openapi.yaml

openapi: 3.0.0
info:
    title: Portkey API
    description: The Portkey REST API. Please see https://portkey.ai/docs/api-reference for more details.
    version: "2.0.0"
    termsOfService: https://portkey.ai/terms
    contact:
        name: Portkey Developer Forum
        url: https://portkey.ai/community
    license:
        name: MIT
        url: https://github.com/Portkey-AI/portkey-openapi/blob/master/LICENSE
servers:
    - url: https://api.portkey.ai/v1
tags:
    - name: Assistants
      description: Build Assistants that can call models and use tools.
    - name: Audio
      description: 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: Batch
      description: Create large batches of API requests to run asynchronously.
    - 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 potentially harmful.
    - name: Configs
      description: Create, List, Retrieve, and Update your Portkey Configs.
    - name: Feedback
      description: Send and Update any feedback.
    - name: Logs
      description: Send a new log to Portkey.
    - name: Prompts
      description: Given a prompt ID saved on Portkey, return a response or render the prompt data.
    - name: Virtual-keys
      description: Create, List, Retrieve, Update, and Delete your Portkey Virtual keys.
    - name: Users
      description: Create and manage users.
    - name: User-invites
      description: Create and manage user invites.
    - name: Workspaces
      description: Create and manage workspaces.
    - name: Workspaces > Members
      description: Create and manage workspace members.
    - name: Api-Keys
      description: Create, List, Retrieve, Update, and Delete your Portkey Api keys.
    - name: Logs Export
      description: Exports logs service .
x-codeSamples: false
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
    /chat/completions:
        post:
            operationId: createChatCompletion
            tags:
                - Chat
            summary: Creates a model response for the given chat conversation.
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            $ref: "#/components/schemas/CreateChatCompletionRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/CreateChatCompletionResponse"

            x-oaiMeta:
                name: Create chat completion
                group: chat
                returns: |
                    Returns a [chat completion](https://platform.openai.com/docs/api-reference/chat/object) object, or a streamed sequence of [chat completion chunk](https://platform.openai.com/docs/api-reference/chat/streaming) objects if the request is streamed.
                path: create
                examples:
                    - title: Default
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/chat/completions \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -d '{
                                  "model": "VAR_model_id",
                                  "messages": [
                                    {
                                      "role": "system",
                                      "content": "You are a helpful assistant."
                                    },
                                    {
                                      "role": "user",
                                      "content": "Hello!"
                                    }
                                  ]
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              completion = client.chat.completions.create(
                                model="VAR_model_id",
                                messages=[
                                  {"role": "system", "content": "You are a helpful assistant."},
                                  {"role": "user", "content": "Hello!"}
                                ]
                              )

                              print(completion.choices[0].message)
                          node.js: |-
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const completion = await client.chat.completions.create({
                                  messages: [{ role: "system", content: "You are a helpful assistant." }],
                                  model: "VAR_model_id",
                                });

                                console.log(completion.choices[0]);
                              }

                              main();
                      response: &chat_completion_example |
                          {
                            "id": "chatcmpl-123",
                            "object": "chat.completion",
                            "created": 1677652288,
                            "model": "gpt-3.5-turbo-0125",
                            "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.portkey.ai/v1/chat/completions \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -d '{
                                  "model": "gpt-4-turbo",
                                  "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 portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              response = client.chat.completions.create(
                                  model="gpt-4-turbo",
                                  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 Portkey from 'portkey-ai';
                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                try {
                                  const response = await client.chat.completions.create({
                                    model: "gpt-4-turbo",
                                    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]);
                                } catch (error) {
                                  console.error('Error making API request:', error);
                                }
                              }
                              main();
                      response: &chat_completion_image_example |
                          {
                            "id": "chatcmpl-123",
                            "object": "chat.completion",
                            "created": 1677652288,
                            "model": "gpt-3.5-turbo-0125",
                            "system_fingerprint": "fp_44709d6fcb",
                            "choices": [{
                              "index": 0,
                              "message": {
                                "role": "assistant",
                                "content": "\n\nThis image shows a wooden boardwalk extending through a lush green marshland.",
                              },
                              "logprobs": null,
                              "finish_reason": "stop"
                            }],
                            "usage": {
                              "prompt_tokens": 9,
                              "completion_tokens": 12,
                              "total_tokens": 21
                            }
                          }
                    - title: Streaming
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/chat/completions \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -d '{
                                  "model": "VAR_model_id",
                                  "messages": [
                                    {
                                      "role": "system",
                                      "content": "You are a helpful assistant."
                                    },
                                    {
                                      "role": "user",
                                      "content": "Hello!"
                                    }
                                  ],
                                  "stream": true
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              completion = client.chat.completions.create(
                                model="VAR_model_id",
                                messages=[
                                  {"role": "system", "content": "You are a helpful assistant."},
                                  {"role": "user", "content": "Hello!"}
                                ],
                                stream=True
                              )

                              for chunk in completion:
                                print(chunk.choices[0].delta)

                          node.js: |-
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const completion = await client.chat.completions.create({
                                  model: "VAR_model_id",
                                  messages: [
                                    {"role": "system", "content": "You are a helpful assistant."},
                                    {"role": "user", "content": "Hello!"}
                                  ],
                                  stream: true,
                                });

                                for await (const chunk of completion) {
                                  console.log(chunk.choices[0].delta.content);
                                }
                              }

                              main();
                      response: &chat_completion_chunk_example |
                          {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0125", "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-0125", "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-0125", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
                    - title: Functions
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/chat/completions \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -d '{
                                "model": "gpt-4-turbo",
                                "messages": [
                                  {
                                    "role": "user",
                                    "content": "What'\''s the weather like in Boston today?"
                                  }
                                ],
                                "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 portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              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 Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              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 client.chat.completions.create({
                                  model: "gpt-4-turbo",
                                  messages: messages,
                                  tools: tools,
                                  tool_choice: "auto",
                                });

                                console.log(response);
                              }

                              main();
                      response: &chat_completion_function_example |
                          {
                            "id": "chatcmpl-abc123",
                            "object": "chat.completion",
                            "created": 1699896916,
                            "model": "gpt-3.5-turbo-0125",
                            "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
                            }
                          }
                    - title: Logprobs
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/chat/completions \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -d '{
                                  "model": "VAR_model_id",
                                  "messages": [
                                    {
                                      "role": "user",
                                      "content": "Hello!"
                                    }
                                  ],
                                  "logprobs": true,
                                  "top_logprobs": 2
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              completion = client.chat.completions.create(
                                model="VAR_model_id",
                                messages=[
                                  {"role": "user", "content": "Hello!"}
                                ],
                                logprobs=True,
                                top_logprobs=2
                              )

                              print(completion.choices[0].message)
                              print(completion.choices[0].logprobs)
                          node.js: |-
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const completion = await client.chat.completions.create({
                                  messages: [{ role: "user", content: "Hello!" }],
                                  model: "VAR_model_id",
                                  logprobs: true,
                                  top_logprobs: 2,
                                });

                                console.log(completion.choices[0]);
                              }

                              main();
                      response: |
                          {
                            "id": "chatcmpl-123",
                            "object": "chat.completion",
                            "created": 1702685778,
                            "model": "gpt-3.5-turbo-0125",
                            "choices": [
                              {
                                "index": 0,
                                "message": {
                                  "role": "assistant",
                                  "content": "Hello! How can I assist you today?"
                                },
                                "logprobs": {
                                  "content": [
                                    {
                                      "token": "Hello",
                                      "logprob": -0.31725305,
                                      "bytes": [72, 101, 108, 108, 111],
                                      "top_logprobs": [
                                        {
                                          "token": "Hello",
                                          "logprob": -0.31725305,
                                          "bytes": [72, 101, 108, 108, 111]
                                        },
                                        {
                                          "token": "Hi",
                                          "logprob": -1.3190403,
                                          "bytes": [72, 105]
                                        }
                                      ]
                                    },
                                    {
                                      "token": "!",
                                      "logprob": -0.02380986,
                                      "bytes": [
                                        33
                                      ],
                                      "top_logprobs": [
                                        {
                                          "token": "!",
                                          "logprob": -0.02380986,
                                          "bytes": [33]
                                        },
                                        {
                                          "token": " there",
                                          "logprob": -3.787621,
                                          "bytes": [32, 116, 104, 101, 114, 101]
                                        }
                                      ]
                                    },
                                    {
                                      "token": " How",
                                      "logprob": -0.000054669687,
                                      "bytes": [32, 72, 111, 119],
                                      "top_logprobs": [
                                        {
                                          "token": " How",
                                          "logprob": -0.000054669687,
                                          "bytes": [32, 72, 111, 119]
                                        },
                                        {
                                          "token": "<|end|>",
                                          "logprob": -10.953937,
                                          "bytes": null
                                        }
                                      ]
                                    },
                                    {
                                      "token": " can",
                                      "logprob": -0.015801601,
                                      "bytes": [32, 99, 97, 110],
                                      "top_logprobs": [
                                        {
                                          "token": " can",
                                          "logprob": -0.015801601,
                                          "bytes": [32, 99, 97, 110]
                                        },
                                        {
                                          "token": " may",
                                          "logprob": -4.161023,
                                          "bytes": [32, 109, 97, 121]
                                        }
                                      ]
                                    },
                                    {
                                      "token": " I",
                                      "logprob": -3.7697225e-6,
                                      "bytes": [
                                        32,
                                        73
                                      ],
                                      "top_logprobs": [
                                        {
                                          "token": " I",
                                          "logprob": -3.7697225e-6,
                                          "bytes": [32, 73]
                                        },
                                        {
                                          "token": " assist",
                                          "logprob": -13.596657,
                                          "bytes": [32, 97, 115, 115, 105, 115, 116]
                                        }
                                      ]
                                    },
                                    {
                                      "token": " assist",
                                      "logprob": -0.04571125,
                                      "bytes": [32, 97, 115, 115, 105, 115, 116],
                                      "top_logprobs": [
                                        {
                                          "token": " assist",
                                          "logprob": -0.04571125,
                                          "bytes": [32, 97, 115, 115, 105, 115, 116]
                                        },
                                        {
                                          "token": " help",
                                          "logprob": -3.1089056,
                                          "bytes": [32, 104, 101, 108, 112]
                                        }
                                      ]
                                    },
                                    {
                                      "token": " you",
                                      "logprob": -5.4385737e-6,
                                      "bytes": [32, 121, 111, 117],
                                      "top_logprobs": [
                                        {
                                          "token": " you",
                                          "logprob": -5.4385737e-6,
                                          "bytes": [32, 121, 111, 117]
                                        },
                                        {
                                          "token": " today",
                                          "logprob": -12.807695,
                                          "bytes": [32, 116, 111, 100, 97, 121]
                                        }
                                      ]
                                    },
                                    {
                                      "token": " today",
                                      "logprob": -0.0040071653,
                                      "bytes": [32, 116, 111, 100, 97, 121],
                                      "top_logprobs": [
                                        {
                                          "token": " today",
                                          "logprob": -0.0040071653,
                                          "bytes": [32, 116, 111, 100, 97, 121]
                                        },
                                        {
                                          "token": "?",
                                          "logprob": -5.5247097,
                                          "bytes": [63]
                                        }
                                      ]
                                    },
                                    {
                                      "token": "?",
                                      "logprob": -0.0008108172,
                                      "bytes": [63],
                                      "top_logprobs": [
                                        {
                                          "token": "?",
                                          "logprob": -0.0008108172,
                                          "bytes": [63]
                                        },
                                        {
                                          "token": "?\n",
                                          "logprob": -7.184561,
                                          "bytes": [63, 10]
                                        }
                                      ]
                                    }
                                  ]
                                },
                                "finish_reason": "stop"
                              }
                            ],
                            "usage": {
                              "prompt_tokens": 9,
                              "completion_tokens": 9,
                              "total_tokens": 18
                            },
                            "system_fingerprint": null
                          }

    /completions:
        post:
            operationId: createCompletion
            tags:
                - Completions
            summary: Creates a completion for the provided prompt and parameters.
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            $ref: "#/components/schemas/CreateCompletionRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/CreateCompletionResponse"
            x-oaiMeta:
                name: Create completion
                group: completions
                returns: |
                    Returns a [completion](https://platform.openai.com/docs/api-reference/completions/object) object, or a sequence of completion objects if the request is streamed.
                legacy: true
                examples:
                    - title: No streaming
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/completions \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -d '{
                                  "model": "VAR_model_id",
                                  "prompt": "Say this is a test",
                                  "max_tokens": 7,
                                  "temperature": 0
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              client.completions.create(
                                model="VAR_model_id",
                                prompt="Say this is a test",
                                max_tokens=7,
                                temperature=0
                              )
                          node.js: |-
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const completion = await client.completions.create({
                                  model: "VAR_model_id",
                                  prompt: "Say this is a test.",
                                  max_tokens: 7,
                                  temperature: 0,
                                });

                                console.log(completion);
                              }
                              main();
                      response: |
                          {
                            "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7",
                            "object": "text_completion",
                            "created": 1589478378,
                            "model": "VAR_model_id",
                            "system_fingerprint": "fp_44709d6fcb",
                            "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
                            }
                          }
                    - title: Streaming
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/completions \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -d '{
                                  "model": "VAR_model_id",
                                  "prompt": "Say this is a test",
                                  "max_tokens": 7,
                                  "temperature": 0,
                                  "stream": true
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              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)
                          node.js: |-
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const stream = await client.completions.create({
                                  model: "VAR_model_id",
                                  prompt: "Say this is a test.",
                                  stream: true,
                                });

                                for await (const chunk of stream) {
                                  console.log(chunk.choices[0].text)
                                }
                              }
                              main();
                      response: |
                          {
                            "id": "cmpl-7iA7iJjj8V2zOkCGvWF2hAkDWBQZe",
                            "object": "text_completion",
                            "created": 1690759702,
                            "choices": [
                              {
                                "text": "This",
                                "index": 0,
                                "logprobs": null,
                                "finish_reason": null
                              }
                            ],
                            "model": "gpt-3.5-turbo-instruct"
                            "system_fingerprint": "fp_44709d6fcb",
                          }

    /images/generations:
        post:
            operationId: createImage
            tags:
                - Images
            summary: Creates an image given a prompt.
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            $ref: "#/components/schemas/CreateImageRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/ImagesResponse"
            x-oaiMeta:
                name: Create image
                group: images
                returns: Returns a list of [image](https://platform.openai.com/docs/api-reference/images/object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/images/generations \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -d '{
                                "model": "dall-e-3",
                                "prompt": "A cute baby sea otter",
                                "n": 1,
                                "size": "1024x1024"
                              }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.images.generate(
                              model="dall-e-3",
                              prompt="A cute baby sea otter",
                              n=1,
                              size="1024x1024"
                            )
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const image = await client.images.generate({ model: "dall-e-3", prompt: "A cute baby sea otter" });

                              console.log(image.data);
                            }
                            main();
                    response: |
                        {
                          "created": 1589478378,
                          "data": [
                            {
                              "url": "https://..."
                            },
                            {
                              "url": "https://..."
                            }
                          ]
                        }
    /images/edits:
        post:
            operationId: createImageEdit
            tags:
                - Images
            summary: Creates an edited or extended image given an original image and a prompt.
            requestBody:
                required: true
                content:
                    multipart/form-data:
                        schema:
                            $ref: "#/components/schemas/CreateImageEditRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/ImagesResponse"
            x-oaiMeta:
                name: Create image edit
                group: images
                returns: Returns a list of [image](https://platform.openai.com/docs/api-reference/images/object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/images/edits \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -F image="@otter.png" \
                              -F mask="@mask.png" \
                              -F prompt="A cute baby sea otter wearing a beret" \
                              -F n=2 \
                              -F size="1024x1024"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.images.edit(
                              image=open("otter.png", "rb"),
                              mask=open("mask.png", "rb"),
                              prompt="A cute baby sea otter wearing a beret",
                              n=2,
                              size="1024x1024"
                            )
                        node.js: |-
                            import fs from "fs";
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const image = await client.images.edit({
                                image: fs.createReadStream("otter.png"),
                                mask: fs.createReadStream("mask.png"),
                                prompt: "A cute baby sea otter wearing a beret",
                              });

                              console.log(image.data);
                            }
                            main();
                    response: |
                        {
                          "created": 1589478378,
                          "data": [
                            {
                              "url": "https://..."
                            },
                            {
                              "url": "https://..."
                            }
                          ]
                        }
    /images/variations:
        post:
            operationId: createImageVariation
            tags:
                - Images
            summary: Creates a variation of a given image.
            requestBody:
                required: true
                content:
                    multipart/form-data:
                        schema:
                            $ref: "#/components/schemas/CreateImageVariationRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/ImagesResponse"
            x-oaiMeta:
                name: Create image variation
                group: images
                returns: Returns a list of [image](https://platform.openai.com/docs/api-reference/images/object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/images/variations \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -F image="@otter.png" \
                              -F n=2 \
                              -F size="1024x1024"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            response = client.images.create_variation(
                              image=open("image_edit_original.png", "rb"),
                              n=2,
                              size="1024x1024"
                            )
                        node.js: |-
                            import fs from "fs";
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const image = await client.images.createVariation({
                                image: fs.createReadStream("otter.png"),
                              });

                              console.log(image.data);
                            }
                            main();
                    response: |
                        {
                          "created": 1589478378,
                          "data": [
                            {
                              "url": "https://..."
                            },
                            {
                              "url": "https://..."
                            }
                          ]
                        }

    /embeddings:
        post:
            operationId: createEmbedding
            tags:
                - Embeddings
            summary: Creates an embedding vector representing the input text.
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            $ref: "#/components/schemas/CreateEmbeddingRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/CreateEmbeddingResponse"
            x-oaiMeta:
                name: Create embeddings
                group: embeddings
                returns: A list of [embedding](https://platform.openai.com/docs/api-reference/embeddings/object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/embeddings \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -d '{
                                "input": "The food was delicious and the waiter...",
                                "model": "text-embedding-ada-002",
                                "encoding_format": "float"
                              }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.embeddings.create(
                              model="text-embedding-ada-002",
                              input="The food was delicious and the waiter...",
                              encoding_format="float"
                            )
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const embedding = await client.embeddings.create({
                                model: "text-embedding-ada-002",
                                input: "The quick brown fox jumped over the lazy dog",
                                encoding_format: "float",
                              });

                              console.log(embedding);
                            }

                            main();
                    response: |
                        {
                          "object": "list",
                          "data": [
                            {
                              "object": "embedding",
                              "embedding": [
                                0.0023064255,
                                -0.009327292,
                                .... (1536 floats total for ada-002)
                                -0.0028842222,
                              ],
                              "index": 0
                            }
                          ],
                          "model": "text-embedding-ada-002",
                          "usage": {
                            "prompt_tokens": 8,
                            "total_tokens": 8
                          }
                        }

    /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.portkey.ai/v1/audio/speech \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_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
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            speech_file_path = Path(__file__).parent / "speech.mp3"
                            response = client.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 Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            const speechFile = path.resolve("./speech.mp3");

                            async function main() {
                              const mp3 = await client.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:
                - Audio
            summary: Transcribes audio into the input language.
            requestBody:
                required: true
                content:
                    multipart/form-data:
                        schema:
                            $ref: "#/components/schemas/CreateTranscriptionRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                oneOf:
                                    - $ref: "#/components/schemas/CreateTranscriptionResponseJson"
                                    - $ref: "#/components/schemas/CreateTranscriptionResponseVerboseJson"
            x-oaiMeta:
                name: Create transcription
                group: audio
                returns: The [transcription object](https://platform.openai.com/docs/api-reference/audio/json-object) or a [verbose transcription object](https://platform.openai.com/docs/api-reference/audio/verbose-json-object).
                examples:
                    - title: Default
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/audio/transcriptions \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: multipart/form-data" \
                                -F file="@/path/to/file/audio.mp3" \
                                -F model="whisper-1"
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              audio_file = open("speech.mp3", "rb")
                              transcript = client.audio.transcriptions.create(
                                model="whisper-1",
                                file=audio_file
                              )
                          node: |
                              import fs from "fs";
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const transcription = await client.audio.transcriptions.create({
                                  file: fs.createReadStream("audio.mp3"),
                                  model: "whisper-1",
                                });

                                console.log(transcription.text);
                              }
                              main();
                      response: &basic_transcription_response_example |
                          {
                            "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."
                          }
                    - title: Word timestamps
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/audio/transcriptions \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: multipart/form-data" \
                                -F file="@/path/to/file/audio.mp3" \
                                -F "timestamp_granularities[]=word" \
                                -F model="whisper-1" \
                                -F response_format="verbose_json"
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              audio_file = open("speech.mp3", "rb")
                              transcript = client.audio.transcriptions.create(
                                file=audio_file,
                                model="whisper-1",
                                response_format="verbose_json",
                                timestamp_granularities=["word"]
                              )

                              print(transcript.words)
                          node: |
                              import fs from "fs";
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const transcription = await client.audio.transcriptions.create({
                                  file: fs.createReadStream("audio.mp3"),
                                  model: "whisper-1",
                                  response_format: "verbose_json",
                                  timestamp_granularities: ["word"]
                                });

                                console.log(transcription.text);
                              }
                              main();
                      response: |
                          {
                            "task": "transcribe",
                            "language": "english",
                            "duration": 8.470000267028809,
                            "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.",
                            "words": [
                              {
                                "word": "The",
                                "start": 0.0,
                                "end": 0.23999999463558197
                              },
                              ...
                              {
                                "word": "volleyball",
                                "start": 7.400000095367432,
                                "end": 7.900000095367432
                              }
                            ]
                          }
                    - title: Segment timestamps
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/audio/transcriptions \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: multipart/form-data" \
                                -F file="@/path/to/file/audio.mp3" \
                                -F "timestamp_granularities[]=segment" \
                                -F model="whisper-1" \
                                -F response_format="verbose_json"
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              audio_file = open("speech.mp3", "rb")
                              transcript = client.audio.transcriptions.create(
                                file=audio_file,
                                model="whisper-1",
                                response_format="verbose_json",
                                timestamp_granularities=["segment"]
                              )

                              print(transcript.words)
                          node: |
                              import fs from "fs";
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const transcription = await client.audio.transcriptions.create({
                                  file: fs.createReadStream("audio.mp3"),
                                  model: "whisper-1",
                                  response_format: "verbose_json",
                                  timestamp_granularities: ["segment"]
                                });

                                console.log(transcription.text);
                              }
                              main();
                      response: &verbose_transcription_response_example |
                          {
                            "task": "transcribe",
                            "language": "english",
                            "duration": 8.470000267028809,
                            "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.",
                            "segments": [
                              {
                                "id": 0,
                                "seek": 0,
                                "start": 0.0,
                                "end": 3.319999933242798,
                                "text": " The beach was a popular spot on a hot summer day.",
                                "tokens": [
                                  50364, 440, 7534, 390, 257, 3743, 4008, 322, 257, 2368, 4266, 786, 13, 50530
                                ],
                                "temperature": 0.0,
                                "avg_logprob": -0.2860786020755768,
                                "compression_ratio": 1.2363636493682861,
                                "no_speech_prob": 0.00985979475080967
                              },
                              ...
                            ]
                          }
    /audio/translations:
        post:
            operationId: createTranslation
            tags:
                - Audio
            summary: Translates audio into English.
            requestBody:
                required: true
                content:
                    multipart/form-data:
                        schema:
                            $ref: "#/components/schemas/CreateTranslationRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                oneOf:
                                    - $ref: "#/components/schemas/CreateTranslationResponseJson"
                                    - $ref: "#/components/schemas/CreateTranslationResponseVerboseJson"
            x-oaiMeta:
                name: Create translation
                group: audio
                returns: The translated text.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/audio/translations \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: multipart/form-data" \
                              -F file="@/path/to/file/german.m4a" \
                              -F model="whisper-1"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            audio_file = open("speech.mp3", "rb")
                            transcript = client.audio.translations.create(
                              model="whisper-1",
                              file=audio_file
                            )
                        node: |
                            import fs from "fs";
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                                const translation = await client.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?"
                        }

    /files:
        get:
            operationId: listFiles
            tags:
                - 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
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/ListFilesResponse"
            x-oaiMeta:
                name: List files
                group: files
                returns: A list of [File](https://platform.openai.com/docs/api-reference/files/object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/files \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.files.list()
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const list = await client.files.list();

                              for await (const file of list) {
                                console.log(file);
                              }
                            }

                            main();
                    response: |
                        {
                          "data": [
                            {
                              "id": "file-abc123",
                              "object": "file",
                              "bytes": 175,
                              "created_at": 1613677385,
                              "filename": "salesOverview.pdf",
                              "purpose": "assistants",
                            },
                            {
                              "id": "file-abc123",
                              "object": "file",
                              "bytes": 140,
                              "created_at": 1613779121,
                              "filename": "puppy.jsonl",
                              "purpose": "fine-tune",
                            }
                          ],
                          "object": "list"
                        }
        post:
            operationId: createFile
            tags:
                - Files
            summary: |
              Upload a file that can be used across various endpoints.
            requestBody:
                required: true
                content:
                    multipart/form-data:
                        schema:
                            $ref: "#/components/schemas/CreateFileRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/OpenAIFile"
            x-oaiMeta:
                name: Upload file
                group: files
                returns: The uploaded [File](https://platform.openai.com/docs/api-reference/files/object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/files \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -F purpose="fine-tune" \
                              -F file="@mydata.jsonl"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.files.create(
                              file=open("mydata.jsonl", "rb"),
                              purpose="fine-tune"
                            )
                        node.js: |-
                            import fs from "fs";
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const file = await client.files.create({
                                file: fs.createReadStream("mydata.jsonl"),
                                purpose: "fine-tune",
                              });

                              console.log(file);
                            }

                            main();
                    response: |
                        {
                          "id": "file-abc123",
                          "object": "file",
                          "bytes": 120000,
                          "created_at": 1677610602,
                          "filename": "mydata.jsonl",
                          "purpose": "fine-tune",
                        }
    /files/{file_id}:
        delete:
            operationId: deleteFile
            tags:
                - Files
            summary: Delete a file.
            parameters:
                - in: path
                  name: file_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the file to use for this request.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/DeleteFileResponse"
            x-oaiMeta:
                name: Delete file
                group: files
                returns: Deletion status.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/files/file-abc123 \
                              -X DELETE \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.files.delete("file-abc123")
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const file = await client.files.del("file-abc123");

                              console.log(file);
                            }

                            main();
                    response: |
                        {
                          "id": "file-abc123",
                          "object": "file",
                          "deleted": true
                        }
        get:
            operationId: retrieveFile
            tags:
                - Files
            summary: Returns information about a specific file.
            parameters:
                - in: path
                  name: file_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the file to use for this request.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/OpenAIFile"
            x-oaiMeta:
                name: Retrieve file
                group: files
                returns: The [File](https://platform.openai.com/docs/api-reference/files/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/files/file-abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.files.retrieve("file-abc123")
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const file = await client.files.retrieve("file-abc123");

                              console.log(file);
                            }

                            main();
                    response: |
                        {
                          "id": "file-abc123",
                          "object": "file",
                          "bytes": 120000,
                          "created_at": 1677610602,
                          "filename": "mydata.jsonl",
                          "purpose": "fine-tune",
                        }
    /files/{file_id}/content:
        get:
            operationId: downloadFile
            tags:
                - Files
            summary: Returns the contents of the specified file.
            parameters:
                - in: path
                  name: file_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the file to use for this request.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                type: string
            x-oaiMeta:
                name: Retrieve file content
                group: files
                returns: The file content.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/files/file-abc123/content \
                            -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                            -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" > file.jsonl
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            content = client.files.content("file-abc123")
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const file = await client.files.content("file-abc123");

                              console.log(file);
                            }

                            main();

    /fine_tuning/jobs:
        post:
            operationId: createFineTuningJob
            tags:
                - Fine-tuning
            summary: |
                Creates a fine-tuning job which begins the process of creating a new model from a given dataset.
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            $ref: "#/components/schemas/CreateFineTuningJobRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/FineTuningJob"
            x-oaiMeta:
                name: Create fine-tuning job
                group: fine-tuning
                returns: A [fine-tuning.job](https://platform.openai.com/docs/api-reference/fine-tuning/object) object.
                examples:
                    - title: Default
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/fine_tuning/jobs \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -d '{
                                  "training_file": "file-BK7bzQj3FfZFXr7DbL6xJwfo",
                                  "model": "gpt-3.5-turbo"
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              client.fine_tuning.jobs.create(
                                training_file="file-abc123",
                                model="gpt-3.5-turbo"
                              )
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const fineTune = await client.fineTuning.jobs.create({
                                  training_file: "file-abc123"
                                });

                                console.log(fineTune);
                              }

                              main();
                      response: |
                          {
                            "object": "fine_tuning.job",
                            "id": "ftjob-abc123",
                            "model": "gpt-3.5-turbo-0125",
                            "created_at": 1614807352,
                            "fine_tuned_model": null,
                            "organization_id": "org-123",
                            "result_files": [],
                            "status": "queued",
                            "validation_file": null,
                            "training_file": "file-abc123",
                          }
                    - title: Epochs
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/fine_tuning/jobs \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -d '{
                                  "training_file": "file-abc123",
                                  "model": "gpt-3.5-turbo",
                                  "hyperparameters": {
                                    "n_epochs": 2
                                  }
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              client.fine_tuning.jobs.create(
                                training_file="file-abc123",
                                model="gpt-3.5-turbo",
                                hyperparameters={
                                  "n_epochs":2
                                }
                              )
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const fineTune = await client.fineTuning.jobs.create({
                                  training_file: "file-abc123",
                                  model: "gpt-3.5-turbo",
                                  hyperparameters: { n_epochs: 2 }
                                });

                                console.log(fineTune);
                              }

                              main();
                      response: |
                          {
                            "object": "fine_tuning.job",
                            "id": "ftjob-abc123",
                            "model": "gpt-3.5-turbo-0125",
                            "created_at": 1614807352,
                            "fine_tuned_model": null,
                            "organization_id": "org-123",
                            "result_files": [],
                            "status": "queued",
                            "validation_file": null,
                            "training_file": "file-abc123",
                            "hyperparameters": {"n_epochs": 2},
                          }
                    - title: Validation file
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/fine_tuning/jobs \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -d '{
                                  "training_file": "file-abc123",
                                  "validation_file": "file-abc123",
                                  "model": "gpt-3.5-turbo"
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              client.fine_tuning.jobs.create(
                                training_file="file-abc123",
                                validation_file="file-def456",
                                model="gpt-3.5-turbo"
                              )
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const fineTune = await client.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-0125",
                            "created_at": 1614807352,
                            "fine_tuned_model": null,
                            "organization_id": "org-123",
                            "result_files": [],
                            "status": "queued",
                            "validation_file": "file-abc123",
                            "training_file": "file-abc123",
                          }
                    - title: W&B Integration
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/fine_tuning/jobs \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -d '{
                                  "training_file": "file-abc123",
                                  "validation_file": "file-abc123",
                                  "model": "gpt-3.5-turbo",
                                  "integrations": [
                                    {
                                      "type": "wandb",
                                      "wandb": {
                                        "project": "my-wandb-project",
                                        "name": "ft-run-display-name"
                                        "tags": [
                                          "first-experiment", "v2"
                                        ]
                                      }
                                    }
                                  ]
                                }'
                      response: |
                          {
                            "object": "fine_tuning.job",
                            "id": "ftjob-abc123",
                            "model": "gpt-3.5-turbo-0125",
                            "created_at": 1614807352,
                            "fine_tuned_model": null,
                            "organization_id": "org-123",
                            "result_files": [],
                            "status": "queued",
                            "validation_file": "file-abc123",
                            "training_file": "file-abc123",
                            "integrations": [
                              {
                                "type": "wandb",
                                "wandb": {
                                  "project": "my-wandb-project",
                                  "entity": None,
                                  "run_id": "ftjob-abc123"
                                }
                              }
                            ]
                          }
        get:
            operationId: listPaginatedFineTuningJobs
            tags:
                - Fine-tuning
            summary: |
                List your organization's fine-tuning jobs
            parameters:
                - name: after
                  in: query
                  description: Identifier for the last job from the previous pagination request.
                  required: false
                  schema:
                      type: string
                - name: limit
                  in: query
                  description: Number of fine-tuning jobs to retrieve.
                  required: false
                  schema:
                      type: integer
                      default: 20
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/ListPaginatedFineTuningJobsResponse"
            x-oaiMeta:
                name: List fine-tuning jobs
                group: fine-tuning
                returns: A list of paginated [fine-tuning job](https://platform.openai.com/docs/api-reference/fine-tuning/object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/fine_tuning/jobs?limit=2 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.fine_tuning.jobs.list()
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const list = await client.fineTuning.jobs.list();

                              for await (const fineTune of list) {
                                console.log(fineTune);
                              }
                            }

                            main();
                    response: |
                        {
                          "object": "list",
                          "data": [
                            {
                              "object": "fine_tuning.job.event",
                              "id": "ft-event-TjX0lMfOniCZX64t9PUQT5hn",
                              "created_at": 1689813489,
                              "level": "warn",
                              "message": "Fine tuning process stopping due to job cancellation",
                              "data": null,
                              "type": "message"
                            },
                            { ... },
                            { ... }
                          ], "has_more": true
                        }
    /fine_tuning/jobs/{fine_tuning_job_id}:
        get:
            operationId: retrieveFineTuningJob
            tags:
                - Fine-tuning
            summary: |
                Get info about a fine-tuning job.

