does not currently support the non-default response format types.
+    CreateTranscriptionResponse:
       type: object
       properties:
-        model:
-          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"
+        text:
+          type: string
+      required:
+        - text
+
+    CreateTranslationRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        file:
+          description: |
+            The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
           type: string
+          x-oaiTypeLabel: file
+          format: binary
+        model:
+          description: |
+            ID of the model to use. Only `whisper-1` is currently available.
+          example: whisper-1
+          anyOf:
+            - type: string
+            - type: string
+              enum: ["whisper-1"]
           x-oaiTypeLabel: string
-        input:
-          description: The input text to use as a starting point for the edit.
+        prompt:
+          description: |
+            An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English.
           type: string
-          default: ""
-          nullable: true
-          example: "What day of the wek is it?"
-        instruction:
-          description: The instruction that tells the model how to edit the prompt.
+        response_format:
+          description: |
+            The format of the transcript output, in one of these options: `json`, `text`, `srt`, `verbose_json`, or `vtt`.
           type: string
-          example: "Fix the spelling mistakes."
-        n:
-          type: integer
-          minimum: 1
-          maximum: 20
-          default: 1
-          example: 1
-          nullable: true
-          description: How many edits to generate for the input and instruction.
+          default: json
         temperature:
+          description: |
+            The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.
           type: number
-          minimum: 0
-          maximum: 2
-          default: 1
-          example: 1
-          nullable: true
-          description: *completions_temperature_description
-        top_p:
-          type: number
-          minimum: 0
-          maximum: 1
-          default: 1
-          example: 1
-          nullable: true
-          description: *completions_top_p_description
+          default: 0
       required:
+        - file
         - model
-        - instruction
 
-    CreateEditResponse:
+    # Note: This does not currently support the non-default response format types.
+    CreateTranslationResponse:
       type: object
-      title: Edit
-      deprecated: true
       properties:
-        object:
+        text:
           type: string
-          description: The object type, which is always `edit`.
-        created:
-          type: integer
-          description: The Unix timestamp (in seconds) of when the edit was created.
-        choices:
-          type: array
-          description: A list of edit choices. Can be more than one if `n` is greater than 1.
-          items:
-            type: object
-            required:
-              - text
-              - index
-              - finish_reason
-            properties:
-              text:
-                type: string
-                description: The edited result.
-              index:
-                type: integer
-                description: The index of the choice in the list of choices.
-              finish_reason:
-                type: string
-                description: *completion_finish_reason_description
-                enum: ["stop", "length"]
-        usage:
-          $ref: "#/components/schemas/CompletionUsage"
       required:
-        - object
-        - created
-        - choices
-        - usage
-      x-oaiMeta:
-        name: The edit object
-        example: *edit_example
+        - text
 
-    CreateImageRequest:
+    CreateSpeechRequest:
       type: object
+      additionalProperties: false
       properties:
-        prompt:
-          description: A text description of the desired image(s). The maximum length is 1000 characters.
-          type: string
-          example: "A cute baby sea otter"
-        n: &images_n
-          type: integer
-          minimum: 1
-          maximum: 10
-          default: 1
-          example: 1
-          nullable: true
-          description: The number of images to generate. Must be between 1 and 10.
-        size: &images_size
-          type: string
-          enum: ["256x256", "512x512", "1024x1024"]
-          default: "1024x1024"
-          example: "1024x1024"
-          nullable: true
-          description: The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`.
-        response_format: &images_response_format
+        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"]
+          x-oaiTypeLabel: string
+        input:
           type: string
-          enum: ["url", "b64_json"]
-          default: "url"
-          example: "url"
-          nullable: true
-          description: The format in which the generated images are returned. Must be one of `url` or `b64_json`.
-        user: *end_user_param_configuration
+          description: The text to generate audio for. The maximum length is 4096 characters.
+          maxLength: 4096
+        voice:
+          description: The voice to use when generating the audio. Supported voices are `alloy`, `echo`, `fable`, `onyx`, `nova`, and `shimmer`. Previews of the voices are available in the [Text to speech guide](/docs/guides/text-to-speech/voice-options).
+          type: string
+          enum: ["alloy", "echo", "fable", "onyx", "nova", "shimmer"]
+        response_format:
+          description: "The format to audio in. Supported formats are `mp3`, `opus`, `aac`, and `flac`."
+          default: "mp3"
+          type: string
+          enum: ["mp3", "opus", "aac", "flac"]
+        speed:
+          description: "The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is the default."
+          type: number
+          default: 1.0
+          minimum: 0.25
+          maximum: 4.0
       required:
-        - prompt
+        - model
+        - input
+        - voice
 
-    ImagesResponse:
+    Model:
+      title: Model
+      description: Describes an OpenAI model offering that can be used with the API.
       properties:
+        id:
+          type: string
+          description: The model identifier, which can be referenced in the API endpoints.
         created:
           type: integer
-        data:
-          type: array
-          items:
-            $ref: "#/components/schemas/Image"
+          description: The Unix timestamp (in seconds) when the model was created.
+        object:
+          type: string
+          description: The object type, which is always "model".
+          enum: [model]
+        owned_by:
+          type: string
+          description: The organization that owns the model.
       required:
+        - id
+        - object
         - created
-        - data
+        - owned_by
+      x-oaiMeta:
+        name: The model object
+        example: *retrieve_model_response
 
-    Image:
-      type: object
-      description: Represents the url or the content of an image generated by the OpenAI API.
+    OpenAIFile:
+      title: OpenAIFile
+      description: The `File` object represents a document that has been uploaded to OpenAI.
       properties:
-        url:
+        id:
           type: string
-          description: The URL of the generated image, if `response_format` is `url` (default).
-        b64_json:
+          description: The file identifier, which can be referenced in the API endpoints.
+        bytes:
+          type: integer
+          description: The size of the file, in bytes.
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the file was created.
+        filename:
           type: string
-          description: The base64-encoded JSON of the generated image, if `response_format` is `b64_json`.
+          description: The name of the file.
+        object:
+          type: string
+          description: The object type, which is always `file`.
+          enum: ["file"]
+        purpose:
+          type: string
+          description: The intended purpose of the file. Supported values are `fine-tune`, `fine-tune-results`, `assistants`, and `assistants_output`.
+          enum:
+            [
+              "fine-tune",
+              "fine-tune-results",
+              "assistants",
+              "assistants_output",
+            ]
+        status:
+          type: string
+          deprecated: true
+          description: Deprecated. The current status of the file, which can be either `uploaded`, `processed`, or `error`.
+          enum: ["uploaded", "processed", "error"]
+        status_details:
+          type: string
+          deprecated: true
+          description: Deprecated. For details on why a fine-tuning training file failed validation, see the `error` field on `fine_tuning.job`.
+      required:
+        - id
+        - object
+        - bytes
+        - created_at
+        - filename
+        - purpose
+        - status
       x-oaiMeta:
-        name: The image object
+        name: The File object
         example: |
           {
-            "url": "..."
+            "id": "file-abc123",
+            "object": "file",
+            "bytes": 120000,
+            "created_at": 1677610602,
+            "filename": "salesOverview.pdf",
+            "purpose": "assistants",
           }
-
-    CreateImageEditRequest:
+    Embedding:
       type: object
+      description: |
+        Represents an embedding vector returned by embedding endpoint.
       properties:
-        image:
-          description: The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask.
-          type: string
-          format: binary
-        mask:
-          description: An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`.
-          type: string
-          format: binary
-        prompt:
-          description: A text description of the desired image(s). The maximum length is 1000 characters.
+        index:
+          type: integer
+          description: The index of the embedding in the list of embeddings.
+        embedding:
+          type: array
+          description: |
+            The embedding vector, which is a list of floats. The length of vector depends on the model as listed in the [embedding guide](/docs/guides/embeddings).
+          items:
+            type: number
+        object:
           type: string
-          example: "A cute baby sea otter wearing a beret"
-        n: *images_n
-        size: *images_size
-        response_format: *images_response_format
-        user: *end_user_param_configuration
+          description: The object type, which is always "embedding".
+          enum: [embedding]
       required:
-        - prompt
-        - image
+        - index
+        - object
+        - embedding
+      x-oaiMeta:
+        name: The embedding object
+        example: |
+          {
+            "object": "embedding",
+            "embedding": [
+              0.0023064255,
+              -0.009327292,
+              .... (1536 floats total for ada-002)
+              -0.0028842222,
+            ],
+            "index": 0
+          }
 
