OpenAI OpenAPI YAML fixed for building a Java client

gistfile1.txt

openapi: 3.0.0
info:
  title: OpenAI API
  description: The OpenAI REST API. Please see
    https://platform.openai.com/docs/api-reference for more details.
  version: 2.3.0
  termsOfService: https://openai.com/policies/terms-of-use
  contact:
    name: OpenAI Support
    url: https://help.openai.com/
  license:
    name: MIT
    url: https://github.com/openai/openai-openapi/blob/master/LICENSE
servers:
  - url: https://api.openai.com/v1
security:
  - ApiKeyAuth: []
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: Evals
    description: Manage and run evals in the OpenAI platform.
  - 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: Uploads
    description: Use Uploads to upload large files in multiple parts.
  - 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 text and/or image inputs, classifies if those inputs are
      potentially harmful.
  - name: Audit Logs
    description: List user actions and configuration changes within this organization.
paths:
  /assistants:
    get:
      operationId: listAssistants
      tags:
        - Assistants
      summary: Returns a list of assistants.
      parameters:
        - name: limit
          in: query
          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: >
            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: >
            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: >
            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, starting with obj_foo, your
            subsequent call can include before=obj_foo in order to fetch the
            previous page of the list.
          schema:
            type: string
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListAssistantsResponse"
      x-oaiMeta:
        name: List assistants
        group: assistants
        beta: true
        returns: A list of [assistant](/docs/api-reference/assistants/object) objects.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/assistants?order=desc&limit=20" \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              const openai = new OpenAI();

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

                console.log(myAssistants.data);
              }

              main();
          response: >
            {
              "object": "list",
              "data": [
                {
                  "id": "asst_abc123",
                  "object": "assistant",
                  "created_at": 1698982736,
                  "name": "Coding Tutor",
                  "description": null,
                  "model": "gpt-4o",
                  "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-4o",
                  "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-4o",
                  "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](/docs/api-reference/assistants/object) object.
        examples:
          - title: Code Interpreter
            request:
              curl: >
                curl "https://api.openai.com/v1/assistants" \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -H "OpenAI-Beta: assistants=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-4o"
                  }'
              python: >
                from openai import OpenAI

                client = OpenAI()


                my_assistant = client.beta.assistants.create(
                    instructions="You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
                    name="Math Tutor",
                    tools=[{"type": "code_interpreter"}],
                    model="gpt-4o",
                )

                print(my_assistant)
              node.js: >-
                import OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const myAssistant = await openai.beta.assistants.create({
                    instructions:
                      "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
                    name: "Math Tutor",
                    tools: [{ type: "code_interpreter" }],
                    model: "gpt-4o",
                  });

                  console.log(myAssistant);
                }


                main();
            response: >
              {
                "id": "asst_abc123",
                "object": "assistant",
                "created_at": 1698984975,
                "name": "Math Tutor",
                "description": null,
                "model": "gpt-4o",
                "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.openai.com/v1/assistants \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_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-4o"
                  }'
              python: >
                from openai import OpenAI

                client = OpenAI()


                my_assistant = client.beta.assistants.create(
                    instructions="You are an HR bot, and you have access to files to answer employee questions about company policies.",
                    name="HR Helper",
                    tools=[{"type": "file_search"}],
                    tool_resources={"file_search": {"vector_store_ids": ["vs_123"]}},
                    model="gpt-4o"
                )

                print(my_assistant)
              node.js: >-
                import OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const myAssistant = await openai.beta.assistants.create({
                    instructions:
                      "You are an HR bot, and you have access to files to answer employee questions about company policies.",
                    name: "HR Helper",
                    tools: [{ type: "file_search" }],
                    tool_resources: {
                      file_search: {
                        vector_store_ids: ["vs_123"]
                      }
                    },
                    model: "gpt-4o"
                  });

                  console.log(myAssistant);
                }


                main();
            response: >
              {
                "id": "asst_abc123",
                "object": "assistant",
                "created_at": 1699009403,
                "name": "HR Helper",
                "description": null,
                "model": "gpt-4o",
                "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](/docs/api-reference/assistants/object) object matching
          the specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/assistants/asst_abc123 \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

              my_assistant = client.beta.assistants.retrieve("asst_abc123")
              print(my_assistant)
            node.js: |-
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const myAssistant = await openai.beta.assistants.retrieve(
                  "asst_abc123"
                );

                console.log(myAssistant);
              }

              main();
          response: >
            {
              "id": "asst_abc123",
              "object": "assistant",
              "created_at": 1699009709,
              "name": "HR Helper",
              "description": null,
              "model": "gpt-4o",
              "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](/docs/api-reference/assistants/object) object.
        examples:
          request:
            curl: >
              curl https://api.openai.com/v1/assistants/asst_abc123 \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=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-4o"
                  }'
            python: >
              from openai import OpenAI

              client = OpenAI()


              my_updated_assistant = client.beta.assistants.update(
                "asst_abc123",
                instructions="You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
                name="HR Helper",
                tools=[{"type": "file_search"}],
                model="gpt-4o"
              )


              print(my_updated_assistant)
            node.js: >-
              import OpenAI from "openai";


              const openai = new OpenAI();


              async function main() {
                const myUpdatedAssistant = await openai.beta.assistants.update(
                  "asst_abc123",
                  {
                    instructions:
                      "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
                    name: "HR Helper",
                    tools: [{ type: "file_search" }],
                    model: "gpt-4o"
                  }
                );

                console.log(myUpdatedAssistant);
              }


              main();
          response: >
            {
              "id": "asst_123",
              "object": "assistant",
              "created_at": 1699009709,
              "name": "HR Helper",
              "description": null,
              "model": "gpt-4o",
              "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.openai.com/v1/assistants/asst_abc123 \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2" \
                -X DELETE
            python: |
              from openai import OpenAI
              client = OpenAI()

              response = client.beta.assistants.delete("asst_abc123")
              print(response)
            node.js: >-
              import OpenAI from "openai";


              const openai = new OpenAI();


              async function main() {
                const response = await openai.beta.assistants.del("asst_abc123");

                console.log(response);
              }

              main();
          response: |
            {
              "id": "asst_abc123",
              "object": "assistant.deleted",
              "deleted": true
            }
  /audio/speech:
    post:
      operationId: createSpeech
      tags:
        - Audio
      summary: Generates audio from the input text.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateSpeechRequest"
      responses:
        "200":
          description: OK
          headers:
            Transfer-Encoding:
              schema:
                type: string
              description: chunked
          content:
            application/octet-stream:
              schema:
                type: string
                format: binary
      x-oaiMeta:
        name: Create speech
        group: audio
        returns: The audio file content.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/audio/speech \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                  "model": "gpt-4o-mini-tts",
                  "input": "The quick brown fox jumped over the lazy dog.",
                  "voice": "alloy"
                }' \
                --output speech.mp3
            python: |
              from pathlib import Path
              import openai

              speech_file_path = Path(__file__).parent / "speech.mp3"
              with openai.audio.speech.with_streaming_response.create(
                model="gpt-4o-mini-tts",
                voice="alloy",
                input="The quick brown fox jumped over the lazy dog."
              ) as response:
                response.stream_to_file(speech_file_path)
            javascript: >
              import fs from "fs";

              import path from "path";

              import OpenAI from "openai";


              const openai = new OpenAI();


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


              async function main() {
                const mp3 = await openai.audio.speech.create({
                  model: "gpt-4o-mini-tts",
                  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();
            csharp: |
              using System;
              using System.IO;

              using OpenAI.Audio;

              AudioClient client = new(
                  model: "gpt-4o-mini-tts",
                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
              );

              BinaryData speech = client.GenerateSpeech(
                  text: "The quick brown fox jumped over the lazy dog.",
                  voice: GeneratedSpeechVoice.Alloy
              );

              using FileStream stream = File.OpenWrite("speech.mp3");
              speech.ToStream().CopyTo(stream);
  /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"
            text/event-stream:
              schema:
                $ref: "#/components/schemas/CreateTranscriptionResponseStreamEvent"
      x-oaiMeta:
        name: Create transcription
        group: audio
        returns: The [transcription object](/docs/api-reference/audio/json-object), a
          [verbose transcription
          object](/docs/api-reference/audio/verbose-json-object) or a [stream of
          transcript
          events](/docs/api-reference/audio/transcript-text-delta-event).
        examples:
          - title: Default
            request:
              curl: |
                curl https://api.openai.com/v1/audio/transcriptions \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -H "Content-Type: multipart/form-data" \
                  -F file="@/path/to/file/audio.mp3" \
                  -F model="gpt-4o-transcribe"
              python: |
                from openai import OpenAI
                client = OpenAI()

                audio_file = open("speech.mp3", "rb")
                transcript = client.audio.transcriptions.create(
                  model="gpt-4o-transcribe",
                  file=audio_file
                )
              javascript: >
                import fs from "fs";

                import OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const transcription = await openai.audio.transcriptions.create({
                    file: fs.createReadStream("audio.mp3"),
                    model: "gpt-4o-transcribe",
                  });

                  console.log(transcription.text);
                }

                main();
              csharp: >
                using System;


                using OpenAI.Audio;

                string audioFilePath = "audio.mp3";


                AudioClient client = new(
                    model: "gpt-4o-transcribe",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                AudioTranscription transcription =
                client.TranscribeAudio(audioFilePath);


                Console.WriteLine($"{transcription.Text}");
            response: >
              {
                "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: Streaming
            request:
              curl: |
                curl https://api.openai.com/v1/audio/transcriptions \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -H "Content-Type: multipart/form-data" \
                  -F file="@/path/to/file/audio.mp3" \
                  -F model="gpt-4o-mini-transcribe" \
                  -F stream=true
              python: |
                from openai import OpenAI
                client = OpenAI()

                audio_file = open("speech.mp3", "rb")
                stream = client.audio.transcriptions.create(
                  file=audio_file,
                  model="gpt-4o-mini-transcribe",
                  stream=True
                )

                for event in stream:
                  print(event)
              javascript: |
                import fs from "fs";
                import OpenAI from "openai";

                const openai = new OpenAI();

                const stream = await openai.audio.transcriptions.create({
                  file: fs.createReadStream("audio.mp3"),
                  model: "gpt-4o-mini-transcribe",
                  stream: true,
                });

                for await (const event of stream) {
                  console.log(event);
                }
            response: |
              data: {"type":"transcript.text.delta","delta":"I","logprobs":[{"token":"I","logprob":-0.00007588794,"bytes":[73]}]}

              data: {"type":"transcript.text.delta","delta":" see","logprobs":[{"token":" see","logprob":-3.1281633e-7,"bytes":[32,115,101,101]}]}

              data: {"type":"transcript.text.delta","delta":" skies","logprobs":[{"token":" skies","logprob":-2.3392786e-6,"bytes":[32,115,107,105,101,115]}]}

              data: {"type":"transcript.text.delta","delta":" of","logprobs":[{"token":" of","logprob":-3.1281633e-7,"bytes":[32,111,102]}]}

              data: {"type":"transcript.text.delta","delta":" blue","logprobs":[{"token":" blue","logprob":-1.0280384e-6,"bytes":[32,98,108,117,101]}]}

              data: {"type":"transcript.text.delta","delta":" and","logprobs":[{"token":" and","logprob":-0.0005108566,"bytes":[32,97,110,100]}]}

              data: {"type":"transcript.text.delta","delta":" clouds","logprobs":[{"token":" clouds","logprob":-1.9361265e-7,"bytes":[32,99,108,111,117,100,115]}]}

              data: {"type":"transcript.text.delta","delta":" of","logprobs":[{"token":" of","logprob":-1.9361265e-7,"bytes":[32,111,102]}]}

              data: {"type":"transcript.text.delta","delta":" white","logprobs":[{"token":" white","logprob":-7.89631e-7,"bytes":[32,119,104,105,116,101]}]}

              data: {"type":"transcript.text.delta","delta":",","logprobs":[{"token":",","logprob":-0.0014890312,"bytes":[44]}]}

              data: {"type":"transcript.text.delta","delta":" the","logprobs":[{"token":" the","logprob":-0.0110956915,"bytes":[32,116,104,101]}]}

              data: {"type":"transcript.text.delta","delta":" bright","logprobs":[{"token":" bright","logprob":0.0,"bytes":[32,98,114,105,103,104,116]}]}

              data: {"type":"transcript.text.delta","delta":" blessed","logprobs":[{"token":" blessed","logprob":-0.000045848617,"bytes":[32,98,108,101,115,115,101,100]}]}

              data: {"type":"transcript.text.delta","delta":" days","logprobs":[{"token":" days","logprob":-0.000010802739,"bytes":[32,100,97,121,115]}]}

              data: {"type":"transcript.text.delta","delta":",","logprobs":[{"token":",","logprob":-0.00001700133,"bytes":[44]}]}

              data: {"type":"transcript.text.delta","delta":" the","logprobs":[{"token":" the","logprob":-0.0000118755715,"bytes":[32,116,104,101]}]}

              data: {"type":"transcript.text.delta","delta":" dark","logprobs":[{"token":" dark","logprob":-5.5122365e-7,"bytes":[32,100,97,114,107]}]}

              data: {"type":"transcript.text.delta","delta":" sacred","logprobs":[{"token":" sacred","logprob":-5.4385737e-6,"bytes":[32,115,97,99,114,101,100]}]}

              data: {"type":"transcript.text.delta","delta":" nights","logprobs":[{"token":" nights","logprob":-4.00813e-6,"bytes":[32,110,105,103,104,116,115]}]}

              data: {"type":"transcript.text.delta","delta":",","logprobs":[{"token":",","logprob":-0.0036910512,"bytes":[44]}]}

              data: {"type":"transcript.text.delta","delta":" and","logprobs":[{"token":" and","logprob":-0.0031903093,"bytes":[32,97,110,100]}]}

              data: {"type":"transcript.text.delta","delta":" I","logprobs":[{"token":" I","logprob":-1.504853e-6,"bytes":[32,73]}]}

              data: {"type":"transcript.text.delta","delta":" think","logprobs":[{"token":" think","logprob":-4.3202e-7,"bytes":[32,116,104,105,110,107]}]}

              data: {"type":"transcript.text.delta","delta":" to","logprobs":[{"token":" to","logprob":-1.9361265e-7,"bytes":[32,116,111]}]}

              data: {"type":"transcript.text.delta","delta":" myself","logprobs":[{"token":" myself","logprob":-1.7432603e-6,"bytes":[32,109,121,115,101,108,102]}]}

              data: {"type":"transcript.text.delta","delta":",","logprobs":[{"token":",","logprob":-0.29254505,"bytes":[44]}]}

              data: {"type":"transcript.text.delta","delta":" what","logprobs":[{"token":" what","logprob":-0.016815351,"bytes":[32,119,104,97,116]}]}

              data: {"type":"transcript.text.delta","delta":" a","logprobs":[{"token":" a","logprob":-3.1281633e-7,"bytes":[32,97]}]}

              data: {"type":"transcript.text.delta","delta":" wonderful","logprobs":[{"token":" wonderful","logprob":-2.1008714e-6,"bytes":[32,119,111,110,100,101,114,102,117,108]}]}

              data: {"type":"transcript.text.delta","delta":" world","logprobs":[{"token":" world","logprob":-8.180258e-6,"bytes":[32,119,111,114,108,100]}]}

              data: {"type":"transcript.text.delta","delta":".","logprobs":[{"token":".","logprob":-0.014231676,"bytes":[46]}]}

              data: {"type":"transcript.text.done","text":"I see skies of blue and clouds of white, the bright blessed days, the dark sacred nights, and I think to myself, what a wonderful world.","logprobs":[{"token":"I","logprob":-0.00007588794,"bytes":[73]},{"token":" see","logprob":-3.1281633e-7,"bytes":[32,115,101,101]},{"token":" skies","logprob":-2.3392786e-6,"bytes":[32,115,107,105,101,115]},{"token":" of","logprob":-3.1281633e-7,"bytes":[32,111,102]},{"token":" blue","logprob":-1.0280384e-6,"bytes":[32,98,108,117,101]},{"token":" and","logprob":-0.0005108566,"bytes":[32,97,110,100]},{"token":" clouds","logprob":-1.9361265e-7,"bytes":[32,99,108,111,117,100,115]},{"token":" of","logprob":-1.9361265e-7,"bytes":[32,111,102]},{"token":" white","logprob":-7.89631e-7,"bytes":[32,119,104,105,116,101]},{"token":",","logprob":-0.0014890312,"bytes":[44]},{"token":" the","logprob":-0.0110956915,"bytes":[32,116,104,101]},{"token":" bright","logprob":0.0,"bytes":[32,98,114,105,103,104,116]},{"token":" blessed","logprob":-0.000045848617,"bytes":[32,98,108,101,115,115,101,100]},{"token":" days","logprob":-0.000010802739,"bytes":[32,100,97,121,115]},{"token":",","logprob":-0.00001700133,"bytes":[44]},{"token":" the","logprob":-0.0000118755715,"bytes":[32,116,104,101]},{"token":" dark","logprob":-5.5122365e-7,"bytes":[32,100,97,114,107]},{"token":" sacred","logprob":-5.4385737e-6,"bytes":[32,115,97,99,114,101,100]},{"token":" nights","logprob":-4.00813e-6,"bytes":[32,110,105,103,104,116,115]},{"token":",","logprob":-0.0036910512,"bytes":[44]},{"token":" and","logprob":-0.0031903093,"bytes":[32,97,110,100]},{"token":" I","logprob":-1.504853e-6,"bytes":[32,73]},{"token":" think","logprob":-4.3202e-7,"bytes":[32,116,104,105,110,107]},{"token":" to","logprob":-1.9361265e-7,"bytes":[32,116,111]},{"token":" myself","logprob":-1.7432603e-6,"bytes":[32,109,121,115,101,108,102]},{"token":",","logprob":-0.29254505,"bytes":[44]},{"token":" what","logprob":-0.016815351,"bytes":[32,119,104,97,116]},{"token":" a","logprob":-3.1281633e-7,"bytes":[32,97]},{"token":" wonderful","logprob":-2.1008714e-6,"bytes":[32,119,111,110,100,101,114,102,117,108]},{"token":" world","logprob":-8.180258e-6,"bytes":[32,119,111,114,108,100]},{"token":".","logprob":-0.014231676,"bytes":[46]}]}
          - title: Logprobs
            request:
              curl: |
                curl https://api.openai.com/v1/audio/transcriptions \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -H "Content-Type: multipart/form-data" \
                  -F file="@/path/to/file/audio.mp3" \
                  -F "include[]=logprobs" \
                  -F model="gpt-4o-transcribe" \
                  -F response_format="json"
              python: |
                from openai import OpenAI
                client = OpenAI()

                audio_file = open("speech.mp3", "rb")
                transcript = client.audio.transcriptions.create(
                  file=audio_file,
                  model="gpt-4o-transcribe",
                  response_format="json",
                  include=["logprobs"]
                )

                print(transcript)
              javascript: >
                import fs from "fs";

                import OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const transcription = await openai.audio.transcriptions.create({
                    file: fs.createReadStream("audio.mp3"),
                    model: "gpt-4o-transcribe",
                    response_format: "json",
                    include: ["logprobs"]
                  });

                  console.log(transcription);
                }

                main();
            response: >
              {
                "text": "Hey, my knee is hurting and I want to see the doctor tomorrow ideally.",
                "logprobs": [
                  { "token": "Hey", "logprob": -1.0415299, "bytes": [72, 101, 121] },
                  { "token": ",", "logprob": -9.805982e-5, "bytes": [44] },
                  { "token": " my", "logprob": -0.00229799, "bytes": [32, 109, 121] },
                  {
                    "token": " knee",
                    "logprob": -4.7159858e-5,
                    "bytes": [32, 107, 110, 101, 101]
                  },
                  { "token": " is", "logprob": -0.043909557, "bytes": [32, 105, 115] },
                  {
                    "token": " hurting",
                    "logprob": -1.1041146e-5,
                    "bytes": [32, 104, 117, 114, 116, 105, 110, 103]
                  },
                  { "token": " and", "logprob": -0.011076359, "bytes": [32, 97, 110, 100] },
                  { "token": " I", "logprob": -5.3193703e-6, "bytes": [32, 73] },
                  {
                    "token": " want",
                    "logprob": -0.0017156356,
                    "bytes": [32, 119, 97, 110, 116]
                  },
                  { "token": " to", "logprob": -7.89631e-7, "bytes": [32, 116, 111] },
                  { "token": " see", "logprob": -5.5122365e-7, "bytes": [32, 115, 101, 101] },
                  { "token": " the", "logprob": -0.0040786397, "bytes": [32, 116, 104, 101] },
                  {
                    "token": " doctor",
                    "logprob": -2.3392786e-6,
                    "bytes": [32, 100, 111, 99, 116, 111, 114]
                  },
                  {
                    "token": " tomorrow",
                    "logprob": -7.89631e-7,
                    "bytes": [32, 116, 111, 109, 111, 114, 114, 111, 119]
                  },
                  {
                    "token": " ideally",
                    "logprob": -0.5800861,
                    "bytes": [32, 105, 100, 101, 97, 108, 108, 121]
                  },
                  { "token": ".", "logprob": -0.00011093382, "bytes": [46] }
                ]
              }
          - title: Word timestamps
            request:
              curl: |
                curl https://api.openai.com/v1/audio/transcriptions \
                  -H "Authorization: Bearer $OPENAI_API_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 openai import OpenAI
                client = OpenAI()

                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)
              javascript: >
                import fs from "fs";

                import OpenAI from "openai";


                const openai = new OpenAI();


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

                  console.log(transcription.text);
                }

                main();
              csharp: >
                using System;


                using OpenAI.Audio;


                string audioFilePath = "audio.mp3";


                AudioClient client = new(
                    model: "whisper-1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                AudioTranscriptionOptions options = new()

                {
                    ResponseFormat = AudioTranscriptionFormat.Verbose,
                    TimestampGranularities = AudioTimestampGranularities.Word,
                };


                AudioTranscription transcription =
                client.TranscribeAudio(audioFilePath, options);


                Console.WriteLine($"{transcription.Text}");
            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.openai.com/v1/audio/transcriptions \
                  -H "Authorization: Bearer $OPENAI_API_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 openai import OpenAI
                client = OpenAI()

                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)
              javascript: >
                import fs from "fs";

                import OpenAI from "openai";


                const openai = new OpenAI();


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

                  console.log(transcription.text);
                }

                main();
              csharp: >
                using System;


                using OpenAI.Audio;


                string audioFilePath = "audio.mp3";


                AudioClient client = new(
                    model: "whisper-1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                AudioTranscriptionOptions options = new()

                {
                    ResponseFormat = AudioTranscriptionFormat.Verbose,
                    TimestampGranularities = AudioTimestampGranularities.Segment,
                };


                AudioTranscription transcription =
                client.TranscribeAudio(audioFilePath, options);


                Console.WriteLine($"{transcription.Text}");
            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.",
                "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.openai.com/v1/audio/translations \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: multipart/form-data" \
                -F file="@/path/to/file/german.m4a" \
                -F model="whisper-1"
            python: |
              from openai import OpenAI
              client = OpenAI()

              audio_file = open("speech.mp3", "rb")
              transcript = client.audio.translations.create(
                model="whisper-1",
                file=audio_file
              )
            javascript: |
              import fs from "fs";
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                  const translation = await openai.audio.translations.create({
                      file: fs.createReadStream("speech.mp3"),
                      model: "whisper-1",
                  });

                  console.log(translation.text);
              }
              main();
            csharp: >
              using System;


              using OpenAI.Audio;


              string audioFilePath = "audio.mp3";


              AudioClient client = new(
                  model: "whisper-1",
                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
              );


              AudioTranscription transcription =
              client.TranscribeAudio(audioFilePath);


              Console.WriteLine($"{transcription.Text}");
          response: >
            {
              "text": "Hello, my name is Wolfgang and I come from Germany. Where are you heading today?"
            }
  /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](/docs/api-reference/files/create) for how
                    to upload a file.


                    Your input file must be formatted as a [JSONL
                    file](/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 200 MB in size.
                endpoint:
                  type: string
                  enum:
                    - /v1/responses
                    - /v1/chat/completions
                    - /v1/embeddings
                    - /v1/completions
                  description: The endpoint to be used for all requests in the batch. Currently
                    `/v1/responses`, `/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:
                  $ref: "#/components/schemas/Metadata"
      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](/docs/api-reference/batch/object) object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/batches \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                  "input_file_id": "file-abc123",
                  "endpoint": "/v1/chat/completions",
                  "completion_window": "24h"
                }'
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              const openai = new OpenAI();

              async function main() {
                const batch = await openai.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: >
            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.
        - name: limit
          in: query
          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
      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](/docs/api-reference/batch/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/batches?limit=2 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.batches.list()
            node: |
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const list = await openai.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](/docs/api-reference/batch/object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/batches/batch_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.batches.retrieve("batch_abc123")
            node: |
              import OpenAI from "openai";

              const openai = new OpenAI();

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

                console.log(batch);
              }

              main();
          response: |
            {
              "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](/docs/api-reference/batch/object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/batches/batch_abc123/cancel \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -X POST
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.batches.cancel("batch_abc123")
            node: |
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const batch = await openai.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",
              }
            }
  /chat/completions:
    get:
      operationId: listChatCompletions
      tags:
        - Chat
      summary: >
        List stored Chat Completions. Only Chat Completions that have been
        stored

        with the `store` parameter set to `true` will be returned.
      parameters:
        - name: model
          in: query
          description: The model used to generate the Chat Completions.
          required: false
          schema:
            type: string
        - name: metadata
          in: query
          description: |
            A list of metadata keys to filter the Chat Completions by. Example:

            `metadata[key1]=value1&metadata[key2]=value2`
          required: false
          schema:
            $ref: "#/components/schemas/Metadata"
        - name: after
          in: query
          description: Identifier for the last chat completion from the previous
            pagination request.
          required: false
          schema:
            type: string
        - name: limit
          in: query
          description: Number of Chat Completions to retrieve.
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: Sort order for Chat Completions by timestamp. Use `asc` for
            ascending order or `desc` for descending order. Defaults to `asc`.
          required: false
          schema:
            type: string
            enum:
              - asc
              - desc
            default: asc
      responses:
        "200":
          description: A list of Chat Completions
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ChatCompletionList"
      x-oaiMeta:
        name: List Chat Completions
        group: chat
        returns: A list of [Chat Completions](/docs/api-reference/chat/list-object)
          matching the specified filters.
        path: list
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/chat/completions \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
            python: |
              from openai import OpenAI
              client = OpenAI()

              completions = client.chat.completions.list()
              print(completions)
          response: >
            {
              "object": "list",
              "data": [
                {
                  "object": "chat.completion",
                  "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
                  "model": "gpt-4.1-2025-04-14",
                  "created": 1738960610,
                  "request_id": "req_ded8ab984ec4bf840f37566c1011c417",
                  "tool_choice": null,
                  "usage": {
                    "total_tokens": 31,
                    "completion_tokens": 18,
                    "prompt_tokens": 13
                  },
                  "seed": 4944116822809979520,
                  "top_p": 1.0,
                  "temperature": 1.0,
                  "presence_penalty": 0.0,
                  "frequency_penalty": 0.0,
                  "system_fingerprint": "fp_50cad350e4",
                  "input_user": null,
                  "service_tier": "default",
                  "tools": null,
                  "metadata": {},
                  "choices": [
                    {
                      "index": 0,
                      "message": {
                        "content": "Mind of circuits hum,  \nLearning patterns in silence—  \nFuture's quiet spark.",
                        "role": "assistant",
                        "tool_calls": null,
                        "function_call": null
                      },
                      "finish_reason": "stop",
                      "logprobs": null
                    }
                  ],
                  "response_format": null
                }
              ],
              "first_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
              "last_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
              "has_more": false
            }
    post:
      operationId: createChatCompletion
      tags:
        - Chat
      summary: |
        **Starting a new project?** We recommend trying [Responses](/docs/api-reference/responses) 
        to take advantage of the latest OpenAI platform features. Compare
        [Chat Completions with Responses](/docs/guides/responses-vs-chat-completions?api-mode=responses).

        ---

        Creates a model response for the given chat conversation. Learn more in the
        [text generation](/docs/guides/text-generation), [vision](/docs/guides/vision),
        and [audio](/docs/guides/audio) guides.

        Parameter support can differ depending on the model used to generate the
        response, particularly for newer reasoning models. Parameters that are only
        supported for reasoning models are noted below. For the current state of 
        unsupported parameters in reasoning models, 
        [refer to the reasoning guide](/docs/guides/reasoning).
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateChatCompletionRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/CreateChatCompletionResponse"
            text/event-stream:
              schema:
                $ref: "#/components/schemas/CreateChatCompletionStreamResponse"
      x-oaiMeta:
        name: Create chat completion
        group: chat
        returns: >
          Returns a [chat completion](/docs/api-reference/chat/object) object,
          or a streamed sequence of [chat completion
          chunk](/docs/api-reference/chat/streaming) objects if the request is
          streamed.
        path: create
        examples:
          - title: Default
            request:
              curl: |
                curl https://api.openai.com/v1/chat/completions \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "VAR_chat_model_id",
                    "messages": [
                      {
                        "role": "developer",
                        "content": "You are a helpful assistant."
                      },
                      {
                        "role": "user",
                        "content": "Hello!"
                      }
                    ]
                  }'
              python: >
                from openai import OpenAI

                client = OpenAI()


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


                print(completion.choices[0].message)
              node.js: >
                import OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const completion = await openai.chat.completions.create({
                    messages: [{ role: "developer", content: "You are a helpful assistant." }],
                    model: "VAR_chat_model_id",
                    store: true,
                  });

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


                main();
              csharp: |
                using System;
                using System.Collections.Generic;

                using OpenAI.Chat;

                ChatClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );

                List<ChatMessage> messages =
                [
                    new SystemChatMessage("You are a helpful assistant."),
                    new UserChatMessage("Hello!")
                ];

                ChatCompletion completion = client.CompleteChat(messages);

                Console.WriteLine(completion.Content[0].Text);
            response: |
              {
                "id": "chatcmpl-B9MBs8CjcvOU2jLn4n570S5qMJKcT",
                "object": "chat.completion",
                "created": 1741569952,
                "model": "gpt-4.1-2025-04-14",
                "choices": [
                  {
                    "index": 0,
                    "message": {
                      "role": "assistant",
                      "content": "Hello! How can I assist you today?",
                      "refusal": null,
                      "annotations": []
                    },
                    "logprobs": null,
                    "finish_reason": "stop"
                  }
                ],
                "usage": {
                  "prompt_tokens": 19,
                  "completion_tokens": 10,
                  "total_tokens": 29,
                  "prompt_tokens_details": {
                    "cached_tokens": 0,
                    "audio_tokens": 0
                  },
                  "completion_tokens_details": {
                    "reasoning_tokens": 0,
                    "audio_tokens": 0,
                    "accepted_prediction_tokens": 0,
                    "rejected_prediction_tokens": 0
                  }
                },
                "service_tier": "default"
              }
          - title: Image input
            request:
              curl: >
                curl https://api.openai.com/v1/chat/completions \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "gpt-4.1",
                    "messages": [
                      {
                        "role": "user",
                        "content": [
                          {
                            "type": "text",
                            "text": "What is in this image?"
                          },
                          {
                            "type": "image_url",
                            "image_url": {
                              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
                            }
                          }
                        ]
                      }
                    ],
                    "max_tokens": 300
                  }'
              python: >
                from openai import OpenAI


                client = OpenAI()


                response = client.chat.completions.create(
                    model="gpt-4.1",
                    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,
                )


                print(response.choices[0])
              node.js: >
                import OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const response = await openai.chat.completions.create({
                    model: "gpt-4.1",
                    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",
                            },
                          }
                        ],
                      },
                    ],
                  });
                  console.log(response.choices[0]);
                }

                main();
              csharp: >
                using System;

                using System.Collections.Generic;


                using OpenAI.Chat;


                ChatClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                List<ChatMessage> messages =

                [
                    new UserChatMessage(
                    [
                        ChatMessageContentPart.CreateTextPart("What's in this image?"),
                        ChatMessageContentPart.CreateImagePart(new Uri("https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"))
                    ])
                ];


                ChatCompletion completion = client.CompleteChat(messages);


                Console.WriteLine(completion.Content[0].Text);
            response: >
              {
                "id": "chatcmpl-B9MHDbslfkBeAs8l4bebGdFOJ6PeG",
                "object": "chat.completion",
                "created": 1741570283,
                "model": "gpt-4.1-2025-04-14",
                "choices": [
                  {
                    "index": 0,
                    "message": {
                      "role": "assistant",
                      "content": "The image shows a wooden boardwalk path running through a lush green field or meadow. The sky is bright blue with some scattered clouds, giving the scene a serene and peaceful atmosphere. Trees and shrubs are visible in the background.",
                      "refusal": null,
                      "annotations": []
                    },
                    "logprobs": null,
                    "finish_reason": "stop"
                  }
                ],
                "usage": {
                  "prompt_tokens": 1117,
                  "completion_tokens": 46,
                  "total_tokens": 1163,
                  "prompt_tokens_details": {
                    "cached_tokens": 0,
                    "audio_tokens": 0
                  },
                  "completion_tokens_details": {
                    "reasoning_tokens": 0,
                    "audio_tokens": 0,
                    "accepted_prediction_tokens": 0,
                    "rejected_prediction_tokens": 0
                  }
                },
                "service_tier": "default"
              }
          - title: Streaming
            request:
              curl: |
                curl https://api.openai.com/v1/chat/completions \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "VAR_chat_model_id",
                    "messages": [
                      {
                        "role": "developer",
                        "content": "You are a helpful assistant."
                      },
                      {
                        "role": "user",
                        "content": "Hello!"
                      }
                    ],
                    "stream": true
                  }'
              python: >
                from openai import OpenAI

                client = OpenAI()


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


                for chunk in completion:
                  print(chunk.choices[0].delta)
              node.js: >
                import OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const completion = await openai.chat.completions.create({
                    model: "VAR_chat_model_id",
                    messages: [
                      {"role": "developer", "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();
              csharp: >
                using System;

                using System.ClientModel;

                using System.Collections.Generic;

                using System.Threading.Tasks;


                using OpenAI.Chat;


                ChatClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                List<ChatMessage> messages =

                [
                    new SystemChatMessage("You are a helpful assistant."),
                    new UserChatMessage("Hello!")
                ];


                AsyncCollectionResult<StreamingChatCompletionUpdate>
                completionUpdates = client.CompleteChatStreamingAsync(messages);


                await foreach (StreamingChatCompletionUpdate completionUpdate in
                completionUpdates)

                {
                    if (completionUpdate.ContentUpdate.Count > 0)
                    {
                        Console.Write(completionUpdate.ContentUpdate[0].Text);
                    }
                }
            response: |
              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "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-4o-mini", "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-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
          - title: Functions
            request:
              curl: >
                curl https://api.openai.com/v1/chat/completions \

                -H "Content-Type: application/json" \

                -H "Authorization: Bearer $OPENAI_API_KEY" \

                -d '{
                  "model": "gpt-4.1",
                  "messages": [
                    {
                      "role": "user",
                      "content": "What is 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 openai import OpenAI

                client = OpenAI()


                tools = [
                  {
                    "type": "function",
                    "function": {
                      "name": "get_current_weather",
                      "description": "Get the current weather in a given location",
                      "parameters": {
                        "type": "object",
                        "properties": {
                          "location": {
                            "type": "string",
                            "description": "The city and state, e.g. San Francisco, CA",
                          },
                          "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
                        },
                        "required": ["location"],
                      },
                    }
                  }
                ]

                messages = [{"role": "user", "content": "What's the weather like
                in Boston today?"}]

                completion = client.chat.completions.create(
                  model="VAR_chat_model_id",
                  messages=messages,
                  tools=tools,
                  tool_choice="auto"
                )


                print(completion)
              node.js: >
                import OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const messages = [{"role": "user", "content": "What's the weather like in Boston today?"}];
                  const tools = [
                      {
                        "type": "function",
                        "function": {
                          "name": "get_current_weather",
                          "description": "Get the current weather in a given location",
                          "parameters": {
                            "type": "object",
                            "properties": {
                              "location": {
                                "type": "string",
                                "description": "The city and state, e.g. San Francisco, CA",
                              },
                              "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
                            },
                            "required": ["location"],
                          },
                        }
                      }
                  ];

                  const response = await openai.chat.completions.create({
                    model: "gpt-4.1",
                    messages: messages,
                    tools: tools,
                    tool_choice: "auto",
                  });

                  console.log(response);
                }


                main();
              csharp: >
                using System;

                using System.Collections.Generic;


                using OpenAI.Chat;


                ChatClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                ChatTool getCurrentWeatherTool = ChatTool.CreateFunctionTool(
                    functionName: "get_current_weather",
                    functionDescription: "Get the current weather in a given location",
                    functionParameters: BinaryData.FromString("""
                        {
                            "type": "object",
                            "properties": {
                                "location": {
                                    "type": "string",
                                    "description": "The city and state, e.g. San Francisco, CA"
                                },
                                "unit": {
                                    "type": "string",
                                    "enum": [ "celsius", "fahrenheit" ]
                                }
                            },
                            "required": [ "location" ]
                        }
                    """)
                );


                List<ChatMessage> messages =

                [
                    new UserChatMessage("What's the weather like in Boston today?"),
                ];


                ChatCompletionOptions options = new()

                {
                    Tools =
                    {
                        getCurrentWeatherTool
                    },
                    ToolChoice = ChatToolChoice.CreateAutoChoice(),
                };


                ChatCompletion completion = client.CompleteChat(messages,
                options);
            response: |
              {
                "id": "chatcmpl-abc123",
                "object": "chat.completion",
                "created": 1699896916,
                "model": "gpt-4o-mini",
                "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,
                  "completion_tokens_details": {
                    "reasoning_tokens": 0,
                    "accepted_prediction_tokens": 0,
                    "rejected_prediction_tokens": 0
                  }
                }
              }
          - title: Logprobs
            request:
              curl: |
                curl https://api.openai.com/v1/chat/completions \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "VAR_chat_model_id",
                    "messages": [
                      {
                        "role": "user",
                        "content": "Hello!"
                      }
                    ],
                    "logprobs": true,
                    "top_logprobs": 2
                  }'
              python: |
                from openai import OpenAI
                client = OpenAI()

                completion = client.chat.completions.create(
                  model="VAR_chat_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 OpenAI from "openai";

                const openai = new OpenAI();

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

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

                main();
              csharp: >
                using System;

                using System.Collections.Generic;


                using OpenAI.Chat;


                ChatClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                List<ChatMessage> messages =

                [
                    new UserChatMessage("Hello!")
                ];


                ChatCompletionOptions options = new()

                {
                    IncludeLogProbabilities = true,
                    TopLogProbabilityCount = 2
                };


                ChatCompletion completion = client.CompleteChat(messages,
                options);


                Console.WriteLine(completion.Content[0].Text);
            response: |
              {
                "id": "chatcmpl-123",
                "object": "chat.completion",
                "created": 1702685778,
                "model": "gpt-4o-mini",
                "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,
                  "completion_tokens_details": {
                    "reasoning_tokens": 0,
                    "accepted_prediction_tokens": 0,
                    "rejected_prediction_tokens": 0
                  }
                },
                "system_fingerprint": null
              }
  /chat/completions/{completion_id}:
    get:
      operationId: getChatCompletion
      tags:
        - Chat
      summary: >
        Get a stored chat completion. Only Chat Completions that have been
        created

        with the `store` parameter set to `true` will be returned.
      parameters:
        - in: path
          name: completion_id
          required: true
          schema:
            type: string
          description: The ID of the chat completion to retrieve.
      responses:
        "200":
          description: A chat completion
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/CreateChatCompletionResponse"
      x-oaiMeta:
        name: Get chat completion
        group: chat
        returns: The [ChatCompletion](/docs/api-reference/chat/object) object matching
          the specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/chat/completions/chatcmpl-abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
            python: >
              from openai import OpenAI

              client = OpenAI()


              completions = client.chat.completions.list()

              first_id = completions[0].id

              first_completion =
              client.chat.completions.retrieve(completion_id=first_id)

              print(first_completion)
          response: >
            {
              "object": "chat.completion",
              "id": "chatcmpl-abc123",
              "model": "gpt-4o-2024-08-06",
              "created": 1738960610,
              "request_id": "req_ded8ab984ec4bf840f37566c1011c417",
              "tool_choice": null,
              "usage": {
                "total_tokens": 31,
                "completion_tokens": 18,
                "prompt_tokens": 13
              },
              "seed": 4944116822809979520,
              "top_p": 1.0,
              "temperature": 1.0,
              "presence_penalty": 0.0,
              "frequency_penalty": 0.0,
              "system_fingerprint": "fp_50cad350e4",
              "input_user": null,
              "service_tier": "default",
              "tools": null,
              "metadata": {},
              "choices": [
                {
                  "index": 0,
                  "message": {
                    "content": "Mind of circuits hum,  \nLearning patterns in silence—  \nFuture's quiet spark.",
                    "role": "assistant",
                    "tool_calls": null,
                    "function_call": null
                  },
                  "finish_reason": "stop",
                  "logprobs": null
                }
              ],
              "response_format": null
            }
    post:
      operationId: updateChatCompletion
      tags:
        - Chat
      summary: >
        Modify a stored chat completion. Only Chat Completions that have been

        created with the `store` parameter set to `true` can be modified.
        Currently,

        the only supported modification is to update the `metadata` field.
      parameters:
        - in: path
          name: completion_id
          required: true
          schema:
            type: string
          description: The ID of the chat completion to update.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
                - metadata
              properties:
                metadata:
                  $ref: "#/components/schemas/Metadata"
      responses:
        "200":
          description: A chat completion
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/CreateChatCompletionResponse"
      x-oaiMeta:
        name: Update chat completion
        group: chat
        returns: The [ChatCompletion](/docs/api-reference/chat/object) object matching
          the specified ID.
        examples:
          request:
            curl: >
              curl -X POST
              https://api.openai.com/v1/chat/completions/chat_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -d '{"metadata": {"foo": "bar"}}'
            python: >
              from openai import OpenAI

              client = OpenAI()


              completions = client.chat.completions.list()

              first_id = completions[0].id

              updated_completion =
              client.chat.completions.update(completion_id=first_id,
              request_body={"metadata": {"foo": "bar"}})

              print(updated_completion)
          response: >
            {
              "object": "chat.completion",
              "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
              "model": "gpt-4o-2024-08-06",
              "created": 1738960610,
              "request_id": "req_ded8ab984ec4bf840f37566c1011c417",
              "tool_choice": null,
              "usage": {
                "total_tokens": 31,
                "completion_tokens": 18,
                "prompt_tokens": 13
              },
              "seed": 4944116822809979520,
              "top_p": 1.0,
              "temperature": 1.0,
              "presence_penalty": 0.0,
              "frequency_penalty": 0.0,
              "system_fingerprint": "fp_50cad350e4",
              "input_user": null,
              "service_tier": "default",
              "tools": null,
              "metadata": {
                "foo": "bar"
              },
              "choices": [
                {
                  "index": 0,
                  "message": {
                    "content": "Mind of circuits hum,  \nLearning patterns in silence—  \nFuture's quiet spark.",
                    "role": "assistant",
                    "tool_calls": null,
                    "function_call": null
                  },
                  "finish_reason": "stop",
                  "logprobs": null
                }
              ],
              "response_format": null
            }
    delete:
      operationId: deleteChatCompletion
      tags:
        - Chat
      summary: |
        Delete a stored chat completion. Only Chat Completions that have been
        created with the `store` parameter set to `true` can be deleted.
      parameters:
        - in: path
          name: completion_id
          required: true
          schema:
            type: string
          description: The ID of the chat completion to delete.
      responses:
        "200":
          description: The chat completion was deleted successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ChatCompletionDeleted"
      x-oaiMeta:
        name: Delete chat completion
        group: chat
        returns: A deletion confirmation object.
        examples:
          request:
            curl: >
              curl -X DELETE
              https://api.openai.com/v1/chat/completions/chat_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
            python: >
              from openai import OpenAI

              client = OpenAI()


              completions = client.chat.completions.list()

              first_id = completions[0].id

              delete_response =
              client.chat.completions.delete(completion_id=first_id)

              print(delete_response)
          response: |
            {
              "object": "chat.completion.deleted",
              "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
              "deleted": true
            }
  /chat/completions/{completion_id}/messages:
    get:
      operationId: getChatCompletionMessages
      tags:
        - Chat
      summary: |
        Get the messages in a stored chat completion. Only Chat Completions that
        have been created with the `store` parameter set to `true` will be
        returned.
      parameters:
        - in: path
          name: completion_id
          required: true
          schema:
            type: string
          description: The ID of the chat completion to retrieve messages from.
        - name: after
          in: query
          description: Identifier for the last message from the previous pagination request.
          required: false
          schema:
            type: string
        - name: limit
          in: query
          description: Number of messages to retrieve.
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: Sort order for messages by timestamp. Use `asc` for ascending order
            or `desc` for descending order. Defaults to `asc`.
          required: false
          schema:
            type: string
            enum:
              - asc
              - desc
            default: asc
      responses:
        "200":
          description: A list of messages
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ChatCompletionMessageList"
      x-oaiMeta:
        name: Get chat messages
        group: chat
        returns: A list of [messages](/docs/api-reference/chat/message-list) for the
          specified chat completion.
        examples:
          request:
            curl: >
              curl
              https://api.openai.com/v1/chat/completions/chat_abc123/messages \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
            python: >
              from openai import OpenAI

              client = OpenAI()


              completions = client.chat.completions.list()

              first_id = completions[0].id

              first_completion =
              client.chat.completions.retrieve(completion_id=first_id)

              messages =
              client.chat.completions.messages.list(completion_id=first_id)

              print(messages)
          response: |
            {
              "object": "list",
              "data": [
                {
                  "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
                  "role": "user",
                  "content": "write a haiku about ai",
                  "name": null,
                  "content_parts": null
                }
              ],
              "first_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
              "last_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
              "has_more": false
            }
  /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](/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.openai.com/v1/completions \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "VAR_completion_model_id",
                    "prompt": "Say this is a test",
                    "max_tokens": 7,
                    "temperature": 0
                  }'
              python: |
                from openai import OpenAI
                client = OpenAI()

                client.completions.create(
                  model="VAR_completion_model_id",
                  prompt="Say this is a test",
                  max_tokens=7,
                  temperature=0
                )
              node.js: |-
                import OpenAI from "openai";

                const openai = new OpenAI();

                async function main() {
                  const completion = await openai.completions.create({
                    model: "VAR_completion_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_completion_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.openai.com/v1/completions \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "VAR_completion_model_id",
                    "prompt": "Say this is a test",
                    "max_tokens": 7,
                    "temperature": 0,
                    "stream": true
                  }'
              python: |
                from openai import OpenAI
                client = OpenAI()

                for chunk in client.completions.create(
                  model="VAR_completion_model_id",
                  prompt="Say this is a test",
                  max_tokens=7,
                  temperature=0,
                  stream=True
                ):
                  print(chunk.choices[0].text)
              node.js: |-
                import OpenAI from "openai";

                const openai = new OpenAI();

                async function main() {
                  const stream = await openai.completions.create({
                    model: "VAR_completion_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",
              }
  /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](/docs/api-reference/embeddings/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/embeddings \
                -H "Authorization: Bearer $OPENAI_API_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 openai import OpenAI
              client = OpenAI()

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

              const openai = new OpenAI();

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

                console.log(embedding);
              }

              main();
            csharp: >
              using System;


              using OpenAI.Embeddings;


              EmbeddingClient client = new(
                  model: "text-embedding-3-small",
                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
              );


              OpenAIEmbedding embedding = client.GenerateEmbedding(input: "The
              quick brown fox jumped over the lazy dog");

              ReadOnlyMemory<float> vector = embedding.ToFloats();


              for (int i = 0; i < vector.Length; i++)

              {
                  Console.WriteLine($"  [{i,4}] = {vector.Span[i]}");
              }
          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
              }
            }
  /evals:
    get:
      operationId: listEvals
      tags:
        - Evals
      summary: |
        List evaluations for a project.
      parameters:
        - name: after
          in: query
          description: Identifier for the last eval from the previous pagination request.
          required: false
          schema:
            type: string
        - name: limit
          in: query
          description: Number of evals to retrieve.
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: Sort order for evals by timestamp. Use `asc` for ascending order or
            `desc` for descending order.
          required: false
          schema:
            type: string
            enum:
              - asc
              - desc
            default: asc
        - name: order_by
          in: query
          description: >
            Evals can be ordered by creation time or last updated time. Use

            `created_at` for creation time or `updated_at` for last updated
            time.
          required: false
          schema:
            type: string
            enum:
              - created_at
              - updated_at
            default: created_at
      responses:
        "200":
          description: A list of evals
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/EvalList"
      x-oaiMeta:
        name: List evals
        group: evals
        returns: A list of [evals](/docs/api-reference/evals/object) matching the
          specified filters.
        path: list
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/evals?limit=1 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
          response: >
            {
              "object": "list",
              "data": [
                {
                  "id": "eval_67abd54d9b0081909a86353f6fb9317a",
                  "object": "eval",
                  "data_source_config": {
                    "type": "stored_completions",
                    "metadata": {
                      "usecase": "push_notifications_summarizer"
                    },
                    "schema": {
                      "type": "object",
                      "properties": {
                        "item": {
                          "type": "object"
                        },
                        "sample": {
                          "type": "object"
                        }
                      },
                      "required": [
                        "item",
                        "sample"
                      ]
                    }
                  },
                  "testing_criteria": [
                    {
                      "name": "Push Notification Summary Grader",
                      "id": "Push Notification Summary Grader-9b876f24-4762-4be9-aff4-db7a9b31c673",
                      "type": "label_model",
                      "model": "o3-mini",
                      "input": [
                        {
                          "type": "message",
                          "role": "developer",
                          "content": {
                            "type": "input_text",
                            "text": "\nLabel the following push notification summary as either correct or incorrect.\nThe push notification and the summary will be provided below.\nA good push notificiation summary is concise and snappy.\nIf it is good, then label it as correct, if not, then incorrect.\n"
                          }
                        },
                        {
                          "type": "message",
                          "role": "user",
                          "content": {
                            "type": "input_text",
                            "text": "\nPush notifications: {{item.input}}\nSummary: {{sample.output_text}}\n"
                          }
                        }
                      ],
                      "passing_labels": [
                        "correct"
                      ],
                      "labels": [
                        "correct",
                        "incorrect"
                      ],
                      "sampling_params": null
                    }
                  ],
                  "name": "Push Notification Summary Grader",
                  "created_at": 1739314509,
                  "metadata": {
                    "description": "A stored completions eval for push notification summaries"
                  }
                }
              ],
              "first_id": "eval_67abd54d9b0081909a86353f6fb9317a",
              "last_id": "eval_67aa884cf6688190b58f657d4441c8b7",
              "has_more": true
            }
    post:
      operationId: createEval
      tags:
        - Evals
      summary: >
        Create the structure of an evaluation that can be used to test a model's
        performance.