                [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
            parameters:
                - in: path
                  name: fine_tuning_job_id
                  required: true
                  schema:
                      type: string
                      example: ft-AF1WoRqd3aJAHsqc9NY7iL8F
                  description: |
                      The ID of the fine-tuning job.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/FineTuningJob"
            x-oaiMeta:
                name: Retrieve fine-tuning job
                group: fine-tuning
                returns: The [fine-tuning](https://platform.openai.com/docs/api-reference/fine-tuning/object) object with the given ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/fine_tuning/jobs/ft-AF1WoRqd3aJAHsqc9NY7iL8F \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.fine_tuning.jobs.retrieve("ftjob-abc123")
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const fineTune = await client.fineTuning.jobs.retrieve("ftjob-abc123");

                              console.log(fineTune);
                            }

                            main();
                    response: &fine_tuning_example |
                        {
                          "object": "fine_tuning.job",
                          "id": "ftjob-abc123",
                          "model": "davinci-002",
                          "created_at": 1692661014,
                          "finished_at": 1692661190,
                          "fine_tuned_model": "ft:davinci-002:my-org:custom_suffix:7q8mpxmy",
                          "organization_id": "org-123",
                          "result_files": [
                              "file-abc123"
                          ],
                          "status": "succeeded",
                          "validation_file": null,
                          "training_file": "file-abc123",
                          "hyperparameters": {
                              "n_epochs": 4,
                              "batch_size": 1,
                              "learning_rate_multiplier": 1.0
                          },
                          "trained_tokens": 5768,
                          "integrations": [],
                          "seed": 0,
                          "estimated_finish": 0
                        }
    /fine_tuning/jobs/{fine_tuning_job_id}/events:
        get:
            operationId: listFineTuningEvents
            tags:
                - Fine-tuning
            summary: |
                Get status updates for a fine-tuning job.
            parameters:
                - in: path
                  name: fine_tuning_job_id
                  required: true
                  schema:
                      type: string
                      example: ft-AF1WoRqd3aJAHsqc9NY7iL8F
                  description: |
                      The ID of the fine-tuning job to get events for.
                - name: after
                  in: query
                  description: Identifier for the last event from the previous pagination request.
                  required: false
                  schema:
                      type: string
                - name: limit
                  in: query
                  description: Number of events to retrieve.
                  required: false
                  schema:
                      type: integer
                      default: 20
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $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.portkey.ai/v1/fine_tuning/jobs/ftjob-abc123/events \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.fine_tuning.jobs.list_events(
                              fine_tuning_job_id="ftjob-abc123",
                              limit=2
                            )
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const list = await client.fineTuning.list_events(id="ftjob-abc123", limit=2);

                              for await (const fineTune of list) {
                                console.log(fineTune);
                              }
                            }

                            main();
                    response: |
                        {
                          "object": "list",
                          "data": [
                            {
                              "object": "fine_tuning.job.event",
                              "id": "ft-event-ddTJfwuMVpfLXseO0Am0Gqjm",
                              "created_at": 1692407401,
                              "level": "info",
                              "message": "Fine tuning job successfully completed",
                              "data": null,
                              "type": "message"
                            },
                            {
                              "object": "fine_tuning.job.event",
                              "id": "ft-event-tyiGuB72evQncpH87xe505Sv",
                              "created_at": 1692407400,
                              "level": "info",
                              "message": "New fine-tuned model created: ft:gpt-3.5-turbo:openai::7p4lURel",
                              "data": null,
                              "type": "message"
                            }
                          ],
                          "has_more": true
                        }
    /fine_tuning/jobs/{fine_tuning_job_id}/cancel:
        post:
            operationId: cancelFineTuningJob
            tags:
                - Fine-tuning
            summary: |
                Immediately cancel a fine-tune job.
            parameters:
                - in: path
                  name: fine_tuning_job_id
                  required: true
                  schema:
                      type: string
                      example: ft-AF1WoRqd3aJAHsqc9NY7iL8F
                  description: |
                      The ID of the fine-tuning job to cancel.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/FineTuningJob"
            x-oaiMeta:
                name: Cancel fine-tuning
                group: fine-tuning
                returns: The cancelled [fine-tuning](https://platform.openai.com/docs/api-reference/fine-tuning/object) object.
                examples:
                    request:
                        curl: |
                            curl -X POST https://api.portkey.ai/v1/fine_tuning/jobs/ftjob-abc123/cancel \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.fine_tuning.jobs.cancel("ftjob-abc123")
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const fineTune = await client.fineTuning.jobs.cancel("ftjob-abc123");

                              console.log(fineTune);
                            }
                            main();
                    response: |
                        {
                          "object": "fine_tuning.job",
                          "id": "ftjob-abc123",
                          "model": "gpt-3.5-turbo-0125",
                          "created_at": 1689376978,
                          "fine_tuned_model": null,
                          "organization_id": "org-123",
                          "result_files": [],
                          "hyperparameters": {
                            "n_epochs":  "auto"
                          },
                          "status": "cancelled",
                          "validation_file": "file-abc123",
                          "training_file": "file-abc123"
                        }
    /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints:
        get:
            operationId: listFineTuningJobCheckpoints
            tags:
                - Fine-tuning
            summary: |
                List checkpoints for a fine-tuning job.
            parameters:
                - in: path
                  name: fine_tuning_job_id
                  required: true
                  schema:
                      type: string
                      example: ft-AF1WoRqd3aJAHsqc9NY7iL8F
                  description: |
                      The ID of the fine-tuning job to get checkpoints for.
                - name: after
                  in: query
                  description: Identifier for the last checkpoint ID from the previous pagination request.
                  required: false
                  schema:
                      type: string
                - name: limit
                  in: query
                  description: Number of checkpoints to retrieve.
                  required: false
                  schema:
                      type: integer
                      default: 10
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/ListFineTuningJobCheckpointsResponse"
            x-oaiMeta:
                name: List fine-tuning checkpoints
                group: fine-tuning
                returns: A list of fine-tuning [checkpoint objects](https://platform.openai.com/docs/api-reference/fine-tuning/checkpoint-object) for a fine-tuning job.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/fine_tuning/jobs/ftjob-abc123/checkpoints \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY"
                    response: |
                        {
                          "object": "list"
                          "data": [
                            {
                              "object": "fine_tuning.job.checkpoint",
                              "id": "ftckpt_zc4Q7MP6XxulcVzj4MZdwsAB",
                              "created_at": 1519129973,
                              "fine_tuned_model_checkpoint": "ft:gpt-3.5-turbo-0125:my-org:custom-suffix:96olL566:ckpt-step-2000",
                              "metrics": {
                                "full_valid_loss": 0.134,
                                "full_valid_mean_token_accuracy": 0.874
                              },
                              "fine_tuning_job_id": "ftjob-abc123",
                              "step_number": 2000,
                            },
                            {
                              "object": "fine_tuning.job.checkpoint",
                              "id": "ftckpt_enQCFmOTGj3syEpYVhBRLTSy",
                              "created_at": 1519129833,
                              "fine_tuned_model_checkpoint": "ft:gpt-3.5-turbo-0125:my-org:custom-suffix:7q8mpxmy:ckpt-step-1000",
                              "metrics": {
                                "full_valid_loss": 0.167,
                                "full_valid_mean_token_accuracy": 0.781
                              },
                              "fine_tuning_job_id": "ftjob-abc123",
                              "step_number": 1000,
                            },
                          ],
                          "first_id": "ftckpt_zc4Q7MP6XxulcVzj4MZdwsAB",
                          "last_id": "ftckpt_enQCFmOTGj3syEpYVhBRLTSy",
                          "has_more": true
                        }

    /models:
        get:
            operationId: listModels
            tags:
                - Models
            summary: Lists the currently available models, and provides basic information about each one such as the owner and availability.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/ListModelsResponse"
            x-oaiMeta:
                name: List models
                group: models
                returns: A list of [model](https://platform.openai.com/docs/api-reference/models/object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/models \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.models.list()
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const list = await client.models.list();

                              for await (const model of list) {
                                console.log(model);
                              }
                            }
                            main();
                    response: |
                        {
                          "object": "list",
                          "data": [
                            {
                              "id": "model-id-0",
                              "object": "model",
                              "created": 1686935002,
                              "owned_by": "organization-owner"
                            },
                            {
                              "id": "model-id-1",
                              "object": "model",
                              "created": 1686935002,
                              "owned_by": "organization-owner",
                            },
                            {
                              "id": "model-id-2",
                              "object": "model",
                              "created": 1686935002,
                              "owned_by": "openai"
                            },
                          ],
                          "object": "list"
                        }
    /models/{model}:
        get:
            operationId: retrieveModel
            tags:
                - Models
            summary: Retrieves a model instance, providing basic information about the model such as the owner and permissioning.
            parameters:
                - in: path
                  name: model
                  required: true
                  schema:
                      type: string
                      # ideally this will be an actual ID, so this will always work from browser
                      example: gpt-3.5-turbo
                  description: The ID of the model to use for this request
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/Model"
            x-oaiMeta:
                name: Retrieve model
                group: models
                returns: The [model](https://platform.openai.com/docs/api-reference/models/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/models/VAR_model_id \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.models.retrieve("VAR_model_id")
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const model = await client.models.retrieve("VAR_model_id");

                              console.log(model);
                            }

                            main();
                    response: &retrieve_model_response |
                        {
                          "id": "VAR_model_id",
                          "object": "model",
                          "created": 1686935002,
                          "owned_by": "openai"
                        }
        delete:
            operationId: deleteModel
            tags:
                - Models
            summary: Delete a fine-tuned model. You must have the Owner role in your organization to delete a model.
            parameters:
                - in: path
                  name: model
                  required: true
                  schema:
                      type: string
                      example: ft:gpt-3.5-turbo:acemeco:suffix:abc123
                  description: The model to delete
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/DeleteModelResponse"
            x-oaiMeta:
                name: Delete a fine-tuned model
                group: models
                returns: Deletion status.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/models/ft:gpt-3.5-turbo:acemeco:suffix:abc123 \
                              -X DELETE \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.models.delete("ft:gpt-3.5-turbo:acemeco:suffix:abc123")
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const model = await client.models.del("ft:gpt-3.5-turbo:acemeco:suffix:abc123");

                              console.log(model);
                            }
                            main();
                    response: |
                        {
                          "id": "ft:gpt-3.5-turbo:acemeco:suffix:abc123",
                          "object": "model",
                          "deleted": true
                        }

    /moderations:
        post:
            operationId: createModeration
            tags:
                - Moderations
            summary: Classifies if text is potentially harmful.
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            $ref: "#/components/schemas/CreateModerationRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/CreateModerationResponse"
            x-oaiMeta:
                name: Create moderation
                group: moderations
                returns: A [moderation](https://platform.openai.com/docs/api-reference/moderations/object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/moderations \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -d '{
                                "input": "I want to kill them."
                              }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            moderation = client.moderations.create(input="I want to kill them.")
                            print(moderation)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const moderation = await client.moderations.create({ input: "I want to kill them." });

                              console.log(moderation);
                            }
                            main();
                    response: &moderation_example |
                        {
                          "id": "modr-XXXXX",
                          "model": "text-moderation-005",
                          "results": [
                            {
                              "flagged": true,
                              "categories": {
                                "sexual": false,
                                "hate": false,
                                "harassment": false,
                                "self-harm": false,
                                "sexual/minors": false,
                                "hate/threatening": false,
                                "violence/graphic": false,
                                "self-harm/intent": false,
                                "self-harm/instructions": false,
                                "harassment/threatening": true,
                                "violence": true,
                              },
                              "category_scores": {
                                "sexual": 1.2282071e-06,
                                "hate": 0.010696256,
                                "harassment": 0.29842457,
                                "self-harm": 1.5236925e-08,
                                "sexual/minors": 5.7246268e-08,
                                "hate/threatening": 0.0060676364,
                                "violence/graphic": 4.435014e-06,
                                "self-harm/intent": 8.098441e-10,
                                "self-harm/instructions": 2.8498655e-11,
                                "harassment/threatening": 0.63055265,
                                "violence": 0.99011886,
                              }
                            }
                          ]
                        }

    /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](https://platform.openai.com/docs/api-reference/assistants/object) objects.
                examples:
                    request:
                        curl: |
                            curl "https://api.portkey.ai/v1/assistants?order=desc&limit=20" \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            my_assistants = client.beta.assistants.list(
                                order="desc",
                                limit="20",
                            )
                            print(my_assistants.data)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const myAssistants = await client.beta.assistants.list({
                                order: "desc",
                                limit: "20",
                              });

                              console.log(myAssistants.data);
                            }

                            main();
                    response: &list_assistants_example |
                        {
                          "object": "list",
                          "data": [
                            {
                              "id": "asst_abc123",
                              "object": "assistant",
                              "created_at": 1698982736,
                              "name": "Coding Tutor",
                              "description": null,
                              "model": "gpt-4-turbo",
                              "instructions": "You are a helpful assistant designed to make me better at coding!",
                              "tools": [],
                              "tool_resources": {},
                              "metadata": {},
                              "top_p": 1.0,
                              "temperature": 1.0,
                              "response_format": "auto"
                            },
                            {
                              "id": "asst_abc456",
                              "object": "assistant",
                              "created_at": 1698982718,
                              "name": "My Assistant",
                              "description": null,
                              "model": "gpt-4-turbo",
                              "instructions": "You are a helpful assistant designed to make me better at coding!",
                              "tools": [],
                              "tool_resources": {},
                              "metadata": {},
                              "top_p": 1.0,
                              "temperature": 1.0,
                              "response_format": "auto"
                            },
                            {
                              "id": "asst_abc789",
                              "object": "assistant",
                              "created_at": 1698982643,
                              "name": null,
                              "description": null,
                              "model": "gpt-4-turbo",
                              "instructions": null,
                              "tools": [],
                              "tool_resources": {},
                              "metadata": {},
                              "top_p": 1.0,
                              "temperature": 1.0,
                              "response_format": "auto"
                            }
                          ],
                          "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](https://platform.openai.com/docs/api-reference/assistants/object) object.
                examples:
                    - title: Code Interpreter
                      request:
                          curl: |
                              curl "https://api.portkey.ai/v1/assistants" \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -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-turbo"
                                }'

                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              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-turbo",
                              )
                              print(my_assistant)
                          node.js: |-
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const myAssistant = await 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-turbo",
                                });

                                console.log(myAssistant);
                              }

                              main();
                      response: &create_assistants_example |
                          {
                            "id": "asst_abc123",
                            "object": "assistant",
                            "created_at": 1698984975,
                            "name": "Math Tutor",
                            "description": null,
                            "model": "gpt-4-turbo",
                            "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
                            "tools": [
                              {
                                "type": "code_interpreter"
                              }
                            ],
                            "metadata": {},
                            "top_p": 1.0,
                            "temperature": 1.0,
                            "response_format": "auto"
                          }
                    - title: Files
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/assistants \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                  "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.",
                                  "tools": [{"type": "file_search"}],
                                  "tool_resources": {"file_search": {"vector_store_ids": ["vs_123"]}},
                                  "model": "gpt-4-turbo"
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              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": "file_search"}],
                                  tool_resources={"file_search": {"vector_store_ids": ["vs_123"]}},
                                  model="gpt-4-turbo"
                              )
                              print(my_assistant)
                          node.js: |-
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const myAssistant = await 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: "file_search" }],
                                  tool_resources: {
                                    file_search: {
                                      vector_store_ids: ["vs_123"]
                                    }
                                  },
                                  model: "gpt-4-turbo"
                                });

                                console.log(myAssistant);
                              }

                              main();
                      response: |
                          {
                            "id": "asst_abc123",
                            "object": "assistant",
                            "created_at": 1699009403,
                            "name": "HR Helper",
                            "description": null,
                            "model": "gpt-4-turbo",
                            "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.",
                            "tools": [
                              {
                                "type": "file_search"
                              }
                            ],
                            "tool_resources": {
                              "file_search": {
                                "vector_store_ids": ["vs_123"]
                              }
                            },
                            "metadata": {},
                            "top_p": 1.0,
                            "temperature": 1.0,
                            "response_format": "auto"
                          }

    /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](https://platform.openai.com/docs/api-reference/assistants/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/assistants/asst_abc123 \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            my_assistant = client.beta.assistants.retrieve("asst_abc123")
                            print(my_assistant)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const myAssistant = await client.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-turbo",
                          "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.",
                          "tools": [
                            {
                              "type": "file_search"
                            }
                          ],
                          "metadata": {},
                          "top_p": 1.0,
                          "temperature": 1.0,
                          "response_format": "auto"
                        }
        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](https://platform.openai.com/docs/api-reference/assistants/object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/assistants/asst_abc123 \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -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": "file_search"}],
                                  "model": "gpt-4-turbo"
                                }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            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": "file_search"}],
                              model="gpt-4-turbo"
                            )

                            print(my_updated_assistant)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const myUpdatedAssistant = await 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: "file_search" }],
                                  model: "gpt-4-turbo"
                                }
                              );

                              console.log(myUpdatedAssistant);
                            }

                            main();
                    response: |
                        {
                          "id": "asst_123",
                          "object": "assistant",
                          "created_at": 1699009709,
                          "name": "HR Helper",
                          "description": null,
                          "model": "gpt-4-turbo",
                          "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": "file_search"
                            }
                          ],
                          "tool_resources": {
                            "file_search": {
                              "vector_store_ids": []
                            }
                          },
                          "metadata": {},
                          "top_p": 1.0,
                          "temperature": 1.0,
                          "response_format": "auto"
                        }
        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.portkey.ai/v1/assistants/asst_abc123 \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -X DELETE
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            response = client.beta.assistants.delete("asst_abc123")
                            print(response)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const response = await client.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](https://platform.openai.com/docs/api-reference/threads) object.
                examples:
                    - title: Empty
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/threads \
                                -H "Content-Type: application/json" \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d ''
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              empty_thread = client.beta.threads.create()
                              print(empty_thread)
                          node.js: |-
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const emptyThread = await client.beta.threads.create();

                                console.log(emptyThread);
                              }

                              main();
                      response: |
                          {
                            "id": "thread_abc123",
                            "object": "thread",
                            "created_at": 1699012949,
                            "metadata": {},
                            "tool_resources": {}
                          }
                    - title: Messages
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/threads \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -d '{
                                  "messages": [{
                                    "role": "user",
                                    "content": "Hello, what is AI?"
                                  }, {
                                    "role": "user",
                                    "content": "How does AI work? Explain it in simple terms."
                                  }]
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              message_thread = client.beta.threads.create(
                                messages=[
                                  {
                                    "role": "user",
                                    "content": "Hello, what is AI?"
                                  },
                                  {
                                    "role": "user",
                                    "content": "How does AI work? Explain it in simple terms."
                                  },
                                ]
                              )

                              print(message_thread)
                          node.js: |-
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const messageThread = await client.beta.threads.create({
                                  messages: [
                                    {
                                      role: "user",
                                      content: "Hello, what is AI?"
                                    },
                                    {
                                      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": {},
                            "tool_resources": {}
                          }

    /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](https://platform.openai.com/docs/api-reference/threads/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123 \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            my_thread = client.beta.threads.retrieve("thread_abc123")
                            print(my_thread)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const myThread = await client.beta.threads.retrieve(
                                "thread_abc123"
                              );

                              console.log(myThread);
                            }

                            main();
                    response: |
                        {
                          "id": "thread_abc123",
                          "object": "thread",
                          "created_at": 1699014083,
                          "metadata": {},
                          "tool_resources": {
                            "code_interpreter": {
                              "file_ids": []
                            }
                          }
                        }
        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](https://platform.openai.com/docs/api-reference/threads/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123 \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -d '{
                                  "metadata": {
                                    "modified": "true",
                                    "user": "abc123"
                                  }
                                }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            my_updated_thread = client.beta.threads.update(
                              "thread_abc123",
                              metadata={
                                "modified": "true",
                                "user": "abc123"
                              }
                            )
                            print(my_updated_thread)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const updatedThread = await client.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"
                          },
                          "tool_resources": {}
                        }
        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.portkey.ai/v1/threads/thread_abc123 \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -X DELETE
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            response = client.beta.threads.delete("thread_abc123")
                            print(response)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const response = await client.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](https://platform.openai.com/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
                - name: run_id
                  in: query
                  description: |
                      Filter messages by the run ID that generated them.
                  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](https://platform.openai.com/docs/api-reference/messages) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123/messages \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            thread_messages = client.beta.threads.messages.list("thread_abc123")
                            print(thread_messages.data)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const threadMessages = await client.beta.threads.messages.list(
                                "thread_abc123"
                              );

                              console.log(threadMessages.data);
                            }

                            main();
                    response: |
                        {
                          "object": "list",
                          "data": [
                            {
                              "id": "msg_abc123",
                              "object": "thread.message",
                              "created_at": 1699016383,
                              "assistant_id": null,
                              "thread_id": "thread_abc123",
                              "run_id": null,
                              "role": "user",
                              "content": [
                                {
                                  "type": "text",
                                  "text": {
                                    "value": "How does AI work? Explain it in simple terms.",
                                    "annotations": []
                                  }
                                }
                              ],
                              "attachments": [],
                              "metadata": {}
                            },
                            {
                              "id": "msg_abc456",
                              "object": "thread.message",
                              "created_at": 1699016383,
                              "assistant_id": null,
                              "thread_id": "thread_abc123",
                              "run_id": null,
                              "role": "user",
                              "content": [
                                {
                                  "type": "text",
                                  "text": {
                                    "value": "Hello, what is AI?",
                                    "annotations": []
                                  }
                                }
                              ],
                              "attachments": [],
                              "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](https://platform.openai.com/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](https://platform.openai.com/docs/api-reference/messages/object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123/messages \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -d '{
                                  "role": "user",
                                  "content": "How does AI work? Explain it in simple terms."
                                }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            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 Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const threadMessages = await client.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": 1713226573,
                          "assistant_id": null,
                          "thread_id": "thread_abc123",
                          "run_id": null,
                          "role": "user",
                          "content": [
                            {
                              "type": "text",
                              "text": {
                                "value": "How does AI work? Explain it in simple terms.",
                                "annotations": []
                              }
                            }
                          ],
                          "attachments": [],
                          "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](https://platform.openai.com/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](https://platform.openai.com/docs/api-reference/threads/messages/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123/messages/msg_abc123 \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            message = client.beta.threads.messages.retrieve(
                              message_id="msg_abc123",
                              thread_id="thread_abc123",
                            )
                            print(message)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const message = await client.beta.threads.messages.retrieve(
                                "thread_abc123",
                                "msg_abc123"
                              );

                              console.log(message);
                            }

                            main();
                    response: |
                        {
                          "id": "msg_abc123",
                          "object": "thread.message",
                          "created_at": 1699017614,
                          "assistant_id": null,
                          "thread_id": "thread_abc123",
                          "run_id": null,
                          "role": "user",
                          "content": [
                            {
                              "type": "text",
                              "text": {
                                "value": "How does AI work? Explain it in simple terms.",
                                "annotations": []
                              }
                            }
                          ],
                          "attachments": [],
                          "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](https://platform.openai.com/docs/api-reference/threads/messages/object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123/messages/msg_abc123 \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -d '{
                                  "metadata": {
                                    "modified": "true",
                                    "user": "abc123"
                                  }
                                }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            message = client.beta.threads.messages.update(
                              message_id="msg_abc12",
                              thread_id="thread_abc123",
                              metadata={
                                "modified": "true",
                                "user": "abc123",
                              },
                            )
                            print(message)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const message = await client.beta.threads.messages.update(
                                "thread_abc123",
                                "msg_abc123",
                                {
                                  metadata: {
                                    modified: "true",
                                    user: "abc123",
                                  },
                                }
                              }'
                    response: |
                        {
                          "id": "msg_abc123",
                          "object": "thread.message",
                          "created_at": 1699017614,
                          "assistant_id": null,
                          "thread_id": "thread_abc123",
                          "run_id": null,
                          "role": "user",
                          "content": [
                            {
                              "type": "text",
                              "text": {
                                "value": "How does AI work? Explain it in simple terms.",
                                "annotations": []
                              }
                            }
                          ],
                          "file_ids": [],
                          "metadata": {
                            "modified": "true",
                            "user": "abc123"
                          }
                        }
        delete:
            operationId: deleteMessage
            tags:
                - Assistants
            summary: Deletes 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 delete.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/DeleteMessageResponse"
            x-oaiMeta:
                name: Delete message
                group: threads
                beta: true
                returns: Deletion status
                examples:
                    request:
                        curl: |
                            curl -X DELETE https://api.portkey.ai/v1/threads/thread_abc123/messages/msg_abc123 \
                              -H "Content-Type: application/json" \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            deleted_message = client.beta.threads.messages.delete(
                              message_id="msg_abc12",
                              thread_id="thread_abc123",
                            )
                            print(deleted_message)
                        node.js: |-
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const deletedMessage = await client.beta.threads.messages.del(
                                "thread_abc123",
                                "msg_abc123"
                              );

                              console.log(deletedMessage);
                            }
                    response: |
                        {
                          "id": "msg_abc123",
                          "object": "thread.message.deleted",
                          "deleted": true
                        }

    /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](https://platform.openai.com/docs/api-reference/runs/object) object.
                examples:
                    - title: Default
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/threads/runs \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: application/json" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                    "assistant_id": "asst_abc123",
                                    "thread": {
                                      "messages": [
                                        {"role": "user", "content": "Explain deep learning to a 5 year old."}
                                      ]
                                    }
                                  }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              run = client.beta.threads.create_and_run(
                                assistant_id="asst_abc123",
                                thread={
                                  "messages": [
                                    {"role": "user", "content": "Explain deep learning to a 5 year old."}
                                  ]
                                }
                              )

                              print(run)
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const run = await client.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,
                            "required_action": null,
                            "last_error": null,
                            "model": "gpt-4-turbo",
                            "instructions": "You are a helpful assistant.",
                            "tools": [],
                            "tool_resources": {},
                            "metadata": {},
                            "temperature": 1.0,
                            "top_p": 1.0,
                            "max_completion_tokens": null,
                            "max_prompt_tokens": null,
                            "truncation_strategy": {
                              "type": "auto",
                              "last_messages": null
                            },
                            "incomplete_details": null,
                            "usage": null,
                            "response_format": "auto",
                            "tool_choice": "auto",
                            "parallel_tool_calls": true
                          }

                    - title: Streaming
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/threads/runs \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: application/json" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                  "assistant_id": "asst_123",
                                  "thread": {
                                    "messages": [
                                      {"role": "user", "content": "Hello"}
                                    ]
                                  },
                                  "stream": true
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              stream = client.beta.threads.create_and_run(
                                assistant_id="asst_123",
                                thread={
                                  "messages": [
                                    {"role": "user", "content": "Hello"}
                                  ]
                                },
                                stream=True
                              )

                              for event in stream:
                                print(event)
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const stream = await client.beta.threads.createAndRun({
                                    assistant_id: "asst_123",
                                    thread: {
                                      messages: [
                                        { role: "user", content: "Hello" },
                                      ],
                                    },
                                    stream: true
                                });

                                for await (const event of stream) {
                                  console.log(event);
                                }
                              }

                              main();
                      response: |
                          event: thread.created
                          data: {"id":"thread_123","object":"thread","created_at":1710348075,"metadata":{}}

                          event: thread.run.created
                          data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}

                          event: thread.run.queued
                          data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}

                          event: thread.run.in_progress
                          data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}

                          event: thread.run.step.created
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}

                          event: thread.run.step.in_progress
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}

                          event: thread.message.created
                          data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[], "metadata":{}}

                          event: thread.message.in_progress
                          data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[], "metadata":{}}

                          event: thread.message.delta
                          data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}}

                          ...