-    CreateImageVariationRequest:
+    FineTuningJob:
       type: object
+      title: FineTuningJob
+      description: |
+        The `fine_tuning.job` object represents a fine-tuning job that has been created through the API.
       properties:
-        image:
-          description: The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square.
+        id:
           type: string
-          format: binary
-        n: *images_n
-        size: *images_size
-        response_format: *images_response_format
-        user: *end_user_param_configuration
-      required:
-        - image
-
-    CreateModerationRequest:
-      type: object
-      properties:
-        input:
-          description: The input text to classify
-          oneOf:
-            - type: string
-              default: ""
-              example: "I want to kill them."
-            - type: array
-              items:
-                type: string
-                default: ""
-                example: "I want to kill them."
+          description: The object identifier, which can be referenced in the API endpoints.
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the fine-tuning job was created.
+        error:
+          type: object
+          nullable: true
+          description: For fine-tuning jobs that have `failed`, this will contain more information on the cause of the failure.
+          properties:
+            code:
+              type: string
+              description: A machine-readable error code.
+            message:
+              type: string
+              description: A human-readable error message.
+            param:
+              type: string
+              description: The parameter that was invalid, usually `training_file` or `validation_file`. This field will be null if the failure was not parameter-specific.
+              nullable: true
+          required:
+            - code
+            - message
+            - param
+        fine_tuned_model:
+          type: string
+          nullable: true
+          description: The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.
+        finished_at:
+          type: integer
+          nullable: true
+          description: The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running.
+        hyperparameters:
+          type: object
+          description: The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
+          properties:
+            n_epochs:
+              oneOf:
+                - type: string
+                  enum: [auto]
+                - type: integer
+                  minimum: 1
+                  maximum: 50
+              default: auto
+              description:
+                  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.
+          required:
+            - n_epochs
         model:
-          description: |
-            Two content moderations models are available: `text-moderation-stable` and `text-moderation-latest`.
-
-            The default is `text-moderation-latest` which will be automatically upgraded over time. This ensures you are always using our most accurate model. If you use `text-moderation-stable`, we will provide advanced notice before updating the model. Accuracy of `text-moderation-stable` may be slightly lower than for `text-moderation-latest`.
-          nullable: false
-          default: "text-moderation-latest"
-          example: "text-moderation-stable"
           type: string
-          x-oaiTypeLabel: string
+          description: The base model that is being fine-tuned.
+        object:
+          type: string
+          description: The object type, which is always "fine_tuning.job".
+          enum: [fine_tuning.job]
+        organization_id:
+          type: string
+          description: The organization that owns the fine-tuning job.
+        result_files:
+          type: array
+          description: The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the [Files API](/docs/api-reference/files/retrieve-contents).
+          items:
+            type: string
+            example: file-abc123
+        status:
+          type: string
+          description: The current status of the fine-tuning job, which can be either `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
+          enum:
+            [
+              "validating_files",
+              "queued",
+              "running",
+              "succeeded",
+              "failed",
+              "cancelled",
+            ]
+        trained_tokens:
+          type: integer
+          nullable: true
+          description: The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running.
+        training_file:
+          type: string
+          description: The file ID used for training. You can retrieve the training data with the [Files API](/docs/api-reference/files/retrieve-contents).
+        validation_file:
+          type: string
+          nullable: true
+          description: The file ID used for validation. You can retrieve the validation results with the [Files API](/docs/api-reference/files/retrieve-contents).
       required:
-        - input
+        - created_at
+        - error
+        - finished_at
+        - fine_tuned_model
+        - hyperparameters
+        - id
+        - model
+        - object
+        - organization_id
+        - result_files
+        - status
+        - trained_tokens
+        - training_file
+        - validation_file
+      x-oaiMeta:
+        name: The fine-tuning job object
+        example: *fine_tuning_example
 
-    CreateModerationResponse:
+    FineTuningJobEvent:
       type: object
-      description: Represents policy compliance report by OpenAI's content moderation model against a given input.
+      description: Fine-tuning job event object
       properties:
         id:
           type: string
-          description: The unique identifier for the moderation request.
-        model:
+        created_at:
+          type: integer
+        level:
           type: string
-          description: The model used to generate the moderation results.
-        results:
-          type: array
-          description: A list of moderation objects.
-          items:
-            type: object
-            properties:
-              flagged:
-                type: boolean
-                description: Whether the content violates [OpenAI's usage policies](/policies/usage-policies).
-              categories:
-                type: object
-                description: A list of the categories, and whether they are flagged or not.
-                properties:
-                  hate:
-                    type: boolean
-                    description: Content that expresses, incites, or promotes hate based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. Hateful content aimed at non-protected groups (e.g., chess players) is harrassment.
-                  hate/threatening:
-                    type: boolean
-                    description: Hateful content that also includes violence or serious harm towards the targeted group based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste.
-                  harassment:
-                    type: boolean
-                    description: Content that expresses, incites, or promotes harassing language towards any target.
-                  harassment/threatening:
-                    type: boolean
-                    description: Harassment content that also includes violence or serious harm towards any target.
-                  self-harm:
-                    type: boolean
-                    description: Content that promotes, encourages, or depicts acts of self-harm, such as suicide, cutting, and eating disorders.
-                  self-harm/intent:
-                    type: boolean
-                    description: Content where the speaker expresses that they are engaging or intend to engage in acts of self-harm, such as suicide, cutting, and eating disorders.
-                  self-harm/instructions:
-                    type: boolean
-                    description: Content that encourages performing acts of self-harm, such as suicide, cutting, and eating disorders, or that gives instructions or advice on how to commit such acts.
-                  sexual:
-                    type: boolean
-                    description: Content meant to arouse sexual excitement, such as the description of sexual activity, or that promotes sexual services (excluding sex education and wellness).
-                  sexual/minors:
-                    type: boolean
-                    description: Sexual content that includes an individual who is under 18 years old.
-                  violence:
-                    type: boolean
-                    description: Content that depicts death, violence, or physical injury.
-                  violence/graphic:
-                    type: boolean
-                    description: Content that depicts death, violence, or physical injury in graphic detail.
-                required:
-                  - hate
-                  - hate/threatening
-                  - harassment
-                  - harassment/threatening
-                  - self-harm
-                  - self-harm/intent
-                  - self-harm/instructions
-                  - sexual
-                  - sexual/minors
-                  - violence
-                  - violence/graphic
-              category_scores:
-                type: object
-                description: A list of the categories along with their scores as predicted by model.
-                properties:
-                  hate:
-                    type: number
-                    description: The score for the category 'hate'.
-                  hate/threatening:
-                    type: number
-                    description: The score for the category 'hate/threatening'.
-                  harassment:
-                    type: number
-                    description: The score for the category 'harassment'.
-                  harassment/threatening:
-                    type: number
-                    description: The score for the category 'harassment/threatening'.
-                  self-harm:
-                    type: number
-                    description: The score for the category 'self-harm'.
-                  self-harm/intent:
-                    type: number
-                    description: The score for the category 'self-harm/intent'.
-                  self-harm/instructions:
-                    type: number
-                    description: The score for the category 'self-harm/instructions'.
-                  sexual:
-                    type: number
-                    description: The score for the category 'sexual'.
-                  sexual/minors:
-                    type: number
-                    description: The score for the category 'sexual/minors'.
-                  violence:
-                    type: number
-                    description: The score for the category 'violence'.
-                  violence/graphic:
-                    type: number
-                    description: The score for the category 'violence/graphic'.
-                required:
-                  - hate
-                  - hate/threatening
-                  - harassment
-                  - harassment/threatening
-                  - self-harm
-                  - self-harm/intent
-                  - self-harm/instructions
-                  - sexual
-                  - sexual/minors
-                  - violence
-                  - violence/graphic
-            required:
-              - flagged
-              - categories
-              - category_scores
+          enum: ["info", "warn", "error"]
+        message:
+          type: string
+        object:
+          type: string
+          enum: [fine_tuning.job.event]
       required:
         - id
-        - model
-        - results
+        - object
+        - created_at
+        - level
+        - message
       x-oaiMeta:
-        name: The moderation object
-        example: *moderation_example
+        name: The fine-tuning job event object
+        example: |
+          {
+            "object": "fine_tuning.job.event",
+            "id": "ftevent-abc123"
+            "created_at": 1677610602,
+            "level": "info",
+            "message": "Created fine-tuning job"
+          }
 
-    ListFilesResponse:
+    FineTune:
       type: object
+      deprecated: true
+      description: |
+        The `FineTune` object represents a legacy fine-tune job that has been created through the API.
       properties:
+        id:
+          type: string
+          description: The object identifier, which can be referenced in the API endpoints.
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the fine-tuning job was created.
+        events:
+          type: array
+          description: The list of events that have been observed in the lifecycle of the FineTune job.
+          items:
+            $ref: "#/components/schemas/FineTuneEvent"
+        fine_tuned_model:
+          type: string
+          nullable: true
+          description: The name of the fine-tuned model that is being created.
+        hyperparams:
+          type: object
+          description: The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/legacy-fine-tuning/hyperparameters) for more details.
+          properties:
+            batch_size:
+              type: integer
+              description: |
+                The batch size to use for training. The batch size is the number of
+                training examples used to train a single forward and backward pass.
+            classification_n_classes:
+              type: integer
+              description: |
+                The number of classes to use for computing classification metrics.
+            classification_positive_class:
+              type: string
+              description: |
+                The positive class to use for computing classification metrics.
+            compute_classification_metrics:
+              type: boolean
+              description: |
+                The classification metrics to compute using the validation dataset at the end of every epoch.
+            learning_rate_multiplier:
+              type: number
+              description: |
+                The learning rate multiplier to use for training.
+            n_epochs:
+              type: integer
+              description: |
+                The number of epochs to train the model for. An epoch refers to one
+                full cycle through the training dataset.
+            prompt_loss_weight:
+              type: number
+              description: |
+                The weight to use for loss on the prompt tokens.
+          required:
+            - batch_size
+            - learning_rate_multiplier
+            - n_epochs
+            - prompt_loss_weight
+        model:
+          type: string
+          description: The base model that is being fine-tuned.
         object:
           type: string
-        data:
+          description: The object type, which is always "fine-tune".
+          enum: [fine-tune]
+        organization_id:
+          type: string
+          description: The organization that owns the fine-tuning job.
+        result_files:
           type: array
+          description: The compiled results files for the fine-tuning job.
           items:
             $ref: "#/components/schemas/OpenAIFile"
-      required:
-        - object
-        - data
-
-    CreateFileRequest:
-      type: object
-      additionalProperties: false
-      properties:
-        file:
-          description: |
-            Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded.
-
-            If the `purpose` is set to "fine-tune", the file will be used for fine-tuning.
-          type: string
-          format: binary
-        purpose:
-          description: |
-            The intended purpose of the uploaded documents.
-
-            Use "fine-tune" for [fine-tuning](/docs/api-reference/fine-tuning). This allows us to validate the format of the uploaded file.
+        status:
           type: string
+          description: The current status of the fine-tuning job, which can be either `created`, `running`, `succeeded`, `failed`, or `cancelled`.
+        training_files:
+          type: array
+          description: The list of files used for training.
+          items:
+            $ref: "#/components/schemas/OpenAIFile"
+        updated_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the fine-tuning job was last updated.
+        validation_files:
+          type: array
+          description: The list of files used for validation.
+          items:
+            $ref: "#/components/schemas/OpenAIFile"
       required:
-        - file
-        - purpose
+        - created_at
+        - fine_tuned_model
+        - hyperparams
+        - id
+        - model
+        - object
+        - organization_id
+        - result_files
+        - status
+        - training_files
+        - updated_at
+        - validation_files
+      x-oaiMeta:
+        name: The fine-tune object
+        example: *fine_tune_example
 