        An evaluation is a set of testing criteria and a datasource. After
        creating an evaluation, you can run it on different models and model
        parameters. We support several types of graders and datasources.

        For more information, see the [Evals guide](/docs/guides/evals).
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateEvalRequest"
      responses:
        "201":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Eval"
      x-oaiMeta:
        name: Create eval
        group: evals
        returns: The created [Eval](/docs/api-reference/evals/object) object.
        path: post
        examples:
          request:
            curl: >
              curl https://api.openai.com/v1/evals \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                      "name": "Sentiment",
                      "data_source_config": {
                        "type": "stored_completions",
                        "metadata": {
                            "usecase": "chatbot"
                        }
                      },
                      "testing_criteria": [
                        {
                          "type": "label_model",
                          "model": "o3-mini",
                          "input": [
                            {
                              "role": "developer",
                              "content": "Classify the sentiment of the following statement as one of 'positive', 'neutral', or 'negative'"
                            },
                            {
                              "role": "user",
                              "content": "Statement: {{item.input}}"
                            }
                          ],
                          "passing_labels": [
                            "positive"
                          ],
                          "labels": [
                            "positive",
                            "neutral",
                            "negative"
                          ],
                          "name": "Example label grader"
                        }
                      ]
                    }'
          response: >
            {
              "object": "eval",
              "id": "eval_67b7fa9a81a88190ab4aa417e397ea21",
              "data_source_config": {
                "type": "stored_completions",
                "metadata": {
                  "usecase": "chatbot"
                },
                "schema": {
                  "type": "object",
                  "properties": {
                    "item": {
                      "type": "object"
                    },
                    "sample": {
                      "type": "object"
                    }
                  },
                  "required": [
                    "item",
                    "sample"
                  ]
              },
              "testing_criteria": [
                {
                  "name": "Example label grader",
                  "type": "label_model",
                  "model": "o3-mini",
                  "input": [
                    {
                      "type": "message",
                      "role": "developer",
                      "content": {
                        "type": "input_text",
                        "text": "Classify the sentiment of the following statement as one of positive, neutral, or negative"
                      }
                    },
                    {
                      "type": "message",
                      "role": "user",
                      "content": {
                        "type": "input_text",
                        "text": "Statement: {{item.input}}"
                      }
                    }
                  ],
                  "passing_labels": [
                    "positive"
                  ],
                  "labels": [
                    "positive",
                    "neutral",
                    "negative"
                  ]
                }
              ],
              "name": "Sentiment",
              "created_at": 1740110490,
              "metadata": {
                "description": "An eval for sentiment analysis"
              }
            }
  /evals/{eval_id}:
    get:
      operationId: getEval
      tags:
        - Evals
      summary: |
        Get an evaluation by ID.
      parameters:
        - name: eval_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the evaluation to retrieve.
      responses:
        "200":
          description: The evaluation
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Eval"
      x-oaiMeta:
        name: Get an eval
        group: evals
        returns: The [Eval](/docs/api-reference/evals/object) object matching the
          specified ID.
        path: get
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/evals/eval_67abd54d9b0081909a86353f6fb9317a \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
              "object": "eval",
              "id": "eval_67abd54d9b0081909a86353f6fb9317a",
              "data_source_config": {
                "type": "custom",
                "schema": {
                  "type": "object",
                  "properties": {
                    "item": {
                      "type": "object",
                      "properties": {
                        "input": {
                          "type": "string"
                        },
                        "ground_truth": {
                          "type": "string"
                        }
                      },
                      "required": [
                        "input",
                        "ground_truth"
                      ]
                    }
                  },
                  "required": [
                    "item"
                  ]
                }
              },
              "testing_criteria": [
                {
                  "name": "String check",
                  "id": "String check-2eaf2d8d-d649-4335-8148-9535a7ca73c2",
                  "type": "string_check",
                  "input": "{{item.input}}",
                  "reference": "{{item.ground_truth}}",
                  "operation": "eq"
                }
              ],
              "name": "External Data Eval",
              "created_at": 1739314509,
              "metadata": {},
            }
    post:
      operationId: updateEval
      tags:
        - Evals
      summary: |
        Update certain properties of an evaluation.
      parameters:
        - name: eval_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the evaluation to update.
      requestBody:
        description: Request to update an evaluation
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                name:
                  type: string
                  description: Rename the evaluation.
                metadata:
                  $ref: "#/components/schemas/Metadata"
      responses:
        "200":
          description: The updated evaluation
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Eval"
      x-oaiMeta:
        name: Update an eval
        group: evals
        returns: The [Eval](/docs/api-reference/evals/object) object matching the
          updated version.
        path: update
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/evals/eval_67abd54d9b0081909a86353f6fb9317a \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -d '{"name": "Updated Eval", "metadata": {"description": "Updated description"}}'
          response: |
            {
              "object": "eval",
              "id": "eval_67abd54d9b0081909a86353f6fb9317a",
              "data_source_config": {
                "type": "custom",
                "schema": {
                  "type": "object",
                  "properties": {
                    "item": {
                      "type": "object",
                      "properties": {
                        "input": {
                          "type": "string"
                        },
                        "ground_truth": {
                          "type": "string"
                        }
                      },
                      "required": [
                        "input",
                        "ground_truth"
                      ]
                    }
                  },
                  "required": [
                    "item"
                  ]
                }
              },
              "testing_criteria": [
                {
                  "name": "String check",
                  "id": "String check-2eaf2d8d-d649-4335-8148-9535a7ca73c2",
                  "type": "string_check",
                  "input": "{{item.input}}",
                  "reference": "{{item.ground_truth}}",
                  "operation": "eq"
                }
              ],
              "name": "Updated Eval",
              "created_at": 1739314509,
              "metadata": {"description": "Updated description"},
            }
    delete:
      operationId: deleteEval
      tags:
        - Evals
      summary: |
        Delete an evaluation.
      parameters:
        - name: eval_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the evaluation to delete.
      responses:
        "200":
          description: Successfully deleted the evaluation.
          content:
            application/json:
              schema:
                type: object
                properties:
                  object:
                    type: string
                    example: eval.deleted
                  deleted:
                    type: boolean
                    example: true
                  eval_id:
                    type: string
                    example: eval_abc123
                required:
                  - object
                  - deleted
                  - eval_id
        "404":
          description: Evaluation not found.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Error"
      x-oaiMeta:
        name: Delete an eval
        group: evals
        returns: A deletion confirmation object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/evals/eval_abc123 \
                -X DELETE \
                -H "Authorization: Bearer $OPENAI_API_KEY"
          response: |
            {
              "object": "eval.deleted",
              "deleted": true,
              "eval_id": "eval_abc123"
            }
  /evals/{eval_id}/runs:
    get:
      operationId: getEvalRuns
      tags:
        - Evals
      summary: |
        Get a list of runs for an evaluation.
      parameters:
        - name: eval_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the evaluation to retrieve runs for.
        - name: after
          in: query
          description: Identifier for the last run from the previous pagination request.
          required: false
          schema:
            type: string
        - name: limit
          in: query
          description: Number of runs to retrieve.
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: Sort order for runs by timestamp. Use `asc` for ascending order or
            `desc` for descending order. Defaults to `asc`.
          required: false
          schema:
            type: string
            enum:
              - asc
              - desc
            default: asc
        - name: status
          in: query
          description: Filter runs by status. One of `queued` | `in_progress` | `failed` |
            `completed` | `canceled`.
          required: false
          schema:
            type: string
            enum:
              - queued
              - in_progress
              - completed
              - canceled
              - failed
      responses:
        "200":
          description: A list of runs for the evaluation
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/EvalRunList"
      x-oaiMeta:
        name: Get eval runs
        group: evals
        returns: A list of [EvalRun](/docs/api-reference/evals/run-object) objects
          matching the specified ID.
        path: get-runs
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/evals/egroup_67abd54d9b0081909a86353f6fb9317a/runs \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
          response: >
            {
              "object": "list",
              "data": [
                {
                  "object": "eval.run",
                  "id": "evalrun_67e0c7d31560819090d60c0780591042",
                  "eval_id": "eval_67e0c726d560819083f19a957c4c640b",
                  "report_url": "https://platform.openai.com/evaluations/eval_67e0c726d560819083f19a957c4c640b",
                  "status": "completed",
                  "model": "o3-mini",
                  "name": "bulk_with_negative_examples_o3-mini",
                  "created_at": 1742784467,
                  "result_counts": {
                    "total": 1,
                    "errored": 0,
                    "failed": 0,
                    "passed": 1
                  },
                  "per_model_usage": [
                    {
                      "model_name": "o3-mini",
                      "invocation_count": 1,
                      "prompt_tokens": 563,
                      "completion_tokens": 874,
                      "total_tokens": 1437,
                      "cached_tokens": 0
                    }
                  ],
                  "per_testing_criteria_results": [
                    {
                      "testing_criteria": "Push Notification Summary Grader-1808cd0b-eeec-4e0b-a519-337e79f4f5d1",
                      "passed": 1,
                      "failed": 0
                    }
                  ],
                  "data_source": {
                    "type": "completions",
                    "source": {
                      "type": "file_content",
                      "content": [
                        {
                          "item": {
                            "notifications": "\n- New message from Sarah: \"Can you call me later?\"\n- Your package has been delivered!\n- Flash sale: 20% off electronics for the next 2 hours!\n"
                          }
                        }
                      ]
                    },
                    "input_messages": {
                      "type": "template",
                      "template": [
                        {
                          "type": "message",
                          "role": "developer",
                          "content": {
                            "type": "input_text",
                            "text": "\n\n\n\nYou are a helpful assistant that takes in an array of push notifications and returns a collapsed summary of them.\nThe push notification will be provided as follows:\n<push_notifications>\n...notificationlist...\n</push_notifications>\n\nYou should return just the summary and nothing else.\n\n\nYou should return a summary that is concise and snappy.\n\n\nHere is an example of a good summary:\n<push_notifications>\n- Traffic alert: Accident reported on Main Street.- Package out for delivery: Expected by 5 PM.- New friend suggestion: Connect with Emma.\n</push_notifications>\n<summary>\nTraffic alert, package expected by 5pm, suggestion for new friend (Emily).\n</summary>\n\n\nHere is an example of a bad summary:\n<push_notifications>\n- Traffic alert: Accident reported on Main Street.- Package out for delivery: Expected by 5 PM.- New friend suggestion: Connect with Emma.\n</push_notifications>\n<summary>\nTraffic alert reported on main street. You have a package that will arrive by 5pm, Emily is a new friend suggested for you.\n</summary>\n"
                          }
                        },
                        {
                          "type": "message",
                          "role": "user",
                          "content": {
                            "type": "input_text",
                            "text": "<push_notifications>{{item.notifications}}</push_notifications>"
                          }
                        }
                      ]
                    },
                    "model": "o3-mini",
                    "sampling_params": null
                  },
                  "error": null,
                  "metadata": {}
                }
              ],
              "first_id": "evalrun_67e0c7d31560819090d60c0780591042",
              "last_id": "evalrun_67e0c7d31560819090d60c0780591042",
              "has_more": true
            }
    post:
      operationId: createEvalRun
      tags:
        - Evals
      summary: >
        Create a new evaluation run. This is the endpoint that will kick off
        grading.
      parameters:
        - in: path
          name: eval_id
          required: true
          schema:
            type: string
          description: The ID of the evaluation to create a run for.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateEvalRunRequest"
      responses:
        "201":
          description: Successfully created a run for the evaluation
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/EvalRun"
        "400":
          description: Bad request (for example, missing eval object)
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Error"
      x-oaiMeta:
        name: Create eval run
        group: evals
        returns: The [EvalRun](/docs/api-reference/evals/run-object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/evals/eval_67e579652b548190aaa83ada4b125f47/runs \
                -X POST \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -d '{"name":"gpt-4o-mini","data_source":{"type":"completions","input_messages":{"type":"template","template":[{"role":"developer","content":"Categorize a given news headline into one of the following topics: Technology, Markets, World, Business, or Sports.\n\n# Steps\n\n1. Analyze the content of the news headline to understand its primary focus.\n2. Extract the subject matter, identifying any key indicators or keywords.\n3. Use the identified indicators to determine the most suitable category out of the five options: Technology, Markets, World, Business, or Sports.\n4. Ensure only one category is selected per headline.\n\n# Output Format\n\nRespond with the chosen category as a single word. For instance: \"Technology\", \"Markets\", \"World\", \"Business\", or \"Sports\".\n\n# Examples\n\n**Input**: \"Apple Unveils New iPhone Model, Featuring Advanced AI Features\"  \n**Output**: \"Technology\"\n\n**Input**: \"Global Stocks Mixed as Investors Await Central Bank Decisions\"  \n**Output**: \"Markets\"\n\n**Input**: \"War in Ukraine: Latest Updates on Negotiation Status\"  \n**Output**: \"World\"\n\n**Input**: \"Microsoft in Talks to Acquire Gaming Company for $2 Billion\"  \n**Output**: \"Business\"\n\n**Input**: \"Manchester United Secures Win in Premier League Football Match\"  \n**Output**: \"Sports\" \n\n# Notes\n\n- If the headline appears to fit into more than one category, choose the most dominant theme.\n- Keywords or phrases such as \"stocks\", \"company acquisition\", \"match\", or technological brands can be good indicators for classification.\n"} , {"role":"user","content":"{{item.input}}"}]},"sampling_params":{"temperature":1,"max_completions_tokens":2048,"top_p":1,"seed":42},"model":"gpt-4o-mini","source":{"type":"file_content","content":[{"item":{"input":"Tech Company Launches Advanced Artificial Intelligence Platform","ground_truth":"Technology"}}]}}'
          response: >
            {
              "object": "eval.run",
              "id": "evalrun_67e57965b480819094274e3a32235e4c",
              "eval_id": "eval_67e579652b548190aaa83ada4b125f47",
              "report_url": "https://platform.openai.com/evaluations/eval_67e579652b548190aaa83ada4b125f47&run_id=evalrun_67e57965b480819094274e3a32235e4c",
              "status": "queued",
              "model": "gpt-4o-mini",
              "name": "gpt-4o-mini",
              "created_at": 1743092069,
              "result_counts": {
                "total": 0,
                "errored": 0,
                "failed": 0,
                "passed": 0
              },
              "per_model_usage": null,
              "per_testing_criteria_results": null,
              "data_source": {
                "type": "completions",
                "source": {
                  "type": "file_content",
                  "content": [
                    {
                      "item": {
                        "input": "Tech Company Launches Advanced Artificial Intelligence Platform",
                        "ground_truth": "Technology"
                      }
                    }
                  ]
                },
                "input_messages": {
                  "type": "template",
                  "template": [
                    {
                      "type": "message",
                      "role": "developer",
                      "content": {
                        "type": "input_text",
                        "text": "Categorize a given news headline into one of the following topics: Technology, Markets, World, Business, or Sports.\n\n# Steps\n\n1. Analyze the content of the news headline to understand its primary focus.\n2. Extract the subject matter, identifying any key indicators or keywords.\n3. Use the identified indicators to determine the most suitable category out of the five options: Technology, Markets, World, Business, or Sports.\n4. Ensure only one category is selected per headline.\n\n# Output Format\n\nRespond with the chosen category as a single word. For instance: \"Technology\", \"Markets\", \"World\", \"Business\", or \"Sports\".\n\n# Examples\n\n**Input**: \"Apple Unveils New iPhone Model, Featuring Advanced AI Features\"  \n**Output**: \"Technology\"\n\n**Input**: \"Global Stocks Mixed as Investors Await Central Bank Decisions\"  \n**Output**: \"Markets\"\n\n**Input**: \"War in Ukraine: Latest Updates on Negotiation Status\"  \n**Output**: \"World\"\n\n**Input**: \"Microsoft in Talks to Acquire Gaming Company for $2 Billion\"  \n**Output**: \"Business\"\n\n**Input**: \"Manchester United Secures Win in Premier League Football Match\"  \n**Output**: \"Sports\" \n\n# Notes\n\n- If the headline appears to fit into more than one category, choose the most dominant theme.\n- Keywords or phrases such as \"stocks\", \"company acquisition\", \"match\", or technological brands can be good indicators for classification.\n"
                      }
                    },
                    {
                      "type": "message",
                      "role": "user",
                      "content": {
                        "type": "input_text",
                        "text": "{{item.input}}"
                      }
                    }
                  ]
                },
                "model": "gpt-4o-mini",
                "sampling_params": {
                  "seed": 42,
                  "temperature": 1.0,
                  "top_p": 1.0,
                  "max_completions_tokens": 2048
                }
              },
              "error": null,
              "metadata": {}
            }
  /evals/{eval_id}/runs/{run_id}:
    get:
      operationId: getEvalRun
      tags:
        - Evals
      summary: |
        Get an evaluation run by ID.
      parameters:
        - name: eval_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the evaluation to retrieve runs for.
        - name: run_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the run to retrieve.
      responses:
        "200":
          description: The evaluation run
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/EvalRun"
      x-oaiMeta:
        name: Get an eval run
        group: evals
        returns: The [EvalRun](/docs/api-reference/evals/run-object) object matching the
          specified ID.
        path: get
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/evals/eval_67abd54d9b0081909a86353f6fb9317a/runs/evalrun_67abd54d60ec8190832b46859da808f7 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
          response: >
            {
              "object": "eval.run",
              "id": "evalrun_67abd54d60ec8190832b46859da808f7",
              "eval_id": "eval_67abd54d9b0081909a86353f6fb9317a",
              "report_url": "https://platform.openai.com/evaluations/eval_67abd54d9b0081909a86353f6fb9317a?run_id=evalrun_67abd54d60ec8190832b46859da808f7",
              "status": "queued",
              "model": "gpt-4o-mini",
              "name": "gpt-4o-mini",
              "created_at": 1743092069,
              "result_counts": {
                "total": 0,
                "errored": 0,
                "failed": 0,
                "passed": 0
              },
              "per_model_usage": null,
              "per_testing_criteria_results": null,
              "data_source": {
                "type": "completions",
                "source": {
                  "type": "file_content",
                  "content": [
                    {
                      "item": {
                        "input": "Tech Company Launches Advanced Artificial Intelligence Platform",
                        "ground_truth": "Technology"
                      }
                    },
                    {
                      "item": {
                        "input": "Central Bank Increases Interest Rates Amid Inflation Concerns",
                        "ground_truth": "Markets"
                      }
                    },
                    {
                      "item": {
                        "input": "International Summit Addresses Climate Change Strategies",
                        "ground_truth": "World"
                      }
                    },
                    {
                      "item": {
                        "input": "Major Retailer Reports Record-Breaking Holiday Sales",
                        "ground_truth": "Business"
                      }
                    },
                    {
                      "item": {
                        "input": "National Team Qualifies for World Championship Finals",
                        "ground_truth": "Sports"
                      }
                    },
                    {
                      "item": {
                        "input": "Stock Markets Rally After Positive Economic Data Released",
                        "ground_truth": "Markets"
                      }
                    },
                    {
                      "item": {
                        "input": "Global Manufacturer Announces Merger with Competitor",
                        "ground_truth": "Business"
                      }
                    },
                    {
                      "item": {
                        "input": "Breakthrough in Renewable Energy Technology Unveiled",
                        "ground_truth": "Technology"
                      }
                    },
                    {
                      "item": {
                        "input": "World Leaders Sign Historic Climate Agreement",
                        "ground_truth": "World"
                      }
                    },
                    {
                      "item": {
                        "input": "Professional Athlete Sets New Record in Championship Event",
                        "ground_truth": "Sports"
                      }
                    },
                    {
                      "item": {
                        "input": "Financial Institutions Adapt to New Regulatory Requirements",
                        "ground_truth": "Business"
                      }
                    },
                    {
                      "item": {
                        "input": "Tech Conference Showcases Advances in Artificial Intelligence",
                        "ground_truth": "Technology"
                      }
                    },
                    {
                      "item": {
                        "input": "Global Markets Respond to Oil Price Fluctuations",
                        "ground_truth": "Markets"
                      }
                    },
                    {
                      "item": {
                        "input": "International Cooperation Strengthened Through New Treaty",
                        "ground_truth": "World"
                      }
                    },
                    {
                      "item": {
                        "input": "Sports League Announces Revised Schedule for Upcoming Season",
                        "ground_truth": "Sports"
                      }
                    }
                  ]
                },
                "input_messages": {
                  "type": "template",
                  "template": [
                    {
                      "type": "message",
                      "role": "developer",
                      "content": {
                        "type": "input_text",
                        "text": "Categorize a given news headline into one of the following topics: Technology, Markets, World, Business, or Sports.\n\n# Steps\n\n1. Analyze the content of the news headline to understand its primary focus.\n2. Extract the subject matter, identifying any key indicators or keywords.\n3. Use the identified indicators to determine the most suitable category out of the five options: Technology, Markets, World, Business, or Sports.\n4. Ensure only one category is selected per headline.\n\n# Output Format\n\nRespond with the chosen category as a single word. For instance: \"Technology\", \"Markets\", \"World\", \"Business\", or \"Sports\".\n\n# Examples\n\n**Input**: \"Apple Unveils New iPhone Model, Featuring Advanced AI Features\"  \n**Output**: \"Technology\"\n\n**Input**: \"Global Stocks Mixed as Investors Await Central Bank Decisions\"  \n**Output**: \"Markets\"\n\n**Input**: \"War in Ukraine: Latest Updates on Negotiation Status\"  \n**Output**: \"World\"\n\n**Input**: \"Microsoft in Talks to Acquire Gaming Company for $2 Billion\"  \n**Output**: \"Business\"\n\n**Input**: \"Manchester United Secures Win in Premier League Football Match\"  \n**Output**: \"Sports\" \n\n# Notes\n\n- If the headline appears to fit into more than one category, choose the most dominant theme.\n- Keywords or phrases such as \"stocks\", \"company acquisition\", \"match\", or technological brands can be good indicators for classification.\n"
                      }
                    },
                    {
                      "type": "message",
                      "role": "user",
                      "content": {
                        "type": "input_text",
                        "text": "{{item.input}}"
                      }
                    }
                  ]
                },
                "model": "gpt-4o-mini",
                "sampling_params": {
                  "seed": 42,
                  "temperature": 1.0,
                  "top_p": 1.0,
                  "max_completions_tokens": 2048
                }
              },
              "error": null,
              "metadata": {}
            }
    post:
      operationId: cancelEvalRun
      tags:
        - Evals
      summary: |
        Cancel an ongoing evaluation run.
      parameters:
        - name: eval_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the evaluation whose run you want to cancel.
        - name: run_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the run to cancel.
      responses:
        "200":
          description: The canceled eval run object
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/EvalRun"
      x-oaiMeta:
        name: Cancel eval run
        group: evals
        returns: The updated [EvalRun](/docs/api-reference/evals/run-object) object
          reflecting that the run is canceled.
        path: post
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/evals/eval_67abd54d9b0081909a86353f6fb9317a/runs/evalrun_67abd54d60ec8190832b46859da808f7/cancel \
                -X POST \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
          response: >
            {
              "object": "eval.run",
              "id": "evalrun_67abd54d60ec8190832b46859da808f7",
              "eval_id": "eval_67abd54d9b0081909a86353f6fb9317a",
              "report_url": "https://platform.openai.com/evaluations/eval_67abd54d9b0081909a86353f6fb9317a?run_id=evalrun_67abd54d60ec8190832b46859da808f7",
              "status": "canceled",
              "model": "gpt-4o-mini",
              "name": "gpt-4o-mini",
              "created_at": 1743092069,
              "result_counts": {
                "total": 0,
                "errored": 0,
                "failed": 0,
                "passed": 0
              },
              "per_model_usage": null,
              "per_testing_criteria_results": null,
              "data_source": {
                "type": "completions",
                "source": {
                  "type": "file_content",
                  "content": [
                    {
                      "item": {
                        "input": "Tech Company Launches Advanced Artificial Intelligence Platform",
                        "ground_truth": "Technology"
                      }
                    },
                    {
                      "item": {
                        "input": "Central Bank Increases Interest Rates Amid Inflation Concerns",
                        "ground_truth": "Markets"
                      }
                    },
                    {
                      "item": {
                        "input": "International Summit Addresses Climate Change Strategies",
                        "ground_truth": "World"
                      }
                    },
                    {
                      "item": {
                        "input": "Major Retailer Reports Record-Breaking Holiday Sales",
                        "ground_truth": "Business"
                      }
                    },
                    {
                      "item": {
                        "input": "National Team Qualifies for World Championship Finals",
                        "ground_truth": "Sports"
                      }
                    },
                    {
                      "item": {
                        "input": "Stock Markets Rally After Positive Economic Data Released",
                        "ground_truth": "Markets"
                      }
                    },
                    {
                      "item": {
                        "input": "Global Manufacturer Announces Merger with Competitor",
                        "ground_truth": "Business"
                      }
                    },
                    {
                      "item": {
                        "input": "Breakthrough in Renewable Energy Technology Unveiled",
                        "ground_truth": "Technology"
                      }
                    },
                    {
                      "item": {
                        "input": "World Leaders Sign Historic Climate Agreement",
                        "ground_truth": "World"
                      }
                    },
                    {
                      "item": {
                        "input": "Professional Athlete Sets New Record in Championship Event",
                        "ground_truth": "Sports"
                      }
                    },
                    {
                      "item": {
                        "input": "Financial Institutions Adapt to New Regulatory Requirements",
                        "ground_truth": "Business"
                      }
                    },
                    {
                      "item": {
                        "input": "Tech Conference Showcases Advances in Artificial Intelligence",
                        "ground_truth": "Technology"
                      }
                    },
                    {
                      "item": {
                        "input": "Global Markets Respond to Oil Price Fluctuations",
                        "ground_truth": "Markets"
                      }
                    },
                    {
                      "item": {
                        "input": "International Cooperation Strengthened Through New Treaty",
                        "ground_truth": "World"
                      }
                    },
                    {
                      "item": {
                        "input": "Sports League Announces Revised Schedule for Upcoming Season",
                        "ground_truth": "Sports"
                      }
                    }
                  ]
                },
                "input_messages": {
                  "type": "template",
                  "template": [
                    {
                      "type": "message",
                      "role": "developer",
                      "content": {
                        "type": "input_text",
                        "text": "Categorize a given news headline into one of the following topics: Technology, Markets, World, Business, or Sports.\n\n# Steps\n\n1. Analyze the content of the news headline to understand its primary focus.\n2. Extract the subject matter, identifying any key indicators or keywords.\n3. Use the identified indicators to determine the most suitable category out of the five options: Technology, Markets, World, Business, or Sports.\n4. Ensure only one category is selected per headline.\n\n# Output Format\n\nRespond with the chosen category as a single word. For instance: \"Technology\", \"Markets\", \"World\", \"Business\", or \"Sports\".\n\n# Examples\n\n**Input**: \"Apple Unveils New iPhone Model, Featuring Advanced AI Features\"  \n**Output**: \"Technology\"\n\n**Input**: \"Global Stocks Mixed as Investors Await Central Bank Decisions\"  \n**Output**: \"Markets\"\n\n**Input**: \"War in Ukraine: Latest Updates on Negotiation Status\"  \n**Output**: \"World\"\n\n**Input**: \"Microsoft in Talks to Acquire Gaming Company for $2 Billion\"  \n**Output**: \"Business\"\n\n**Input**: \"Manchester United Secures Win in Premier League Football Match\"  \n**Output**: \"Sports\" \n\n# Notes\n\n- If the headline appears to fit into more than one category, choose the most dominant theme.\n- Keywords or phrases such as \"stocks\", \"company acquisition\", \"match\", or technological brands can be good indicators for classification.\n"
                      }
                    },
                    {
                      "type": "message",
                      "role": "user",
                      "content": {
                        "type": "input_text",
                        "text": "{{item.input}}"
                      }
                    }
                  ]
                },
                "model": "gpt-4o-mini",
                "sampling_params": {
                  "seed": 42,
                  "temperature": 1.0,
                  "top_p": 1.0,
                  "max_completions_tokens": 2048
                }
              },
              "error": null,
              "metadata": {}
            }
    delete:
      operationId: deleteEvalRun
      tags:
        - Evals
      summary: |
        Delete an eval run.
      parameters:
        - name: eval_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the evaluation to delete the run from.
        - name: run_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the run to delete.
      responses:
        "200":
          description: Successfully deleted the eval run
          content:
            application/json:
              schema:
                type: object
                properties:
                  object:
                    type: string
                    example: eval.run.deleted
                  deleted:
                    type: boolean
                    example: true
                  run_id:
                    type: string
                    example: evalrun_677469f564d48190807532a852da3afb
        "404":
          description: Run not found
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Error"
      x-oaiMeta:
        name: Delete eval run
        group: evals
        returns: An object containing the status of the delete operation.
        path: delete
        examples:
          request:
            curl: >
              curl
              https://api.openai.com/v1/evals/eval_123abc/runs/evalrun_abc456 \
                -X DELETE \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
              "object": "eval.run.deleted",
              "deleted": true,
              "run_id": "evalrun_abc456"
            }
  /evals/{eval_id}/runs/{run_id}/output_items:
    get:
      operationId: getEvalRunOutputItems
      tags:
        - Evals
      summary: |
        Get a list of output items for an evaluation run.
      parameters:
        - name: eval_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the evaluation to retrieve runs for.
        - name: run_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the run to retrieve output items for.
        - name: after
          in: query
          description: Identifier for the last output item from the previous pagination
            request.
          required: false
          schema:
            type: string
        - name: limit
          in: query
          description: Number of output items to retrieve.
          required: false
          schema:
            type: integer
            default: 20
        - name: status
          in: query
          description: >
            Filter output items by status. Use `failed` to filter by failed
            output

            items or `pass` to filter by passed output items.
          required: false
          schema:
            type: string
            enum:
              - fail
              - pass
        - name: order
          in: query
          description: Sort order for output items by timestamp. Use `asc` for ascending
            order or `desc` for descending order. Defaults to `asc`.
          required: false
          schema:
            type: string
            enum:
              - asc
              - desc
            default: asc
      responses:
        "200":
          description: A list of output items for the evaluation run
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/EvalRunOutputItemList"
      x-oaiMeta:
        name: Get eval run output items
        group: evals
        returns: A list of
          [EvalRunOutputItem](/docs/api-reference/evals/run-output-item-object)
          objects matching the specified ID.
        path: get
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/evals/egroup_67abd54d9b0081909a86353f6fb9317a/runs/erun_67abd54d60ec8190832b46859da808f7/output_items \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
          response: >
            {
              "object": "list",
              "data": [
                {
                  "object": "eval.run.output_item",
                  "id": "outputitem_67e5796c28e081909917bf79f6e6214d",
                  "created_at": 1743092076,
                  "run_id": "evalrun_67abd54d60ec8190832b46859da808f7",
                  "eval_id": "eval_67abd54d9b0081909a86353f6fb9317a",
                  "status": "pass",
                  "datasource_item_id": 5,
                  "datasource_item": {
                    "input": "Stock Markets Rally After Positive Economic Data Released",
                    "ground_truth": "Markets"
                  },
                  "results": [
                    {
                      "name": "String check-a2486074-d803-4445-b431-ad2262e85d47",
                      "sample": null,
                      "passed": true,
                      "score": 1.0
                    }
                  ],
                  "sample": {
                    "input": [
                      {
                        "role": "developer",
                        "content": "Categorize a given news headline into one of the following topics: Technology, Markets, World, Business, or Sports.\n\n# Steps\n\n1. Analyze the content of the news headline to understand its primary focus.\n2. Extract the subject matter, identifying any key indicators or keywords.\n3. Use the identified indicators to determine the most suitable category out of the five options: Technology, Markets, World, Business, or Sports.\n4. Ensure only one category is selected per headline.\n\n# Output Format\n\nRespond with the chosen category as a single word. For instance: \"Technology\", \"Markets\", \"World\", \"Business\", or \"Sports\".\n\n# Examples\n\n**Input**: \"Apple Unveils New iPhone Model, Featuring Advanced AI Features\"  \n**Output**: \"Technology\"\n\n**Input**: \"Global Stocks Mixed as Investors Await Central Bank Decisions\"  \n**Output**: \"Markets\"\n\n**Input**: \"War in Ukraine: Latest Updates on Negotiation Status\"  \n**Output**: \"World\"\n\n**Input**: \"Microsoft in Talks to Acquire Gaming Company for $2 Billion\"  \n**Output**: \"Business\"\n\n**Input**: \"Manchester United Secures Win in Premier League Football Match\"  \n**Output**: \"Sports\" \n\n# Notes\n\n- If the headline appears to fit into more than one category, choose the most dominant theme.\n- Keywords or phrases such as \"stocks\", \"company acquisition\", \"match\", or technological brands can be good indicators for classification.\n",
                        "tool_call_id": null,
                        "tool_calls": null,
                        "function_call": null
                      },
                      {
                        "role": "user",
                        "content": "Stock Markets Rally After Positive Economic Data Released",
                        "tool_call_id": null,
                        "tool_calls": null,
                        "function_call": null
                      }
                    ],
                    "output": [
                      {
                        "role": "assistant",
                        "content": "Markets",
                        "tool_call_id": null,
                        "tool_calls": null,
                        "function_call": null
                      }
                    ],
                    "finish_reason": "stop",
                    "model": "gpt-4o-mini-2024-07-18",
                    "usage": {
                      "total_tokens": 325,
                      "completion_tokens": 2,
                      "prompt_tokens": 323,
                      "cached_tokens": 0
                    },
                    "error": null,
                    "temperature": 1.0,
                    "max_completion_tokens": 2048,
                    "top_p": 1.0,
                    "seed": 42
                  }
                }
              ],
              "first_id": "outputitem_67e5796c28e081909917bf79f6e6214d",
              "last_id": "outputitem_67e5796c28e081909917bf79f6e6214d",
              "has_more": true
            }
  /evals/{eval_id}/runs/{run_id}/output_items/{output_item_id}:
    get:
      operationId: getEvalRunOutputItem
      tags:
        - Evals
      summary: |
        Get an evaluation run output item by ID.
      parameters:
        - name: eval_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the evaluation to retrieve runs for.
        - name: run_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the run to retrieve.
        - name: output_item_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the output item to retrieve.
      responses:
        "200":
          description: The evaluation run output item
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/EvalRunOutputItem"
      x-oaiMeta:
        name: Get an output item of an eval run
        group: evals
        returns: The
          [EvalRunOutputItem](/docs/api-reference/evals/run-output-item-object)
          object matching the specified ID.
        path: get
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/evals/eval_67abd54d9b0081909a86353f6fb9317a/runs/evalrun_67abd54d60ec8190832b46859da808f7/output_items/outputitem_67abd55eb6548190bb580745d5644a33 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json"
          response: >
            {
              "object": "eval.run.output_item",
              "id": "outputitem_67e5796c28e081909917bf79f6e6214d",
              "created_at": 1743092076,
              "run_id": "evalrun_67abd54d60ec8190832b46859da808f7",
              "eval_id": "eval_67abd54d9b0081909a86353f6fb9317a",
              "status": "pass",
              "datasource_item_id": 5,
              "datasource_item": {
                "input": "Stock Markets Rally After Positive Economic Data Released",
                "ground_truth": "Markets"
              },
              "results": [
                {
                  "name": "String check-a2486074-d803-4445-b431-ad2262e85d47",
                  "sample": null,
                  "passed": true,
                  "score": 1.0
                }
              ],
              "sample": {
                "input": [
                  {
                    "role": "developer",
                    "content": "Categorize a given news headline into one of the following topics: Technology, Markets, World, Business, or Sports.\n\n# Steps\n\n1. Analyze the content of the news headline to understand its primary focus.\n2. Extract the subject matter, identifying any key indicators or keywords.\n3. Use the identified indicators to determine the most suitable category out of the five options: Technology, Markets, World, Business, or Sports.\n4. Ensure only one category is selected per headline.\n\n# Output Format\n\nRespond with the chosen category as a single word. For instance: \"Technology\", \"Markets\", \"World\", \"Business\", or \"Sports\".\n\n# Examples\n\n**Input**: \"Apple Unveils New iPhone Model, Featuring Advanced AI Features\"  \n**Output**: \"Technology\"\n\n**Input**: \"Global Stocks Mixed as Investors Await Central Bank Decisions\"  \n**Output**: \"Markets\"\n\n**Input**: \"War in Ukraine: Latest Updates on Negotiation Status\"  \n**Output**: \"World\"\n\n**Input**: \"Microsoft in Talks to Acquire Gaming Company for $2 Billion\"  \n**Output**: \"Business\"\n\n**Input**: \"Manchester United Secures Win in Premier League Football Match\"  \n**Output**: \"Sports\" \n\n# Notes\n\n- If the headline appears to fit into more than one category, choose the most dominant theme.\n- Keywords or phrases such as \"stocks\", \"company acquisition\", \"match\", or technological brands can be good indicators for classification.\n",
                    "tool_call_id": null,
                    "tool_calls": null,
                    "function_call": null
                  },
                  {
                    "role": "user",
                    "content": "Stock Markets Rally After Positive Economic Data Released",
                    "tool_call_id": null,
                    "tool_calls": null,
                    "function_call": null
                  }
                ],
                "output": [
                  {
                    "role": "assistant",
                    "content": "Markets",
                    "tool_call_id": null,
                    "tool_calls": null,
                    "function_call": null
                  }
                ],
                "finish_reason": "stop",
                "model": "gpt-4o-mini-2024-07-18",
                "usage": {
                  "total_tokens": 325,
                  "completion_tokens": 2,
                  "prompt_tokens": 323,
                  "cached_tokens": 0
                },
                "error": null,
                "temperature": 1.0,
                "max_completion_tokens": 2048,
                "top_p": 1.0,
                "seed": 42
              }
            }
  /files:
    get:
      operationId: listFiles
      tags:
        - Files
      summary: Returns a list of files.
      parameters:
        - in: query
          name: purpose
          required: false
          schema:
            type: string
          description: Only return files with the given purpose.
        - name: limit
          in: query
          description: >
            A limit on the number of objects to be returned. Limit can range
            between 1 and 10,000, and the default is 10,000.
          required: false
          schema:
            type: integer
            default: 10000
        - name: order
          in: query
          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: >
            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
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListFilesResponse"
      x-oaiMeta:
        name: List files
        group: files
        returns: A list of [File](/docs/api-reference/files/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/files \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.files.list()
            node.js: |-
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const list = await openai.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. Individual
        files can be up to 512 MB, and the size of all files uploaded by one
        organization can be up to 100 GB.


        The Assistants API supports files up to 2 million tokens and of specific
        file types. See the [Assistants Tools guide](/docs/assistants/tools) for
        details.


        The Fine-tuning API only supports `.jsonl` files. The input also has
        certain required formats for fine-tuning
        [chat](/docs/api-reference/fine-tuning/chat-input) or
        [completions](/docs/api-reference/fine-tuning/completions-input) models.


        The Batch API only supports `.jsonl` files up to 200 MB in size. The
        input also has a specific required
        [format](/docs/api-reference/batch/request-input).


        Please [contact us](https://help.openai.com/) if you need to increase
        these storage limits.
      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](/docs/api-reference/files/object) object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/files \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -F purpose="fine-tune" \
                -F file="@mydata.jsonl"
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              const openai = new OpenAI();

              async function main() {
                const file = await openai.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.openai.com/v1/files/file-abc123 \
                -X DELETE \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.files.delete("file-abc123")
            node.js: |-
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const file = await openai.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](/docs/api-reference/files/object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/files/file-abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.files.retrieve("file-abc123")
            node.js: |-
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const file = await openai.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.openai.com/v1/files/file-abc123/content \
                -H "Authorization: Bearer $OPENAI_API_KEY" > file.jsonl
            python: |
              from openai import OpenAI
              client = OpenAI()

              content = client.files.content("file-abc123")
            node.js: |
              import OpenAI from "openai";

              const openai = new OpenAI();

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

                console.log(file);
              }

              main();
  /fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions:
    get:
      operationId: listFineTuningCheckpointPermissions
      tags:
        - Fine-tuning
      summary: >
        **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).


        Organization owners can use this endpoint to view all permissions for a
        fine-tuned model checkpoint.
      parameters:
        - in: path
          name: fine_tuned_model_checkpoint
          required: true
          schema:
            type: string
            example: ft-AF1WoRqd3aJAHsqc9NY7iL8F
          description: |
            The ID of the fine-tuned model checkpoint to get permissions for.
        - name: project_id
          in: query
          description: The ID of the project to get permissions for.
          required: false
          schema:
            type: string
        - name: after
          in: query
          description: Identifier for the last permission ID from the previous pagination
            request.
          required: false
          schema:
            type: string
        - name: limit
          in: query
          description: Number of permissions to retrieve.
          required: false
          schema:
            type: integer
            default: 10
        - name: order
          in: query
          description: The order in which to retrieve permissions.
          required: false
          schema:
            type: string
            enum:
              - ascending
              - descending
            default: descending
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListFineTuningCheckpointPermissionResponse"
      x-oaiMeta:
        name: List checkpoint permissions
        group: fine-tuning
        returns: A list of fine-tuned model checkpoint [permission
          objects](/docs/api-reference/fine-tuning/permission-object) for a
          fine-tuned model checkpoint.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/fine_tuning/checkpoints/ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd/permissions \
                -H "Authorization: Bearer $OPENAI_API_KEY"
          response: |
            {
              "object": "list",
              "data": [
                {
                  "object": "checkpoint.permission",
                  "id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
                  "created_at": 1721764867,
                  "project_id": "proj_abGMw1llN8IrBb6SvvY5A1iH"
                },
                {
                  "object": "checkpoint.permission",
                  "id": "cp_enQCFmOTGj3syEpYVhBRLTSy",
                  "created_at": 1721764800,
                  "project_id": "proj_iqGMw1llN8IrBb6SvvY5A1oF"
                },
              ],
              "first_id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
              "last_id": "cp_enQCFmOTGj3syEpYVhBRLTSy",
              "has_more": false
            }
    post:
      operationId: createFineTuningCheckpointPermission
      tags:
        - Fine-tuning
      summary: >
        **NOTE:** Calling this endpoint requires an [admin API
        key](../admin-api-keys).


        This enables organization owners to share fine-tuned models with other
        projects in their organization.
      parameters:
        - in: path
          name: fine_tuned_model_checkpoint
          required: true
          schema:
            type: string
            example: ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd
          description: >
            The ID of the fine-tuned model checkpoint to create a permission for.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateFineTuningCheckpointPermissionRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListFineTuningCheckpointPermissionResponse"
      x-oaiMeta:
        name: Create checkpoint permissions
        group: fine-tuning
        returns: A list of fine-tuned model checkpoint [permission
          objects](/docs/api-reference/fine-tuning/permission-object) for a
          fine-tuned model checkpoint.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/fine_tuning/checkpoints/ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd/permissions \
                -H "Authorization: Bearer $OPENAI_API_KEY"
                -d '{"project_ids": ["proj_abGMw1llN8IrBb6SvvY5A1iH"]}'
          response: |
            {
              "object": "list",
              "data": [
                {
                  "object": "checkpoint.permission",
                  "id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
                  "created_at": 1721764867,
                  "project_id": "proj_abGMw1llN8IrBb6SvvY5A1iH"
                }
              ],
              "first_id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
              "last_id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
              "has_more": false
            }
  /fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions/{permission_id}:
    delete:
      operationId: deleteFineTuningCheckpointPermission
      tags:
        - Fine-tuning
      summary: >
        **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).


        Organization owners can use this endpoint to delete a permission for a
        fine-tuned model checkpoint.
      parameters:
        - in: path
          name: fine_tuned_model_checkpoint
          required: true
          schema:
            type: string
            example: ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd
          description: >
            The ID of the fine-tuned model checkpoint to delete a permission for.
        - in: path
          name: permission_id
          required: true
          schema:
            type: string
            example: cp_zc4Q7MP6XxulcVzj4MZdwsAB
          description: |
            The ID of the fine-tuned model checkpoint permission to delete.
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/DeleteFineTuningCheckpointPermissionResponse"
      x-oaiMeta:
        name: Delete checkpoint permission
        group: fine-tuning
        returns: The deletion status of the fine-tuned model checkpoint [permission
          object](/docs/api-reference/fine-tuning/permission-object).
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/fine_tuning/checkpoints/ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd/permissions/cp_zc4Q7MP6XxulcVzj4MZdwsAB \
                -H "Authorization: Bearer $OPENAI_API_KEY"
          response: |
            {
              "object": "checkpoint.permission",
              "id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
              "deleted": true
            }
  /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.


        Response includes details of the enqueued job including job status and
        the name of the fine-tuned models once complete.