                          event: thread.message.delta
                          data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}}

                          event: thread.message.delta
                          data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}}

                          event: thread.message.completed
                          data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710348077,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}], "metadata":{}}

                          event: thread.run.step.completed
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710348077,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}}

                          event: thread.run.completed
                          {"id":"run_123","object":"thread.run","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1713226836,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1713226837,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":345,"completion_tokens":11,"total_tokens":356},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}

                          event: done
                          data: [DONE]

                    - title: Streaming with Functions
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/threads/runs \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: application/json" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                  "assistant_id": "asst_abc123",
                                  "thread": {
                                    "messages": [
                                      {"role": "user", "content": "What is the weather like in San Francisco?"}
                                    ]
                                  },
                                  "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"]
                                        }
                                      }
                                    }
                                  ],
                                  "stream": true
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              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"],
                                    },
                                  }
                                }
                              ]

                              stream = client.beta.threads.create_and_run(
                                thread={
                                    "messages": [
                                      {"role": "user", "content": "What is the weather like in San Francisco?"}
                                    ]
                                },
                                assistant_id="asst_abc123",
                                tools=tools,
                                stream=True
                              )

                              for event in stream:
                                print(event)
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              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"],
                                      },
                                    }
                                  }
                              ];

                              async function main() {
                                const stream = await client.beta.threads.createAndRun({
                                  assistant_id: "asst_123",
                                  thread: {
                                    messages: [
                                      { role: "user", content: "What is the weather like in San Francisco?" },
                                    ],
                                  },
                                  tools: tools,
                                  stream: true
                                });

                                for await (const event of stream) {
                                  console.log(event);
                                }
                              }

                              main();
                      response: |
                          event: thread.created
                          data: {"id":"thread_123","object":"thread","created_at":1710351818,"metadata":{}}

                          event: thread.run.created
                          data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.queued
                          data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.in_progress
                          data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710351818,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.step.created
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710351819,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710352418,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[]},"usage":null}

                          event: thread.run.step.in_progress
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710351819,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710352418,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[]},"usage":null}

                          event: thread.run.step.delta
                          data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"id":"call_XXNp8YGaFrjrSjgqxtC8JJ1B","type":"function","function":{"name":"get_current_weather","arguments":"","output":null}}]}}}

                          event: thread.run.step.delta
                          data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"{\""}}]}}}

                          event: thread.run.step.delta
                          data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"location"}}]}}}

                          ...

                          event: thread.run.step.delta
                          data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"ahrenheit"}}]}}}

                          event: thread.run.step.delta
                          data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"\"}"}}]}}}

                          event: thread.run.requires_action
                          data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"requires_action","started_at":1710351818,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":{"type":"submit_tool_outputs","submit_tool_outputs":{"tool_calls":[{"id":"call_XXNp8YGaFrjrSjgqxtC8JJ1B","type":"function","function":{"name":"get_current_weather","arguments":"{\"location\":\"San Francisco, CA\",\"unit\":\"fahrenheit\"}"}}]}},"last_error":null,"model":"gpt-4-turbo","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":345,"completion_tokens":11,"total_tokens":356},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: done
                          data: [DONE]

    /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](https://platform.openai.com/docs/api-reference/runs/object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123/runs \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            runs = client.beta.threads.runs.list(
                              "thread_abc123"
                            )

                            print(runs)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const runs = await client.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-4-turbo",
                              "instructions": null,
                              "incomplete_details": null,
                              "tools": [
                                {
                                  "type": "code_interpreter"
                                }
                              ],
                              "tool_resources": {
                                "code_interpreter": {
                                  "file_ids": [
                                    "file-abc123",
                                    "file-abc456"
                                  ]
                                }
                              },
                              "metadata": {},
                              "usage": {
                                "prompt_tokens": 123,
                                "completion_tokens": 456,
                                "total_tokens": 579
                              },
                              "temperature": 1.0,
                              "top_p": 1.0,
                              "max_prompt_tokens": 1000,
                              "max_completion_tokens": 1000,
                              "truncation_strategy": {
                                "type": "auto",
                                "last_messages": null
                              },
                              "response_format": "auto",
                              "tool_choice": "auto",
                              "parallel_tool_calls": true
                            },
                            {
                              "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-4-turbo",
                              "instructions": null,
                              "incomplete_details": null,
                              "tools": [
                                {
                                  "type": "code_interpreter"
                                }
                              ],
                              "tool_resources": {
                                "code_interpreter": {
                                  "file_ids": [
                                    "file-abc123",
                                    "file-abc456"
                                  ]
                                }
                              },
                              "metadata": {},
                              "usage": {
                                "prompt_tokens": 123,
                                "completion_tokens": 456,
                                "total_tokens": 579
                              },
                              "temperature": 1.0,
                              "top_p": 1.0,
                              "max_prompt_tokens": 1000,
                              "max_completion_tokens": 1000,
                              "truncation_strategy": {
                                "type": "auto",
                                "last_messages": null
                              },
                              "response_format": "auto",
                              "tool_choice": "auto",
                              "parallel_tool_calls": true
                            }
                          ],
                          "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](https://platform.openai.com/docs/api-reference/runs/object) object.
                examples:
                    - title: Default
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/threads/thread_abc123/runs \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: application/json" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                  "assistant_id": "asst_abc123"
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              run = client.beta.threads.runs.create(
                                thread_id="thread_abc123",
                                assistant_id="asst_abc123"
                              )

                              print(run)
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const run = await client.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-turbo",
                            "instructions": null,
                            "incomplete_details": null,
                            "tools": [
                              {
                                "type": "code_interpreter"
                              }
                            ],
                            "metadata": {},
                            "usage": null,
                            "temperature": 1.0,
                            "top_p": 1.0,
                            "max_prompt_tokens": 1000,
                            "max_completion_tokens": 1000,
                            "truncation_strategy": {
                              "type": "auto",
                              "last_messages": null
                            },
                            "response_format": "auto",
                            "tool_choice": "auto",
                            "parallel_tool_calls": true
                          }
                    - title: Streaming
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/threads/thread_123/runs \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: application/json" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                  "assistant_id": "asst_123",
                                  "stream": true
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              stream = client.beta.threads.runs.create(
                                thread_id="thread_123",
                                assistant_id="asst_123",
                                stream=True
                              )

                              for event in stream:
                                print(event)
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const stream = await client.beta.threads.runs.create(
                                  "thread_123",
                                  { assistant_id: "asst_123", stream: true }
                                );

                                for await (const event of stream) {
                                  console.log(event);
                                }
                              }

                              main();
                      response: |
                          event: thread.run.created
                          data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.queued
                          data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.in_progress
                          data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710330641,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.step.created
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}

                          event: thread.run.step.in_progress
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}

                          event: thread.message.created
                          data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}

                          event: thread.message.in_progress
                          data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}

                          event: thread.message.delta
                          data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}}

                          ...

                          event: thread.message.delta
                          data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}}

                          event: thread.message.delta
                          data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}}

                          event: thread.message.completed
                          data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710330642,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}],"metadata":{}}

                          event: thread.run.step.completed
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710330642,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}}

                          event: thread.run.completed
                          data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710330641,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710330642,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: done
                          data: [DONE]

                    - title: Streaming with Functions
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/threads/thread_abc123/runs \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: application/json" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                  "assistant_id": "asst_abc123",
                                  "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"]
                                        }
                                      }
                                    }
                                  ],
                                  "stream": true
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              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"],
                                    },
                                  }
                                }
                              ]

                              stream = client.beta.threads.runs.create(
                                thread_id="thread_abc123",
                                assistant_id="asst_abc123",
                                tools=tools,
                                stream=True
                              )

                              for event in stream:
                                print(event)
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              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"],
                                      },
                                    }
                                  }
                              ];

                              async function main() {
                                const stream = await client.beta.threads.runs.create(
                                  "thread_abc123",
                                  {
                                    assistant_id: "asst_abc123",
                                    tools: tools,
                                    stream: true
                                  }
                                );

                                for await (const event of stream) {
                                  console.log(event);
                                }
                              }

                              main();
                      response: |
                          event: thread.run.created
                          data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.queued
                          data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.in_progress
                          data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710348075,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.step.created
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}

                          event: thread.run.step.in_progress
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}

                          event: thread.message.created
                          data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}

                          event: thread.message.in_progress
                          data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}

                          event: thread.message.delta
                          data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}}

                          ...

                          event: thread.message.delta
                          data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}}

                          event: thread.message.delta
                          data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}}

                          event: thread.message.completed
                          data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710348077,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}],"metadata":{}}

                          event: thread.run.step.completed
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710348077,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}}

                          event: thread.run.completed
                          data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710348075,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710348077,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: done
                          data: [DONE]

    /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](https://platform.openai.com/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](https://platform.openai.com/docs/api-reference/runs/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123/runs/run_abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            run = client.beta.threads.runs.retrieve(
                              thread_id="thread_abc123",
                              run_id="run_abc123"
                            )

                            print(run)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const run = await client.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-4-turbo",
                          "instructions": null,
                          "incomplete_details": null,
                          "tools": [
                            {
                              "type": "code_interpreter"
                            }
                          ],
                          "metadata": {},
                          "usage": {
                            "prompt_tokens": 123,
                            "completion_tokens": 456,
                            "total_tokens": 579
                          },
                          "temperature": 1.0,
                          "top_p": 1.0,
                          "max_prompt_tokens": 1000,
                          "max_completion_tokens": 1000,
                          "truncation_strategy": {
                            "type": "auto",
                            "last_messages": null
                          },
                          "response_format": "auto",
                          "tool_choice": "auto",
                          "parallel_tool_calls": true
                        }
        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](https://platform.openai.com/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](https://platform.openai.com/docs/api-reference/runs/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123/runs/run_abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -d '{
                                "metadata": {
                                  "user_id": "user_abc123"
                                }
                              }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            run = client.beta.threads.runs.update(
                              thread_id="thread_abc123",
                              run_id="run_abc123",
                              metadata={"user_id": "user_abc123"},
                            )

                            print(run)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const run = await client.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-4-turbo",
                          "instructions": null,
                          "incomplete_details": null,
                          "tools": [
                            {
                              "type": "code_interpreter"
                            }
                          ],
                          "tool_resources": {
                            "code_interpreter": {
                              "file_ids": [
                                "file-abc123",
                                "file-abc456"
                              ]
                            }
                          },
                          "metadata": {
                            "user_id": "user_abc123"
                          },
                          "usage": {
                            "prompt_tokens": 123,
                            "completion_tokens": 456,
                            "total_tokens": 579
                          },
                          "temperature": 1.0,
                          "top_p": 1.0,
                          "max_prompt_tokens": 1000,
                          "max_completion_tokens": 1000,
                          "truncation_strategy": {
                            "type": "auto",
                            "last_messages": null
                          },
                          "response_format": "auto",
                          "tool_choice": "auto",
                          "parallel_tool_calls": true
                        }

    /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](https://platform.openai.com/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](https://platform.openai.com/docs/api-reference/runs/object) object matching the specified ID.
                examples:
                    - title: Default
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/threads/thread_123/runs/run_123/submit_tool_outputs \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: application/json" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                  "tool_outputs": [
                                    {
                                      "tool_call_id": "call_001",
                                      "output": "70 degrees and sunny."
                                    }
                                  ]
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              run = client.beta.threads.runs.submit_tool_outputs(
                                thread_id="thread_123",
                                run_id="run_123",
                                tool_outputs=[
                                  {
                                    "tool_call_id": "call_001",
                                    "output": "70 degrees and sunny."
                                  }
                                ]
                              )

                              print(run)
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const run = await client.beta.threads.runs.submitToolOutputs(
                                  "thread_123",
                                  "run_123",
                                  {
                                    tool_outputs: [
                                      {
                                        tool_call_id: "call_001",
                                        output: "70 degrees and sunny.",
                                      },
                                    ],
                                  }
                                );

                                console.log(run);
                              }

                              main();
                      response: |
                          {
                            "id": "run_123",
                            "object": "thread.run",
                            "created_at": 1699075592,
                            "assistant_id": "asst_123",
                            "thread_id": "thread_123",
                            "status": "queued",
                            "started_at": 1699075592,
                            "expires_at": 1699076192,
                            "cancelled_at": null,
                            "failed_at": null,
                            "completed_at": null,
                            "last_error": null,
                            "model": "gpt-4-turbo",
                            "instructions": null,
                            "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"]
                                  }
                                }
                              }
                            ],
                            "metadata": {},
                            "usage": null,
                            "temperature": 1.0,
                            "top_p": 1.0,
                            "max_prompt_tokens": 1000,
                            "max_completion_tokens": 1000,
                            "truncation_strategy": {
                              "type": "auto",
                              "last_messages": null
                            },
                            "response_format": "auto",
                            "tool_choice": "auto",
                            "parallel_tool_calls": true
                          }

                    - title: Streaming
                      request:
                          curl: |
                              curl https://api.portkey.ai/v1/threads/thread_123/runs/run_123/submit_tool_outputs \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: application/json" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                  "tool_outputs": [
                                    {
                                      "tool_call_id": "call_001",
                                      "output": "70 degrees and sunny."
                                    }
                                  ],
                                  "stream": true
                                }'
                          python: |
                              from portkey_ai import Portkey

                              client = Portkey(
                                api_key = "PORTKEY_API_KEY",
                                virtual_key = "PROVIDER_VIRTUAL_KEY"
                              )

                              stream = client.beta.threads.runs.submit_tool_outputs(
                                thread_id="thread_123",
                                run_id="run_123",
                                tool_outputs=[
                                  {
                                    "tool_call_id": "call_001",
                                    "output": "70 degrees and sunny."
                                  }
                                ],
                                stream=True
                              )

                              for event in stream:
                                print(event)
                          node.js: |
                              import Portkey from 'portkey-ai';

                              const client = new Portkey({
                                apiKey: 'PORTKEY_API_KEY',
                                virtualKey: 'PROVIDER_VIRTUAL_KEY'
                              });

                              async function main() {
                                const stream = await client.beta.threads.runs.submitToolOutputs(
                                  "thread_123",
                                  "run_123",
                                  {
                                    tool_outputs: [
                                      {
                                        tool_call_id: "call_001",
                                        output: "70 degrees and sunny.",
                                      },
                                    ],
                                  }
                                );

                                for await (const event of stream) {
                                  console.log(event);
                                }
                              }

                              main();
                      response: |
                          event: thread.run.step.completed
                          data: {"id":"step_001","object":"thread.run.step","created_at":1710352449,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"completed","cancelled_at":null,"completed_at":1710352475,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[{"id":"call_iWr0kQ2EaYMaxNdl0v3KYkx7","type":"function","function":{"name":"get_current_weather","arguments":"{\"location\":\"San Francisco, CA\",\"unit\":\"fahrenheit\"}","output":"70 degrees and sunny."}}]},"usage":{"prompt_tokens":291,"completion_tokens":24,"total_tokens":315}}

                          event: thread.run.queued
                          data: {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":1710352448,"expires_at":1710353047,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.in_progress
                          data: {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710352475,"expires_at":1710353047,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: thread.run.step.created
                          data: {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":null}

                          event: thread.run.step.in_progress
                          data: {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":null}

                          event: thread.message.created
                          data: {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}

                          event: thread.message.in_progress
                          data: {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}

                          event: thread.message.delta
                          data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"The","annotations":[]}}]}}

                          event: thread.message.delta
                          data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" current"}}]}}

                          event: thread.message.delta
                          data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" weather"}}]}}

                          ...

                          event: thread.message.delta
                          data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" sunny"}}]}}

                          event: thread.message.delta
                          data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"."}}]}}

                          event: thread.message.completed
                          data: {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710352477,"role":"assistant","content":[{"type":"text","text":{"value":"The current weather in San Francisco, CA is 70 degrees Fahrenheit and sunny.","annotations":[]}}],"metadata":{}}

                          event: thread.run.step.completed
                          data: {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710352477,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":{"prompt_tokens":329,"completion_tokens":18,"total_tokens":347}}

                          event: thread.run.completed
                          data: {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710352475,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710352477,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"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"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}

                          event: done
                          data: [DONE]

    /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](https://platform.openai.com/docs/api-reference/runs/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123/runs/run_abc123/cancel \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -X POST
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            run = client.beta.threads.runs.cancel(
                              thread_id="thread_abc123",
                              run_id="run_abc123"
                            )

                            print(run)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const run = await client.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-turbo",
                          "instructions": "You summarize books.",
                          "tools": [
                            {
                              "type": "file_search"
                            }
                          ],
                          "tool_resources": {
                            "file_search": {
                              "vector_store_ids": ["vs_123"]
                            }
                          },
                          "metadata": {},
                          "usage": null,
                          "temperature": 1.0,
                          "top_p": 1.0,
                          "response_format": "auto",
                          "tool_choice": "auto",
                          "parallel_tool_calls": true
                        }

    /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](https://platform.openai.com/docs/api-reference/runs/step-object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123/runs/run_abc123/steps \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            run_steps = client.beta.threads.runs.steps.list(
                                thread_id="thread_abc123",
                                run_id="run_abc123"
                            )

                            print(run_steps)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const runStep = await client.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"
                                }
                              },
                              "usage": {
                                "prompt_tokens": 123,
                                "completion_tokens": 456,
                                "total_tokens": 579
                              }
                            }
                          ],
                          "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](https://platform.openai.com/docs/api-reference/runs/step-object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/threads/thread_abc123/runs/run_abc123/steps/step_abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            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 Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const runStep = await client.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"
                            }
                          },
                          "usage": {
                            "prompt_tokens": 123,
                            "completion_tokens": 456,
                            "total_tokens": 579
                          }
                        }

    /vector_stores:
        get:
            operationId: listVectorStores
            tags:
                - Vector Stores
            summary: Returns a list of vector stores.
            parameters:
                - 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/ListVectorStoresResponse"
            x-oaiMeta:
                name: List vector stores
                group: vector_stores
                beta: true
                returns: A list of [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            vector_stores = client.beta.vector_stores.list()
                            print(vector_stores)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const vectorStores = await client.beta.vectorStores.list();
                              console.log(vectorStores);
                            }

                            main();
                    response: |
                        {
                          "object": "list",
                          "data": [
                            {
                              "id": "vs_abc123",
                              "object": "vector_store",
                              "created_at": 1699061776,
                              "name": "Support FAQ",
                              "bytes": 139920,
                              "file_counts": {
                                "in_progress": 0,
                                "completed": 3,
                                "failed": 0,
                                "cancelled": 0,
                                "total": 3
                              }
                            },
                            {
                              "id": "vs_abc456",
                              "object": "vector_store",
                              "created_at": 1699061776,
                              "name": "Support FAQ v2",
                              "bytes": 139920,
                              "file_counts": {
                                "in_progress": 0,
                                "completed": 3,
                                "failed": 0,
                                "cancelled": 0,
                                "total": 3
                              }
                            }
                          ],
                          "first_id": "vs_abc123",
                          "last_id": "vs_abc456",
                          "has_more": false
                        }
        post:
            operationId: createVectorStore
            tags:
                - Vector Stores
            summary: Create a vector store.
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            $ref: "#/components/schemas/CreateVectorStoreRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/VectorStoreObject"
            x-oaiMeta:
                name: Create vector store
                group: vector_stores
                beta: true
                returns: A [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                              -d '{
                                "name": "Support FAQ"
                              }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            vector_store = client.beta.vector_stores.create(
                              name="Support FAQ"
                            )
                            print(vector_store)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const vectorStore = await client.beta.vectorStores.create({
                                name: "Support FAQ"
                              });
                              console.log(vectorStore);
                            }

                            main();
                    response: |
                        {
                          "id": "vs_abc123",
                          "object": "vector_store",
                          "created_at": 1699061776,
                          "name": "Support FAQ",
                          "bytes": 139920,
                          "file_counts": {
                            "in_progress": 0,
                            "completed": 3,
                            "failed": 0,
                            "cancelled": 0,
                            "total": 3
                          }
                        }

    /vector_stores/{vector_store_id}:
        get:
            operationId: getVectorStore
            tags:
                - Vector Stores
            summary: Retrieves a vector store.
            parameters:
                - in: path
                  name: vector_store_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the vector store to retrieve.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/VectorStoreObject"
            x-oaiMeta:
                name: Retrieve vector store
                group: vector_stores
                beta: true
                returns: The [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            vector_store = client.beta.vector_stores.retrieve(
                              vector_store_id="vs_abc123"
                            )
                            print(vector_store)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const vectorStore = await client.beta.vectorStores.retrieve(
                                "vs_abc123"
                              );
                              console.log(vectorStore);
                            }

                            main();
                    response: |
                        {
                          "id": "vs_abc123",
                          "object": "vector_store",
                          "created_at": 1699061776
                        }
        post:
            operationId: modifyVectorStore
            tags:
                - Vector Stores
            summary: Modifies a vector store.
            parameters:
                - in: path
                  name: vector_store_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the vector store to modify.
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            $ref: "#/components/schemas/UpdateVectorStoreRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/VectorStoreObject"
            x-oaiMeta:
                name: Modify vector store
                group: vector_stores
                beta: true
                returns: The modified [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                              -d '{
                                "name": "Support FAQ"
                              }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            vector_store = client.beta.vector_stores.update(
                              vector_store_id="vs_abc123",
                              name="Support FAQ"
                            )
                            print(vector_store)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const vectorStore = await client.beta.vectorStores.update(
                                "vs_abc123",
                                {
                                  name: "Support FAQ"
                                }
                              );
                              console.log(vectorStore);
                            }

                            main();
                    response: |
                        {
                          "id": "vs_abc123",
                          "object": "vector_store",
                          "created_at": 1699061776,
                          "name": "Support FAQ",
                          "bytes": 139920,
                          "file_counts": {
                            "in_progress": 0,
                            "completed": 3,
                            "failed": 0,
                            "cancelled": 0,
                            "total": 3
                          }
                        }

        delete:
            operationId: deleteVectorStore
            tags:
                - Vector Stores
            summary: Delete a vector store.
            parameters:
                - in: path
                  name: vector_store_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the vector store to delete.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/DeleteVectorStoreResponse"
            x-oaiMeta:
                name: Delete vector store
                group: vector_stores
                beta: true
                returns: Deletion status
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -X DELETE
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            deleted_vector_store = client.beta.vector_stores.delete(
                              vector_store_id="vs_abc123"
                            )
                            print(deleted_vector_store)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const deletedVectorStore = await client.beta.vectorStores.del(
                                "vs_abc123"
                              );
                              console.log(deletedVectorStore);
                            }

                            main();
                    response: |
                        {
                          id: "vs_abc123",
                          object: "vector_store.deleted",
                          deleted: true
                        }

    /vector_stores/{vector_store_id}/files:
        get:
            operationId: listVectorStoreFiles
            tags:
                - Vector Stores
            summary: Returns a list of vector store files.
            parameters:
                - name: vector_store_id
                  in: path
                  description: The ID of the vector store that the files belong 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
                - name: filter
                  in: query
                  description: "Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`."
                  schema:
                      type: string
                      enum: ["in_progress", "completed", "failed", "cancelled"]
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/ListVectorStoreFilesResponse"
            x-oaiMeta:
                name: List vector store files
                group: vector_stores
                beta: true
                returns: A list of [vector store file](https://platform.openai.com/docs/api-reference/vector-stores-files/file-object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123/files \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            vector_store_files = client.beta.vector_stores.files.list(
                              vector_store_id="vs_abc123"
                            )
                            print(vector_store_files)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const vectorStoreFiles = await client.beta.vectorStores.files.list(
                                "vs_abc123"
                              );
                              console.log(vectorStoreFiles);
                            }

                            main();
                    response: |
                        {
                          "object": "list",
                          "data": [
                            {
                              "id": "file-abc123",
                              "object": "vector_store.file",
                              "created_at": 1699061776,
                              "vector_store_id": "vs_abc123"
                            },
                            {
                              "id": "file-abc456",
                              "object": "vector_store.file",
                              "created_at": 1699061776,
                              "vector_store_id": "vs_abc123"
                            }
                          ],
                          "first_id": "file-abc123",
                          "last_id": "file-abc456",
                          "has_more": false
                        }
        post:
            operationId: createVectorStoreFile
            tags:
                - Vector Stores
            summary: Create a vector store file by attaching a [File](https://platform.openai.com/docs/api-reference/files) to a [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).
            parameters:
                - in: path
                  name: vector_store_id
                  required: true
                  schema:
                      type: string
                      example: vs_abc123
                  description: |
                      The ID of the vector store for which to create a File.
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            $ref: "#/components/schemas/CreateVectorStoreFileRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/VectorStoreFileObject"
            x-oaiMeta:
                name: Create vector store file
                group: vector_stores
                beta: true
                returns: A [vector store file](https://platform.openai.com/docs/api-reference/vector-stores-files/file-object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123/files \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: application/json" \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                  "file_id": "file-abc123"
                                }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            vector_store_file = client.beta.vector_stores.files.create(
                              vector_store_id="vs_abc123",
                              file_id="file-abc123"
                            )
                            print(vector_store_file)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const myVectorStoreFile = await client.beta.vectorStores.files.create(
                                "vs_abc123",
                                {
                                  file_id: "file-abc123"
                                }
                              );
                              console.log(myVectorStoreFile);
                            }

                            main();
                    response: |
                        {
                          "id": "file-abc123",
                          "object": "vector_store.file",
                          "created_at": 1699061776,
                          "usage_bytes": 1234,
                          "vector_store_id": "vs_abcd",
                          "status": "completed",
                          "last_error": null
                        }

    /vector_stores/{vector_store_id}/files/{file_id}:
        get:
            operationId: getVectorStoreFile
            tags:
                - Vector Stores
            summary: Retrieves a vector store file.
            parameters:
                - in: path
                  name: vector_store_id
                  required: true
                  schema:
                      type: string
                      example: vs_abc123
                  description: The ID of the vector store that 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/VectorStoreFileObject"
            x-oaiMeta:
                name: Retrieve vector store file
                group: vector_stores
                beta: true
                returns: The [vector store file](https://platform.openai.com/docs/api-reference/vector-stores-files/file-object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123/files/file-abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            vector_store_file = client.beta.vector_stores.files.retrieve(
                              vector_store_id="vs_abc123",
                              file_id="file-abc123"
                            )
                            print(vector_store_file)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const vectorStoreFile = await client.beta.vectorStores.files.retrieve(
                                "vs_abc123",
                                "file-abc123"
                              );
                              console.log(vectorStoreFile);
                            }

                            main();
                    response: |
                        {
                          "id": "file-abc123",
                          "object": "vector_store.file",
                          "created_at": 1699061776,
                          "vector_store_id": "vs_abcd",
                          "status": "completed",
                          "last_error": null
                        }
        delete:
            operationId: deleteVectorStoreFile
            tags:
                - Vector Stores
            summary: Delete a vector store file. This will remove the file from the vector store but the file itself will not be deleted. To delete the file, use the [delete file](https://platform.openai.com/docs/api-reference/files/delete) endpoint.
            parameters:
                - in: path
                  name: vector_store_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the vector store 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/DeleteVectorStoreFileResponse"
            x-oaiMeta:
                name: Delete vector store file
                group: vector_stores
                beta: true
                returns: Deletion status
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123/files/file-abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -X DELETE
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            deleted_vector_store_file = client.beta.vector_stores.files.delete(
                                vector_store_id="vs_abc123",
                                file_id="file-abc123"
                            )
                            print(deleted_vector_store_file)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const deletedVectorStoreFile = await client.beta.vectorStores.files.del(
                                "vs_abc123",
                                "file-abc123"
                              );
                              console.log(deletedVectorStoreFile);
                            }

                            main();
                    response: |
                        {
                          id: "file-abc123",
                          object: "vector_store.file.deleted",
                          deleted: true
                        }

    /vector_stores/{vector_store_id}/file_batches:
        post:
            operationId: createVectorStoreFileBatch
            tags:
                - Vector Stores
            summary: Create a vector store file batch.
            parameters:
                - in: path
                  name: vector_store_id
                  required: true
                  schema:
                      type: string
                      example: vs_abc123
                  description: |
                      The ID of the vector store for which to create a File Batch.
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            $ref: "#/components/schemas/CreateVectorStoreFileBatchRequest"
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/VectorStoreFileBatchObject"
            x-oaiMeta:
                name: Create vector store file batch
                group: vector_stores
                beta: true
                returns: A [vector store file batch](https://platform.openai.com/docs/api-reference/vector-stores-file-batches/batch-object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123/file_batches \
                                -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                                -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                                -H "Content-Type: application/json \
                                -H "OpenAI-Beta: assistants=v2" \
                                -d '{
                                  "file_ids": ["file-abc123", "file-abc456"]
                                }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            vector_store_file_batch = client.beta.vector_stores.file_batches.create(
                              vector_store_id="vs_abc123",
                              file_ids=["file-abc123", "file-abc456"]
                            )
                            print(vector_store_file_batch)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const myVectorStoreFileBatch = await client.beta.vectorStores.fileBatches.create(
                                "vs_abc123",
                                {
                                  file_ids: ["file-abc123", "file-abc456"]
                                }
                              );
                              console.log(myVectorStoreFileBatch);
                            }

                            main();
                    response: |
                        {
                          "id": "vsfb_abc123",
                          "object": "vector_store.file_batch",
                          "created_at": 1699061776,
                          "vector_store_id": "vs_abc123",
                          "status": "in_progress",
                          "file_counts": {
                            "in_progress": 1,
                            "completed": 1,
                            "failed": 0,
                            "cancelled": 0,
                            "total": 0,
                          }
                        }

    /vector_stores/{vector_store_id}/file_batches/{batch_id}:
        get:
            operationId: getVectorStoreFileBatch
            tags:
                - Vector Stores
            summary: Retrieves a vector store file batch.
            parameters:
                - in: path
                  name: vector_store_id
                  required: true
                  schema:
                      type: string
                      example: vs_abc123
                  description: The ID of the vector store that the file batch belongs to.
                - in: path
                  name: batch_id
                  required: true
                  schema:
                      type: string
                      example: vsfb_abc123
                  description: The ID of the file batch being retrieved.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/VectorStoreFileBatchObject"
            x-oaiMeta:
                name: Retrieve vector store file batch
                group: vector_stores
                beta: true
                returns: The [vector store file batch](https://platform.openai.com/docs/api-reference/vector-stores-file-batches/batch-object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            vector_store_file_batch = client.beta.vector_stores.file_batches.retrieve(
                              vector_store_id="vs_abc123",
                              batch_id="vsfb_abc123"
                            )
                            print(vector_store_file_batch)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const vectorStoreFileBatch = await client.beta.vectorStores.fileBatches.retrieve(
                                "vs_abc123",
                                "vsfb_abc123"
                              );
                              console.log(vectorStoreFileBatch);
                            }