-    DeleteFileResponse:
+    FineTuneEvent:
       type: object
+      deprecated: true
+      description: Fine-tune event object
       properties:
-        id:
+        created_at:
+          type: integer
+        level:
+          type: string
+        message:
           type: string
         object:
           type: string
-        deleted:
-          type: boolean
+          enum: [fine-tune-event]
       required:
-        - id
         - object
-        - deleted
+        - created_at
+        - level
+        - message
+      x-oaiMeta:
+        name: The fine-tune event object
+        example: |
+          {
+            "object": "fine-tune-event",
+            "created_at": 1677610602,
+            "level": "info",
+            "message": "Created fine-tune job"
+          }
 
-    CreateFineTuningJobRequest:
+    CompletionUsage:
       type: object
+      description: Usage statistics for the completion request.
       properties:
-        training_file:
-          description: |
-            The ID of an uploaded file that contains training data.
-
-            See [upload file](/docs/api-reference/files/upload) for how to upload a file.
-
-            Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose `fine-tune`.
+        completion_tokens:
+          type: integer
+          description: Number of tokens in the generated completion.
+        prompt_tokens:
+          type: integer
+          description: Number of tokens in the prompt.
+        total_tokens:
+          type: integer
+          description: Total number of tokens used in the request (prompt + completion).
+      required:
+        - prompt_tokens
+        - completion_tokens
+        - total_tokens
 
-            See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
+    AssistantObject:
+      type: object
+      title: Assistant
+      description: Represents an `assistant` that can call the model and use tools.
+      properties:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
           type: string
-          example: "file-abc123"
-        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.
-            The same data should not be present in both train and validation files.
-
-            Your dataset must be formatted as a JSONL file. You must upload your file with the purpose `fine-tune`.
-
-            See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
+        object:
+          description: The object type, which is always `assistant`.
+          type: string
+          enum: [assistant]
+        created_at:
+          description: The Unix timestamp (in seconds) for when the assistant was created.
+          type: integer
+        name:
+          description: &assistant_name_param_description |
+            The name of the assistant. The maximum length is 256 characters.
           type: string
+          maxLength: 256
+          nullable: true
+        description:
+          description: &assistant_description_param_description |
+            The description of the assistant. The maximum length is 512 characters.
+          type: string
+          maxLength: 512
           nullable: true
-          example: "file-abc123"
         model:
-          description: |
-            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"
+          description: *model_description
           type: string
-          x-oaiTypeLabel: string
-        hyperparameters:
-          type: object
-          description: The hyperparameters used for the fine-tuning job.
-          properties:
-            n_epochs:
-              description: |
-                The number of epochs to train the model for. An epoch refers to one
-                full cycle through the training dataset.
-              oneOf:
-                - type: string
-                  enum: [auto]
-                - type: integer
-                  minimum: 1
-                  maximum: 50
-              default: auto
-        suffix:
-          description: |
-            A string of up to 18 characters that will be added to your fine-tuned model name.
-
-            For example, a `suffix` of "custom-model-name" would produce a model name like `ft:gpt-3.5-turbo:openai:custom-model-name:7p4lURel`.
+        instructions:
+          description: &assistant_instructions_param_description |
+            The system instructions that the assistant uses. The maximum length is 32768 characters.
           type: string
-          minLength: 1
-          maxLength: 40
-          default: null
+          maxLength: 32768
           nullable: true
-      required:
-        - training_file
-        - model
-
-    ListFineTuningJobEventsResponse:
-      type: object
-      properties:
-        object:
-          type: string
-        data:
+        tools:
+          description: &assistant_tools_param_description |
+            A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `retrieval`, or `function`.
+          default: []
           type: array
+          maxItems: 128
           items:
-            $ref: "#/components/schemas/FineTuningJobEvent"
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsRetrieval"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+            x-oaiExpandable: true
+        file_ids:
+          description: &assistant_file_param_description |
+            A list of [file](/docs/api-reference/files) IDs attached to this assistant. There can be a maximum of 20 files attached to the assistant. Files are ordered by their creation date in ascending order.
+          default: []
+          type: array
+          maxItems: 20
+          items:
+            type: string
+        metadata:
+          description: &metadata_description |
+            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.
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
       required:
+        - id
         - object
-        - data
+        - created_at
+        - name
+        - description
+        - model
+        - instructions
+        - tools
+        - file_ids
+        - metadata
+      x-oaiMeta:
+        name: The assistant object
+        beta: true
+        example: *create_assistants_example
 
-    CreateFineTuneRequest:
+    CreateAssistantRequest:
       type: object
+      additionalProperties: false
       properties:
-        training_file:
-          description: |
-            The ID of an uploaded file that contains training data.
-
-            See [upload file](/docs/api-reference/files/upload) for how to upload a file.
-
-            Your dataset must be formatted as a JSONL file, where each training
-            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/legacy-fine-tuning/creating-training-data) for more details.
-          type: string
-          example: "file-abc123"
-        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/legacy-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/legacy-fine-tuning/creating-training-data) for more details.
-          type: string
-          nullable: true
-          example: "file-abc123"
         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 and before 2023-08-22.
-            To learn more about these models, see the
-            [Models](/docs/models) documentation.
-          default: "curie"
-          example: "curie"
-          nullable: true
+          description: *model_description
+          anyOf:
+            - type: string
+        name:
+          description: *assistant_name_param_description
           type: string
-          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
-        batch_size:
-          description: |
-            The batch size to use for training. The batch size is the number of
-            training examples used to train a single forward and backward pass.
-
-            By default, the batch size will be dynamically configured to be
-            ~0.2% of the number of examples in the training set, capped at 256 -
-            in general, we've found that larger batch sizes tend to work better
-            for larger datasets.
-          default: null
-          type: integer
           nullable: true
-        learning_rate_multiplier:
-          description: |
-            The learning rate multiplier to use for training.
-            The fine-tuning learning rate is the original learning rate used for
-            pretraining multiplied by this value.
-
-            By default, the learning rate multiplier is the 0.05, 0.1, or 0.2
-            depending on final `batch_size` (larger learning rates tend to
-            perform better with larger batch sizes). We recommend experimenting
-            with values in the range 0.02 to 0.2 to see what produces the best
-            results.
-          default: null
-          type: number
+          maxLength: 256
+        description:
+          description: *assistant_description_param_description
+          type: string
           nullable: true
-        prompt_loss_weight:
-          description: |
-            The weight to use for loss on the prompt tokens. This controls how
-            much the model tries to learn to generate the prompt (as compared
-            to the completion which always has a weight of 1.0), and can add
-            a stabilizing effect to training when completions are short.
-
-            If prompts are extremely long (relative to completions), it may make
-            sense to reduce this weight so as to avoid over-prioritizing
-            learning the prompt.
-          default: 0.01
-          type: number
+          maxLength: 512
+        instructions:
+          description: *assistant_instructions_param_description
+          type: string
           nullable: true
-        compute_classification_metrics:
-          description: |
-            If set, we calculate classification-specific metrics such as accuracy
-            and F-1 score using the validation set at the end of every epoch.
-            These metrics can be viewed in the [results file](/docs/guides/legacy-fine-tuning/analyzing-your-fine-tuned-model).
-
-            In order to compute classification metrics, you must provide a
-            `validation_file`. Additionally, you must
-            specify `classification_n_classes` for multiclass classification or
-            `classification_positive_class` for binary classification.
-          type: boolean
-          default: false
+          maxLength: 32768
+        tools:
+          description: *assistant_tools_param_description
+          default: []
+          type: array
+          maxItems: 128
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsRetrieval"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+            x-oaiExpandable: true
+        file_ids:
+          description: *assistant_file_param_description
+          default: []
+          maxItems: 20
+          type: array
+          items:
+            type: string
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
           nullable: true
-        classification_n_classes:
-          description: |
-            The number of classes in a classification task.
+      required:
+        - model
 
-            This parameter is required for multiclass classification.
-          type: integer
-          default: null
+    ModifyAssistantRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        model:
+          description: *model_description
+          anyOf:
+            - type: string
+        name:
+          description: *assistant_name_param_description
+          type: string
           nullable: true
-        classification_positive_class:
-          description: |
-            The positive class in binary classification.
-
-            This parameter is needed to generate precision, recall, and F1
-            metrics when doing binary classification.
+          maxLength: 256
+        description:
+          description: *assistant_description_param_description
           type: string
-          default: null
           nullable: true
-        classification_betas:
+          maxLength: 512
+        instructions:
+          description: *assistant_instructions_param_description
+          type: string
+          nullable: true
+          maxLength: 32768
+        tools:
+          description: *assistant_tools_param_description
+          default: []
+          type: array
+          maxItems: 128
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsRetrieval"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+            x-oaiExpandable: true
+        file_ids:
           description: |
-            If this is provided, we calculate F-beta scores at the specified
-            beta values. The F-beta score is a generalization of F-1 score.
-            This is only used for binary classification.
-
-            With a beta of 1 (i.e. the F-1 score), precision and recall are
-            given the same weight. A larger beta score puts more weight on
-            recall and less on precision. A smaller beta score puts more weight
-            on precision and less on recall.
+            A list of [File](/docs/api-reference/files) IDs attached to this assistant. There can be a maximum of 20 files attached to the assistant. Files are ordered by their creation date in ascending order. If a file was previously attached to the list but does not show up in the list, it will be deleted from the assistant.
+          default: []
           type: array
+          maxItems: 20
           items:
-            type: number
-          example: [0.6, 1, 1.5, 2]
-          default: null
+            type: string
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
           nullable: true
-        suffix:
-          description: |
-            A string of up to 40 characters that will be added to your fine-tuned model name.
 