        [Learn more about fine-tuning](/docs/guides/fine-tuning)
      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](/docs/api-reference/fine-tuning/object) object.
        examples:
          - title: Default
            request:
              curl: |
                curl https://api.openai.com/v1/fine_tuning/jobs \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "training_file": "file-BK7bzQj3FfZFXr7DbL6xJwfo",
                    "model": "gpt-4o-mini"
                  }'
              python: |
                from openai import OpenAI
                client = OpenAI()

                client.fine_tuning.jobs.create(
                  training_file="file-abc123",
                  model="gpt-4o-mini"
                )
              node.js: |
                import OpenAI from "openai";

                const openai = new OpenAI();

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

                  console.log(fineTune);
                }

                main();
            response: |
              {
                "object": "fine_tuning.job",
                "id": "ftjob-abc123",
                "model": "gpt-4o-mini-2024-07-18",
                "created_at": 1721764800,
                "fine_tuned_model": null,
                "organization_id": "org-123",
                "result_files": [],
                "status": "queued",
                "validation_file": null,
                "training_file": "file-abc123",
                "method": {
                  "type": "supervised",
                  "supervised": {
                    "hyperparameters": {
                      "batch_size": "auto",
                      "learning_rate_multiplier": "auto",
                      "n_epochs": "auto",
                    }
                  }
                },
                "metadata": null
              }
          - title: Epochs
            request:
              curl: |
                curl https://api.openai.com/v1/fine_tuning/jobs \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "training_file": "file-abc123",
                    "model": "gpt-4o-mini",
                    "method": {
                      "type": "supervised",
                      "supervised": {
                        "hyperparameters": {
                          "n_epochs": 2
                        }
                      }
                    }
                  }'
              python: |
                from openai import OpenAI
                client = OpenAI()

                client.fine_tuning.jobs.create(
                  training_file="file-abc123",
                  model="gpt-4o-mini",
                  method={
                    "type": "supervised",
                    "supervised": {
                      "hyperparameters": {
                        "n_epochs": 2
                      }
                    }
                  }
                )
              node.js: |
                import OpenAI from "openai";

                const openai = new OpenAI();

                async function main() {
                  const fineTune = await openai.fineTuning.jobs.create({
                    training_file: "file-abc123",
                    model: "gpt-4o-mini",
                    method: {
                      type: "supervised",
                      supervised: {
                        hyperparameters: {
                          n_epochs: 2
                        }
                      }
                    }
                  });

                  console.log(fineTune);
                }

                main();
            response: |
              {
                "object": "fine_tuning.job",
                "id": "ftjob-abc123",
                "model": "gpt-4o-mini-2024-07-18",
                "created_at": 1721764800,
                "fine_tuned_model": null,
                "organization_id": "org-123",
                "result_files": [],
                "status": "queued",
                "validation_file": null,
                "training_file": "file-abc123",
                "hyperparameters": {"n_epochs": 2},
                "method": {
                  "type": "supervised",
                  "supervised": {
                    "hyperparameters": {
                      "batch_size": "auto",
                      "learning_rate_multiplier": "auto",
                      "n_epochs": 2,
                    }
                  }
                },
                "metadata": null
              }
          - title: Validation file
            request:
              curl: |
                curl https://api.openai.com/v1/fine_tuning/jobs \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "training_file": "file-abc123",
                    "validation_file": "file-abc123",
                    "model": "gpt-4o-mini"
                  }'
              python: |
                from openai import OpenAI
                client = OpenAI()

                client.fine_tuning.jobs.create(
                  training_file="file-abc123",
                  validation_file="file-def456",
                  model="gpt-4o-mini"
                )
              node.js: |
                import OpenAI from "openai";

                const openai = new OpenAI();

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

                  console.log(fineTune);
                }

                main();
            response: |
              {
                "object": "fine_tuning.job",
                "id": "ftjob-abc123",
                "model": "gpt-4o-mini-2024-07-18",
                "created_at": 1721764800,
                "fine_tuned_model": null,
                "organization_id": "org-123",
                "result_files": [],
                "status": "queued",
                "validation_file": "file-abc123",
                "training_file": "file-abc123",
                "method": {
                  "type": "supervised",
                  "supervised": {
                    "hyperparameters": {
                      "batch_size": "auto",
                      "learning_rate_multiplier": "auto",
                      "n_epochs": "auto",
                    }
                  }
                },
                "metadata": null
              }
          - title: DPO
            request:
              curl: |
                curl https://api.openai.com/v1/fine_tuning/jobs \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "training_file": "file-abc123",
                    "validation_file": "file-abc123",
                    "model": "gpt-4o-mini",
                    "method": {
                      "type": "dpo",
                      "dpo": {
                        "hyperparameters": {
                          "beta": 0.1,
                        }
                      }
                    }
                  }'
            response: |
              {
                "object": "fine_tuning.job",
                "id": "ftjob-abc123",
                "model": "gpt-4o-mini-2024-07-18",
                "created_at": 1721764800,
                "fine_tuned_model": null,
                "organization_id": "org-123",
                "result_files": [],
                "status": "queued",
                "validation_file": "file-abc123",
                "training_file": "file-abc123",
                "method": {
                  "type": "dpo",
                  "dpo": {
                    "hyperparameters": {
                      "beta": 0.1,
                      "batch_size": "auto",
                      "learning_rate_multiplier": "auto",
                      "n_epochs": "auto",
                    }
                  }
                },
                "metadata": null
              }
          - title: W&B Integration
            request:
              curl: |
                curl https://api.openai.com/v1/fine_tuning/jobs \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "training_file": "file-abc123",
                    "validation_file": "file-abc123",
                    "model": "gpt-4o-mini",
                    "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-4o-mini-2024-07-18",
                "created_at": 1721764800,
                "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"
                    }
                  }
                ],
                "method": {
                  "type": "supervised",
                  "supervised": {
                    "hyperparameters": {
                      "batch_size": "auto",
                      "learning_rate_multiplier": "auto",
                      "n_epochs": "auto",
                    }
                  }
                },
                "metadata": null
              }
    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
        - in: query
          name: metadata
          required: false
          schema:
            type: object
            nullable: true
            additionalProperties:
              type: string
          style: deepObject
          explode: true
          description: >
            Optional metadata filter. To filter, use the syntax `metadata[k]=v`.
            Alternatively, set `metadata=null` to indicate no metadata.
      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](/docs/api-reference/fine-tuning/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/fine_tuning/jobs?limit=2&metadata[key]=value \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.fine_tuning.jobs.list()
            node.js: |-
              import OpenAI from "openai";

              const openai = new OpenAI();

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

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

              main();
          response: |
            {
              "object": "list",
              "data": [
                {
                  "object": "fine_tuning.job",
                  "id": "ftjob-abc123",
                  "model": "gpt-4o-mini-2024-07-18",
                  "created_at": 1721764800,
                  "fine_tuned_model": null,
                  "organization_id": "org-123",
                  "result_files": [],
                  "status": "queued",
                  "validation_file": null,
                  "training_file": "file-abc123",
                  "metadata": {
                    "key": "value"
                  }
                },
                { ... },
                { ... }
              ], "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](/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](/docs/api-reference/fine-tuning/object) object with
          the given ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/fine_tuning/jobs/ft-AF1WoRqd3aJAHsqc9NY7iL8F \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.fine_tuning.jobs.retrieve("ftjob-abc123")
            node.js: >
              import OpenAI from "openai";


              const openai = new OpenAI();


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

                console.log(fineTune);
              }


              main();
          response: >
            {
              "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,
              "method": {
                "type": "supervised",
                "supervised": {
                  "hyperparameters": {
                    "n_epochs": 4,
                    "batch_size": 1,
                    "learning_rate_multiplier": 1.0
                  }
                }
              }
            }
  /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](/docs/api-reference/fine-tuning/object)
          object.
        examples:
          request:
            curl: >
              curl -X POST
              https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/cancel \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.fine_tuning.jobs.cancel("ftjob-abc123")
            node.js: >-
              import OpenAI from "openai";


              const openai = new OpenAI();


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

                console.log(fineTune);
              }

              main();
          response: |
            {
              "object": "fine_tuning.job",
              "id": "ftjob-abc123",
              "model": "gpt-4o-mini-2024-07-18",
              "created_at": 1721764800,
              "fine_tuned_model": null,
              "organization_id": "org-123",
              "result_files": [],
              "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](/docs/api-reference/fine-tuning/checkpoint-object) for a
          fine-tuning job.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/checkpoints \
                -H "Authorization: Bearer $OPENAI_API_KEY"
          response: >
            {
              "object": "list"
              "data": [
                {
                  "object": "fine_tuning.job.checkpoint",
                  "id": "ftckpt_zc4Q7MP6XxulcVzj4MZdwsAB",
                  "created_at": 1721764867,
                  "fine_tuned_model_checkpoint": "ft:gpt-4o-mini-2024-07-18: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": 1721764800,
                  "fine_tuned_model_checkpoint": "ft:gpt-4o-mini-2024-07-18: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
            }
  /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.openai.com/v1/fine_tuning/jobs/ftjob-abc123/events \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.fine_tuning.jobs.list_events(
                fine_tuning_job_id="ftjob-abc123",
                limit=2
              )
            node.js: >-
              import OpenAI from "openai";


              const openai = new OpenAI();


              async function main() {
                const list = await openai.fineTuning.list_events(id="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": 1721764800,
                  "level": "info",
                  "message": "Fine tuning job successfully completed",
                  "data": null,
                  "type": "message"
                },
                {
                  "object": "fine_tuning.job.event",
                  "id": "ft-event-tyiGuB72evQncpH87xe505Sv",
                  "created_at": 1721764800,
                  "level": "info",
                  "message": "New fine-tuned model created: ft:gpt-4o-mini:openai::7p4lURel",
                  "data": null,
                  "type": "message"
                }
              ],
              "has_more": true
            }
  /images/edits:
    post:
      operationId: createImageEdit
      tags:
        - Images
      summary: Creates an edited or extended image given one or more source images and
        a prompt. This endpoint only supports `gpt-image-1` and `dall-e-2`.
      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](/docs/api-reference/images/object) objects.
        examples:
          request:
            curl: >
              curl -s -D >(grep -i x-request-id >&2) \
                -o >(jq -r '.data[0].b64_json' | base64 --decode > gift-basket.png) \
                -X POST "https://api.openai.com/v1/images/edits" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -F "model=gpt-image-1" \
                -F "image[][email protected]" \
                -F "image[][email protected]" \
                -F "image[][email protected]" \
                -F "image[][email protected]" \
                -F 'prompt=Create a lovely gift basket with these four items in it'
            python: >
              import base64

              from openai import OpenAI

              client = OpenAI()


              prompt = """

              Generate a photorealistic image of a gift basket on a white
              background 

              labeled 'Relax & Unwind' with a ribbon and handwriting-like font, 

              containing all the items in the reference pictures.

              """


              result = client.images.edit(
                  model="gpt-image-1",
                  image=[
                      open("body-lotion.png", "rb"),
                      open("bath-bomb.png", "rb"),
                      open("incense-kit.png", "rb"),
                      open("soap.png", "rb"),
                  ],
                  prompt=prompt
              )


              image_base64 = result.data[0].b64_json

              image_bytes = base64.b64decode(image_base64)


              # Save the image to a file

              with open("gift-basket.png", "wb") as f:
                  f.write(image_bytes)
            node.js: >
              import fs from "fs";

              import OpenAI, { toFile } from "openai";


              const client = new OpenAI();


              const imageFiles = [
                  "bath-bomb.png",
                  "body-lotion.png",
                  "incense-kit.png",
                  "soap.png",
              ];


              const images = await Promise.all(
                  imageFiles.map(async (file) =>
                      await toFile(fs.createReadStream(file), null, {
                          type: "image/png",
                      })
                  ),
              );


              const rsp = await client.images.edit({
                  model: "gpt-image-1",
                  image: images,
                  prompt: "Create a lovely gift basket with these four items in it",
              });


              // Save the image to a file

              const image_base64 = rsp.data[0].b64_json;

              const image_bytes = Buffer.from(image_base64, "base64");

              fs.writeFileSync("basket.png", image_bytes);
          response: |
            {
              "created": 1713833628,
              "data": [
                {
                  "b64_json": "..."
                }
              ],
              "usage": {
                "total_tokens": 100,
                "input_tokens": 50,
                "output_tokens": 50,
                "input_tokens_details": {
                  "text_tokens": 10,
                  "image_tokens": 40
                }
              }
            }
  /images/generations:
    post:
      operationId: createImage
      tags:
        - Images
      summary: |
        Creates an image given a prompt. [Learn more](/docs/guides/images).
      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](/docs/api-reference/images/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/images/generations \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -d '{
                  "model": "gpt-image-1",
                  "prompt": "A cute baby sea otter",
                  "n": 1,
                  "size": "1024x1024"
                }'
            python: |
              import base64
              from openai import OpenAI
              client = OpenAI()

              img = client.images.generate(
                  model="gpt-image-1",
                  prompt="A cute baby sea otter",
                  n=1,
                  size="1024x1024"
              )

              image_bytes = base64.b64decode(img.data[0].b64_json)
              with open("output.png", "wb") as f:
                  f.write(image_bytes)
            node.js: |
              import OpenAI from "openai";
              import { writeFile } from "fs/promises";

              const client = new OpenAI();

              const img = await client.images.generate({
                model: "gpt-image-1",
                prompt: "A cute baby sea otter",
                n: 1,
                size: "1024x1024"
              });

              const imageBuffer = Buffer.from(img.data[0].b64_json, "base64");
              await writeFile("output.png", imageBuffer);
          response: |
            {
              "created": 1713833628,
              "data": [
                {
                  "b64_json": "..."
                }
              ],
              "usage": {
                "total_tokens": 100,
                "input_tokens": 50,
                "output_tokens": 50,
                "input_tokens_details": {
                  "text_tokens": 10,
                  "image_tokens": 40
                }
              }
            }
  /images/variations:
    post:
      operationId: createImageVariation
      tags:
        - Images
      summary: Creates a variation of a given image. This endpoint only supports
        `dall-e-2`.
      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](/docs/api-reference/images/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/images/variations \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -F image="@otter.png" \
                -F n=2 \
                -F size="1024x1024"
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              const openai = new OpenAI();

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

                console.log(image.data);
              }
              main();
            csharp: >
              using System;


              using OpenAI.Images;


              ImageClient client = new(
                  model: "dall-e-2",
                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
              );


              GeneratedImage image =
              client.GenerateImageVariation(imageFilePath: "otter.png");


              Console.WriteLine(image.ImageUri);
          response: |
            {
              "created": 1589478378,
              "data": [
                {
                  "url": "https://..."
                },
                {
                  "url": "https://..."
                }
              ]
            }
  /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](/docs/api-reference/models/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/models \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.models.list()
            node.js: |-
              import OpenAI from "openai";

              const openai = new OpenAI();

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

                for await (const model of list) {
                  console.log(model);
                }
              }
              main();
            csharp: |
              using System;

              using OpenAI.Models;

              OpenAIModelClient client = new(
                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
              );

              foreach (var model in client.GetModels().Value)
              {
                  Console.WriteLine(model.Id);
              }
          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
            example: gpt-4o-mini
          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](/docs/api-reference/models/object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/models/VAR_chat_model_id \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.models.retrieve("VAR_chat_model_id")
            node.js: |-
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const model = await openai.models.retrieve("VAR_chat_model_id");

                console.log(model);
              }

              main();
            csharp: |
              using System;
              using System.ClientModel;

              using OpenAI.Models;

                OpenAIModelClient client = new(
                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
              );

              ClientResult<OpenAIModel> model = client.GetModel("babbage-002");
              Console.WriteLine(model.Value.Id);
          response: |
            {
              "id": "VAR_chat_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-4o-mini: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.openai.com/v1/models/ft:gpt-4o-mini:acemeco:suffix:abc123 \
                -X DELETE \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            python: |
              from openai import OpenAI
              client = OpenAI()

              client.models.delete("ft:gpt-4o-mini:acemeco:suffix:abc123")
            node.js: >-
              import OpenAI from "openai";


              const openai = new OpenAI();


              async function main() {
                const model = await openai.models.del("ft:gpt-4o-mini:acemeco:suffix:abc123");

                console.log(model);
              }

              main();
            csharp: >
              using System;

              using System.ClientModel;


              using OpenAI.Models;


              OpenAIModelClient client = new(
                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
              );


              ClientResult success =
              client.DeleteModel("ft:gpt-4o-mini:acemeco:suffix:abc123");

              Console.WriteLine(success);
          response: |
            {
              "id": "ft:gpt-4o-mini:acemeco:suffix:abc123",
              "object": "model",
              "deleted": true
            }
  /moderations:
    post:
      operationId: createModeration
      tags:
        - Moderations
      summary: |
        Classifies if text and/or image inputs are potentially harmful. Learn
        more in the [moderation guide](/docs/guides/moderation).
      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](/docs/api-reference/moderations/object) object.
        examples:
          - title: Single string
            request:
              curl: |
                curl https://api.openai.com/v1/moderations \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "input": "I want to kill them."
                  }'
              python: >
                from openai import OpenAI

                client = OpenAI()


                moderation = client.moderations.create(input="I want to kill
                them.")

                print(moderation)
              node.js: >
                import OpenAI from "openai";


                const openai = new OpenAI();


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

                  console.log(moderation);
                }

                main();
              csharp: >
                using System;

                using System.ClientModel;


                using OpenAI.Moderations;


                ModerationClient client = new(
                    model: "omni-moderation-latest",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                ClientResult<ModerationResult> moderation =
                client.ClassifyText("I want to kill them.");
            response: |
              {
                "id": "modr-AB8CjOTu2jiq12hp1AQPfeqFWaORR",
                "model": "text-moderation-007",
                "results": [
                  {
                    "flagged": true,
                    "categories": {
                      "sexual": false,
                      "hate": false,
                      "harassment": true,
                      "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": 0.000011726012417057063,
                      "hate": 0.22706663608551025,
                      "harassment": 0.5215635299682617,
                      "self-harm": 2.227119921371923e-6,
                      "sexual/minors": 7.107352217872176e-8,
                      "hate/threatening": 0.023547329008579254,
                      "violence/graphic": 0.00003391829886822961,
                      "self-harm/intent": 1.646940972932498e-6,
                      "self-harm/instructions": 1.1198755256458526e-9,
                      "harassment/threatening": 0.5694745779037476,
                      "violence": 0.9971134662628174
                    }
                  }
                ]
              }
          - title: Image and text
            request:
              curl: >
                curl https://api.openai.com/v1/moderations \
                  -X POST \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "omni-moderation-latest",
                    "input": [
                      { "type": "text", "text": "...text to classify goes here..." },
                      {
                        "type": "image_url",
                        "image_url": {
                          "url": "https://example.com/image.png"
                        }
                      }
                    ]
                  }'
              python: >
                from openai import OpenAI

                client = OpenAI()


                response = client.moderations.create(
                    model="omni-moderation-latest",
                    input=[
                        {"type": "text", "text": "...text to classify goes here..."},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://example.com/image.png",
                                # can also use base64 encoded image URLs
                                # "url": "data:image/jpeg;base64,abcdefg..."
                            }
                        },
                    ],
                )


                print(response)
              node.js: >
                import OpenAI from "openai";

                const openai = new OpenAI();


                const moderation = await openai.moderations.create({
                    model: "omni-moderation-latest",
                    input: [
                        { type: "text", text: "...text to classify goes here..." },
                        {
                            type: "image_url",
                            image_url: {
                                url: "https://example.com/image.png"
                                // can also use base64 encoded image URLs
                                // url: "data:image/jpeg;base64,abcdefg..."
                            }
                        }
                    ],
                });


                console.log(moderation);
            response: |
              {
                "id": "modr-0d9740456c391e43c445bf0f010940c7",
                "model": "omni-moderation-latest",
                "results": [
                  {
                    "flagged": true,
                    "categories": {
                      "harassment": true,
                      "harassment/threatening": true,
                      "sexual": false,
                      "hate": false,
                      "hate/threatening": false,
                      "illicit": false,
                      "illicit/violent": false,
                      "self-harm/intent": false,
                      "self-harm/instructions": false,
                      "self-harm": false,
                      "sexual/minors": false,
                      "violence": true,
                      "violence/graphic": true
                    },
                    "category_scores": {
                      "harassment": 0.8189693396524255,
                      "harassment/threatening": 0.804985420696006,
                      "sexual": 1.573112165348997e-6,
                      "hate": 0.007562942636942845,
                      "hate/threatening": 0.004208854591835476,
                      "illicit": 0.030535955153511665,
                      "illicit/violent": 0.008925306722380033,
                      "self-harm/intent": 0.00023023930975076432,
                      "self-harm/instructions": 0.0002293869201073356,
                      "self-harm": 0.012598046106750154,
                      "sexual/minors": 2.212566909570261e-8,
                      "violence": 0.9999992735124786,
                      "violence/graphic": 0.843064871157054
                    },
                    "category_applied_input_types": {
                      "harassment": [
                        "text"
                      ],
                      "harassment/threatening": [
                        "text"
                      ],
                      "sexual": [
                        "text",
                        "image"
                      ],
                      "hate": [
                        "text"
                      ],
                      "hate/threatening": [
                        "text"
                      ],
                      "illicit": [
                        "text"
                      ],
                      "illicit/violent": [
                        "text"
                      ],
                      "self-harm/intent": [
                        "text",
                        "image"
                      ],
                      "self-harm/instructions": [
                        "text",
                        "image"
                      ],
                      "self-harm": [
                        "text",
                        "image"
                      ],
                      "sexual/minors": [
                        "text"
                      ],
                      "violence": [
                        "text",
                        "image"
                      ],
                      "violence/graphic": [
                        "text",
                        "image"
                      ]
                    }
                  }
                ]
              }
  /organization/admin_api_keys:
    get:
      summary: List organization API keys
      operationId: admin-api-keys-list
      description: Retrieve a paginated list of organization admin API keys.
      parameters:
        - in: query
          name: after
          required: false
          schema:
            type: string
            nullable: true
            description: Return keys with IDs that come after this ID in the pagination
              order.
        - in: query
          name: order
          required: false
          schema:
            type: string
            enum:
              - asc
              - desc
            default: asc
            description: Order results by creation time, ascending or descending.
        - in: query
          name: limit
          required: false
          schema:
            type: integer
            default: 20
            description: Maximum number of keys to return.
      responses:
        "200":
          description: A list of organization API keys.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ApiKeyList"
      x-oaiMeta:
        name: List all organization and project API keys.
        group: administration
        returns: A list of admin and project API key objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/admin_api_keys?after=key_abc&limit=20 \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
              "object": "list",
              "data": [
                {
                  "object": "organization.admin_api_key",
                  "id": "key_abc",
                  "name": "Main Admin Key",
                  "redacted_value": "sk-admin...def",
                  "created_at": 1711471533,
                  "last_used_at": 1711471534,
                  "owner": {
                    "type": "service_account",
                    "object": "organization.service_account",
                    "id": "sa_456",
                    "name": "My Service Account",
                    "created_at": 1711471533,
                    "role": "member"
                  }
                }
              ],
              "first_id": "key_abc",
              "last_id": "key_abc",
              "has_more": false
            }
    post:
      summary: Create an organization admin API key
      operationId: admin-api-keys-create
      description: Create a new admin-level API key for the organization.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
                - name
              properties:
                name:
                  type: string
                  example: New Admin Key
      responses:
        "200":
          description: The newly created admin API key.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/AdminApiKey"
      x-oaiMeta:
        name: Create admin API key
        group: administration
        returns: The created [AdminApiKey](/docs/api-reference/admin-api-keys/object)
          object.
        examples:
          request:
            curl: >
              curl -X POST https://api.openai.com/v1/organization/admin_api_keys
              \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                    "name": "New Admin Key"
                }'
          response: |
            {
              "object": "organization.admin_api_key",
              "id": "key_xyz",
              "name": "New Admin Key",
              "redacted_value": "sk-admin...xyz",
              "created_at": 1711471533,
              "last_used_at": 1711471534,
              "owner": {
                "type": "user",
                "object": "organization.user",
                "id": "user_123",
                "name": "John Doe",
                "created_at": 1711471533,
                "role": "owner"
              },
              "value": "sk-admin-1234abcd"
            }
  /organization/admin_api_keys/{key_id}:
    get:
      summary: Retrieve a single organization API key
      operationId: admin-api-keys-get
      description: Get details for a specific organization API key by its ID.
      parameters:
        - in: path
          name: key_id
          required: true
          schema:
            type: string
            description: The ID of the API key.
      responses:
        "200":
          description: Details of the requested API key.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/AdminApiKey"
      x-oaiMeta:
        name: Retrieve admin API key
        group: administration
        returns: The requested [AdminApiKey](/docs/api-reference/admin-api-keys/object)
          object.
        examples:
          request:
            curl: >
              curl https://api.openai.com/v1/organization/admin_api_keys/key_abc
              \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
              "object": "organization.admin_api_key",
              "id": "key_abc",
              "name": "Main Admin Key",
              "redacted_value": "sk-admin...xyz",
              "created_at": 1711471533,
              "last_used_at": 1711471534,
              "owner": {
                "type": "user",
                "object": "organization.user",
                "id": "user_123",
                "name": "John Doe",
                "created_at": 1711471533,
                "role": "owner"
              }
            }
    delete:
      summary: Delete an organization admin API key
      operationId: admin-api-keys-delete
      description: Delete the specified admin API key.
      parameters:
        - in: path
          name: key_id
          required: true
          schema:
            type: string
            description: The ID of the API key to be deleted.
      responses:
        "200":
          description: Confirmation that the API key was deleted.
          content:
            application/json:
              schema:
                type: object
                properties:
                  id:
                    type: string
                    example: key_abc
                  object:
                    type: string
                    example: organization.admin_api_key.deleted
                  deleted:
                    type: boolean
                    example: true
      x-oaiMeta:
        name: Delete admin API key
        group: administration
        returns: A confirmation object indicating the key was deleted.
        examples:
          request:
            curl: >
              curl -X DELETE
              https://api.openai.com/v1/organization/admin_api_keys/key_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
              "id": "key_abc",
              "object": "organization.admin_api_key.deleted",
              "deleted": true
            }
  /organization/audit_logs:
    get:
      summary: List user actions and configuration changes within this organization.
      operationId: list-audit-logs
      tags:
        - Audit Logs
      parameters:
        - name: effective_at
          in: query
          description: Return only events whose `effective_at` (Unix seconds) is in this
            range.
          required: false
          schema:
            type: object
            properties:
              gt:
                type: integer
                description: Return only events whose `effective_at` (Unix seconds) is greater
                  than this value.
              gte:
                type: integer
                description: Return only events whose `effective_at` (Unix seconds) is greater
                  than or equal to this value.
              lt:
                type: integer
                description: Return only events whose `effective_at` (Unix seconds) is less than
                  this value.
              lte:
                type: integer
                description: Return only events whose `effective_at` (Unix seconds) is less than
                  or equal to this value.
        - name: project_ids[]
          in: query
          description: Return only events for these projects.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: event_types[]
          in: query
          description: Return only events with a `type` in one of these values. For
            example, `project.created`. For all options, see the documentation
            for the [audit log object](/docs/api-reference/audit-logs/object).
          required: false
          schema:
            type: array
            items:
              $ref: "#/components/schemas/AuditLogEventType"
        - name: actor_ids[]
          in: query
          description: Return only events performed by these actors. Can be a user ID, a
            service account ID, or an api key tracking ID.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: actor_emails[]
          in: query
          description: Return only events performed by users with these emails.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: resource_ids[]
          in: query
          description: Return only events performed on these targets. For example, a
            project ID updated.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: limit
          in: query
          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: after
          in: query
          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: >
            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, starting 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: Audit logs listed successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListAuditLogsResponse"
      x-oaiMeta:
        name: List audit logs
        group: audit-logs
        returns: A list of paginated [Audit Log](/docs/api-reference/audit-logs/object)
          objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/audit_logs \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json"
          response: >
            {
                "object": "list",
                "data": [
                    {
                        "id": "audit_log-xxx_yyyymmdd",
                        "type": "project.archived",
                        "effective_at": 1722461446,
                        "actor": {
                            "type": "api_key",
                            "api_key": {
                                "type": "user",
                                "user": {
                                    "id": "user-xxx",
                                    "email": "[email protected]"
                                }
                            }
                        },
                        "project.archived": {
                            "id": "proj_abc"
                        },
                    },
                    {
                        "id": "audit_log-yyy__20240101",
                        "type": "api_key.updated",
                        "effective_at": 1720804190,
                        "actor": {
                            "type": "session",
                            "session": {
                                "user": {
                                    "id": "user-xxx",
                                    "email": "[email protected]"
                                },
                                "ip_address": "127.0.0.1",
                                "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
                                "ja3": "a497151ce4338a12c4418c44d375173e",
                                "ja4": "q13d0313h3_55b375c5d22e_c7319ce65786",
                                "ip_address_details": {
                                  "country": "US",
                                  "city": "San Francisco",
                                  "region": "California",
                                  "region_code": "CA",
                                  "asn": "1234",
                                  "latitude": "37.77490",
                                  "longitude": "-122.41940"
                                }
                            }
                        },
                        "api_key.updated": {
                            "id": "key_xxxx",
                            "data": {
                                "scopes": ["resource_2.operation_2"]
                            }
                        },
                    }
                ],
                "first_id": "audit_log-xxx__20240101",
                "last_id": "audit_log_yyy__20240101",
                "has_more": true
            }
  /organization/certificates:
    get:
      summary: List uploaded certificates for this organization.
      operationId: listOrganizationCertificates
      tags:
        - Certificates
      parameters:
        - name: limit
          in: query
          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: after
          in: query
          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.
          required: false
          schema:
            type: string
        - name: order
          in: query
          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
      responses:
        "200":
          description: Certificates listed successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListCertificatesResponse"
      x-oaiMeta:
        name: List organization certificates
        group: administration
        returns: A list of [Certificate](/docs/api-reference/certificates/object)
          objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/certificates \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY"
          response: |
            {
              "object": "list",
              "data": [
                {
                  "object": "organization.certificate",
                  "id": "cert_abc",
                  "name": "My Example Certificate",
                  "active": true,
                  "created_at": 1234567,
                  "certificate_details": {
                    "valid_at": 12345667,
                    "expires_at": 12345678
                  }
                },
              ],
              "first_id": "cert_abc",
              "last_id": "cert_abc",
              "has_more": false
            }
    post:
      summary: >
        Upload a certificate to the organization. This does **not**
        automatically activate the certificate.


        Organizations can upload up to 50 certificates.
      operationId: uploadCertificate
      tags:
        - Certificates
      requestBody:
        description: The certificate upload payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/UploadCertificateRequest"
      responses:
        "200":
          description: Certificate uploaded successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Certificate"
      x-oaiMeta:
        name: Upload certificate
        group: administration
        returns: A single [Certificate](/docs/api-reference/certificates/object) object.
        examples:
          request:
            curl: >
              curl -X POST https://api.openai.com/v1/organization/certificates \

              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \

              -H "Content-Type: application/json" \

              -d '{
                "name": "My Example Certificate",
                "certificate": "-----BEGIN CERTIFICATE-----\\nMIIDeT...\\n-----END CERTIFICATE-----"
              }'
          response: |
            {
              "object": "certificate",
              "id": "cert_abc",
              "name": "My Example Certificate",
              "created_at": 1234567,
              "certificate_details": {
                "valid_at": 12345667,
                "expires_at": 12345678
              }
            }
  /organization/certificates/activate:
    post:
      summary: >
        Activate certificates at the organization level.


        You can atomically and idempotently activate up to 10 certificates at a
        time.
      operationId: activateOrganizationCertificates
      tags:
        - Certificates
      requestBody:
        description: The certificate activation payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ToggleCertificatesRequest"
      responses:
        "200":
          description: Certificates activated successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListCertificatesResponse"
      x-oaiMeta:
        name: Activate certificates for organization
        group: administration
        returns: A list of [Certificate](/docs/api-reference/certificates/object)
          objects that were activated.
        examples:
          request:
            curl: >
              curl https://api.openai.com/v1/organization/certificates/activate
              \

              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \

              -H "Content-Type: application/json" \

              -d '{
                "data": ["cert_abc", "cert_def"]
              }'
          response: |
            {
              "object": "organization.certificate.activation",
              "data": [
                {
                  "object": "organization.certificate",
                  "id": "cert_abc",
                  "name": "My Example Certificate",
                  "active": true,
                  "created_at": 1234567,
                  "certificate_details": {
                    "valid_at": 12345667,
                    "expires_at": 12345678
                  }
                },
                {
                  "object": "organization.certificate",
                  "id": "cert_def",
                  "name": "My Example Certificate 2",
                  "active": true,
                  "created_at": 1234567,
                  "certificate_details": {
                    "valid_at": 12345667,
                    "expires_at": 12345678
                  }
                },
              ],
            }
  /organization/certificates/deactivate:
    post:
      summary: >
        Deactivate certificates at the organization level.


        You can atomically and idempotently deactivate up to 10 certificates at
        a time.
      operationId: deactivateOrganizationCertificates
      tags:
        - Certificates
      requestBody:
        description: The certificate deactivation payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ToggleCertificatesRequest"
      responses:
        "200":
          description: Certificates deactivated successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListCertificatesResponse"
      x-oaiMeta:
        name: Deactivate certificates for organization
        group: administration
        returns: A list of [Certificate](/docs/api-reference/certificates/object)
          objects that were deactivated.
        examples:
          request:
            curl: >
              curl
              https://api.openai.com/v1/organization/certificates/deactivate \

              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \

              -H "Content-Type: application/json" \

              -d '{
                "data": ["cert_abc", "cert_def"]
              }'
          response: |
            {
              "object": "organization.certificate.deactivation",
              "data": [
                {
                  "object": "organization.certificate",
                  "id": "cert_abc",
                  "name": "My Example Certificate",
                  "active": false,
                  "created_at": 1234567,
                  "certificate_details": {
                    "valid_at": 12345667,
                    "expires_at": 12345678
                  }
                },
                {
                  "object": "organization.certificate",
                  "id": "cert_def",
                  "name": "My Example Certificate 2",
                  "active": false,
                  "created_at": 1234567,
                  "certificate_details": {
                    "valid_at": 12345667,
                    "expires_at": 12345678
                  }
                },
              ],
            }
  /organization/certificates/{certificate_id}:
    get:
      summary: |
        Get a certificate that has been uploaded to the organization.

        You can get a certificate regardless of whether it is active or not.
      operationId: getCertificate
      tags:
        - Certificates
      parameters:
        - name: cert_id
          in: path
          description: Unique ID of the certificate to retrieve.
          required: true
          schema:
            type: string
        - name: include
          in: query
          description: A list of additional fields to include in the response. Currently
            the only supported value is `content` to fetch the PEM content of
            the certificate.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - content
      responses:
        "200":
          description: Certificate retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Certificate"
      x-oaiMeta:
        name: Get certificate
        group: administration
        returns: A single [Certificate](/docs/api-reference/certificates/object) object.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/organization/certificates/cert_abc?include[]=content" \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY"
          response: >
            {
              "object": "certificate",
              "id": "cert_abc",
              "name": "My Example Certificate",
              "created_at": 1234567,
              "certificate_details": {
                "valid_at": 1234567,
                "expires_at": 12345678,
                "content": "-----BEGIN CERTIFICATE-----MIIDeT...-----END CERTIFICATE-----"
              }
            }
    post:
      summary: |
        Modify a certificate. Note that only the name can be modified.
      operationId: modifyCertificate
      tags:
        - Certificates
      requestBody:
        description: The certificate modification payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ModifyCertificateRequest"
      responses:
        "200":
          description: Certificate modified successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Certificate"
      x-oaiMeta:
        name: Modify certificate
        group: administration
        returns: The updated [Certificate](/docs/api-reference/certificates/object)
          object.
        examples:
          request:
            curl: >
              curl -X POST
              https://api.openai.com/v1/organization/certificates/cert_abc \

              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \

              -H "Content-Type: application/json" \

              -d '{
                "name": "Renamed Certificate"
              }'
          response: |
            {
              "object": "certificate",
              "id": "cert_abc",
              "name": "Renamed Certificate",
              "created_at": 1234567,
              "certificate_details": {
                "valid_at": 12345667,
                "expires_at": 12345678
              }
            }
    delete:
      summary: |
        Delete a certificate from the organization.

        The certificate must be inactive for the organization and all projects.
      operationId: deleteCertificate
      tags:
        - Certificates
      responses:
        "200":
          description: Certificate deleted successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/DeleteCertificateResponse"
      x-oaiMeta:
        name: Delete certificate
        group: administration
        returns: A confirmation object indicating the certificate was deleted.
        examples:
          request:
            curl: >
              curl -X DELETE
              https://api.openai.com/v1/organization/certificates/cert_abc \

              -H "Authorization: Bearer $OPENAI_ADMIN_KEY"
          response: |
            {
              "object": "certificate.deleted",
              "id": "cert_abc"
            }
  /organization/costs:
    get:
      summary: Get costs details for the organization.
      operationId: usage-costs
      tags:
        - Usage
      parameters:
        - name: start_time
          in: query
          description: Start time (Unix seconds) of the query time range, inclusive.
          required: true
          schema:
            type: integer
        - name: end_time
          in: query
          description: End time (Unix seconds) of the query time range, exclusive.
          required: false
          schema:
            type: integer
        - name: bucket_width
          in: query
          description: Width of each time bucket in response. Currently only `1d` is
            supported, default to `1d`.
          required: false
          schema:
            type: string
            enum:
              - 1d
            default: 1d
        - name: project_ids
          in: query
          description: Return only costs for these projects.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: group_by
          in: query
          description: Group the costs by the specified fields. Support fields include
            `project_id`, `line_item` and any combination of them.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - project_id
                - line_item
        - name: limit
          in: query
          description: >
            A limit on the number of buckets to be returned. Limit can range
            between 1 and 180, and the default is 7.
          required: false
          schema:
            type: integer
            default: 7
        - name: page
          in: query
          description: A cursor for use in pagination. Corresponding to the `next_page`
            field from the previous response.
          schema:
            type: string
      responses:
        "200":
          description: Costs data retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UsageResponse"
      x-oaiMeta:
        name: Costs
        group: usage-costs
        returns: A list of paginated, time bucketed
          [Costs](/docs/api-reference/usage/costs_object) objects.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/organization/costs?start_time=1730419200&limit=1" \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json"
          response: |
            {
                "object": "page",
                "data": [
                    {
                        "object": "bucket",
                        "start_time": 1730419200,
                        "end_time": 1730505600,
                        "results": [
                            {
                                "object": "organization.costs.result",
                                "amount": {
                                    "value": 0.06,
                                    "currency": "usd"
                                },
                                "line_item": null,
                                "project_id": null
                            }
                        ]
                    }
                ],
                "has_more": false,
                "next_page": null
            }
  /organization/invites:
    get:
      summary: Returns a list of invites in the organization.
      operationId: list-invites
      tags:
        - Invites
      parameters:
        - name: limit
          in: query
          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: after
          in: query
          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.
          required: false
          schema:
            type: string
      responses:
        "200":
          description: Invites listed successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/InviteListResponse"
      x-oaiMeta:
        name: List invites
        group: administration
        returns: A list of [Invite](/docs/api-reference/invite/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/invites?after=invite-abc&limit=20 \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
              "object": "list",
              "data": [
                {
                  "object": "organization.invite",
                  "id": "invite-abc",
                  "email": "[email protected]",
                  "role": "owner",
                  "status": "accepted",
                  "invited_at": 1711471533,
                  "expires_at": 1711471533,
                  "accepted_at": 1711471533
                }
              ],
              "first_id": "invite-abc",
              "last_id": "invite-abc",
              "has_more": false
            }
    post:
      summary: Create an invite for a user to the organization. The invite must be
        accepted by the user before they have access to the organization.
      operationId: inviteUser
      tags:
        - Invites
      requestBody:
        description: The invite request payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/InviteRequest"
      responses:
        "200":
          description: User invited successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Invite"
      x-oaiMeta:
        name: Create invite
        group: administration
        returns: The created [Invite](/docs/api-reference/invite/object) object.
        examples:
          request:
            curl: |
              curl -X POST https://api.openai.com/v1/organization/invites \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                    "email": "[email protected]",
                    "role": "reader",
                    "projects": [
                      {
                        "id": "project-xyz",
                        "role": "member"
                      },
                      {
                        "id": "project-abc",
                        "role": "owner"
                      }
                    ]
                }'
          response: |
            {
              "object": "organization.invite",
              "id": "invite-def",
              "email": "[email protected]",
              "role": "reader",
              "status": "pending",
              "invited_at": 1711471533,
              "expires_at": 1711471533,
              "accepted_at": null,
              "projects": [
                {
                  "id": "project-xyz",
                  "role": "member"
                },
                {
                  "id": "project-abc",
                  "role": "owner"
                }
              ]
            }
  /organization/invites/{invite_id}:
    get:
      summary: Retrieves an invite.
      operationId: retrieve-invite
      tags:
        - Invites
      parameters:
        - in: path
          name: invite_id
          required: true
          schema:
            type: string
          description: The ID of the invite to retrieve.
      responses:
        "200":
          description: Invite retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Invite"
      x-oaiMeta:
        name: Retrieve invite
        group: administration
        returns: The [Invite](/docs/api-reference/invite/object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/invites/invite-abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "organization.invite",
                "id": "invite-abc",
                "email": "[email protected]",
                "role": "owner",
                "status": "accepted",
                "invited_at": 1711471533,
                "expires_at": 1711471533,
                "accepted_at": 1711471533
            }
    delete:
      summary: Delete an invite. If the invite has already been accepted, it cannot be
        deleted.
      operationId: delete-invite
      tags:
        - Invites
      parameters:
        - in: path
          name: invite_id
          required: true
          schema:
            type: string
          description: The ID of the invite to delete.
      responses:
        "200":
          description: Invite deleted successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/InviteDeleteResponse"
      x-oaiMeta:
        name: Delete invite
        group: administration
        returns: Confirmation that the invite has been deleted
        examples:
          request:
            curl: >
              curl -X DELETE
              https://api.openai.com/v1/organization/invites/invite-abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "organization.invite.deleted",
                "id": "invite-abc",
                "deleted": true
            }
  /organization/projects:
    get:
      summary: Returns a list of projects.
      operationId: list-projects
      tags:
        - Projects
      parameters:
        - name: limit
          in: query
          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: after
          in: query
          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.
          required: false
          schema:
            type: string
        - name: include_archived
          in: query
          schema:
            type: boolean
            default: false
          description: If `true` returns all projects including those that have been
            `archived`. Archived projects are not included by default.
      responses:
        "200":
          description: Projects listed successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectListResponse"
      x-oaiMeta:
        name: List projects
        group: administration
        returns: A list of [Project](/docs/api-reference/projects/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects?after=proj_abc&limit=20&include_archived=false \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "list",
                "data": [
                    {
                        "id": "proj_abc",
                        "object": "organization.project",
                        "name": "Project example",
                        "created_at": 1711471533,
                        "archived_at": null,
                        "status": "active"
                    }
                ],
                "first_id": "proj-abc",
                "last_id": "proj-xyz",
                "has_more": false
            }
    post:
      summary: Create a new project in the organization. Projects can be created and
        archived, but cannot be deleted.
      operationId: create-project
      tags:
        - Projects
      requestBody:
        description: The project create request payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ProjectCreateRequest"
      responses:
        "200":
          description: Project created successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Project"
      x-oaiMeta:
        name: Create project
        group: administration
        returns: The created [Project](/docs/api-reference/projects/object) object.
        examples:
          request:
            curl: |
              curl -X POST https://api.openai.com/v1/organization/projects \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                    "name": "Project ABC"
                }'
          response: |
            {
                "id": "proj_abc",
                "object": "organization.project",
                "name": "Project ABC",
                "created_at": 1711471533,
                "archived_at": null,
                "status": "active"
            }
  /organization/projects/{project_id}:
    get:
      summary: Retrieves a project.
      operationId: retrieve-project
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Project retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Project"
      x-oaiMeta:
        name: Retrieve project
        group: administration
        description: Retrieve a project.
        returns: The [Project](/docs/api-reference/projects/object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "id": "proj_abc",
                "object": "organization.project",
                "name": "Project example",
                "created_at": 1711471533,
                "archived_at": null,
                "status": "active"
            }
    post:
      summary: Modifies a project in the organization.
      operationId: modify-project
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
      requestBody:
        description: The project update request payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ProjectUpdateRequest"
      responses:
        "200":
          description: Project updated successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Project"
        "400":
          description: Error response when updating the default project.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ErrorResponse"
      x-oaiMeta:
        name: Modify project
        group: administration
        returns: The updated [Project](/docs/api-reference/projects/object) object.
        examples:
          request:
            curl: >
              curl -X POST
              https://api.openai.com/v1/organization/projects/proj_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                    "name": "Project DEF"
                }'
  /organization/projects/{project_id}/api_keys:
    get:
      summary: Returns a list of API keys in the project.
      operationId: list-project-api-keys
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: limit
          in: query
          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: after
          in: query
          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.
          required: false
          schema:
            type: string
      responses:
        "200":
          description: Project API keys listed successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectApiKeyListResponse"
      x-oaiMeta:
        name: List project API keys
        group: administration
        returns: A list of [ProjectApiKey](/docs/api-reference/project-api-keys/object)
          objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc/api_keys?after=key_abc&limit=20 \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "list",
                "data": [
                    {
                        "object": "organization.project.api_key",
                        "redacted_value": "sk-abc...def",
                        "name": "My API Key",
                        "created_at": 1711471533,
                        "last_used_at": 1711471534,
                        "id": "key_abc",
                        "owner": {
                            "type": "user",
                            "user": {
                                "object": "organization.project.user",
                                "id": "user_abc",
                                "name": "First Last",
                                "email": "[email protected]",
                                "role": "owner",
                                "added_at": 1711471533
                            }
                        }
                    }
                ],
                "first_id": "key_abc",
                "last_id": "key_xyz",
                "has_more": false
            }
  /organization/projects/{project_id}/api_keys/{key_id}:
    get:
      summary: Retrieves an API key in the project.
      operationId: retrieve-project-api-key
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: key_id
          in: path
          description: The ID of the API key.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Project API key retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectApiKey"
      x-oaiMeta:
        name: Retrieve project API key
        group: administration
        returns: The [ProjectApiKey](/docs/api-reference/project-api-keys/object) object
          matching the specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc/api_keys/key_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "organization.project.api_key",
                "redacted_value": "sk-abc...def",
                "name": "My API Key",
                "created_at": 1711471533,
                "last_used_at": 1711471534,
                "id": "key_abc",
                "owner": {
                    "type": "user",
                    "user": {
                        "object": "organization.project.user",
                        "id": "user_abc",
                        "name": "First Last",
                        "email": "[email protected]",
                        "role": "owner",
                        "added_at": 1711471533
                    }
                }
            }
    delete:
      summary: Deletes an API key from the project.
      operationId: delete-project-api-key
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: key_id
          in: path
          description: The ID of the API key.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Project API key deleted successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectApiKeyDeleteResponse"
        "400":
          description: Error response for various conditions.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ErrorResponse"
      x-oaiMeta:
        name: Delete project API key
        group: administration
        returns: Confirmation of the key's deletion or an error if the key belonged to a
          service account
        examples:
          request:
            curl: |
              curl -X DELETE https://api.openai.com/v1/organization/projects/proj_abc/api_keys/key_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "organization.project.api_key.deleted",
                "id": "key_abc",
                "deleted": true
            }
  /organization/projects/{project_id}/archive:
    post:
      summary: Archives a project in the organization. Archived projects cannot be
        used or updated.
      operationId: archive-project
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Project archived successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Project"
      x-oaiMeta:
        name: Archive project
        group: administration
        returns: The archived [Project](/docs/api-reference/projects/object) object.
        examples:
          request:
            curl: >
              curl -X POST
              https://api.openai.com/v1/organization/projects/proj_abc/archive \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "id": "proj_abc",
                "object": "organization.project",
                "name": "Project DEF",
                "created_at": 1711471533,
                "archived_at": 1711471533,
                "status": "archived"
            }
  /organization/projects/{project_id}/certificates:
    get:
      summary: List certificates for this project.
      operationId: listProjectCertificates
      tags:
        - Certificates
      parameters:
        - name: limit
          in: query
          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: after
          in: query
          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.
          required: false
          schema:
            type: string
        - name: order
          in: query
          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
      responses:
        "200":
          description: Certificates listed successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListCertificatesResponse"
      x-oaiMeta:
        name: List project certificates
        group: administration
        returns: A list of [Certificate](/docs/api-reference/certificates/object)
          objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc/certificates \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY"
          response: |
            {
              "object": "list",
              "data": [
                {
                  "object": "organization.project.certificate",
                  "id": "cert_abc",
                  "name": "My Example Certificate",
                  "active": true,
                  "created_at": 1234567,
                  "certificate_details": {
                    "valid_at": 12345667,
                    "expires_at": 12345678
                  }
                },
              ],
              "first_id": "cert_abc",
              "last_id": "cert_abc",
              "has_more": false
            }
  /organization/projects/{project_id}/certificates/activate:
    post:
      summary: >
        Activate certificates at the project level.


        You can atomically and idempotently activate up to 10 certificates at a
        time.
      operationId: activateProjectCertificates
      tags:
        - Certificates
      requestBody:
        description: The certificate activation payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ToggleCertificatesRequest"
      responses:
        "200":
          description: Certificates activated successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListCertificatesResponse"
      x-oaiMeta:
        name: Activate certificates for project
        group: administration
        returns: A list of [Certificate](/docs/api-reference/certificates/object)
          objects that were activated.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc/certificates/activate \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json" \
              -d '{
                "data": ["cert_abc", "cert_def"]
              }'
          response: |
            {
              "object": "organization.project.certificate.activation",
              "data": [
                {
                  "object": "organization.project.certificate",
                  "id": "cert_abc",
                  "name": "My Example Certificate",
                  "active": true,
                  "created_at": 1234567,
                  "certificate_details": {
                    "valid_at": 12345667,
                    "expires_at": 12345678
                  }
                },
                {
                  "object": "organization.project.certificate",
                  "id": "cert_def",
                  "name": "My Example Certificate 2",
                  "active": true,
                  "created_at": 1234567,
                  "certificate_details": {
                    "valid_at": 12345667,
                    "expires_at": 12345678
                  }
                },
              ],
            }
  /organization/projects/{project_id}/certificates/deactivate:
    post:
      summary: >
        Deactivate certificates at the project level.


