openapi: 3.0.0
info:
  title: OpenAI Assistants Models API
  description: The Assistants API allows you to build AI assistants within your own applications. An Assistant has instructions and can leverage models, tools, and knowledge to respond to user queries. The Assistants API currently supports three types of tools - Code Interpreter, Retrieval, and Function calling. In the future, we plan to release more OpenAI-built tools, and allow you to provide your own tools on our platform.
  version: 2.0.0
  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: Models
  description: List and describe the various models available in the API.
paths:
  /models:
    get:
      operationId: listModels
      tags:
      - Models
      summary: OpenAI 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 \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\"\n"
            python: 'from openai import OpenAI

              client = OpenAI()


              client.models.list()

              '
            node.js: "import OpenAI from \"openai\";\n\nconst openai = new OpenAI();\n\nasync function main() {\n  const list = await openai.models.list();\n\n  for await (const model of list) {\n    console.log(model);\n  }\n}\nmain();"
          response: "{\n  \"object\": \"list\",\n  \"data\": [\n    {\n      \"id\": \"model-id-0\",\n      \"object\": \"model\",\n      \"created\": 1686935002,\n      \"owned_by\": \"organization-owner\"\n    },\n    {\n      \"id\": \"model-id-1\",\n      \"object\": \"model\",\n      \"created\": 1686935002,\n      \"owned_by\": \"organization-owner\",\n    },\n    {\n      \"id\": \"model-id-2\",\n      \"object\": \"model\",\n      \"created\": 1686935002,\n      \"owned_by\": \"openai\"\n    },\n  ],\n  \"object\": \"list\"\n}\n"
  /models/{model}:
    get:
      operationId: retrieveModel
      tags:
      - Models
      summary: OpenAI 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-3.5-turbo
        description: The ID of the model to use for this request
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Model'
      x-oaiMeta:
        name: Retrieve model
        group: models
        returns: The [model](/docs/api-reference/models/object) object matching the specified ID.
        examples:
          request:
            curl: "curl https://api.openai.com/v1/models/VAR_model_id \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\"\n"
            python: 'from openai import OpenAI

              client = OpenAI()


              client.models.retrieve("VAR_model_id")

              '
            node.js: "import OpenAI from \"openai\";\n\nconst openai = new OpenAI();\n\nasync function main() {\n  const model = await openai.models.retrieve(\"gpt-3.5-turbo\");\n\n  console.log(model);\n}\n\nmain();"
          response: "{\n  \"id\": \"VAR_model_id\",\n  \"object\": \"model\",\n  \"created\": 1686935002,\n  \"owned_by\": \"openai\"\n}\n"
    delete:
      operationId: deleteModel
      tags:
      - Models
      summary: OpenAI Delete a fine-tuned model. You must have the Owner role in your organization to delete a model.
      parameters:
      - in: path
        name: model
        required: true
        schema:
          type: string
          example: ft:gpt-3.5-turbo:acemeco:suffix:abc123
        description: The model to delete
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/DeleteModelResponse'
      x-oaiMeta:
        name: Delete a fine-tuned model
        group: models
        returns: Deletion status.
        examples:
          request:
            curl: "curl https://api.openai.com/v1/models/ft:gpt-3.5-turbo:acemeco:suffix:abc123 \\\n  -X DELETE \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\"\n"
            python: 'from openai import OpenAI

              client = OpenAI()


              client.models.delete("ft:gpt-3.5-turbo:acemeco:suffix:abc123")