                            main();
                    response: |
                        {
                          "id": "vsfb_abc123",
                          "object": "vector_store.file_batch",
                          "created_at": 1699061776,
                          "vector_store_id": "vs_abc123",
                          "status": "in_progress",
                          "file_counts": {
                            "in_progress": 1,
                            "completed": 1,
                            "failed": 0,
                            "cancelled": 0,
                            "total": 0,
                          }
                        }

    /vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel:
        post:
            operationId: cancelVectorStoreFileBatch
            tags:
                - Vector Stores
            summary: Cancel a vector store file batch. This attempts to cancel the processing of files in this batch as soon as possible.
            parameters:
                - in: path
                  name: vector_store_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the vector store that the file batch belongs to.
                - in: path
                  name: batch_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the file batch to cancel.
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/VectorStoreFileBatchObject"
            x-oaiMeta:
                name: Cancel vector store file batch
                group: vector_stores
                beta: true
                returns: The modified vector store file batch object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/cancel \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2" \
                              -X POST
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            deleted_vector_store_file_batch = client.beta.vector_stores.file_batches.cancel(
                                vector_store_id="vs_abc123",
                                file_batch_id="vsfb_abc123"
                            )
                            print(deleted_vector_store_file_batch)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const deletedVectorStoreFileBatch = await client.vector_stores.fileBatches.cancel(
                                "vs_abc123",
                                "vsfb_abc123"
                              );
                              console.log(deletedVectorStoreFileBatch);
                            }

                            main();
                    response: |
                        {
                          "id": "vsfb_abc123",
                          "object": "vector_store.file_batch",
                          "created_at": 1699061776,
                          "vector_store_id": "vs_abc123",
                          "status": "cancelling",
                          "file_counts": {
                            "in_progress": 12,
                            "completed": 3,
                            "failed": 0,
                            "cancelled": 0,
                            "total": 15,
                          }
                        }

    /vector_stores/{vector_store_id}/file_batches/{batch_id}/files:
        get:
            operationId: listFilesInVectorStoreBatch
            tags:
                - Vector Stores
            summary: Returns a list of vector store files in a batch.
            parameters:
                - name: vector_store_id
                  in: path
                  description: The ID of the vector store that the files belong to.
                  required: true
                  schema:
                      type: string
                - name: batch_id
                  in: path
                  description: The ID of the file batch that the files belong 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
                - name: filter
                  in: query
                  description: "Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`."
                  schema:
                      type: string
                      enum: ["in_progress", "completed", "failed", "cancelled"]
            responses:
                "200":
                    description: OK
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/ListVectorStoreFilesResponse"
            x-oaiMeta:
                name: List vector store files in a batch
                group: vector_stores
                beta: true
                returns: A list of [vector store file](https://platform.openai.com/docs/api-reference/vector-stores-files/file-object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/files \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -H "OpenAI-Beta: assistants=v2"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            vector_store_files = client.beta.vector_stores.file_batches.list_files(
                              vector_store_id="vs_abc123",
                              batch_id="vsfb_abc123"
                            )
                            print(vector_store_files)
                        node.js: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const vectorStoreFiles = await client.beta.vectorStores.fileBatches.listFiles(
                                "vs_abc123",
                                "vsfb_abc123"
                              );
                              console.log(vectorStoreFiles);
                            }

                            main();
                    response: |
                        {
                          "object": "list",
                          "data": [
                            {
                              "id": "file-abc123",
                              "object": "vector_store.file",
                              "created_at": 1699061776,
                              "vector_store_id": "vs_abc123"
                            },
                            {
                              "id": "file-abc456",
                              "object": "vector_store.file",
                              "created_at": 1699061776,
                              "vector_store_id": "vs_abc123"
                            }
                          ],
                          "first_id": "file-abc123",
                          "last_id": "file-abc456",
                          "has_more": false
                        }

    /batches:
        post:
            summary: Creates and executes a batch from an uploaded file of requests
            operationId: createBatch
            tags:
                - Batch
            requestBody:
                required: true
                content:
                    application/json:
                        schema:
                            type: object
                            required:
                                - input_file_id
                                - endpoint
                                - completion_window
                            properties:
                                input_file_id:
                                    type: string
                                    description: |
                                        The ID of an uploaded file that contains requests for the new batch.

                                        See [upload file](https://platform.openai.com/docs/api-reference/files/create) for how to upload a file.

                                        Your input file must be formatted as a [JSONL file](https://platform.openai.com/docs/api-reference/batch/request-input), and must be uploaded with the purpose `batch`. The file can contain up to 50,000 requests, and can be up to 100 MB in size.
                                endpoint:
                                    type: string
                                    enum:
                                        [
                                            "/v1/chat/completions",
                                            "/v1/embeddings",
                                            "/v1/completions",
                                        ]
                                    description: The endpoint to be used for all requests in the batch. Currently `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are supported. Note that `/v1/embeddings` batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch.
                                completion_window:
                                    type: string
                                    enum: ["24h"]
                                    description: The time frame within which the batch should be processed. Currently only `24h` is supported.
                                metadata:
                                    type: object
                                    additionalProperties:
                                        type: string
                                    description: Optional custom metadata for the batch.
                                    nullable: true
            responses:
                "200":
                    description: Batch created successfully.
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/Batch"
            x-oaiMeta:
                name: Create batch
                group: batch
                returns: The created [Batch](https://platform.openai.com/docs/api-reference/batch/object) object.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/batches \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -d '{
                                "input_file_id": "file-abc123",
                                "endpoint": "/v1/chat/completions",
                                "completion_window": "24h"
                              }'
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.batches.create(
                              input_file_id="file-abc123",
                              endpoint="/v1/chat/completions",
                              completion_window="24h"
                            )
                        node: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const batch = await client.batches.create({
                                input_file_id: "file-abc123",
                                endpoint: "/v1/chat/completions",
                                completion_window: "24h"
                              });

                              console.log(batch);
                            }

                            main();
                    response: |
                        {
                          "id": "batch_abc123",
                          "object": "batch",
                          "endpoint": "/v1/chat/completions",
                          "errors": null,
                          "input_file_id": "file-abc123",
                          "completion_window": "24h",
                          "status": "validating",
                          "output_file_id": null,
                          "error_file_id": null,
                          "created_at": 1711471533,
                          "in_progress_at": null,
                          "expires_at": null,
                          "finalizing_at": null,
                          "completed_at": null,
                          "failed_at": null,
                          "expired_at": null,
                          "cancelling_at": null,
                          "cancelled_at": null,
                          "request_counts": {
                            "total": 0,
                            "completed": 0,
                            "failed": 0
                          },
                          "metadata": {
                            "customer_id": "user_123456789",
                            "batch_description": "Nightly eval job",
                          }
                        }
        get:
            operationId: listBatches
            tags:
                - Batch
            summary: List your organization's batches.
            parameters:
                - in: query
                  name: after
                  required: false
                  schema:
                      type: string
                  description: *pagination_after_param_description
                - name: limit
                  in: query
                  description: *pagination_limit_param_description
                  required: false
                  schema:
                      type: integer
                      default: 20
            responses:
                "200":
                    description: Batch listed successfully.
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/ListBatchesResponse"
            x-oaiMeta:
                name: List batch
                group: batch
                returns: A list of paginated [Batch](https://platform.openai.com/docs/api-reference/batch/object) objects.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/batches?limit=2 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json"
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.batches.list()
                        node: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const list = await client.batches.list();

                              for await (const batch of list) {
                                console.log(batch);
                              }
                            }

                            main();
                    response: |
                        {
                          "object": "list",
                          "data": [
                            {
                              "id": "batch_abc123",
                              "object": "batch",
                              "endpoint": "/v1/chat/completions",
                              "errors": null,
                              "input_file_id": "file-abc123",
                              "completion_window": "24h",
                              "status": "completed",
                              "output_file_id": "file-cvaTdG",
                              "error_file_id": "file-HOWS94",
                              "created_at": 1711471533,
                              "in_progress_at": 1711471538,
                              "expires_at": 1711557933,
                              "finalizing_at": 1711493133,
                              "completed_at": 1711493163,
                              "failed_at": null,
                              "expired_at": null,
                              "cancelling_at": null,
                              "cancelled_at": null,
                              "request_counts": {
                                "total": 100,
                                "completed": 95,
                                "failed": 5
                              },
                              "metadata": {
                                "customer_id": "user_123456789",
                                "batch_description": "Nightly job",
                              }
                            },
                            { ... },
                          ],
                          "first_id": "batch_abc123",
                          "last_id": "batch_abc456",
                          "has_more": true
                        }

    /batches/{batch_id}:
        get:
            operationId: retrieveBatch
            tags:
                - Batch
            summary: Retrieves a batch.
            parameters:
                - in: path
                  name: batch_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the batch to retrieve.
            responses:
                "200":
                    description: Batch retrieved successfully.
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/Batch"
            x-oaiMeta:
                name: Retrieve batch
                group: batch
                returns: The [Batch](https://platform.openai.com/docs/api-reference/batch/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/batches/batch_abc123 \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.batches.retrieve("batch_abc123")
                        node: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const batch = await client.batches.retrieve("batch_abc123");

                              console.log(batch);
                            }

                            main();
                    response: &batch_object |
                        {
                          "id": "batch_abc123",
                          "object": "batch",
                          "endpoint": "/v1/completions",
                          "errors": null,
                          "input_file_id": "file-abc123",
                          "completion_window": "24h",
                          "status": "completed",
                          "output_file_id": "file-cvaTdG",
                          "error_file_id": "file-HOWS94",
                          "created_at": 1711471533,
                          "in_progress_at": 1711471538,
                          "expires_at": 1711557933,
                          "finalizing_at": 1711493133,
                          "completed_at": 1711493163,
                          "failed_at": null,
                          "expired_at": null,
                          "cancelling_at": null,
                          "cancelled_at": null,
                          "request_counts": {
                            "total": 100,
                            "completed": 95,
                            "failed": 5
                          },
                          "metadata": {
                            "customer_id": "user_123456789",
                            "batch_description": "Nightly eval job",
                          }
                        }

    /batches/{batch_id}/cancel:
        post:
            operationId: cancelBatch
            tags:
                - Batch
            summary: Cancels an in-progress batch. The batch will be in status `cancelling` for up to 10 minutes, before changing to `cancelled`, where it will have partial results (if any) available in the output file.
            parameters:
                - in: path
                  name: batch_id
                  required: true
                  schema:
                      type: string
                  description: The ID of the batch to cancel.
            responses:
                "200":
                    description: Batch is cancelling. Returns the cancelling batch's details.
                    content:
                        application/json:
                            schema:
                                $ref: "#/components/schemas/Batch"
            x-oaiMeta:
                name: Cancel batch
                group: batch
                returns: The [Batch](https://platform.openai.com/docs/api-reference/batch/object) object matching the specified ID.
                examples:
                    request:
                        curl: |
                            curl https://api.portkey.ai/v1/batches/batch_abc123/cancel \
                              -H "x-portkey-api-key: $PORTKEY_API_KEY" \
                              -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
                              -H "Content-Type: application/json" \
                              -X POST
                        python: |
                            from portkey_ai import Portkey

                            client = Portkey(
                              api_key = "PORTKEY_API_KEY",
                              virtual_key = "PROVIDER_VIRTUAL_KEY"
                            )

                            client.batches.cancel("batch_abc123")
                        node: |
                            import Portkey from 'portkey-ai';

                            const client = new Portkey({
                              apiKey: 'PORTKEY_API_KEY',
                              virtualKey: 'PROVIDER_VIRTUAL_KEY'
                            });

                            async function main() {
                              const batch = await client.batches.cancel("batch_abc123");

                              console.log(batch);
                            }

                            main();
                    response: |
                        {
                          "id": "batch_abc123",
                          "object": "batch",
                          "endpoint": "/v1/chat/completions",
                          "errors": null,
                          "input_file_id": "file-abc123",
                          "completion_window": "24h",
                          "status": "cancelling",
                          "output_file_id": null,
                          "error_file_id": null,
                          "created_at": 1711471533,
                          "in_progress_at": 1711471538,
                          "expires_at": 1711557933,
                          "finalizing_at": null,
                          "completed_at": null,
                          "failed_at": null,
                          "expired_at": null,
                          "cancelling_at": 1711475133,
                          "cancelled_at": null,
                          "request_counts": {
                            "total": 100,
                            "completed": 23,
                            "failed": 1
                          },
                          "metadata": {
                            "customer_id": "user_123456789",
                            "batch_description": "Nightly eval job",
                          }
                        }

    /configs:
      get:
        summary: List all configs
        tags:
          - Configs
        operationId: listConfigs
        responses:
          "200":
            description: A list of configs
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: array
                      items:
                        type: object
                        properties:
                          id:
                            type: string
                            format: uuid
                          name:
                            type: string
                          slug:
                            type: string
                          organisation_id:
                            type: string
                            format: uuid
                          workspace_id:
                            type: string
                            format: uuid
                          is_default:
                            type: integer
                          status:
                            type: string
                          owner_id:
                            type: string
                            format: uuid
                          updated_by:
                            type: string
                            format: uuid
                          created_at:
                            type: string
                            format: date-time
                          last_updated_at:
                            type: string
                            format: date-time
                examples:
                  example-1:
                    value:
                      {
                        "success": true,
                        "data":
                          [
                            {
                              "id": "4e54a1a4-109c-43ee-b0f7-11e7d60b0066",
                              "name": "Pplx Cache Test",
                              "slug": "pc-pplx-c-ca7a87",
                              "organisation_id": "472d2804-d054-4226-b4ae-9d4e2e61e69e",
                              "workspace_id": "472d2804-d054-4226-b4ae-9d4e2e61e69e",
                              "is_default": 0,
                              "status": "active",
                              "owner_id": "c4c7996d-be62-429d-b787-5d48fe94da86",
                              "updated_by": "439268ba-94a2-4031-9ca7-ca88ddda5096",
                              "created_at": "2024-05-12T21:37:06.000Z",
                              "last_updated_at": "2024-05-23T23:36:06.000Z",
                            },
                          ],
                      }
      post:
        summary: Create a config
        tags:
          - Configs
        operationId: createConfig
        requestBody:
          required: true
          content:
            application/json:
              schema:
                type: object
                properties:
                  name:
                    type: string
                  config:
                    type: object
                  isDefault:
                    type: integer
                  workspace_id:
                    type: string
                    format: uuid
                    description: optional, when using organisation admin API keys
              examples:
                example-1:
                  value:
                    {
                      "name": "New config",
                      "config": { "retry": { "attempts": 3 } },
                      "workspace_id": "",
                      "isDefault": 1,
                    }
        responses:
          "200":
            description: Config created successfully
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
                      properties:
                        id:
                          type: string
                          format: uuid
                        version_id:
                          type: string
                          format: uuid
                examples:
                  example-1:
                    value:
                      {
                        "success": true,
                        "data":
                          {
                            "id": "f3d8d070-f29d-43a3-bf97-3159c60f4ce0",
                            "version_id": "0db4065b-ead2-4daa-bf5e-7e9106585133",
                          },
                      }

    /configs/{slug}:
      get:
        summary: Get a config
        tags:
          - Configs
        operationId: getConfig
        parameters:
          - name: slug
            in: path
            required: true
            schema:
              type: string
        responses:
          "200":
            description: Config details
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
                      properties:
                        config:
                          type: object
                          properties:
                            retry:
                              type: object
                              properties:
                                attempts:
                                  type: integer
                                on_status_codes:
                                  type: array
                                  items:
                                    type: integer
                            cache:
                              type: object
                              properties:
                                mode:
                                  type: string
                                max_age:
                                  type: integer
                            strategy:
                              type: object
                              properties:
                                mode:
                                  type: string
                            targets:
                              type: array
                              items:
                                type: object
                                properties:
                                  provider:
                                    type: string
                                  virtual_key:
                                    type: string
                examples:
                  example-1:
                    value:
                      {
                        "success": true,
                        "data":
                          {
                            "config":
                              {
                                "retry":
                                  {
                                    "attempts": 5,
                                    "on_status_codes": [429, 529],
                                  },
                                "cache": { "mode": "simple", "max_age": 3600 },
                                "strategy": { "mode": "fallback" },
                                "targets":
                                  [
                                    {
                                      "provider": "openai",
                                      "virtual_key": "main-258f4d",
                                    },
                                    {
                                      "provider": "azure-openai",
                                      "virtual_key": "azure-test-4110dd",
                                    },
                                  ],
                              },
                          },
                      }
      put:
        summary: Update a config
        tags:
          - Configs
        operationId: updateConfig
        parameters:
          - name: slug
            in: path
            required: true
            schema:
              type: string
        requestBody:
          required: true
          content:
            application/json:
              schema:
                type: object
                properties:
                  name:
                    type: string
                  config:
                    type: object
                    properties:
                      virtual_key:
                        type: string
                  status:
                    type: string
              examples:
                example-1:
                  value:
                    {
                      "name": "testConf",
                      "config": { "virtual_key": "copy-of-anthrop-b20259" },
                      "status": "active",
                    }
        responses:
          "200":
            description: Config updated successfully
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
                      properties:
                        version_id:
                          type: string
                          format: uuid
                examples:
                  example-1:
                    value:
                      {
                        "success": true,
                        "data":
                          {
                            "version_id": "abe447e2-f6aa-4229-93b7-8ee3183b6667",
                          },
                      }

    /feedback:
      post:
        summary: Create new feedback
        description: This endpoint allows users to submit feedback for a particular interaction or response.
        operationId: createFeedback
        tags:
          - Feedback
        requestBody:
          required: true
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/FeedbackRequest"
              examples:
                thumbsUpExample:
                  summary: Thumbs Up Feedback
                  value:
                    trace_id: "REQUEST_TRACE_ID"
                    value: 1
                thumbsDownExample:
                  summary: Thumbs Down Feedback
                  value:
                    trace_id: "REQUEST_TRACE_ID"
                    value: 0
        responses:
          "200":
            description: Feedback successfully saved
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/FeedbackResponse"

    /feedback/{id}:
      put:
        summary: Updates existing feedback
        description: This endpoint allows users to update existing feedback.
        operationId: updateFeedback
        parameters:
          - name: id
            in: path
            description: Feedback ID
            required: true
            schema:
              type: string
              format: uuid
        tags:
          - Feedback
        requestBody:
          required: true
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/FeedbackUpdateRequest"
              examples:
                thumbsUpExample:
                  summary: Thumbs Up Feedback
                  value:
                    value: 1
                thumbsDownExample:
                  summary: Thumbs Down Feedback
                  value:
                    value: 0
        responses:
          "200":
            description: Feedback successfully updated
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/FeedbackResponse"

    /virtual-keys:
      get:
        summary: List All Virtual Keys
        tags:
          - Virtual-keys
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: array
                      items:
                        type: object
                        properties:
                          name:
                            type: string
                          note:
                            type: string
                          status:
                            type: string
                          created_at:
                            type: string
                            format: date-time
                          slug:
                            type: string
                          model_config:
                            type: object
                          usage_limits:
                            $ref: "#/components/schemas/UsageLimits"
                          provider:
                            type: string
                          workspace_id:
                            type: string
                            format: uuid
                example:
                  success: true
                  data:
                    -
                      name: "My Virtual Key"
                      note: "This is my first virtual key's description"
                      status: "active"
                      created_at: "2024-05-13T23:17:36.000Z"
                      slug: "ayush-test-budg-e07aed"
                      model_config: {}
                      usage_limits: {"credit_limit": 10,"periodic_reset": "monthly","alert_threshold": 9}
                      provider: "openai"
                      workspace_id: ""
          '401':
            description: Unauthorized response
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
                      properties:
                        message:
                          type: string
                example:
                  success: false
                  data:
                    message: "Unauthorised Request"

      post:
        summary: Create a Virtual Key
        tags:
          - Virtual-keys
        requestBody:
          required: true
          content:
            application/json:
              schema:
                type: object
                properties:
                  name:
                    type: string
                  provider:
                    type: string
                    enum:
                      - openai
                      - azure-openai
                      - ai21
                      - anthropic
                      - anyscale
                      - azure-openai
                      - bedrock
                      - cohere
                      - deepinfra
                      - fireworks-ai
                      - google
                      - groq
                      - hugging-face
                      - jina
                      - lingyi
                      - mistral-ai
                      - monsterapi
                      - moonshot
                      - nomic
                      - novita-ai
                      - open-ai
                      - openrouter
                      - palm
                      - perplexity-ai
                      - predibase
                      - reka-ai
                      - segmind
                      - stability-ai
                      - together-ai
                      - vertex-ai
                      - workers-ai
                      - zhipu
                  key:
                    type: string
                  note:
                    type: string
                    nullable: true
                  apiVersion:
                    type: string
                    nullable: true
                  resourceName:
                    type: string
                    nullable: true
                  deploymentName:
                    type: string
                    nullable: true
                  workspace_id:
                    type: string
                    format: uuid
                    description: optional, needed when using organisation admin API keys
                  usage_limits:
                    $ref: "#/components/schemas/UsageLimits"
              examples:
                generic:
                  value:
                    name: "My first virtual key"
                    provider: "openai"
                    key: "sk-jhkfkjs8d9f7jksfghkjhfg"
                    note: "Virtual key description"
                    usage_limits: {"credit_limit": 10,"periodic_reset": "monthly","alert_threshold": 9}
                    workspace_id: ""
                azure-openai:
                  value:
                    provider: "azure-openai"
                    key: "openai-test"
                    name: "Key 1 Azure Open AI"
                    note: "description"
                    apiVersion: "a"
                    deploymentName: "b"
                    resourceName: "c"
                bedrock:
                  value:
                    provider: "bedrock"
                    key: "openai-test"
                    name: "Bedrock Key"
                    note: "description"
                    awsAccessKeyId: "a"
                    awsSecretAccessKey: "b"
                    awsRegion: "c"
                vertex-ai:
                  value:
                    provider: "vertex-ai"
                    key: "vertex test"
                    name: "Vertex AI Key"
                    note: "description"
                    vertexProjectId: "a"
                    vertexRegion: "b"
                workers-ai:
                  value:
                    provider: "vertex-ai"
                    key: "cloudflare test"
                    name: "CF Workers AI Key"
                    note: "description"
                    workersAiAccountId: "a"
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
                      properties:
                        slug:
                          type: string
          '401':
            description: Unauthorized response
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
                      properties:
                        message:
                          type: string
                example:
                  success: false
                  data:
                    message: "Unauthorised Request"

    /virtual-keys/{slug}:
      get:
        summary: Get a Virtual Key
        tags:
          - Virtual-keys
        parameters:
          - in: path
            name: slug
            required: true
            schema:
              type: string
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
                      properties:
                        model_config:
                          type: object
                        key:
                          type: string
                        name:
                          type: string
                        usage_limits:
                          $ref: "#/components/schemas/UsageLimits"
                        status:
                          type: string
                        note:
                          type: string
                        created_at:
                          type: string
                          format: date-time
                        provider:
                          type: string
          '401':
            description: Unauthorized response
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
                      properties:
                        message:
                          type: string
                example:
                  success: false
                  data:
                    message: "Unauthorised Request"

      put:
        summary: Update a Virtual Key
        tags:
          - Virtual-keys
        parameters:
          - in: path
            name: slug
            required: true
            schema:
              type: string
        requestBody:
          required: true
          content:
            application/json:
              schema:
                type: object
                properties:
                  name:
                    type: string
                  key:
                    type: string
                  note:
                    type: string
                    nullable: true
                  usage_limits:
                    $ref: "#/components/schemas/UsageLimits"
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
          '401':
            description: Unauthorized response
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
                      properties:
                        message:
                          type: string
                example:
                  success: false
                  data:
                    message: "Unauthorised Request"

      delete:
        summary: Delete a Virtual Key
        tags:
          - Virtual-keys
        parameters:
          - in: path
            name: slug
            required: true
            schema:
              type: string
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
          '401':
            description: Unauthorized response
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    success:
                      type: boolean
                    data:
                      type: object
                      properties:
                        message:
                          type: string
                example:
                  success: false
                  data:
                    message: "Unauthorised Request"

    /admin/users/invites:
      post:
        tags:
          - User-invites
        summary: Invite User
        description: Send an invite to user for your organization
        requestBody:
          content:
            application/json:
              schema:
                type: object
                properties:
                  email:
                    type: string
                  role:
                    type: string
                    enum:
                      - admin
                      - member
                  workspaces:
                    type: array
                    items:
                      type: object
                      properties:
                        workspace_id:
                          type: string
                        role:
                          type: string
                          enum:
                            - admin
                            - member
                example:
                  email: horace.slughorn@example.com
                  role: member
                  workspaces:
                    - workspace_id: ""
                      role: ""
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    id:
                      type: string
                      format: uuid
                    invite_link:
                      type: string
                      format: uri
                example:
                  id: 419641fb-1458-47d6-94d0-e308159b3ec2
                  invite_link: https://app.portkey.ai/some-invite-link
      get:
        tags:
          - User-invites
        summary: Get All Invites
        parameters:
          - name: pageSize
            in: query
            schema:
              type: integer
            example: '1'
          - name: currentPage
            in: query
            schema:
              type: integer
            example: '0'
          - name: role
            in: query
            schema:
              type: string
              enum:
                - admin
                - member
            example: 'admin'
          - name: email
            in: query
            schema:
              type: string
              format: email
            example: 'foo@bar.com'
          - name: status
            in: query
            schema:
              type: string
              enum:
                - pending
                - cancelled
                - accepted
                - expired
            example: 'pending'
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/InviteList"
                example:
                  object: list
                  total: 2
                  data:
                    - object: invite
                      id: 419641fb-1458-47d6-94d0-e308159b3ec2
                      email: horace.slughorn@example.com
                      role: member
                      created_at: '2023-12-12 13:56:32'
                      expires_at: '2023-12-12 13:56:32'
                      accepted_at: '2023-12-12 13:56:32'
                      status: pending
                      invited_by: a90e74fb-269e-457b-8b59-9426cdd8907e
                      workspaces:
                      - workspace_id: ""
                        role: ""

    /admin/users/invites/{inviteId}:
      get:
        tags:
          - User-invites
        summary: Get Invite
        parameters:
          - name: inviteId
            in: path
            schema:
              type: string
            required: true
            description: string
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/Invite"
                example:
                  object: invite
                  id: 419641fb-1458-47d6-94d0-e308159b3ec2
                  email: horace.slughorn@example.com
                  role: member
                  created_at: '2023-12-12 13:56:32'
                  expires_at: '2023-12-12 13:56:32'
                  accepted_at: '2023-12-12 13:56:32'
                  status: pending
                  invited_by: 8dcfa174-c5ed-42c7-8a63-be755cc6e3123
                  workspaces:
                      - workspace_id: ""
                        role: ""
      delete:
        tags:
          - User-invites
        summary: Delete Invite By ID
        parameters:
          - name: inviteId
            in: path
            schema:
              type: string
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  type: object
                example: {}

    /admin/users:
      get:
        tags:
          - Users
        summary: Get users
        parameters:
          - name: x-portkey-api-key
            in: header
            schema:
              type: string
            example: '{{PORTKEY_API_KEY}}'
          - name: pageSize
            in: query
            schema:
              type: integer
            example: '1'
          - name: currentPage
            in: query
            schema:
              type: integer
            example: '0'
          - name: role
            in: query
            schema:
              type: string
              enum:
                - admin
                - member
                - owner
            example: 'admin'
          - name: email
            in: query
            schema:
              type: string
              format: email
            example: 'foo@bar.com'
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/UserList"
                example:
                  total: 2
                  object: list
                  data:
                    - object: user
                      id: 61e08f60-4822-465e-ba23-39f85cd741cb
                      first_name: horace
                      last_name: slughorn
                      role: member
                      email: horace.slughorn@example.com
                      created_at: '2024-01-25 11:35:07'
                      last_updated_at: '2024-01-25 11:35:07'

    /admin/users/{userId}:
      get:
        tags:
          - Users
        summary: Get user
        parameters:
          - name: userId
            in: path
            schema:
              type: string
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/User"
                example:
                  object: user
                  id: 61e08f60-4822-465e-ba23-39f85cd741cb
                  first_name: horace
                  last_name: slughorn
                  role: member
                  email: horace.slughorn@example.com
                  created_at: '2024-01-25 11:35:07'
                  last_updated_at: '2024-01-25 11:35:07'
                  workspace_ids : ['ws-shared-123']
      delete:
        tags:
          - Users
        summary: Remove a user
        parameters:
          - name: userId
            in: path
            schema:
              type: string
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  type: object
                example: {}
      put:
        tags:
          - Users
        summary: Update user
        requestBody:
          content:
            application/json:
              schema:
                type: object
                properties:
                  role:
                    type: string
                    enum:
                      - admin
                      - member
                example:
                  role: admin
        parameters:
          - name: userId
            in: path
            schema:
              type: string
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  type: object
                example: {}

    /admin/workspaces/{workspaceId}/users:
      post:
        tags:
          - Workspaces > Members
        summary: Add workspace member
        requestBody:
          content:
            application/json:
              schema:
                type: object
                properties:
                  users:
                    type: array
                    items:
                      type: object
                      properties:
                        id:
                          type: string
                          format: uuid
                          example: 25afb7bd-f98a-11ee-85fe-0e27d7367987
                        role:
                          type: string
                          example: member
                          enum:
                            - admin
                            - member
                example:
                  users:
                    - id: 419641fb-1458-47d6-94d0-e308159b3ec2
                      role: member
                    - id: 419641fb-1458-47d6-94d0-e308159b3ec3
                      role: member
        parameters:
          - name: workspaceId
            in: path
            schema:
              type: string
            required: true
        responses:
          '200':
            description: OK
            content:
              application/json:
                schema:
                  type: object
                example: {}
      get:
        tags:
          - Workspaces > Members
        summary: Get workspace members
        parameters:
          - name: workspaceId
            in: path
            schema:
              type: string
            required: true
          - name: current_page
            in: query
            schema:
              type: number
              default: 50
            required: false
          - name: page_size
            in: query
            schema:
              type: number
              default: 0
            required: false
          - name: role
            in: query
            schema:
              type: string
              enum: ["admin","manager","member"]
            example: 'admin'
          - name: email
            in: query
            schema:
              type: string
            example: 'test@test.com'

        responses:
          '200':
            description: OK
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/WorkspaceMemberList"