        You can atomically and idempotently deactivate up to 10 certificates at
        a time.
      operationId: deactivateProjectCertificates
      tags:
        - Certificates
      requestBody:
        description: The certificate deactivation payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ToggleCertificatesRequest"
      responses:
        "200":
          description: Certificates deactivated successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListCertificatesResponse"
      x-oaiMeta:
        name: Deactivate certificates for project
        group: administration
        returns: A list of [Certificate](/docs/api-reference/certificates/object)
          objects that were deactivated.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc/certificates/deactivate \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json" \
              -d '{
                "data": ["cert_abc", "cert_def"]
              }'
          response: |
            {
              "object": "organization.project.certificate.deactivation",
              "data": [
                {
                  "object": "organization.project.certificate",
                  "id": "cert_abc",
                  "name": "My Example Certificate",
                  "active": false,
                  "created_at": 1234567,
                  "certificate_details": {
                    "valid_at": 12345667,
                    "expires_at": 12345678
                  }
                },
                {
                  "object": "organization.project.certificate",
                  "id": "cert_def",
                  "name": "My Example Certificate 2",
                  "active": false,
                  "created_at": 1234567,
                  "certificate_details": {
                    "valid_at": 12345667,
                    "expires_at": 12345678
                  }
                },
              ],
            }
  /organization/projects/{project_id}/rate_limits:
    get:
      summary: Returns the rate limits per model for a project.
      operationId: list-project-rate-limits
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: limit
          in: query
          description: |
            A limit on the number of objects to be returned. The default is 100.
          required: false
          schema:
            type: integer
            default: 100
        - name: after
          in: query
          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.
          required: false
          schema:
            type: string
        - name: before
          in: query
          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, beginning with obj_foo, your
            subsequent call can include before=obj_foo in order to fetch the
            previous page of the list.
          required: false
          schema:
            type: string
      responses:
        "200":
          description: Project rate limits listed successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectRateLimitListResponse"
      x-oaiMeta:
        name: List project rate limits
        group: administration
        returns: A list of
          [ProjectRateLimit](/docs/api-reference/project-rate-limits/object)
          objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc/rate_limits?after=rl_xxx&limit=20 \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "list",
                "data": [
                    {
                      "object": "project.rate_limit",
                      "id": "rl-ada",
                      "model": "ada",
                      "max_requests_per_1_minute": 600,
                      "max_tokens_per_1_minute": 150000,
                      "max_images_per_1_minute": 10
                    }
                ],
                "first_id": "rl-ada",
                "last_id": "rl-ada",
                "has_more": false
            }
          error_response: |
            {
                "code": 404,
                "message": "The project {project_id} was not found"
            }
  /organization/projects/{project_id}/rate_limits/{rate_limit_id}:
    post:
      summary: Updates a project rate limit.
      operationId: update-project-rate-limits
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: rate_limit_id
          in: path
          description: The ID of the rate limit.
          required: true
          schema:
            type: string
      requestBody:
        description: The project rate limit update request payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ProjectRateLimitUpdateRequest"
      responses:
        "200":
          description: Project rate limit updated successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectRateLimit"
        "400":
          description: Error response for various conditions.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ErrorResponse"
      x-oaiMeta:
        name: Modify project rate limit
        group: administration
        returns: The updated
          [ProjectRateLimit](/docs/api-reference/project-rate-limits/object)
          object.
        examples:
          request:
            curl: |
              curl -X POST https://api.openai.com/v1/organization/projects/proj_abc/rate_limits/rl_xxx \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                    "max_requests_per_1_minute": 500
                }'
          response: |
            {
                "object": "project.rate_limit",
                "id": "rl-ada",
                "model": "ada",
                "max_requests_per_1_minute": 600,
                "max_tokens_per_1_minute": 150000,
                "max_images_per_1_minute": 10
              }
          error_response: |
            {
                "code": 404,
                "message": "The project {project_id} was not found"
            }
  /organization/projects/{project_id}/service_accounts:
    get:
      summary: Returns a list of service accounts in the project.
      operationId: list-project-service-accounts
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: limit
          in: query
          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: after
          in: query
          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.
          required: false
          schema:
            type: string
      responses:
        "200":
          description: Project service accounts listed successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectServiceAccountListResponse"
        "400":
          description: Error response when project is archived.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ErrorResponse"
      x-oaiMeta:
        name: List project service accounts
        group: administration
        returns: A list of
          [ProjectServiceAccount](/docs/api-reference/project-service-accounts/object)
          objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc/service_accounts?after=custom_id&limit=20 \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "list",
                "data": [
                    {
                        "object": "organization.project.service_account",
                        "id": "svc_acct_abc",
                        "name": "Service Account",
                        "role": "owner",
                        "created_at": 1711471533
                    }
                ],
                "first_id": "svc_acct_abc",
                "last_id": "svc_acct_xyz",
                "has_more": false
            }
    post:
      summary: Creates a new service account in the project. This also returns an
        unredacted API key for the service account.
      operationId: create-project-service-account
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
      requestBody:
        description: The project service account create request payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ProjectServiceAccountCreateRequest"
      responses:
        "200":
          description: Project service account created successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectServiceAccountCreateResponse"
        "400":
          description: Error response when project is archived.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ErrorResponse"
      x-oaiMeta:
        name: Create project service account
        group: administration
        returns: The created
          [ProjectServiceAccount](/docs/api-reference/project-service-accounts/object)
          object.
        examples:
          request:
            curl: |
              curl -X POST https://api.openai.com/v1/organization/projects/proj_abc/service_accounts \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                    "name": "Production App"
                }'
          response: |
            {
                "object": "organization.project.service_account",
                "id": "svc_acct_abc",
                "name": "Production App",
                "role": "member",
                "created_at": 1711471533,
                "api_key": {
                    "object": "organization.project.service_account.api_key",
                    "value": "sk-abcdefghijklmnop123",
                    "name": "Secret Key",
                    "created_at": 1711471533,
                    "id": "key_abc"
                }
            }
  /organization/projects/{project_id}/service_accounts/{service_account_id}:
    get:
      summary: Retrieves a service account in the project.
      operationId: retrieve-project-service-account
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: service_account_id
          in: path
          description: The ID of the service account.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Project service account retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectServiceAccount"
      x-oaiMeta:
        name: Retrieve project service account
        group: administration
        returns: The
          [ProjectServiceAccount](/docs/api-reference/project-service-accounts/object)
          object matching the specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc/service_accounts/svc_acct_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "organization.project.service_account",
                "id": "svc_acct_abc",
                "name": "Service Account",
                "role": "owner",
                "created_at": 1711471533
            }
    delete:
      summary: Deletes a service account from the project.
      operationId: delete-project-service-account
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: service_account_id
          in: path
          description: The ID of the service account.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Project service account deleted successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectServiceAccountDeleteResponse"
      x-oaiMeta:
        name: Delete project service account
        group: administration
        returns: Confirmation of service account being deleted, or an error in case of
          an archived project, which has no service accounts
        examples:
          request:
            curl: |
              curl -X DELETE https://api.openai.com/v1/organization/projects/proj_abc/service_accounts/svc_acct_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "organization.project.service_account.deleted",
                "id": "svc_acct_abc",
                "deleted": true
            }
  /organization/projects/{project_id}/users:
    get:
      summary: Returns a list of users in the project.
      operationId: list-project-users
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: limit
          in: query
          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: after
          in: query
          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.
          required: false
          schema:
            type: string
      responses:
        "200":
          description: Project users listed successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectUserListResponse"
        "400":
          description: Error response when project is archived.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ErrorResponse"
      x-oaiMeta:
        name: List project users
        group: administration
        returns: A list of [ProjectUser](/docs/api-reference/project-users/object)
          objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc/users?after=user_abc&limit=20 \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "list",
                "data": [
                    {
                        "object": "organization.project.user",
                        "id": "user_abc",
                        "name": "First Last",
                        "email": "[email protected]",
                        "role": "owner",
                        "added_at": 1711471533
                    }
                ],
                "first_id": "user-abc",
                "last_id": "user-xyz",
                "has_more": false
            }
    post:
      summary: Adds a user to the project. Users must already be members of the
        organization to be added to a project.
      operationId: create-project-user
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
      tags:
        - Projects
      requestBody:
        description: The project user create request payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ProjectUserCreateRequest"
      responses:
        "200":
          description: User added to project successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectUser"
        "400":
          description: Error response for various conditions.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ErrorResponse"
      x-oaiMeta:
        name: Create project user
        group: administration
        returns: The created [ProjectUser](/docs/api-reference/project-users/object)
          object.
        examples:
          request:
            curl: >
              curl -X POST
              https://api.openai.com/v1/organization/projects/proj_abc/users \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                    "user_id": "user_abc",
                    "role": "member"
                }'
          response: |
            {
                "object": "organization.project.user",
                "id": "user_abc",
                "email": "[email protected]",
                "role": "owner",
                "added_at": 1711471533
            }
  /organization/projects/{project_id}/users/{user_id}:
    get:
      summary: Retrieves a user in the project.
      operationId: retrieve-project-user
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: user_id
          in: path
          description: The ID of the user.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Project user retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectUser"
      x-oaiMeta:
        name: Retrieve project user
        group: administration
        returns: The [ProjectUser](/docs/api-reference/project-users/object) object
          matching the specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/projects/proj_abc/users/user_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "organization.project.user",
                "id": "user_abc",
                "name": "First Last",
                "email": "[email protected]",
                "role": "owner",
                "added_at": 1711471533
            }
    post:
      summary: Modifies a user's role in the project.
      operationId: modify-project-user
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: user_id
          in: path
          description: The ID of the user.
          required: true
          schema:
            type: string
      requestBody:
        description: The project user update request payload.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ProjectUserUpdateRequest"
      responses:
        "200":
          description: Project user's role updated successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectUser"
        "400":
          description: Error response for various conditions.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ErrorResponse"
      x-oaiMeta:
        name: Modify project user
        group: administration
        returns: The updated [ProjectUser](/docs/api-reference/project-users/object)
          object.
        examples:
          request:
            curl: |
              curl -X POST https://api.openai.com/v1/organization/projects/proj_abc/users/user_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                    "role": "owner"
                }'
          response: |
            {
                "object": "organization.project.user",
                "id": "user_abc",
                "name": "First Last",
                "email": "[email protected]",
                "role": "owner",
                "added_at": 1711471533
            }
    delete:
      summary: Deletes a user from the project.
      operationId: delete-project-user
      tags:
        - Projects
      parameters:
        - name: project_id
          in: path
          description: The ID of the project.
          required: true
          schema:
            type: string
        - name: user_id
          in: path
          description: The ID of the user.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Project user deleted successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ProjectUserDeleteResponse"
        "400":
          description: Error response for various conditions.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ErrorResponse"
      x-oaiMeta:
        name: Delete project user
        group: administration
        returns: Confirmation that project has been deleted or an error in case of an
          archived project, which has no users
        examples:
          request:
            curl: |
              curl -X DELETE https://api.openai.com/v1/organization/projects/proj_abc/users/user_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "organization.project.user.deleted",
                "id": "user_abc",
                "deleted": true
            }
  /organization/usage/audio_speeches:
    get:
      summary: Get audio speeches usage details for the organization.
      operationId: usage-audio-speeches
      tags:
        - Usage
      parameters:
        - name: start_time
          in: query
          description: Start time (Unix seconds) of the query time range, inclusive.
          required: true
          schema:
            type: integer
        - name: end_time
          in: query
          description: End time (Unix seconds) of the query time range, exclusive.
          required: false
          schema:
            type: integer
        - name: bucket_width
          in: query
          description: Width of each time bucket in response. Currently `1m`, `1h` and
            `1d` are supported, default to `1d`.
          required: false
          schema:
            type: string
            enum:
              - 1m
              - 1h
              - 1d
            default: 1d
        - name: project_ids
          in: query
          description: Return only usage for these projects.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: user_ids
          in: query
          description: Return only usage for these users.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: api_key_ids
          in: query
          description: Return only usage for these API keys.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: models
          in: query
          description: Return only usage for these models.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: group_by
          in: query
          description: Group the usage data by the specified fields. Support fields
            include `project_id`, `user_id`, `api_key_id`, `model` or any
            combination of them.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - project_id
                - user_id
                - api_key_id
                - model
        - name: limit
          in: query
          description: |
            Specifies the number of buckets to return.
            - `bucket_width=1d`: default: 7, max: 31
            - `bucket_width=1h`: default: 24, max: 168
            - `bucket_width=1m`: default: 60, max: 1440
          required: false
          schema:
            type: integer
        - name: page
          in: query
          description: A cursor for use in pagination. Corresponding to the `next_page`
            field from the previous response.
          schema:
            type: string
      responses:
        "200":
          description: Usage data retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UsageResponse"
      x-oaiMeta:
        name: Audio speeches
        group: usage-audio-speeches
        returns: A list of paginated, time bucketed [Audio speeches
          usage](/docs/api-reference/usage/audio_speeches_object) objects.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/organization/usage/audio_speeches?start_time=1730419200&limit=1" \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json"
          response: >
            {
                "object": "page",
                "data": [
                    {
                        "object": "bucket",
                        "start_time": 1730419200,
                        "end_time": 1730505600,
                        "results": [
                            {
                                "object": "organization.usage.audio_speeches.result",
                                "characters": 45,
                                "num_model_requests": 1,
                                "project_id": null,
                                "user_id": null,
                                "api_key_id": null,
                                "model": null
                            }
                        ]
                    }
                ],
                "has_more": false,
                "next_page": null
            }
  /organization/usage/audio_transcriptions:
    get:
      summary: Get audio transcriptions usage details for the organization.
      operationId: usage-audio-transcriptions
      tags:
        - Usage
      parameters:
        - name: start_time
          in: query
          description: Start time (Unix seconds) of the query time range, inclusive.
          required: true
          schema:
            type: integer
        - name: end_time
          in: query
          description: End time (Unix seconds) of the query time range, exclusive.
          required: false
          schema:
            type: integer
        - name: bucket_width
          in: query
          description: Width of each time bucket in response. Currently `1m`, `1h` and
            `1d` are supported, default to `1d`.
          required: false
          schema:
            type: string
            enum:
              - 1m
              - 1h
              - 1d
            default: 1d
        - name: project_ids
          in: query
          description: Return only usage for these projects.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: user_ids
          in: query
          description: Return only usage for these users.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: api_key_ids
          in: query
          description: Return only usage for these API keys.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: models
          in: query
          description: Return only usage for these models.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: group_by
          in: query
          description: Group the usage data by the specified fields. Support fields
            include `project_id`, `user_id`, `api_key_id`, `model` or any
            combination of them.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - project_id
                - user_id
                - api_key_id
                - model
        - name: limit
          in: query
          description: |
            Specifies the number of buckets to return.
            - `bucket_width=1d`: default: 7, max: 31
            - `bucket_width=1h`: default: 24, max: 168
            - `bucket_width=1m`: default: 60, max: 1440
          required: false
          schema:
            type: integer
        - name: page
          in: query
          description: A cursor for use in pagination. Corresponding to the `next_page`
            field from the previous response.
          schema:
            type: string
      responses:
        "200":
          description: Usage data retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UsageResponse"
      x-oaiMeta:
        name: Audio transcriptions
        group: usage-audio-transcriptions
        returns: A list of paginated, time bucketed [Audio transcriptions
          usage](/docs/api-reference/usage/audio_transcriptions_object) objects.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/organization/usage/audio_transcriptions?start_time=1730419200&limit=1" \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json"
          response: >
            {
                "object": "page",
                "data": [
                    {
                        "object": "bucket",
                        "start_time": 1730419200,
                        "end_time": 1730505600,
                        "results": [
                            {
                                "object": "organization.usage.audio_transcriptions.result",
                                "seconds": 20,
                                "num_model_requests": 1,
                                "project_id": null,
                                "user_id": null,
                                "api_key_id": null,
                                "model": null
                            }
                        ]
                    }
                ],
                "has_more": false,
                "next_page": null
            }
  /organization/usage/code_interpreter_sessions:
    get:
      summary: Get code interpreter sessions usage details for the organization.
      operationId: usage-code-interpreter-sessions
      tags:
        - Usage
      parameters:
        - name: start_time
          in: query
          description: Start time (Unix seconds) of the query time range, inclusive.
          required: true
          schema:
            type: integer
        - name: end_time
          in: query
          description: End time (Unix seconds) of the query time range, exclusive.
          required: false
          schema:
            type: integer
        - name: bucket_width
          in: query
          description: Width of each time bucket in response. Currently `1m`, `1h` and
            `1d` are supported, default to `1d`.
          required: false
          schema:
            type: string
            enum:
              - 1m
              - 1h
              - 1d
            default: 1d
        - name: project_ids
          in: query
          description: Return only usage for these projects.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: group_by
          in: query
          description: Group the usage data by the specified fields. Support fields
            include `project_id`.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - project_id
        - name: limit
          in: query
          description: |
            Specifies the number of buckets to return.
            - `bucket_width=1d`: default: 7, max: 31
            - `bucket_width=1h`: default: 24, max: 168
            - `bucket_width=1m`: default: 60, max: 1440
          required: false
          schema:
            type: integer
        - name: page
          in: query
          description: A cursor for use in pagination. Corresponding to the `next_page`
            field from the previous response.
          schema:
            type: string
      responses:
        "200":
          description: Usage data retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UsageResponse"
      x-oaiMeta:
        name: Code interpreter sessions
        group: usage-code-interpreter-sessions
        returns: A list of paginated, time bucketed [Code interpreter sessions
          usage](/docs/api-reference/usage/code_interpreter_sessions_object)
          objects.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/organization/usage/code_interpreter_sessions?start_time=1730419200&limit=1" \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json"
          response: >
            {
                "object": "page",
                "data": [
                    {
                        "object": "bucket",
                        "start_time": 1730419200,
                        "end_time": 1730505600,
                        "results": [
                            {
                                "object": "organization.usage.code_interpreter_sessions.result",
                                "num_sessions": 1,
                                "project_id": null
                            }
                        ]
                    }
                ],
                "has_more": false,
                "next_page": null
            }
  /organization/usage/completions:
    get:
      summary: Get completions usage details for the organization.
      operationId: usage-completions
      tags:
        - Usage
      parameters:
        - name: start_time
          in: query
          description: Start time (Unix seconds) of the query time range, inclusive.
          required: true
          schema:
            type: integer
        - name: end_time
          in: query
          description: End time (Unix seconds) of the query time range, exclusive.
          required: false
          schema:
            type: integer
        - name: bucket_width
          in: query
          description: Width of each time bucket in response. Currently `1m`, `1h` and
            `1d` are supported, default to `1d`.
          required: false
          schema:
            type: string
            enum:
              - 1m
              - 1h
              - 1d
            default: 1d
        - name: project_ids
          in: query
          description: Return only usage for these projects.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: user_ids
          in: query
          description: Return only usage for these users.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: api_key_ids
          in: query
          description: Return only usage for these API keys.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: models
          in: query
          description: Return only usage for these models.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: batch
          in: query
          description: >
            If `true`, return batch jobs only. If `false`, return non-batch jobs
            only. By default, return both.
          required: false
          schema:
            type: boolean
        - name: group_by
          in: query
          description: Group the usage data by the specified fields. Support fields
            include `project_id`, `user_id`, `api_key_id`, `model`, `batch` or
            any combination of them.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - project_id
                - user_id
                - api_key_id
                - model
                - batch
        - name: limit
          in: query
          description: |
            Specifies the number of buckets to return.
            - `bucket_width=1d`: default: 7, max: 31
            - `bucket_width=1h`: default: 24, max: 168
            - `bucket_width=1m`: default: 60, max: 1440
          required: false
          schema:
            type: integer
        - name: page
          in: query
          description: A cursor for use in pagination. Corresponding to the `next_page`
            field from the previous response.
          schema:
            type: string
      responses:
        "200":
          description: Usage data retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UsageResponse"
      x-oaiMeta:
        name: Completions
        group: usage-completions
        returns: A list of paginated, time bucketed [Completions
          usage](/docs/api-reference/usage/completions_object) objects.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/organization/usage/completions?start_time=1730419200&limit=1" \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json"
          response: >
            {
                "object": "page",
                "data": [
                    {
                        "object": "bucket",
                        "start_time": 1730419200,
                        "end_time": 1730505600,
                        "results": [
                            {
                                "object": "organization.usage.completions.result",
                                "input_tokens": 1000,
                                "output_tokens": 500,
                                "input_cached_tokens": 800,
                                "input_audio_tokens": 0,
                                "output_audio_tokens": 0,
                                "num_model_requests": 5,
                                "project_id": null,
                                "user_id": null,
                                "api_key_id": null,
                                "model": null,
                                "batch": null
                            }
                        ]
                    }
                ],
                "has_more": true,
                "next_page": "page_AAAAAGdGxdEiJdKOAAAAAGcqsYA="
            }
  /organization/usage/embeddings:
    get:
      summary: Get embeddings usage details for the organization.
      operationId: usage-embeddings
      tags:
        - Usage
      parameters:
        - name: start_time
          in: query
          description: Start time (Unix seconds) of the query time range, inclusive.
          required: true
          schema:
            type: integer
        - name: end_time
          in: query
          description: End time (Unix seconds) of the query time range, exclusive.
          required: false
          schema:
            type: integer
        - name: bucket_width
          in: query
          description: Width of each time bucket in response. Currently `1m`, `1h` and
            `1d` are supported, default to `1d`.
          required: false
          schema:
            type: string
            enum:
              - 1m
              - 1h
              - 1d
            default: 1d
        - name: project_ids
          in: query
          description: Return only usage for these projects.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: user_ids
          in: query
          description: Return only usage for these users.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: api_key_ids
          in: query
          description: Return only usage for these API keys.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: models
          in: query
          description: Return only usage for these models.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: group_by
          in: query
          description: Group the usage data by the specified fields. Support fields
            include `project_id`, `user_id`, `api_key_id`, `model` or any
            combination of them.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - project_id
                - user_id
                - api_key_id
                - model
        - name: limit
          in: query
          description: |
            Specifies the number of buckets to return.
            - `bucket_width=1d`: default: 7, max: 31
            - `bucket_width=1h`: default: 24, max: 168
            - `bucket_width=1m`: default: 60, max: 1440
          required: false
          schema:
            type: integer
        - name: page
          in: query
          description: A cursor for use in pagination. Corresponding to the `next_page`
            field from the previous response.
          schema:
            type: string
      responses:
        "200":
          description: Usage data retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UsageResponse"
      x-oaiMeta:
        name: Embeddings
        group: usage-embeddings
        returns: A list of paginated, time bucketed [Embeddings
          usage](/docs/api-reference/usage/embeddings_object) objects.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/organization/usage/embeddings?start_time=1730419200&limit=1" \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json"
          response: >
            {
                "object": "page",
                "data": [
                    {
                        "object": "bucket",
                        "start_time": 1730419200,
                        "end_time": 1730505600,
                        "results": [
                            {
                                "object": "organization.usage.embeddings.result",
                                "input_tokens": 16,
                                "num_model_requests": 2,
                                "project_id": null,
                                "user_id": null,
                                "api_key_id": null,
                                "model": null
                            }
                        ]
                    }
                ],
                "has_more": false,
                "next_page": null
            }
  /organization/usage/images:
    get:
      summary: Get images usage details for the organization.
      operationId: usage-images
      tags:
        - Usage
      parameters:
        - name: start_time
          in: query
          description: Start time (Unix seconds) of the query time range, inclusive.
          required: true
          schema:
            type: integer
        - name: end_time
          in: query
          description: End time (Unix seconds) of the query time range, exclusive.
          required: false
          schema:
            type: integer
        - name: bucket_width
          in: query
          description: Width of each time bucket in response. Currently `1m`, `1h` and
            `1d` are supported, default to `1d`.
          required: false
          schema:
            type: string
            enum:
              - 1m
              - 1h
              - 1d
            default: 1d
        - name: sources
          in: query
          description: Return only usages for these sources. Possible values are
            `image.generation`, `image.edit`, `image.variation` or any
            combination of them.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - image.generation
                - image.edit
                - image.variation
        - name: sizes
          in: query
          description: Return only usages for these image sizes. Possible values are
            `256x256`, `512x512`, `1024x1024`, `1792x1792`, `1024x1792` or any
            combination of them.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - 256x256
                - 512x512
                - 1024x1024
                - 1792x1792
                - 1024x1792
        - name: project_ids
          in: query
          description: Return only usage for these projects.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: user_ids
          in: query
          description: Return only usage for these users.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: api_key_ids
          in: query
          description: Return only usage for these API keys.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: models
          in: query
          description: Return only usage for these models.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: group_by
          in: query
          description: Group the usage data by the specified fields. Support fields
            include `project_id`, `user_id`, `api_key_id`, `model`, `size`,
            `source` or any combination of them.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - project_id
                - user_id
                - api_key_id
                - model
                - size
                - source
        - name: limit
          in: query
          description: |
            Specifies the number of buckets to return.
            - `bucket_width=1d`: default: 7, max: 31
            - `bucket_width=1h`: default: 24, max: 168
            - `bucket_width=1m`: default: 60, max: 1440
          required: false
          schema:
            type: integer
        - name: page
          in: query
          description: A cursor for use in pagination. Corresponding to the `next_page`
            field from the previous response.
          schema:
            type: string
      responses:
        "200":
          description: Usage data retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UsageResponse"
      x-oaiMeta:
        name: Images
        group: usage-images
        returns: A list of paginated, time bucketed [Images
          usage](/docs/api-reference/usage/images_object) objects.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/organization/usage/images?start_time=1730419200&limit=1" \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json"
          response: |
            {
                "object": "page",
                "data": [
                    {
                        "object": "bucket",
                        "start_time": 1730419200,
                        "end_time": 1730505600,
                        "results": [
                            {
                                "object": "organization.usage.images.result",
                                "images": 2,
                                "num_model_requests": 2,
                                "size": null,
                                "source": null,
                                "project_id": null,
                                "user_id": null,
                                "api_key_id": null,
                                "model": null
                            }
                        ]
                    }
                ],
                "has_more": false,
                "next_page": null
            }
  /organization/usage/moderations:
    get:
      summary: Get moderations usage details for the organization.
      operationId: usage-moderations
      tags:
        - Usage
      parameters:
        - name: start_time
          in: query
          description: Start time (Unix seconds) of the query time range, inclusive.
          required: true
          schema:
            type: integer
        - name: end_time
          in: query
          description: End time (Unix seconds) of the query time range, exclusive.
          required: false
          schema:
            type: integer
        - name: bucket_width
          in: query
          description: Width of each time bucket in response. Currently `1m`, `1h` and
            `1d` are supported, default to `1d`.
          required: false
          schema:
            type: string
            enum:
              - 1m
              - 1h
              - 1d
            default: 1d
        - name: project_ids
          in: query
          description: Return only usage for these projects.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: user_ids
          in: query
          description: Return only usage for these users.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: api_key_ids
          in: query
          description: Return only usage for these API keys.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: models
          in: query
          description: Return only usage for these models.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: group_by
          in: query
          description: Group the usage data by the specified fields. Support fields
            include `project_id`, `user_id`, `api_key_id`, `model` or any
            combination of them.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - project_id
                - user_id
                - api_key_id
                - model
        - name: limit
          in: query
          description: |
            Specifies the number of buckets to return.
            - `bucket_width=1d`: default: 7, max: 31
            - `bucket_width=1h`: default: 24, max: 168
            - `bucket_width=1m`: default: 60, max: 1440
          required: false
          schema:
            type: integer
        - name: page
          in: query
          description: A cursor for use in pagination. Corresponding to the `next_page`
            field from the previous response.
          schema:
            type: string
      responses:
        "200":
          description: Usage data retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UsageResponse"
      x-oaiMeta:
        name: Moderations
        group: usage-moderations
        returns: A list of paginated, time bucketed [Moderations
          usage](/docs/api-reference/usage/moderations_object) objects.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/organization/usage/moderations?start_time=1730419200&limit=1" \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json"
          response: >
            {
                "object": "page",
                "data": [
                    {
                        "object": "bucket",
                        "start_time": 1730419200,
                        "end_time": 1730505600,
                        "results": [
                            {
                                "object": "organization.usage.moderations.result",
                                "input_tokens": 16,
                                "num_model_requests": 2,
                                "project_id": null,
                                "user_id": null,
                                "api_key_id": null,
                                "model": null
                            }
                        ]
                    }
                ],
                "has_more": false,
                "next_page": null
            }
  /organization/usage/vector_stores:
    get:
      summary: Get vector stores usage details for the organization.
      operationId: usage-vector-stores
      tags:
        - Usage
      parameters:
        - name: start_time
          in: query
          description: Start time (Unix seconds) of the query time range, inclusive.
          required: true
          schema:
            type: integer
        - name: end_time
          in: query
          description: End time (Unix seconds) of the query time range, exclusive.
          required: false
          schema:
            type: integer
        - name: bucket_width
          in: query
          description: Width of each time bucket in response. Currently `1m`, `1h` and
            `1d` are supported, default to `1d`.
          required: false
          schema:
            type: string
            enum:
              - 1m
              - 1h
              - 1d
            default: 1d
        - name: project_ids
          in: query
          description: Return only usage for these projects.
          required: false
          schema:
            type: array
            items:
              type: string
        - name: group_by
          in: query
          description: Group the usage data by the specified fields. Support fields
            include `project_id`.
          required: false
          schema:
            type: array
            items:
              type: string
              enum:
                - project_id
        - name: limit
          in: query
          description: |
            Specifies the number of buckets to return.
            - `bucket_width=1d`: default: 7, max: 31
            - `bucket_width=1h`: default: 24, max: 168
            - `bucket_width=1m`: default: 60, max: 1440
          required: false
          schema:
            type: integer
        - name: page
          in: query
          description: A cursor for use in pagination. Corresponding to the `next_page`
            field from the previous response.
          schema:
            type: string
      responses:
        "200":
          description: Usage data retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UsageResponse"
      x-oaiMeta:
        name: Vector stores
        group: usage-vector-stores
        returns: A list of paginated, time bucketed [Vector stores
          usage](/docs/api-reference/usage/vector_stores_object) objects.
        examples:
          request:
            curl: |
              curl "https://api.openai.com/v1/organization/usage/vector_stores?start_time=1730419200&limit=1" \
              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
              -H "Content-Type: application/json"
          response: >
            {
                "object": "page",
                "data": [
                    {
                        "object": "bucket",
                        "start_time": 1730419200,
                        "end_time": 1730505600,
                        "results": [
                            {
                                "object": "organization.usage.vector_stores.result",
                                "usage_bytes": 1024,
                                "project_id": null
                            }
                        ]
                    }
                ],
                "has_more": false,
                "next_page": null
            }
  /organization/users:
    get:
      summary: Lists all of the users in the organization.
      operationId: list-users
      tags:
        - Users
      parameters:
        - name: limit
          in: query
          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: after
          in: query
          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.
          required: false
          schema:
            type: string
        - name: emails
          in: query
          description: Filter by the email address of users.
          required: false
          schema:
            type: array
            items:
              type: string
      responses:
        "200":
          description: Users listed successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UserListResponse"
      x-oaiMeta:
        name: List users
        group: administration
        returns: A list of [User](/docs/api-reference/users/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/users?after=user_abc&limit=20 \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "list",
                "data": [
                    {
                        "object": "organization.user",
                        "id": "user_abc",
                        "name": "First Last",
                        "email": "[email protected]",
                        "role": "owner",
                        "added_at": 1711471533
                    }
                ],
                "first_id": "user-abc",
                "last_id": "user-xyz",
                "has_more": false
            }
  /organization/users/{user_id}:
    get:
      summary: Retrieves a user by their identifier.
      operationId: retrieve-user
      tags:
        - Users
      parameters:
        - name: user_id
          in: path
          description: The ID of the user.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: User retrieved successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/User"
      x-oaiMeta:
        name: Retrieve user
        group: administration
        returns: The [User](/docs/api-reference/users/object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/organization/users/user_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "organization.user",
                "id": "user_abc",
                "name": "First Last",
                "email": "[email protected]",
                "role": "owner",
                "added_at": 1711471533
            }
    post:
      summary: Modifies a user's role in the organization.
      operationId: modify-user
      tags:
        - Users
      parameters:
        - name: user_id
          in: path
          description: The ID of the user.
          required: true
          schema:
            type: string
      requestBody:
        description: The new user role to modify. This must be one of `owner` or `member`.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/UserRoleUpdateRequest"
      responses:
        "200":
          description: User role updated successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/User"
      x-oaiMeta:
        name: Modify user
        group: administration
        returns: The updated [User](/docs/api-reference/users/object) object.
        examples:
          request:
            curl: >
              curl -X POST https://api.openai.com/v1/organization/users/user_abc
              \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                    "role": "owner"
                }'
          response: |
            {
                "object": "organization.user",
                "id": "user_abc",
                "name": "First Last",
                "email": "[email protected]",
                "role": "owner",
                "added_at": 1711471533
            }
    delete:
      summary: Deletes a user from the organization.
      operationId: delete-user
      tags:
        - Users
      parameters:
        - name: user_id
          in: path
          description: The ID of the user.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: User deleted successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UserDeleteResponse"
      x-oaiMeta:
        name: Delete user
        group: administration
        returns: Confirmation of the deleted user
        examples:
          request:
            curl: >
              curl -X DELETE
              https://api.openai.com/v1/organization/users/user_abc \
                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
                -H "Content-Type: application/json"
          response: |
            {
                "object": "organization.user.deleted",
                "id": "user_abc",
                "deleted": true
            }
  /realtime/sessions:
    post:
      summary: >
        Create an ephemeral API token for use in client-side applications with
        the

        Realtime API. Can be configured with the same session parameters as the

        `session.update` client event.


        It responds with a session object, plus a `client_secret` key which
        contains

        a usable ephemeral API token that can be used to authenticate browser
        clients

        for the Realtime API.
      operationId: create-realtime-session
      tags:
        - Realtime
      requestBody:
        description: Create an ephemeral API key with the given session configuration.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/RealtimeSessionCreateRequest"
      responses:
        "200":
          description: Session created successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RealtimeSessionCreateResponse"
      x-oaiMeta:
        name: Create session
        group: realtime
        returns: The created Realtime session object, plus an ephemeral key
        examples:
          request:
            curl: |
              curl -X POST https://api.openai.com/v1/realtime/sessions \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -d '{
                  "model": "gpt-4o-realtime-preview",
                  "modalities": ["audio", "text"],
                  "instructions": "You are a friendly assistant."
                }'
          response: |
            {
              "id": "sess_001",
              "object": "realtime.session",
              "model": "gpt-4o-realtime-preview",
              "modalities": ["audio", "text"],
              "instructions": "You are a friendly assistant.",
              "voice": "alloy",
              "input_audio_format": "pcm16",
              "output_audio_format": "pcm16",
              "input_audio_transcription": {
                  "model": "whisper-1"
              },
              "turn_detection": null,
              "tools": [],
              "tool_choice": "none",
              "temperature": 0.7,
              "max_response_output_tokens": 200,
              "client_secret": {
                "value": "ek_abc123", 
                "expires_at": 1234567890
              }
            }
  /realtime/transcription_sessions:
    post:
      summary: >
        Create an ephemeral API token for use in client-side applications with
        the

        Realtime API specifically for realtime transcriptions. 

        Can be configured with the same session parameters as the
        `transcription_session.update` client event.


        It responds with a session object, plus a `client_secret` key which
        contains

        a usable ephemeral API token that can be used to authenticate browser
        clients

        for the Realtime API.
      operationId: create-realtime-transcription-session
      tags:
        - Realtime
      requestBody:
        description: Create an ephemeral API key with the given session configuration.
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/RealtimeTranscriptionSessionCreateRequest"
      responses:
        "200":
          description: Session created successfully.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RealtimeTranscriptionSessionCreateResponse"
      x-oaiMeta:
        name: Create transcription session
        group: realtime
        returns: The created [Realtime transcription session
          object](/docs/api-reference/realtime-sessions/transcription_session_object),
          plus an ephemeral key
        examples:
          request:
            curl: >
              curl -X POST
              https://api.openai.com/v1/realtime/transcription_sessions \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -d '{}'
          response: |
            {
              "id": "sess_BBwZc7cFV3XizEyKGDCGL",
              "object": "realtime.transcription_session",
              "modalities": ["audio", "text"],
              "turn_detection": {
                "type": "server_vad",
                "threshold": 0.5,
                "prefix_padding_ms": 300,
                "silence_duration_ms": 200
              },
              "input_audio_format": "pcm16",
              "input_audio_transcription": {
                "model": "gpt-4o-transcribe",
                "language": null,
                "prompt": ""
              },
              "client_secret": null
            }
  /responses:
    post:
      operationId: createResponse
      tags:
        - Responses
      summary: >
        Creates a model response. Provide [text](/docs/guides/text) or

        [image](/docs/guides/images) inputs to generate
        [text](/docs/guides/text)

        or [JSON](/docs/guides/structured-outputs) outputs. Have the model call

        your own [custom code](/docs/guides/function-calling) or use built-in

        [tools](/docs/guides/tools) like [web
        search](/docs/guides/tools-web-search)

        or [file search](/docs/guides/tools-file-search) to use your own data

        as input for the model's response.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateResponse"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Response"
            text/event-stream:
              schema:
                $ref: "#/components/schemas/ResponseStreamEvent"
      x-oaiMeta:
        name: Create a model response
        group: responses
        returns: |
          Returns a [Response](/docs/api-reference/responses/object) object.
        path: create
        examples:
          - title: Text input
            request:
              curl: >
                curl https://api.openai.com/v1/responses \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "gpt-4.1",
                    "input": "Tell me a three sentence bedtime story about a unicorn."
                  }'
              javascript: >
                import OpenAI from "openai";


                const openai = new OpenAI();


                const response = await openai.responses.create({
                    model: "gpt-4.1",
                    input: "Tell me a three sentence bedtime story about a unicorn."
                });


                console.log(response);
              python: >
                from openai import OpenAI


                client = OpenAI()


                response = client.responses.create(
                  model="gpt-4.1",
                  input="Tell me a three sentence bedtime story about a unicorn."
                )


                print(response)
              csharp: >
                using System;

                using OpenAI.Responses;


                OpenAIResponseClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                OpenAIResponse response = client.CreateResponse("Tell me a three
                sentence bedtime story about a unicorn.");


                Console.WriteLine(response.GetOutputText());
            response: >
              {
                "id": "resp_67ccd2bed1ec8190b14f964abc0542670bb6a6b452d3795b",
                "object": "response",
                "created_at": 1741476542,
                "status": "completed",
                "error": null,
                "incomplete_details": null,
                "instructions": null,
                "max_output_tokens": null,
                "model": "gpt-4.1-2025-04-14",
                "output": [
                  {
                    "type": "message",
                    "id": "msg_67ccd2bf17f0819081ff3bb2cf6508e60bb6a6b452d3795b",
                    "status": "completed",
                    "role": "assistant",
                    "content": [
                      {
                        "type": "output_text",
                        "text": "In a peaceful grove beneath a silver moon, a unicorn named Lumina discovered a hidden pool that reflected the stars. As she dipped her horn into the water, the pool began to shimmer, revealing a pathway to a magical realm of endless night skies. Filled with wonder, Lumina whispered a wish for all who dream to find their own hidden magic, and as she glanced back, her hoofprints sparkled like stardust.",
                        "annotations": []
                      }
                    ]
                  }
                ],
                "parallel_tool_calls": true,
                "previous_response_id": null,
                "reasoning": {
                  "effort": null,
                  "summary": null
                },
                "store": true,
                "temperature": 1.0,
                "text": {
                  "format": {
                    "type": "text"
                  }
                },
                "tool_choice": "auto",
                "tools": [],
                "top_p": 1.0,
                "truncation": "disabled",
                "usage": {
                  "input_tokens": 36,
                  "input_tokens_details": {
                    "cached_tokens": 0
                  },
                  "output_tokens": 87,
                  "output_tokens_details": {
                    "reasoning_tokens": 0
                  },
                  "total_tokens": 123
                },
                "user": null,
                "metadata": {}
              }
          - title: Image input
            request:
              curl: >
                curl https://api.openai.com/v1/responses \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "gpt-4.1",
                    "input": [
                      {
                        "role": "user",
                        "content": [
                          {"type": "input_text", "text": "what is in this image?"},
                          {
                            "type": "input_image",
                            "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"
                          }
                        ]
                      }
                    ]
                  }'
              javascript: >
                import OpenAI from "openai";


                const openai = new OpenAI();


                const response = await openai.responses.create({
                    model: "gpt-4.1",
                    input: [
                        {
                            role: "user",
                            content: [
                                { type: "input_text", text: "what is in this image?" },
                                {
                                    type: "input_image",
                                    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);
              python: >
                from openai import OpenAI


                client = OpenAI()


                response = client.responses.create(
                    model="gpt-4.1",
                    input=[
                        {
                            "role": "user",
                            "content": [
                                { "type": "input_text", "text": "what is in this image?" },
                                {
                                    "type": "input_image",
                                    "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"
                                }
                            ]
                        }
                    ]
                )


                print(response)
              csharp: >
                using System;

                using System.Collections.Generic;


                using OpenAI.Responses;


                OpenAIResponseClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                List<ResponseItem> inputItems =

                [
                    ResponseItem.CreateUserMessageItem(
                        [
                            ResponseContentPart.CreateInputTextPart("What is in this image?"),
                            ResponseContentPart.CreateInputImagePart(new Uri("https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"))
                        ]
                    )
                ];


                OpenAIResponse response = client.CreateResponse(inputItems);


                Console.WriteLine(response.GetOutputText());
            response: >
              {
                "id": "resp_67ccd3a9da748190baa7f1570fe91ac604becb25c45c1d41",
                "object": "response",
                "created_at": 1741476777,
                "status": "completed",
                "error": null,
                "incomplete_details": null,
                "instructions": null,
                "max_output_tokens": null,
                "model": "gpt-4.1-2025-04-14",
                "output": [
                  {
                    "type": "message",
                    "id": "msg_67ccd3acc8d48190a77525dc6de64b4104becb25c45c1d41",
                    "status": "completed",
                    "role": "assistant",
                    "content": [
                      {
                        "type": "output_text",
                        "text": "The image depicts a scenic landscape with a wooden boardwalk or pathway leading through lush, green grass under a blue sky with some clouds. The setting suggests a peaceful natural area, possibly a park or nature reserve. There are trees and shrubs in the background.",
                        "annotations": []
                      }
                    ]
                  }
                ],
                "parallel_tool_calls": true,
                "previous_response_id": null,
                "reasoning": {
                  "effort": null,
                  "summary": null
                },
                "store": true,
                "temperature": 1.0,
                "text": {
                  "format": {
                    "type": "text"
                  }
                },
                "tool_choice": "auto",
                "tools": [],
                "top_p": 1.0,
                "truncation": "disabled",
                "usage": {
                  "input_tokens": 328,
                  "input_tokens_details": {
                    "cached_tokens": 0
                  },
                  "output_tokens": 52,
                  "output_tokens_details": {
                    "reasoning_tokens": 0
                  },
                  "total_tokens": 380
                },
                "user": null,
                "metadata": {}
              }
          - title: Web search
            request:
              curl: |
                curl https://api.openai.com/v1/responses \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "gpt-4.1",
                    "tools": [{ "type": "web_search_preview" }],
                    "input": "What was a positive news story from today?"
                  }'
              javascript: |
                import OpenAI from "openai";

                const openai = new OpenAI();

                const response = await openai.responses.create({
                    model: "gpt-4.1",
                    tools: [{ type: "web_search_preview" }],
                    input: "What was a positive news story from today?",
                });

                console.log(response);
              python: |
                from openai import OpenAI

                client = OpenAI()

                response = client.responses.create(
                    model="gpt-4.1",
                    tools=[{ "type": "web_search_preview" }],
                    input="What was a positive news story from today?",
                )

                print(response)
              csharp: >
                using System;


                using OpenAI.Responses;


                OpenAIResponseClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                string userInputText = "What was a positive news story from
                today?";


                ResponseCreationOptions options = new()

                {
                    Tools =
                    {
                        ResponseTool.CreateWebSearchTool()
                    },
                };


                OpenAIResponse response = client.CreateResponse(userInputText,
                options);


                Console.WriteLine(response.GetOutputText());
            response: >
              {
                "id": "resp_67ccf18ef5fc8190b16dbee19bc54e5f087bb177ab789d5c",
                "object": "response",
                "created_at": 1741484430,
                "status": "completed",
                "error": null,
                "incomplete_details": null,
                "instructions": null,
                "max_output_tokens": null,
                "model": "gpt-4.1-2025-04-14",
                "output": [
                  {
                    "type": "web_search_call",
                    "id": "ws_67ccf18f64008190a39b619f4c8455ef087bb177ab789d5c",
                    "status": "completed"
                  },
                  {
                    "type": "message",
                    "id": "msg_67ccf190ca3881909d433c50b1f6357e087bb177ab789d5c",
                    "status": "completed",
                    "role": "assistant",
                    "content": [
                      {
                        "type": "output_text",
                        "text": "As of today, March 9, 2025, one notable positive news story...",
                        "annotations": [
                          {
                            "type": "url_citation",
                            "start_index": 442,
                            "end_index": 557,
                            "url": "https://.../?utm_source=chatgpt.com",
                            "title": "..."
                          },
                          {
                            "type": "url_citation",
                            "start_index": 962,
                            "end_index": 1077,
                            "url": "https://.../?utm_source=chatgpt.com",
                            "title": "..."
                          },
                          {
                            "type": "url_citation",
                            "start_index": 1336,
                            "end_index": 1451,
                            "url": "https://.../?utm_source=chatgpt.com",
                            "title": "..."
                          }
                        ]
                      }
                    ]
                  }
                ],
                "parallel_tool_calls": true,
                "previous_response_id": null,
                "reasoning": {
                  "effort": null,
                  "summary": null
                },
                "store": true,
                "temperature": 1.0,
                "text": {
                  "format": {
                    "type": "text"
                  }
                },
                "tool_choice": "auto",
                "tools": [
                  {
                    "type": "web_search_preview",
                    "domains": [],
                    "search_context_size": "medium",
                    "user_location": {
                      "type": "approximate",
                      "city": null,
                      "country": "US",
                      "region": null,
                      "timezone": null
                    }
                  }
                ],
                "top_p": 1.0,
                "truncation": "disabled",
                "usage": {
                  "input_tokens": 328,
                  "input_tokens_details": {
                    "cached_tokens": 0
                  },
                  "output_tokens": 356,
                  "output_tokens_details": {
                    "reasoning_tokens": 0
                  },
                  "total_tokens": 684
                },
                "user": null,
                "metadata": {}
              }
          - title: File search
            request:
              curl: >
                curl https://api.openai.com/v1/responses \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "gpt-4.1",
                    "tools": [{
                      "type": "file_search",
                      "vector_store_ids": ["vs_1234567890"],
                      "max_num_results": 20
                    }],
                    "input": "What are the attributes of an ancient brown dragon?"
                  }'
              javascript: >
                import OpenAI from "openai";


                const openai = new OpenAI();


                const response = await openai.responses.create({
                    model: "gpt-4.1",
                    tools: [{
                      type: "file_search",
                      vector_store_ids: ["vs_1234567890"],
                      max_num_results: 20
                    }],
                    input: "What are the attributes of an ancient brown dragon?",
                });


                console.log(response);
              python: |
                from openai import OpenAI

                client = OpenAI()

                response = client.responses.create(
                    model="gpt-4.1",
                    tools=[{
                      "type": "file_search",
                      "vector_store_ids": ["vs_1234567890"],
                      "max_num_results": 20
                    }],
                    input="What are the attributes of an ancient brown dragon?",
                )

                print(response)
              csharp: >
                using System;


                using OpenAI.Responses;


                OpenAIResponseClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                string userInputText = "What are the attributes of an ancient
                brown dragon?";


                ResponseCreationOptions options = new()

                {
                    Tools =
                    {
                        ResponseTool.CreateFileSearchTool(
                            vectorStoreIds: ["vs_1234567890"],
                            maxResultCount: 20
                        )
                    },
                };


                OpenAIResponse response = client.CreateResponse(userInputText,
                options);


                Console.WriteLine(response.GetOutputText());
            response: >
              {
                "id": "resp_67ccf4c55fc48190b71bd0463ad3306d09504fb6872380d7",
                "object": "response",
                "created_at": 1741485253,
                "status": "completed",
                "error": null,
                "incomplete_details": null,
                "instructions": null,
                "max_output_tokens": null,
                "model": "gpt-4.1-2025-04-14",
                "output": [
                  {
                    "type": "file_search_call",
                    "id": "fs_67ccf4c63cd08190887ef6464ba5681609504fb6872380d7",
                    "status": "completed",
                    "queries": [
                      "attributes of an ancient brown dragon"
                    ],
                    "results": null
                  },
                  {
                    "type": "message",
                    "id": "msg_67ccf4c93e5c81909d595b369351a9d309504fb6872380d7",
                    "status": "completed",
                    "role": "assistant",
                    "content": [
                      {
                        "type": "output_text",
                        "text": "The attributes of an ancient brown dragon include...",
                        "annotations": [
                          {
                            "type": "file_citation",
                            "index": 320,
                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
                            "filename": "dragons.pdf"
                          },
                          {
                            "type": "file_citation",
                            "index": 576,
                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
                            "filename": "dragons.pdf"
                          },
                          {
                            "type": "file_citation",
                            "index": 815,
                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
                            "filename": "dragons.pdf"
                          },
                          {
                            "type": "file_citation",
                            "index": 815,
                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
                            "filename": "dragons.pdf"
                          },
                          {
                            "type": "file_citation",
                            "index": 1030,
                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
                            "filename": "dragons.pdf"
                          },
                          {
                            "type": "file_citation",
                            "index": 1030,
                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
                            "filename": "dragons.pdf"
                          },
                          {
                            "type": "file_citation",
                            "index": 1156,
                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
                            "filename": "dragons.pdf"
                          },
                          {
                            "type": "file_citation",
                            "index": 1225,
                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
                            "filename": "dragons.pdf"
                          }
                        ]
                      }
                    ]
                  }
                ],
                "parallel_tool_calls": true,
                "previous_response_id": null,
                "reasoning": {
                  "effort": null,
                  "summary": null
                },
                "store": true,
                "temperature": 1.0,
                "text": {
                  "format": {
                    "type": "text"
                  }
                },
                "tool_choice": "auto",
                "tools": [
                  {
                    "type": "file_search",
                    "filters": null,
                    "max_num_results": 20,
                    "ranking_options": {
                      "ranker": "auto",
                      "score_threshold": 0.0
                    },
                    "vector_store_ids": [
                      "vs_1234567890"
                    ]
                  }
                ],
                "top_p": 1.0,
                "truncation": "disabled",
                "usage": {
                  "input_tokens": 18307,
                  "input_tokens_details": {
                    "cached_tokens": 0
                  },
                  "output_tokens": 348,
                  "output_tokens_details": {
                    "reasoning_tokens": 0
                  },
                  "total_tokens": 18655
                },
                "user": null,
                "metadata": {}
              }
          - title: Streaming
            request:
              curl: |
                curl https://api.openai.com/v1/responses \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "gpt-4.1",
                    "instructions": "You are a helpful assistant.",
                    "input": "Hello!",
                    "stream": true
                  }'
              python: |
                from openai import OpenAI

                client = OpenAI()

                response = client.responses.create(
                  model="gpt-4.1",
                  instructions="You are a helpful assistant.",
                  input="Hello!",
                  stream=True
                )

                for event in response:
                  print(event)
              javascript: |
                import OpenAI from "openai";

                const openai = new OpenAI();

                const response = await openai.responses.create({
                    model: "gpt-4.1",
                    instructions: "You are a helpful assistant.",
                    input: "Hello!",
                    stream: true,
                });

                for await (const event of response) {
                    console.log(event);
                }
              csharp: >
                using System;

                using System.ClientModel;

                using System.Threading.Tasks;


                using OpenAI.Responses;


                OpenAIResponseClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                string userInputText = "Hello!";


                ResponseCreationOptions options = new()

                {
                    Instructions = "You are a helpful assistant.",
                };


                AsyncCollectionResult<StreamingResponseUpdate> responseUpdates =
                client.CreateResponseStreamingAsync(userInputText, options);


                await foreach (StreamingResponseUpdate responseUpdate in
                responseUpdates)

                {
                    if (responseUpdate is StreamingResponseOutputTextDeltaUpdate outputTextDeltaUpdate)
                    {
                        Console.Write(outputTextDeltaUpdate.Delta);
                    }
                }
            response: |
              event: response.created
              data: {"type":"response.created","response":{"id":"resp_67c9fdcecf488190bdd9a0409de3a1ec07b8b0ad4e5eb654","object":"response","created_at":1741290958,"status":"in_progress","error":null,"incomplete_details":null,"instructions":"You are a helpful assistant.","max_output_tokens":null,"model":"gpt-4.1-2025-04-14","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}

              event: response.in_progress
              data: {"type":"response.in_progress","response":{"id":"resp_67c9fdcecf488190bdd9a0409de3a1ec07b8b0ad4e5eb654","object":"response","created_at":1741290958,"status":"in_progress","error":null,"incomplete_details":null,"instructions":"You are a helpful assistant.","max_output_tokens":null,"model":"gpt-4.1-2025-04-14","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}

              event: response.output_item.added
              data: {"type":"response.output_item.added","output_index":0,"item":{"id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","type":"message","status":"in_progress","role":"assistant","content":[]}}

              event: response.content_part.added
              data: {"type":"response.content_part.added","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}

              event: response.output_text.delta
              data: {"type":"response.output_text.delta","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"delta":"Hi"}

              ...

              event: response.output_text.done
              data: {"type":"response.output_text.done","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"text":"Hi there! How can I assist you today?"}

              event: response.content_part.done
              data: {"type":"response.content_part.done","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"part":{"type":"output_text","text":"Hi there! How can I assist you today?","annotations":[]}}

              event: response.output_item.done
              data: {"type":"response.output_item.done","output_index":0,"item":{"id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Hi there! How can I assist you today?","annotations":[]}]}}

              event: response.completed
              data: {"type":"response.completed","response":{"id":"resp_67c9fdcecf488190bdd9a0409de3a1ec07b8b0ad4e5eb654","object":"response","created_at":1741290958,"status":"completed","error":null,"incomplete_details":null,"instructions":"You are a helpful assistant.","max_output_tokens":null,"model":"gpt-4.1-2025-04-14","output":[{"id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Hi there! How can I assist you today?","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":37,"output_tokens":11,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":48},"user":null,"metadata":{}}}
          - title: Functions
            request:
              curl: >
                curl https://api.openai.com/v1/responses \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "gpt-4.1",
                    "input": "What is the weather like in Boston today?",
                    "tools": [
                      {
                        "type": "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", "unit"]
                        }
                      }
                    ],
                    "tool_choice": "auto"
                  }'
              python: >
                from openai import OpenAI


                client = OpenAI()


                tools = [
                    {
                        "type": "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", "unit"],
                        }
                    }
                ]


                response = client.responses.create(
                  model="gpt-4.1",
                  tools=tools,
                  input="What is the weather like in Boston today?",
                  tool_choice="auto"
                )


                print(response)
              javascript: >
                import OpenAI from "openai";


                const openai = new OpenAI();


                const tools = [
                    {
                        type: "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", "unit"],
                        },
                    },
                ];


                const response = await openai.responses.create({
                    model: "gpt-4.1",
                    tools: tools,
                    input: "What is the weather like in Boston today?",
                    tool_choice: "auto",
                });


                console.log(response);
              csharp: >
                using System;

                using OpenAI.Responses;


                OpenAIResponseClient client = new(
                    model: "gpt-4.1",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                ResponseTool getCurrentWeatherFunctionTool =
                ResponseTool.CreateFunctionTool(
                    functionName: "get_current_weather",
                    functionDescription: "Get the current weather in a given location",
                    functionParameters: BinaryData.FromString("""
                        {
                            "type": "object",
                            "properties": {
                                "location": {
                                    "type": "string",
                                    "description": "The city and state, e.g. San Francisco, CA"
                                },
                                "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
                            },
                            "required": ["location", "unit"]
                        }
                        """
                    )
                );


                string userInputText = "What is the weather like in Boston
                today?";


                ResponseCreationOptions options = new()

                {
                    Tools =
                    {
                        getCurrentWeatherFunctionTool
                    },
                    ToolChoice = ResponseToolChoice.CreateAutoChoice(),
                };


                OpenAIResponse response = client.CreateResponse(userInputText,
                options);
            response: >
              {
                "id": "resp_67ca09c5efe0819096d0511c92b8c890096610f474011cc0",
                "object": "response",
                "created_at": 1741294021,
                "status": "completed",
                "error": null,
                "incomplete_details": null,
                "instructions": null,
                "max_output_tokens": null,
                "model": "gpt-4.1-2025-04-14",
                "output": [
                  {
                    "type": "function_call",
                    "id": "fc_67ca09c6bedc8190a7abfec07b1a1332096610f474011cc0",
                    "call_id": "call_unLAR8MvFNptuiZK6K6HCy5k",
                    "name": "get_current_weather",
                    "arguments": "{\"location\":\"Boston, MA\",\"unit\":\"celsius\"}",
                    "status": "completed"
                  }
                ],
                "parallel_tool_calls": true,
                "previous_response_id": null,
                "reasoning": {
                  "effort": null,
                  "summary": null
                },
                "store": true,
                "temperature": 1.0,
                "text": {
                  "format": {
                    "type": "text"
                  }
                },
                "tool_choice": "auto",
                "tools": [
                  {
                    "type": "function",
                    "description": "Get the current weather in a given location",
                    "name": "get_current_weather",
                    "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",
                        "unit"
                      ]
                    },
                    "strict": true
                  }
                ],
                "top_p": 1.0,
                "truncation": "disabled",
                "usage": {
                  "input_tokens": 291,
                  "output_tokens": 23,
                  "output_tokens_details": {
                    "reasoning_tokens": 0
                  },
                  "total_tokens": 314
                },
                "user": null,
                "metadata": {}
              }
          - title: Reasoning
            request:
              curl: |
                curl https://api.openai.com/v1/responses \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -d '{
                    "model": "o3-mini",
                    "input": "How much wood would a woodchuck chuck?",
                    "reasoning": {
                      "effort": "high"
                    }
                  }'
              javascript: |
                import OpenAI from "openai";
                const openai = new OpenAI();

                const response = await openai.responses.create({
                    model: "o3-mini",
                    input: "How much wood would a woodchuck chuck?",
                    reasoning: {
                      effort: "high"
                    }
                });

                console.log(response);
              python: |
                from openai import OpenAI
                client = OpenAI()

                response = client.responses.create(
                    model="o3-mini",
                    input="How much wood would a woodchuck chuck?",
                    reasoning={
                        "effort": "high"
                    }
                )

                print(response)
              csharp: >
                using System;

                using OpenAI.Responses;


                OpenAIResponseClient client = new(
                    model: "o3-mini",
                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
                );


                string userInputText = "How much wood would a woodchuck chuck?";


                ResponseCreationOptions options = new()

                {
                    ReasoningOptions = new()
                    {
                        ReasoningEffortLevel = ResponseReasoningEffortLevel.High,
                    },
                };


                OpenAIResponse response = client.CreateResponse(userInputText,
                options);


                Console.WriteLine(response.GetOutputText());
            response: >
              {
                "id": "resp_67ccd7eca01881908ff0b5146584e408072912b2993db808",
                "object": "response",
                "created_at": 1741477868,
                "status": "completed",
                "error": null,
                "incomplete_details": null,
                "instructions": null,
                "max_output_tokens": null,
                "model": "o1-2024-12-17",
                "output": [
                  {
                    "type": "message",
                    "id": "msg_67ccd7f7b5848190a6f3e95d809f6b44072912b2993db808",
                    "status": "completed",
                    "role": "assistant",
                    "content": [
                      {
                        "type": "output_text",
                        "text": "The classic tongue twister...",
                        "annotations": []
                      }
                    ]
                  }
                ],
                "parallel_tool_calls": true,
                "previous_response_id": null,
                "reasoning": {
                  "effort": "high",
                  "summary": null
                },
                "store": true,
                "temperature": 1.0,
                "text": {
                  "format": {
                    "type": "text"
                  }
                },
                "tool_choice": "auto",
                "tools": [],
                "top_p": 1.0,
                "truncation": "disabled",
                "usage": {
                  "input_tokens": 81,
                  "input_tokens_details": {
                    "cached_tokens": 0
                  },
                  "output_tokens": 1035,
                  "output_tokens_details": {
                    "reasoning_tokens": 832
                  },
                  "total_tokens": 1116
                },
                "user": null,
                "metadata": {}
              }
  /responses/{response_id}:
    get:
      operationId: getResponse
      tags:
        - Responses
      summary: |
        Retrieves a model response with the given ID.
      parameters:
        - in: path
          name: response_id
          required: true
          schema:
            type: string
            example: resp_677efb5139a88190b512bc3fef8e535d
          description: The ID of the response to retrieve.
        - in: query
          name: include
          schema:
            type: array
            items:
              $ref: "#/components/schemas/Includable"
          description: |
            Additional fields to include in the response. See the `include`
            parameter for Response creation above for more information.
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Response"
      x-oaiMeta:
        name: Get a model response
        group: responses
        returns: >
          The [Response](/docs/api-reference/responses/object) object matching
          the

          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/responses/resp_123 \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY"
            javascript: |
              import OpenAI from "openai";
              const client = new OpenAI();

              const response = await client.responses.retrieve("resp_123");
              console.log(response);
            python: |
              from openai import OpenAI
              client = OpenAI()

              response = client.responses.retrieve("resp_123")
              print(response)
          response: >
            {
              "id": "resp_67cb71b351908190a308f3859487620d06981a8637e6bc44",
              "object": "response",
              "created_at": 1741386163,
              "status": "completed",
              "error": null,
              "incomplete_details": null,
              "instructions": null,
              "max_output_tokens": null,
              "model": "gpt-4o-2024-08-06",
              "output": [
                {
                  "type": "message",
                  "id": "msg_67cb71b3c2b0819084d481baaaf148f206981a8637e6bc44",
                  "status": "completed",
                  "role": "assistant",
                  "content": [
                    {
                      "type": "output_text",
                      "text": "Silent circuits hum,  \nThoughts emerge in data streams—  \nDigital dawn breaks.",
                      "annotations": []
                    }
                  ]
                }
              ],
              "parallel_tool_calls": true,
              "previous_response_id": null,
              "reasoning": {
                "effort": null,
                "summary": null
              },
              "store": true,
              "temperature": 1.0,
              "text": {
                "format": {
                  "type": "text"
                }
              },
              "tool_choice": "auto",
              "tools": [],
              "top_p": 1.0,
              "truncation": "disabled",
              "usage": {
                "input_tokens": 32,
                "input_tokens_details": {
                  "cached_tokens": 0
                },
                "output_tokens": 18,
                "output_tokens_details": {
                  "reasoning_tokens": 0
                },
                "total_tokens": 50
              },
              "user": null,
              "metadata": {}
            }
    delete:
      operationId: deleteResponse
      tags:
        - Responses
      summary: |
        Deletes a model response with the given ID.
      parameters:
        - in: path
          name: response_id
          required: true
          schema:
            type: string
            example: resp_677efb5139a88190b512bc3fef8e535d
          description: The ID of the response to delete.
      responses:
        "200":
          description: OK
        "404":
          description: Not Found
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Error"
      x-oaiMeta:
        name: Delete a model response
        group: responses
        returns: |
          A success message.
        examples:
          request:
            curl: |
              curl -X DELETE https://api.openai.com/v1/responses/resp_123 \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY"
            javascript: |
              import OpenAI from "openai";
              const client = new OpenAI();

              const response = await client.responses.del("resp_123");
              console.log(response);
            python: |
              from openai import OpenAI
              client = OpenAI()

              response = client.responses.del("resp_123")
              print(response)
          response: |
            {
              "id": "resp_6786a1bec27481909a17d673315b29f6",
              "object": "response",
              "deleted": true
            }
  /responses/{response_id}/input_items:
    get:
      operationId: listInputItems
      tags:
        - Responses
      summary: Returns a list of input items for a given response.
      parameters:
        - in: path
          name: response_id
          required: true
          schema:
            type: string
          description: The ID of the response to retrieve input items for.
        - name: limit
          in: query
          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
        - in: query
          name: order
          schema:
            type: string
            enum:
              - asc
              - desc
          description: |
            The order to return the input items in. Default is `asc`.
            - `asc`: Return the input items in ascending order.
            - `desc`: Return the input items in descending order.
        - in: query
          name: after
          schema:
            type: string
          description: |
            An item ID to list items after, used in pagination.
        - in: query
          name: before
          schema:
            type: string
          description: |
            An item ID to list items before, used in pagination.
        - in: query
          name: include
          schema:
            type: array
            items:
              $ref: "#/components/schemas/Includable"
          description: |
            Additional fields to include in the response. See the `include`
            parameter for Response creation above for more information.
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ResponseItemList"
      x-oaiMeta:
        name: List input items
        group: responses
        returns: A list of input item objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/responses/resp_abc123/input_items \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY"
            javascript: >
              import OpenAI from "openai";

              const client = new OpenAI();


              const response = await
              client.responses.inputItems.list("resp_123");

              console.log(response.data);
            python: |
              from openai import OpenAI
              client = OpenAI()

              response = client.responses.input_items.list("resp_123")
              print(response.data)
          response: >
            {
              "object": "list",
              "data": [
                {
                  "id": "msg_abc123",
                  "type": "message",
                  "role": "user",
                  "content": [
                    {
                      "type": "input_text",
                      "text": "Tell me a three sentence bedtime story about a unicorn."
                    }
                  ]
                }
              ],
              "first_id": "msg_abc123",
              "last_id": "msg_abc123",
              "has_more": false
            }
  /threads:
    post:
      operationId: createThread
      tags:
        - Assistants
      summary: Create a thread.
      requestBody:
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateThreadRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ThreadObject"
      x-oaiMeta:
        name: Create thread
        group: threads
        beta: true
        returns: A [thread](/docs/api-reference/threads) object.
        examples:
          - title: Empty
            request:
              curl: |
                curl https://api.openai.com/v1/threads \
                  -H "Content-Type: application/json" \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -H "OpenAI-Beta: assistants=v2" \
                  -d ''
              python: |
                from openai import OpenAI
                client = OpenAI()

                empty_thread = client.beta.threads.create()
                print(empty_thread)
              node.js: |-
                import OpenAI from "openai";

                const openai = new OpenAI();

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

                  console.log(emptyThread);
                }

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

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

                print(message_thread)
              node.js: >-
                import OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const messageThread = await openai.beta.threads.create({
                    messages: [
                      {
                        role: "user",
                        content: "Hello, what is AI?"
                      },
                      {
                        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/runs:
    post:
      operationId: createThreadAndRun
      tags:
        - Assistants
      summary: Create a thread and run it in one request.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateThreadAndRunRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RunObject"
      x-oaiMeta:
        name: Create thread and run
        group: threads
        beta: true
        returns: A [run](/docs/api-reference/runs/object) object.
        examples:
          - title: Default
            request:
              curl: >
                curl https://api.openai.com/v1/threads/runs \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -H "Content-Type: application/json" \
                  -H "OpenAI-Beta: assistants=v2" \
                  -d '{
                      "assistant_id": "asst_abc123",
                      "thread": {
                        "messages": [
                          {"role": "user", "content": "Explain deep learning to a 5 year old."}
                        ]
                      }
                    }'
              python: >
                from openai import OpenAI

                client = OpenAI()


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


                print(run)
              node.js: >
                import OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const run = await openai.beta.threads.createAndRun({
                    assistant_id: "asst_abc123",
                    thread: {
                      messages: [
                        { role: "user", content: "Explain deep learning to a 5 year old." },
                      ],
                    },
                  });

                  console.log(run);
                }


                main();
            response: |
              {
                "id": "run_abc123",
                "object": "thread.run",
                "created_at": 1699076792,
                "assistant_id": "asst_abc123",
                "thread_id": "thread_abc123",
                "status": "queued",
                "started_at": null,
                "expires_at": 1699077392,
                "cancelled_at": null,
                "failed_at": null,
                "completed_at": null,
                "required_action": null,
                "last_error": null,
                "model": "gpt-4o",
                "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.openai.com/v1/threads/runs \
                  -H "Authorization: Bearer $OPENAI_API_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 openai import OpenAI
                client = OpenAI()

                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 OpenAI from "openai";

                const openai = new OpenAI();

                async function main() {
                  const stream = await openai.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-4o","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-4o","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-4o","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-4o","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.openai.com/v1/threads/runs \
                  -H "Authorization: Bearer $OPENAI_API_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 openai import OpenAI

                client = OpenAI()


                tools = [
                  {
                    "type": "function",
                    "function": {
                      "name": "get_current_weather",
                      "description": "Get the current weather in a given location",
                      "parameters": {
                        "type": "object",
                        "properties": {
                          "location": {
                            "type": "string",
                            "description": "The city and state, e.g. San Francisco, CA",
                          },
                          "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
                        },
                        "required": ["location"],
                      },
                    }
                  }
                ]


                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 OpenAI from "openai";


                const openai = new OpenAI();


                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 openai.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-4o","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-4o","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-4o","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-4o","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}:
    get:
      operationId: getThread
      tags:
        - Assistants
      summary: Retrieves a thread.
      parameters:
        - in: path
          name: thread_id
          required: true
          schema:
            type: string
          description: The ID of the thread to retrieve.
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ThreadObject"
      x-oaiMeta:
        name: Retrieve thread
        group: threads
        beta: true
        returns: The [thread](/docs/api-reference/threads/object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/threads/thread_abc123 \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

              my_thread = client.beta.threads.retrieve("thread_abc123")
              print(my_thread)
            node.js: |-
              import OpenAI from "openai";

              const openai = new OpenAI();

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

                console.log(myThread);
              }

              main();
          response: |
            {
              "id": "thread_abc123",
              "object": "thread",
              "created_at": 1699014083,
              "metadata": {},
              "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](/docs/api-reference/threads/object) object
          matching the specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/threads/thread_abc123 \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2" \
                -d '{
                    "metadata": {
                      "modified": "true",
                      "user": "abc123"
                    }
                  }'
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              const openai = new OpenAI();

              async function main() {
                const updatedThread = await openai.beta.threads.update(
                  "thread_abc123",
                  {
                    metadata: { modified: "true", user: "abc123" },
                  }
                );

                console.log(updatedThread);
              }

              main();
          response: |
            {
              "id": "thread_abc123",
              "object": "thread",
              "created_at": 1699014083,
              "metadata": {
                "modified": "true",
                "user": "abc123"
              },
              "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.openai.com/v1/threads/thread_abc123 \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2" \
                -X DELETE
            python: |
              from openai import OpenAI
              client = OpenAI()

              response = client.beta.threads.delete("thread_abc123")
              print(response)
            node.js: |-
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const response = await openai.beta.threads.del("thread_abc123");

                console.log(response);
              }
              main();
          response: |
            {
              "id": "thread_abc123",
              "object": "thread.deleted",
              "deleted": true
            }
  /threads/{thread_id}/messages:
    get:
      operationId: listMessages
      tags:
        - Assistants
      summary: Returns a list of messages for a given thread.
      parameters:
        - in: path
          name: thread_id
          required: true
          schema:
            type: string
          description: The ID of the [thread](/docs/api-reference/threads) the messages
            belong to.
        - name: limit
          in: query
          description: >
            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: >
            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: >
            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: >
            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, starting with obj_foo, your
            subsequent call can include before=obj_foo in order to fetch the
            previous page of the list.
          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](/docs/api-reference/messages) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/threads/thread_abc123/messages \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2"
            python: >
              from openai import OpenAI

              client = OpenAI()


              thread_messages =
              client.beta.threads.messages.list("thread_abc123")

              print(thread_messages.data)
            node.js: |-
              import OpenAI from "openai";

              const openai = new OpenAI();

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

                console.log(threadMessages.data);
              }

              main();
          response: >
            {
              "object": "list",
              "data": [
                {
                  "id": "msg_abc123",
                  "object": "thread.message",
                  "created_at": 1699016383,
                  "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](/docs/api-reference/threads) to create a
            message for.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateMessageRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/MessageObject"
      x-oaiMeta:
        name: Create message
        group: threads
        beta: true
        returns: A [message](/docs/api-reference/messages/object) object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/threads/thread_abc123/messages \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2" \
                -d '{
                    "role": "user",
                    "content": "How does AI work? Explain it in simple terms."
                  }'
            python: |
              from openai import OpenAI
              client = OpenAI()

              thread_message = client.beta.threads.messages.create(
                "thread_abc123",
                role="user",
                content="How does AI work? Explain it in simple terms.",
              )
              print(thread_message)
            node.js: >-
              import OpenAI from "openai";


              const openai = new OpenAI();


              async function main() {
                const threadMessages = await openai.beta.threads.messages.create(
                  "thread_abc123",
                  { role: "user", content: "How does AI work? Explain it in simple terms." }
                );

                console.log(threadMessages);
              }


              main();
          response: |
            {
              "id": "msg_abc123",
              "object": "thread.message",
              "created_at": 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](/docs/api-reference/threads) to which this
            message belongs.
        - in: path
          name: message_id
          required: true
          schema:
            type: string
          description: The ID of the message to retrieve.
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/MessageObject"
      x-oaiMeta:
        name: Retrieve message
        group: threads
        beta: true
        returns: The [message](/docs/api-reference/messages/object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              const openai = new OpenAI();

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

                console.log(message);
              }

              main();
          response: |
            {
              "id": "msg_abc123",
              "object": "thread.message",
              "created_at": 1699017614,
              "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](/docs/api-reference/messages/object) object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2" \
                -d '{
                    "metadata": {
                      "modified": "true",
                      "user": "abc123"
                    }
                  }'
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              const openai = new OpenAI();

              async function main() {
                const message = await openai.beta.threads.messages.update(
                  "thread_abc123",
                  "msg_abc123",
                  {
                    metadata: {
                      modified: "true",
                      user: "abc123",
                    },
                  }
                }'
          response: |
            {
              "id": "msg_abc123",
              "object": "thread.message",
              "created_at": 1699017614,
              "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.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \
                -H "Content-Type: application/json" \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              const openai = new OpenAI();

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

                console.log(deletedMessage);
              }
          response: |
            {
              "id": "msg_abc123",
              "object": "thread.message.deleted",
              "deleted": true
            }
  /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: >
            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: >
            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: >
            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: >
            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, starting 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/ListRunsResponse"
      x-oaiMeta:
        name: List runs
        group: threads
        beta: true
        returns: A list of [run](/docs/api-reference/runs/object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/threads/thread_abc123/runs \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              print(runs)
            node.js: |
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const runs = await openai.beta.threads.runs.list(
                  "thread_abc123"
                );

                console.log(runs);
              }

              main();
          response: |
            {
              "object": "list",
              "data": [
                {
                  "id": "run_abc123",
                  "object": "thread.run",
                  "created_at": 1699075072,
                  "assistant_id": "asst_abc123",
                  "thread_id": "thread_abc123",
                  "status": "completed",
                  "started_at": 1699075072,
                  "expires_at": null,
                  "cancelled_at": null,
                  "failed_at": null,
                  "completed_at": 1699075073,
                  "last_error": null,
                  "model": "gpt-4o",
                  "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-4o",
                  "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.
        - name: include[]
          in: query
          description: |
            A list of additional fields to include in the response. Currently the only supported value is `step_details.tool_calls[*].file_search.results[*].content` to fetch the file search result content.

            See the [file search tool documentation](/docs/assistants/tools/file-search#customizing-file-search-settings) for more information.
          schema:
            type: array
            items:
              type: string
              enum:
                - step_details.tool_calls[*].file_search.results[*].content
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateRunRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RunObject"
      x-oaiMeta:
        name: Create run
        group: threads
        beta: true
        returns: A [run](/docs/api-reference/runs/object) object.
        examples:
          - title: Default
            request:
              curl: |
                curl https://api.openai.com/v1/threads/thread_abc123/runs \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -H "Content-Type: application/json" \
                  -H "OpenAI-Beta: assistants=v2" \
                  -d '{
                    "assistant_id": "asst_abc123"
                  }'
              python: |
                from openai import OpenAI
                client = OpenAI()

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

                print(run)
              node.js: |
                import OpenAI from "openai";

                const openai = new OpenAI();

                async function main() {
                  const run = await openai.beta.threads.runs.create(
                    "thread_abc123",
                    { assistant_id: "asst_abc123" }
                  );

                  console.log(run);
                }

                main();
            response: |
              {
                "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-4o",
                "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.openai.com/v1/threads/thread_123/runs \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -H "Content-Type: application/json" \
                  -H "OpenAI-Beta: assistants=v2" \
                  -d '{
                    "assistant_id": "asst_123",
                    "stream": true
                  }'
              python: |
                from openai import OpenAI
                client = OpenAI()

                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 OpenAI from "openai";

                const openai = new OpenAI();

                async function main() {
                  const stream = await openai.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-4o","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-4o","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-4o","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-4o","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.openai.com/v1/threads/thread_abc123/runs \
                  -H "Authorization: Bearer $OPENAI_API_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 openai import OpenAI

                client = OpenAI()


                tools = [
                  {
                    "type": "function",
                    "function": {
                      "name": "get_current_weather",
                      "description": "Get the current weather in a given location",
                      "parameters": {
                        "type": "object",
                        "properties": {
                          "location": {
                            "type": "string",
                            "description": "The city and state, e.g. San Francisco, CA",
                          },
                          "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
                        },
                        "required": ["location"],
                      },
                    }
                  }
                ]


                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 OpenAI from "openai";


                const openai = new OpenAI();


                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 openai.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-4o","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-4o","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-4o","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-4o","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](/docs/api-reference/threads) that was run.
        - in: path
          name: run_id
          required: true
          schema:
            type: string
          description: The ID of the run to retrieve.
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RunObject"
      x-oaiMeta:
        name: Retrieve run
        group: threads
        beta: true
        returns: The [run](/docs/api-reference/runs/object) object matching the
          specified ID.
        examples:
          request:
            curl: >
              curl
              https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              print(run)
            node.js: |
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const run = await openai.beta.threads.runs.retrieve(
                  "thread_abc123",
                  "run_abc123"
                );

                console.log(run);
              }

              main();
          response: |
            {
              "id": "run_abc123",
              "object": "thread.run",
              "created_at": 1699075072,
              "assistant_id": "asst_abc123",
              "thread_id": "thread_abc123",
              "status": "completed",
              "started_at": 1699075072,
              "expires_at": null,
              "cancelled_at": null,
              "failed_at": null,
              "completed_at": 1699075073,
              "last_error": null,
              "model": "gpt-4o",
              "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](/docs/api-reference/threads) that was run.
        - in: path
          name: run_id
          required: true
          schema:
            type: string
          description: The ID of the run to modify.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/ModifyRunRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RunObject"
      x-oaiMeta:
        name: Modify run
        group: threads
        beta: true
        returns: The modified [run](/docs/api-reference/runs/object) object matching the
          specified ID.
        examples:
          request:
            curl: >
              curl
              https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2" \
                -d '{
                  "metadata": {
                    "user_id": "user_abc123"
                  }
                }'
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              print(run)
            node.js: |
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const run = await openai.beta.threads.runs.update(
                  "thread_abc123",
                  "run_abc123",
                  {
                    metadata: {
                      user_id: "user_abc123",
                    },
                  }
                );

                console.log(run);
              }

              main();
          response: |
            {
              "id": "run_abc123",
              "object": "thread.run",
              "created_at": 1699075072,
              "assistant_id": "asst_abc123",
              "thread_id": "thread_abc123",
              "status": "completed",
              "started_at": 1699075072,
              "expires_at": null,
              "cancelled_at": null,
              "failed_at": null,
              "completed_at": 1699075073,
              "last_error": null,
              "model": "gpt-4o",
              "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}/cancel:
    post:
      operationId: cancelRun
      tags:
        - Assistants
      summary: Cancels a run that is `in_progress`.
      parameters:
        - in: path
          name: thread_id
          required: true
          schema:
            type: string
          description: The ID of the thread to which this run belongs.
        - in: path
          name: run_id
          required: true
          schema:
            type: string
          description: The ID of the run to cancel.
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RunObject"
      x-oaiMeta:
        name: Cancel a run
        group: threads
        beta: true
        returns: The modified [run](/docs/api-reference/runs/object) object matching the
          specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/cancel \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "OpenAI-Beta: assistants=v2" \
                -X POST
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              print(run)
            node.js: |
              import OpenAI from "openai";

              const openai = new OpenAI();

              async function main() {
                const run = await openai.beta.threads.runs.cancel(
                  "thread_abc123",
                  "run_abc123"
                );

                console.log(run);
              }

              main();
          response: |
            {
              "id": "run_abc123",
              "object": "thread.run",
              "created_at": 1699076126,
              "assistant_id": "asst_abc123",
              "thread_id": "thread_abc123",
              "status": "cancelling",
              "started_at": 1699076126,
              "expires_at": 1699076726,
              "cancelled_at": null,
              "failed_at": null,
              "completed_at": null,
              "last_error": null,
              "model": "gpt-4o",
              "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: >
            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: >
            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: >
            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: >
            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, starting with obj_foo, your
            subsequent call can include before=obj_foo in order to fetch the
            previous page of the list.
          schema:
            type: string
        - name: include[]
          in: query
          description: |
            A list of additional fields to include in the response. Currently the only supported value is `step_details.tool_calls[*].file_search.results[*].content` to fetch the file search result content.

            See the [file search tool documentation](/docs/assistants/tools/file-search#customizing-file-search-settings) for more information.
          schema:
            type: array
            items:
              type: string
              enum:
                - step_details.tool_calls[*].file_search.results[*].content
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ListRunStepsResponse"
      x-oaiMeta:
        name: List run steps
        group: threads
        beta: true
        returns: A list of [run step](/docs/api-reference/run-steps/step-object)
          objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/steps \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

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

              print(run_steps)
            node.js: |
              import OpenAI from "openai";
              const openai = new OpenAI();

              async function main() {
                const runStep = await openai.beta.threads.runs.steps.list(
                  "thread_abc123",
                  "run_abc123"
                );
                console.log(runStep);
              }

              main();
          response: |
            {
              "object": "list",
              "data": [
                {
                  "id": "step_abc123",
                  "object": "thread.run.step",
                  "created_at": 1699063291,
                  "run_id": "run_abc123",
                  "assistant_id": "asst_abc123",
                  "thread_id": "thread_abc123",
                  "type": "message_creation",
                  "status": "completed",
                  "cancelled_at": null,
                  "completed_at": 1699063291,
                  "expired_at": null,
                  "failed_at": null,
                  "last_error": null,
                  "step_details": {
                    "type": "message_creation",
                    "message_creation": {
                      "message_id": "msg_abc123"
                    }
                  },
                  "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.
        - name: include[]
          in: query
          description: |
            A list of additional fields to include in the response. Currently the only supported value is `step_details.tool_calls[*].file_search.results[*].content` to fetch the file search result content.

            See the [file search tool documentation](/docs/assistants/tools/file-search#customizing-file-search-settings) for more information.
          schema:
            type: array
            items:
              type: string
              enum:
                - step_details.tool_calls[*].file_search.results[*].content
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RunStepObject"
      x-oaiMeta:
        name: Retrieve run step
        group: threads
        beta: true
        returns: The [run step](/docs/api-reference/run-steps/step-object) object
          matching the specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/steps/step_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

              run_step = client.beta.threads.runs.steps.retrieve(
                  thread_id="thread_abc123",
                  run_id="run_abc123",
                  step_id="step_abc123"
              )

              print(run_step)
            node.js: |
              import OpenAI from "openai";
              const openai = new OpenAI();

              async function main() {
                const runStep = await openai.beta.threads.runs.steps.retrieve(
                  "thread_abc123",
                  "run_abc123",
                  "step_abc123"
                );
                console.log(runStep);
              }

              main();
          response: |
            {
              "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
              }
            }
  /threads/{thread_id}/runs/{run_id}/submit_tool_outputs:
    post:
      operationId: submitToolOuputsToRun
      tags:
        - Assistants
      summary: >
        When a run has the `status: "requires_action"` and
        `required_action.type` is `submit_tool_outputs`, this endpoint can be
        used to submit the outputs from the tool calls once they're all
        completed. All outputs must be submitted in a single request.
      parameters:
        - in: path
          name: thread_id
          required: true
          schema:
            type: string
          description: The ID of the [thread](/docs/api-reference/threads) to which this
            run belongs.
        - in: path
          name: run_id
          required: true
          schema:
            type: string
          description: The ID of the run that requires the tool output submission.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/SubmitToolOutputsRunRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RunObject"
      x-oaiMeta:
        name: Submit tool outputs to run
        group: threads
        beta: true
        returns: The modified [run](/docs/api-reference/runs/object) object matching the
          specified ID.
        examples:
          - title: Default
            request:
              curl: |
                curl https://api.openai.com/v1/threads/thread_123/runs/run_123/submit_tool_outputs \
                  -H "Authorization: Bearer $OPENAI_API_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 openai import OpenAI
                client = OpenAI()

                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 OpenAI from "openai";

                const openai = new OpenAI();

                async function main() {
                  const run = await openai.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-4o",
                "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.openai.com/v1/threads/thread_123/runs/run_123/submit_tool_outputs \
                  -H "Authorization: Bearer $OPENAI_API_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 openai import OpenAI
                client = OpenAI()

                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 OpenAI from "openai";


                const openai = new OpenAI();


                async function main() {
                  const stream = await openai.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-4o","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-4o","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-4o","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]
  /uploads:
    post:
      operationId: createUpload
      tags:
        - Uploads
      summary: >
        Creates an intermediate [Upload](/docs/api-reference/uploads/object)
        object

        that you can add [Parts](/docs/api-reference/uploads/part-object) to.

        Currently, an Upload can accept at most 8 GB in total and expires after
        an

        hour after you create it.


        Once you complete the Upload, we will create a

        [File](/docs/api-reference/files/object) object that contains all the
        parts

        you uploaded. This File is usable in the rest of our platform as a
        regular

        File object.


        For certain `purpose` values, the correct `mime_type` must be
        specified. 

        Please refer to documentation for the 

        [supported MIME types for your use
        case](/docs/assistants/tools/file-search#supported-files).


        For guidance on the proper filename extensions for each purpose, please

        follow the documentation on [creating a

        File](/docs/api-reference/files/create).
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateUploadRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Upload"
      x-oaiMeta:
        name: Create upload
        group: uploads
        returns: The [Upload](/docs/api-reference/uploads/object) object with status
          `pending`.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/uploads \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -d '{
                  "purpose": "fine-tune",
                  "filename": "training_examples.jsonl",
                  "bytes": 2147483648,
                  "mime_type": "text/jsonl"
                }'
          response: |
            {
              "id": "upload_abc123",
              "object": "upload",
              "bytes": 2147483648,
              "created_at": 1719184911,
              "filename": "training_examples.jsonl",
              "purpose": "fine-tune",
              "status": "pending",
              "expires_at": 1719127296
            }
  /uploads/{upload_id}/cancel:
    post:
      operationId: cancelUpload
      tags:
        - Uploads
      summary: |
        Cancels the Upload. No Parts may be added after an Upload is cancelled.
      parameters:
        - in: path
          name: upload_id
          required: true
          schema:
            type: string
            example: upload_abc123
          description: |
            The ID of the Upload.
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Upload"
      x-oaiMeta:
        name: Cancel upload
        group: uploads
        returns: The [Upload](/docs/api-reference/uploads/object) object with status
          `cancelled`.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/uploads/upload_abc123/cancel
          response: |
            {
              "id": "upload_abc123",
              "object": "upload",
              "bytes": 2147483648,
              "created_at": 1719184911,
              "filename": "training_examples.jsonl",
              "purpose": "fine-tune",
              "status": "cancelled",
              "expires_at": 1719127296
            }
  /uploads/{upload_id}/complete:
    post:
      operationId: completeUpload
      tags:
        - Uploads
      summary: >
        Completes the [Upload](/docs/api-reference/uploads/object). 


        Within the returned Upload object, there is a nested
        [File](/docs/api-reference/files/object) object that is ready to use in
        the rest of the platform.


        You can specify the order of the Parts by passing in an ordered list of
        the Part IDs.


        The number of bytes uploaded upon completion must match the number of
        bytes initially specified when creating the Upload object. No Parts may
        be added after an Upload is completed.
      parameters:
        - in: path
          name: upload_id
          required: true
          schema:
            type: string
            example: upload_abc123
          description: |
            The ID of the Upload.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CompleteUploadRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Upload"
      x-oaiMeta:
        name: Complete upload
        group: uploads
        returns: The [Upload](/docs/api-reference/uploads/object) object with status
          `completed` with an additional `file` property containing the created
          usable File object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/uploads/upload_abc123/complete
                -d '{
                  "part_ids": ["part_def456", "part_ghi789"]
                }'
          response: |
            {
              "id": "upload_abc123",
              "object": "upload",
              "bytes": 2147483648,
              "created_at": 1719184911,
              "filename": "training_examples.jsonl",
              "purpose": "fine-tune",
              "status": "completed",
              "expires_at": 1719127296,
              "file": {
                "id": "file-xyz321",
                "object": "file",
                "bytes": 2147483648,
                "created_at": 1719186911,
                "filename": "training_examples.jsonl",
                "purpose": "fine-tune",
              }
            }
  /uploads/{upload_id}/parts:
    post:
      operationId: addUploadPart
      tags:
        - Uploads
      summary: >
        Adds a [Part](/docs/api-reference/uploads/part-object) to an
        [Upload](/docs/api-reference/uploads/object) object. A Part represents a
        chunk of bytes from the file you are trying to upload. 


        Each Part can be at most 64 MB, and you can add Parts until you hit the
        Upload maximum of 8 GB.


        It is possible to add multiple Parts in parallel. You can decide the
        intended order of the Parts when you [complete the
        Upload](/docs/api-reference/uploads/complete).
      parameters:
        - in: path
          name: upload_id
          required: true
          schema:
            type: string
            example: upload_abc123
          description: |
            The ID of the Upload.
      requestBody:
        required: true
        content:
          multipart/form-data:
            schema:
              $ref: "#/components/schemas/AddUploadPartRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UploadPart"
      x-oaiMeta:
        name: Add upload part
        group: uploads
        returns: The upload [Part](/docs/api-reference/uploads/part-object) object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/uploads/upload_abc123/parts
                -F data="aHR0cHM6Ly9hcGkub3BlbmFpLmNvbS92MS91cGxvYWRz..."
          response: |
            {
              "id": "part_def456",
              "object": "upload.part",
              "created_at": 1719185911,
              "upload_id": "upload_abc123"
            }
  /vector_stores:
    get:
      operationId: listVectorStores
      tags:
        - Vector stores
      summary: Returns a list of vector stores.
      parameters:
        - name: limit
          in: query
          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: >
            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: >
            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: >
            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, starting 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/ListVectorStoresResponse"
      x-oaiMeta:
        name: List vector stores
        group: vector_stores
        returns: A list of [vector store](/docs/api-reference/vector-stores/object)
          objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

              vector_stores = client.vector_stores.list()
              print(vector_stores)
            node.js: |
              import OpenAI from "openai";
              const openai = new OpenAI();

              async function main() {
                const vectorStores = await openai.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
        returns: A [vector store](/docs/api-reference/vector-stores/object) object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2" \
                -d '{
                  "name": "Support FAQ"
                }'
            python: |
              from openai import OpenAI
              client = OpenAI()

              vector_store = client.vector_stores.create(
                name="Support FAQ"
              )
              print(vector_store)
            node.js: |
              import OpenAI from "openai";
              const openai = new OpenAI();

              async function main() {
                const vectorStore = await openai.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
        returns: The [vector store](/docs/api-reference/vector-stores/object) object
          matching the specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

              vector_store = client.vector_stores.retrieve(
                vector_store_id="vs_abc123"
              )
              print(vector_store)
            node.js: |
              import OpenAI from "openai";
              const openai = new OpenAI();

              async function main() {
                const vectorStore = await openai.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
        returns: The modified [vector store](/docs/api-reference/vector-stores/object)
          object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
                -d '{
                  "name": "Support FAQ"
                }'
            python: |
              from openai import OpenAI
              client = OpenAI()

              vector_store = client.vector_stores.update(
                vector_store_id="vs_abc123",
                name="Support FAQ"
              )
              print(vector_store)
            node.js: |
              import OpenAI from "openai";
              const openai = new OpenAI();

              async function main() {
                const vectorStore = await openai.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
        returns: Deletion status
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2" \
                -X DELETE
            python: |
              from openai import OpenAI
              client = OpenAI()

              deleted_vector_store = client.vector_stores.delete(
                vector_store_id="vs_abc123"
              )
              print(deleted_vector_store)
            node.js: |
              import OpenAI from "openai";
              const openai = new OpenAI();

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

              main();
          response: |
            {
              id: "vs_abc123",
              object: "vector_store.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
        returns: A [vector store file
          batch](/docs/api-reference/vector-stores-file-batches/batch-object)
          object.
        examples:
          request:
            curl: >
              curl
              https://api.openai.com/v1/vector_stores/vs_abc123/file_batches \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -H "Content-Type: application/json \
                  -H "OpenAI-Beta: assistants=v2" \
                  -d '{
                    "file_ids": ["file-abc123", "file-abc456"]
                  }'
            python: >
              from openai import OpenAI

              client = OpenAI()


              vector_store_file_batch =
              client.vector_stores.file_batches.create(
                vector_store_id="vs_abc123",
                file_ids=["file-abc123", "file-abc456"]
              )

              print(vector_store_file_batch)
            node.js: >
              import OpenAI from "openai";

              const openai = new OpenAI();


              async function main() {
                const myVectorStoreFileBatch = await openai.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
        returns: The [vector store file
          batch](/docs/api-reference/vector-stores-file-batches/batch-object)
          object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
            python: >
              from openai import OpenAI

              client = OpenAI()


              vector_store_file_batch =
              client.vector_stores.file_batches.retrieve(
                vector_store_id="vs_abc123",
                batch_id="vsfb_abc123"
              )

              print(vector_store_file_batch)
            node.js: >
              import OpenAI from "openai";

              const openai = new OpenAI();


              async function main() {
                const vectorStoreFileBatch = await openai.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
        returns: The modified vector store file batch object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/cancel \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2" \
                -X POST
            python: >
              from openai import OpenAI

              client = OpenAI()


              deleted_vector_store_file_batch =
              client.vector_stores.file_batches.cancel(
                  vector_store_id="vs_abc123",
                  file_batch_id="vsfb_abc123"
              )

              print(deleted_vector_store_file_batch)
            node.js: >
              import OpenAI from "openai";

              const openai = new OpenAI();


              async function main() {
                const deletedVectorStoreFileBatch = await openai.vectorStores.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": "in_progress",
              "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: >
            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: >
            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: >
            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: >
            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, starting with obj_foo, your
            subsequent call can include before=obj_foo in order to fetch the
            previous page of the list.
          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
        returns: A list of [vector store
          file](/docs/api-reference/vector-stores-files/file-object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/files \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

              vector_store_files = client.vector_stores.file_batches.list_files(
                vector_store_id="vs_abc123",
                batch_id="vsfb_abc123"
              )
              print(vector_store_files)
            node.js: >
              import OpenAI from "openai";

              const openai = new OpenAI();


              async function main() {
                const vectorStoreFiles = await openai.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
            }
  /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: >
            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: >
            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: >
            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: >
            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, starting with obj_foo, your
            subsequent call can include before=obj_foo in order to fetch the
            previous page of the list.
          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
        returns: A list of [vector store
          file](/docs/api-reference/vector-stores-files/file-object) objects.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123/files \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

              vector_store_files = client.vector_stores.files.list(
                vector_store_id="vs_abc123"
              )
              print(vector_store_files)
            node.js: |
              import OpenAI from "openai";
              const openai = new OpenAI();

              async function main() {
                const vectorStoreFiles = await openai.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](/docs/api-reference/files) to a [vector
        store](/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
        returns: A [vector store
          file](/docs/api-reference/vector-stores-files/file-object) object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123/files \
                  -H "Authorization: Bearer $OPENAI_API_KEY" \
                  -H "Content-Type: application/json" \
                  -H "OpenAI-Beta: assistants=v2" \
                  -d '{
                    "file_id": "file-abc123"
                  }'
            python: |
              from openai import OpenAI
              client = OpenAI()

              vector_store_file = client.vector_stores.files.create(
                vector_store_id="vs_abc123",
                file_id="file-abc123"
              )
              print(vector_store_file)
            node.js: >
              import OpenAI from "openai";

              const openai = new OpenAI();


              async function main() {
                const myVectorStoreFile = await openai.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
        returns: The [vector store
          file](/docs/api-reference/vector-stores-files/file-object) object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

              vector_store_file = client.vector_stores.files.retrieve(
                vector_store_id="vs_abc123",
                file_id="file-abc123"
              )
              print(vector_store_file)
            node.js: >
              import OpenAI from "openai";

              const openai = new OpenAI();


              async function main() {
                const vectorStoreFile = await openai.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](/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
        returns: Deletion status
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2" \
                -X DELETE
            python: |
              from openai import OpenAI
              client = OpenAI()

              deleted_vector_store_file = client.vector_stores.files.delete(
                  vector_store_id="vs_abc123",
                  file_id="file-abc123"
              )
              print(deleted_vector_store_file)
            node.js: >
              import OpenAI from "openai";

              const openai = new OpenAI();


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


              main();
          response: |
            {
              id: "file-abc123",
              object: "vector_store.file.deleted",
              deleted: true
            }
    post:
      operationId: updateVectorStoreFileAttributes
      tags:
        - Vector stores
      summary: Update attributes on 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 the file belongs to.
        - in: path
          name: file_id
          required: true
          schema:
            type: string
            example: file-abc123
          description: The ID of the file to update attributes.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/UpdateVectorStoreFileAttributesRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/VectorStoreFileObject"
      x-oaiMeta:
        name: Update vector store file attributes
        group: vector_stores
        returns: The updated [vector store
          file](/docs/api-reference/vector-stores-files/file-object) object.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/{vector_store_id}/files/{file_id} \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -d '{"attributes": {"key1": "value1", "key2": 2}}'
          response: |
            {
              "id": "file-abc123",
              "object": "vector_store.file",
              "usage_bytes": 1234,
              "created_at": 1699061776,
              "vector_store_id": "vs_abcd",
              "status": "completed",
              "last_error": null,
              "chunking_strategy": {...},
              "attributes": {"key1": "value1", "key2": 2}
            }
  /vector_stores/{vector_store_id}/files/{file_id}/content:
    get:
      operationId: retrieveVectorStoreFileContent
      tags:
        - Vector stores
      summary: Retrieve the parsed contents of 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.
        - in: path
          name: file_id
          required: true
          schema:
            type: string
            example: file-abc123
          description: The ID of the file within the vector store.
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/VectorStoreFileContentResponse"
      x-oaiMeta:
        name: Retrieve vector store file content
        group: vector_stores
        returns: The parsed contents of the specified vector store file.
        examples:
          request:
            curl: |
              curl \
              https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123/content \
              -H "Authorization: Bearer $OPENAI_API_KEY"
          response: |
            {
              "file_id": "file-abc123",
              "filename": "example.txt",
              "attributes": {"key": "value"},
              "content": [
                {"type": "text", "text": "..."},
                ...
              ]
            }
  /vector_stores/{vector_store_id}/search:
    post:
      operationId: searchVectorStore
      tags:
        - Vector stores
      summary: Search a vector store for relevant chunks based on a query and file
        attributes filter.
      parameters:
        - in: path
          name: vector_store_id
          required: true
          schema:
            type: string
            example: vs_abc123
          description: The ID of the vector store to search.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/VectorStoreSearchRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/VectorStoreSearchResultsPage"
      x-oaiMeta:
        name: Search vector store
        group: vector_stores
        returns: A page of search results from the vector store.
        examples:
          request:
            curl: |
              curl -X POST \
              https://api.openai.com/v1/vector_stores/vs_abc123/search \
              -H "Authorization: Bearer $OPENAI_API_KEY" \
              -H "Content-Type: application/json" \
              -d '{"query": "What is the return policy?", "filters": {...}}'
          response: |
            {
              "object": "vector_store.search_results.page",
              "search_query": "What is the return policy?",
              "data": [
                {
                  "file_id": "file_123",
                  "filename": "document.pdf",
                  "score": 0.95,
                  "attributes": {
                    "author": "John Doe",
                    "date": "2023-01-01"
                  },
                  "content": [
                    {
                      "type": "text",
                      "text": "Relevant chunk"
                    }
                  ]
                },
                {
                  "file_id": "file_456",
                  "filename": "notes.txt",
                  "score": 0.89,
                  "attributes": {
                    "author": "Jane Smith",
                    "date": "2023-01-02"
                  },
                  "content": [
                    {
                      "type": "text",
                      "text": "Sample text content from the vector store."
                    }
                  ]
                }
              ],
              "has_more": false,
              "next_page": null
            }
components:
  schemas:
    AddUploadPartRequest:
      type: object
      additionalProperties: false
      properties:
        data:
          description: |
            The chunk of bytes for this Part.
          type: string
          format: binary
      required:
        - data
    AdminApiKey:
      type: object
      description: Represents an individual Admin API key in an org.
      properties:
        object:
          type: string
          example: organization.admin_api_key
          description: The object type, which is always `organization.admin_api_key`
          x-stainless-const: true
        id:
          type: string
          example: key_abc
          description: The identifier, which can be referenced in API endpoints
        name:
          type: string
          example: Administration Key
          description: The name of the API key
        redacted_value:
          type: string
          example: sk-admin...def
          description: The redacted value of the API key
        value:
          type: string
          example: sk-admin-1234abcd
          description: The value of the API key. Only shown on create.
        created_at:
          type: integer
          format: int64
          example: 1711471533
          description: The Unix timestamp (in seconds) of when the API key was created
        last_used_at:
          type: integer
          format: int64
          nullable: true
          example: 1711471534
          description: The Unix timestamp (in seconds) of when the API key was last used
        owner:
          type: object
          properties:
            type:
              type: string
              example: user
              description: Always `user`
            object:
              type: string
              example: organization.user
              description: The object type, which is always organization.user
            id:
              type: string
              example: sa_456
              description: The identifier, which can be referenced in API endpoints
            name:
              type: string
              example: My Service Account
              description: The name of the user
            created_at:
              type: integer
              format: int64
              example: 1711471533
              description: The Unix timestamp (in seconds) of when the user was created
            role:
              type: string
              example: owner
              description: Always `owner`
      required:
        - object
        - redacted_value
        - name
        - created_at
        - last_used_at
        - id
        - owner
      x-oaiMeta:
        name: The admin API key object
        example: |
          {
            "object": "organization.admin_api_key",
            "id": "key_abc",
            "name": "Main Admin Key",
            "redacted_value": "sk-admin...xyz",
            "created_at": 1711471533,
            "last_used_at": 1711471534,
            "owner": {
              "type": "user",
              "object": "organization.user",
              "id": "user_123",
              "name": "John Doe",
              "created_at": 1711471533,
              "role": "owner"
            }
          }
    ApiKeyList:
      type: object
      properties:
        object:
          type: string
          example: list
        data:
          type: array
          items:
            $ref: "#/components/schemas/AdminApiKey"
        has_more:
          type: boolean
          example: false
        first_id:
          type: string
          example: key_abc
        last_id:
          type: string
          example: key_xyz
    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
          x-stainless-const: true
        created_at:
          description: The Unix timestamp (in seconds) for when the assistant was created.
          type: integer
        name:
          description: |
            The name of the assistant. The maximum length is 256 characters.
          type: string
          maxLength: 256
          nullable: true
        description:
          description: >
            The description of the assistant. The maximum length is 512
            characters.
          type: string
          maxLength: 512
          nullable: true
        model:
          description: >
            ID of the model to use. You can use the [List
            models](/docs/api-reference/models/list) API to see all of your
            available models, or see our [Model overview](/docs/models) for
            descriptions of them.
          type: string
        instructions:
          description: >
            The system instructions that the assistant uses. The maximum length
            is 256,000 characters.
          type: string
          maxLength: 256000
          nullable: true
        tools:
          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"
        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](/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](/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:
          $ref: "#/components/schemas/Metadata"
        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: >
            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: >
          {
            "id": "asst_abc123",
            "object": "assistant",
            "created_at": 1698984975,
            "name": "Math Tutor",
            "description": null,
            "model": "gpt-4o",
            "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"
          }
    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](/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
    AssistantSupportedModels:
      type: string
      enum:
        - gpt-4.1
        - gpt-4.1-mini
        - gpt-4.1-nano
        - gpt-4.1-2025-04-14
        - gpt-4.1-mini-2025-04-14
        - gpt-4.1-nano-2025-04-14
        - o3-mini
        - o3-mini-2025-01-31
        - o1
        - o1-2024-12-17
        - gpt-4o
        - gpt-4o-2024-11-20
        - gpt-4o-2024-08-06
        - gpt-4o-2024-05-13
        - gpt-4o-mini
        - gpt-4o-mini-2024-07-18
        - gpt-4.5-preview
        - gpt-4.5-preview-2025-02-27
        - 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
    AssistantToolsCode:
      type: object
      title: Code interpreter tool
      properties:
        type:
          type: string
          description: "The type of tool being defined: `code_interpreter`"
          enum:
            - code_interpreter
          x-stainless-const: true
      required:
        - type
    AssistantToolsFileSearch:
      type: object
      title: FileSearch tool
      properties:
        type:
          type: string
          description: "The type of tool being defined: `file_search`"
          enum:
            - file_search
          x-stainless-const: true
        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](/docs/assistants/tools/file-search#customizing-file-search-settings) for more information.
            ranking_options:
              $ref: "#/components/schemas/FileSearchRankingOptions"
      required:
        - type
    AssistantToolsFileSearchTypeOnly:
      type: object
      title: FileSearch tool
      properties:
        type:
          type: string
          description: "The type of tool being defined: `file_search`"
          enum:
            - file_search
          x-stainless-const: true
      required:
        - type
    AssistantToolsFunction:
      type: object
      title: Function tool
      properties:
        type:
          type: string
          description: "The type of tool being defined: `function`"
          enum:
            - function
          x-stainless-const: true
        function:
          $ref: "#/components/schemas/FunctionObject"
      required:
        - type
        - function
    AssistantsApiResponseFormatOption:
      description: >
        Specifies the format that the model must output. Compatible with
        [GPT-4o](/docs/models#gpt-4o), [GPT-4
        Turbo](/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_schema", "json_schema": {...} }` enables
        Structured Outputs which ensures the model will match your supplied JSON
        schema. Learn more in the [Structured Outputs
        guide](/docs/guides/structured-outputs).