              '
            node.js: "import OpenAI from \"openai\";\n\nconst openai = new OpenAI();\n\nasync function main() {\n  const model = await openai.models.del(\"ft:gpt-3.5-turbo:acemeco:suffix:abc123\");\n\n  console.log(model);\n}\nmain();"
          response: "{\n  \"id\": \"ft:gpt-3.5-turbo:acemeco:suffix:abc123\",\n  \"object\": \"model\",\n  \"deleted\": true\n}\n"
components:
  schemas:
    DeleteModelResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
      required:
      - id
      - object
      - deleted
    ListModelsResponse:
      type: object
      properties:
        object:
          type: string
          enum:
          - list
        data:
          type: array
          items:
            $ref: '#/components/schemas/Model'
      required:
      - object
      - data
    Model:
      title: Model
      description: Describes an OpenAI model offering that can be used with the API.
      properties:
        id:
          type: string
          description: The model identifier, which can be referenced in the API endpoints.
        created:
          type: integer
          description: The Unix timestamp (in seconds) when the model was created.
        object:
          type: string
          description: The object type, which is always "model".
          enum:
          - model
        owned_by:
          type: string
          description: The organization that owns the model.
      required:
      - id
      - object
      - created
      - owned_by
      x-oaiMeta:
        name: The model object
        example: "{\n  \"id\": \"VAR_model_id\",\n  \"object\": \"model\",\n  \"created\": 1686935002,\n  \"owned_by\": \"openai\"\n}\n"
  securitySchemes:
    ApiKeyAuth:
      type: http
      scheme: bearer
x-oaiMeta:
  groups:
  - id: audio
    title: Audio
    description: 'Learn how to turn audio into text or text into audio.


      Related guide: [Speech to text](/docs/guides/speech-to-text)

      '
    sections:
    - type: endpoint
      key: createSpeech
      path: createSpeech
    - type: endpoint
      key: createTranscription
      path: createTranscription
    - type: endpoint
      key: createTranslation
      path: createTranslation
  - id: chat
    title: Chat
    description: 'Given a list of messages comprising a conversation, the model will return a response.


      Related guide: [Chat Completions](/docs/guides/text-generation)

      '
    sections:
    - type: endpoint
      key: createChatCompletion
      path: create
    - type: object
      key: CreateChatCompletionResponse
      path: object
    - type: object
      key: CreateChatCompletionStreamResponse
      path: streaming
  - id: embeddings
    title: Embeddings
    description: 'Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.


      Related guide: [Embeddings](/docs/guides/embeddings)

      '
    sections:
    - type: endpoint
      key: createEmbedding
      path: create
    - type: object
      key: Embedding
      path: object
  - id: fine-tuning
    title: Fine-tuning
    description: 'Manage fine-tuning jobs to tailor a model to your specific training data.


      Related guide: [Fine-tune models](/docs/guides/fine-tuning)

      '
    sections:
    - type: endpoint
      key: createFineTuningJob
      path: create
    - type: endpoint
      key: listPaginatedFineTuningJobs
      path: list
    - type: endpoint
      key: listFineTuningEvents
      path: list-events
    - type: endpoint
      key: retrieveFineTuningJob
      path: retrieve
    - type: endpoint
      key: cancelFineTuningJob
      path: cancel
    - type: object
      key: FineTuningJob
      path: object
    - type: object
      key: FineTuningJobEvent
      path: event-object
  - id: files
    title: Files
    description: 'Files are used to upload documents that can be used with features like [Assistants](/docs/api-reference/assistants) and [Fine-tuning](/docs/api-reference/fine-tuning).

      '
    sections:
    - type: endpoint
      key: createFile
      path: create
    - type: endpoint
      key: listFiles
      path: list
    - type: endpoint
      key: retrieveFile
      path: retrieve
    - type: endpoint
      key: deleteFile
      path: delete
    - type: endpoint
      key: downloadFile
      path: retrieve-contents
    - type: object
      key: OpenAIFile
      path: object
  - id: images
    title: Images
    description: 'Given a prompt and/or an input image, the model will generate a new image.


      Related guide: [Image generation](/docs/guides/images)

      '
    sections:
    - type: endpoint
      key: createImage
      path: create
    - type: endpoint
      key: createImageEdit
      path: createEdit
    - type: endpoint
      key: createImageVariation
      path: createVariation
    - type: object
      key: Image
      path: object
  - id: models
    title: Models
    description: 'List and describe the various models available in the API. You can refer to the [Models](/docs/models) documentation to understand what models are available and the differences between them.