-            For example, a `suffix` of "custom-model-name" would produce a model name like `ada:ft-your-org:custom-model-name-2022-02-15-04-21-04`.
+    DeleteAssistantResponse:
+      type: object
+      properties:
+        id:
           type: string
-          minLength: 1
-          maxLength: 40
-          default: null
-          nullable: true
+        deleted:
+          type: boolean
+        object:
+          type: string
+          enum: [assistant.deleted]
       required:
-        - training_file
+        - id
+        - object
+        - deleted
 
-    ListFineTunesResponse:
+    ListAssistantsResponse:
       type: object
       properties:
         object:
           type: string
+          example: "list"
         data:
           type: array
           items:
-            $ref: "#/components/schemas/FineTune"
+            $ref: "#/components/schemas/AssistantObject"
+        first_id:
+          type: string
+          example: "asst_abc123"
+        last_id:
+          type: string
+          example: "asst_abc456"
+        has_more:
+          type: boolean
+          example: false
       required:
         - object
         - data
+        - first_id
+        - last_id
+        - has_more
+      x-oaiMeta:
+        name: List assistants response object
+        group: chat
+        example: *list_assistants_example
 
-    ListFineTuneEventsResponse:
+    AssistantToolsCode:
       type: object
+      title: Code interpreter tool
       properties:
-        object:
+        type:
           type: string
-        data:
-          type: array
-          items:
-            $ref: "#/components/schemas/FineTuneEvent"
+          description: "The type of tool being defined: `code_interpreter`"
+          enum: ["code_interpreter"]
       required:
-        - object
-        - data
+        - type
 
-    CreateEmbeddingRequest:
+    AssistantToolsRetrieval:
       type: object
-      additionalProperties: false
+      title: Retrieval tool
       properties:
-        model:
-          description: *model_description
-          example: "text-embedding-ada-002"
+        type:
           type: string
-          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. Each input must not exceed the max input tokens for the model (8191 tokens for `text-embedding-ada-002`) and cannot be an empty string. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens.
-          example: "The quick brown fox jumped over the lazy dog"
-          oneOf:
-            - type: string
-              default: ""
-              example: "This is a test."
-            - type: array
-              items:
-                type: string
-                default: ""
-                example: "This is a test."
-            - type: array
-              minItems: 1
-              items:
-                type: integer
-              example: "[1212, 318, 257, 1332, 13]"
-            - type: array
-              minItems: 1
-              items:
-                type: array
-                minItems: 1
-                items:
-                  type: integer
-              example: "[[1212, 318, 257, 1332, 13]]"
-        user: *end_user_param_configuration
+          description: "The type of tool being defined: `retrieval`"
+          enum: ["retrieval"]
       required:
-        - model
-        - input
+        - type
 
-    CreateEmbeddingResponse:
+    AssistantToolsFunction:
       type: object
+      title: Function tool
       properties:
+        type:
+          type: string
+          description: "The type of tool being defined: `function`"
+          enum: ["function"]
+        function:
+          $ref: "#/components/schemas/FunctionObject"
+      required:
+        - type
+        - function
+
+    RunObject:
+      type: object
+      title: A run on a thread
+      description: Represents an execution run on a [thread](/docs/api-reference/threads).
+      properties:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
+          type: string
         object:
+          description: The object type, which is always `thread.run`.
           type: string
-          description: The object type, which is always "embedding".
+          enum: ["thread.run"]
+        created_at:
+          description: The Unix timestamp (in seconds) for when the run was created.
+          type: integer
+        thread_id:
+          description: The ID of the [thread](/docs/api-reference/threads) that was executed on as a part of this run.
+          type: string
+        assistant_id:
+          description: The ID of the [assistant](/docs/api-reference/assistants) used for execution of this run.
+          type: string
+        status:
+          description: The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, or `expired`.
+          type: string
+          enum:
+            [
+              "queued",
+              "in_progress",
+              "requires_action",
+              "cancelling",
+              "cancelled",
+              "failed",
+              "completed",
+              "expired",
+            ]
+        required_action:
+          type: object
+          description: Details on the action required to continue the run. Will be `null` if no action is required.
+          nullable: true
+          properties:
+            type:
+              description: For now, this is always `submit_tool_outputs`.
+              type: string
+              enum: ["submit_tool_outputs"]
+            submit_tool_outputs:
+              type: object
+              description: Details on the tool outputs needed for this run to continue.
+              properties:
+                tool_calls:
+                  type: array
+                  description: A list of the relevant tool calls.
+                  items:
+                    $ref: "#/components/schemas/RunToolCallObject"
+              required:
+                - tool_calls
+          required:
+            - type
+            - submit_tool_outputs
+        last_error:
+          type: object
+          description: The last error associated with this run. Will be `null` if there are no errors.
+          nullable: true
+          properties:
+            code:
+              type: string
+              description: One of `server_error` or `rate_limit_exceeded`.
+              enum: ["server_error", "rate_limit_exceeded"]
+            message:
+              type: string
+              description: A human-readable description of the error.
+          required:
+            - code
+            - message
+        expires_at:
+          description: The Unix timestamp (in seconds) for when the run will expire.
+          type: integer
+        started_at:
+          description: The Unix timestamp (in seconds) for when the run was started.
+          type: integer
+          nullable: true
+        cancelled_at:
+          description: The Unix timestamp (in seconds) for when the run was cancelled.
+          type: integer
+          nullable: true
+        failed_at:
+          description: The Unix timestamp (in seconds) for when the run failed.
+          type: integer
+          nullable: true
+        completed_at:
+          description: The Unix timestamp (in seconds) for when the run was completed.
+          type: integer
+          nullable: true
         model:
+          description: The model that the [assistant](/docs/api-reference/assistants) used for this run.
           type: string
-          description: The name of the model used to generate the embedding.
-        data:
+        instructions:
+          description: The instructions that the [assistant](/docs/api-reference/assistants) used for this run.
+          type: string
+        tools:
+          description: The list of tools that the [assistant](/docs/api-reference/assistants) used for this run.
+          default: []
           type: array
-          description: The list of embeddings generated by the model.
+          maxItems: 20
           items:
-            $ref: "#/components/schemas/Embedding"
-        usage:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsRetrieval"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+            x-oaiExpandable: true
+        file_ids:
+          description: The list of [File](/docs/api-reference/files) IDs the [assistant](/docs/api-reference/assistants) used for this run.
+          default: []
+          type: array
+          items:
+            type: string
+        metadata:
+          description: *metadata_description
           type: object
-          description: The usage information for the request.
-          properties:
-            prompt_tokens:
-              type: integer
-              description: The number of tokens used by the prompt.
-            total_tokens:
-              type: integer
-              description: The total number of tokens used by the request.
-          required:
-            - prompt_tokens
-            - total_tokens
+          x-oaiTypeLabel: map
+          nullable: true
       required:
+        - id
         - object
+        - created_at
+        - thread_id
+        - assistant_id
+        - status
+        - required_action
+        - last_error
+        - expires_at
+        - started_at
+        - cancelled_at
+        - failed_at
+        - completed_at
         - model
-        - data
-        - usage
-
-    CreateTranscriptionRequest:
+        - instructions
+        - tools
+        - file_ids
+        - metadata
+      x-oaiMeta:
+        name: The run object
+        beta: true
+        example: |
+          {
+            "id": "run_abc123",
+            "object": "thread.run",
+            "created_at": 1698107661,
+            "assistant_id": "asst_abc123",
+            "thread_id": "thread_abc123",
+            "status": "completed",
+            "started_at": 1699073476,
+            "expires_at": null,
+            "cancelled_at": null,
+            "failed_at": null,
+            "completed_at": 1699073498,
+            "last_error": null,
+            "model": "gpt-4",
+            "instructions": null,
+            "tools": [{"type": "retrieval"}, {"type": "code_interpreter"}],
+            "file_ids": [],
+            "metadata": {}
+          }
+    CreateRunRequest:
       type: object
       additionalProperties: false
       properties:
-        file:
-          description: |
-            The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+        assistant_id:
+          description: The ID of the [assistant](/docs/api-reference/assistants) to use to execute this run.
           type: string
-          x-oaiTypeLabel: file
-          format: binary
         model:
-          description: |
-            ID of the model to use. Only `whisper-1` is currently available.
-          example: whisper-1
+          description: The ID of the [Model](/docs/api-reference/models) to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.
           type: string
-          x-oaiTypeLabel: string
-        prompt:
-          description: |
-            An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language.
+          nullable: true
+        instructions:
+          description: Overrides the [instructions](/docs/api-reference/assistants/createAssistant) of the assistant. This is useful for modifying the behavior on a per-run basis.
           type: string
-        response_format:
-          description: |
-            The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.
+          nullable: true
+        additional_instructions:
+          description: Appends additional instructions at the end of the instructions for the run. This is useful for modifying the behavior on a per-run basis without overriding other instructions.
           type: string
-          enum:
-            - json
-            - text
-            - srt
-            - verbose_json
-            - vtt
-          default: json
-        temperature:
-          description: |
-            The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.
-          type: number
-          default: 0
-        language:
-          description: |
-            The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency.
+          nullable: true
+        tools:
+          description: Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis.
+          nullable: true
+          type: array
+          maxItems: 20
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsRetrieval"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+            x-oaiExpandable: true
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
+      required:
+        - thread_id
+        - assistant_id
+    ListRunsResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          example: "list"
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/RunObject"
+        first_id:
           type: string
+          example: "run_abc123"
+        last_id:
+          type: string
+          example: "run_abc456"
+        has_more:
+          type: boolean
+          example: false
       required:
-        - file
-        - model
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ModifyRunRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
+    SubmitToolOutputsRunRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        tool_outputs:
+          description: A list of tools for which the outputs are being submitted.
+          type: array
+          items:
+            type: object
+            properties:
+              tool_call_id:
+                type: string
+                description: The ID of the tool call in the `required_action` object within the run object the output is being submitted for.
+              output:
+                type: string
+                description: The output of the tool call to be submitted to continue the run.
+      required:
+        - tool_outputs
 
-    # Note: This does not currently support the non-default response format types.
-    CreateTranscriptionResponse:
+    RunToolCallObject:
       type: object
+      description: Tool call objects
       properties:
-        text:
+        id:
           type: string
+          description: The ID of the tool call. This ID must be referenced when you submit the tool outputs in using the [Submit tool outputs to run](/docs/api-reference/runs/submitToolOutputs) endpoint.
+        type:
+          type: string
+          description: The type of tool call the output is required for. For now, this is always `function`.
+          enum: ["function"]
+        function:
+          type: object
+          description: The function definition.
+          properties:
+            name:
+              type: string
+              description: The name of the function.
+            arguments:
+              type: string
+              description: The arguments that the model expects you to pass to the function.
+          required:
+            - name
+            - arguments
       required:
-        - text
+        - id
+        - type
+        - function
 
-    CreateTranslationRequest:
+    CreateThreadAndRunRequest:
       type: object
       additionalProperties: false
       properties:
-        file:
-          description: |
-            The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+        assistant_id:
+          description: The ID of the [assistant](/docs/api-reference/assistants) to use to execute this run.
           type: string
-          x-oaiTypeLabel: file
-          format: binary
+        thread:
+          $ref: "#/components/schemas/CreateThreadRequest"
+          description: If no thread is provided, an empty thread will be created.
         model:
-          description: |
-            ID of the model to use. Only `whisper-1` is currently available.
-          example: whisper-1
-          type: string
-          x-oaiTypeLabel: string
-        prompt:
-          description: |
-            An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English.
+          description: The ID of the [Model](/docs/api-reference/models) to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.
           type: string
-        response_format:
-          description: |
-            The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.
+          nullable: true
+        instructions:
+          description: Override the default system message of the assistant. This is useful for modifying the behavior on a per-run basis.
           type: string
-          default: json
-        temperature:
-          description: |
-            The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.
-          type: number
-          default: 0
+          nullable: true
+        tools:
+          description: Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis.
+          nullable: true
+          type: array
+          maxItems: 20
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsRetrieval"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
       required:
-        - file
-        - model
+        - thread_id
+        - assistant_id
 
-    # Note: This does not currently support the non-default response format types.
-    CreateTranslationResponse:
+    ThreadObject:
       type: object
+      title: Thread
+      description: Represents a thread that contains [messages](/docs/api-reference/messages).
       properties:
-        text:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
+          type: string
+        object:
+          description: The object type, which is always `thread`.
           type: string
+          enum: ["thread"]
+        created_at:
+          description: The Unix timestamp (in seconds) for when the thread was created.
+          type: integer
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
       required:
-        - text
+        - id
+        - object
+        - created_at
+        - metadata
+      x-oaiMeta:
+        name: The thread object
+        beta: true
+        example: |
+          {
+            "id": "thread_abc123",
+            "object": "thread",
+            "created_at": 1698107661,
+            "metadata": {}
+          }
 
-    Model:
-      title: Model
-      description: Describes an OpenAI model offering that can be used with the API.
+    CreateThreadRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        messages:
+          description: A list of [messages](/docs/api-reference/messages) to start the thread with.
+          type: array
+          items:
+            $ref: "#/components/schemas/CreateMessageRequest"
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
+
+    ModifyThreadRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
+
+    DeleteThreadResponse:
+      type: object
       properties:
         id:
           type: string
-          description: The model identifier, which can be referenced in the API endpoints.
+        deleted:
+          type: boolean
         object:
           type: string
-          description: The object type, which is always "model".
-        created:
-          type: integer
-          description: The Unix timestamp (in seconds) when the model was created.
-        owned_by:
-          type: string
-          description: The organization that owns the model.
+          enum: [thread.deleted]
       required:
         - id
         - object
-        - created
-        - owned_by
-      x-oaiMeta:
-        name: The model object
-        example: *retrieve_model_response
+        - deleted
 
-    OpenAIFile:
-      title: OpenAIFile
-      description: |
-        The `File` object represents a document that has been uploaded to OpenAI.
+    ListThreadsResponse:
+      properties:
+        object:
+          type: string
+          example: "list"
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/ThreadObject"
+        first_id:
+          type: string
+          example: "asst_abc123"
+        last_id:
+          type: string
+          example: "asst_abc456"
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+
+    MessageObject:
+      type: object
+      title: The message object
+      description: Represents a message within a [thread](/docs/api-reference/threads).
       properties:
         id:
+          description: The identifier, which can be referenced in API endpoints.
           type: string
-          description: The file identifier, which can be referenced in the API endpoints.
         object:
+          description: The object type, which is always `thread.message`.
           type: string
-          description: The object type, which is always "file".
-        bytes:
-          type: integer
-          description: The size of the file in bytes.
+          enum: ["thread.message"]
         created_at:
+          description: The Unix timestamp (in seconds) for when the message was created.
           type: integer
-          description: The Unix timestamp (in seconds) for when the file was created.
-        filename:
+        thread_id:
+          description: The [thread](/docs/api-reference/threads) ID that this message belongs to.
           type: string
-          description: The name of the file.
-        purpose:
+        role:
+          description: The entity that produced the message. One of `user` or `assistant`.
           type: string
-          description: The intended purpose of the file. Currently, only "fine-tune" is supported.
-        status:
+          enum: ["user", "assistant"]
+        content:
+          description: The content of the message in array of text and/or images.
+          type: array
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/MessageContentImageFileObject"
+              - $ref: "#/components/schemas/MessageContentTextObject"
+            x-oaiExpandable: true
+        assistant_id:
+          description: If applicable, the ID of the [assistant](/docs/api-reference/assistants) that authored this message.
           type: string
-          description: The current status of the file, which can be either `uploaded`, `processed`, `pending`, `error`, `deleting` or `deleted`.
-        status_details:
+          nullable: true
+        run_id:
+          description: If applicable, the ID of the [run](/docs/api-reference/runs) associated with the authoring of this message.
           type: string
           nullable: true
-          description: |
-            Additional details about the status of the file. If the file is in the `error` state, this will include a message describing the error.
+        file_ids:
+          description: A list of [file](/docs/api-reference/files) IDs that the assistant should use. Useful for tools like retrieval and code_interpreter that can access files. A maximum of 10 files can be attached to a message.
+          default: []
+          maxItems: 10
+          type: array
+          items:
+            type: string
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
       required:
         - id
         - object
-        - bytes
         - created_at
-        - filename
-        - purpose
-        - format
+        - thread_id
+        - role
+        - content
+        - assistant_id
+        - run_id
+        - file_ids
+        - metadata
       x-oaiMeta:
-        name: The file object
+        name: The message object
+        beta: true
         example: |
           {
-            "id": "file-abc123",
-            "object": "file",
-            "bytes": 120000,
-            "created_at": 1677610602,
-            "filename": "my_file.jsonl",
-            "purpose": "fine-tune",
-            "status": "uploaded",
-            "status_details": null
+            "id": "msg_abc123",
+            "object": "thread.message",
+            "created_at": 1698983503,
+            "thread_id": "thread_abc123",
+            "role": "assistant",
+            "content": [
+              {
+                "type": "text",
+                "text": {
+                  "value": "Hi! How can I help you today?",
+                  "annotations": []
+                }
+              }
+            ],
+            "file_ids": [],
+            "assistant_id": "asst_abc123",
+            "run_id": "run_abc123",
+            "metadata": {}
           }
-    Embedding:
+
+    CreateMessageRequest:
       type: object
-      description: |
-        Represents an embedding vector returned by embedding endpoint.
+      additionalProperties: false
+      required:
+        - role
+        - content
       properties:
-        index:
+        role:
+          type: string
+          enum: ["user"]
+          description: The role of the entity that is creating the message. Currently only `user` is supported.
+        content:
+          type: string
+          minLength: 1
+          maxLength: 32768
+          description: The content of the message.
+        file_ids:
+          description: A list of [File](/docs/api-reference/files) IDs that the message should use. There can be a maximum of 10 files attached to a message. Useful for tools like `retrieval` and `code_interpreter` that can access and use files.
+          default: []
+          type: array
+          minItems: 1
+          maxItems: 10
+          items:
+            type: string
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
+
+    ModifyMessageRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
+
+    DeleteMessageResponse:
+      type: object
+      properties:
+        id:
+          type: string
+        deleted:
+          type: boolean
+        object:
+          type: string
+          enum: [thread.message.deleted]
+      required:
+        - id
+        - object
+        - deleted
+
+    ListMessagesResponse:
+      properties:
+        object:
+          type: string
+          example: "list"
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/MessageObject"
+        first_id:
+          type: string
+          example: "msg_abc123"
+        last_id:
+          type: string
+          example: "msg_abc123"
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+
+    MessageContentImageFileObject:
+      title: Image file
+      type: object
+      description: References an image [File](/docs/api-reference/files) in the content of a message.
+      properties:
+        type:
+          description: Always `image_file`.
+          type: string
+          enum: ["image_file"]
+        image_file:
+          type: object
+          properties:
+            file_id:
+              description: The [File](/docs/api-reference/files) ID of the image in the message content.
+              type: string
+          required:
+            - file_id
+      required:
+        - type
+        - image_file
+
+    MessageContentTextObject:
+      title: Text
+      type: object
+      description: The text content that is part of a message.
+      properties:
+        type:
+          description: Always `text`.
+          type: string
+          enum: ["text"]
+        text:
+          type: object
+          properties:
+            value:
+              description: The data that makes up the text.
+              type: string
+            annotations:
+              type: array
+              items:
+                oneOf:
+                  - $ref: "#/components/schemas/MessageContentTextAnnotationsFileCitationObject"
+                  - $ref: "#/components/schemas/MessageContentTextAnnotationsFilePathObject"
+                x-oaiExpandable: true
+          required:
+            - value
+            - annotations
+      required:
+        - type
+        - text
+
+    MessageContentTextAnnotationsFileCitationObject:
+      title: File citation
+      type: object
+      description: A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "retrieval" tool to search files.
+      properties:
+        type:
+          description: Always `file_citation`.
+          type: string
+          enum: ["file_citation"]
+        text:
+          description: The text in the message content that needs to be replaced.
+          type: string
+        file_citation:
+          type: object
+          properties:
+            file_id:
+              description: The ID of the specific File the citation is from.
+              type: string
+            quote:
+              description: The specific quote in the file.
+              type: string
+          required:
+            - file_id
+            - quote
+        start_index:
+          type: integer
+          minimum: 0
+        end_index:
+          type: integer
+          minimum: 0
+      required:
+        - type
+        - text
+        - file_citation
+        - start_index
+        - end_index
+
+    MessageContentTextAnnotationsFilePathObject:
+      title: File path
+      type: object
+      description: A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file.
+      properties:
+        type:
+          description: Always `file_path`.
+          type: string
+          enum: ["file_path"]
+        text:
+          description: The text in the message content that needs to be replaced.
+          type: string
+        file_path:
+          type: object
+          properties:
+            file_id:
+              description: The ID of the file that was generated.
+              type: string
+          required:
+            - file_id
+        start_index:
+          type: integer
+          minimum: 0
+        end_index:
           type: integer
-          description: The index of the embedding in the list of embeddings.
-        object:
-          type: string
-          description: The object type, which is always "embedding".
-        embedding:
-          type: array
-          description: |
-            The embedding vector, which is a list of floats. The length of vector depends on the model as listed in the [embedding guide](/docs/guides/embeddings).
-          items:
-            type: number
+          minimum: 0
       required:
-        - index
-        - object
-        - embedding
-      x-oaiMeta:
-        name: The embedding object
-        example: |
-          {
-            "object": "embedding",
-            "embedding": [
-              0.0023064255,
-              -0.009327292,
-              .... (1536 floats total for ada-002)
-              -0.0028842222,
-            ],
-            "index": 0
-          }
+        - type
+        - text
+        - file_path
+        - start_index
+        - end_index
 
-    FineTuningJob:
-      title: FineTuningJob
+    RunStepObject:
+      type: object
+      title: Run steps
       description: |
-        The `fine_tuning.job` object represents a fine-tuning job that has been created through the API.
+        Represents a step in execution of a run.
       properties:
         id:
+          description: The identifier of the run step, which can be referenced in API endpoints.
           type: string
-          description: The object identifier, which can be referenced in the API endpoints.
         object:
+          description: The object type, which is always `thread.run.step`.
           type: string
-          description: The object type, which is always "fine_tuning.job".
+          enum: ["thread.run.step"]
         created_at:
+          description: The Unix timestamp (in seconds) for when the run step was created.
           type: integer
-          description: The Unix timestamp (in seconds) for when the fine-tuning job was created.
-        finished_at:
-          type: integer
-          nullable: true
-          description: The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running.
-        model:
+        assistant_id:
+          description: The ID of the [assistant](/docs/api-reference/assistants) associated with the run step.
           type: string
-          description: The base model that is being fine-tuned.
-        fine_tuned_model:
+        thread_id:
+          description: The ID of the [thread](/docs/api-reference/threads) that was run.
           type: string
-          nullable: true
-          description: The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.
-        organization_id:
+        run_id:
+          description: The ID of the [run](/docs/api-reference/runs) that this run step is a part of.
           type: string
-          description: The organization that owns the fine-tuning job.
+        type:
+          description: The type of run step, which can be either `message_creation` or `tool_calls`.
+          type: string
+          enum: ["message_creation", "tool_calls"]
         status:
+          description: The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`.
           type: string
-          description: The current status of the fine-tuning job, which can be either `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
-        hyperparameters:
+          enum: ["in_progress", "cancelled", "failed", "completed", "expired"]
+        step_details:
           type: object
-          description: The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
-          properties:
-            n_epochs:
-              oneOf:
-                - type: string
-                  enum: [auto]
-                - type: integer
-                  minimum: 1
-                  maximum: 50
-              default: auto
-              description:
-                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.
-          required:
-            - n_epochs
-        training_file:
-          type: string
-          description: The file ID used for training. You can retrieve the training data with the [Files API](/docs/api-reference/files/retrieve-contents).
-        validation_file:
-          type: string
-          nullable: true
-          description: The file ID used for validation. You can retrieve the validation results with the [Files API](/docs/api-reference/files/retrieve-contents).
-        result_files:
-          type: array
-          description: The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the [Files API](/docs/api-reference/files/retrieve-contents).
-          items:
-            type: string
-            example: file-abc123
-        trained_tokens:
-          type: integer
-          nullable: true
-          description: The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running.
-        error:
+          description: The details of the run step.
+          oneOf:
+            - $ref: "#/components/schemas/RunStepDetailsMessageCreationObject"
+            - $ref: "#/components/schemas/RunStepDetailsToolCallsObject"
+          x-oaiExpandable: true
+        last_error:
           type: object
+          description: The last error associated with this run step. Will be `null` if there are no errors.
           nullable: true
-          description: For fine-tuning jobs that have `failed`, this will contain more information on the cause of the failure.
           properties:
-            message:
-              type: string
-              description: A human-readable error message.
             code:
               type: string
-              description: A machine-readable error code.
-            param:
+              description: One of `server_error` or `rate_limit_exceeded`.
+              enum: ["server_error", "rate_limit_exceeded"]
+            message:
               type: string
-              description: The parameter that was invalid, usually `training_file` or `validation_file`. This field will be null if the failure was not parameter-specific.
-              nullable: true
+              description: A human-readable description of the error.
           required:
-            - message
             - code
-            - param
+            - message
+        expired_at:
+          description: The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired.
+          type: integer
+          nullable: true
+        cancelled_at:
+          description: The Unix timestamp (in seconds) for when the run step was cancelled.
+          type: integer
+          nullable: true
+        failed_at:
+          description: The Unix timestamp (in seconds) for when the run step failed.
+          type: integer
+          nullable: true
+        completed_at:
+          description: The Unix timestamp (in seconds) for when the run step completed.
+          type: integer
+          nullable: true
+        metadata:
+          description: *metadata_description
+          type: object
+          x-oaiTypeLabel: map
+          nullable: true
       required:
         - id
         - object
         - created_at
-        - finished_at
-        - model
-        - fine_tuned_model
-        - organization_id
+        - assistant_id
+        - thread_id
+        - run_id
+        - type
         - status
-        - hyperparameters
-        - training_file
-        - validation_file
-        - result_files
-        - trained_tokens
-        - error
+        - step_details
+        - last_error
+        - expired_at
+        - cancelled_at
+        - failed_at
+        - completed_at
+        - metadata
       x-oaiMeta:
-        name: The fine-tuning job object
-        example: *fine_tuning_example
+        name: The run step object
+        beta: true
+        example: *run_step_object_example
 
-    FineTuningEvent:
-      title: FineTuningEvent
+    ListRunStepsResponse:
       properties:
         object:
           type: string
-        created_at:
-          type: integer
-        level:
+          example: "list"
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/RunStepObject"
+        first_id:
           type: string
-        message:
+          example: "step_abc123"
+        last_id:
           type: string
-        data:
-          oneOf:
-              - type: string
-                default: none
-                enum: [none, string]
-        type:
-          oneOf:
-              - type: string
-                default: none
-                enum: ["message", "metrics"]
+          example: "step_abc456"
+        has_more:
+          type: boolean
+          example: false
       required:
         - object
-        - created_at
-        - level
-        - message
-      x-oiMeta:
-        name: The fine-tuning event object
-        example: |
-          {
-            "object": "fine_tuning.job.event",
-            "created_at": "1689376978",
-            "level": "info" | "warn" | "error",
-            "message": "<human-readable message>",
-            "data": null | JSON,
-            "type": "message"| "metrics"
-          }
+        - data
+        - first_id
+        - last_id
+        - has_more
 
-    FineTune:
-      title: FineTune
-      deprecated: true
-      description: |
-        The `FineTune` object represents a legacy fine-tune job that has been created through the API.
+    RunStepDetailsMessageCreationObject:
+      title: Message creation
+      type: object
+      description: Details of the message creation by the run step.
       properties:
-        id:
+        type:
+          description: Always `message_creation`.
           type: string
-          description: The object identifier, which can be referenced in the API endpoints.
-        object:
+          enum: ["message_creation"]
+        message_creation:
+          type: object
+          properties:
+            message_id:
+              type: string
+              description: The ID of the message that was created by this run step.
+          required:
+            - message_id
+      required:
+        - type
+        - message_creation
+
+    RunStepDetailsToolCallsObject:
+      title: Tool calls
+      type: object
+      description: Details of the tool call.
+      properties:
+        type:
+          description: Always `tool_calls`.
           type: string
-          description: The object type, which is always "fine-tune".
-        created_at:
-          type: integer
-          description: The Unix timestamp (in seconds) for when the fine-tuning job was created.
-        updated_at:
-          type: integer
-          description: The Unix timestamp (in seconds) for when the fine-tuning job was last updated.
-        model:
+          enum: ["tool_calls"]
+        tool_calls:
+          type: array
+          description: |
+            An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `retrieval`, or `function`.
+          items:
+            type: object
+            oneOf:
+              - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeObject"
+              - $ref: "#/components/schemas/RunStepDetailsToolCallsRetrievalObject"
+              - $ref: "#/components/schemas/RunStepDetailsToolCallsFunctionObject"
+            x-oaiExpandable: true
+      required:
+        - type
+        - tool_calls
+
+    RunStepDetailsToolCallsCodeObject:
+      title: Code interpreter tool call
+      type: object
+      description: Details of the Code Interpreter tool call the run step was involved in.
+      properties:
+        id:
           type: string
-          description: The base model that is being fine-tuned.
-        fine_tuned_model:
+          description: The ID of the tool call.
+        type:
           type: string
-          nullable: true
-          description: The name of the fine-tuned model that is being created.
-        organization_id:
+          description: The type of tool call. This is always going to be `code_interpreter` for this type of tool call.
+          enum: ["code_interpreter"]
+        code_interpreter:
+          type: object
+          description: The Code Interpreter tool call definition.
+          required:
+            - input
+            - outputs
+          properties:
+            input:
+              type: string
+              description: The input to the Code Interpreter tool call.
+            outputs:
+              type: array
+              description: The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type.
+              items:
+                type: object
+                oneOf:
+                  - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeOutputLogsObject"
+                  - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeOutputImageObject"
+                x-oaiExpandable: true
+      required:
+        - id
+        - type
+        - code_interpreter
+
+    RunStepDetailsToolCallsCodeOutputLogsObject:
+      title: Code interpreter log output
+      type: object
+      description: Text output from the Code Interpreter tool call as part of a run step.
+      properties:
+        type:
+          description: Always `logs`.
           type: string
-          description: The organization that owns the fine-tuning job.
-        status:
+          enum: ["logs"]
+        logs:
           type: string
-          description: The current status of the fine-tuning job, which can be either `created`, `running`, `succeeded`, `failed`, or `cancelled`.
-        hyperparams:
+          description: The text output from the Code Interpreter tool call.
+      required:
+        - type
+        - logs
+
+    RunStepDetailsToolCallsCodeOutputImageObject:
+      title: Code interpreter image output
+      type: object
+      properties:
+        type:
+          description: Always `image`.
+          type: string
+          enum: ["image"]
+        image:
           type: object
-          description: The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/legacy-fine-tuning/hyperparameters) for more details.
           properties:
-            n_epochs:
-              type: integer
-              description: |
-                The number of epochs to train the model for. An epoch refers to one
-                full cycle through the training dataset.
-            batch_size:
-              type: integer
-              description: |
-                The batch size to use for training. The batch size is the number of
-                training examples used to train a single forward and backward pass.
-            prompt_loss_weight:
-              type: number
-              description: |
-                The weight to use for loss on the prompt tokens.
-            learning_rate_multiplier:
-              type: number
-              description: |
-                The learning rate multiplier to use for training.
-            compute_classification_metrics:
-              type: boolean
-              description: |
-                The classification metrics to compute using the validation dataset at the end of every epoch.
-            classification_positive_class:
+            file_id:
+              description: The [file](/docs/api-reference/files) ID of the image.
+              type: string
+          required:
+            - file_id
+      required:
+        - type
+        - image
+
+    RunStepDetailsToolCallsRetrievalObject:
+      title: Retrieval tool call
+      type: object
+      properties:
+        id:
+          type: string
+          description: The ID of the tool call object.
+        type:
+          type: string
+          description: The type of tool call. This is always going to be `retrieval` for this type of tool call.
+          enum: ["retrieval"]
+        retrieval:
+          type: object
+          description: For now, this is always going to be an empty object.
+          x-oaiTypeLabel: map
+      required:
+        - id
+        - type
+        - retrieval
+
+    RunStepDetailsToolCallsFunctionObject:
+      type: object
+      title: Function tool call
+      properties:
+        id:
+          type: string
+          description: The ID of the tool call object.
+        type:
+          type: string
+          description: The type of tool call. This is always going to be `function` for this type of tool call.
+          enum: ["function"]
+        function:
+          type: object
+          description: The definition of the function that was called.
+          properties:
+            name:
               type: string
-              description: |
-                The positive class to use for computing classification metrics.
-            classification_n_classes:
-              type: integer
-              description: |
-                The number of classes to use for computing classification metrics.
+              description: The name of the function.
+            arguments:
+              type: string
+              description: The arguments passed to the function.
+            output:
+              type: string
+              description: The output of the function. This will be `null` if the outputs have not been [submitted](/docs/api-reference/runs/submitToolOutputs) yet.
+              nullable: true
           required:
-            - n_epochs
-            - batch_size
-            - prompt_loss_weight
-            - learning_rate_multiplier
-        training_files:
-          type: array
-          description: The list of files used for training.
-          items:
-            $ref: "#/components/schemas/OpenAIFile"
-        validation_files:
-          type: array
-          description: The list of files used for validation.
-          items:
-            $ref: "#/components/schemas/OpenAIFile"
-        result_files:
-          type: array
-          description: The compiled results files for the fine-tuning job.
-          items:
-            $ref: "#/components/schemas/OpenAIFile"
-        events:
-          type: array
-          description: The list of events that have been observed in the lifecycle of the FineTune job.
-          items:
-            $ref: "#/components/schemas/FineTuneEvent"
+            - name
+            - arguments
+            - output
       required:
         - id
-        - object
-        - created_at
-        - updated_at
-        - model
-        - fine_tuned_model
-        - organization_id
-        - status
-        - hyperparams
-        - training_files
-        - validation_files
-        - result_files
-      x-oaiMeta:
-        name: The fine-tune object
-        example: *fine_tune_example
+        - type
+        - function
 
-    FineTuningJobEvent:
-      title: FineTuningJobEvent
+    AssistantFileObject:
+      type: object
+      title: Assistant files
+      description: A list of [Files](/docs/api-reference/files) attached to an `assistant`.
       properties:
         id:
+          description: The identifier, which can be referenced in API endpoints.
           type: string
         object:
+          description: The object type, which is always `assistant.file`.
           type: string
+          enum: [assistant.file]
         created_at:
+          description: The Unix timestamp (in seconds) for when the assistant file was created.
           type: integer
-        level:
-          type: string
-          enum: ["info", "warn", "error"]
-        message:
+        assistant_id:
+          description: The assistant ID that the file is attached to.
           type: string
       required:
         - id
         - object
         - created_at
-        - level
-        - message
-      x-oiMeta:
-        name: The fine-tuning job event object
+        - assistant_id
+      x-oaiMeta:
+        name: The assistant file object
+        beta: true
         example: |
           {
-            "object": "event",
-            "id": "ftevent-abc123"
-            "created_at": 1677610602,
-            "level": "info",
-            "message": "Created fine-tuning job"
+            "id": "file-abc123",
+            "object": "assistant.file",
+            "created_at": 1699055364,
+            "assistant_id": "asst_abc123"
           }
 
-    FineTuneEvent:
-      title: FineTuneEvent
+    CreateAssistantFileRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        file_id:
+          description: A [File](/docs/api-reference/files) ID (with `purpose="assistants"`) that the assistant should use. Useful for tools like `retrieval` and `code_interpreter` that can access files.
+          type: string
+      required:
+        - file_id
+
+    DeleteAssistantFileResponse:
+      type: object
+      description: Deletes the association between the assistant and the file, but does not delete the [File](/docs/api-reference/files) object itself.
+      properties:
+        id:
+          type: string
+        deleted:
+          type: boolean
+        object:
+          type: string
+          enum: [assistant.file.deleted]
+      required:
+        - id
+        - object
+        - deleted
+    ListAssistantFilesResponse:
+      properties:
+        object:
+          type: string
+          example: "list"
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/AssistantFileObject"
+        first_id:
+          type: string
+          example: "file-abc123"
+        last_id:
+          type: string
+          example: "file-abc456"
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - items
+        - first_id
+        - last_id
+        - has_more
+
+    MessageFileObject:
+      type: object
+      title: Message files
+      description: A list of files attached to a `message`.
       properties:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
+          type: string
         object:
+          description: The object type, which is always `thread.message.file`.
           type: string
+          enum: ["thread.message.file"]
         created_at:
+          description: The Unix timestamp (in seconds) for when the message file was created.
           type: integer
-        level:
-          type: string
-        message:
+        message_id:
+          description: The ID of the [message](/docs/api-reference/messages) that the [File](/docs/api-reference/files) is attached to.
           type: string
       required:
+        - id
         - object
         - created_at
-        - level
-        - message
-      x-oiMeta:
-        name: The fine-tune event object
+        - message_id
+      x-oaiMeta:
+        name: The message file object
+        beta: true
         example: |
           {
-            "object": "event",
-            "created_at": 1677610602,
-            "level": "info",
-            "message": "Created fine-tune job"
+            "id": "file-abc123",
+            "object": "thread.message.file",
+            "created_at": 1698107661,
+            "message_id": "message_QLoItBbqwyAJEzlTy4y9kOMM",
+            "file_id": "file-abc123"
           }
-    CompletionUsage:
-      type: object
-      description: Usage statistics for the completion request.
+
+    ListMessageFilesResponse:
       properties:
-        prompt_tokens:
-          type: integer
-          description: Number of tokens in the prompt.
-        completion_tokens:
-          type: integer
-          description: Number of tokens in the generated completion.
-        total_tokens:
-          type: integer
-          description: Total number of tokens used in the request (prompt + completion).
+        object:
+          type: string
+          example: "list"
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/MessageFileObject"
+        first_id:
+          type: string
+          example: "file-abc123"
+        last_id:
+          type: string
+          example: "file-abc456"
+        has_more:
+          type: boolean
+          example: false
       required:
-        - prompt_tokens
-        - completion_tokens
-        - total_tokens
+        - object
+        - data
+        - items
+        - first_id
+        - last_id
+        - has_more
 
 security:
   - ApiKeyAuth: []
-
 x-oaiMeta:
   groups:
     # > General Notes
@@ -4141,10 +9347,13 @@ x-oaiMeta:
     - id: audio
       title: Audio
       description: |
-        Learn how to turn audio into text.
+        Learn how to turn audio into text or text into audio.
 
         Related guide: [Speech to text](/docs/guides/speech-to-text)
       sections:
+        - type: endpoint
+          key: createSpeech
+          path: createSpeech
         - type: endpoint
           key: createTranscription
           path: createTranscription
@@ -4156,7 +9365,7 @@ x-oaiMeta:
       description: |
         Given a list of messages comprising a conversation, the model will return a response.
 
-        Related guide: [Chat completions](/docs/guides/gpt)
+        Related guide: [Chat Completions](/docs/guides/text-generation)
       sections:
         - type: object
           key: CreateChatCompletionResponse
@@ -4167,20 +9376,6 @@ x-oaiMeta:
         - type: endpoint
           key: createChatCompletion
           path: create
-    - id: completions
-      title: Completions
-      legacy: true
-      description: |
-        Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position. We recommend most users use our Chat completions API. [Learn more](/docs/deprecations/2023-07-06-gpt-and-embeddings)
-
-        Related guide: [Legacy Completions](/docs/guides/gpt/completions-api)
-      sections:
-        - type: object
-          key: CreateCompletionResponse
-          path: object
-        - type: endpoint
-          key: createCompletion
-          path: create
     - id: embeddings
       title: Embeddings
       description: |
@@ -4199,29 +9394,33 @@ x-oaiMeta:
       description: |
         Manage fine-tuning jobs to tailor a model to your specific training data.
 
-        Related guide: [fine-tune models](/docs/guides/fine-tuning)
+        Related guide: [Fine-tune models](/docs/guides/fine-tuning)
       sections:
         - type: object
-          path: object
           key: FineTuningJob
+          path: object
         - type: endpoint
           key: createFineTuningJob
           path: create
         - type: endpoint
           key: listPaginatedFineTuningJobs
+          path: list
         - type: endpoint
           key: retrieveFineTuningJob
           path: retrieve
         - type: endpoint
           key: cancelFineTuningJob
           path: cancel
+        - type: object
+          key: FineTuningJobEvent
+          path: event-object
         - type: endpoint
           key: listFineTuningEvents
           path: list-events
     - id: files
       title: Files
       description: |
-        Files are used to upload documents that can be used with features like [fine-tuning](/docs/api-reference/fine-tuning).
+        Files are used to upload documents that can be used with features like [Assistants](/docs/api-reference/assistants) and [Fine-tuning](/docs/api-reference/fine-tuning).
       sections:
         - type: object
           key: OpenAIFile
@@ -4290,17 +9489,178 @@ x-oaiMeta:
         - type: endpoint
           key: createModeration
           path: create
+    - id: assistants
+      title: Assistants
+      beta: true
+      description: |
+        Build assistants that can call models and use tools to perform tasks.
+
+        [Get started with the Assistants API](/docs/assistants)
+      sections:
+        - type: object
+          key: AssistantObject
+          path: object
+        - type: endpoint
+          key: createAssistant
+          path: createAssistant
+        - type: endpoint
+          key: getAssistant
+          path: getAssistant
+        - type: endpoint
+          key: modifyAssistant
+          path: modifyAssistant
+        - type: endpoint
+          key: deleteAssistant
+          path: deleteAssistant
+        - type: endpoint
+          key: listAssistants
+          path: listAssistants
+        - type: object
+          key: AssistantFileObject
+          path: file-object
+        - type: endpoint
+          key: createAssistantFile
+          path: createAssistantFile
+        - type: endpoint
+          key: getAssistantFile
+          path: getAssistantFile
+        - type: endpoint
+          key: deleteAssistantFile
+          path: deleteAssistantFile
+        - type: endpoint
+          key: listAssistantFiles
+          path: listAssistantFiles
+    - id: threads
+      title: Threads
+      beta: true
+      description: |
+        Create threads that assistants can interact with.
+
+        Related guide: [Assistants](/docs/assistants/overview)
+      sections:
+        - type: object
+          key: ThreadObject
+          path: object
+        - type: endpoint
+          key: createThread
+          path: createThread
+        - type: endpoint
+          key: getThread
+          path: getThread
+        - type: endpoint
+          key: modifyThread
+          path: modifyThread
+        - type: endpoint
+          key: deleteThread
+          path: deleteThread
+    - id: messages
+      title: Messages
+      beta: true
+      description: |
+        Create messages within threads
+
+        Related guide: [Assistants](/docs/assistants/overview)
+      sections:
+        - type: object
+          key: MessageObject
+          path: object
+        - type: endpoint
+          key: createMessage
+          path: createMessage
+        - type: endpoint
+          key: getMessage
+          path: getMessage
+        - type: endpoint
+          key: modifyMessage
+          path: modifyMessage
+        - type: endpoint
+          key: listMessages
+          path: listMessages
+        - type: object
+          key: MessageFileObject
+          path: file-object
+        - type: endpoint
+          key: getMessageFile
+          path: getMessageFile
+        - type: endpoint
+          key: listMessageFiles
+          path: listMessageFiles
+    - id: runs
+      title: Runs
+      beta: true
+      description: |
+        Represents an execution run on a thread.
+
+        Related guide: [Assistants](/docs/assistants/overview)
+      sections:
+        - type: object
+          key: RunObject
+          path: object
+        - type: endpoint
+          key: createRun
+          path: createRun
+        - type: endpoint
+          key: getRun
+          path: getRun
+        - type: endpoint
+          key: modifyRun
+          path: modifyRun
+        - type: endpoint
+          key: listRuns
+          path: listRuns
+        - type: endpoint
+          key: submitToolOuputsToRun
+          path: submitToolOutputs
+        - type: endpoint
+          key: cancelRun
+          path: cancelRun
+        - type: endpoint
+          key: createThreadAndRun
+          path: createThreadAndRun
+        - type: object
+          key: RunStepObject
+          path: step-object
+        - type: endpoint
+          key: getRunStep
+          path: getRunStep
+        - type: endpoint
+          key: listRunSteps
+          path: listRunSteps
+    - id: completions
+      title: Completions
+      legacy: true
+      description: |
+        Given a prompt, the model will return one or more predicted completions along with the probabilities of alternative tokens at each position. Most developer should use our [Chat Completions API](/docs/guides/text-generation/text-generation-models) to leverage our best and newest models. Most models that support the legacy Completions endpoint [will be shut off on January 4th, 2024](/docs/deprecations/2023-07-06-gpt-and-embeddings).
+      sections:
+        - type: object
+          key: CreateCompletionResponse
+          path: object
+        - type: endpoint
+          key: createCompletion
+          path: create
+    - id: edits
+      title: Edits
+      deprecated: true
+      description: |
+        Given a prompt and an instruction, the model will return an edited version of the prompt. The Edits endpoint is deprecated will be [shut off on January 4th, 2024](/docs/deprecations/edit-models-endpoint).
+      sections:
+        - type: object
+          key: CreateEditResponse
+          path: object
+        - type: endpoint
+          key: createEdit
+          path: create
     - id: fine-tunes
       title: Fine-tunes
       deprecated: true
       description: |
-        Manage legacy fine-tuning jobs to tailor a model to your specific training data.
+        Manage fine-tuning jobs to tailor a model to your specific training data. The [updated Fine-tuning endpoint](/docs/guides/fine-tuning) offers more capabilites and newer models.
 
-        We recommend transitioning to the updating [fine-tuning API](/docs/guides/fine-tuning)
+        The Fine-tunes endpoint will be [shut off on January 4th, 2024](/docs/deprecations/2023-08-22-fine-tunes-endpoint).
       sections:
         - type: object
-          path: object
           key: FineTune
+          path: object
         - type: endpoint
           key: createFineTune
           path: create
@@ -4313,18 +9673,9 @@ x-oaiMeta:
         - type: endpoint
           key: cancelFineTune
           path: cancel
-        - type: endpoint
-          key: listFineTuneEvents
-          path: list-events
-    - id: edits
-      title: Edits
-      deprecated: true
-      description: |
-        Given a prompt and an instruction, the model will return an edited version of the prompt.
-      sections:
         - type: object
-          key: CreateEditResponse
-          path: object
+          key: FineTuneEvent
+          path: event-object
         - type: endpoint
-          key: createEdit
-          path: create
+          key: listFineTuneEvents
+          path: list-events
\ No newline at end of file