        Setting to `{ "type": "json_object" }` enables JSON mode, which ensures
        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:
            - auto
          x-stainless-const: true
        - $ref: "#/components/schemas/ResponseFormatText"
        - $ref: "#/components/schemas/ResponseFormatJsonObject"
        - $ref: "#/components/schemas/ResponseFormatJsonSchema"
    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"
    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
    AudioResponseFormat:
      description: >
        The format of the output, in one of these options: `json`, `text`,
        `srt`, `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and
        `gpt-4o-mini-transcribe`, the only supported format is `json`.
      type: string
      enum:
        - json
        - text
        - srt
        - verbose_json
        - vtt
      default: json
    AuditLog:
      type: object
      description: A log of a user action or configuration change within this organization.
      properties:
        id:
          type: string
          description: The ID of this log.
        type:
          $ref: "#/components/schemas/AuditLogEventType"
        effective_at:
          type: integer
          description: The Unix timestamp (in seconds) of the event.
        project:
          type: object
          description: The project that the action was scoped to. Absent for actions not
            scoped to projects.
          properties:
            id:
              type: string
              description: The project ID.
            name:
              type: string
              description: The project title.
        actor:
          $ref: "#/components/schemas/AuditLogActor"
        api_key.created:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The tracking ID of the API key.
            data:
              type: object
              description: The payload used to create the API key.
              properties:
                scopes:
                  type: array
                  items:
                    type: string
                  description: A list of scopes allowed for the API key, e.g.
                    `["api.model.request"]`
        api_key.updated:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The tracking ID of the API key.
            changes_requested:
              type: object
              description: The payload used to update the API key.
              properties:
                scopes:
                  type: array
                  items:
                    type: string
                  description: A list of scopes allowed for the API key, e.g.
                    `["api.model.request"]`
        api_key.deleted:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The tracking ID of the API key.
        checkpoint_permission.created:
          type: object
          description: The project and fine-tuned model checkpoint that the checkpoint
            permission was created for.
          properties:
            id:
              type: string
              description: The ID of the checkpoint permission.
            data:
              type: object
              description: The payload used to create the checkpoint permission.
              properties:
                project_id:
                  type: string
                  description: The ID of the project that the checkpoint permission was created
                    for.
                fine_tuned_model_checkpoint:
                  type: string
                  description: The ID of the fine-tuned model checkpoint.
        checkpoint_permission.deleted:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The ID of the checkpoint permission.
        invite.sent:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The ID of the invite.
            data:
              type: object
              description: The payload used to create the invite.
              properties:
                email:
                  type: string
                  description: The email invited to the organization.
                role:
                  type: string
                  description: The role the email was invited to be. Is either `owner` or
                    `member`.
        invite.accepted:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The ID of the invite.
        invite.deleted:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The ID of the invite.
        login.failed:
          type: object
          description: The details for events with this `type`.
          properties:
            error_code:
              type: string
              description: The error code of the failure.
            error_message:
              type: string
              description: The error message of the failure.
        logout.failed:
          type: object
          description: The details for events with this `type`.
          properties:
            error_code:
              type: string
              description: The error code of the failure.
            error_message:
              type: string
              description: The error message of the failure.
        organization.updated:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The organization ID.
            changes_requested:
              type: object
              description: The payload used to update the organization settings.
              properties:
                title:
                  type: string
                  description: The organization title.
                description:
                  type: string
                  description: The organization description.
                name:
                  type: string
                  description: The organization name.
                settings:
                  type: object
                  properties:
                    threads_ui_visibility:
                      type: string
                      description: Visibility of the threads page which shows messages created with
                        the Assistants API and Playground. One of `ANY_ROLE`,
                        `OWNERS`, or `NONE`.
                    usage_dashboard_visibility:
                      type: string
                      description: Visibility of the usage dashboard which shows activity and costs
                        for your organization. One of `ANY_ROLE` or `OWNERS`.
        project.created:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The project ID.
            data:
              type: object
              description: The payload used to create the project.
              properties:
                name:
                  type: string
                  description: The project name.
                title:
                  type: string
                  description: The title of the project as seen on the dashboard.
        project.updated:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The project ID.
            changes_requested:
              type: object
              description: The payload used to update the project.
              properties:
                title:
                  type: string
                  description: The title of the project as seen on the dashboard.
        project.archived:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The project ID.
        rate_limit.updated:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The rate limit ID
            changes_requested:
              type: object
              description: The payload used to update the rate limits.
              properties:
                max_requests_per_1_minute:
                  type: integer
                  description: The maximum requests per minute.
                max_tokens_per_1_minute:
                  type: integer
                  description: The maximum tokens per minute.
                max_images_per_1_minute:
                  type: integer
                  description: The maximum images per minute. Only relevant for certain models.
                max_audio_megabytes_per_1_minute:
                  type: integer
                  description: The maximum audio megabytes per minute. Only relevant for certain
                    models.
                max_requests_per_1_day:
                  type: integer
                  description: The maximum requests per day. Only relevant for certain models.
                batch_1_day_max_input_tokens:
                  type: integer
                  description: The maximum batch input tokens per day. Only relevant for certain
                    models.
        rate_limit.deleted:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The rate limit ID
        service_account.created:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The service account ID.
            data:
              type: object
              description: The payload used to create the service account.
              properties:
                role:
                  type: string
                  description: The role of the service account. Is either `owner` or `member`.
        service_account.updated:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The service account ID.
            changes_requested:
              type: object
              description: The payload used to updated the service account.
              properties:
                role:
                  type: string
                  description: The role of the service account. Is either `owner` or `member`.
        service_account.deleted:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The service account ID.
        user.added:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The user ID.
            data:
              type: object
              description: The payload used to add the user to the project.
              properties:
                role:
                  type: string
                  description: The role of the user. Is either `owner` or `member`.
        user.updated:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The project ID.
            changes_requested:
              type: object
              description: The payload used to update the user.
              properties:
                role:
                  type: string
                  description: The role of the user. Is either `owner` or `member`.
        user.deleted:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The user ID.
        certificate.created:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The certificate ID.
            name:
              type: string
              description: The name of the certificate.
        certificate.updated:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The certificate ID.
            name:
              type: string
              description: The name of the certificate.
        certificate.deleted:
          type: object
          description: The details for events with this `type`.
          properties:
            id:
              type: string
              description: The certificate ID.
            name:
              type: string
              description: The name of the certificate.
            certificate:
              type: string
              description: The certificate content in PEM format.
        certificates.activated:
          type: object
          description: The details for events with this `type`.
          properties:
            certificates:
              type: array
              items:
                type: object
                properties:
                  id:
                    type: string
                    description: The certificate ID.
                  name:
                    type: string
                    description: The name of the certificate.
        certificates.deactivated:
          type: object
          description: The details for events with this `type`.
          properties:
            certificates:
              type: array
              items:
                type: object
                properties:
                  id:
                    type: string
                    description: The certificate ID.
                  name:
                    type: string
                    description: The name of the certificate.
      required:
        - id
        - type
        - effective_at
        - actor
      x-oaiMeta:
        name: The audit log object
        example: >
          {
              "id": "req_xxx_20240101",
              "type": "api_key.created",
              "effective_at": 1720804090,
              "actor": {
                  "type": "session",
                  "session": {
                      "user": {
                          "id": "user-xxx",
                          "email": "[email protected]"
                      },
                      "ip_address": "127.0.0.1",
                      "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
                  }
              },
              "api_key.created": {
                  "id": "key_xxxx",
                  "data": {
                      "scopes": ["resource.operation"]
                  }
              }
          }
    AuditLogActor:
      type: object
      description: The actor who performed the audit logged action.
      properties:
        type:
          type: string
          description: The type of actor. Is either `session` or `api_key`.
          enum:
            - session
            - api_key
        session:
          $ref: "#/components/schemas/AuditLogActorSession"
        api_key:
          $ref: "#/components/schemas/AuditLogActorApiKey"
    AuditLogActorApiKey:
      type: object
      description: The API Key used to perform the audit logged action.
      properties:
        id:
          type: string
          description: The tracking id of the API key.
        type:
          type: string
          description: The type of API key. Can be either `user` or `service_account`.
          enum:
            - user
            - service_account
        user:
          $ref: "#/components/schemas/AuditLogActorUser"
        service_account:
          $ref: "#/components/schemas/AuditLogActorServiceAccount"
    AuditLogActorServiceAccount:
      type: object
      description: The service account that performed the audit logged action.
      properties:
        id:
          type: string
          description: The service account id.
    AuditLogActorSession:
      type: object
      description: The session in which the audit logged action was performed.
      properties:
        user:
          $ref: "#/components/schemas/AuditLogActorUser"
        ip_address:
          type: string
          description: The IP address from which the action was performed.
    AuditLogActorUser:
      type: object
      description: The user who performed the audit logged action.
      properties:
        id:
          type: string
          description: The user id.
        email:
          type: string
          description: The user email.
    AuditLogEventType:
      type: string
      description: The event type.
      enum:
        - api_key.created
        - api_key.updated
        - api_key.deleted
        - checkpoint_permission.created
        - checkpoint_permission.deleted
        - invite.sent
        - invite.accepted
        - invite.deleted
        - login.succeeded
        - login.failed
        - logout.succeeded
        - logout.failed
        - organization.updated
        - project.created
        - project.updated
        - project.archived
        - service_account.created
        - service_account.updated
        - service_account.deleted
        - rate_limit.updated
        - rate_limit.deleted
        - user.added
        - user.updated
        - user.deleted
    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
          x-stainless-const: true
      required:
        - type
    Batch:
      type: object
      properties:
        id:
          type: string
        object:
          type: string
          enum:
            - batch
          description: The object type, which is always `batch`.
          x-stainless-const: true
        endpoint:
          type: string
          description: The OpenAI 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:
          $ref: "#/components/schemas/Metadata"
      required:
        - id
        - object
        - endpoint
        - input_file_id
        - completion_window
        - status
        - created_at
      x-oaiMeta:
        name: The batch object
        example: |
          {
            "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",
            }
          }
    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.
          x-stainless-const: true
        url:
          type: string
          description: The OpenAI 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-4o-mini", "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 OpenAI API request. Please include
                this request ID when contacting 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-4o-mini", "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}
    Certificate:
      type: object
      description: Represents an individual `certificate` uploaded to the organization.
      properties:
        object:
          type: string
          enum:
            - certificate
            - organization.certificate
            - organization.project.certificate
          description: >
            The object type.


            - If creating, updating, or getting a specific certificate, the
            object type is `certificate`.

            - If listing, activating, or deactivating certificates for the
            organization, the object type is `organization.certificate`.

            - If listing, activating, or deactivating certificates for a
            project, the object type is `organization.project.certificate`.
          x-stainless-const: true
        id:
          type: string
          description: The identifier, which can be referenced in API endpoints
        name:
          type: string
          description: The name of the certificate.
        created_at:
          type: integer
          description: The Unix timestamp (in seconds) of when the certificate was uploaded.
        certificate_details:
          type: object
          properties:
            valid_at:
              type: integer
              description: The Unix timestamp (in seconds) of when the certificate becomes
                valid.
            expires_at:
              type: integer
              description: The Unix timestamp (in seconds) of when the certificate expires.
            content:
              type: string
              description: The content of the certificate in PEM format.
        active:
          type: boolean
          description: Whether the certificate is currently active at the specified scope.
            Not returned when getting details for a specific certificate.
      required:
        - object
        - id
        - name
        - created_at
        - certificate_details
      x-oaiMeta:
        name: The certificate object
        example: >
          {
            "object": "certificate",
            "id": "cert_abc",
            "name": "My Certificate",
            "created_at": 1234567,
            "certificate_details": {
              "valid_at": 1234567,
              "expires_at": 12345678,
              "content": "-----BEGIN CERTIFICATE----- MIIGAjCCA...6znFlOW+ -----END CERTIFICATE-----"
            }
          }
    ChatCompletionDeleted:
      type: object
      properties:
        object:
          type: string
          description: The type of object being deleted.
          enum:
            - chat.completion.deleted
          x-stainless-const: true
        id:
          type: string
          description: The ID of the chat completion that was deleted.
        deleted:
          type: boolean
          description: Whether the chat completion was deleted.
      required:
        - object
        - id
        - deleted
    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
    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
    ChatCompletionList:
      type: object
      title: ChatCompletionList
      description: |
        An object representing a list of Chat Completions.
      properties:
        object:
          type: string
          enum:
            - list
          default: list
          description: |
            The type of this object. It is always set to "list".
          x-stainless-const: true
        data:
          type: array
          description: |
            An array of chat completion objects.
          items:
            $ref: "#/components/schemas/CreateChatCompletionResponse"
        first_id:
          type: string
          description: The identifier of the first chat completion in the data array.
        last_id:
          type: string
          description: The identifier of the last chat completion in the data array.
        has_more:
          type: boolean
          description: Indicates whether there are more Chat Completions available.
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more
      x-oaiMeta:
        name: The chat completion list object
        group: chat
        example: >
          {
            "object": "list",
            "data": [
              {
                "object": "chat.completion",
                "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
                "model": "gpt-4o-2024-08-06",
                "created": 1738960610,
                "request_id": "req_ded8ab984ec4bf840f37566c1011c417",
                "tool_choice": null,
                "usage": {
                  "total_tokens": 31,
                  "completion_tokens": 18,
                  "prompt_tokens": 13
                },
                "seed": 4944116822809979520,
                "top_p": 1.0,
                "temperature": 1.0,
                "presence_penalty": 0.0,
                "frequency_penalty": 0.0,
                "system_fingerprint": "fp_50cad350e4",
                "input_user": null,
                "service_tier": "default",
                "tools": null,
                "metadata": {},
                "choices": [
                  {
                    "index": 0,
                    "message": {
                      "content": "Mind of circuits hum,  \nLearning patterns in silence—  \nFuture's quiet spark.",
                      "role": "assistant",
                      "tool_calls": null,
                      "function_call": null
                    },
                    "finish_reason": "stop",
                    "logprobs": null
                  }
                ],
                "response_format": null
              }
            ],
            "first_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
            "last_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
            "has_more": false
          }
    ChatCompletionMessageList:
      type: object
      title: ChatCompletionMessageList
      description: |
        An object representing a list of chat completion messages.
      properties:
        object:
          type: string
          enum:
            - list
          default: list
          description: |
            The type of this object. It is always set to "list".
          x-stainless-const: true
        data:
          type: array
          description: |
            An array of chat completion message objects.
          items:
            allOf:
              - $ref: "#/components/schemas/ChatCompletionResponseMessage"
              - type: object
                required:
                  - id
                properties:
                  id:
                    type: string
                    description: The identifier of the chat message.
        first_id:
          type: string
          description: The identifier of the first chat message in the data array.
        last_id:
          type: string
          description: The identifier of the last chat message in the data array.
        has_more:
          type: boolean
          description: Indicates whether there are more chat messages available.
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more
      x-oaiMeta:
        name: The chat completion message list object
        group: chat
        example: |
          {
            "object": "list",
            "data": [
              {
                "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
                "role": "user",
                "content": "write a haiku about ai",
                "name": null,
                "content_parts": null
              }
            ],
            "first_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
            "last_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
            "has_more": false
          }
    ChatCompletionMessageToolCall:
      type: object
      properties:
        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.
          x-stainless-const: true
        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.
          x-stainless-const: true
        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
    ChatCompletionMessageToolCalls:
      type: array
      description: The tool calls generated by the model, such as function calls.
      items:
        $ref: "#/components/schemas/ChatCompletionMessageToolCall"
    ChatCompletionModalities:
      type: array
      nullable: true
      description: >
        Output types that you would like the model to generate for this request.

        Most models are capable of generating text, which is the default:


        `["text"]`


        The `gpt-4o-audio-preview` model can also be used to [generate
        audio](/docs/guides/audio). To

        request that this model generate both text and audio responses, you can

        use:


        `["text", "audio"]`
      items:
        type: string
        enum:
          - text
          - audio
    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.
          x-stainless-const: true
        function:
          type: object
          properties:
            name:
              type: string
              description: The name of the function to call.
          required:
            - name
      required:
        - type
        - function
    ChatCompletionRequestAssistantMessage:
      type: object
      title: Assistant message
      description: |
        Messages sent by the model in response to user messages.
      properties:
        content:
          nullable: true
          oneOf:
            - type: string
              description: The contents of the assistant message.
              title: Text content
            - type: array
              description: An array of content parts with a defined type. Can be one or more
                of type `text`, or exactly one of type `refusal`.
              title: Array of content parts
              items:
                $ref: "#/components/schemas/ChatCompletionRequestAssistantMessageContentPart"
              minItems: 1
          description: >
            The contents of the assistant message. Required unless `tool_calls`
            or `function_call` is specified.
        refusal:
          nullable: true
          type: string
          description: The refusal message by the assistant.
        role:
          type: string
          enum:
            - assistant
          description: The role of the messages author, in this case `assistant`.
          x-stainless-const: true
        name:
          type: string
          description: An optional name for the participant. Provides the model
            information to differentiate between participants of the same role.
        audio:
          type: object
          nullable: true
          description: |
            Data about a previous audio response from the model. 
            [Learn more](/docs/guides/audio).
          required:
            - id
          properties:
            id:
              type: string
              description: |
                Unique identifier for a previous audio response from the model.
        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
    ChatCompletionRequestAssistantMessageContentPart:
      oneOf:
        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartRefusal"
    ChatCompletionRequestDeveloperMessage:
      type: object
      title: Developer message
      description: >
        Developer-provided instructions that the model should follow, regardless
        of

        messages sent by the user. With o1 models and newer, `developer`
        messages

        replace the previous `system` messages.
      properties:
        content:
          description: The contents of the developer message.
          oneOf:
            - type: string
              description: The contents of the developer message.
              title: Text content
            - type: array
              description: An array of content parts with a defined type. For developer
                messages, only type `text` is supported.
              title: Array of content parts
              items:
                $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
              minItems: 1
        role:
          type: string
          enum:
            - developer
          description: The role of the messages author, in this case `developer`.
          x-stainless-const: true
        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
    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`.
          x-stainless-const: true
        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
    ChatCompletionRequestMessage:
      oneOf:
        - $ref: "#/components/schemas/ChatCompletionRequestDeveloperMessage"
        - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage"
        - $ref: "#/components/schemas/ChatCompletionRequestUserMessage"
        - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage"
        - $ref: "#/components/schemas/ChatCompletionRequestToolMessage"
        - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage"
    ChatCompletionRequestMessageContentPartAudio:
      type: object
      title: Audio content part
      description: |
        Learn about [audio inputs](/docs/guides/audio).
      properties:
        type:
          type: string
          enum:
            - input_audio
          description: The type of the content part. Always `input_audio`.
          x-stainless-const: true
        input_audio:
          type: object
          properties:
            data:
              type: string
              description: Base64 encoded audio data.
            format:
              type: string
              enum:
                - wav
                - mp3
              description: >
                The format of the encoded audio data. Currently supports "wav"
                and "mp3".
          required:
            - data
            - format
      required:
        - type
        - input_audio
    ChatCompletionRequestMessageContentPartFile:
      type: object
      title: File content part
      description: |
        Learn about [file inputs](/docs/guides/text) for text generation.
      properties:
        type:
          type: string
          enum:
            - file
          description: The type of the content part. Always `file`.
          x-stainless-const: true
        file:
          type: object
          properties:
            filename:
              type: string
              description: >
                The name of the file, used when passing the file to the model as
                a 

                string.
            file_data:
              type: string
              description: >
                The base64 encoded file data, used when passing the file to the
                model 

                as a string.
            file_id:
              type: string
              description: |
                The ID of an uploaded file to use as input.
      required:
        - type
        - file
    ChatCompletionRequestMessageContentPartImage:
      type: object
      title: Image content part
      description: |
        Learn about [image inputs](/docs/guides/vision).
      properties:
        type:
          type: string
          enum:
            - image_url
          description: The type of the content part.
          x-stainless-const: true
        image_url:
          type: object
          properties:
            url:
              type: string
              description: Either a URL of the image or the base64 encoded image data.
              format: uri
            detail:
              type: string
              description: Specifies the detail level of the image. Learn more in the [Vision
                guide](/docs/guides/vision#low-or-high-fidelity-image-understanding).
              enum:
                - auto
                - low
                - high
          required:
            - url
      required:
        - type
        - image_url
    ChatCompletionRequestMessageContentPartRefusal:
      type: object
      title: Refusal content part
      properties:
        type:
          type: string
          enum:
            - refusal
          description: The type of the content part.
          x-stainless-const: true
        refusal:
          type: string
          description: The refusal message generated by the model.
      required:
        - type
        - refusal
    ChatCompletionRequestMessageContentPartText:
      type: object
      title: Text content part
      description: |
        Learn about [text inputs](/docs/guides/text-generation).
      properties:
        type:
          type: string
          enum:
            - text
          description: The type of the content part.
          x-stainless-const: true
        text:
          type: string
          description: The text content.
      required:
        - type
        - text
    ChatCompletionRequestSystemMessage:
      type: object
      title: System message
      description: >
        Developer-provided instructions that the model should follow, regardless
        of

        messages sent by the user. With o1 models and newer, use `developer`
        messages

        for this purpose instead.
      properties:
        content:
          description: The contents of the system message.
          oneOf:
            - type: string
              description: The contents of the system message.
              title: Text content
            - type: array
              description: An array of content parts with a defined type. For system messages,
                only type `text` is supported.
              title: Array of content parts
              items:
                $ref: "#/components/schemas/ChatCompletionRequestSystemMessageContentPart"
              minItems: 1
        role:
          type: string
          enum:
            - system
          description: The role of the messages author, in this case `system`.
          x-stainless-const: true
        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
    ChatCompletionRequestSystemMessageContentPart:
      oneOf:
        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
    ChatCompletionRequestToolMessage:
      type: object
      title: Tool message
      properties:
        role:
          type: string
          enum:
            - tool
          description: The role of the messages author, in this case `tool`.
          x-stainless-const: true
        content:
          oneOf:
            - type: string
              description: The contents of the tool message.
              title: Text content
            - type: array
              description: An array of content parts with a defined type. For tool messages,
                only type `text` is supported.
              title: Array of content parts
              items:
                $ref: "#/components/schemas/ChatCompletionRequestToolMessageContentPart"
              minItems: 1
          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
    ChatCompletionRequestToolMessageContentPart:
      oneOf:
        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
    ChatCompletionRequestUserMessage:
      type: object
      title: User message
      description: |
        Messages sent by an end user, containing prompts or additional context
        information.
      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. Supported options
                differ based on the [model](/docs/models) being used to generate
                the response. Can contain text, image, or audio inputs.
              title: Array of content parts
              items:
                $ref: "#/components/schemas/ChatCompletionRequestUserMessageContentPart"
              minItems: 1
        role:
          type: string
          enum:
            - user
          description: The role of the messages author, in this case `user`.
          x-stainless-const: true
        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
    ChatCompletionRequestUserMessageContentPart:
      oneOf:
        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartImage"
        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartAudio"
        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartFile"
    ChatCompletionResponseMessage:
      type: object
      description: A chat completion message generated by the model.
      properties:
        content:
          type: string
          description: The contents of the message.
          nullable: true
        refusal:
          type: string
          description: The refusal message generated by the model.
          nullable: true
        tool_calls:
          $ref: "#/components/schemas/ChatCompletionMessageToolCalls"
        annotations:
          type: array
          description: |
            Annotations for the message, when applicable, as when using the
            [web search tool](/docs/guides/tools-web-search?api-mode=chat).
          items:
            type: object
            description: |
              A URL citation when using web search.
            required:
              - type
              - url_citation
            properties:
              type:
                type: string
                description: The type of the URL citation. Always `url_citation`.
                enum:
                  - url_citation
                x-stainless-const: true
              url_citation:
                type: object
                description: A URL citation when using web search.
                required:
                  - end_index
                  - start_index
                  - url
                  - title
                properties:
                  end_index:
                    type: integer
                    description: The index of the last character of the URL citation in the message.
                  start_index:
                    type: integer
                    description: The index of the first character of the URL citation in the
                      message.
                  url:
                    type: string
                    description: The URL of the web resource.
                  title:
                    type: string
                    description: The title of the web resource.
        role:
          type: string
          enum:
            - assistant
          description: The role of the author of this message.
          x-stainless-const: true
        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
        audio:
          type: object
          nullable: true
          description: >
            If the audio output modality is requested, this object contains data

            about the audio response from the model. [Learn
            more](/docs/guides/audio).
          required:
            - id
            - expires_at
            - data
            - transcript
          properties:
            id:
              type: string
              description: Unique identifier for this audio response.
            expires_at:
              type: integer
              description: >
                The Unix timestamp (in seconds) for when this audio response
                will

                no longer be accessible on the server for use in multi-turn

                conversations.
            data:
              type: string
              description: |
                Base64 encoded audio bytes generated by the model, in the format
                specified in the request.
            transcript:
              type: string
              description: Transcript of the audio generated by the model.
      required:
        - role
        - content
        - refusal
    ChatCompletionRole:
      type: string
      description: The role of the author of a message
      enum:
        - developer
        - 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. **NOTE:** If the stream is interrupted, you may not receive
            the

            final usage chunk which contains the total token usage for the
            request.
    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:
            - developer
            - system
            - user
            - assistant
            - tool
          description: The role of the author of this message.
        refusal:
          type: string
          description: The refusal message generated by the model.
          nullable: true
    ChatCompletionTokenLogprob:
      type: object
      properties:
        token:
          description: The token.
          type: string
        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:
          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:
                description: The token.
                type: string
              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:
                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
            required:
              - token
              - logprob
              - bytes
      required:
        - token
        - logprob
        - bytes
        - top_logprobs
    ChatCompletionTool:
      type: object
      properties:
        type:
          type: string
          enum:
            - function
          description: The type of the tool. Currently, only `function` is supported.
          x-stainless-const: true
        function:
          $ref: "#/components/schemas/FunctionObject"
      required:
        - type
        - function
    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"
    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"
    Click:
      type: object
      title: Click
      description: |
        A click action.
      properties:
        type:
          type: string
          enum:
            - click
          default: click
          description: |
            Specifies the event type. For a click action, this property is 
            always set to `click`.
          x-stainless-const: true
        button:
          type: string
          enum:
            - left
            - right
            - wheel
            - back
            - forward
          description: >
            Indicates which mouse button was pressed during the click. One of
            `left`, `right`, `wheel`, `back`, or `forward`.
        x:
          type: integer
          description: |
            The x-coordinate where the click occurred.
        y:
          type: integer
          description: |
            The y-coordinate where the click occurred.
      required:
        - type
        - button
        - x
        - y
    CodeInterpreterFileOutput:
      type: object
      title: Code interpreter file output
      description: |
        The output of a code interpreter tool call that is a file.
      properties:
        type:
          type: string
          enum:
            - files
          description: |
            The type of the code interpreter file output. Always `files`.
          x-stainless-const: true
        files:
          type: array
          items:
            type: object
            properties:
              mime_type:
                type: string
                description: |
                  The MIME type of the file.
              file_id:
                type: string
                description: |
                  The ID of the file.
            required:
              - mime_type
              - file_id
      required:
        - type
        - files
    CodeInterpreterTextOutput:
      type: object
      title: Code interpreter text output
      description: |
        The output of a code interpreter tool call that is text.
      properties:
        type:
          type: string
          enum:
            - logs
          description: |
            The type of the code interpreter text output. Always `logs`.
          x-stainless-const: true
        logs:
          type: string
          description: |
            The logs of the code interpreter tool call.
      required:
        - type
        - logs
    CodeInterpreterToolCall:
      type: object
      title: Code interpreter tool call
      description: |
        A tool call to run code.
      properties:
        id:
          type: string
          description: |
            The unique ID of the code interpreter tool call.
        type:
          type: string
          enum:
            - code_interpreter_call
          description: >
            The type of the code interpreter tool call. Always
            `code_interpreter_call`.
          x-stainless-const: true
        code:
          type: string
          description: |
            The code to run.
        status:
          type: string
          enum:
            - in_progress
            - interpreting
            - completed
          description: |
            The status of the code interpreter tool call.
        results:
          type: array
          items:
            $ref: "#/components/schemas/CodeInterpreterToolOutput"
          description: |
            The results of the code interpreter tool call.
      required:
        - id
        - type
        - code
        - status
        - results
    CodeInterpreterToolOutput:
      oneOf:
        - $ref: "#/components/schemas/CodeInterpreterTextOutput"
        - $ref: "#/components/schemas/CodeInterpreterFileOutput"
    ComparisonFilter:
      type: object
      additionalProperties: false
      title: Comparison Filter
      description: >
        A filter used to compare a specified attribute key to a given value
        using a defined comparison operation.
      properties:
        type:
          type: string
          default: eq
          enum:
            - eq
            - ne
            - gt
            - gte
            - lt
            - lte
          description: >
            Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`,
            `lte`.

            - `eq`: equals

            - `ne`: not equal

            - `gt`: greater than

            - `gte`: greater than or equal

            - `lt`: less than

            - `lte`: less than or equal
        key:
          type: string
          description: The key to compare against the value.
        value:
          oneOf:
            - type: string
            - type: number
            - type: boolean
          description: The value to compare against the attribute key; supports string,
            number, or boolean types.
      required:
        - type
        - key
        - value
      x-oaiMeta:
        name: ComparisonFilter
    CompleteUploadRequest:
      type: object
      additionalProperties: false
      properties:
        part_ids:
          type: array
          description: |
            The ordered list of Part IDs.
          items:
            type: string
        md5:
          description: >
            The optional md5 checksum for the file contents to verify if the
            bytes uploaded matches what you expect.
          type: string
      required:
        - part_ids
    CompletionUsage:
      type: object
      description: Usage statistics for the completion request.
      properties:
        completion_tokens:
          type: integer
          default: 0
          description: Number of tokens in the generated completion.
        prompt_tokens:
          type: integer
          default: 0
          description: Number of tokens in the prompt.
        total_tokens:
          type: integer
          default: 0
          description: Total number of tokens used in the request (prompt + completion).
        completion_tokens_details:
          type: object
          description: Breakdown of tokens used in a completion.
          properties:
            accepted_prediction_tokens:
              type: integer
              default: 0
              description: |
                When using Predicted Outputs, the number of tokens in the
                prediction that appeared in the completion.
            audio_tokens:
              type: integer
              default: 0
              description: Audio input tokens generated by the model.
            reasoning_tokens:
              type: integer
              default: 0
              description: Tokens generated by the model for reasoning.
            rejected_prediction_tokens:
              type: integer
              default: 0
              description: >
                When using Predicted Outputs, the number of tokens in the

                prediction that did not appear in the completion. However, like

                reasoning tokens, these tokens are still counted in the total

                completion tokens for purposes of billing, output, and context
                window

                limits.
        prompt_tokens_details:
          type: object
          description: Breakdown of tokens used in the prompt.
          properties:
            audio_tokens:
              type: integer
              default: 0
              description: Audio input tokens present in the prompt.
            cached_tokens:
              type: integer
              default: 0
              description: Cached tokens present in the prompt.
      required:
        - prompt_tokens
        - completion_tokens
        - total_tokens
    CompoundFilter:
      $recursiveAnchor: true
      type: object
      additionalProperties: false
      title: Compound Filter
      description: Combine multiple filters using `and` or `or`.
      properties:
        type:
          type: string
          description: "Type of operation: `and` or `or`."
          enum:
            - and
            - or
        filters:
          type: array
          description: Array of filters to combine. Items can be `ComparisonFilter` or
            `CompoundFilter`.
          items:
            oneOf:
              - $ref: "#/components/schemas/ComparisonFilter"
              - $recursiveRef: "#"
      required:
        - type
        - filters
      x-oaiMeta:
        name: CompoundFilter
    ComputerAction:
      oneOf:
        - $ref: "#/components/schemas/Click"
        - $ref: "#/components/schemas/DoubleClick"
        - $ref: "#/components/schemas/Drag"
        - $ref: "#/components/schemas/KeyPress"
        - $ref: "#/components/schemas/Move"
        - $ref: "#/components/schemas/Screenshot"
        - $ref: "#/components/schemas/Scroll"
        - $ref: "#/components/schemas/ActionType"
        - $ref: "#/components/schemas/Wait"
    ComputerScreenshotImage:
      type: object
      description: |
        A computer screenshot image used with the computer use tool.
      properties:
        type:
          type: string
          enum:
            - computer_screenshot
          default: computer_screenshot
          description: >
            Specifies the event type. For a computer screenshot, this property
            is 

            always set to `computer_screenshot`.
          x-stainless-const: true
        image_url:
          type: string
          description: The URL of the screenshot image.
        file_id:
          type: string
          description: The identifier of an uploaded file that contains the screenshot.
      required:
        - type
    ComputerToolCall:
      type: object
      title: Computer tool call
      description: >
        A tool call to a computer use tool. See the 

        [computer use guide](/docs/guides/tools-computer-use) for more
        information.
      properties:
        type:
          type: string
          description: The type of the computer call. Always `computer_call`.
          enum:
            - computer_call
          default: computer_call
        id:
          type: string
          description: The unique ID of the computer call.
        call_id:
          type: string
          description: |
            An identifier used when responding to the tool call with output.
        action:
          $ref: "#/components/schemas/ComputerAction"
        pending_safety_checks:
          type: array
          items:
            $ref: "#/components/schemas/ComputerToolCallSafetyCheck"
          description: |
            The pending safety checks for the computer call.
        status:
          type: string
          description: |
            The status of the item. One of `in_progress`, `completed`, or
            `incomplete`. Populated when items are returned via API.
          enum:
            - in_progress
            - completed
            - incomplete
      required:
        - type
        - id
        - action
        - call_id
        - pending_safety_checks
        - status
    ComputerToolCallOutput:
      type: object
      title: Computer tool call output
      description: |
        The output of a computer tool call.
      properties:
        type:
          type: string
          description: >
            The type of the computer tool call output. Always
            `computer_call_output`.
          enum:
            - computer_call_output
          default: computer_call_output
          x-stainless-const: true
        id:
          type: string
          description: |
            The ID of the computer tool call output.
        call_id:
          type: string
          description: |
            The ID of the computer tool call that produced the output.
        acknowledged_safety_checks:
          type: array
          description: >
            The safety checks reported by the API that have been acknowledged by
            the 

            developer.
          items:
            $ref: "#/components/schemas/ComputerToolCallSafetyCheck"
        output:
          $ref: "#/components/schemas/ComputerScreenshotImage"
        status:
          type: string
          description: >
            The status of the message input. One of `in_progress`, `completed`,
            or

            `incomplete`. Populated when input items are returned via API.
          enum:
            - in_progress
            - completed
            - incomplete
      required:
        - type
        - call_id
        - output
    ComputerToolCallOutputResource:
      allOf:
        - $ref: "#/components/schemas/ComputerToolCallOutput"
        - type: object
          properties:
            id:
              type: string
              description: |
                The unique ID of the computer call tool output.
          required:
            - id
    ComputerToolCallSafetyCheck:
      type: object
      description: |
        A pending safety check for the computer call.
      properties:
        id:
          type: string
          description: The ID of the pending safety check.
        code:
          type: string
          description: The type of the pending safety check.
        message:
          type: string
          description: Details about the pending safety check.
      required:
        - id
        - code
        - message
    Content:
      description: |
        Multi-modal input and output contents.
      oneOf:
        - title: Input content types
          $ref: "#/components/schemas/InputContent"
        - title: Output content types
          $ref: "#/components/schemas/OutputContent"
    Coordinate:
      type: object
      title: Coordinate
      description: |
        An x/y coordinate pair, e.g. `{ x: 100, y: 200 }`.
      properties:
        x:
          type: integer
          description: |
            The x-coordinate.
        y:
          type: integer
          description: |
            The y-coordinate.
      required:
        - x
        - y
    CostsResult:
      type: object
      description: The aggregated costs details of the specific time bucket.
      properties:
        object:
          type: string
          enum:
            - organization.costs.result
          x-stainless-const: true
        amount:
          type: object
          description: The monetary value in its associated currency.
          properties:
            value:
              type: number
              description: The numeric value of the cost.
            currency:
              type: string
              description: Lowercase ISO-4217 currency e.g. "usd"
        line_item:
          type: string
          nullable: true
          description: When `group_by=line_item`, this field provides the line item of the
            grouped costs result.
        project_id:
          type: string
          nullable: true
          description: When `group_by=project_id`, this field provides the project ID of
            the grouped costs result.
      required:
        - object
      x-oaiMeta:
        name: Costs object
        example: |
          {
              "object": "organization.costs.result",
              "amount": {
                "value": 0.06,
                "currency": "usd"
              },
              "line_item": "Image models",
              "project_id": "proj_abc"
          }
    CreateAssistantRequest:
      type: object
      additionalProperties: false
      properties:
        model:
          description: >
            ID of the model to use. You can use the [List
            models](/docs/api-reference/models/list) API to see all of your
            available models, or see our [Model overview](/docs/models) for
            descriptions of them.
          example: gpt-4o
          anyOf:
            - type: string
            - $ref: "#/components/schemas/AssistantSupportedModels"
          x-oaiTypeLabel: string
        name:
          description: |
            The name of the assistant. The maximum length is 256 characters.
          type: string
          nullable: true
          maxLength: 256
        description:
          description: >
            The description of the assistant. The maximum length is 512
            characters.
          type: string
          nullable: true
          maxLength: 512
        instructions:
          description: >
            The system instructions that the assistant uses. The maximum length
            is 256,000 characters.
          type: string
          nullable: true
          maxLength: 256000
        reasoning_effort:
          $ref: "#/components/schemas/ReasoningEffort"
        tools:
          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"
        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](/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](/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](/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](/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:
                        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
                                x-stainless-const: true
                            required:
                              - type
                          - type: object
                            title: Static Chunking Strategy
                            additionalProperties: false
                            properties:
                              type:
                                type: string
                                description: Always `static`.
                                enum:
                                  - static
                                x-stainless-const: true
                              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
                      metadata:
                        $ref: "#/components/schemas/Metadata"
              oneOf:
                - required:
                    - vector_store_ids
                - required:
                    - vector_stores
          nullable: true
        metadata:
          $ref: "#/components/schemas/Metadata"
        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: >
            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:
        - model
    CreateChatCompletionRequest:
      allOf:
        - $ref: "#/components/schemas/CreateModelResponseProperties"
        - type: object
          properties:
            messages:
              description: >
                A list of messages comprising the conversation so far. Depending
                on the

                [model](/docs/models) you use, different message types
                (modalities) are

                supported, like [text](/docs/guides/text-generation),

                [images](/docs/guides/vision), and [audio](/docs/guides/audio).
              type: array
              minItems: 1
              items:
                $ref: "#/components/schemas/ChatCompletionRequestMessage"
            model:
              description: >
                Model ID used to generate the response, like `gpt-4o` or `o3`.
                OpenAI

                offers a wide range of models with different capabilities,
                performance

                characteristics, and price points. Refer to the [model
                guide](/docs/models)

                to browse and compare available models.
              $ref: "#/components/schemas/ModelIdsShared"
            modalities:
              $ref: "#/components/schemas/ResponseModalities"
            reasoning_effort:
              $ref: "#/components/schemas/ReasoningEffort"
            max_completion_tokens:
              description: >
                An upper bound for the number of tokens that can be generated
                for a completion, including visible output tokens and [reasoning
                tokens](/docs/guides/reasoning).
              type: integer
              nullable: true
            frequency_penalty:
              type: number
              default: 0
              minimum: -2
              maximum: 2
              nullable: true
              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.
            presence_penalty:
              type: number
              default: 0
              minimum: -2
              maximum: 2
              nullable: true
              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.
            web_search_options:
              type: object
              title: Web search
              description: >
                This tool searches the web for relevant results to use in a
                response.

                Learn more about the [web search
                tool](/docs/guides/tools-web-search?api-mode=chat).
              properties:
                user_location:
                  type: object
                  nullable: true
                  required:
                    - type
                    - approximate
                  description: |
                    Approximate location parameters for the search.
                  properties:
                    type:
                      type: string
                      description: >
                        The type of location approximation. Always `approximate`.
                      enum:
                        - approximate
                      x-stainless-const: true
                    approximate:
                      $ref: "#/components/schemas/WebSearchLocation"
                search_context_size:
                  $ref: "#/components/schemas/WebSearchContextSize"
            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
            response_format:
              description: >
                An object specifying the format that the model must output.


                Setting to `{ "type": "json_schema", "json_schema": {...} }`
                enables

                Structured Outputs which ensures the model will match your
                supplied JSON

                schema. Learn more in the [Structured Outputs

                guide](/docs/guides/structured-outputs).


                Setting to `{ "type": "json_object" }` enables the older JSON
                mode, which

                ensures the message the model generates is valid JSON. Using
                `json_schema`

                is preferred for models that support it.
              oneOf:
                - $ref: "#/components/schemas/ResponseFormatText"
                - $ref: "#/components/schemas/ResponseFormatJsonSchema"
                - $ref: "#/components/schemas/ResponseFormatJsonObject"
            audio:
              type: object
              nullable: true
              description: >
                Parameters for audio output. Required when audio output is
                requested with

                `modalities: ["audio"]`. [Learn more](/docs/guides/audio).
              required:
                - voice
                - format
              properties:
                voice:
                  $ref: "#/components/schemas/VoiceIdsShared"
                  description: >
                    The voice the model uses to respond. Supported voices are 

                    `alloy`, `ash`, `ballad`, `coral`, `echo`, `fable`, `nova`,
                    `onyx`, `sage`, and `shimmer`.
                format:
                  type: string
                  enum:
                    - wav
                    - aac
                    - mp3
                    - flac
                    - opus
                    - pcm16
                  description: >
                    Specifies the output audio format. Must be one of `wav`,
                    `mp3`, `flac`,

                    `opus`, or `pcm16`.
            store:
              type: boolean
              default: false
              nullable: true
              description: >
                Whether or not to store the output of this chat completion
                request for 

                use in our [model distillation](/docs/guides/distillation) or

                [evals](/docs/guides/evals) products.
            stream:
              description: |
                If set to true, the model response data will be streamed to the client
                as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
                See the [Streaming section below](/docs/api-reference/chat/streaming)
                for more information, along with the [streaming responses](/docs/guides/streaming-responses)
                guide for more information on how to handle the streaming events.
              type: boolean
              nullable: true
              default: false
            stop:
              $ref: "#/components/schemas/StopConfiguration"
            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
            max_tokens:
              description: >
                The maximum number of [tokens](/tokenizer) that can be generated
                in the

                chat completion. This value can be used to control

                [costs](https://openai.com/api/pricing/) for text generated via
                API.


                This value is now deprecated in favor of
                `max_completion_tokens`, and is

                not compatible with [o-series models](/docs/guides/reasoning).
              type: integer
              nullable: true
              deprecated: 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.
            prediction:
              nullable: true
              description: >
                Configuration for a [Predicted
                Output](/docs/guides/predicted-outputs),

                which can greatly improve response times when large parts of the
                model

                response are known ahead of time. This is most common when you
                are

                regenerating a file with only minor changes to most of the
                content.
              oneOf:
                - $ref: "#/components/schemas/PredictionContent"
            seed:
              type: integer
              minimum: -9223372036854776000
              maximum: 9223372036854776000
              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
            stream_options:
              $ref: "#/components/schemas/ChatCompletionStreamOptions"
            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"
            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"
            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: >
                  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:
                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
                  refusal:
                    description: A list of message refusal tokens with log probability information.
                    type: array
                    items:
                      $ref: "#/components/schemas/ChatCompletionTokenLogprob"
                    nullable: true
                required:
                  - content
                  - refusal
        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.
        service_tier:
          $ref: "#/components/schemas/ServiceTier"
        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
          x-stainless-const: true
        usage:
          $ref: "#/components/schemas/CompletionUsage"
      required:
        - choices
        - created
        - id
        - model
        - object
      x-oaiMeta:
        name: The chat completion object
        group: chat
        example: >
          {
            "id": "chatcmpl-B9MHDbslfkBeAs8l4bebGdFOJ6PeG",
            "object": "chat.completion",
            "created": 1741570283,
            "model": "gpt-4o-2024-08-06",
            "choices": [
              {
                "index": 0,
                "message": {
                  "role": "assistant",
                  "content": "The image shows a wooden boardwalk path running through a lush green field or meadow. The sky is bright blue with some scattered clouds, giving the scene a serene and peaceful atmosphere. Trees and shrubs are visible in the background.",
                  "refusal": null,
                  "annotations": []
                },
                "logprobs": null,
                "finish_reason": "stop"
              }
            ],
            "usage": {
              "prompt_tokens": 1117,
              "completion_tokens": 46,
              "total_tokens": 1163,
              "prompt_tokens_details": {
                "cached_tokens": 0,
                "audio_tokens": 0
              },
              "completion_tokens_details": {
                "reasoning_tokens": 0,
                "audio_tokens": 0,
                "accepted_prediction_tokens": 0,
                "rejected_prediction_tokens": 0
              }
            },
            "service_tier": "default",
            "system_fingerprint": "fp_fc9f1d7035"
          }
    CreateChatCompletionStreamResponse:
      type: object
      description: |
        Represents a streamed chunk of a chat completion response returned
        by the model, based on the provided input. 
        [Learn more](/docs/guides/streaming-responses).
      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:
                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
                  refusal:
                    description: A list of message refusal tokens with log probability information.
                    type: array
                    items:
                      $ref: "#/components/schemas/ChatCompletionTokenLogprob"
                    nullable: true
                required:
                  - content
                  - refusal
              finish_reason:
                type: string
                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
                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.
        service_tier:
          $ref: "#/components/schemas/ServiceTier"
        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
          x-stainless-const: true
        usage:
          $ref: "#/components/schemas/CompletionUsage"
          nullable: true
          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.