      '
    sections:
    - type: endpoint
      key: listModels
      path: list
    - type: endpoint
      key: retrieveModel
      path: retrieve
    - type: endpoint
      key: deleteModel
      path: delete
    - type: object
      key: Model
      path: object
  - id: moderations
    title: Moderations
    description: 'Given a input text, outputs if the model classifies it as violating OpenAI''s content policy.


      Related guide: [Moderations](/docs/guides/moderation)

      '
    sections:
    - type: endpoint
      key: createModeration
      path: create
    - type: object
      key: CreateModerationResponse
      path: object
  - id: assistants
    title: Assistants
    beta: true
    description: 'Build assistants that can call models and use tools to perform tasks.


      [Get started with the Assistants API](/docs/assistants)

      '
    sections:
    - type: endpoint
      key: createAssistant
      path: createAssistant
    - type: endpoint
      key: createAssistantFile
      path: createAssistantFile
    - type: endpoint
      key: listAssistants
      path: listAssistants
    - type: endpoint
      key: listAssistantFiles
      path: listAssistantFiles
    - type: endpoint
      key: getAssistant
      path: getAssistant
    - type: endpoint
      key: getAssistantFile
      path: getAssistantFile
    - type: endpoint
      key: modifyAssistant
      path: modifyAssistant
    - type: endpoint
      key: deleteAssistant
      path: deleteAssistant
    - type: endpoint
      key: deleteAssistantFile
      path: deleteAssistantFile
    - type: object
      key: AssistantObject
      path: object
    - type: object
      key: AssistantFileObject
      path: file-object
  - id: threads
    title: Threads
    beta: true
    description: 'Create threads that assistants can interact with.


      Related guide: [Assistants](/docs/assistants/overview)

      '
    sections:
    - type: endpoint
      key: createThread
      path: createThread
    - type: endpoint
      key: getThread
      path: getThread
    - type: endpoint
      key: modifyThread
      path: modifyThread
    - type: endpoint
      key: deleteThread
      path: deleteThread
    - type: object
      key: ThreadObject
      path: object
  - id: messages
    title: Messages
    beta: true
    description: 'Create messages within threads


      Related guide: [Assistants](/docs/assistants/overview)

      '
    sections:
    - type: endpoint
      key: createMessage
      path: createMessage
    - type: endpoint
      key: listMessages
      path: listMessages
    - type: endpoint
      key: listMessageFiles
      path: listMessageFiles
    - type: endpoint
      key: getMessage
      path: getMessage
    - type: endpoint
      key: getMessageFile
      path: getMessageFile
    - type: endpoint
      key: modifyMessage
      path: modifyMessage
    - type: object
      key: MessageObject
      path: object
    - type: object
      key: MessageFileObject
      path: file-object
  - id: runs
    title: Runs
    beta: true
    description: 'Represents an execution run on a thread.


      Related guide: [Assistants](/docs/assistants/overview)

      '
    sections:
    - type: endpoint
      key: createRun
      path: createRun
    - type: endpoint
      key: createThreadAndRun
      path: createThreadAndRun
    - type: endpoint
      key: listRuns
      path: listRuns
    - type: endpoint
      key: listRunSteps
      path: listRunSteps
    - type: endpoint
      key: getRun
      path: getRun
    - type: endpoint
      key: getRunStep
      path: getRunStep
    - type: endpoint
      key: modifyRun
      path: modifyRun
    - type: endpoint
      key: submitToolOuputsToRun
      path: submitToolOutputs
    - type: endpoint
      key: cancelRun
      path: cancelRun
    - type: object
      key: RunObject
      path: object
    - type: object
      key: RunStepObject
      path: step-object
  - id: completions
    title: Completions
    legacy: true
    description: 'Given a prompt, the model will return one or more predicted completions along with the probabilities of alternative tokens at each position. Most developer should use our [Chat Completions API](/docs/guides/text-generation/text-generation-models) to leverage our best and newest models. Most models that support the legacy Completions endpoint [will be shut off on January 4th, 2024](/docs/deprecations/2023-07-06-gpt-and-embeddings).

      '
    sections:
    - type: endpoint
      key: createCompletion
      path: create
    - type: object
      key: CreateCompletionResponse
      path: object