    /admin/workspaces/{workspaceId}/users/{userId}:
      put:
        tags:
          - Workspaces > Members
        summary: Update workspace member
        requestBody:
          content:
            application/json:
              schema:
                type: object
                properties:
                  role:
                    type: string
                    enum:
                      - admin
                      - member
                example:
                  role: member
        parameters:
          - name: workspaceId
            in: path
            schema:
              type: string
            required: true
          - name: userId
            in: path
            schema:
              type: string
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  type: object
                example: {}

      delete:
        tags:
          - Workspaces > Members
        summary: Remove workspace member
        parameters:
          - name: workspaceId
            in: path
            schema:
              type: string
            required: true
          - name: userId
            in: path
            schema:
              type: string
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  type: object
                example: {}

      get:
        tags:
          - Workspaces > Members
        summary: Get member
        parameters:
          - name: workspaceId
            in: path
            schema:
              type: string
            required: true
          - name: userId
            in: path
            schema:
              type: string
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/WorkspaceMember"
                example:
                  object: workspace_member
                  user_id: 61e08f60-4822-465e-ba23-39f85cd741cb
                  user:
                    object: user
                    id: 61e08f60-4822-465e-ba23-39f85cd741cb
                    first_name: horace
                    last_name: slughorn
                    email: horace.slughorn@example.com
                  role: admin
                  created_at: '2024-01-25 11:35:07'
                  last_updated_at: '2024-01-25 11:35:07'

    /admin/workspaces:
      post:
        tags:
          - Workspaces
        summary: Create Workspace
        requestBody:
          content:
            application/json:
              schema:
                type: object
                properties:
                  name:
                    type: string
                  description:
                    type: string
                  defaults:
                    type: object
                    properties:
                      metadata:
                        type: object
                        additionalProperties:
                          type: string
                  users:
                    type: array
                    items:
                      type: string
                example:
                  name: My Workspace
                  description: My Description
                  defaults:
                    metadata:
                      environment: production
                      foo: bar
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: '#/components/schemas/Workspace'

      get:
        tags:
          - Workspaces
        summary: Get All
        parameters:
          - name: page_size
            in: query
            schema:
              type: integer
            example: '1'
          - name: current_page
            in: query
            schema:
              type: integer
            example: '0'
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/WorkspaceList"
                example:
                  total: 2
                  object: list
                  data:
                    - id: test-prod-ws-12345
                      name: Test prod workspace
                      description: This is a production workspace
                      created_at: '2023-07-13 13:51:27'
                      last_updated_at: '2023-07-13 14:51:27'
                      defaults:
                        metadata:
                          foo: bar
                      object: workspace
                    - id: test-prod-ws-12345
                      name: Test prod workspace
                      description: This is a production workspace
                      created_at: '2023-07-13 13:51:27'
                      last_updated_at: '2023-07-13 14:51:27'
                      defaults:
                        metadata:
                          foo: bar
                      object: workspace

    /admin/workspaces/{workspaceId}:
      put:
        tags:
          - Workspaces
        summary: Update Workspace
        requestBody:
          content:
            application/json:
              schema:
                type: object
                properties:
                  name:
                    type: string
                  description:
                    type: string
                  defaults:
                    type: object
                    properties:
                      metadata:
                        type: object
                        additionalProperties:
                          type: string
                example:
                  name: My Workspace
                  description: My Description
                  defaults:
                    metadata:
                      foo: bar
        parameters:
          - name: workspaceId
            in: path
            schema:
              type: string
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: '#/components/schemas/Workspace'

      get:
        tags:
          - Workspaces
        summary: Get workspace
        parameters:
          - name: workspaceId
            in: path
            schema:
              type: string
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/WorkspaceWithUsers"

    /logs/exports/{exportId}:
      get:
        tags:
          - Logs Export
        summary:  Get a specific logs export
        parameters:
        - name: exportId
          in: path
          required: true
          schema:
            type: string
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/ExportItem"
      put:
        tags:
          - Logs Export
        summary: Update a logs export
        parameters:
        - name: exportId
          in: path
          required: true
          schema:
            type: string
        requestBody:
          content:
            application/json:
              schema:
                type: object
                properties:
                  workspace_id:
                    type: string
                  filters:
                    $ref: "#/components/schemas/FilterSchema"
                required:
                  - workspace_id
                  - filters
        responses:
          '200':
            description: Successful response
            content:
                application/json:
                  schema:
                    $ref: "#/components/schemas/UpdateExportResponse"

    /logs/exports:
      get:
        tags:
          - Logs Export
        summary: Get all logs exports
        parameters:
        - name: workspace_id
          in: query
          schema:
            type: string
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/ExportListResponse"
      post:
        tags:
          - Logs Export
        summary: Create log export
        requestBody:
          content:
            application/json:
              schema:
                type: object
                properties:
                  workspace_id:
                    type: string
                  filters:
                    $ref: "#/components/schemas/FilterSchema"
                  requested_data:
                    type: array
                    items:
                      type: string
                required:
                  - workspace_id
                  - filters
                  - requested_data
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/UpdateExportResponse"

    /logs/exports/{exportId}/start:
      post:
        tags:
          - Logs Export
        summary: Start log export
        parameters:
        - name: exportId
          in: path
          required: true
          schema:
            type: string
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/ExportTaskResponse"

    /logs/exports/{exportId}/cancel:
      post:
        tags:
          - Logs Export
        summary: Cancel log export
        parameters:
        - name: exportId
          in: path
          required: true
          schema:
            type: string
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/ExportTaskResponse"

    /logs/exports/{exportId}/download:
      get:
        tags:
          - Logs Export
        summary: Download log export
        parameters:
          - name: exportId
            in: path
            required: true
            schema:
              type: string
        responses:
          '200':
            description: Successful response
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/DownloadLogsResponse"

    /api-keys/{type}/{sub-type}:
      post:
        tags:
          - Api-Keys
        summary: Create Api Keys
        parameters:
          - name: type
            in: path
            schema:
              type: string
              enum: ["organisation", "workspace"]
            required: true
          - name: sub-type
            in: path
            schema:
              type: string
              enum: ["user", "service"]
            required: true
        requestBody:
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/CreateApiKeyObject"
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  type: object
                  properties:
                    id:
                      type: string
                      format: uuid
                      example: "183f497a-2a7f-4f47-992e-26213fa863we"
                    key:
                      type: string
                      example: "abssofjosfjs"
                    object:
                      type: string
                      enum: ["api-key"]
                      example: "api-key"

    /api-keys:
      get:
        tags:
          - Api-Keys
        summary: Get All
        parameters:
          - name: page_size
            in: query
            schema:
              type: integer
            example: '1'
          - name: current_page
            in: query
            schema:
              type: integer
            example: '0'
          - name: workspace_id
            in: query
            schema:
              type: string
            example: 'ws-shared-123'
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/ApiKeyObjectList"

    /api-keys/{id}:
      put:
        tags:
          - Api-Keys
        summary: Update Api Keys
        requestBody:
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UpdateApiKeyObject"
        parameters:
          - name: id
            in: path
            schema:
              type: string
              format: uuid
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  type: object
                example: {}

      get:
        tags:
          - Api-Keys
        summary: Get Api Keys
        parameters:
          - name: id
            in: path
            schema:
              type: string
              format: uuid
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  $ref: "#/components/schemas/ApiKeyObject"

      delete:
        tags:
          - Api-Keys
        summary: Remove a Api Key
        parameters:
          - name: id
            in: path
            schema:
              type: string
              format: uuid
            required: true
        responses:
          '200':
            description: OK
            headers:
              Content-Type:
                schema:
                  type: string
                  example: application/json
            content:
              application/json:
                schema:
                  type: object
                example: {}

components:
    securitySchemes:
        ApiKeyAuth:
            type: apiKey
            in: header
            name: x-portkey-api-key

    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](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models/overview) for descriptions of them.
                    anyOf:
                        - type: string
                        - type: string
                          enum: ["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"]
                    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.](https://platform.openai.com/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](https://platform.openai.com/tokenizer?view=bpe) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.

                        As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated.
                logprobs: &completions_logprobs_configuration
                    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](https://platform.openai.com/tokenizer?view=bpe) 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.](https://platform.openai.com/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-UShttps://platform.openai.com/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
                stream_options:
                    $ref: "#/components/schemas/ChatCompletionStreamOptions"
                suffix:
                    description: |
                        The suffix that comes after a completion of inserted text.

                        This parameter is only supported for `gpt-3.5-turbo-instruct`.
                    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](https://platform.openai.com/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-4-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](https://platform.openai.com/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."
                    nullable: true
                    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

        # TODO(apeng): This is only because we don't support tools yet. Use allOf once we do.
        FineTuneChatCompletionRequestAssistantMessage:
            type: object
            title: Assistant message
            properties:
                content:
                    nullable: true
                    type: string
                    description: |
                        The contents of the assistant message. Required unless `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.
                function_call:
                    type: object
                    description: The name and arguments of a function that should be called, as generated by the model.
                    nullable: true
                    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
                weight:
                    type: integer
                    enum: [0, 1]
                    description: "Controls whether the assistant message is trained against (0 or 1)"
            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

        # TODO(apeng): This is only because we don't support tools yet. Add back deprecated once we do.
        FineTuneChatCompletionRequestFunctionMessage:
            allOf:
                - type: object
                  title: Function message
                  deprecated: false
                - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage"

        FunctionParameters:
            type: object
            description: "The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/docs/guides/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) tool is called by the model.
                `none` means the model will not call any tool and instead generates a message.
                `auto` means the model can pick between generating a message or calling one or more tools.
                `required` means the model must call one or more tools.
                Specifying a particular tool via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool.

                `none` is the default when no tools are present. `auto` is the default if tools are present.
            oneOf:
                - type: string
                  description: >
                      `none` means the model will not call any tool and instead generates a message.
                      `auto` means the model can pick between generating a message or calling one or more tools.
                      `required` means the model must call one or more tools.
                  enum: [none, auto, required]
                - $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

        ParallelToolCalls:
            description: Whether to enable [parallel function calling](https://platform.openai.com/docs/guides/function-calling/parallel-function-calling) during tool use.
            type: boolean
            default: true

        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

        ChatCompletionStreamOptions:
            description: |
                Options for streaming response. Only set this when you set `stream: true`.
            type: object
            nullable: true
            default: null
            properties:
                include_usage:
                    type: boolean
                    description: |
                        If set, an additional chunk will be streamed before the `data: [DONE]` message. The `usage` field on this chunk shows the token usage statistics for the entire request, and the `choices` field will always be an empty array. All other chunks will also include a `usage` field, but with a null value.

        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](https://platform.openai.com/docs/models/model-endpoint-compatibility) table for details on which models work with the Chat API.
                    example: "gpt-4-turbo"
                    anyOf:
                        - type: string
                        - type: string
                          enum:
                              [
                                  "gpt-4o",
                                  "gpt-4o-2024-05-13",
                                  "gpt-4-turbo",
                                  "gpt-4-turbo-2024-04-09",
                                  "gpt-4-0125-preview",
                                  "gpt-4-turbo-preview",
                                  "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-0125",
                                  "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`.
                    type: boolean
                    default: false
                    nullable: true
                top_logprobs:
                    description: An integer between 0 and 20 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: 20
                    nullable: true
                max_tokens:
                    description: |
                        The maximum number of [tokens](https://platform.openai.com/tokenizer?view=bpe) 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 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and all GPT-3.5 Turbo models newer than `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-UShttps://platform.openai.com/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
                stream_options:
                    $ref: "#/components/schemas/ChatCompletionStreamOptions"
                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. A max of 128 functions are supported.
                    items:
                        $ref: "#/components/schemas/ChatCompletionTool"
                tool_choice:
                    $ref: "#/components/schemas/ChatCompletionToolChoiceOption"
                parallel_tool_calls:
                    $ref: "#/components/schemas/ParallelToolCalls"
                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, if it is within the top 20 most likely tokens. Otherwise, the value `-9999.0` is used to signify that the token is very unlikely.
                    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
                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

        ListPaginatedFineTuningJobsResponse:
            type: object
            properties:
                data:
                    type: array
                    items:
                        $ref: "#/components/schemas/FineTuningJob"
                has_more:
                    type: boolean
                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 contain more than one elements if `n` is greater than 1. Can also be empty for the
                        last chunk if you set `stream_options: {"include_usage": true}`.
                    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]
                usage:
                    type: object
                    description: |
                        An optional field that will only be present when you set `stream_options: {"include_usage": true}` in your request.
                        When present, it contains a null value except for the last chunk which contains the token usage statistics for the entire request.
                    properties:
                        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
            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

        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`. URLs are only valid for 60 minutes after the image has been generated.
                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 Portkey 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": "..."
                    }

        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: 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
                    example: 1
                    nullable: true
                    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
                    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

        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
                    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: |
                        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:
                - input

        CreateModerationResponse:
            type: object
            description: Represents if a given text input is potentially harmful.
            properties:
                id:
                    type: string
                    description: The unique identifier for the moderation request.
                model:
                    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 any of the below categories are flagged.
                            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 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
                - model
                - results
            x-oaiMeta:
                name: The moderation object
                example: *moderation_example

        ListFilesResponse:
            type: object
            properties:
                data:
                    type: array
                    items:
                        $ref: "#/components/schemas/OpenAIFile"
                object:
                    type: string
                    enum: [list]
            required:
                - object
                - data

        CreateFileRequest:
            type: object
            additionalProperties: false
            properties:
                file:
                    description: |
                        The File object (not file name) to be uploaded.
                    type: string
                    format: binary
                purpose:
                    description: |
                        The intended purpose of the uploaded file.

                        Use "assistants" for [Assistants](https://platform.openai.com/docs/api-reference/assistants) and [Message](https://platform.openai.com/docs/api-reference/messages) files, "vision" for Assistants image file inputs, "batch" for [Batch API](https://platform.openai.com/docs/guides/batch), and "fine-tune" for [Fine-tuning](https://platform.openai.com/docs/api-reference/fine-tuning).
                    type: string
                    enum: ["assistants", "batch", "fine-tune", "vision"]
            required:
                - file
                - purpose

        DeleteFileResponse:
            type: object
            properties:
                id:
                    type: string
                object:
                    type: string
                    enum: [file]
                deleted:
                    type: boolean
            required:
                - id
                - object
                - deleted

        CreateFineTuningJobRequest:
            type: object
            properties:
                model:
                    description: |
                        The name of the model to fine-tune. You can select one of the
                        [supported models](https://platform.openai.com/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](https://platform.openai.com/docs/api-reference/files/create) 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`.

                        The contents of the file should differ depending on if the model uses the [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input) format.

                        See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for more details.
                    type: string
                    example: "file-abc123"
                hyperparameters:
                    type: object
                    description: The hyperparameters used for the fine-tuning job.
                    properties:
                        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.

                        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
                    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](https://platform.openai.com/docs/guides/fine-tuning) for more details.
                    type: string
                    nullable: true
                    example: "file-abc123"
                integrations:
                    type: array
                    description: A list of integrations to enable for your fine-tuning job.
                    nullable: true
                    items:
                        type: object
                        required:
                            - type
                            - wandb
                        properties:
                            type:
                                description: |
                                    The type of integration to enable. Currently, only "wandb" (Weights and Biases) is supported.
                                oneOf:
                                    - type: string
                                      enum: [wandb]
                            wandb:
                                type: object
                                description: |
                                    The settings for your integration with Weights and Biases. This payload specifies the project that
                                    metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags
                                    to your run, and set a default entity (team, username, etc) to be associated with your run.
                                required:
                                    - project
                                properties:
                                    project:
                                        description: |
                                            The name of the project that the new run will be created under.
                                        type: string
                                        example: "my-wandb-project"
                                    name:
                                        description: |
                                            A display name to set for the run. If not set, we will use the Job ID as the name.
                                        nullable: true
                                        type: string
                                    entity:
                                        description: |
                                            The entity to use for the run. This allows you to set the team or username of the WandB user that you would
                                            like associated with the run. If not set, the default entity for the registered WandB API key is used.
                                        nullable: true
                                        type: string
                                    tags:
                                        description: |
                                            A list of tags to be attached to the newly created run. These tags are passed through directly to WandB. Some
                                            default tags are generated by OpenAI: "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
                                        type: array
                                        items:
                                            type: string
                                            example: "custom-tag"

                seed:
                    description: |
                        The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases.
                        If a seed is not specified, one will be generated for you.
                    type: integer
                    nullable: true
                    minimum: 0
                    maximum: 2147483647
                    example: 42
            required:
                - model
                - training_file

        ListFineTuningJobEventsResponse:
            type: object
            properties:
                data:
                    type: array
                    items:
                        $ref: "#/components/schemas/FineTuningJobEvent"
                object:
                    type: string
                    enum: [list]
            required:
                - object
                - data

        ListFineTuningJobCheckpointsResponse:
            type: object
            properties:
                data:
                    type: array
                    items:
                        $ref: "#/components/schemas/FineTuningJobCheckpoint"
                object:
                    type: string
                    enum: [list]
                first_id:
                    type: string
                    nullable: true
                last_id:
                    type: string
                    nullable: true
                has_more:
                    type: boolean
            required:
                - object
                - data
                - has_more

        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
                              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-3-small"
                    anyOf:
                        - type: string
                        - type: string
                          enum:
                              [
                                  "text-embedding-ada-002",
                                  "text-embedding-3-small",
                                  "text-embedding-3-large",
                              ]
                    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"]
                dimensions:
                    description: |
                        The number of dimensions the resulting output embeddings should have. Only supported in `text-embedding-3` and later models.
                    type: integer
                    minimum: 1
                user: *end_user_param_configuration
            required:
                - model
                - input

        CreateEmbeddingResponse:
            type: object
            properties:
                data:
                    type: array
                    description: The list of embeddings generated by the model.
                    items:
                        $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
                - usage

        CreateTranscriptionRequest:
            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.
                    type: string
                    x-oaiTypeLabel: file
                    format: binary
                model:
                    description: |
                        ID of the model to use. Only `whisper-1` (which is powered by our open source Whisper V2 model) 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
                prompt:
                    description: |
                        An optional text to guide the model's style or continue a previous audio segment. The [prompt](https://platform.openai.com/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
                timestamp_granularities[]:
                    description: |
                        The timestamp granularities to populate for this transcription. `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.
                    type: array
                    items:
                        type: string
                        enum:
                            - word
                            - segment
                    default: [segment]
            required:
                - file
                - model

        # Note: This does not currently support the non-default response format types.
        CreateTranscriptionResponseJson:
            type: object
            description: Represents a transcription response returned by model, based on the provided input.
            properties:
                text:
                    type: string
                    description: The transcribed text.
            required:
                - text
            x-oaiMeta:
                name: The transcription object (JSON)
                group: audio
                example: *basic_transcription_response_example

        TranscriptionSegment:
            type: object
            properties:
                id:
                    type: integer
                    description: Unique identifier of the segment.
                seek:
                    type: integer
                    description: Seek offset of the segment.
                start:
                    type: number
                    format: float
                    description: Start time of the segment in seconds.
                end:
                    type: number
                    format: float
                    description: End time of the segment in seconds.
                text:
                    type: string
                    description: Text content of the segment.
                tokens:
                    type: array
                    items:
                        type: integer
                    description: Array of token IDs for the text content.
                temperature:
                    type: number
                    format: float
                    description: Temperature parameter used for generating the segment.
                avg_logprob:
                    type: number
                    format: float
                    description: Average logprob of the segment. If the value is lower than -1, consider the logprobs failed.
                compression_ratio:
                    type: number
                    format: float
                    description: Compression ratio of the segment. If the value is greater than 2.4, consider the compression failed.
                no_speech_prob:
                    type: number
                    format: float
                    description: Probability of no speech in the segment. If the value is higher than 1.0 and the `avg_logprob` is below -1, consider this segment silent.
            required:
                - id
                - seek
                - start
                - end
                - text
                - tokens
                - temperature
                - avg_logprob
                - compression_ratio
                - no_speech_prob

        TranscriptionWord:
            type: object
            properties:
                word:
                    type: string
                    description: The text content of the word.
                start:
                    type: number
                    format: float
                    description: Start time of the word in seconds.
                end:
                    type: number
                    format: float
                    description: End time of the word in seconds.
            required: [word, start, end]

        CreateTranscriptionResponseVerboseJson:
            type: object
            description: Represents a verbose json transcription response returned by model, based on the provided input.
            properties:
                language:
                    type: string
                    description: The language of the input audio.
                duration:
                    type: string
                    description: The duration of the input audio.
                text:
                    type: string
                    description: The transcribed text.
                words:
                    type: array
                    description: Extracted words and their corresponding timestamps.
                    items:
                        $ref: "#/components/schemas/TranscriptionWord"
                segments:
                    type: array
                    description: Segments of the transcribed text and their corresponding details.
                    items:
                        $ref: "#/components/schemas/TranscriptionSegment"
            required: [language, duration, text]
            x-oaiMeta:
                name: The transcription object (Verbose JSON)
                group: audio
                example: *verbose_transcription_response_example

        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` (which is powered by our open source Whisper V2 model) is currently available.
                    example: whisper-1
                    anyOf:
                        - type: string
                        - type: string
                          enum: ["whisper-1"]
                    x-oaiTypeLabel: string
                prompt:
                    description: |
                        An optional text to guide the model's style or continue a previous audio segment. The [prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting) should be in English.
                    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
                    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:
                - file
                - model

        # Note: This does not currently support the non-default response format types.
        CreateTranslationResponseJson:
            type: object
            properties:
                text:
                    type: string
            required:
                - text

        CreateTranslationResponseVerboseJson:
            type: object
            properties:
                language:
                    type: string
                    description: The language of the output translation (always `english`).
                duration:
                    type: string
                    description: The duration of the input audio.
                text:
                    type: string
                    description: The translated text.
                segments:
                    type: array
                    description: Segments of the translated text and their corresponding details.
                    items:
                        $ref: "#/components/schemas/TranscriptionSegment"
            required: [language, duration, text]

        CreateSpeechRequest:
            type: object
            additionalProperties: false
            properties:
                model:
                    description: |
                        One of the available [TTS models](https://platform.openai.com/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
                    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](https://platform.openai.com/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`, `flac`, `wav`, and `pcm`."
                    default: "mp3"
                    type: string
                    enum: ["mp3", "opus", "aac", "flac", "wav", "pcm"]
                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:
                - model
                - input
                - voice

        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
                    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
                - owned_by
            x-oaiMeta:
                name: The model object
                example: *retrieve_model_response

        OpenAIFile:
            title: OpenAIFile
            description: The `File` object represents a document that has been uploaded to OpenAI.
            properties:
                id:
                    type: string
                    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 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 `assistants`, `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results` and `vision`.
                    enum:
                        [
                            "assistants",
                            "assistants_output",
                            "batch",
                            "batch_output",
                            "fine-tune",
                            "fine-tune-results",
                            "vision",
                        ]
                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 file object
                example: |
                    {
                      "id": "file-abc123",
                      "object": "file",
                      "bytes": 120000,
                      "created_at": 1677610602,
                      "filename": "salesOverview.pdf",
                      "purpose": "assistants",
                    }
        Embedding:
            type: object
            description: |
                Represents an embedding vector returned by embedding endpoint.
            properties:
                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](https://platform.openai.com/docs/guides/embeddings).
                    items:
                        type: number
                object:
                    type: string
                    description: The object type, which is always "embedding".
                    enum: [embedding]
            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
                    }

        FineTuningJob:
            type: object
            title: FineTuningJob
            description: |
                The `fine_tuning.job` object represents a fine-tuning 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.
                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](https://platform.openai.com/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:
                    type: 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](https://platform.openai.com/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](https://platform.openai.com/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](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
                integrations:
                    type: array
                    nullable: true
                    description: A list of integrations to enable for this fine-tuning job.
                    maxItems: 5
                    items:
                        oneOf:
                            - $ref: "#/components/schemas/FineTuningIntegration"
                        x-oaiExpandable: true
                seed:
                    type: integer
                    description: The seed used for the fine-tuning job.
                estimated_finish:
                    type: integer
                    nullable: true
                    description: The Unix timestamp (in seconds) for when the fine-tuning job is estimated to finish. The value will be null if the fine-tuning job is not running.
            required:
                - created_at
                - error
                - finished_at
                - fine_tuned_model
                - hyperparameters
                - id
                - model
                - object
                - organization_id
                - result_files
                - status
                - trained_tokens
                - training_file
                - validation_file
                - seed
            x-oaiMeta:
                name: The fine-tuning job object
                example: *fine_tuning_example

        FineTuningIntegration:
            type: object
            title: Fine-Tuning Job Integration
            required:
                - type
                - wandb
            properties:
                type:
                    type: string
                    description: "The type of the integration being enabled for the fine-tuning job"
                    enum: ["wandb"]
                wandb:
                    type: object
                    description: |
                        The settings for your integration with Weights and Biases. This payload specifies the project that
                        metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags
                        to your run, and set a default entity (team, username, etc) to be associated with your run.
                    required:
                        - project
                    properties:
                        project:
                            description: |
                                The name of the project that the new run will be created under.
                            type: string
                            example: "my-wandb-project"
                        name:
                            description: |
                                A display name to set for the run. If not set, we will use the Job ID as the name.
                            nullable: true
                            type: string
                        entity:
                            description: |
                                The entity to use for the run. This allows you to set the team or username of the WandB user that you would
                                like associated with the run. If not set, the default entity for the registered WandB API key is used.
                            nullable: true
                            type: string
                        tags:
                            description: |
                                A list of tags to be attached to the newly created run. These tags are passed through directly to WandB. Some
                                default tags are generated by OpenAI: "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
                            type: array
                            items:
                                type: string
                                example: "custom-tag"

        FineTuningJobEvent:
            type: object
            description: Fine-tuning job event object
            properties:
                id:
                    type: string
                created_at:
                    type: integer
                level:
                    type: string
                    enum: ["info", "warn", "error"]
                message:
                    type: string
                object:
                    type: string
                    enum: [fine_tuning.job.event]
            required:
                - id
                - object
                - created_at
                - level
                - message
            x-oaiMeta:
                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"
                    }

        FineTuningJobCheckpoint:
            type: object
            title: FineTuningJobCheckpoint
            description: |
                The `fine_tuning.job.checkpoint` object represents a model checkpoint for a fine-tuning job that is ready to use.
            properties:
                id:
                    type: string
                    description: The checkpoint identifier, which can be referenced in the API endpoints.
                created_at:
                    type: integer
                    description: The Unix timestamp (in seconds) for when the checkpoint was created.
                fine_tuned_model_checkpoint:
                    type: string
                    description: The name of the fine-tuned checkpoint model that is created.
                step_number:
                    type: integer
                    description: The step number that the checkpoint was created at.
                metrics:
                    type: object
                    description: Metrics at the step number during the fine-tuning job.
                    properties:
                        step:
                            type: number
                        train_loss:
                            type: number
                        train_mean_token_accuracy:
                            type: number
                        valid_loss:
                            type: number
                        valid_mean_token_accuracy:
                            type: number
                        full_valid_loss:
                            type: number
                        full_valid_mean_token_accuracy:
                            type: number
                fine_tuning_job_id:
                    type: string
                    description: The name of the fine-tuning job that this checkpoint was created from.
                object:
                    type: string
                    description: The object type, which is always "fine_tuning.job.checkpoint".
                    enum: [fine_tuning.job.checkpoint]
            required:
                - created_at
                - fine_tuning_job_id
                - fine_tuned_model_checkpoint
                - id
                - metrics
                - object
                - step_number
            x-oaiMeta:
                name: The fine-tuning job checkpoint object
                example: |
                    {
                      "object": "fine_tuning.job.checkpoint",
                      "id": "ftckpt_qtZ5Gyk4BLq1SfLFWp3RtO3P",
                      "created_at": 1712211699,
                      "fine_tuned_model_checkpoint": "ft:gpt-3.5-turbo-0125:my-org:custom_suffix:9ABel2dg:ckpt-step-88",
                      "fine_tuning_job_id": "ftjob-fpbNQ3H1GrMehXRf8cO97xTN",
                      "metrics": {
                        "step": 88,
                        "train_loss": 0.478,
                        "train_mean_token_accuracy": 0.924,
                        "valid_loss": 10.112,
                        "valid_mean_token_accuracy": 0.145,
                        "full_valid_loss": 0.567,
                        "full_valid_mean_token_accuracy": 0.944
                      },
                      "step_number": 88
                    }

        FinetuneChatRequestInput:
            type: object
            description: The per-line training example of a fine-tuning input file for chat models
            properties:
                messages:
                    type: array
                    minItems: 1
                    items:
                      oneOf:
                      - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage"
                      - $ref: "#/components/schemas/ChatCompletionRequestUserMessage"
                      - $ref: "#/components/schemas/FineTuneChatCompletionRequestAssistantMessage"
                      - $ref: "#/components/schemas/FineTuneChatCompletionRequestFunctionMessage"
                      x-oaiExpandable: true
                functions:
                    description:
                        A list of functions the model may generate JSON inputs for.
                    type: array
                    minItems: 1
                    maxItems: 128
                    items:
                        $ref: "#/components/schemas/ChatCompletionFunctions"
            x-oaiMeta:
                name: Training format for chat models
                example: |
                  {"messages":[{"role":"user","content":"What is the weather in San Francisco?"},{"role":"assistant","function_call":{"name":"get_current_weather","arguments":"{\"location\": \"San Francisco, USA\", \"format\": \"celsius\"}"}}],"functions":[{"name":"get_current_weather","description":"Get the current weather","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and country, eg. San Francisco, USA"},"format":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location","format"]}}]}

        FinetuneCompletionRequestInput:
            type: object
            description: The per-line training example of a fine-tuning input file for completions models
            properties:
                prompt:
                    type: string
                    description: The input prompt for this training example.
                completion:
                    type: string
                    description: The desired completion for this training example.
            x-oaiMeta:
                name: Training format for completions models
                example: |
                    {"prompt": "What is the answer to 2+2", "completion": "4"}

        CompletionUsage:
            type: object
            description: Usage statistics for the completion request.
            properties:
                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

        RunCompletionUsage:
            type: object
            description: Usage statistics related to the run. This value will be `null` if the run is not in a terminal state (i.e. `in_progress`, `queued`, etc.).
            properties:
                completion_tokens:
                    type: integer
                    description: Number of completion tokens used over the course of the run.
                prompt_tokens:
                    type: integer
                    description: Number of prompt tokens used over the course of the run.
                total_tokens:
                    type: integer
                    description: Total number of tokens used (prompt + completion).
            required:
                - prompt_tokens
                - completion_tokens
                - total_tokens
            nullable: true

        RunStepCompletionUsage:
            type: object
            description: Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`.
            properties:
                completion_tokens:
                    type: integer
                    description: Number of completion tokens used over the course of the run step.
                prompt_tokens:
                    type: integer
                    description: Number of prompt tokens used over the course of the run step.
                total_tokens:
                    type: integer
                    description: Total number of tokens used (prompt + completion).
            required:
                - prompt_tokens
                - completion_tokens
                - total_tokens
            nullable: true

        AssistantsApiResponseFormatOption:
            description: |
                Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models/gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4), and all GPT-3.5 Turbo models since `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.
            oneOf:
                - type: string
                  description: >
                      `auto` is the default value
                  enum: [none, auto]
                - $ref: "#/components/schemas/AssistantsApiResponseFormat"
            x-oaiExpandable: true

        AssistantsApiResponseFormat:
            type: object
            description: |
                An object describing the expected output of the model. If `json_object` only `function` type `tools` are allowed to be passed to the Run. If `text` the model can return text or any value needed.
            properties:
                type:
                    type: string
                    enum: ["text", "json_object"]
                    example: "json_object"
                    default: "text"
                    description: Must be one of `text` or `json_object`.

        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
                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
                model:
                    description: *model_description
                    type: string
                instructions:
                    description: &assistant_instructions_param_description |
                        The system instructions that the assistant uses. The maximum length is 256,000 characters.
                    type: string
                    maxLength: 256000
                    nullable: true
                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`, `file_search`, or `function`.
                    default: []
                    type: array
                    maxItems: 128
                    items:
                        oneOf:
                            - $ref: "#/components/schemas/AssistantToolsCode"
                            - $ref: "#/components/schemas/AssistantToolsFileSearch"
                            - $ref: "#/components/schemas/AssistantToolsFunction"
                        x-oaiExpandable: true
                tool_resources:
                    type: object
                    description: |
                        A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.
                    properties:
                        code_interpreter:
                            type: object
                            properties:
                                file_ids:
                                    type: array
                                    description: |
                                        A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool.
                                    default: []
                                    maxItems: 20
                                    items:
                                        type: string
                        file_search:
                            type: object
                            properties:
                                vector_store_ids:
                                    type: array
                                    description: |
                                        The ID of the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.
                                    maxItems: 1
                                    items:
                                        type: string
                    nullable: true
                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
                temperature:
                    description: &run_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.
                    type: number
                    minimum: 0
                    maximum: 2
                    default: 1
                    example: 1
                    nullable: true
                top_p:
                    type: number
                    minimum: 0
                    maximum: 1
                    default: 1
                    example: 1
                    nullable: true
                    description: &run_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.
                response_format:
                    $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
                    nullable: true
            required:
                - id
                - object
                - created_at
                - name
                - description
                - model
                - instructions
                - tools
                - metadata
            x-oaiMeta:
                name: The assistant object
                beta: true
                example: *create_assistants_example

        CreateAssistantRequest:
            type: object
            additionalProperties: false
            properties:
                model:
                    description: *model_description
                    example: "gpt-4-turbo"
                    anyOf:
                        - type: string
                        - type: string
                          enum:
                              [
                                  "gpt-4o",
                                  "gpt-4o-2024-05-13",
                                  "gpt-4-turbo",
                                  "gpt-4-turbo-2024-04-09",
                                  "gpt-4-0125-preview",
                                  "gpt-4-turbo-preview",
                                  "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-0613",
                                  "gpt-3.5-turbo-1106",
                                  "gpt-3.5-turbo-0125",
                                  "gpt-3.5-turbo-16k-0613",
                              ]
                    x-oaiTypeLabel: string
                name:
                    description: *assistant_name_param_description
                    type: string
                    nullable: true
                    maxLength: 256
                description:
                    description: *assistant_description_param_description
                    type: string
                    nullable: true
                    maxLength: 512
                instructions:
                    description: *assistant_instructions_param_description
                    type: string
                    nullable: true
                    maxLength: 256000
                tools:
                    description: *assistant_tools_param_description
                    default: []
                    type: array
                    maxItems: 128
                    items:
                        oneOf:
                            - $ref: "#/components/schemas/AssistantToolsCode"
                            - $ref: "#/components/schemas/AssistantToolsFileSearch"
                            - $ref: "#/components/schemas/AssistantToolsFunction"
                        x-oaiExpandable: true
                tool_resources:
                    type: object
                    description: |
                        A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.
                    properties:
                        code_interpreter:
                            type: object
                            properties:
                                file_ids:
                                    type: array
                                    description: |
                                        A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool.
                                    default: []
                                    maxItems: 20
                                    items:
                                        type: string
                        file_search:
                            type: object
                            properties:
                                vector_store_ids:
                                    type: array
                                    description: |
                                        The [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.
                                    maxItems: 1
                                    items:
                                        type: string
                                vector_stores:
                                    type: array
                                    description: |
                                        A helper to create a [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) with file_ids and attach it to this assistant. There can be a maximum of 1 vector store attached to the assistant.
                                    maxItems: 1
                                    items:
                                        type: object
                                        properties:
                                            file_ids:
                                                type: array
                                                description: |
                                                    A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to add to the vector store. There can be a maximum of 10000 files in a vector store.
                                                maxItems: 10000
                                                items:
                                                    type: string
                                            chunking_strategy:
                                                # Ideally we'd reuse the chunking strategy schema here, but it doesn't expand properly
                                                type: object
                                                description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy.
                                                oneOf:
                                                    - type: object
                                                      title: Auto Chunking Strategy
                                                      description: The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`.
                                                      additionalProperties: false
                                                      properties:
                                                          type:
                                                              type: string
                                                              description: Always `auto`.
                                                              enum: ["auto"]
                                                      required:
                                                          - type
                                                    - type: object
                                                      title: Static Chunking Strategy
                                                      additionalProperties: false
                                                      properties:
                                                          type:
                                                              type: string
                                                              description: Always `static`.
                                                              enum: ["static"]
                                                          static:
                                                              type: object
                                                              additionalProperties: false
                                                              properties:
                                                                  max_chunk_size_tokens:
                                                                      type: integer
                                                                      minimum: 100
                                                                      maximum: 4096
                                                                      description: The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the maximum value is `4096`.
                                                                  chunk_overlap_tokens:
                                                                      type: integer
                                                                      description: |
                                                                          The number of tokens that overlap between chunks. The default value is `400`.

                                                                          Note that the overlap must not exceed half of `max_chunk_size_tokens`.
                                                              required:
                                                                  - max_chunk_size_tokens
                                                                  - chunk_overlap_tokens
                                                      required:
                                                          - type
                                                          - static
                                                x-oaiExpandable: true
                                            metadata:
                                                type: object
                                                description: |
                                                    Set of 16 key-value pairs that can be attached to a vector store. This can be useful for storing additional information about the vector store in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.
                                                x-oaiTypeLabel: map
                            oneOf:
                                - required: [vector_store_ids]
                                - required: [vector_stores]
                    nullable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true
                temperature:
                    description: *run_temperature_description
                    type: number
                    minimum: 0
                    maximum: 2
                    default: 1
                    example: 1
                    nullable: true
                top_p:
                    type: number
                    minimum: 0
                    maximum: 1
                    default: 1
                    example: 1
                    nullable: true
                    description: *run_top_p_description
                response_format:
                    $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
                    nullable: true
            required:
                - model

        ModifyAssistantRequest:
            type: object
            additionalProperties: false
            properties:
                model:
                    description: *model_description
                    anyOf:
                        - type: string
                name:
                    description: *assistant_name_param_description
                    type: string
                    nullable: true
                    maxLength: 256
                description:
                    description: *assistant_description_param_description
                    type: string
                    nullable: true
                    maxLength: 512
                instructions:
                    description: *assistant_instructions_param_description
                    type: string
                    nullable: true
                    maxLength: 256000
                tools:
                    description: *assistant_tools_param_description
                    default: []
                    type: array
                    maxItems: 128
                    items:
                        oneOf:
                            - $ref: "#/components/schemas/AssistantToolsCode"
                            - $ref: "#/components/schemas/AssistantToolsFileSearch"
                            - $ref: "#/components/schemas/AssistantToolsFunction"
                        x-oaiExpandable: true
                tool_resources:
                    type: object
                    description: |
                        A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.
                    properties:
                        code_interpreter:
                            type: object
                            properties:
                                file_ids:
                                    type: array
                                    description: |
                                        Overrides the list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool.
                                    default: []
                                    maxItems: 20
                                    items:
                                        type: string
                        file_search:
                            type: object
                            properties:
                                vector_store_ids:
                                    type: array
                                    description: |
                                        Overrides the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.
                                    maxItems: 1
                                    items:
                                        type: string
                    nullable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true
                temperature:
                    description: *run_temperature_description
                    type: number
                    minimum: 0
                    maximum: 2
                    default: 1
                    example: 1
                    nullable: true
                top_p:
                    type: number
                    minimum: 0
                    maximum: 1
                    default: 1
                    example: 1
                    nullable: true
                    description: *run_top_p_description
                response_format:
                    $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
                    nullable: true

        DeleteAssistantResponse:
            type: object
            properties:
                id:
                    type: string
                deleted:
                    type: boolean
                object:
                    type: string
                    enum: [assistant.deleted]
            required:
                - id
                - object
                - deleted

        ListAssistantsResponse:
            type: object
            properties:
                object:
                    type: string
                    example: "list"
                data:
                    type: array
                    items:
                        $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

        AssistantToolsCode:
            type: object
            title: Code interpreter tool
            properties:
                type:
                    type: string
                    description: "The type of tool being defined: `code_interpreter`"
                    enum: ["code_interpreter"]
            required:
                - type

        AssistantToolsFileSearch:
            type: object
            title: FileSearch tool
            properties:
                type:
                    type: string
                    description: "The type of tool being defined: `file_search`"
                    enum: ["file_search"]
                file_search:
                    type: object
                    description: Overrides for the file search tool.
                    properties:
                        max_num_results:
                            type: integer
                            minimum: 1
                            maximum: 50
                            description: |
                                The maximum number of results the file search tool should output. The default is 20 for gpt-4* models and 5 for gpt-3.5-turbo. This number should be between 1 and 50 inclusive.

                                Note that the file search tool may output fewer than `max_num_results` results. See the [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search/number-of-chunks-returned) for more information.
            required:
                - type

        AssistantToolsFileSearchTypeOnly:
            type: object
            title: FileSearch tool
            properties:
                type:
                    type: string
                    description: "The type of tool being defined: `file_search`"
                    enum: ["file_search"]
            required:
                - type

        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

        TruncationObject:
            type: object
            title: Thread Truncation Controls
            description: Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run.
            properties:
                type:
                    type: string
                    description: The truncation strategy to use for the thread. The default is `auto`. If set to `last_messages`, the thread will be truncated to the n most recent messages in the thread. When set to `auto`, messages in the middle of the thread will be dropped to fit the context length of the model, `max_prompt_tokens`.
                    enum: ["auto", "last_messages"]
                last_messages:
                    type: integer
                    description: The number of most recent messages from the thread when constructing the context for the run.
                    minimum: 1
                    nullable: true
            required:
                - type

        AssistantsApiToolChoiceOption:
            description: |
                Controls which (if any) tool is called by the model.
                `none` means the model will not call any tools and instead generates a message.
                `auto` is the default value and means the model can pick between generating a message or calling one or more tools.
                `required` means the model must call one or more tools before responding to the user.
                Specifying a particular tool like `{"type": "file_search"}` or `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool.

            oneOf:
                - type: string
                  description: >
                      `none` means the model will not call any tools and instead generates a message.
                      `auto` means the model can pick between generating a message or calling one or more tools.
                      `required` means the model must call one or more tools before responding to the user.
                  enum: [none, auto, required]
                - $ref: "#/components/schemas/AssistantsNamedToolChoice"
            x-oaiExpandable: true

        AssistantsNamedToolChoice:
            type: object
            description: Specifies a tool the model should use. Use to force the model to call a specific tool.
            properties:
                type:
                    type: string
                    enum: ["function", "code_interpreter", "file_search"]
                    description: The type of the tool. If type is `function`, the function name must be set
                function:
                    type: object
                    properties:
                        name:
                            type: string
                            description: The name of the function to call.
                    required:
                        - name
            required:
                - type

        RunObject:
            type: object
            title: A run on a thread
            description: Represents an execution run on a [thread](https://platform.openai.com/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
                    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](https://platform.openai.com/docs/api-reference/threads) that was executed on as a part of this run.
                    type: string
                assistant_id:
                    description: The ID of the [assistant](https://platform.openai.com/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`, `incomplete`, or `expired`.
                    type: string
                    enum:
                        [
                            "queued",
                            "in_progress",
                            "requires_action",
                            "cancelling",
                            "cancelled",
                            "failed",
                            "completed",
                            "incomplete",
                            "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`, `rate_limit_exceeded`, or `invalid_prompt`.
                            enum:
                                ["server_error", "rate_limit_exceeded", "invalid_prompt"]
                        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
                    nullable: true
                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
                incomplete_details:
                    description: Details on why the run is incomplete. Will be `null` if the run is not incomplete.
                    type: object
                    nullable: true
                    properties:
                        reason:
                            description: The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run.
                            type: string
                            enum: ["max_completion_tokens", "max_prompt_tokens"]
                model:
                    description: The model that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run.
                    type: string
                instructions:
                    description: The instructions that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run.
                    type: string
                tools:
                    description: The list of tools that the [assistant](https://platform.openai.com/docs/api-reference/assistants) used for this run.
                    default: []
                    type: array
                    maxItems: 20
                    items:
                        oneOf:
                            - $ref: "#/components/schemas/AssistantToolsCode"
                            - $ref: "#/components/schemas/AssistantToolsFileSearch"
                            - $ref: "#/components/schemas/AssistantToolsFunction"
                        x-oaiExpandable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true
                usage:
                    $ref: "#/components/schemas/RunCompletionUsage"
                temperature:
                    description: The sampling temperature used for this run. If not set, defaults to 1.
                    type: number
                    nullable: true
                top_p:
                    description: The nucleus sampling value used for this run. If not set, defaults to 1.
                    type: number
                    nullable: true
                max_prompt_tokens:
                    type: integer
                    nullable: true
                    description: |
                        The maximum number of prompt tokens specified to have been used over the course of the run.
                    minimum: 256
                max_completion_tokens:
                    type: integer
                    nullable: true
                    description: |
                        The maximum number of completion tokens specified to have been used over the course of the run.
                    minimum: 256
                truncation_strategy:
                    $ref: "#/components/schemas/TruncationObject"
                    nullable: true
                tool_choice:
                    $ref: "#/components/schemas/AssistantsApiToolChoiceOption"
                    nullable: true
                parallel_tool_calls:
                    $ref: "#/components/schemas/ParallelToolCalls"
                response_format:
                    $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
                    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
                - instructions
                - tools
                - metadata
                - usage
                - incomplete_details
                - max_prompt_tokens
                - max_completion_tokens
                - truncation_strategy
                - tool_choice
                - parallel_tool_calls
                - response_format
            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-turbo",
                      "instructions": null,
                      "tools": [{"type": "file_search"}, {"type": "code_interpreter"}],
                      "metadata": {},
                      "incomplete_details": null,
                      "usage": {
                        "prompt_tokens": 123,
                        "completion_tokens": 456,
                        "total_tokens": 579
                      },
                      "temperature": 1.0,
                      "top_p": 1.0,
                      "max_prompt_tokens": 1000,
                      "max_completion_tokens": 1000,
                      "truncation_strategy": {
                        "type": "auto",
                        "last_messages": null
                      },
                      "response_format": "auto",
                      "tool_choice": "auto",
                      "parallel_tool_calls": true
                    }
        CreateRunRequest:
            type: object
            additionalProperties: false
            properties:
                assistant_id:
                    description: The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to execute this run.
                    type: string
                model:
                    description: The ID of the [Model](https://platform.openai.com/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.
                    example: "gpt-4-turbo"
                    anyOf:
                        - type: string
                        - type: string
                          enum:
                              [
                                  "gpt-4o",
                                  "gpt-4o-2024-05-13",
                                  "gpt-4-turbo",
                                  "gpt-4-turbo-2024-04-09",
                                  "gpt-4-0125-preview",
                                  "gpt-4-turbo-preview",
                                  "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-0613",
                                  "gpt-3.5-turbo-1106",
                                  "gpt-3.5-turbo-0125",
                                  "gpt-3.5-turbo-16k-0613",
                              ]
                    x-oaiTypeLabel: string
                    nullable: true
                instructions:
                    description: Overrides the [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant) of the assistant. This is useful for modifying the behavior on a per-run basis.
                    type: string
                    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
                    nullable: true
                additional_messages:
                    description: Adds additional messages to the thread before creating the run.
                    type: array
                    items:
                        $ref: "#/components/schemas/CreateMessageRequest"
                    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/AssistantToolsFileSearch"
                            - $ref: "#/components/schemas/AssistantToolsFunction"
                        x-oaiExpandable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true
                temperature:
                    type: number
                    minimum: 0
                    maximum: 2
                    default: 1
                    example: 1
                    nullable: true
                    description: *run_temperature_description
                top_p:
                    type: number
                    minimum: 0
                    maximum: 1
                    default: 1
                    example: 1
                    nullable: true
                    description: *run_top_p_description
                stream:
                    type: boolean
                    nullable: true
                    description: |
                        If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message.
                max_prompt_tokens:
                    type: integer
                    nullable: true
                    description: |
                        The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info.
                    minimum: 256
                max_completion_tokens:
                    type: integer
                    nullable: true
                    description: |
                        The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info.
                    minimum: 256
                truncation_strategy:
                    $ref: "#/components/schemas/TruncationObject"
                    nullable: true
                tool_choice:
                    $ref: "#/components/schemas/AssistantsApiToolChoiceOption"
                    nullable: true
                parallel_tool_calls:
                    $ref: "#/components/schemas/ParallelToolCalls"
                response_format:
                    $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
                    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:
                - 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.
                stream:
                    type: boolean
                    nullable: true
                    description: |
                        If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message.
            required:
                - tool_outputs

        RunToolCallObject:
            type: object
            description: Tool call objects
            properties:
                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](https://platform.openai.com/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:
                - id
                - type
                - function

        CreateThreadAndRunRequest:
            type: object
            additionalProperties: false
            properties:
                assistant_id:
                    description: The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to execute this run.
                    type: string
                thread:
                    $ref: "#/components/schemas/CreateThreadRequest"
                    description: If no thread is provided, an empty thread will be created.
                model:
                    description: The ID of the [Model](https://platform.openai.com/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.
                    example: "gpt-4-turbo"
                    anyOf:
                        - type: string
                        - type: string
                          enum:
                              [
                                  "gpt-4o",
                                  "gpt-4o-2024-05-13",
                                  "gpt-4-turbo",
                                  "gpt-4-turbo-2024-04-09",
                                  "gpt-4-0125-preview",
                                  "gpt-4-turbo-preview",
                                  "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-0613",
                                  "gpt-3.5-turbo-1106",
                                  "gpt-3.5-turbo-0125",
                                  "gpt-3.5-turbo-16k-0613",
                              ]
                    x-oaiTypeLabel: string
                    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
                    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/AssistantToolsFileSearch"
                            - $ref: "#/components/schemas/AssistantToolsFunction"
                tool_resources:
                    type: object
                    description: |
                        A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.
                    properties:
                        code_interpreter:
                            type: object
                            properties:
                                file_ids:
                                    type: array
                                    description: |
                                        A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool.
                                    default: []
                                    maxItems: 20
                                    items:
                                        type: string
                        file_search:
                            type: object
                            properties:
                                vector_store_ids:
                                    type: array
                                    description: |
                                        The ID of the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.
                                    maxItems: 1
                                    items:
                                        type: string
                    nullable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true
                temperature:
                    type: number
                    minimum: 0
                    maximum: 2
                    default: 1
                    example: 1
                    nullable: true
                    description: *run_temperature_description
                top_p:
                    type: number
                    minimum: 0
                    maximum: 1
                    default: 1
                    example: 1
                    nullable: true
                    description: *run_top_p_description
                stream:
                    type: boolean
                    nullable: true
                    description: |
                        If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message.
                max_prompt_tokens:
                    type: integer
                    nullable: true
                    description: |
                        The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info.
                    minimum: 256
                max_completion_tokens:
                    type: integer
                    nullable: true
                    description: |
                        The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info.
                    minimum: 256
                truncation_strategy:
                    $ref: "#/components/schemas/TruncationObject"
                    nullable: true
                tool_choice:
                    $ref: "#/components/schemas/AssistantsApiToolChoiceOption"
                    nullable: true
                parallel_tool_calls:
                    $ref: "#/components/schemas/ParallelToolCalls"
                response_format:
                    $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
                    nullable: true
            required:
                - thread_id
                - assistant_id

        ThreadObject:
            type: object
            title: Thread
            description: Represents a thread that contains [messages](https://platform.openai.com/docs/api-reference/messages).
            properties:
                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
                tool_resources:
                    type: object
                    description: |
                        A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.
                    properties:
                        code_interpreter:
                            type: object
                            properties:
                                file_ids:
                                    type: array
                                    description: |
                                        A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool.
                                    default: []
                                    maxItems: 20
                                    items:
                                        type: string
                        file_search:
                            type: object
                            properties:
                                vector_store_ids:
                                    type: array
                                    description: |
                                        The [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread.
                                    maxItems: 1
                                    items:
                                        type: string
                    nullable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true
            required:
                - id
                - object
                - created_at
                - tool_resources
                - metadata
            x-oaiMeta:
                name: The thread object
                beta: true
                example: |
                    {
                      "id": "thread_abc123",
                      "object": "thread",
                      "created_at": 1698107661,
                      "metadata": {}
                    }

        CreateThreadRequest:
            type: object
            additionalProperties: false
            properties:
                messages:
                    description: A list of [messages](https://platform.openai.com/docs/api-reference/messages) to start the thread with.
                    type: array
                    items:
                        $ref: "#/components/schemas/CreateMessageRequest"
                tool_resources:
                    type: object
                    description: |
                        A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.
                    properties:
                        code_interpreter:
                            type: object
                            properties:
                                file_ids:
                                    type: array
                                    description: |
                                        A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool.
                                    default: []
                                    maxItems: 20
                                    items:
                                        type: string
                        file_search:
                            type: object
                            properties:
                                vector_store_ids:
                                    type: array
                                    description: |
                                        The [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread.
                                    maxItems: 1
                                    items:
                                        type: string
                                vector_stores:
                                    type: array
                                    description: |
                                        A helper to create a [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) with file_ids and attach it to this thread. There can be a maximum of 1 vector store attached to the thread.
                                    maxItems: 1
                                    items:
                                        type: object
                                        properties:
                                            file_ids:
                                                type: array
                                                description: |
                                                    A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to add to the vector store. There can be a maximum of 10000 files in a vector store.
                                                maxItems: 10000
                                                items:
                                                    type: string
                                            chunking_strategy:
                                                # Ideally we'd reuse the chunking strategy schema here, but it doesn't expand properly
                                                type: object
                                                description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy.
                                                oneOf:
                                                    - type: object
                                                      title: Auto Chunking Strategy
                                                      description: The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`.
                                                      additionalProperties: false
                                                      properties:
                                                          type:
                                                              type: string
                                                              description: Always `auto`.
                                                              enum: ["auto"]
                                                      required:
                                                          - type
                                                    - type: object
                                                      title: Static Chunking Strategy
                                                      additionalProperties: false
                                                      properties:
                                                          type:
                                                              type: string
                                                              description: Always `static`.
                                                              enum: ["static"]
                                                          static:
                                                              type: object
                                                              additionalProperties: false
                                                              properties:
                                                                  max_chunk_size_tokens:
                                                                      type: integer
                                                                      minimum: 100
                                                                      maximum: 4096
                                                                      description: The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the maximum value is `4096`.
                                                                  chunk_overlap_tokens:
                                                                      type: integer
                                                                      description: |
                                                                          The number of tokens that overlap between chunks. The default value is `400`.

                                                                          Note that the overlap must not exceed half of `max_chunk_size_tokens`.
                                                              required:
                                                                  - max_chunk_size_tokens
                                                                  - chunk_overlap_tokens
                                                      required:
                                                          - type
                                                          - static
                                                x-oaiExpandable: true
                                            metadata:
                                                type: object
                                                description: |
                                                    Set of 16 key-value pairs that can be attached to a vector store. This can be useful for storing additional information about the vector store in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.
                                                x-oaiTypeLabel: map
                                        x-oaiExpandable: true
                            oneOf:
                                - required: [vector_store_ids]
                                - required: [vector_stores]
                    nullable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true

        ModifyThreadRequest:
            type: object
            additionalProperties: false
            properties:
                tool_resources:
                    type: object
                    description: |
                        A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.
                    properties:
                        code_interpreter:
                            type: object
                            properties:
                                file_ids:
                                    type: array
                                    description: |
                                        A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool.
                                    default: []
                                    maxItems: 20
                                    items:
                                        type: string
                        file_search:
                            type: object
                            properties:
                                vector_store_ids:
                                    type: array
                                    description: |
                                        The [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread.
                                    maxItems: 1
                                    items:
                                        type: string
                    nullable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true

        DeleteThreadResponse:
            type: object
            properties:
                id:
                    type: string
                deleted:
                    type: boolean
                object:
                    type: string
                    enum: [thread.deleted]
            required:
                - id
                - object
                - deleted

        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](https://platform.openai.com/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.message`.
                    type: string
                    enum: ["thread.message"]
                created_at:
                    description: The Unix timestamp (in seconds) for when the message was created.
                    type: integer
                thread_id:
                    description: The [thread](https://platform.openai.com/docs/api-reference/threads) ID that this message belongs to.
                    type: string
                status:
                    description: The status of the message, which can be either `in_progress`, `incomplete`, or `completed`.
                    type: string
                    enum: ["in_progress", "incomplete", "completed"]
                incomplete_details:
                    description: On an incomplete message, details about why the message is incomplete.
                    type: object
                    properties:
                        reason:
                            type: string
                            description: The reason the message is incomplete.
                            enum:
                                [
                                    "content_filter",
                                    "max_tokens",
                                    "run_cancelled",
                                    "run_expired",
                                    "run_failed",
                                ]
                    nullable: true
                    required:
                        - reason
                completed_at:
                    description: The Unix timestamp (in seconds) for when the message was completed.
                    type: integer
                    nullable: true
                incomplete_at:
                    description: The Unix timestamp (in seconds) for when the message was marked as incomplete.
                    type: integer
                    nullable: true
                role:
                    description: The entity that produced the message. One of `user` or `assistant`.
                    type: string
                    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/MessageContentImageUrlObject"
                            - $ref: "#/components/schemas/MessageContentTextObject"
                        x-oaiExpandable: true
                assistant_id:
                    description: If applicable, the ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) that authored this message.
                    type: string
                    nullable: true
                run_id:
                    description: The ID of the [run](https://platform.openai.com/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints.
                    type: string
                    nullable: true
                attachments:
                    type: array
                    items:
                        type: object
                        properties:
                            file_id:
                                type: string
                                description: The ID of the file to attach to the message.
                            tools:
                                description: The tools to add this file to.
                                type: array
                                items:
                                    oneOf:
                                        - $ref: "#/components/schemas/AssistantToolsCode"
                                        - $ref: "#/components/schemas/AssistantToolsFileSearchTypeOnly"
                                    x-oaiExpandable: true
                    description: A list of files attached to the message, and the tools they were added to.
                    nullable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true
            required:
                - id
                - object
                - created_at
                - thread_id
                - status
                - incomplete_details
                - completed_at
                - incomplete_at
                - role
                - content
                - assistant_id
                - run_id
                - attachments
                - metadata
            x-oaiMeta:
                name: The message object
                beta: true
                example: |
                    {
                      "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": []
                          }
                        }
                      ],
                      "assistant_id": "asst_abc123",
                      "run_id": "run_abc123",
                      "attachments": [],
                      "metadata": {}
                    }

        MessageDeltaObject:
            type: object
            title: Message delta object
            description: |
                Represents a message delta i.e. any changed fields on a message during streaming.
            properties:
                id:
                    description: The identifier of the message, which can be referenced in API endpoints.
                    type: string
                object:
                    description: The object type, which is always `thread.message.delta`.
                    type: string
                    enum: ["thread.message.delta"]
                delta:
                    description: The delta containing the fields that have changed on the Message.
                    type: object
                    properties:
                        role:
                            description: The entity that produced the message. One of `user` or `assistant`.
                            type: string
                            enum: ["user", "assistant"]
                        content:
                            description: The content of the message in array of text and/or images.
                            type: array
                            items:
                                oneOf:
                                    - $ref: "#/components/schemas/MessageDeltaContentImageFileObject"
                                    - $ref: "#/components/schemas/MessageDeltaContentTextObject"
                                    - $ref: "#/components/schemas/MessageDeltaContentImageUrlObject"
                                x-oaiExpandable: true
            required:
                - id
                - object
                - delta
            x-oaiMeta:
                name: The message delta object
                beta: true
                example: |
                    {
                      "id": "msg_123",
                      "object": "thread.message.delta",
                      "delta": {
                        "content": [
                          {
                            "index": 0,
                            "type": "text",
                            "text": { "value": "Hello", "annotations": [] }
                          }
                        ]
                      }
                    }

        CreateMessageRequest:
            type: object
            additionalProperties: false
            required:
                - role
                - content
            properties:
                role:
                    type: string
                    enum: ["user", "assistant"]
                    description: |
                        The role of the entity that is creating the message. Allowed values include:
                        - `user`: Indicates the message is sent by an actual user and should be used in most cases to represent user-generated messages.
                        - `assistant`: Indicates the message is generated by the assistant. Use this value to insert messages from the assistant into the conversation.
                content:
                    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 images can be passed with `image_url` or `image_file`. Image types are only supported on [Vision-compatible models](https://platform.openai.com/docs/models/overview).
                          title: Array of content parts
                          items:
                              oneOf:
                                  - $ref: "#/components/schemas/MessageContentImageFileObject"
                                  - $ref: "#/components/schemas/MessageContentImageUrlObject"
                                  - $ref: "#/components/schemas/MessageRequestContentTextObject"
                              x-oaiExpandable: true
                          minItems: 1
                    x-oaiExpandable: true
                attachments:
                    type: array
                    items:
                        type: object
                        properties:
                            file_id:
                                type: string
                                description: The ID of the file to attach to the message.
                            tools:
                                description: The tools to add this file to.
                                type: array
                                items:
                                    oneOf:
                                        - $ref: "#/components/schemas/AssistantToolsCode"
                                        - $ref: "#/components/schemas/AssistantToolsFileSearchTypeOnly"
                                    x-oaiExpandable: true
                    description: A list of files attached to the message, and the tools they should be added to.
                    required:
                        - file_id
                        - tools
                    nullable: true
                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](https://platform.openai.com/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](https://platform.openai.com/docs/api-reference/files) ID of the image in the message content. Set `purpose="vision"` when uploading the File if you need to later display the file content.
                            type: string
                        detail:
                            type: string
                            description: Specifies the detail level of the image if specified by the user. `low` uses fewer tokens, you can opt in to high resolution using `high`.
                            enum: ["auto", "low", "high"]
                            default: "auto"
                    required:
                        - file_id
            required:
                - type
                - image_file

        MessageDeltaContentImageFileObject:
            title: Image file
            type: object
            description: References an image [File](https://platform.openai.com/docs/api-reference/files) in the content of a message.
            properties:
                index:
                    type: integer
                    description: The index of the content part in the message.
                type:
                    description: Always `image_file`.
                    type: string
                    enum: ["image_file"]
                image_file:
                    type: object
                    properties:
                        file_id:
                            description: The [File](https://platform.openai.com/docs/api-reference/files) ID of the image in the message content. Set `purpose="vision"` when uploading the File if you need to later display the file content.
                            type: string
                        detail:
                            type: string
                            description: Specifies the detail level of the image if specified by the user. `low` uses fewer tokens, you can opt in to high resolution using `high`.
                            enum: ["auto", "low", "high"]
                            default: "auto"
            required:
                - index
                - type

        MessageContentImageUrlObject:
            title: Image URL
            type: object
            description: References an image URL in the content of a message.
            properties:
                type:
                    type: string
                    enum: ["image_url"]
                    description: The type of the content part.
                image_url:
                    type: object
                    properties:
                        url:
                            type: string
                            description: "The external URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp."
                            format: uri
                        detail:
                            type: string
                            description: Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`. Default value is `auto`
                            enum: ["auto", "low", "high"]
                            default: "auto"
                    required:
                        - url
            required:
                - type
                - image_url

        MessageDeltaContentImageUrlObject:
            title: Image URL
            type: object
            description: References an image URL in the content of a message.
            properties:
                index:
                    type: integer
                    description: The index of the content part in the message.
                type:
                    description: Always `image_url`.
                    type: string
                    enum: ["image_url"]
                image_url:
                    type: object
                    properties:
                        url:
                            description: "The URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp."
                            type: string
                        detail:
                            type: string
                            description: Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`.
                            enum: ["auto", "low", "high"]
                            default: "auto"
            required:
                - index
                - type

        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

        MessageRequestContentTextObject:
            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: string
                    description: Text content to be sent to the model
            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 "file_search" 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
                    minimum: 0
            required:
                - type
                - text
                - file_path
                - start_index
                - end_index

        MessageDeltaContentTextObject:
            title: Text
            type: object
            description: The text content that is part of a message.
            properties:
                index:
                    type: integer
                    description: The index of the content part in the message.
                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/MessageDeltaContentTextAnnotationsFileCitationObject"
                                    - $ref: "#/components/schemas/MessageDeltaContentTextAnnotationsFilePathObject"
                                x-oaiExpandable: true
            required:
                - index
                - type

        MessageDeltaContentTextAnnotationsFileCitationObject:
            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 "file_search" tool to search files.
            properties:
                index:
                    type: integer
                    description: The index of the annotation in the text content part.
                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
                start_index:
                    type: integer
                    minimum: 0
                end_index:
                    type: integer
                    minimum: 0
            required:
                - index
                - type

        MessageDeltaContentTextAnnotationsFilePathObject:
            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:
                index:
                    type: integer
                    description: The index of the annotation in the text content part.
                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
                start_index:
                    type: integer
                    minimum: 0
                end_index:
                    type: integer
                    minimum: 0
            required:
                - index
                - type

        RunStepObject:
            type: object
            title: Run steps
            description: |
                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
                object:
                    description: The object type, which is always `thread.run.step`.
                    type: string
                    enum: ["thread.run.step"]
                created_at:
                    description: The Unix timestamp (in seconds) for when the run step was created.
                    type: integer
                assistant_id:
                    description: The ID of the [assistant](https://platform.openai.com/docs/api-reference/assistants) associated with the run step.
                    type: string
                thread_id:
                    description: The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) that was run.
                    type: string
                run_id:
                    description: The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that this run step is a part of.
                    type: string
                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
                    enum: ["in_progress", "cancelled", "failed", "completed", "expired"]
                step_details:
                    type: object
                    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
                    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
                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
                usage:
                    $ref: "#/components/schemas/RunStepCompletionUsage"
            required:
                - id
                - object
                - created_at
                - assistant_id
                - thread_id
                - run_id
                - type
                - status
                - step_details
                - last_error
                - expired_at
                - cancelled_at
                - failed_at
                - completed_at
                - metadata
                - usage
            x-oaiMeta:
                name: The run step object
                beta: true
                example: *run_step_object_example

        RunStepDeltaObject:
            type: object
            title: Run step delta object
            description: |
                Represents a run step delta i.e. any changed fields on a run step during streaming.
            properties:
                id:
                    description: The identifier of the run step, which can be referenced in API endpoints.
                    type: string
                object:
                    description: The object type, which is always `thread.run.step.delta`.
                    type: string
                    enum: ["thread.run.step.delta"]
                delta:
                    description: The delta containing the fields that have changed on the run step.
                    type: object
                    properties:
                        step_details:
                            type: object
                            description: The details of the run step.
                            oneOf:
                                - $ref: "#/components/schemas/RunStepDeltaStepDetailsMessageCreationObject"
                                - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsObject"
                            x-oaiExpandable: true
            required:
                - id
                - object
                - delta
            x-oaiMeta:
                name: The run step delta object
                beta: true
                example: |
                    {
                      "id": "step_123",
                      "object": "thread.run.step.delta",
                      "delta": {
                        "step_details": {
                          "type": "tool_calls",
                          "tool_calls": [
                            {
                              "index": 0,
                              "id": "call_123",
                              "type": "code_interpreter",
                              "code_interpreter": { "input": "", "outputs": [] }
                            }
                          ]
                        }
                      }
                    }

        ListRunStepsResponse:
            properties:
                object:
                    type: string
                    example: "list"
                data:
                    type: array
                    items:
                        $ref: "#/components/schemas/RunStepObject"
                first_id:
                    type: string
                    example: "step_abc123"
                last_id:
                    type: string
                    example: "step_abc456"
                has_more:
                    type: boolean
                    example: false
            required:
                - object
                - data
                - first_id
                - last_id
                - has_more

        RunStepDetailsMessageCreationObject:
            title: Message creation
            type: object
            description: Details of the message creation by the run step.
            properties:
                type:
                    description: Always `message_creation`.
                    type: string
                    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

        RunStepDeltaStepDetailsMessageCreationObject:
            title: Message creation
            type: object
            description: Details of the message creation by the run step.
            properties:
                type:
                    description: Always `message_creation`.
                    type: string
                    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:
                - type

        RunStepDetailsToolCallsObject:
            title: Tool calls
            type: object
            description: Details of the tool call.
            properties:
                type:
                    description: Always `tool_calls`.
                    type: string
                    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`, `file_search`, or `function`.
                    items:
                        oneOf:
                            - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeObject"
                            - $ref: "#/components/schemas/RunStepDetailsToolCallsFileSearchObject"
                            - $ref: "#/components/schemas/RunStepDetailsToolCallsFunctionObject"
                        x-oaiExpandable: true
            required:
                - type
                - tool_calls

        RunStepDeltaStepDetailsToolCallsObject:
            title: Tool calls
            type: object
            description: Details of the tool call.
            properties:
                type:
                    description: Always `tool_calls`.
                    type: string
                    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`, `file_search`, or `function`.
                    items:
                        oneOf:
                            - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeObject"
                            - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsFileSearchObject"
                            - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsFunctionObject"
                        x-oaiExpandable: true
            required:
                - type

        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 ID of the tool call.
                type:
                    type: string
                    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

        RunStepDeltaStepDetailsToolCallsCodeObject:
            title: Code interpreter tool call
            type: object
            description: Details of the Code Interpreter tool call the run step was involved in.
            properties:
                index:
                    type: integer
                    description: The index of the tool call in the tool calls array.
                id:
                    type: string
                    description: The ID of the tool call.
                type:
                    type: string
                    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.
                    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/RunStepDeltaStepDetailsToolCallsCodeOutputLogsObject"
                                    - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeOutputImageObject"
                                x-oaiExpandable: true
            required:
                - index
                - type

        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
                    enum: ["logs"]
                logs:
                    type: string
                    description: The text output from the Code Interpreter tool call.
            required:
                - type
                - logs

        RunStepDeltaStepDetailsToolCallsCodeOutputLogsObject:
            title: Code interpreter log output
            type: object
            description: Text output from the Code Interpreter tool call as part of a run step.
            properties:
                index:
                    type: integer
                    description: The index of the output in the outputs array.
                type:
                    description: Always `logs`.
                    type: string
                    enum: ["logs"]
                logs:
                    type: string
                    description: The text output from the Code Interpreter tool call.
            required:
                - index
                - type

        RunStepDetailsToolCallsCodeOutputImageObject:
            title: Code Interpreter image output
            type: object
            properties:
                type:
                    description: Always `image`.
                    type: string
                    enum: ["image"]
                image:
                    type: object
                    properties:
                        file_id:
                            description: The [file](https://platform.openai.com/docs/api-reference/files) ID of the image.
                            type: string
                    required:
                        - file_id
            required:
                - type
                - image

        RunStepDeltaStepDetailsToolCallsCodeOutputImageObject:
            title: Code interpreter image output
            type: object
            properties:
                index:
                    type: integer
                    description: The index of the output in the outputs array.
                type:
                    description: Always `image`.
                    type: string
                    enum: ["image"]
                image:
                    type: object
                    properties:
                        file_id:
                            description: The [file](https://platform.openai.com/docs/api-reference/files) ID of the image.
                            type: string
            required:
                - index
                - type

        RunStepDetailsToolCallsFileSearchObject:
            title: File search 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 `file_search` for this type of tool call.
                    enum: ["file_search"]
                file_search:
                    type: object
                    description: For now, this is always going to be an empty object.
                    x-oaiTypeLabel: map
            required:
                - id
                - type
                - file_search

        RunStepDeltaStepDetailsToolCallsFileSearchObject:
            title: File search tool call
            type: object
            properties:
                index:
                    type: integer
                    description: The index of the tool call in the tool calls array.
                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 `file_search` for this type of tool call.
                    enum: ["file_search"]
                file_search:
                    type: object
                    description: For now, this is always going to be an empty object.
                    x-oaiTypeLabel: map
            required:
                - index
                - type
                - file_search

        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 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](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) yet.
                            nullable: true
                    required:
                        - name
                        - arguments
                        - output
            required:
                - id
                - type
                - function

        RunStepDeltaStepDetailsToolCallsFunctionObject:
            type: object
            title: Function tool call
            properties:
                index:
                    type: integer
                    description: The index of the tool call in the tool calls array.
                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 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](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) yet.
                            nullable: true
            required:
                - index
                - type

        VectorStoreExpirationAfter:
            type: object
            title: Vector store expiration policy
            description: The expiration policy for a vector store.
            properties:
                anchor:
                    description: "Anchor timestamp after which the expiration policy applies. Supported anchors: `last_active_at`."
                    type: string
                    enum: ["last_active_at"]
                days:
                    description: The number of days after the anchor time that the vector store will expire.
                    type: integer
                    minimum: 1
                    maximum: 365
            required:
                - anchor
                - days

        VectorStoreObject:
            type: object
            title: Vector store
            description: A vector store is a collection of processed files can be used by the `file_search` tool.
            properties:
                id:
                    description: The identifier, which can be referenced in API endpoints.
                    type: string
                object:
                    description: The object type, which is always `vector_store`.
                    type: string
                    enum: ["vector_store"]
                created_at:
                    description: The Unix timestamp (in seconds) for when the vector store was created.
                    type: integer
                name:
                    description: The name of the vector store.
                    type: string
                usage_bytes:
                    description: The total number of bytes used by the files in the vector store.
                    type: integer
                file_counts:
                    type: object
                    properties:
                        in_progress:
                            description: The number of files that are currently being processed.
                            type: integer
                        completed:
                            description: The number of files that have been successfully processed.
                            type: integer
                        failed:
                            description: The number of files that have failed to process.
                            type: integer
                        cancelled:
                            description: The number of files that were cancelled.
                            type: integer
                        total:
                            description: The total number of files.
                            type: integer
                    required:
                        - in_progress
                        - completed
                        - failed
                        - cancelled
                        - total
                status:
                    description: The status of the vector store, which can be either `expired`, `in_progress`, or `completed`. A status of `completed` indicates that the vector store is ready for use.
                    type: string
                    enum: ["expired", "in_progress", "completed"]
                expires_after:
                    $ref: "#/components/schemas/VectorStoreExpirationAfter"
                expires_at:
                    description: The Unix timestamp (in seconds) for when the vector store will expire.
                    type: integer
                    nullable: true
                last_active_at:
                    description: The Unix timestamp (in seconds) for when the vector store was last active.
                    type: integer
                    nullable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true
            required:
                - id
                - object
                - usage_bytes
                - created_at
                - status
                - last_active_at
                - name
                - file_counts
                - metadata
            x-oaiMeta:
                name: The vector store object
                beta: true
                example: |
                    {
                      "id": "vs_123",
                      "object": "vector_store",
                      "created_at": 1698107661,
                      "usage_bytes": 123456,
                      "last_active_at": 1698107661,
                      "name": "my_vector_store",
                      "status": "completed",
                      "file_counts": {
                        "in_progress": 0,
                        "completed": 100,
                        "cancelled": 0,
                        "failed": 0,
                        "total": 100
                      },
                      "metadata": {},
                      "last_used_at": 1698107661
                    }

        CreateVectorStoreRequest:
            type: object
            additionalProperties: false
            properties:
                file_ids:
                    description: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that the vector store should use. Useful for tools like `file_search` that can access files.
                    type: array
                    maxItems: 500
                    items:
                        type: string
                name:
                    description: The name of the vector store.
                    type: string
                expires_after:
                    $ref: "#/components/schemas/VectorStoreExpirationAfter"
                chunking_strategy:
                    type: object
                    description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. Only applicable if `file_ids` is non-empty.
                    oneOf:
                        - $ref: "#/components/schemas/AutoChunkingStrategyRequestParam"
                        - $ref: "#/components/schemas/StaticChunkingStrategyRequestParam"
                    x-oaiExpandable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true

        UpdateVectorStoreRequest:
            type: object
            additionalProperties: false
            properties:
                name:
                    description: The name of the vector store.
                    type: string
                    nullable: true
                expires_after:
                    $ref: "#/components/schemas/VectorStoreExpirationAfter"
                    nullable: true
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true

        ListVectorStoresResponse:
            properties:
                object:
                    type: string
                    example: "list"
                data:
                    type: array
                    items:
                        $ref: "#/components/schemas/VectorStoreObject"
                first_id:
                    type: string
                    example: "vs_abc123"
                last_id:
                    type: string
                    example: "vs_abc456"
                has_more:
                    type: boolean
                    example: false
            required:
                - object
                - data
                - first_id
                - last_id
                - has_more

        DeleteVectorStoreResponse:
            type: object
            properties:
                id:
                    type: string
                deleted:
                    type: boolean
                object:
                    type: string
                    enum: [vector_store.deleted]
            required:
                - id
                - object
                - deleted

        VectorStoreFileObject:
            type: object
            title: Vector store files
            description: A list of files attached to a vector store.
            properties:
                id:
                    description: The identifier, which can be referenced in API endpoints.
                    type: string
                object:
                    description: The object type, which is always `vector_store.file`.
                    type: string
                    enum: ["vector_store.file"]
                usage_bytes:
                    description: The total vector store usage in bytes. Note that this may be different from the original file size.
                    type: integer
                created_at:
                    description: The Unix timestamp (in seconds) for when the vector store file was created.
                    type: integer
                vector_store_id:
                    description: The ID of the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) that the [File](https://platform.openai.com/docs/api-reference/files) is attached to.
                    type: string
                status:
                    description: The status of the vector store file, which can be either `in_progress`, `completed`, `cancelled`, or `failed`. The status `completed` indicates that the vector store file is ready for use.
                    type: string
                    enum: ["in_progress", "completed", "cancelled", "failed"]
                last_error:
                    type: object
                    description: The last error associated with this vector store file. Will be `null` if there are no errors.
                    nullable: true
                    properties:
                        code:
                            type: string
                            description: One of `server_error` or `rate_limit_exceeded`.
                            enum:
                                [
                                    "internal_error",
                                    "file_not_found",
                                    "parsing_error",
                                    "unhandled_mime_type",
                                ]
                        message:
                            type: string
                            description: A human-readable description of the error.
                    required:
                        - code
                        - message
                chunking_strategy:
                    type: object
                    description: The strategy used to chunk the file.
                    oneOf:
                        - $ref: "#/components/schemas/StaticChunkingStrategyResponseParam"
                        - $ref: "#/components/schemas/OtherChunkingStrategyResponseParam"
                    x-oaiExpandable: true
            required:
                - id
                - object
                - usage_bytes
                - created_at
                - vector_store_id
                - status
                - last_error
            x-oaiMeta:
                name: The vector store file object
                beta: true
                example: |
                    {
                      "id": "file-abc123",
                      "object": "vector_store.file",
                      "usage_bytes": 1234,
                      "created_at": 1698107661,
                      "vector_store_id": "vs_abc123",
                      "status": "completed",
                      "last_error": null,
                      "chunking_strategy": {
                        "type": "static",
                        "static": {
                          "max_chunk_size_tokens": 800,
                          "chunk_overlap_tokens": 400
                        }
                      }
                    }

        OtherChunkingStrategyResponseParam:
            type: object
            title: Other Chunking Strategy
            description: This is returned when the chunking strategy is unknown. Typically, this is because the file was indexed before the `chunking_strategy` concept was introduced in the API.
            additionalProperties: false
            properties:
                type:
                    type: string
                    description: Always `other`.
                    enum: ["other"]
            required:
                - type

        StaticChunkingStrategyResponseParam:
            type: object
            title: Static Chunking Strategy
            additionalProperties: false
            properties:
                type:
                    type: string
                    description: Always `static`.
                    enum: ["static"]
                static:
                    $ref: "#/components/schemas/StaticChunkingStrategy"
            required:
                - type
                - static

        StaticChunkingStrategy:
            type: object
            additionalProperties: false
            properties:
                max_chunk_size_tokens:
                    type: integer
                    minimum: 100
                    maximum: 4096
                    description: The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the maximum value is `4096`.
                chunk_overlap_tokens:
                    type: integer
                    description: |
                        The number of tokens that overlap between chunks. The default value is `400`.

                        Note that the overlap must not exceed half of `max_chunk_size_tokens`.
            required:
                - max_chunk_size_tokens
                - chunk_overlap_tokens

        AutoChunkingStrategyRequestParam:
            type: object
            title: Auto Chunking Strategy
            description: The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`.
            additionalProperties: false
            properties:
                type:
                    type: string
                    description: Always `auto`.
                    enum: ["auto"]
            required:
                - type

        StaticChunkingStrategyRequestParam:
            type: object
            title: Static Chunking Strategy
            additionalProperties: false
            properties:
                type:
                    type: string
                    description: Always `static`.
                    enum: ["static"]
                static:
                    $ref: "#/components/schemas/StaticChunkingStrategy"
            required:
                - type
                - static

        ChunkingStrategyRequestParam:
            type: object
            description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy.
            oneOf:
                - $ref: "#/components/schemas/AutoChunkingStrategyRequestParam"
                - $ref: "#/components/schemas/StaticChunkingStrategyRequestParam"
            x-oaiExpandable: true

        CreateVectorStoreFileRequest:
            type: object
            additionalProperties: false
            properties:
                file_id:
                    description: A [File](https://platform.openai.com/docs/api-reference/files) ID that the vector store should use. Useful for tools like `file_search` that can access files.
                    type: string
                chunking_strategy:
                    $ref: "#/components/schemas/ChunkingStrategyRequestParam"
            required:
                - file_id

        ListVectorStoreFilesResponse:
            properties:
                object:
                    type: string
                    example: "list"
                data:
                    type: array
                    items:
                        $ref: "#/components/schemas/VectorStoreFileObject"
                first_id:
                    type: string
                    example: "file-abc123"
                last_id:
                    type: string
                    example: "file-abc456"
                has_more:
                    type: boolean
                    example: false
            required:
                - object
                - data
                - first_id
                - last_id
                - has_more

        DeleteVectorStoreFileResponse:
            type: object
            properties:
                id:
                    type: string
                deleted:
                    type: boolean
                object:
                    type: string
                    enum: [vector_store.file.deleted]
            required:
                - id
                - object
                - deleted

        VectorStoreFileBatchObject:
            type: object
            title: Vector store file batch
            description: A batch of files attached to a vector store.
            properties:
                id:
                    description: The identifier, which can be referenced in API endpoints.
                    type: string
                object:
                    description: The object type, which is always `vector_store.file_batch`.
                    type: string
                    enum: ["vector_store.files_batch"]
                created_at:
                    description: The Unix timestamp (in seconds) for when the vector store files batch was created.
                    type: integer
                vector_store_id:
                    description: The ID of the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) that the [File](https://platform.openai.com/docs/api-reference/files) is attached to.
                    type: string
                status:
                    description: The status of the vector store files batch, which can be either `in_progress`, `completed`, `cancelled` or `failed`.
                    type: string
                    enum: ["in_progress", "completed", "cancelled", "failed"]
                file_counts:
                    type: object
                    properties:
                        in_progress:
                            description: The number of files that are currently being processed.
                            type: integer
                        completed:
                            description: The number of files that have been processed.
                            type: integer
                        failed:
                            description: The number of files that have failed to process.
                            type: integer
                        cancelled:
                            description: The number of files that where cancelled.
                            type: integer
                        total:
                            description: The total number of files.
                            type: integer
                    required:
                        - in_progress
                        - completed
                        - cancelled
                        - failed
                        - total
            required:
                - id
                - object
                - created_at
                - vector_store_id
                - status
                - file_counts
            x-oaiMeta:
                name: The vector store files batch object
                beta: true
                example: |
                    {
                      "id": "vsfb_123",
                      "object": "vector_store.files_batch",
                      "created_at": 1698107661,
                      "vector_store_id": "vs_abc123",
                      "status": "completed",
                      "file_counts": {
                        "in_progress": 0,
                        "completed": 100,
                        "failed": 0,
                        "cancelled": 0,
                        "total": 100
                      }
                    }

        CreateVectorStoreFileBatchRequest:
            type: object
            additionalProperties: false
            properties:
                file_ids:
                    description: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that the vector store should use. Useful for tools like `file_search` that can access files.
                    type: array
                    minItems: 1
                    maxItems: 500
                    items:
                        type: string
                chunking_strategy:
                    $ref: "#/components/schemas/ChunkingStrategyRequestParam"
            required:
                - file_ids

        AssistantStreamEvent:
            description: |
                Represents an event emitted when streaming a Run.

                Each event in a server-sent events stream has an `event` and `data` property:

                ```
                event: thread.created
                data: {"id": "thread_123", "object": "thread", ...}
                ```

                We emit events whenever a new object is created, transitions to a new state, or is being
                streamed in parts (deltas). For example, we emit `thread.run.created` when a new run
                is created, `thread.run.completed` when a run completes, and so on. When an Assistant chooses
                to create a message during a run, we emit a `thread.message.created event`, a
                `thread.message.in_progress` event, many `thread.message.delta` events, and finally a
                `thread.message.completed` event.

                We may add additional events over time, so we recommend handling unknown events gracefully
                in your code. See the [Assistants API quickstart](https://platform.openai.com/docs/assistants/overview) to learn how to
                integrate the Assistants API with streaming.
            oneOf:
                - $ref: "#/components/schemas/ThreadStreamEvent"
                - $ref: "#/components/schemas/RunStreamEvent"
                - $ref: "#/components/schemas/RunStepStreamEvent"
                - $ref: "#/components/schemas/MessageStreamEvent"
                - $ref: "#/components/schemas/ErrorEvent"
                - $ref: "#/components/schemas/DoneEvent"
            x-oaiMeta:
                name: Assistant stream events
                beta: true

        ThreadStreamEvent:
            oneOf:
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.created"]
                      data:
                          $ref: "#/components/schemas/ThreadObject"
                  required:
                      - event
                      - data
                  description: Occurs when a new [thread](https://platform.openai.com/docs/api-reference/threads/object) is created.
                  x-oaiMeta:
                      dataDescription: "`data` is a [thread](https://platform.openai.com/docs/api-reference/threads/object)"

        RunStreamEvent:
            oneOf:
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.created"]
                      data:
                          $ref: "#/components/schemas/RunObject"
                  required:
                      - event
                      - data
                  description: Occurs when a new [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run](https://platform.openai.com/docs/api-reference/runs/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.queued"]
                      data:
                          $ref: "#/components/schemas/RunObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to a `queued` status.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run](https://platform.openai.com/docs/api-reference/runs/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.in_progress"]
                      data:
                          $ref: "#/components/schemas/RunObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to an `in_progress` status.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run](https://platform.openai.com/docs/api-reference/runs/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.requires_action"]
                      data:
                          $ref: "#/components/schemas/RunObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to a `requires_action` status.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run](https://platform.openai.com/docs/api-reference/runs/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.completed"]
                      data:
                          $ref: "#/components/schemas/RunObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) is completed.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run](https://platform.openai.com/docs/api-reference/runs/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: [ "thread.run.incomplete" ]
                      data:
                          $ref: "#/components/schemas/RunObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) ends with status `incomplete`.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run](https://platform.openai.com/docs/api-reference/runs/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.failed"]
                      data:
                          $ref: "#/components/schemas/RunObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) fails.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run](https://platform.openai.com/docs/api-reference/runs/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.cancelling"]
                      data:
                          $ref: "#/components/schemas/RunObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) moves to a `cancelling` status.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run](https://platform.openai.com/docs/api-reference/runs/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.cancelled"]
                      data:
                          $ref: "#/components/schemas/RunObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) is cancelled.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run](https://platform.openai.com/docs/api-reference/runs/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.expired"]
                      data:
                          $ref: "#/components/schemas/RunObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) expires.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run](https://platform.openai.com/docs/api-reference/runs/object)"

        RunStepStreamEvent:
            oneOf:
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.step.created"]
                      data:
                          $ref: "#/components/schemas/RunStepObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run step](https://platform.openai.com/docs/api-reference/runs/step-object) is created.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run step](https://platform.openai.com/docs/api-reference/runs/step-object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.step.in_progress"]
                      data:
                          $ref: "#/components/schemas/RunStepObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run step](https://platform.openai.com/docs/api-reference/runs/step-object) moves to an `in_progress` state.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run step](https://platform.openai.com/docs/api-reference/runs/step-object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.step.delta"]
                      data:
                          $ref: "#/components/schemas/RunStepDeltaObject"
                  required:
                      - event
                      - data
                  description: Occurs when parts of a [run step](https://platform.openai.com/docs/api-reference/runs/step-object) are being streamed.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run step delta](https://platform.openai.com/docs/api-reference/assistants-streaming/run-step-delta-object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.step.completed"]
                      data:
                          $ref: "#/components/schemas/RunStepObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run step](https://platform.openai.com/docs/api-reference/runs/step-object) is completed.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run step](https://platform.openai.com/docs/api-reference/runs/step-object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.step.failed"]
                      data:
                          $ref: "#/components/schemas/RunStepObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run step](https://platform.openai.com/docs/api-reference/runs/step-object) fails.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run step](https://platform.openai.com/docs/api-reference/runs/step-object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.step.cancelled"]
                      data:
                          $ref: "#/components/schemas/RunStepObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run step](https://platform.openai.com/docs/api-reference/runs/step-object) is cancelled.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run step](https://platform.openai.com/docs/api-reference/runs/step-object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.run.step.expired"]
                      data:
                          $ref: "#/components/schemas/RunStepObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [run step](https://platform.openai.com/docs/api-reference/runs/step-object) expires.
                  x-oaiMeta:
                      dataDescription: "`data` is a [run step](https://platform.openai.com/docs/api-reference/runs/step-object)"

        MessageStreamEvent:
            oneOf:
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.message.created"]
                      data:
                          $ref: "#/components/schemas/MessageObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) is created.
                  x-oaiMeta:
                      dataDescription: "`data` is a [message](https://platform.openai.com/docs/api-reference/messages/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.message.in_progress"]
                      data:
                          $ref: "#/components/schemas/MessageObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) moves to an `in_progress` state.
                  x-oaiMeta:
                      dataDescription: "`data` is a [message](https://platform.openai.com/docs/api-reference/messages/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.message.delta"]
                      data:
                          $ref: "#/components/schemas/MessageDeltaObject"
                  required:
                      - event
                      - data
                  description: Occurs when parts of a [Message](https://platform.openai.com/docs/api-reference/messages/object) are being streamed.
                  x-oaiMeta:
                      dataDescription: "`data` is a [message delta](https://platform.openai.com/docs/api-reference/assistants-streaming/message-delta-object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.message.completed"]
                      data:
                          $ref: "#/components/schemas/MessageObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) is completed.
                  x-oaiMeta:
                      dataDescription: "`data` is a [message](https://platform.openai.com/docs/api-reference/messages/object)"
                - type: object
                  properties:
                      event:
                          type: string
                          enum: ["thread.message.incomplete"]
                      data:
                          $ref: "#/components/schemas/MessageObject"
                  required:
                      - event
                      - data
                  description: Occurs when a [message](https://platform.openai.com/docs/api-reference/messages/object) ends before it is completed.
                  x-oaiMeta:
                      dataDescription: "`data` is a [message](https://platform.openai.com/docs/api-reference/messages/object)"

        ErrorEvent:
            type: object
            properties:
                event:
                    type: string
                    enum: ["error"]
                data:
                    $ref: "#/components/schemas/Error"
            required:
                - event
                - data
            description: Occurs when an [error](https://platform.openai.com/docs/guides/error-codes/api-errors) occurs. This can happen due to an internal server error or a timeout.
            x-oaiMeta:
                dataDescription: "`data` is an [error](https://platform.openai.com/docs/guides/error-codes/api-errors)"

        DoneEvent:
            type: object
            properties:
                event:
                    type: string
                    enum: ["done"]
                data:
                    type: string
                    enum: ["[DONE]"]
            required:
                - event
                - data
            description: Occurs when a stream ends.
            x-oaiMeta:
                dataDescription: "`data` is `[DONE]`"

        Batch:
            type: object
            properties:
                id:
                    type: string
                object:
                    type: string
                    enum: [batch]
                    description: The object type, which is always `batch`.
                endpoint:
                    type: string
                    description: The Portkey API endpoint used by the batch.

                errors:
                    type: object
                    properties:
                        object:
                            type: string
                            description: The object type, which is always `list`.
                        data:
                            type: array
                            items:
                                type: object
                                properties:
                                    code:
                                        type: string
                                        description: An error code identifying the error type.
                                    message:
                                        type: string
                                        description: A human-readable message providing more details about the error.
                                    param:
                                        type: string
                                        description: The name of the parameter that caused the error, if applicable.
                                        nullable: true
                                    line:
                                        type: integer
                                        description: The line number of the input file where the error occurred, if applicable.
                                        nullable: true
                input_file_id:
                    type: string
                    description: The ID of the input file for the batch.
                completion_window:
                    type: string
                    description: The time frame within which the batch should be processed.
                status:
                    type: string
                    description: The current status of the batch.
                    enum:
                        - validating
                        - failed
                        - in_progress
                        - finalizing
                        - completed
                        - expired
                        - cancelling
                        - cancelled
                output_file_id:
                    type: string
                    description: The ID of the file containing the outputs of successfully executed requests.
                error_file_id:
                    type: string
                    description: The ID of the file containing the outputs of requests with errors.
                created_at:
                    type: integer
                    description: The Unix timestamp (in seconds) for when the batch was created.
                in_progress_at:
                    type: integer
                    description: The Unix timestamp (in seconds) for when the batch started processing.
                expires_at:
                    type: integer
                    description: The Unix timestamp (in seconds) for when the batch will expire.
                finalizing_at:
                    type: integer
                    description: The Unix timestamp (in seconds) for when the batch started finalizing.
                completed_at:
                    type: integer
                    description: The Unix timestamp (in seconds) for when the batch was completed.
                failed_at:
                    type: integer
                    description: The Unix timestamp (in seconds) for when the batch failed.
                expired_at:
                    type: integer
                    description: The Unix timestamp (in seconds) for when the batch expired.
                cancelling_at:
                    type: integer
                    description: The Unix timestamp (in seconds) for when the batch started cancelling.
                cancelled_at:
                    type: integer
                    description: The Unix timestamp (in seconds) for when the batch was cancelled.
                request_counts:
                    type: object
                    properties:
                        total:
                            type: integer
                            description: Total number of requests in the batch.
                        completed:
                            type: integer
                            description: Number of requests that have been completed successfully.
                        failed:
                            type: integer
                            description: Number of requests that have failed.
                    required:
                        - total
                        - completed
                        - failed
                    description: The request counts for different statuses within the batch.
                metadata:
                    description: *metadata_description
                    type: object
                    x-oaiTypeLabel: map
                    nullable: true
            required:
                - id
                - object
                - endpoint
                - input_file_id
                - completion_window
                - status
                - created_at
            x-oaiMeta:
                name: The batch object
                example: *batch_object

        BatchRequestInput:
            type: object
            description: The per-line object of the batch input file
            properties:
                custom_id:
                    type: string
                    description: A developer-provided per-request id that will be used to match outputs to inputs. Must be unique for each request in a batch.
                method:
                    type: string
                    enum: ["POST"]
                    description: The HTTP method to be used for the request. Currently only `POST` is supported.
                url:
                    type: string
                    description: The Portkey API relative URL to be used for the request. Currently `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are supported.
            x-oaiMeta:
                name: The request input object
                example: |
                    {"custom_id": "request-1", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "What is 2+2?"}]}}

        BatchRequestOutput:
            type: object
            description: The per-line object of the batch output and error files
            properties:
                id:
                    type: string
                custom_id:
                    type: string
                    description: A developer-provided per-request id that will be used to match outputs to inputs.
                response:
                    type: object
                    nullable: true
                    properties:
                        status_code:
                            type: integer
                            description: The HTTP status code of the response
                        request_id:
                            type: string
                            description: An unique identifier for the provider API request. Please include this request ID when contacting your provider support.
                        body:
                            type: object
                            x-oaiTypeLabel: map
                            description: The JSON body of the response
                error:
                    type: object
                    nullable: true
                    description: For requests that failed with a non-HTTP error, 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.
            x-oaiMeta:
                name: The request output object
                example: |
                    {"id": "batch_req_wnaDys", "custom_id": "request-2", "response": {"status_code": 200, "request_id": "req_c187b3", "body": {"id": "chatcmpl-9758Iw", "object": "chat.completion", "created": 1711475054, "model": "gpt-3.5-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "2 + 2 equals 4."}, "finish_reason": "stop"}], "usage": {"prompt_tokens": 24, "completion_tokens": 15, "total_tokens": 39}, "system_fingerprint": null}}, "error": null}

        ListBatchesResponse:
            type: object
            properties:
                data:
                    type: array
                    items:
                        $ref: "#/components/schemas/Batch"
                first_id:
                    type: string
                    example: "batch_abc123"
                last_id:
                    type: string
                    example: "batch_abc456"
                has_more:
                    type: boolean
                object:
                    type: string
                    enum: [list]
            required:
                - object
                - data
                - has_more

        FeedbackRequest:
          type: object
          required:
            - trace_id
            - value
          properties:
            trace_id:
              type: string
              description: Unique identifier for the request trace.
            value:
              type: integer
              description: Feedback value, an integer between -10 and 10.
              minimum: -10
              maximum: 10
            weight:
              type: number
              format: float
              description: Weight of the feedback, a float between 0 and 1. Default is 1.0.
              minimum: 0
              maximum: 1
              default: 1.0
            metadata:
              type: object
              additionalProperties: true
              description: Additional metadata for the feedback.

        FeedbackResponse:
          type: object
          properties:
            status:
              type: string
              description: success or failure
            message:
              type: string
              description: Confirmation message indicating successful feedback submission.
            feedback_ids:
              type: array
              description: Ids of Feedbacks created returned in the same order as input
              items:
                type: string

        FeedbackUpdateRequest:
          type: object
          required:
            - value
          properties:
            value:
              type: integer
              description: Feedback value, an integer between -10 and 10.
              minimum: -10
              maximum: 10
            weight:
              type: number
              format: float
              description: Weight of the feedback, a float between 0 and 1. Default is 1.0.
              minimum: 0
              maximum: 1
              default: 1.0
            metadata:
              type: object
              additionalProperties: true
              description: Additional metadata for the feedback.

        UsageLimits:
          type: object
          properties:
            credit_limit:
              type: integer
              description: Credit Limit. Used for tracking usage
              minimum: 1
              default: null
            alert_threshold:
              type: integer
              description: Alert Threshold. Used for alerting when usage reaches more than this
              minimum: 1
              default: null
            periodic_reset:
              type: string
              description: Reset the usage periodically.
              enum: ["monthly"]
          example:
            credit_limit: 10
            periodic_reset: monthly
            alert_threshold: 8

        Invite:
          type: object
          properties:
            object:
              type: string
              example: invite
            id:
              type: string
              format: uuid
            email:
              type: string
              format: email
            role:
              type: string
              enum:
                - admin
                - member
            created_at:
              type: string
              format: date-time
            expires_at:
              type: string
              format: date-time
            accepted_at:
              type: string
              format: date-time
            status:
              type: string
              enum:
                - pending
                - cancelled
                - accepted
                - expired
            invited_by:
              type: string
              format: uuid
        InviteList:
          type: object
          properties:
            object:
              type: string
              enum:
                - list
            total:
              type: integer
            data:
              type: array
              items:
                $ref: '#/components/schemas/Invite'

        User:
          type: object
          properties:
            object:
              type: string
              enum:
                - user
            id:
              type: string
              format: uuid
            first_name:
              type: string
            last_name:
              type: string
            role:
              type: string
              enum:
                - admin
                - member
                - owner
            email:
              type: string
              format: email
            created_at:
              type: string
              format: date-time
            last_updated_at:
              type: string
              format: date-time
            workspace_ids:
              type: array

              items:
                type: string
        UserList:
          type: object
          properties:
            total:
              type: integer
              example: 2
            object:
              type: string
              enum:
                - list
            data:
              type: array
              items:
                $ref: '#/components/schemas/User'

        WorkspaceMember:
          type: object
          properties:
            object:
              type: string
              example: workspace-user
              enum:
                - workspace-user
            id:
              type: string
              format: uuid
              example: 25afb7bd-f98a-11ee-85fe-0e27d7367987
            first_name:
              type: string
              example: John
            last_name:
              type: string
              example: Doe
            org_role:
              type: string
              example: member
              enum:
                - admin
                - member
                - owner
            role:
              type: string
              example: member
              enum:
                - admin
                - member
                - manager
            created_at:
              type: string
              example: 2024-01-01T00:00:00.000Z
              format: date-time
            last_updated_at:
              type: string
              example: 2024-01-01T00:00:00.000Z
              format: date-time
            status:
              type: string
              example: active
              enum:
                - active
        WorkspaceMemberList:
          type: object
          properties:
            total:
              type: integer
              example: 2
            object:
              type: string
              example: list
              enum:
                - list
            data:
              type: array
              items:
                $ref: '#/components/schemas/WorkspaceMember'

        Workspace:
          type: object
          properties:
            id:
              type: string
              example: ws-test-a-174eb1
            slug:
              type: string
              example: ws-test-a-174eb1
            name:
              type: string
              example: New Workspace
            description:
              type: string
              nullable: true
              example: null
            created_at:
              type: string
              format: date-time
              example: 2024-07-30T13:27:29.000Z
            last_updated_at:
              type: string
              format: date-time
              example: 2024-07-30T13:27:29.000Z
            defaults:
              type: object
              nullable: true
              properties:
                metadata:
                  type: object
                  additionalProperties:
                    type: string
                  example:
                    foo: bar
                is_default:
                  type: integer
                  example: 0
                object:
                  type: string
                  enum:
                    - workspace

        WorkspaceList:
          type: object
          properties:
            total:
              type: integer
              example: 2
            object:
              type: string
              enum:
                - list
            data:
              type: array
              items:
                $ref: '#/components/schemas/Workspace'

        WorkspaceWithUsers:
          type: object
          properties:
            id:
              type: string
              example: ws-test-a-174eb1
            slug:
              type: string
              example: ws-test-a-174eb1
            name:
              type: string
              example: New Workspace
            description:
              type: string
              nullable: true
              example: null
            created_at:
              type: string
              format: date-time
              example: 2024-07-30T13:27:29.000Z
            last_updated_at:
              type: string
              format: date-time
              example: 2024-07-30T13:27:29.000Z
            defaults:
              type: object
              nullable: true
              properties:
                metadata:
                  type: object
                  additionalProperties:
                    type: string
                  example:
                    foo: bar
                is_default:
                  type: integer
                  example: 0
                object:
                  type: string
                  enum:
                    - workspace
            users:
              type: array
              items:
                type: object
                $ref: '#/components/schemas/WorkspaceMember'
        ExportListResponse:
          type: object
          properties:
            object:
              type: string
              enum: [list]
            total:
              type: integer
            data:
              type: array
              items:
                $ref: '#/components/schemas/ExportItem'
        ExportItem:
          type: object
          properties:
            id:
              type: string
              format: uuid
            organisation_id:
              type: string
              format: uuid
            filters:
              $ref: '#/components/schemas/FilterSchema'
            requested_data:
              type: array
              items:
                type: string
            status:
              type: string
              enum: [draft]
            description:
              type: string
            created_at:
              type: string
              format: date-time
            last_updated_at:
              type: string
              format: date-time
            created_by:
              type: string
              format: uuid
            workspace_id:
              type: string
              format: uuid
            object:
              type: string
              enum: [export]
          required:
            - id
            - organisation_id
            - filters
            - requested_data
            - status
            - description
            - created_at
            - last_updated_at
            - created_by
            - workspace_id
            - object
        UpdateExportResponse:
          type: object
          properties:
            id:
              type: string
              format: uuid
              description: The unique identifier of the updated export
            total:
              type: integer
              description: The total number of items in the export
            object:
              type: string
              enum: [export]
              description: The type of the object
          required:
            - id
            - total
            - object
        ExportTaskResponse:
          type: object
          properties:
            message:
              type: string
              description: A message indicating the status of the export task
            object:
              type: string
              enum: [export]
              description: The type of the object
          required:
            - message
            - object
        DownloadLogsResponse:
          type: object
          properties:
            signed_url:
              type: string
              format: uri
              description: A pre-signed URL for downloading the exported logs
          required:
            - signed_url
        FilterSchema:
          type: object
          properties:
            time_of_generation_min:
              type: string
              format: date-time
            time_of_generation_max:
              type: string
              format: date-time
            total_units_min:
              type: integer
            total_units_max:
              type: integer
            cost_min:
              type: number
            cost_max:
              type: number
            ai_model:
              type: string
            prompt_token_min:
              type: integer
            prompt_token_max:
              type: integer
            completion_token_min:
              type: integer
            completion_token_max:
              type: integer
            status_code:
              type: string
            metadata:
              type: object
              additionalProperties: true
            ai_org_model:
              type: string
              example: "openai__gpt-3.5-turbo, anthropic__claude-2.1"
            weighted_feedback_min:
              type: number
            weighted_feedback_max:
              type: number
            virtual_keys:
              type: string
            trace_id:
              type: string
            configs:
              type: string
            workspace_slug:
              type: string


        ApiKeyObject:
          type: object
          properties:
            id:
              type: string
              format: uuid
              example: "f47ac10b-58cc-4372-a567-0e02b2c3d479"
            key:
              type: string
              example: "Xk*******S4"
            name:
              type: string
              example: "Development API Key"
            description:
              type: string
              example: "API key for development environment"
            type:
              type: string
              enum: ["organisation-service", "workspace-service", "workspace-user"]
              example: "organisation-service"
            organisation_id:
              type: string
              format: uuid
              example: "a1b2c3d4-e5f6-4a5b-8c7d-9e0f1a2b3c4d"
            workspace_id:
              type: string
              example: "ws-myworkspace"
            user_id:
              type: string
              format: uuid
              example: "c3d4e5f6-a7b8-6c7d-0e1f-2a3b4c5d6e7f"
            status:
              type: string
              enum: ["active", "exhausted"]
              example: "active"
            created_at:
              type: string
              format: date-time
              example: "2023-09-15T10:30:00Z"
            last_updated_at:
              type: string
              format: date-time
              example: "2023-09-15T10:30:00Z"
            creation_mode:
              type: string
              enum : ["ui", "api", "auto"]
              example: "ui"
            rate_limits:
              type: array
              items:
                type: object
                properties:
                  type:
                    type: string
                    example: "requests"
                  unit:
                    type: string
                    example: "rpm"
                  value:
                    type: integer
                    example: 100
            usage_limits:
              $ref: "#/components/schemas/UsageLimits"
            reset_usage:
              type: number
              example: 0
            scopes:
              type: array
              items:
                type: string
              example: ["completions.write"]
            defaults:
              type: object
              properties:
                metadata:
                  type: object
                  additionalProperties: true
                  example:
                    environment: "development"
                    team: "backend"
                config_id:
                  type: string
                  example: config-abc
            object:
              type: string
              enum : ["api-key"]
              example: "api-key"

        ApiKeyObjectList:
          type: object
          properties:
            total:
              type: integer
              example: 2
            object:
              type: string
              enum:
                - list
            data:
              type: array
              items:
                $ref: '#/components/schemas/ApiKeyObject'

        CreateApiKeyObject:
          type: object
          properties:
            name:
              type: string
              example: "Development API Key"
            description:
              type: string
              example: "API key for development environment"
            workspace_id:
              type: string
              example: "ws-myworkspace"
            user_id:
              type: string
              format: uuid
              example: "c3d4e5f6-a7b8-6c7d-0e1f-2a3b4c5d6e7f"
            rate_limits:
              type: array
              items:
                type: object
                properties:
                  type:
                    type: string
                    example: "requests"
                  unit:
                    type: string
                    example: "rpm"
                  value:
                    type: integer
                    example: 100
            usage_limits:
              $ref: "#/components/schemas/UsageLimits"
            scopes:
              type: array
              items:
                type: string
              example: ["completions.write"]
            defaults:
              type: object
              properties:
                metadata:
                  type: object
                  additionalProperties: true
                  example:
                    environment: "development"
                    team: "backend"
                config_id:
                  type: string
                  example: config-abc

        UpdateApiKeyObject:
          type: object
          properties:
            name:
              type: string
              example: "Development API Key"
            description:
              type: string
              example: "API key for development environment"
            rate_limits:
              type: array
              items:
                type: object
                properties:
                  type:
                    type: string
                    example: "requests"
                  unit:
                    type: string
                    example: "rpm"
                  value:
                    type: integer
                    example: 100
            usage_limits:
              $ref: "#/components/schemas/UsageLimits"
            scopes:
              type: array
              items:
                type: string
              example: ["completions.write"]
            defaults:
              type: object
              properties:
                metadata:
                  type: object
                  additionalProperties: true
                  example:
                    environment: "development"
                    team: "backend"
                config_id:
                  type: string
                  example: config-abc

security:
    - ApiKeyAuth: []

x-oaiMeta:
    navigationGroups:
        - id: endpoints
          title: Endpoints
        - id: assistants
          title: Assistants
        - id: legacy
          title: Legacy
    groups:
        # > General Notes
        # The `groups` section is used to generate the API reference pages and navigation, in the same
        # order listed below. Additionally, each `group` can have a list of `sections`, each of which
        # will become a navigation subroute and subsection under the group. Each section has:
        #  - `type`: Currently, either an `endpoint` or `object`, depending on how the section needs to
        #            be rendered
        #  - `key`: The reference key that can be used to lookup the section definition
        #  - `path`: The path (url) of the section, which is used to generate the navigation link.
        #
        # > The `object` sections maps to a schema component and the following fields are read for rendering
        # - `x-oaiMeta.name`: The name of the object, which will become the section title
        # - `x-oaiMeta.example`: The example object, which will be used to generate the example sample (always JSON)
        # - `description`: The description of the object, which will be used to generate the section description
        #
        # > The `endpoint` section maps to an operation path and the following fields are read for rendering:
        # - `x-oaiMeta.name`: The name of the endpoint, which will become the section title
        # - `x-oaiMeta.examples`: The endpoint examples, which can be an object (meaning a single variation, most
        #                         endpoints, or an array of objects, meaning multiple variations, e.g. the
        #                         chat completion and completion endpoints, with streamed and non-streamed examples.
        # - `x-oaiMeta.returns`: text describing what the endpoint returns.
        # - `summary`: The summary of the endpoint, which will be used to generate the section description
        - id: audio
          title: Audio
          description: |
              Learn how to turn audio into text or text into audio.

              Related guide: [Speech to text](https://platform.openai.com/docs/guides/speech-to-text)
          navigationGroup: endpoints
          sections:
              - type: endpoint
                key: createSpeech
                path: createSpeech
              - type: endpoint
                key: createTranscription
                path: createTranscription
              - type: endpoint
                key: createTranslation
                path: createTranslation
              - type: object
                key: CreateTranscriptionResponseJson
                path: json-object
              - type: object
                key: CreateTranscriptionResponseVerboseJson
                path: verbose-json-object
        - id: chat
          title: Chat
          description: |
              Given a list of messages comprising a conversation, the model will return a response.

              Related guide: [Chat Completions](https://platform.openai.com/docs/guides/text-generation)
          navigationGroup: endpoints
          sections:
              - type: endpoint
                key: createChatCompletion
                path: create
              - type: object
                key: CreateChatCompletionResponse
                path: object
              - type: object
                key: CreateChatCompletionStreamResponse
                path: streaming
        - id: embeddings
          title: Embeddings
          description: |
              Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.

              Related guide: [Embeddings](https://platform.openai.com/docs/guides/embeddings)
          navigationGroup: endpoints
          sections:
              - type: endpoint
                key: createEmbedding
                path: create
              - type: object
                key: Embedding
                path: object
        - id: fine-tuning
          title: Fine-tuning
          description: |
              Manage fine-tuning jobs to tailor a model to your specific training data.

              Related guide: [Fine-tune models](https://platform.openai.com/docs/guides/fine-tuning)
          navigationGroup: endpoints
          sections:
              - type: endpoint
                key: createFineTuningJob
                path: create
              - type: endpoint
                key: listPaginatedFineTuningJobs
                path: list
              - type: endpoint
                key: listFineTuningEvents
                path: list-events
              - type: endpoint
                key: listFineTuningJobCheckpoints
                path: list-checkpoints
              - type: endpoint
                key: retrieveFineTuningJob
                path: retrieve
              - type: endpoint
                key: cancelFineTuningJob
                path: cancel
              - type: object
                key: FinetuneChatRequestInput
                path: chat-input
              - type: object
                key: FinetuneCompletionRequestInput
                path: completions-input
              - type: object
                key: FineTuningJob
                path: object
              - type: object
                key: FineTuningJobEvent
                path: event-object
              - type: object
                key: FineTuningJobCheckpoint
                path: checkpoint-object
        - id: batch
          title: Batch
          description: |
              Create large batches of API requests for asynchronous processing. The Batch API returns completions within 24 hours for a 50% discount.

              Related guide: [Batch](https://platform.openai.com/docs/guides/batch)
          navigationGroup: endpoints
          sections:
              - type: endpoint
                key: createBatch
                path: create
              - type: endpoint
                key: retrieveBatch
                path: retrieve
              - type: endpoint
                key: cancelBatch
                path: cancel
              - type: endpoint
                key: listBatches
                path: list
              - type: object
                key: Batch
                path: object
              - type: object
                key: BatchRequestInput
                path: request-input
              - type: object
                key: BatchRequestOutput
                path: request-output
        - id: files
          title: Files
          description: |
              Files are used to upload documents that can be used with features like [Assistants](https://platform.openai.com/docs/api-reference/assistants), [Fine-tuning](https://platform.openai.com/docs/api-reference/fine-tuning), and [Batch API](https://platform.openai.com/docs/guides/batch).
          navigationGroup: endpoints
          sections:
              - type: endpoint
                key: createFile
                path: create
              - type: endpoint
                key: listFiles
                path: list
              - type: endpoint
                key: retrieveFile
                path: retrieve
              - type: endpoint
                key: deleteFile
                path: delete
              - type: endpoint
                key: downloadFile
                path: retrieve-contents
              - type: object
                key: OpenAIFile
                path: object
        - id: images
          title: Images
          description: |
              Given a prompt and/or an input image, the model will generate a new image.

              Related guide: [Image generation](https://platform.openai.com/docs/guides/images)
          navigationGroup: endpoints
          sections:
              - type: endpoint
                key: createImage
                path: create
              - type: endpoint
                key: createImageEdit
                path: createEdit
              - type: endpoint
                key: createImageVariation
                path: createVariation
              - type: object
                key: Image
                path: object
        - id: models
          title: Models
          description: |
              List and describe the various models available in the API. You can refer to the [Models](https://platform.openai.com/docs/models) documentation to understand what models are available and the differences between them.
          navigationGroup: endpoints
          sections:
              - type: endpoint
                key: listModels
                path: list
              - type: endpoint
                key: retrieveModel
                path: retrieve
              - type: endpoint
                key: deleteModel
                path: delete
              - type: object
                key: Model
                path: object
        - id: moderations
          title: Moderations
          description: |
              Given some input text, outputs if the model classifies it as potentially harmful across several categories.

              Related guide: [Moderations](https://platform.openai.com/docs/guides/moderation)
          navigationGroup: endpoints
          sections:
              - type: endpoint
                key: createModeration
                path: create
              - type: object
                key: CreateModerationResponse
                path: object
        - 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](https://platform.openai.com/docs/assistants)
          navigationGroup: assistants
          sections:
              - type: endpoint
                key: createAssistant
                path: createAssistant
              - type: endpoint
                key: listAssistants
                path: listAssistants
              - type: endpoint
                key: getAssistant
                path: getAssistant
              - type: endpoint
                key: modifyAssistant
                path: modifyAssistant
              - type: endpoint
                key: deleteAssistant
                path: deleteAssistant
              - type: object
                key: AssistantObject
                path: object
        - id: threads
          title: Threads
          beta: true
          description: |
              Create threads that assistants can interact with.

              Related guide: [Assistants](https://platform.openai.com/docs/assistants/overview)
          navigationGroup: assistants
          sections:
              - type: endpoint
                key: createThread
                path: createThread
              - type: endpoint
                key: getThread
                path: getThread
              - type: endpoint
                key: modifyThread
                path: modifyThread
              - type: endpoint
                key: deleteThread
                path: deleteThread
              - type: object
                key: ThreadObject
                path: object
        - id: messages
          title: Messages
          beta: true
          description: |
              Create messages within threads

              Related guide: [Assistants](https://platform.openai.com/docs/assistants/overview)
          navigationGroup: assistants
          sections:
              - type: endpoint
                key: createMessage
                path: createMessage
              - type: endpoint
                key: listMessages
                path: listMessages
              - type: endpoint
                key: getMessage
                path: getMessage
              - type: endpoint
                key: modifyMessage
                path: modifyMessage
              - type: endpoint
                key: deleteMessage
                path: deleteMessage
              - type: object
                key: MessageObject
                path: object
        - id: runs
          title: Runs
          beta: true
          description: |
              Represents an execution run on a thread.

              Related guide: [Assistants](https://platform.openai.com/docs/assistants/overview)
          navigationGroup: assistants
          sections:
              - type: endpoint
                key: createRun
                path: createRun
              - type: endpoint
                key: createThreadAndRun
                path: createThreadAndRun
              - type: endpoint
                key: listRuns
                path: listRuns
              - type: endpoint
                key: getRun
                path: getRun
              - type: endpoint
                key: modifyRun
                path: modifyRun
              - type: endpoint
                key: submitToolOuputsToRun
                path: submitToolOutputs
              - type: endpoint
                key: cancelRun
                path: cancelRun
              - type: object
                key: RunObject
                path: object
        - id: run-steps
          title: Run Steps
          beta: true
          description: |
              Represents the steps (model and tool calls) taken during the run.

              Related guide: [Assistants](https://platform.openai.com/docs/assistants/overview)
          navigationGroup: assistants
          sections:
              - type: endpoint
                key: listRunSteps
                path: listRunSteps
              - type: endpoint
                key: getRunStep
                path: getRunStep
              - type: object
                key: RunStepObject
                path: step-object
        - id: vector-stores
          title: Vector Stores
          beta: true
          description: |
              Vector stores are used to store files for use by the `file_search` tool.

              Related guide: [File Search](https://platform.openai.com/docs/assistants/tools/file-search)
          navigationGroup: assistants
          sections:
              - type: endpoint
                key: createVectorStore
                path: create
              - type: endpoint
                key: listVectorStores
                path: list
              - type: endpoint
                key: getVectorStore
                path: retrieve
              - type: endpoint
                key: modifyVectorStore
                path: modify
              - type: endpoint
                key: deleteVectorStore
                path: delete
              - type: object
                key: VectorStoreObject
                path: object
        - id: vector-stores-files
          title: Vector Store Files
          beta: true
          description: |
              Vector store files represent files inside a vector store.

              Related guide: [File Search](https://platform.openai.com/docs/assistants/tools/file-search)
          navigationGroup: assistants
          sections:
              - type: endpoint
                key: createVectorStoreFile
                path: createFile
              - type: endpoint
                key: listVectorStoreFiles
                path: listFiles
              - type: endpoint
                key: getVectorStoreFile
                path: getFile
              - type: endpoint
                key: deleteVectorStoreFile
                path: deleteFile
              - type: object
                key: VectorStoreFileObject
                path: file-object
        - id: vector-stores-file-batches
          title: Vector Store File Batches
          beta: true
          description: |
              Vector store file batches represent operations to add multiple files to a vector store.

              Related guide: [File Search](https://platform.openai.com/docs/assistants/tools/file-search)
          navigationGroup: assistants
          sections:
              - type: endpoint
                key: createVectorStoreFileBatch
                path: createBatch
              - type: endpoint
                key: getVectorStoreFileBatch
                path: getBatch
              - type: endpoint
                key: cancelVectorStoreFileBatch
                path: cancelBatch
              - type: endpoint
                key: listFilesInVectorStoreBatch
                path: listBatchFiles
              - type: object
                key: VectorStoreFileBatchObject
                path: batch-object
        - id: assistants-streaming
          title: Streaming
          beta: true
          description: |
              Stream the result of executing a Run or resuming a Run after submitting tool outputs.

              You can stream events from the [Create Thread and Run](https://platform.openai.com/docs/api-reference/runs/createThreadAndRun),
              [Create Run](https://platform.openai.com/docs/api-reference/runs/createRun), and [Submit Tool Outputs](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
              endpoints by passing `"stream": true`. The response will be a [Server-Sent events](https://html.spec.whatwg.org/multipage/server-sent-events.html#server-sent-events) stream.

              Our Node and Python SDKs provide helpful utilities to make streaming easy. Reference the
              [Assistants API quickstart](https://platform.openai.com/docs/assistants/overview) to learn more.
          navigationGroup: assistants
          sections:
              - type: object
                key: MessageDeltaObject
                path: message-delta-object
              - type: object
                key: RunStepDeltaObject
                path: run-step-delta-object
              - type: object
                key: AssistantStreamEvent
                path: events
        - id: completions
          title: Completions
          legacy: true
          navigationGroup: legacy
          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](https://platform.openai.com/docs/guides/text-generation/text-generation-models) to leverage our best and newest models.
          sections:
              - type: endpoint
                key: createCompletion
                path: create
              - type: object
                key: CreateCompletionResponse
                path: object