            **NOTE:** If the stream is interrupted or cancelled, you may not

            receive the final usage chunk which contains the total token usage
            for

            the request.
      required:
        - choices
        - created
        - id
        - model
        - object
      x-oaiMeta:
        name: The chat completion chunk object
        group: chat
        example: |
          {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "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-4o-mini", "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-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
    CreateCompletionRequest:
      type: object
      properties:
        model:
          description: >
            ID of the model to use. You can use the [List
            models](/docs/api-reference/models/list) API to see all of your
            available models, or see our [Model overview](/docs/models) for
            descriptions of them.
          anyOf:
            - type: string
            - type: string
              enum:
                - gpt-3.5-turbo-instruct
                - davinci-002
                - babbage-002
          x-oaiTypeLabel: string
        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: "null"
          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: >
            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: |
            Echo back the prompt in addition to the completion
        frequency_penalty:
          type: number
          default: 0
          minimum: -2
          maximum: 2
          nullable: true
          description: >
            Number between -2.0 and 2.0. Positive values penalize new tokens
            based on their existing frequency in the text so far, decreasing the
            model's likelihood to repeat the same line verbatim.


            [See more information about frequency and presence
            penalties.](/docs/guides/text-generation)
        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 GPT tokenizer) to an associated bias value from -100 to 100.
            You can use this [tokenizer tool](/tokenizer?view=bpe) to convert
            text to token IDs. Mathematically, the bias is added to the logits
            generated by the model prior to sampling. The exact effect will vary
            per model, but values between -1 and 1 should decrease or increase
            likelihood of selection; values like -100 or 100 should result in a
            ban or exclusive selection of the relevant token.


            As an example, you can pass `{"50256": -100}` to prevent the
            "<endoftext|> token from being generated.
        logprobs:
          type: integer
          minimum: 0
          maximum: 5
          default: null
          nullable: true
          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: |
            The maximum number of [tokens](/tokenizer) that can be generated in the completion.

            The token count of your prompt plus `max_tokens` cannot exceed the model's context length. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.
        n:
          type: integer
          minimum: 1
          maximum: 128
          default: 1
          example: 1
          nullable: true
          description: >
            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: >
            Number between -2.0 and 2.0. Positive values penalize new tokens
            based on whether they appear in the text so far, increasing the
            model's likelihood to talk about new topics.


            [See more information about frequency and presence
            penalties.](/docs/guides/text-generation)
        seed:
          type: integer
          format: int64
          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:
          $ref: "#/components/schemas/StopConfiguration"
        stream:
          description: |
            Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
          type: boolean
          nullable: true
          default: false
        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: >
            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: >
            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:
          type: string
          example: user-1234
          description: >
            A unique identifier representing your end-user, which can help
            OpenAI to monitor and detect abuse. [Learn
            more](/docs/guides/safety-best-practices#end-user-ids).
      required:
        - model
        - prompt
    CreateCompletionResponse:
      type: object
      description: >
        Represents a completion response from the API. Note: both the streamed
        and non-streamed response objects share the same shape (unlike the chat
        endpoint).
      properties:
        id:
          type: string
          description: A unique identifier for the completion.
        choices:
          type: array
          description: The list of completion choices the model generated for the input
            prompt.
          items:
            type: object
            required:
              - finish_reason
              - index
              - logprobs
              - text
            properties:
              finish_reason:
                type: string
                description: >
                  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
          x-stainless-const: true
        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
            }
          }
    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. Some models may also impose a limit on total number of tokens summed across inputs.
          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]]"
        model:
          description: >
            ID of the model to use. You can use the [List
            models](/docs/api-reference/models/list) API to see all of your
            available models, or see our [Model overview](/docs/models) for
            descriptions of them.
          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:
          type: string
          example: user-1234
          description: >
            A unique identifier representing your end-user, which can help
            OpenAI to monitor and detect abuse. [Learn
            more](/docs/guides/safety-best-practices#end-user-ids).
      required:
        - model
        - 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
          x-stainless-const: true
        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
    CreateEvalCompletionsRunDataSource:
      type: object
      title: CompletionsRunDataSource
      description: >
        A CompletionsRunDataSource object describing a model sampling
        configuration.
      properties:
        type:
          type: string
          enum:
            - completions
          default: completions
          description: The type of run data source. Always `completions`.
        input_messages:
          oneOf:
            - type: object
              title: TemplateInputMessages
              properties:
                type:
                  type: string
                  enum:
                    - template
                  description: The type of input messages. Always `template`.
                template:
                  type: array
                  description: A list of chat messages forming the prompt or context. May include
                    variable references to the "item" namespace, ie
                    {{item.name}}.
                  items:
                    oneOf:
                      - $ref: "#/components/schemas/EasyInputMessage"
                      - $ref: "#/components/schemas/EvalItem"
              required:
                - type
                - template
            - type: object
              title: ItemReferenceInputMessages
              properties:
                type:
                  type: string
                  enum:
                    - item_reference
                  description: The type of input messages. Always `item_reference`.
                item_reference:
                  type: string
                  description: A reference to a variable in the "item" namespace. Ie, "item.name"
              required:
                - type
                - item_reference
        sampling_params:
          type: object
          properties:
            temperature:
              type: number
              description: A higher temperature increases randomness in the outputs.
              default: 1
            max_completion_tokens:
              type: integer
              description: The maximum number of tokens in the generated output.
            top_p:
              type: number
              description: An alternative to temperature for nucleus sampling; 1.0 includes
                all tokens.
              default: 1
            seed:
              type: integer
              description: A seed value to initialize the randomness, during sampling.
              default: 42
        model:
          type: string
          description: The name of the model to use for generating completions (e.g.
            "o3-mini").
        source:
          oneOf:
            - $ref: "#/components/schemas/EvalJsonlFileContentSource"
            - $ref: "#/components/schemas/EvalJsonlFileIdSource"
            - $ref: "#/components/schemas/EvalStoredCompletionsSource"
      required:
        - type
        - source
      x-oaiMeta:
        name: The completions data source object used to configure an individual run
        group: eval runs
        example: |
          {
            "name": "gpt-4o-mini-2024-07-18",
            "data_source": {
              "type": "completions",
              "input_messages": {
                "type": "item_reference",
                "item_reference": "item.input"
              },
              "model": "gpt-4o-mini-2024-07-18",
              "source": {
                "type": "stored_completions",
                "model": "gpt-4o-mini-2024-07-18"
              }
            }
          }
    CreateEvalCustomDataSourceConfig:
      type: object
      title: CustomDataSourceConfig
      description: >
        A CustomDataSourceConfig object that defines the schema for the data
        source used for the evaluation runs.

        This schema is used to define the shape of the data that will be:

        - Used to define your testing criteria and

        - What data is required when creating a run
      properties:
        type:
          type: string
          enum:
            - custom
          default: custom
          description: The type of data source. Always `custom`.
          x-stainless-const: true
        item_schema:
          type: object
          description: The json schema for each row in the data source.
          additionalProperties: true
          example: |
            {
              "type": "object",
              "properties": {
                "name": {"type": "string"},
                "age": {"type": "integer"}
              },
              "required": ["name", "age"]
            }
        include_sample_schema:
          type: boolean
          default: false
          description: Whether the eval should expect you to populate the sample namespace
            (ie, by generating responses off of your data source)
      required:
        - item_schema
        - type
      x-oaiMeta:
        name: The eval file data source config object
        group: evals
        example: |
          {
            "type": "custom",
            "item_schema": {
              "type": "object",
              "properties": {
                "name": {"type": "string"},
                "age": {"type": "integer"}
              },
              "required": ["name", "age"]
            },
            "include_sample_schema": true
          }
    CreateEvalItem:
      title: CreateEvalItem
      description: A chat message that makes up the prompt or context. May include
        variable references to the "item" namespace, ie {{item.name}}.
      type: object
      oneOf:
        - type: object
          title: SimpleInputMessage
          properties:
            role:
              type: string
              description: The role of the message (e.g. "system", "assistant", "user").
            content:
              type: string
              description: The content of the message.
          required:
            - role
            - content
        - $ref: "#/components/schemas/EvalItem"
      x-oaiMeta:
        name: The chat message object used to configure an individual run
    CreateEvalJsonlRunDataSource:
      type: object
      title: JsonlRunDataSource
      description: >
        A JsonlRunDataSource object with that specifies a JSONL file that
        matches the eval
      properties:
        type:
          type: string
          enum:
            - jsonl
          default: jsonl
          description: The type of data source. Always `jsonl`.
          x-stainless-const: true
        source:
          oneOf:
            - $ref: "#/components/schemas/EvalJsonlFileContentSource"
            - $ref: "#/components/schemas/EvalJsonlFileIdSource"
      required:
        - type
        - source
      x-oaiMeta:
        name: The file data source object for the eval run configuration
        group: evals
        example: |
          {
           "type": "jsonl",
           "source": {
             "type": "file_id",
             "id": "file-9GYS6xbkWgWhmE7VoLUWFg"
           }
          }
    CreateEvalLabelModelGrader:
      type: object
      title: LabelModelGrader
      description: >
        A LabelModelGrader object which uses a model to assign labels to each
        item

        in the evaluation.
      properties:
        type:
          description: The object type, which is always `label_model`.
          type: string
          enum:
            - label_model
          x-stainless-const: true
        name:
          type: string
          description: The name of the grader.
        model:
          type: string
          description: The model to use for the evaluation. Must support structured outputs.
        input:
          type: array
          description: A list of chat messages forming the prompt or context. May include
            variable references to the "item" namespace, ie {{item.name}}.
          items:
            $ref: "#/components/schemas/CreateEvalItem"
        labels:
          type: array
          items:
            type: string
          description: The labels to classify to each item in the evaluation.
        passing_labels:
          type: array
          items:
            type: string
          description: The labels that indicate a passing result. Must be a subset of
            labels.
      required:
        - type
        - model
        - input
        - passing_labels
        - labels
        - name
      x-oaiMeta:
        name: The eval label model grader object
        group: evals
        example: >
          {
            "type": "label_model",
            "model": "gpt-4o-2024-08-06",
            "input": [
              {
                "role": "system",
                "content": "Classify the sentiment of the following statement as one of 'positive', 'neutral', or 'negative'"
              },
              {
                "role": "user",
                "content": "Statement: {{item.response}}"
              }
            ],
            "passing_labels": ["positive"],
            "labels": ["positive", "neutral", "negative"],
            "name": "Sentiment label grader"
          }
    CreateEvalLogsDataSourceConfig:
      type: object
      title: LogsDataSourceConfig
      description: >
        A data source config which specifies the metadata property of your
        stored completions query.

        This is usually metadata like `usecase=chatbot` or `prompt-version=v2`,
        etc.
      properties:
        type:
          type: string
          enum:
            - logs
          default: logs
          description: The type of data source. Always `logs`.
          x-stainless-const: true
        metadata:
          type: object
          description: Metadata filters for the logs data source.
          additionalProperties: true
          example: |
            {
              "use_case": "customer_support_agent"
            }
      required:
        - type
      x-oaiMeta:
        name: The logs data source object for evals
        group: evals
        example: |
          {
            "type": "logs",
            "metadata": {
              "use_case": "customer_support_agent"
            }
          }
    CreateEvalRequest:
      type: object
      title: CreateEvalRequest
      properties:
        name:
          type: string
          description: The name of the evaluation.
        metadata:
          $ref: "#/components/schemas/Metadata"
        data_source_config:
          type: object
          description: The configuration for the data source used for the evaluation runs.
          oneOf:
            - $ref: "#/components/schemas/CreateEvalCustomDataSourceConfig"
            - $ref: "#/components/schemas/CreateEvalLogsDataSourceConfig"
        testing_criteria:
          type: array
          description: A list of graders for all eval runs in this group.
          items:
            oneOf:
              - $ref: "#/components/schemas/CreateEvalLabelModelGrader"
              - $ref: "#/components/schemas/EvalStringCheckGrader"
              - $ref: "#/components/schemas/EvalTextSimilarityGrader"
              - $ref: "#/components/schemas/EvalPythonGrader"
              - $ref: "#/components/schemas/EvalScoreModelGrader"
      required:
        - data_source_config
        - testing_criteria
    CreateEvalResponsesRunDataSource:
      type: object
      title: ResponsesRunDataSource
      description: >
        A ResponsesRunDataSource object describing a model sampling
        configuration.
      properties:
        type:
          type: string
          enum:
            - completions
          default: completions
          description: The type of run data source. Always `completions`.
        input_messages:
          oneOf:
            - type: object
              properties:
                type:
                  type: string
                  enum:
                    - template
                  description: The type of input messages. Always `template`.
                template:
                  type: array
                  description: A list of chat messages forming the prompt or context. May include
                    variable references to the "item" namespace, ie
                    {{item.name}}.
                  items:
                    oneOf:
                      - type: object
                        title: ChatMessage
                        properties:
                          role:
                            type: string
                            description: The role of the message (e.g. "system", "assistant", "user").
                          content:
                            type: string
                            description: The content of the message.
                        required:
                          - role
                          - content
                      - $ref: "#/components/schemas/EvalItem"
              required:
                - type
                - template
            - type: object
              properties:
                type:
                  type: string
                  enum:
                    - item_reference
                  description: The type of input messages. Always `item_reference`.
                item_reference:
                  type: string
                  description: A reference to a variable in the "item" namespace. Ie, "item.name"
              required:
                - type
                - item_reference
        sampling_params:
          type: object
          properties:
            temperature:
              type: number
              description: A higher temperature increases randomness in the outputs.
              default: 1
            max_completion_tokens:
              type: integer
              description: The maximum number of tokens in the generated output.
            top_p:
              type: number
              description: An alternative to temperature for nucleus sampling; 1.0 includes
                all tokens.
              default: 1
            seed:
              type: integer
              description: A seed value to initialize the randomness, during sampling.
              default: 42
        model:
          type: string
          description: The name of the model to use for generating completions (e.g.
            "o3-mini").
        source:
          oneOf:
            - $ref: "#/components/schemas/EvalJsonlFileContentSource"
            - $ref: "#/components/schemas/EvalJsonlFileIdSource"
            - $ref: "#/components/schemas/EvalResponsesSource"
      required:
        - type
        - source
      x-oaiMeta:
        name: The completions data source object used to configure an individual run
        group: eval runs
        example: |
          {
            "name": "gpt-4o-mini-2024-07-18",
            "data_source": {
              "type": "completions",
              "input_messages": {
                "type": "item_reference",
                "item_reference": "item.input"
              },
              "model": "gpt-4o-mini-2024-07-18",
              "source": {
                "type": "stored_completions",
                "model": "gpt-4o-mini-2024-07-18"
              }
            }
          }
    CreateEvalRunRequest:
      type: object
      title: CreateEvalRunRequest
      properties:
        name:
          type: string
          description: The name of the run.
        metadata:
          $ref: "#/components/schemas/Metadata"
        data_source:
          type: object
          description: Details about the run's data source.
          oneOf:
            - $ref: "#/components/schemas/CreateEvalJsonlRunDataSource"
            - $ref: "#/components/schemas/CreateEvalCompletionsRunDataSource"
            - $ref: "#/components/schemas/CreateEvalResponsesRunDataSource"
      required:
        - data_source
    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. One of: - `assistants`:
            Used in the Assistants API - `batch`: Used in the Batch API -
            `fine-tune`: Used for fine-tuning - `vision`: Images used for vision
            fine-tuning - `user_data`: Flexible file type for any purpose -
            `evals`: Used for eval data sets
          type: string
          enum:
            - assistants
            - batch
            - fine-tune
            - vision
            - user_data
            - evals
      required:
        - file
        - purpose
    CreateFineTuningCheckpointPermissionRequest:
      type: object
      additionalProperties: false
      properties:
        project_ids:
          type: array
          description: The project identifiers to grant access to.
          items:
            type: string
      required:
        - project_ids
    CreateFineTuningJobRequest:
      type: object
      properties:
        model:
          description: >
            The name of the model to fine-tune. You can select one of the

            [supported
            models](/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
          example: gpt-4o-mini
          anyOf:
            - type: string
            - type: string
              enum:
                - babbage-002
                - davinci-002
                - gpt-3.5-turbo
                - gpt-4o-mini
          x-oaiTypeLabel: string
        training_file:
          description: >
            The ID of an uploaded file that contains training data.


            See [upload file](/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](/docs/api-reference/fine-tuning/chat-input),
            [completions](/docs/api-reference/fine-tuning/completions-input)
            format, or if the fine-tuning method uses the
            [preference](/docs/api-reference/fine-tuning/preference-input)
            format.


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

            This value is now deprecated in favor of `method`, and should be
            passed in under the `method` parameter.
          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
                  x-stainless-const: true
                - type: integer
                  minimum: 1
                  maximum: 256
            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
                  x-stainless-const: true
                - type: number
                  minimum: 0
                  exclusiveMinimum: true
            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
                  x-stainless-const: true
                - type: integer
                  minimum: 1
                  maximum: 50
          deprecated: true
        suffix:
          description: >
            A string of up to 64 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-4o-mini:openai:custom-model-name:7p4lURel`.
          type: string
          minLength: 1
          maxLength: 64
          default: null
          nullable: true
        validation_file:
          description: >
            The ID of an uploaded file that contains validation data.


            If you provide this file, the data is used to generate validation

            metrics periodically during fine-tuning. These metrics can be viewed
            in

            the fine-tuning results file.

            The same data should not be present in both train and validation
            files.


            Your dataset must be formatted as a JSONL file. You must upload your
            file with the purpose `fine-tune`.


            See the [fine-tuning guide](/docs/guides/fine-tuning) for more
            details.
          type: string
          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
                    x-stainless-const: true
              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
        method:
          $ref: "#/components/schemas/FineTuneMethod"
        metadata:
          $ref: "#/components/schemas/Metadata"
      required:
        - model
        - training_file

    CreateImageEditRequest:
      type: object
      properties:
        image:
          type: array
          items:
            type: string
            format: binary
          maxItems: 16
          minItems: 1
          description: >
            The image(s) to edit. Must be a supported image file or an array of
            images.


            For `gpt-image-1`, each image should be a `png`, `webp`, or `jpg`
            file less 

            than 25MB. You can provide up to 16 images.


            For `dall-e-2`, you can only provide one image, and it should be a
            square 

            `png` file less than 4MB.
        prompt:
          description: A text description of the desired image(s). The maximum length is
            1000 characters for `dall-e-2`, and 32000 characters for
            `gpt-image-1`.
          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. If there are
            multiple images provided, the mask will be applied on the first
            image. 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
                - gpt-image-1
              x-stainless-const: true
          x-oaiTypeLabel: string
          example: gpt-image-1
          nullable: true
          description: The model to use for image generation. Only `dall-e-2` and
            `gpt-image-1` are supported. Defaults to `dall-e-2` unless a
            parameter specific to `gpt-image-1` is used.
        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:
          type: string
          enum:
            - 256x256
            - 512x512
            - 1024x1024
            - 1536x1024
            - 1024x1536
            - auto
          default: 1024x1024
          example: 1024x1024
          nullable: true
          description: The size of the generated images. Must be one of `1024x1024`,
            `1536x1024` (landscape), `1024x1536` (portrait), or `auto` (default
            value) for `gpt-image-1`, and one of `256x256`, `512x512`, or
            `1024x1024` for `dall-e-2`.
        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. This parameter is only supported for
            `dall-e-2`, as `gpt-image-1` will always return base64-encoded
            images.
        user:
          type: string
          example: user-1234
          description: >
            A unique identifier representing your end-user, which can help
            OpenAI to monitor and detect abuse. [Learn
            more](/docs/guides/safety-best-practices#end-user-ids).
        quality:
          type: string
          enum:
            - standard
            - low
            - medium
            - high
            - auto
          example: high
          nullable: true
          description: >
            The quality of the image that will be generated. `high`, `medium`
            and `low` are only supported for `gpt-image-1`. `dall-e-2` only
            supports `standard` quality. Defaults to `auto`.
      required:
        - prompt
        - image
    CreateImageRequest:
      type: object
      properties:
        prompt:
          description: A text description of the desired image(s). The maximum length is
            32000 characters for `gpt-image-1`, 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
                - gpt-image-1
          x-oaiTypeLabel: string
          example: gpt-image-1
          nullable: true
          description: The model to use for image generation. One of `dall-e-2`,
            `dall-e-3`, or `gpt-image-1`. Defaults to `dall-e-2` unless a
            parameter specific to `gpt-image-1` is used.
        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
            - low
            - medium
            - high
            - auto
          example: medium
          nullable: true
          description: >
            The quality of the image that will be generated. 


            - `auto` (default value) will automatically select the best quality
            for the given model.

            - `high`, `medium` and `low` are supported for `gpt-image-1`.

            - `hd` and `standard` are supported for `dall-e-3`.

            - `standard` is the only option for `dall-e-2`.
        response_format:
          type: string
          enum:
            - url
            - b64_json
          default: url
          example: url
          nullable: true
          description: The format in which generated images with `dall-e-2` and `dall-e-3`
            are returned. Must be one of `url` or `b64_json`. URLs are only
            valid for 60 minutes after the image has been generated. This
            parameter isn't supported for `gpt-image-1` which will always return
            base64-encoded images.
        output_format:
          type: string
          enum:
            - png
            - jpeg
            - webp
          default: png
          example: png
          nullable: true
          description: The format in which the generated images are returned. This
            parameter is only supported for `gpt-image-1`. Must be one of `png`,
            `jpeg`, or `webp`.
        output_compression:
          type: integer
          default: 100
          example: 100
          nullable: true
          description: The compression level (0-100%) for the generated images. This
            parameter is only supported for `gpt-image-1` with the `webp` or
            `jpeg` output formats, and defaults to 100.
        size:
          type: string
          enum:
            - auto
            - 1024x1024
            - 1536x1024
            - 1024x1536
            - 256x256
            - 512x512
            - 1792x1024
            - 1024x1792
          example: 1024x1024
          nullable: true
          description: The size of the generated images. Must be one of `1024x1024`,
            `1536x1024` (landscape), `1024x1536` (portrait), or `auto` (default
            value) for `gpt-image-1`, one of `256x256`, `512x512`, or
            `1024x1024` for `dall-e-2`, and one of `1024x1024`, `1792x1024`, or
            `1024x1792` for `dall-e-3`.
        moderation:
          type: string
          enum:
            - low
            - auto
          example: low
          nullable: true
          description: Control the content-moderation level for images generated by
            `gpt-image-1`. Must be either `low` for less restrictive filtering
            or `auto` (default value).
        background:
          type: string
          enum:
            - transparent
            - opaque
            - auto
          example: transparent
          nullable: true
          description: >
            Allows to set transparency for the background of the generated
            image(s). 

            This parameter is only supported for `gpt-image-1`. Must be one of 

            `transparent`, `opaque` or `auto` (default value). When `auto` is
            used, the 

            model will automatically determine the best background for the
            image.


            If `transparent`, the output format needs to support transparency,
            so it 

            should be set to either `png` (default value) or `webp`.
        style:
          type: string
          enum:
            - vivid
            - natural
          default: vivid
          example: vivid
          nullable: true
          description: The style of the generated images. This parameter is only supported
            for `dall-e-3`. 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.
        user:
          type: string
          example: user-1234
          description: >
            A unique identifier representing your end-user, which can help
            OpenAI to monitor and detect abuse. [Learn
            more](/docs/guides/safety-best-practices#end-user-ids).
      required:
        - prompt
    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-stainless-const: true
          x-oaiTypeLabel: string
          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.
        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:
          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`.
        user:
          type: string
          example: user-1234
          description: >
            A unique identifier representing your end-user, which can help
            OpenAI to monitor and detect abuse. [Learn
            more](/docs/guides/safety-best-practices#end-user-ids).
      required:
        - image
    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](/docs/models).
              title: Array of content parts
              items:
                oneOf:
                  - $ref: "#/components/schemas/MessageContentImageFileObject"
                  - $ref: "#/components/schemas/MessageContentImageUrlObject"
                  - $ref: "#/components/schemas/MessageRequestContentTextObject"
              minItems: 1
        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"
          description: A list of files attached to the message, and the tools they should
            be added to.
          required:
            - file_id
            - tools
          nullable: true
        metadata:
          $ref: "#/components/schemas/Metadata"
    CreateModelResponseProperties:
      allOf:
        - $ref: "#/components/schemas/ModelResponseProperties"
    CreateModerationRequest:
      type: object
      properties:
        input:
          description: >
            Input (or inputs) to classify. Can be a single string, an array of
            strings, or

            an array of multi-modal input objects similar to other models.
          oneOf:
            - type: string
              description: A string of text to classify for moderation.
              default: ""
              example: I want to kill them.
            - type: array
              description: An array of strings to classify for moderation.
              items:
                type: string
                default: ""
                example: I want to kill them.
            - type: array
              description: An array of multi-modal inputs to the moderation model.
              items:
                oneOf:
                  - type: object
                    description: An object describing an image to classify.
                    properties:
                      type:
                        description: Always `image_url`.
                        type: string
                        enum:
                          - image_url
                        x-stainless-const: true
                      image_url:
                        type: object
                        description: Contains either an image URL or a data URL for a base64 encoded
                          image.
                        properties:
                          url:
                            type: string
                            description: Either a URL of the image or the base64 encoded image data.
                            format: uri
                            example: https://example.com/image.jpg
                        required:
                          - url
                    required:
                      - type
                      - image_url
                  - type: object
                    description: An object describing text to classify.
                    properties:
                      type:
                        description: Always `text`.
                        type: string
                        enum:
                          - text
                        x-stainless-const: true
                      text:
                        description: A string of text to classify.
                        type: string
                        example: I want to kill them
                    required:
                      - type
                      - text
        model:
          description: |
            The content moderation model you would like to use. Learn more in
            [the moderation guide](/docs/guides/moderation), and learn about
            available models [here](/docs/models#moderation).
          nullable: false
          example: omni-moderation-2024-09-26
          anyOf:
            - type: string
            - type: string
              enum:
                - omni-moderation-latest
                - omni-moderation-2024-09-26
                - 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.
                  illicit:
                    type: boolean
                    nullable: true
                    description: Content that includes instructions or advice that facilitate the
                      planning or execution of wrongdoing, or that gives advice
                      or instruction on how to commit illicit acts. For example,
                      "how to shoplift" would fit this category.
                  illicit/violent:
                    type: boolean
                    nullable: true
                    description: Content that includes instructions or advice that facilitate the
                      planning or execution of wrongdoing that also includes
                      violence, or that gives advice or instruction on the
                      procurement of any weapon.
                  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
                  - illicit
                  - illicit/violent
                  - 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'.
                  illicit:
                    type: number
                    description: The score for the category 'illicit'.
                  illicit/violent:
                    type: number
                    description: The score for the category 'illicit/violent'.
                  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
                  - illicit
                  - illicit/violent
                  - self-harm
                  - self-harm/intent
                  - self-harm/instructions
                  - sexual
                  - sexual/minors
                  - violence
                  - violence/graphic
              category_applied_input_types:
                type: object
                description: A list of the categories along with the input type(s) that the
                  score applies to.
                properties:
                  hate:
                    type: array
                    description: The applied input type(s) for the category 'hate'.
                    items:
                      type: string
                      enum:
                        - text
                      x-stainless-const: true
                  hate/threatening:
                    type: array
                    description: The applied input type(s) for the category 'hate/threatening'.
                    items:
                      type: string
                      enum:
                        - text
                      x-stainless-const: true
                  harassment:
                    type: array
                    description: The applied input type(s) for the category 'harassment'.
                    items:
                      type: string
                      enum:
                        - text
                      x-stainless-const: true
                  harassment/threatening:
                    type: array
                    description: The applied input type(s) for the category
                      'harassment/threatening'.
                    items:
                      type: string
                      enum:
                        - text
                      x-stainless-const: true
                  illicit:
                    type: array
                    description: The applied input type(s) for the category 'illicit'.
                    items:
                      type: string
                      enum:
                        - text
                      x-stainless-const: true
                  illicit/violent:
                    type: array
                    description: The applied input type(s) for the category 'illicit/violent'.
                    items:
                      type: string
                      enum:
                        - text
                      x-stainless-const: true
                  self-harm:
                    type: array
                    description: The applied input type(s) for the category 'self-harm'.
                    items:
                      type: string
                      enum:
                        - text
                        - image
                  self-harm/intent:
                    type: array
                    description: The applied input type(s) for the category 'self-harm/intent'.
                    items:
                      type: string
                      enum:
                        - text
                        - image
                  self-harm/instructions:
                    type: array
                    description: The applied input type(s) for the category
                      'self-harm/instructions'.
                    items:
                      type: string
                      enum:
                        - text
                        - image
                  sexual:
                    type: array
                    description: The applied input type(s) for the category 'sexual'.
                    items:
                      type: string
                      enum:
                        - text
                        - image
                  sexual/minors:
                    type: array
                    description: The applied input type(s) for the category 'sexual/minors'.
                    items:
                      type: string
                      enum:
                        - text
                      x-stainless-const: true
                  violence:
                    type: array
                    description: The applied input type(s) for the category 'violence'.
                    items:
                      type: string
                      enum:
                        - text
                        - image
                  violence/graphic:
                    type: array
                    description: The applied input type(s) for the category 'violence/graphic'.
                    items:
                      type: string
                      enum:
                        - text
                        - image
                required:
                  - hate
                  - hate/threatening
                  - harassment
                  - harassment/threatening
                  - illicit
                  - illicit/violent
                  - self-harm
                  - self-harm/intent
                  - self-harm/instructions
                  - sexual
                  - sexual/minors
                  - violence
                  - violence/graphic
            required:
              - flagged
              - categories
              - category_scores
              - category_applied_input_types
      required:
        - id
        - model
        - results
      x-oaiMeta:
        name: The moderation object
        example: |
          {
            "id": "modr-0d9740456c391e43c445bf0f010940c7",
            "model": "omni-moderation-latest",
            "results": [
              {
                "flagged": true,
                "categories": {
                  "harassment": true,
                  "harassment/threatening": true,
                  "sexual": false,
                  "hate": false,
                  "hate/threatening": false,
                  "illicit": false,
                  "illicit/violent": false,
                  "self-harm/intent": false,
                  "self-harm/instructions": false,
                  "self-harm": false,
                  "sexual/minors": false,
                  "violence": true,
                  "violence/graphic": true
                },
                "category_scores": {
                  "harassment": 0.8189693396524255,
                  "harassment/threatening": 0.804985420696006,
                  "sexual": 1.573112165348997e-6,
                  "hate": 0.007562942636942845,
                  "hate/threatening": 0.004208854591835476,
                  "illicit": 0.030535955153511665,
                  "illicit/violent": 0.008925306722380033,
                  "self-harm/intent": 0.00023023930975076432,
                  "self-harm/instructions": 0.0002293869201073356,
                  "self-harm": 0.012598046106750154,
                  "sexual/minors": 2.212566909570261e-8,
                  "violence": 0.9999992735124786,
                  "violence/graphic": 0.843064871157054
                },
                "category_applied_input_types": {
                  "harassment": [
                    "text"
                  ],
                  "harassment/threatening": [
                    "text"
                  ],
                  "sexual": [
                    "text",
                    "image"
                  ],
                  "hate": [
                    "text"
                  ],
                  "hate/threatening": [
                    "text"
                  ],
                  "illicit": [
                    "text"
                  ],
                  "illicit/violent": [
                    "text"
                  ],
                  "self-harm/intent": [
                    "text",
                    "image"
                  ],
                  "self-harm/instructions": [
                    "text",
                    "image"
                  ],
                  "self-harm": [
                    "text",
                    "image"
                  ],
                  "sexual/minors": [
                    "text"
                  ],
                  "violence": [
                    "text",
                    "image"
                  ],
                  "violence/graphic": [
                    "text",
                    "image"
                  ]
                }
              }
            ]
          }
    CreateResponse:
      allOf:
        - $ref: "#/components/schemas/CreateModelResponseProperties"
        - $ref: "#/components/schemas/ResponseProperties"
        - type: object
          properties:
            input:
              description: >
                Text, image, or file inputs to the model, used to generate a
                response.


                Learn more:

                - [Text inputs and outputs](/docs/guides/text)

                - [Image inputs](/docs/guides/images)

                - [File inputs](/docs/guides/pdf-files)

                - [Conversation state](/docs/guides/conversation-state)

                - [Function calling](/docs/guides/function-calling)
              oneOf:
                - type: string
                  title: Text input
                  description: >
                    A text input to the model, equivalent to a text input with
                    the 

                    `user` role.
                - type: array
                  title: Input item list
                  description: |
                    A list of one or many input items to the model, containing 
                    different content types.
                  items:
                    $ref: "#/components/schemas/InputItem"
            include:
              type: array
              description: >
                Specify additional output data to include in the model response.
                Currently

                supported values are:

                - `file_search_call.results`: Include the search results of
                  the file search tool call.
                - `message.input_image.image_url`: Include image urls from the
                input message.

                - `computer_call_output.output.image_url`: Include image urls
                from the computer call output.
              items:
                $ref: "#/components/schemas/Includable"
              nullable: true
            parallel_tool_calls:
              type: boolean
              description: |
                Whether to allow the model to run tool calls in parallel.
              default: true
              nullable: true
            store:
              type: boolean
              description: >
                Whether to store the generated model response for later
                retrieval via

                API.
              default: true
              nullable: true
            stream:
              description: |
                If set to true, the model response data will be streamed to the client
                as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
                See the [Streaming section below](/docs/api-reference/responses-streaming)
                for more information.
              type: boolean
              nullable: true
              default: false
          required:
            - model
            - input
    CreateRunRequest:
      type: object
      additionalProperties: false
      properties:
        assistant_id:
          description: The ID of the [assistant](/docs/api-reference/assistants) to use to
            execute this run.
          type: string
        model:
          description: The ID of the [Model](/docs/api-reference/models) to be used to
            execute this run. If a value is provided here, it will override the
            model associated with the assistant. If not, the model associated
            with the assistant will be used.
          example: gpt-4o
          anyOf:
            - type: string
            - $ref: "#/components/schemas/AssistantSupportedModels"
          x-oaiTypeLabel: string
          nullable: true
        reasoning_effort:
          $ref: "#/components/schemas/ReasoningEffort"
        instructions:
          description: Overrides the
            [instructions](/docs/api-reference/assistants/createAssistant) of
            the assistant. This is useful for modifying the behavior on a
            per-run basis.
          type: string
          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"
        metadata:
          $ref: "#/components/schemas/Metadata"
        temperature:
          type: number
          minimum: 0
          maximum: 2
          default: 1
          example: 1
          nullable: true
          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.
        top_p:
          type: number
          minimum: 0
          maximum: 1
          default: 1
          example: 1
          nullable: true
          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.
        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:
          allOf:
            - $ref: "#/components/schemas/TruncationObject"
            - nullable: true
        tool_choice:
          allOf:
            - $ref: "#/components/schemas/AssistantsApiToolChoiceOption"
            - nullable: true
        parallel_tool_calls:
          $ref: "#/components/schemas/ParallelToolCalls"
        response_format:
          $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
          nullable: true
      required:
        - assistant_id
    CreateSpeechRequest:
      type: object
      additionalProperties: false
      properties:
        model:
          description: >
            One of the available [TTS models](/docs/models#tts): `tts-1`,
            `tts-1-hd` or `gpt-4o-mini-tts`.
          anyOf:
            - type: string
            - type: string
              enum:
                - tts-1
                - tts-1-hd
                - gpt-4o-mini-tts
          x-oaiTypeLabel: string
        input:
          type: string
          description: The text to generate audio for. The maximum length is 4096
            characters.
          maxLength: 4096
        instructions:
          type: string
          description: Control the voice of your generated audio with additional
            instructions. Does not work with `tts-1` or `tts-1-hd`.
          maxLength: 4096
        voice:
          description: The voice to use when generating the audio. Supported voices are
            `alloy`, `ash`, `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`,
            `sage`, `shimmer`, and `verse`. Previews of the voices are available
            in the [Text to speech
            guide](/docs/guides/text-to-speech#voice-options).
          $ref: "#/components/schemas/VoiceIdsShared"
        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
          minimum: 0.25
          maximum: 4
      required:
        - model
        - input
        - voice
    CreateThreadAndRunRequest:
      type: object
      additionalProperties: false
      properties:
        assistant_id:
          description: The ID of the [assistant](/docs/api-reference/assistants) to use to
            execute this run.
          type: string
        thread:
          $ref: "#/components/schemas/CreateThreadRequest"
        model:
          description: The ID of the [Model](/docs/api-reference/models) to be used to
            execute this run. If a value is provided here, it will override the
            model associated with the assistant. If not, the model associated
            with the assistant will be used.
          example: gpt-4o
          anyOf:
            - type: string
            - type: string
              enum:
                - gpt-4.1
                - gpt-4.1-mini
                - gpt-4.1-nano
                - gpt-4.1-2025-04-14
                - gpt-4.1-mini-2025-04-14
                - gpt-4.1-nano-2025-04-14
                - gpt-4o
                - gpt-4o-2024-11-20
                - gpt-4o-2024-08-06
                - gpt-4o-2024-05-13
                - gpt-4o-mini
                - gpt-4o-mini-2024-07-18
                - gpt-4.5-preview
                - gpt-4.5-preview-2025-02-27
                - 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](/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](/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:
          $ref: "#/components/schemas/Metadata"
        temperature:
          type: number
          minimum: 0
          maximum: 2
          default: 1
          example: 1
          nullable: true
          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.
        top_p:
          type: number
          minimum: 0
          maximum: 1
          default: 1
          example: 1
          nullable: true
          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.
        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:
          allOf:
            - $ref: "#/components/schemas/TruncationObject"
            - nullable: true
        tool_choice:
          allOf:
            - $ref: "#/components/schemas/AssistantsApiToolChoiceOption"
            - nullable: true
        parallel_tool_calls:
          $ref: "#/components/schemas/ParallelToolCalls"
        response_format:
          $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
          nullable: true
      required:
        - assistant_id
    CreateThreadRequest:
      type: object
      description: |
        Options to create a new thread. If no thread is provided when running a 
        request, an empty thread will be created.
      additionalProperties: false
      properties:
        messages:
          description: A list of [messages](/docs/api-reference/messages) to start the
            thread with.
          type: array
          items:
            $ref: "#/components/schemas/CreateMessageRequest"
        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](/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](/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](/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](/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:
                        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
                                x-stainless-const: true
                            required:
                              - type
                          - type: object
                            title: Static Chunking Strategy
                            additionalProperties: false
                            properties:
                              type:
                                type: string
                                description: Always `static`.
                                enum:
                                  - static
                                x-stainless-const: true
                              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
                      metadata:
                        $ref: "#/components/schemas/Metadata"
              oneOf:
                - required:
                    - vector_store_ids
                - required:
                    - vector_stores
          nullable: true
        metadata:
          $ref: "#/components/schemas/Metadata"
    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. The options are `gpt-4o-transcribe`,
            `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our
            open source Whisper V2 model).
          example: gpt-4o-transcribe
          anyOf:
            - type: string
            - type: string
              enum:
                - whisper-1
                - gpt-4o-transcribe
                - gpt-4o-mini-transcribe
              x-stainless-const: true
          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)
            (e.g. `en`) 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](/docs/guides/speech-to-text#prompting)
            should match the audio language.
          type: string
        response_format:
          $ref: "#/components/schemas/AudioResponseFormat"
        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
        include[]:
          description: >
            Additional information to include in the transcription response. 

            `logprobs` will return the log probabilities of the tokens in the 

            response to understand the model's confidence in the transcription. 

            `logprobs` only works with response_format set to `json` and only
            with 

            the models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`.
          type: array
          items:
            $ref: "#/components/schemas/TranscriptionInclude"
        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
        stream:
          description: |
            If set to true, the model response data will be streamed to the client
            as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). 
            See the [Streaming section of the Speech-to-Text guide](/docs/guides/speech-to-text?lang=curl#streaming-transcriptions)
            for more information.

            Note: Streaming is not supported for the `whisper-1` model and will be ignored.
          type: boolean
          nullable: true
          default: false
      required:
        - file
        - model
    CreateTranscriptionResponseJson:
      type: object
      description: Represents a transcription response returned by model, based on the
        provided input.
      properties:
        text:
          type: string
          description: The transcribed text.
        logprobs:
          type: array
          optional: true
          description: >
            The log probabilities of the tokens in the transcription. Only
            returned with the models `gpt-4o-transcribe` and
            `gpt-4o-mini-transcribe` if `logprobs` is added to the `include`
            array.
          items:
            type: object
            properties:
              token:
                type: string
                description: The token in the transcription.
              logprob:
                type: number
                description: The log probability of the token.
              bytes:
                type: array
                items:
                  type: number
                description: The bytes of the token.
      required:
        - text
      x-oaiMeta:
        name: The transcription object (JSON)
        group: audio
        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."
          }
    CreateTranscriptionResponseStreamEvent:
      anyOf:
        - $ref: "#/components/schemas/TranscriptTextDeltaEvent"
        - $ref: "#/components/schemas/TranscriptTextDoneEvent"
      discriminator:
        propertyName: type
    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: number
          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: >
          {
            "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
              },
              ...
            ]
          }
    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-stainless-const: true
          x-oaiTypeLabel: string
        prompt:
          description: >
            An optional text to guide the model's style or continue a previous
            audio segment. The [prompt](/docs/guides/speech-to-text#prompting)
            should be in English.
          type: string
        response_format:
          description: >
            The format of the output, in one of these options: `json`, `text`,
            `srt`, `verbose_json`, or `vtt`.
          type: string
          enum:
            - json
            - text
            - srt
            - verbose_json
            - vtt
          default: json
        temperature:
          description: >
            The sampling temperature, between 0 and 1. Higher values like 0.8
            will make the output more random, while lower values like 0.2 will
            make it more focused and deterministic. If set to 0, the model will
            use [log probability](https://en.wikipedia.org/wiki/Log_probability)
            to automatically increase the temperature until certain thresholds
            are hit.
          type: number
          default: 0
      required:
        - file
        - model
    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: number
          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
    CreateUploadRequest:
      type: object
      additionalProperties: false
      properties:
        filename:
          description: |
            The name of the file to upload.
          type: string
        purpose:
          description: >
            The intended purpose of the uploaded file.


            See the [documentation on File
            purposes](/docs/api-reference/files/create#files-create-purpose).
          type: string
          enum:
            - assistants
            - batch
            - fine-tune
            - vision
        bytes:
          description: |
            The number of bytes in the file you are uploading.
          type: integer
        mime_type:
          description: >
            The MIME type of the file.


            This must fall within the supported MIME types for your file
            purpose. See the supported MIME types for assistants and vision.
          type: string
      required:
        - filename
        - purpose
        - bytes
        - mime_type
    CreateVectorStoreFileBatchRequest:
      type: object
      additionalProperties: false
      properties:
        file_ids:
          description: A list of [File](/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"
        attributes:
          $ref: "#/components/schemas/VectorStoreFileAttributes"
      required:
        - file_ids
    CreateVectorStoreFileRequest:
      type: object
      additionalProperties: false
      properties:
        file_id:
          description: A [File](/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"
        attributes:
          $ref: "#/components/schemas/VectorStoreFileAttributes"
      required:
        - file_id
    CreateVectorStoreRequest:
      type: object
      additionalProperties: false
      properties:
        file_ids:
          description: A list of [File](/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"
        metadata:
          $ref: "#/components/schemas/Metadata"
    DeleteAssistantResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
          enum:
            - assistant.deleted
          x-stainless-const: true
      required:
        - id
        - object
        - deleted
    DeleteCertificateResponse:
      type: object
      properties:
        object:
          type: string
          description: The object type, must be `certificate.deleted`.
          enum:
            - certificate.deleted
          x-stainless-const: true
        id:
          type: string
          description: The ID of the certificate that was deleted.
      required:
        - object
        - id
    DeleteFileResponse:
      type: object
      properties:
        id:
          type: string
        object:
          type: string
          enum:
            - file
          x-stainless-const: true
        deleted:
          type: boolean
      required:
        - id
        - object
        - deleted
    DeleteFineTuningCheckpointPermissionResponse:
      type: object
      properties:
        id:
          type: string
          description: The ID of the fine-tuned model checkpoint permission that was
            deleted.
        object:
          type: string
          description: The object type, which is always "checkpoint.permission".
          enum:
            - checkpoint.permission
          x-stainless-const: true
        deleted:
          type: boolean
          description: Whether the fine-tuned model checkpoint permission was successfully
            deleted.
      required:
        - id
        - object
        - deleted
    DeleteMessageResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
          enum:
            - thread.message.deleted
          x-stainless-const: true
      required:
        - id
        - object
        - deleted
    DeleteModelResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
      required:
        - id
        - object
        - deleted
    DeleteThreadResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
          enum:
            - thread.deleted
          x-stainless-const: true
      required:
        - id
        - object
        - deleted
    DeleteVectorStoreFileResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
          enum:
            - vector_store.file.deleted
          x-stainless-const: true
      required:
        - id
        - object
        - deleted
    DeleteVectorStoreResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
          enum:
            - vector_store.deleted
          x-stainless-const: true
      required:
        - id
        - object
        - deleted
    DoneEvent:
      type: object
      properties:
        event:
          type: string
          enum:
            - done
          x-stainless-const: true
        data:
          type: string
          enum:
            - "[DONE]"
          x-stainless-const: true
      required:
        - event
        - data
      description: Occurs when a stream ends.
      x-oaiMeta:
        dataDescription: "`data` is `[DONE]`"
    DoubleClick:
      type: object
      title: DoubleClick
      description: |
        A double click action.
      properties:
        type:
          type: string
          enum:
            - double_click
          default: double_click
          description: >
            Specifies the event type. For a double click action, this property
            is 

            always set to `double_click`.
          x-stainless-const: true
        x:
          type: integer
          description: |
            The x-coordinate where the double click occurred.
        y:
          type: integer
          description: |
            The y-coordinate where the double click occurred.
      required:
        - type
        - x
        - y
    Drag:
      type: object
      title: Drag
      description: |
        A drag action.
      properties:
        type:
          type: string
          enum:
            - drag
          default: drag
          description: |
            Specifies the event type. For a drag action, this property is 
            always set to `drag`.
          x-stainless-const: true
        path:
          type: array
          description: >
            An array of coordinates representing the path of the drag action.
            Coordinates will appear as an array

            of objects, eg

            ```

            [
              { x: 100, y: 200 },
              { x: 200, y: 300 }
            ]

            ```
          items:
            title: Drag path coordinates
            description: |
              A series of x/y coordinate pairs in the drag path.
            $ref: "#/components/schemas/Coordinate"
      required:
        - type
        - path
    EasyInputMessage:
      type: object
      title: Input message
      description: >
        A message input to the model with a role indicating instruction
        following

        hierarchy. Instructions given with the `developer` or `system` role take

        precedence over instructions given with the `user` role. Messages with
        the

        `assistant` role are presumed to have been generated by the model in
        previous

        interactions.
      properties:
        role:
          type: string
          description: >
            The role of the message input. One of `user`, `assistant`, `system`,
            or

            `developer`.
          enum:
            - user
            - assistant
            - system
            - developer
        content:
          description: >
            Text, image, or audio input to the model, used to generate a
            response.

            Can also contain previous assistant responses.
          oneOf:
            - type: string
              title: Text input
              description: |
                A text input to the model.
            - $ref: "#/components/schemas/InputMessageContentList"
        type:
          type: string
          description: |
            The type of the message input. Always `message`.
          enum:
            - message
          x-stainless-const: true
      required:
        - role
        - content
    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](/docs/guides/embeddings).
          items:
            type: number
        object:
          type: string
          description: The object type, which is always "embedding".
          enum:
            - embedding
          x-stainless-const: true
      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
          }
    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
    ErrorEvent:
      type: object
      properties:
        event:
          type: string
          enum:
            - error
          x-stainless-const: true
        data:
          $ref: "#/components/schemas/Error"
      required:
        - event
        - data
      description: Occurs when an [error](/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](/docs/guides/error-codes#api-errors)"
    ErrorResponse:
      type: object
      properties:
        error:
          $ref: "#/components/schemas/Error"
      required:
        - error
    Eval:
      type: object
      title: Eval
      description: |
        An Eval object with a data source config and testing criteria.
        An Eval represents a task to be done for your LLM integration.
        Like:
         - Improve the quality of my chatbot
         - See how well my chatbot handles customer support
         - Check if o3-mini is better at my usecase than gpt-4o
      properties:
        object:
          type: string
          enum:
            - eval
          default: eval
          description: The object type.
          x-stainless-const: true
        id:
          type: string
          description: Unique identifier for the evaluation.
        name:
          type: string
          description: The name of the evaluation.
          example: Chatbot effectiveness Evaluation
        data_source_config:
          type: object
          description: Configuration of data sources used in runs of the evaluation.
          oneOf:
            - $ref: "#/components/schemas/EvalCustomDataSourceConfig"
            - $ref: "#/components/schemas/EvalStoredCompletionsDataSourceConfig"
        testing_criteria:
          default: eval
          description: A list of testing criteria.
          type: array
          items:
            oneOf:
              - $ref: "#/components/schemas/EvalLabelModelGrader"
              - $ref: "#/components/schemas/EvalStringCheckGrader"
              - $ref: "#/components/schemas/EvalTextSimilarityGrader"
              - $ref: "#/components/schemas/EvalPythonGrader"
              - $ref: "#/components/schemas/EvalScoreModelGrader"
        created_at:
          type: integer
          description: The Unix timestamp (in seconds) for when the eval was created.
        metadata:
          $ref: "#/components/schemas/Metadata"
      required:
        - id
        - data_source_config
        - object
        - testing_criteria
        - name
        - created_at
        - metadata
      x-oaiMeta:
        name: The eval object
        group: evals
        example: |
          {
            "object": "eval",
            "id": "eval_67abd54d9b0081909a86353f6fb9317a",
            "data_source_config": {
              "type": "custom",
              "item_schema": {
                "type": "object",
                "properties": {
                  "label": {"type": "string"},
                },
                "required": ["label"]
              },
              "include_sample_schema": true
            },
            "testing_criteria": [
              {
                "name": "My string check grader",
                "type": "string_check",
                "input": "{{sample.output_text}}",
                "reference": "{{item.label}}",
                "operation": "eq",
              }
            ],
            "name": "External Data Eval",
            "created_at": 1739314509,
            "metadata": {
              "test": "synthetics",
            }
          }
    EvalApiError:
      type: object
      title: EvalApiError
      description: |
        An object representing an error response from the Eval API.
      properties:
        code:
          type: string
          description: The error code.
        message:
          type: string
          description: The error message.
      required:
        - code
        - message
      x-oaiMeta:
        name: The API error object
        group: evals
        example: |
          {
            "code": "internal_error",
            "message": "The eval run failed due to an internal error."
          }
    EvalCustomDataSourceConfig:
      type: object
      title: CustomDataSourceConfig
      description: >
        A CustomDataSourceConfig which specifies the schema of your `item` and
        optionally `sample` namespaces.

        The response schema defines the shape of the data that will be:

        - Used to define your testing criteria and

        - What data is required when creating a run
      properties:
        type:
          type: string
          enum:
            - custom
          default: custom
          description: The type of data source. Always `custom`.
          x-stainless-const: true
        schema:
          type: object
          description: |
            The json schema for the run data source items.
            Learn how to build JSON schemas [here](https://json-schema.org/).
          additionalProperties: true
          example: |
            {
              "type": "object",
              "properties": {
                "item": {
                  "type": "object",
                  "properties": {
                    "label": {"type": "string"},
                  },
                  "required": ["label"]
                }
              },
              "required": ["item"]
            }
      required:
        - type
        - schema
      x-oaiMeta:
        name: The eval custom data source config object
        group: evals
        example: |
          {
            "type": "custom",
            "schema": {
              "type": "object",
              "properties": {
                "item": {
                  "type": "object",
                  "properties": {
                    "label": {"type": "string"},
                  },
                  "required": ["label"]
                }
              },
              "required": ["item"]
            }
          }
    EvalItem:
      type: object
      title: Eval message object
      description: >
        A message input to the model with a role indicating instruction
        following

        hierarchy. Instructions given with the `developer` or `system` role take

        precedence over instructions given with the `user` role. Messages with
        the

        `assistant` role are presumed to have been generated by the model in
        previous

        interactions.
      properties:
        role:
          type: string
          description: >
            The role of the message input. One of `user`, `assistant`, `system`,
            or

            `developer`.
          enum:
            - user
            - assistant
            - system
            - developer
        content:
          description: |
            Text inputs to the model - can contain template strings.
          oneOf:
            - type: string
              title: Text input
              description: |
                A text input to the model.
            - $ref: "#/components/schemas/InputTextContent"
            - type: object
              title: Output text
              description: |
                A text output from the model.
              properties:
                type:
                  type: string
                  description: |
                    The type of the output text. Always `output_text`.
                  enum:
                    - output_text
                  x-stainless-const: true
                text:
                  type: string
                  description: |
                    The text output from the model.
              required:
                - type
                - text
        type:
          type: string
          description: |
            The type of the message input. Always `message`.
          enum:
            - message
          x-stainless-const: true
      required:
        - role
        - content
    EvalJsonlFileContentSource:
      type: object
      title: EvalJsonlFileContentSource
      properties:
        type:
          type: string
          enum:
            - file_content
          default: file_content
          description: The type of jsonl source. Always `file_content`.
          x-stainless-const: true
        content:
          type: array
          items:
            type: object
            properties:
              item:
                type: object
                additionalProperties: true
              sample:
                type: object
                additionalProperties: true
            required:
              - item
          description: The content of the jsonl file.
      required:
        - type
        - content
    EvalJsonlFileIdSource:
      type: object
      title: EvalJsonlFileIdSource
      properties:
        type:
          type: string
          enum:
            - file_id
          default: file_id
          description: The type of jsonl source. Always `file_id`.
          x-stainless-const: true
        id:
          type: string
          description: The identifier of the file.
      required:
        - type
        - id
    EvalLabelModelGrader:
      type: object
      title: LabelModelGrader
      description: >
        A LabelModelGrader object which uses a model to assign labels to each
        item

        in the evaluation.
      properties:
        type:
          description: The object type, which is always `label_model`.
          type: string
          enum:
            - label_model
          x-stainless-const: true
        name:
          type: string
          description: The name of the grader.
        model:
          type: string
          description: The model to use for the evaluation. Must support structured outputs.
        input:
          type: array
          items:
            $ref: "#/components/schemas/EvalItem"
        labels:
          type: array
          items:
            type: string
          description: The labels to assign to each item in the evaluation.
        passing_labels:
          type: array
          items:
            type: string
          description: The labels that indicate a passing result. Must be a subset of
            labels.
      required:
        - type
        - model
        - input
        - passing_labels
        - labels
        - name
      x-oaiMeta:
        name: The eval label model grader object
        group: evals
        example: >
          {
            "name": "First label grader",
            "type": "label_model",
            "model": "gpt-4o-2024-08-06",
            "input": [
              {
                "type": "message",
                "role": "system",
                "content": {
                  "type": "input_text",
                  "text": "Classify the sentiment of the following statement as one of positive, neutral, or negative"
                }
              },
              {
                "type": "message",
                "role": "user",
                "content": {
                  "type": "input_text",
                  "text": "Statement: {{item.response}}"
                }
              }
            ],
            "passing_labels": [
              "positive"
            ],
            "labels": [
              "positive",
              "neutral",
              "negative"
            ]
          }
    EvalList:
      type: object
      title: EvalList
      description: |
        An object representing a list of evals.
      properties:
        object:
          type: string
          enum:
            - list
          default: list
          description: |
            The type of this object. It is always set to "list".
          x-stainless-const: true
        data:
          type: array
          description: |
            An array of eval objects.
          items:
            $ref: "#/components/schemas/Eval"
        first_id:
          type: string
          description: The identifier of the first eval in the data array.
        last_id:
          type: string
          description: The identifier of the last eval in the data array.
        has_more:
          type: boolean
          description: Indicates whether there are more evals available.
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more
      x-oaiMeta:
        name: The eval list object
        group: evals
        example: |
          {
            "object": "list",
            "data": [
              {
                "object": "eval",
                "id": "eval_67abd54d9b0081909a86353f6fb9317a",
                "data_source_config": {
                  "type": "custom",
                  "schema": {
                    "type": "object",
                    "properties": {
                      "item": {
                        "type": "object",
                        "properties": {
                          "input": {
                            "type": "string"
                          },
                          "ground_truth": {
                            "type": "string"
                          }
                        },
                        "required": [
                          "input",
                          "ground_truth"
                        ]
                      }
                    },
                    "required": [
                      "item"
                    ]
                  }
                },
                "testing_criteria": [
                  {
                    "name": "String check",
                    "id": "String check-2eaf2d8d-d649-4335-8148-9535a7ca73c2",
                    "type": "string_check",
                    "input": "{{item.input}}",
                    "reference": "{{item.ground_truth}}",
                    "operation": "eq"
                  }
                ],
                "name": "External Data Eval",
                "created_at": 1739314509,
                "metadata": {},
              }
            ],
            "first_id": "eval_67abd54d9b0081909a86353f6fb9317a",
            "last_id": "eval_67abd54d9b0081909a86353f6fb9317a",
            "has_more": true
          }
    EvalPythonGrader:
      type: object
      title: PythonGrader
      description: |
        A PythonGrader object that runs a python script on the input.
      properties:
        type:
          type: string
          enum:
            - python
          description: The object type, which is always `python`.
          x-stainless-const: true
        name:
          type: string
          description: The name of the grader.
        source:
          type: string
          description: The source code of the python script.
        pass_threshold:
          type: number
          description: The threshold for the score.
        image_tag:
          type: string
          description: The image tag to use for the python script.
      required:
        - type
        - name
        - source
      x-oaiMeta:
        name: The eval python grader object
        group: evals
        example: |
          {
            "type": "string_check",
            "name": "Example string check grader",
            "input": "{{sample.output_text}}",
            "reference": "{{item.label}}",
            "operation": "eq"
          }
    EvalResponsesSource:
      type: object
      title: EvalResponsesSource
      description: |
        A EvalResponsesSource object describing a run data source configuration.
      properties:
        type:
          type: string
          enum:
            - responses
          description: The type of run data source. Always `responses`.
        metadata:
          type: object
          nullable: true
          description: Metadata filter for the responses. This is a query parameter used
            to select responses.
        model:
          type: string
          nullable: true
          description: The name of the model to find responses for. This is a query
            parameter used to select responses.
        instructions_search:
          type: string
          nullable: true
          description: Optional search string for instructions. This is a query parameter
            used to select responses.
        created_after:
          type: integer
          minimum: 0
          nullable: true
          description: Only include items created after this timestamp (inclusive). This
            is a query parameter used to select responses.
        created_before:
          type: integer
          minimum: 0
          nullable: true
          description: Only include items created before this timestamp (inclusive). This
            is a query parameter used to select responses.
        has_tool_calls:
          type: boolean
          nullable: true
          description: Whether the response has tool calls. This is a query parameter used
            to select responses.
        reasoning_effort:
          $ref: "#/components/schemas/ReasoningEffort"
          nullable: true
          description: Optional reasoning effort parameter. This is a query parameter used
            to select responses.
        temperature:
          type: number
          nullable: true
          description: Sampling temperature. This is a query parameter used to select
            responses.
        top_p:
          type: number
          nullable: true
          description: Nucleus sampling parameter. This is a query parameter used to
            select responses.
        users:
          type: array
          items:
            type: string
          nullable: true
          description: List of user identifiers. This is a query parameter used to select
            responses.
        allow_parallel_tool_calls:
          type: boolean
          nullable: true
          description: Whether to allow parallel tool calls. This is a query parameter
            used to select responses.
      required:
        - type
      x-oaiMeta:
        name: The run data source object used to configure an individual run
        group: eval runs
        example: |
          {
            "type": "responses",
            "model": "gpt-4o-mini-2024-07-18",
            "temperature": 0.7,
            "top_p": 1.0,
            "users": ["user1", "user2"],
            "allow_parallel_tool_calls": true
          }
    EvalRun:
      type: object
      title: EvalRun
      description: |
        A schema representing an evaluation run.
      properties:
        object:
          type: string
          enum:
            - eval.run
          default: eval.run
          description: The type of the object. Always "eval.run".
          x-stainless-const: true
        id:
          type: string
          description: Unique identifier for the evaluation run.
        eval_id:
          type: string
          description: The identifier of the associated evaluation.
        status:
          type: string
          description: The status of the evaluation run.
        model:
          type: string
          description: The model that is evaluated, if applicable.
        name:
          type: string
          description: The name of the evaluation run.
        created_at:
          type: integer
          description: Unix timestamp (in seconds) when the evaluation run was created.
        report_url:
          type: string
          description: The URL to the rendered evaluation run report on the UI dashboard.
        result_counts:
          type: object
          description: Counters summarizing the outcomes of the evaluation run.
          properties:
            total:
              type: integer
              description: Total number of executed output items.
            errored:
              type: integer
              description: Number of output items that resulted in an error.
            failed:
              type: integer
              description: Number of output items that failed to pass the evaluation.
            passed:
              type: integer
              description: Number of output items that passed the evaluation.
          required:
            - total
            - errored
            - failed
            - passed
        per_model_usage:
          type: array
          description: Usage statistics for each model during the evaluation run.
          items:
            type: object
            properties:
              model_name:
                type: string
                description: The name of the model.
              invocation_count:
                type: integer
                description: The number of invocations.
              prompt_tokens:
                type: integer
                description: The number of prompt tokens used.
              completion_tokens:
                type: integer
                description: The number of completion tokens generated.
              total_tokens:
                type: integer
                description: The total number of tokens used.
              cached_tokens:
                type: integer
                description: The number of tokens retrieved from cache.
            required:
              - model_name
              - invocation_count
              - prompt_tokens
              - completion_tokens
              - total_tokens
              - cached_tokens
        per_testing_criteria_results:
          type: array
          description: Results per testing criteria applied during the evaluation run.
          items:
            type: object
            properties:
              testing_criteria:
                type: string
                description: A description of the testing criteria.
              passed:
                type: integer
                description: Number of tests passed for this criteria.
              failed:
                type: integer
                description: Number of tests failed for this criteria.
            required:
              - testing_criteria
              - passed
              - failed
        data_source:
          type: object
          description: Information about the run's data source.
          oneOf:
            - $ref: "#/components/schemas/CreateEvalJsonlRunDataSource"
            - $ref: "#/components/schemas/CreateEvalCompletionsRunDataSource"
            - $ref: "#/components/schemas/CreateEvalResponsesRunDataSource"
        metadata:
          $ref: "#/components/schemas/Metadata"
        error:
          $ref: "#/components/schemas/EvalApiError"
      required:
        - object
        - id
        - eval_id
        - status
        - model
        - name
        - created_at
        - report_url
        - result_counts
        - per_model_usage
        - per_testing_criteria_results
        - data_source
        - metadata
        - error
      x-oaiMeta:
        name: The eval run object
        group: evals
        example: >
          {
            "object": "eval.run",
            "id": "evalrun_67e57965b480819094274e3a32235e4c",
            "eval_id": "eval_67e579652b548190aaa83ada4b125f47",
            "report_url": "https://platform.openai.com/evaluations/eval_67e579652b548190aaa83ada4b125f47?run_id=evalrun_67e57965b480819094274e3a32235e4c",
            "status": "queued",
            "model": "gpt-4o-mini",
            "name": "gpt-4o-mini",
            "created_at": 1743092069,
            "result_counts": {
              "total": 0,
              "errored": 0,
              "failed": 0,
              "passed": 0
            },
            "per_model_usage": null,
            "per_testing_criteria_results": null,
            "data_source": {
              "type": "completions",
              "source": {
                "type": "file_content",
                "content": [
                  {
                    "item": {
                      "input": "Tech Company Launches Advanced Artificial Intelligence Platform",
                      "ground_truth": "Technology"
                    }
                  },
                  {
                    "item": {
                      "input": "Central Bank Increases Interest Rates Amid Inflation Concerns",
                      "ground_truth": "Markets"
                    }
                  },
                  {
                    "item": {
                      "input": "International Summit Addresses Climate Change Strategies",
                      "ground_truth": "World"
                    }
                  },
                  {
                    "item": {
                      "input": "Major Retailer Reports Record-Breaking Holiday Sales",
                      "ground_truth": "Business"
                    }
                  },
                  {
                    "item": {
                      "input": "National Team Qualifies for World Championship Finals",
                      "ground_truth": "Sports"
                    }
                  },
                  {
                    "item": {
                      "input": "Stock Markets Rally After Positive Economic Data Released",
                      "ground_truth": "Markets"
                    }
                  },
                  {
                    "item": {
                      "input": "Global Manufacturer Announces Merger with Competitor",
                      "ground_truth": "Business"
                    }
                  },
                  {
                    "item": {
                      "input": "Breakthrough in Renewable Energy Technology Unveiled",
                      "ground_truth": "Technology"
                    }
                  },
                  {
                    "item": {
                      "input": "World Leaders Sign Historic Climate Agreement",
                      "ground_truth": "World"
                    }
                  },
                  {
                    "item": {
                      "input": "Professional Athlete Sets New Record in Championship Event",
                      "ground_truth": "Sports"
                    }
                  },
                  {
                    "item": {
                      "input": "Financial Institutions Adapt to New Regulatory Requirements",
                      "ground_truth": "Business"
                    }
                  },
                  {
                    "item": {
                      "input": "Tech Conference Showcases Advances in Artificial Intelligence",
                      "ground_truth": "Technology"
                    }
                  },
                  {
                    "item": {
                      "input": "Global Markets Respond to Oil Price Fluctuations",
                      "ground_truth": "Markets"
                    }
                  },
                  {
                    "item": {
                      "input": "International Cooperation Strengthened Through New Treaty",
                      "ground_truth": "World"
                    }
                  },
                  {
                    "item": {
                      "input": "Sports League Announces Revised Schedule for Upcoming Season",
                      "ground_truth": "Sports"
                    }
                  }
                ]
              },
              "input_messages": {
                "type": "template",
                "template": [
                  {
                    "type": "message",
                    "role": "developer",
                    "content": {
                      "type": "input_text",
                      "text": "Categorize a given news headline into one of the following topics: Technology, Markets, World, Business, or Sports.\n\n# Steps\n\n1. Analyze the content of the news headline to understand its primary focus.\n2. Extract the subject matter, identifying any key indicators or keywords.\n3. Use the identified indicators to determine the most suitable category out of the five options: Technology, Markets, World, Business, or Sports.\n4. Ensure only one category is selected per headline.\n\n# Output Format\n\nRespond with the chosen category as a single word. For instance: \"Technology\", \"Markets\", \"World\", \"Business\", or \"Sports\".\n\n# Examples\n\n**Input**: \"Apple Unveils New iPhone Model, Featuring Advanced AI Features\"  \n**Output**: \"Technology\"\n\n**Input**: \"Global Stocks Mixed as Investors Await Central Bank Decisions\"  \n**Output**: \"Markets\"\n\n**Input**: \"War in Ukraine: Latest Updates on Negotiation Status\"  \n**Output**: \"World\"\n\n**Input**: \"Microsoft in Talks to Acquire Gaming Company for $2 Billion\"  \n**Output**: \"Business\"\n\n**Input**: \"Manchester United Secures Win in Premier League Football Match\"  \n**Output**: \"Sports\" \n\n# Notes\n\n- If the headline appears to fit into more than one category, choose the most dominant theme.\n- Keywords or phrases such as \"stocks\", \"company acquisition\", \"match\", or technological brands can be good indicators for classification.\n"
                    }
                  },
                  {
                    "type": "message",
                    "role": "user",
                    "content": {
                      "type": "input_text",
                      "text": "{{item.input}}"
                    }
                  }
                ]
              },
              "model": "gpt-4o-mini",
              "sampling_params": {
                "seed": 42,
                "temperature": 1.0,
                "top_p": 1.0,
                "max_completions_tokens": 2048
              }
            },
            "error": null,
            "metadata": {}
          }
    EvalRunList:
      type: object
      title: EvalRunList
      description: |
        An object representing a list of runs for an evaluation.
      properties:
        object:
          type: string
          enum:
            - list
          default: list
          description: |
            The type of this object. It is always set to "list".
          x-stainless-const: true
        data:
          type: array
          description: |
            An array of eval run objects.
          items:
            $ref: "#/components/schemas/EvalRun"
        first_id:
          type: string
          description: The identifier of the first eval run in the data array.
        last_id:
          type: string
          description: The identifier of the last eval run in the data array.
        has_more:
          type: boolean
          description: Indicates whether there are more evals available.
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more
      x-oaiMeta:
        name: The eval run list object
        group: evals
        example: >
          {
            "object": "list",
            "data": [
              {
                "object": "eval.run",
                "id": "evalrun_67b7fbdad46c819092f6fe7a14189620",
                "eval_id": "eval_67b7fa9a81a88190ab4aa417e397ea21",
                "report_url": "https://platform.openai.com/evaluations/eval_67b7fa9a81a88190ab4aa417e397ea21?run_id=evalrun_67b7fbdad46c819092f6fe7a14189620",
                "status": "completed",
                "model": "o3-mini",
                "name": "Academic Assistant",
                "created_at": 1740110812,
                "result_counts": {
                  "total": 171,
                  "errored": 0,
                  "failed": 80,
                  "passed": 91
                },
                "per_model_usage": null,
                "per_testing_criteria_results": [
                  {
                    "testing_criteria": "String check grader",
                    "passed": 91,
                    "failed": 80
                  }
                ],
                "run_data_source": {
                  "type": "completions",
                  "template_messages": [
                    {
                      "type": "message",
                      "role": "system",
                      "content": {
                        "type": "input_text",
                        "text": "You are a helpful assistant."
                      }
                    },
                    {
                      "type": "message",
                      "role": "user",
                      "content": {
                        "type": "input_text",
                        "text": "Hello, can you help me with my homework?"
                      }
                    }
                  ],
                  "datasource_reference": null,
                  "model": "o3-mini",
                  "max_completion_tokens": null,
                  "seed": null,
                  "temperature": null,
                  "top_p": null
                },
                "error": null,
                "metadata": {"test": "synthetics"}
              }
            ],
            "first_id": "evalrun_67abd54d60ec8190832b46859da808f7",
            "last_id": "evalrun_67abd54d60ec8190832b46859da808f7",
            "has_more": false
          }
    EvalRunOutputItem:
      type: object
      title: EvalRunOutputItem
      description: |
        A schema representing an evaluation run output item.
      properties:
        object:
          type: string
          enum:
            - eval.run.output_item
          default: eval.run.output_item
          description: The type of the object. Always "eval.run.output_item".
          x-stainless-const: true
        id:
          type: string
          description: Unique identifier for the evaluation run output item.
        run_id:
          type: string
          description: The identifier of the evaluation run associated with this output
            item.
        eval_id:
          type: string
          description: The identifier of the evaluation group.
        created_at:
          type: integer
          description: Unix timestamp (in seconds) when the evaluation run was created.
        status:
          type: string
          description: The status of the evaluation run.
        datasource_item_id:
          type: integer
          description: The identifier for the data source item.
        datasource_item:
          type: object
          description: Details of the input data source item.
          additionalProperties: true
        results:
          type: array
          description: A list of results from the evaluation run.
          items:
            type: object
            description: A result object.
            additionalProperties: true
        sample:
          type: object
          description: A sample containing the input and output of the evaluation run.
          properties:
            input:
              type: array
              description: An array of input messages.
              items:
                type: object
                description: An input message.
                properties:
                  role:
                    type: string
                    description: The role of the message sender (e.g., system, user, developer).
                  content:
                    type: string
                    description: The content of the message.
                required:
                  - role
                  - content
            output:
              type: array
              description: An array of output messages.
              items:
                type: object
                properties:
                  role:
                    type: string
                    description: The role of the message (e.g. "system", "assistant", "user").
                  content:
                    type: string
                    description: The content of the message.
            finish_reason:
              type: string
              description: The reason why the sample generation was finished.
            model:
              type: string
              description: The model used for generating the sample.
            usage:
              type: object
              description: Token usage details for the sample.
              properties:
                total_tokens:
                  type: integer
                  description: The total number of tokens used.
                completion_tokens:
                  type: integer
                  description: The number of completion tokens generated.
                prompt_tokens:
                  type: integer
                  description: The number of prompt tokens used.
                cached_tokens:
                  type: integer
                  description: The number of tokens retrieved from cache.
              required:
                - total_tokens
                - completion_tokens
                - prompt_tokens
                - cached_tokens
            error:
              $ref: "#/components/schemas/EvalApiError"
            temperature:
              type: number
              description: The sampling temperature used.
            max_completion_tokens:
              type: integer
              description: The maximum number of tokens allowed for completion.
            top_p:
              type: number
              description: The top_p value used for sampling.
            seed:
              type: integer
              description: The seed used for generating the sample.
          required:
            - input
            - output
            - finish_reason
            - model
            - usage
            - error
            - temperature
            - max_completion_tokens
            - top_p
            - seed
      required:
        - object
        - id
        - run_id
        - eval_id
        - created_at
        - status
        - datasource_item_id
        - datasource_item
        - results
        - sample
      x-oaiMeta:
        name: The eval run output item object
        group: evals
        example: >
          {
            "object": "eval.run.output_item",
            "id": "outputitem_67abd55eb6548190bb580745d5644a33",
            "run_id": "evalrun_67abd54d60ec8190832b46859da808f7",
            "eval_id": "eval_67abd54d9b0081909a86353f6fb9317a",
            "created_at": 1739314509,
            "status": "pass",
            "datasource_item_id": 137,
            "datasource_item": {
                "teacher": "To grade essays, I only check for style, content, and grammar.",
                "student": "I am a student who is trying to write the best essay."
            },
            "results": [
              {
                "name": "String Check Grader",
                "type": "string-check-grader",
                "score": 1.0,
                "passed": true,
              }
            ],
            "sample": {
              "input": [
                {
                  "role": "system",
                  "content": "You are an evaluator bot..."
                },
                {
                  "role": "user",
                  "content": "You are assessing..."
                }
              ],
              "output": [
                {
                  "role": "assistant",
                  "content": "The rubric is not clear nor concise."
                }
              ],
              "finish_reason": "stop",
              "model": "gpt-4o-2024-08-06",
              "usage": {
                "total_tokens": 521,
                "completion_tokens": 2,
                "prompt_tokens": 519,
                "cached_tokens": 0
              },
              "error": null,
              "temperature": 1.0,
              "max_completion_tokens": 2048,
              "top_p": 1.0,
              "seed": 42
            }
          }
    EvalRunOutputItemList:
      type: object
      title: EvalRunOutputItemList
      description: |
        An object representing a list of output items for an evaluation run.
      properties:
        object:
          type: string
          enum:
            - list
          default: list
          description: |
            The type of this object. It is always set to "list".
          x-stainless-const: true
        data:
          type: array
          description: |
            An array of eval run output item objects.
          items:
            $ref: "#/components/schemas/EvalRunOutputItem"
        first_id:
          type: string
          description: The identifier of the first eval run output item in the data array.
        last_id:
          type: string
          description: The identifier of the last eval run output item in the data array.
        has_more:
          type: boolean
          description: Indicates whether there are more eval run output items available.
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more
      x-oaiMeta:
        name: The eval run output item list object
        group: evals
        example: >
          {
            "object": "list",
            "data": [
              {
                "object": "eval.run.output_item",
                "id": "outputitem_67abd55eb6548190bb580745d5644a33",
                "run_id": "evalrun_67abd54d60ec8190832b46859da808f7",
                "eval_id": "eval_67abd54d9b0081909a86353f6fb9317a",
                "created_at": 1739314509,
                "status": "pass",
                "datasource_item_id": 137,
                "datasource_item": {
                    "teacher": "To grade essays, I only check for style, content, and grammar.",
                    "student": "I am a student who is trying to write the best essay."
                },
                "results": [
                  {
                    "name": "String Check Grader",
                    "type": "string-check-grader",
                    "score": 1.0,
                    "passed": true,
                  }
                ],
                "sample": {
                  "input": [
                    {
                      "role": "system",
                      "content": "You are an evaluator bot..."
                    },
                    {
                      "role": "user",
                      "content": "You are assessing..."
                    }
                  ],
                  "output": [
                    {
                      "role": "assistant",
                      "content": "The rubric is not clear nor concise."
                    }
                  ],
                  "finish_reason": "stop",
                  "model": "gpt-4o-2024-08-06",
                  "usage": {
                    "total_tokens": 521,
                    "completion_tokens": 2,
                    "prompt_tokens": 519,
                    "cached_tokens": 0
                  },
                  "error": null,
                  "temperature": 1.0,
                  "max_completion_tokens": 2048,
                  "top_p": 1.0,
                  "seed": 42
                }
              },
            ],
            "first_id": "outputitem_67abd55eb6548190bb580745d5644a33",
            "last_id": "outputitem_67abd55eb6548190bb580745d5644a33",
            "has_more": false
          }
    EvalScoreModelGrader:
      type: object
      title: ScoreModelGrader
      description: >
        A ScoreModelGrader object that uses a model to assign a score to the
        input.
      properties:
        type:
          type: string
          enum:
            - score_model
          description: The object type, which is always `score_model`.
          x-stainless-const: true
        name:
          type: string
          description: The name of the grader.
        model:
          type: string
          description: The model to use for the evaluation.
        sampling_params:
          type: object
          description: The sampling parameters for the model.
        input:
          type: array
          items:
            $ref: "#/components/schemas/EvalItem"
          description: The input text. This may include template strings.
        pass_threshold:
          type: number
          description: The threshold for the score.
        range:
          type: array
          items:
            type: number
            min_items: 2
            max_items: 2
          description: The range of the score. Defaults to `[0, 1]`.
      required:
        - type
        - name
        - input
        - model
      x-oaiMeta:
        name: The eval score model grader object
        group: evals
        example: |
          {
            "type": "score_model",
            "name": "Example score model grader",
            "input": "{{sample.output_text}}",
            "reference": "{{item.label}}",
            "operation": "eq"
          }
    EvalStoredCompletionsDataSourceConfig:
      type: object
      title: StoredCompletionsDataSourceConfig
      description: >
        A StoredCompletionsDataSourceConfig which specifies the metadata
        property of your stored completions query.

        This is usually metadata like `usecase=chatbot` or `prompt-version=v2`,
        etc.

        The schema returned by this data source config is used to defined what
        variables are available in your evals.

        `item` and `sample` are both defined when using this data source config.
      properties:
        type:
          type: string
          enum:
            - stored_completions
          default: stored_completions
          description: The type of data source. Always `stored_completions`.
          x-stainless-const: true
        metadata:
          $ref: "#/components/schemas/Metadata"
        schema:
          type: object
          description: |
            The json schema for the run data source items.
            Learn how to build JSON schemas [here](https://json-schema.org/).
          additionalProperties: true
      required:
        - type
        - schema
      x-oaiMeta:
        name: The stored completions data source object for evals
        group: evals
        example: |
          {
            "type": "stored_completions",
            "metadata": {
              "language": "english"
            },
            "schema": {
              "type": "object",
              "properties": {
                "item": {
                  "type": "object"
                },
                "sample": {
                  "type": "object"
                }
              },
              "required": [
                "item",
                "sample"
              }
          }
    EvalStoredCompletionsSource:
      type: object
      title: StoredCompletionsRunDataSource
      description: >
        A StoredCompletionsRunDataSource configuration describing a set of
        filters
      properties:
        type:
          type: string
          enum:
            - stored_completions
          default: stored_completions
          description: The type of source. Always `stored_completions`.
          x-stainless-const: true
        metadata:
          $ref: "#/components/schemas/Metadata"
        model:
          type: string
          nullable: true
          description: An optional model to filter by (e.g., 'gpt-4o').
        created_after:
          type: integer
          nullable: true
          description: An optional Unix timestamp to filter items created after this time.
        created_before:
          type: integer
          nullable: true
          description: An optional Unix timestamp to filter items created before this time.
        limit:
          type: integer
          nullable: true
          description: An optional maximum number of items to return.
      required:
        - type
      x-oaiMeta:
        name: The stored completions data source object used to configure an individual
          run
        group: eval runs
        example: |
          {
            "type": "stored_completions",
            "model": "gpt-4o",
            "created_after": 1668124800,
            "created_before": 1668124900,
            "limit": 100,
            "metadata": {}
          }
    EvalStringCheckGrader:
      type: object
      title: StringCheckGrader
      description: >
        A StringCheckGrader object that performs a string comparison between
        input and reference using a specified operation.
      properties:
        type:
          type: string
          enum:
            - string_check
          description: The object type, which is always `string_check`.
          x-stainless-const: true
        name:
          type: string
          description: The name of the grader.
        input:
          type: string
          description: The input text. This may include template strings.
        reference:
          type: string
          description: The reference text. This may include template strings.
        operation:
          type: string
          enum:
            - eq
            - ne
            - like
            - ilike
          description: The string check operation to perform. One of `eq`, `ne`, `like`,
            or `ilike`.
      required:
        - type
        - name
        - input
        - reference
        - operation
      x-oaiMeta:
        name: The eval string check grader object
        group: evals
        example: |
          {
            "type": "string_check",
            "name": "Example string check grader",
            "input": "{{sample.output_text}}",
            "reference": "{{item.label}}",
            "operation": "eq"
          }
    EvalTextSimilarityGrader:
      type: object
      title: TextSimilarityGrader
      description: >
        A TextSimilarityGrader object which grades text based on similarity
        metrics.
      properties:
        type:
          type: string
          enum:
            - text_similarity
          default: text_similarity
          description: The type of grader.
          x-stainless-const: true
        name:
          type: string
          description: The name of the grader.
        input:
          type: string
          description: The text being graded.
        reference:
          type: string
          description: The text being graded against.
        pass_threshold:
          type: number
          description: A float score where a value greater than or equal indicates a
            passing grade.
        evaluation_metric:
          type: string
          enum:
            - fuzzy_match
            - bleu
            - gleu
            - meteor
            - rouge_1
            - rouge_2
            - rouge_3
            - rouge_4
            - rouge_5
            - rouge_l
          description: The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`,
            `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or
            `rouge_l`.
      required:
        - type
        - input
        - reference
        - pass_threshold
        - evaluation_metric
      x-oaiMeta:
        name: The eval text similarity grader object
        group: evals
        example: |
          {
            "type": "text_similarity",
            "name": "example text similarity grader",
            "input": "The graded text",
            "reference": "The reference text",
            "pass_threshold": 0.8,
            "evaluation_metric": "fuzzy_match"
          }
    FilePath:
      type: object
      title: File path
      description: |
        A path to a file.
      properties:
        type:
          type: string
          description: |
            The type of the file path. Always `file_path`.
          enum:
            - file_path
          x-stainless-const: true
        file_id:
          type: string
          description: |
            The ID of the file.
        index:
          type: integer
          description: |
            The index of the file in the list of files.
      required:
        - type
        - file_id
        - index
    FileSearchRanker:
      type: string
      description: The ranker to use for the file search. If not specified will use
        the `auto` ranker.
      enum:
        - auto
        - default_2024_08_21
    FileSearchRankingOptions:
      title: File search tool call ranking options
      type: object
      description: |
        The ranking options for the file search. If not specified, the file search tool will use the `auto` ranker and a score_threshold of 0.

        See the [file search tool documentation](/docs/assistants/tools/file-search#customizing-file-search-settings) for more information.
      properties:
        ranker:
          $ref: "#/components/schemas/FileSearchRanker"
        score_threshold:
          type: number
          description: The score threshold for the file search. All values must be a
            floating point number between 0 and 1.
          minimum: 0
          maximum: 1
      required:
        - score_threshold
    FileSearchToolCall:
      type: object
      title: File search tool call
      description: >
        The results of a file search tool call. See the 

        [file search guide](/docs/guides/tools-file-search) for more
        information.
      properties:
        id:
          type: string
          description: |
            The unique ID of the file search tool call.
        type:
          type: string
          enum:
            - file_search_call
          description: |
            The type of the file search tool call. Always `file_search_call`.
          x-stainless-const: true
        status:
          type: string
          description: |
            The status of the file search tool call. One of `in_progress`, 
            `searching`, `incomplete` or `failed`,
          enum:
            - in_progress
            - searching
            - completed
            - incomplete
            - failed
        queries:
          type: array
          items:
            type: string
          description: |
            The queries used to search for files.
        results:
          type: array
          description: |
            The results of the file search tool call.
          items:
            type: object
            properties:
              file_id:
                type: string
                description: |
                  The unique ID of the file.
              text:
                type: string
                description: |
                  The text that was retrieved from the file.
              filename:
                type: string
                description: |
                  The name of the file.
              attributes:
                $ref: "#/components/schemas/VectorStoreFileAttributes"
              score:
                type: number
                format: float
                description: |
                  The relevance score of the file - a value between 0 and 1.
          nullable: true
      required:
        - id
        - type
        - status
        - queries
    FineTuneChatCompletionRequestAssistantMessage:
      allOf:
        - type: object
          title: Assistant message
          deprecated: false
          properties:
            weight:
              type: integer
              enum:
                - 0
                - 1
              description: Controls whether the assistant message is trained against (0 or 1)
        - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage"
      required:
        - role
    FineTuneChatRequestInput:
      type: object
      description: The per-line training example of a fine-tuning input file for chat
        models using the supervised method.
      properties:
        messages:
          type: array
          minItems: 1
          items:
            oneOf:
              - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage"
              - $ref: "#/components/schemas/ChatCompletionRequestUserMessage"
              - $ref: "#/components/schemas/FineTuneChatCompletionRequestAssistantMessage"
              - $ref: "#/components/schemas/ChatCompletionRequestToolMessage"
              - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage"
        tools:
          type: array
          description: A list of tools the model may generate JSON inputs for.
          items:
            $ref: "#/components/schemas/ChatCompletionTool"
        parallel_tool_calls:
          $ref: "#/components/schemas/ParallelToolCalls"
        functions:
          deprecated: true
          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 using the supervised method
        example: >
          {
            "messages": [
              { "role": "user", "content": "What is the weather in San Francisco?" },
              {
                "role": "assistant",
                "tool_calls": [
                  {
                    "id": "call_id",
                    "type": "function",
                    "function": {
                      "name": "get_current_weather",
                      "arguments": "{\"location\": \"San Francisco, USA\", \"format\": \"celsius\"}"
                    }
                  }
                ]
              }
            ],
            "parallel_tool_calls": false,
            "tools": [
              {
                "type": "function",
                "function": {
                  "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"
          }
    FineTuneDPOMethod:
      type: object
      description: Configuration for the DPO fine-tuning method.
      properties:
        hyperparameters:
          type: object
          description: The hyperparameters used for the fine-tuning job.
          properties:
            beta:
              description: >
                The beta value for the DPO method. A higher beta value will
                increase the weight of the penalty between the policy and
                reference model.
              oneOf:
                - type: string
                  enum:
                    - auto
                  x-stainless-const: true
                - type: number
                  minimum: 0
                  maximum: 2
                  exclusiveMinimum: true
            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
                  x-stainless-const: true
                - type: integer
                  minimum: 1
                  maximum: 256
            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
                  x-stainless-const: true
                - type: number
                  minimum: 0
                  exclusiveMinimum: true
            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
                  x-stainless-const: true
                - type: integer
                  minimum: 1
                  maximum: 50
    FineTuneMethod:
      type: object
      description: The method used for fine-tuning.
      properties:
        type:
          type: string
          description: The type of method. Is either `supervised` or `dpo`.
          enum:
            - supervised
            - dpo
        supervised:
          $ref: "#/components/schemas/FineTuneSupervisedMethod"
        dpo:
          $ref: "#/components/schemas/FineTuneDPOMethod"
    FineTunePreferenceRequestInput:
      type: object
      description: The per-line training example of a fine-tuning input file for chat
        models using the dpo method.
      properties:
        input:
          type: object
          properties:
            messages:
              type: array
              minItems: 1
              items:
                oneOf:
                  - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage"
                  - $ref: "#/components/schemas/ChatCompletionRequestUserMessage"
                  - $ref: "#/components/schemas/FineTuneChatCompletionRequestAssistantMessage"
                  - $ref: "#/components/schemas/ChatCompletionRequestToolMessage"
                  - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage"
            tools:
              type: array
              description: A list of tools the model may generate JSON inputs for.
              items:
                $ref: "#/components/schemas/ChatCompletionTool"
            parallel_tool_calls:
              $ref: "#/components/schemas/ParallelToolCalls"
        preferred_completion:
          type: array
          description: The preferred completion message for the output.
          maxItems: 1
          items:
            oneOf:
              - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage"
        non_preferred_completion:
          type: array
          description: The non-preferred completion message for the output.
          maxItems: 1
          items:
            oneOf:
              - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage"
      x-oaiMeta:
        name: Training format for chat models using the preference method
        example: >
          {
            "input": {
              "messages": [
                { "role": "user", "content": "What is the weather in San Francisco?" }
              ]
            },
            "preferred_completion": [
              {
                "role": "assistant",
                "content": "The weather in San Francisco is 70 degrees Fahrenheit."
              }
            ],
            "non_preferred_completion": [
              {
                "role": "assistant",
                "content": "The weather in San Francisco is 21 degrees Celsius."
              }
            ]
          }
    FineTuneSupervisedMethod:
      type: object
      description: Configuration for the supervised fine-tuning method.
      properties:
        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
                  x-stainless-const: true
                - type: integer
                  minimum: 1
                  maximum: 256
            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
                  x-stainless-const: true
                - type: number
                  minimum: 0
                  exclusiveMinimum: true
            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
                  x-stainless-const: true
                - type: integer
                  minimum: 1
                  maximum: 50
    FineTuningCheckpointPermission:
      type: object
      title: FineTuningCheckpointPermission
      description: >
        The `checkpoint.permission` object represents a permission for a
        fine-tuned model checkpoint.
      properties:
        id:
          type: string
          description: The permission identifier, which can be referenced in the API
            endpoints.
        created_at:
          type: integer
          description: The Unix timestamp (in seconds) for when the permission was created.
        project_id:
          type: string
          description: The project identifier that the permission is for.
        object:
          type: string
          description: The object type, which is always "checkpoint.permission".
          enum:
            - checkpoint.permission
          x-stainless-const: true
      required:
        - created_at
        - id
        - object
        - project_id
      x-oaiMeta:
        name: The fine-tuned model checkpoint permission object
        example: |
          {
            "object": "checkpoint.permission",
            "id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
            "created_at": 1712211699,
            "project_id": "proj_abGMw1llN8IrBb6SvvY5A1iH"
          }
    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
          x-stainless-const: true
        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
    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. This value will
            only be returned when running `supervised` jobs.
          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
                  x-stainless-const: true
                - type: integer
                  minimum: 1
                  maximum: 256
            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
                  x-stainless-const: true
                - type: number
                  minimum: 0
                  exclusiveMinimum: true
            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
                  x-stainless-const: true
                - type: integer
                  minimum: 1
                  maximum: 50
        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
          x-stainless-const: true
        organization_id:
          type: string
          description: The organization that owns the fine-tuning job.
        result_files:
          type: array
          description: The compiled results file ID(s) for the fine-tuning job. You can
            retrieve the results with the [Files
            API](/docs/api-reference/files/retrieve-contents).
          items:
            type: string
            example: file-abc123
        status:
          type: string
          description: The current status of the fine-tuning job, which can be either
            `validating_files`, `queued`, `running`, `succeeded`, `failed`, or
            `cancelled`.
          enum:
            - validating_files
            - queued
            - running
            - succeeded
            - failed
            - cancelled
        trained_tokens:
          type: integer
          nullable: true
          description: The total number of billable tokens processed by this fine-tuning
            job. The value will be null if the fine-tuning job is still running.
        training_file:
          type: string
          description: The file ID used for training. You can retrieve the training data
            with the [Files API](/docs/api-reference/files/retrieve-contents).
        validation_file:
          type: string
          nullable: true
          description: The file ID used for validation. You can retrieve the validation
            results with the [Files
            API](/docs/api-reference/files/retrieve-contents).
        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"
        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.
        method:
          $ref: "#/components/schemas/FineTuneMethod"
        metadata:
          $ref: "#/components/schemas/Metadata"
      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: |
          {
            "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,
            "method": {
              "type": "supervised",
              "supervised": {
                "hyperparameters": {
                  "n_epochs": 4,
                  "batch_size": 1,
                  "learning_rate_multiplier": 1.0
                }
              }
            },
            "metadata": {
              "key": "value"
            }
          }
    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
          x-stainless-const: true
      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-4o-mini-2024-07-18: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
          }
    FineTuningJobEvent:
      type: object
      description: Fine-tuning job event object
      properties:
        object:
          type: string
          description: The object type, which is always "fine_tuning.job.event".
          enum:
            - fine_tuning.job.event
          x-stainless-const: true
        id:
          type: string
          description: The object identifier.
        created_at:
          type: integer
          description: The Unix timestamp (in seconds) for when the fine-tuning job was
            created.
        level:
          type: string
          description: The log level of the event.
          enum:
            - info
            - warn
            - error
        message:
          type: string
          description: The message of the event.
        type:
          type: string
          description: The type of event.
          enum:
            - message
            - metrics
        data:
          type: object
          description: The data associated with the 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",
            "data": {},
            "type": "message"
          }
    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"
        strict:
          type: boolean
          nullable: true
          default: false
          description: Whether to enable strict schema adherence when generating the
            function call. If set to true, the model will follow the exact
            schema defined in the `parameters` field. Only a subset of JSON
            Schema is supported when `strict` is `true`. Learn more about
            Structured Outputs in the [function calling
            guide](docs/guides/function-calling).
      required:
        - name
    FunctionParameters:
      type: object
      description: >-
        The parameters the functions accepts, described as a JSON Schema object.
        See the [guide](/docs/guides/function-calling) for examples, and the
        [JSON Schema
        reference](https://json-schema.org/understanding-json-schema/) for
        documentation about the format. 


        Omitting `parameters` defines a function with an empty parameter list.
      additionalProperties: true
    FunctionToolCall:
      type: object
      title: Function tool call
      description: >
        A tool call to run a function. See the 

        [function calling guide](/docs/guides/function-calling) for more
        information.
      properties:
        id:
          type: string
          description: |
            The unique ID of the function tool call.
        type:
          type: string
          enum:
            - function_call
          description: |
            The type of the function tool call. Always `function_call`.
          x-stainless-const: true
        call_id:
          type: string
          description: |
            The unique ID of the function tool call generated by the model.
        name:
          type: string
          description: |
            The name of the function to run.
        arguments:
          type: string
          description: |
            A JSON string of the arguments to pass to the function.
        status:
          type: string
          description: |
            The status of the item. One of `in_progress`, `completed`, or
            `incomplete`. Populated when items are returned via API.
          enum:
            - in_progress
            - completed
            - incomplete
      required:
        - type
        - call_id
        - name
        - arguments
    FunctionToolCallOutput:
      type: object
      title: Function tool call output
      description: |
        The output of a function tool call.
      properties:
        id:
          type: string
          description: >
            The unique ID of the function tool call output. Populated when this
            item

            is returned via API.
        type:
          type: string
          enum:
            - function_call_output
          description: >
            The type of the function tool call output. Always
            `function_call_output`.
          x-stainless-const: true
        call_id:
          type: string
          description: |
            The unique ID of the function tool call generated by the model.
        output:
          type: string
          description: |
            A JSON string of the output of the function tool call.
        status:
          type: string
          description: |
            The status of the item. One of `in_progress`, `completed`, or
            `incomplete`. Populated when items are returned via API.
          enum:
            - in_progress
            - completed
            - incomplete
      required:
        - type
        - call_id
        - output
    FunctionToolCallOutputResource:
      allOf:
        - $ref: "#/components/schemas/FunctionToolCallOutput"
        - type: object
          properties:
            id:
              type: string
              description: |
                The unique ID of the function call tool output.
          required:
            - id
    FunctionToolCallResource:
      allOf:
        - $ref: "#/components/schemas/FunctionToolCall"
        - type: object
          properties:
            id:
              type: string
              description: |
                The unique ID of the function tool call.
          required:
            - id
    Image:
      type: object
      description: Represents the content or the URL of an image generated by the
        OpenAI API.
      properties:
        b64_json:
          type: string
          description: The base64-encoded JSON of the generated image. Default value for
            `gpt-image-1`, and only present if `response_format` is set to
            `b64_json` for `dall-e-2` and `dall-e-3`.
        url:
          type: string
          description: When using `dall-e-2` or `dall-e-3`, the URL of the generated image
            if `response_format` is set to `url` (default value). Unsupported
            for `gpt-image-1`.
        revised_prompt:
          type: string
          description: For `dall-e-3` only, the revised prompt that was used to generate
            the image.
    ImagesResponse:
      type: object
      title: Image generation response
      description: The response from the image generation endpoint.
      properties:
        created:
          type: integer
          description: The Unix timestamp (in seconds) of when the image was created.
        data:
          type: array
          description: The list of generated images.
          items:
            $ref: "#/components/schemas/Image"
        usage:
          type: object
          description: >
            For `gpt-image-1` only, the token usage information for the image
            generation.
          required:
            - total_tokens
            - input_tokens
            - output_tokens
            - input_tokens_details
          properties:
            total_tokens:
              type: integer
              description: The total number of tokens (images and text) used for the image
                generation.
            input_tokens:
              type: integer
              description: The number of tokens (images and text) in the input prompt.
            output_tokens:
              type: integer
              description: The number of image tokens in the output image.
            input_tokens_details: