openapi: 3.0.0
info:
  title: Azure OpenAI Service API
  description: Azure OpenAI APIs for completions and search
  version: 2024-07-01-preview
servers:
  - url: https://{endpoint}/openai
    variables:
      endpoint:
        default: your-resource-name.openai.azure.com
security:
  - bearer:
      - api.read
  - apiKey: []
paths:
  /deployments/{deployment-id}/completions:
    post:
      summary: Creates a completion for the provided prompt, parameters and chosen model.
      operationId: Completions_Create
      parameters:
        - in: path
          name: deployment-id
          required: true
          schema:
            type: string
            example: davinci
            description: Deployment id of the model which was deployed.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                prompt:
                  description: |-
                    The prompt(s) to generate completions for, encoded as a string or array of strings.
                    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. Maximum allowed size of string list is 2048.
                  oneOf:
                    - type: string
                      default: ''
                      example: This is a test.
                      nullable: true
                    - type: array
                      items:
                        type: string
                        default: ''
                        example: This is a test.
                        nullable: false
                      description: Array size minimum of 1 and maximum of 2048
                max_tokens:
                  description: The token count of your prompt plus max_tokens cannot exceed the model's context length. Most models have a context length of 2048 tokens (except for the newest models, which support 4096). Has minimum of 0.
                  type: integer
                  default: 16
                  example: 16
                  nullable: true
                temperature:
                  description: |-
                    What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer.
                    We generally recommend altering this or top_p but not both.
                  type: number
                  default: 1
                  example: 1
                  nullable: true
                top_p:
                  description: |-
                    An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
                    We generally recommend altering this or temperature but not both.
                  type: number
                  default: 1
                  example: 1
                  nullable: true
                logit_bias:
                  description: Defaults to null. 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 (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass {"50256" &#58; -100} to prevent the <|endoftext|> token from being generated.
                  type: object
                  nullable: false
                user:
                  description: A unique identifier representing your end-user, which can help monitoring and detecting abuse
                  type: string
                  nullable: false
                'n':
                  description: |-
                    How many completions to generate for each prompt. Minimum of 1 and maximum of 128 allowed.
                    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.
                  type: integer
                  default: 1
                  example: 1
                  nullable: true
                stream:
                  description: 'Whether to stream back partial progress. If set, tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message.'
                  type: boolean
                  nullable: true
                  default: false
                logprobs:
                  description: |-
                    Include the log probabilities on the logprobs most likely tokens, as well the chosen tokens. For example, if logprobs is 5, the API will return a list of the 5 most likely tokens. The API will always return the logprob of the sampled token, so there may be up to logprobs+1 elements in the response.
                    Minimum of 0 and maximum of 5 allowed.
                  type: integer
                  default: null
                  nullable: true
                suffix:
                  type: string
                  nullable: true
                  description: The suffix that comes after a completion of inserted text.
                echo:
                  description: Echo back the prompt in addition to the completion
                  type: boolean
                  default: false
                  nullable: true
                stop:
                  description: Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
                  oneOf:
                    - type: string
                      default: <|endoftext|>
                      example: |+

                      nullable: true
                    - type: array
                      items:
                        type: string
                        example: |+

                        nullable: false
                      description: Array minimum size of 1 and maximum of 4
                completion_config:
                  type: string
                  nullable: true
                presence_penalty:
                  description: Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
                  type: number
                  default: 0
                frequency_penalty:
                  description: Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
                  type: number
                  default: 0
                best_of:
                  description: |-
                    Generates best_of completions server-side and returns the "best" (the one with the highest log probability per token). Results cannot be streamed.
                    When used with n, best_of controls the number of candidate completions and n specifies how many to return - best_of must be greater than n.
                    Note: Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for max_tokens and stop. Has maximum value of 128.
                  type: integer
            example:
              prompt: |-
                Negate the following sentence.The price for bubblegum increased on thursday.

                 Negated Sentence:
              max_tokens: 50
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                type: object
                properties:
                  id:
                    type: string
                  object:
                    type: string
                  created:
                    type: integer
                  model:
                    type: string
                  prompt_filter_results:
                    $ref: '#/components/schemas/promptFilterResults'
                  choices:
                    type: array
                    items:
                      type: object
                      properties:
                        text:
                          type: string
                        index:
                          type: integer
                        logprobs:
                          type: object
                          properties:
                            tokens:
                              type: array
                              items:
                                type: string
                            token_logprobs:
                              type: array
                              items:
                                type: number
                            top_logprobs:
                              type: array
                              items:
                                type: object
                                additionalProperties:
                                  type: number
                            text_offset:
                              type: array
                              items:
                                type: integer
                          nullable: true
                        finish_reason:
                          type: string
                        content_filter_results:
                          $ref: '#/components/schemas/contentFilterChoiceResults'
                  usage:
                    type: object
                    properties:
                      completion_tokens:
                        type: number
                        format: int32
                      prompt_tokens:
                        type: number
                        format: int32
                      total_tokens:
                        type: number
                        format: int32
                    required:
                      - prompt_tokens
                      - total_tokens
                      - completion_tokens
                required:
                  - id
                  - object
                  - created
                  - model
                  - choices
              example:
                model: davinci
                object: text_completion
                id: cmpl-4509KAos68kxOqpE2uYGw81j6m7uo
                created: 1637097562
                choices:
                  - index: 0
                    text: The price for bubblegum decreased on thursday.
                    logprobs: null
                    finish_reason: stop
          headers:
            apim-request-id:
              description: Request ID for troubleshooting purposes
              schema:
                type: string
        default:
          description: Service unavailable
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/errorResponse'
          headers:
            apim-request-id:
              description: Request ID for troubleshooting purposes
              schema:
                type: string
  /deployments/{deployment-id}/embeddings:
    post:
      summary: Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
      operationId: embeddings_create
      parameters:
        - in: path
          name: deployment-id
          required: true
          schema:
            type: string
            example: ada-search-index-v1
          description: The deployment id of the model which was deployed.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              additionalProperties: true
              properties:
                input:
                  description: |-
                    Input text to get embeddings for, encoded as a string. To get embeddings for multiple inputs in a single request, pass an array of strings. Each input must not exceed 2048 tokens in length.
                    Unless you are embedding code, we suggest replacing newlines (\n) in your input with a single space, as we have observed inferior results when newlines are present.
                  oneOf:
                    - type: string
                      default: ''
                      example: This is a test.
                      nullable: true
                    - type: array
                      minItems: 1
                      maxItems: 2048
                      items:
                        type: string
                        minLength: 1
                        example: This is a test.
                        nullable: false
                user:
                  description: A unique identifier representing your end-user, which can help monitoring and detecting abuse.
                  type: string
                  nullable: false
                input_type:
                  description: input type of embedding search to use
                  type: string
                  example: query
                encoding_format:
                  description: The format to return the embeddings in. Can be either `float` or `base64`. Defaults to `float`.
                  type: string
                  example: base64
                  nullable: true
                dimensions:
                  description: The number of dimensions the resulting output embeddings should have. Only supported in `text-embedding-3` and later models.
                  type: integer
                  example: 1
                  nullable: true
              required:
                - input
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                type: object
                properties:
                  object:
                    type: string
                  model:
                    type: string
                  data:
                    type: array
                    items:
                      type: object
                      properties:
                        index:
                          type: integer
                        object:
                          type: string
                        embedding:
                          type: array
                          items:
                            type: number
                      required:
                        - index
                        - object
                        - embedding
                  usage:
                    type: object
                    properties:
                      prompt_tokens:
                        type: integer
                      total_tokens:
                        type: integer
                    required:
                      - prompt_tokens
                      - total_tokens
                required:
                  - object
                  - model
                  - data
                  - usage
      x-ms-examples:
        Create a embeddings.:
          $ref: ./examples/embeddings.yaml
  /deployments/{deployment-id}/chat/completions:
    post:
      summary: Creates a completion for the chat message
      operationId: ChatCompletions_Create
      parameters:
        - in: path
          name: deployment-id
          required: true
          schema:
            type: string
            description: Deployment id of the model which was deployed.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/createChatCompletionRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/createChatCompletionResponse'
          headers:
            apim-request-id:
              description: Request ID for troubleshooting purposes
              schema:
                type: string
        default:
          description: Service unavailable
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/errorResponse'
          headers:
            apim-request-id:
              description: Request ID for troubleshooting purposes
              schema:
                type: string
      x-ms-examples:
        Create a chat completion.:
          $ref: ./examples/chat_completions.yaml
        Creates a completion based on Azure Search data and system-assigned managed identity.:
          $ref: ./examples/chat_completions_azure_search_minimum.yaml
        Creates a completion based on Azure Search image vector data.:
          $ref: ./examples/chat_completions_azure_search_image_vector.yaml
        Creates a completion based on Azure Search vector data, previous assistant message and user-assigned managed identity.:
          $ref: ./examples/chat_completions_azure_search_advanced.yaml
        Creates a completion for the provided AML index.:
          $ref: ./examples/chat_completions_aml_index.yaml
        Creates a completion for the provided Azure Cosmos DB.:
          $ref: ./examples/chat_completions_cosmos_db.yaml
        Creates a completion for the provided Elasticsearch.:
          $ref: ./examples/chat_completions_elasticsearch.yaml
        Creates a completion for the provided Pinecone resource.:
          $ref: ./examples/chat_completions_pinecone.yaml
  /deployments/{deployment-id}/audio/transcriptions:
    post:
      summary: Transcribes audio into the input language.
      operationId: Transcriptions_Create
      parameters:
        - in: path
          name: deployment-id
          required: true
          schema:
            type: string
            example: whisper
            description: Deployment id of the whisper model.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          multipart/form-data:
            schema:
              $ref: '#/components/schemas/createTranscriptionRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                oneOf:
                  - $ref: '#/components/schemas/audioResponse'
                  - $ref: '#/components/schemas/audioVerboseResponse'
            text/plain:
              schema:
                type: string
                description: Transcribed text in the output format (when response_format was one of text, vtt or srt).
      x-ms-examples:
        Create an audio transcription with json response format.:
          $ref: ./examples/audio_transcription_object.yaml
        Create an audio transcription with text response format.:
          $ref: ./examples/audio_transcription_text.yaml
  /deployments/{deployment-id}/audio/translations:
    post:
      summary: Transcribes and translates input audio into English text.
      operationId: Translations_Create
      parameters:
        - in: path
          name: deployment-id
          required: true
          schema:
            type: string
            example: whisper
            description: Deployment id of the whisper model which was deployed.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          multipart/form-data:
            schema:
              $ref: '#/components/schemas/createTranslationRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                oneOf:
                  - $ref: '#/components/schemas/audioResponse'
                  - $ref: '#/components/schemas/audioVerboseResponse'
            text/plain:
              schema:
                type: string
                description: Transcribed text in the output format (when response_format was one of text, vtt or srt).
      x-ms-examples:
        Create an audio translation with json response format.:
          $ref: ./examples/audio_translation_object.yaml
        Create an audio translation with text response format.:
          $ref: ./examples/audio_translation_text.yaml
  /deployments/{deployment-id}/audio/speech:
    post:
      summary: Generates audio from the input text.
      operationId: Speech_Create
      parameters:
        - in: path
          name: deployment-id
          required: true
          schema:
            type: string
            example: tts-1
            description: Deployment id of the tts model which was deployed.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          multipart/form-data:
            schema:
              $ref: '#/components/schemas/createSpeechRequest'
      responses:
        '200':
          description: OK
          content:
            application/octet-stream:
              schema:
                type: string
                format: binary
      x-ms-examples:
        Create an audio from text with response format mp3.:
          $ref: ./examples/audio_speech.yaml
  /deployments/{deployment-id}/images/generations:
    post:
      summary: Generates a batch of images from a text caption on a given DALLE model deployment
      operationId: ImageGenerations_Create
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/imageGenerationsRequest'
      parameters:
        - in: path
          name: deployment-id
          required: true
          schema:
            type: string
            example: dalle-deployment
            description: Deployment id of the dalle model which was deployed.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      responses:
        '200':
          description: Ok
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/generateImagesResponse'
        default:
          description: An error occurred.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/dalleErrorResponse'
      x-ms-examples:
        Create an image.:
          $ref: ./examples/image_generation.yaml
  /assistants:
    get:
      operationId: List_Assistants
      tags:
        - Assistants
      summary: Returns a list of assistants.
      parameters:
        - name: limit
          in: query
          description: &pagination_limit_param_description |
            A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: &pagination_order_param_description |
            Sort order by the `created_at` timestamp of the objects. `asc` for ascending order and `desc` for descending order.
          schema:
            type: string
            default: desc
            enum:
              - asc
              - desc
            x-ms-enum:
              name: ListAssistantsOrder
              modelAsString: true
              values:
                - value: asc
                  description: Order results in ascending order
                - value: desc
                  description: Order results in descending order
        - name: after
          in: query
          description: &pagination_after_param_description |
            A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.
          schema:
            type: string
        - name: before
          in: query
          description: &pagination_before_param_description |
            A cursor for use in pagination. `before` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list.
          schema:
            type: string
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/listAssistantsResponse'
      x-ms-examples:
        Create an image.:
          $ref: ./examples/list_assistants.yaml
    post:
      operationId: Create_Assistant
      tags:
        - Assistants
      summary: Create an assistant with a model and instructions.
      parameters:
      - in: query
        name: api-version
        required: true
        schema:
          type: string
          example: 2024-07-01-preview
        description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/createAssistantRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/assistantObject'
      x-ms-examples:
        Create an assistant.:
          $ref: ./examples/create_assistant.yaml
          
  /assistants/{assistant_id}:
    get:
      operationId: Get_Assistant
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/assistantObject'
      x-ms-examples:
        Create an assistant.:
          $ref: ./examples/retrieve_assistant.yaml
    post:
      operationId: Modify_Assistant
      tags:
        - Assistant
      summary: Modifies an assistant.
      parameters:
        - in: path
          name: assistant_id
          required: true
          schema:
            type: string
          description: The ID of the assistant to modify.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/modifyAssistantRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/assistantObject'
      x-ms-examples:
        Create an assistant.:
          $ref: ./examples/modify_assistant.yaml
    delete:
      operationId: Delete_Assistant
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/deleteAssistantResponse'
      x-ms-examples:
        Create an assistant.:
          $ref: ./examples/delete_assistant.yaml
  /threads:
    post:
      operationId: Create_Thread
      tags:
        - Assistants
      summary: Create a thread.
      parameters:
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/createThreadRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/threadObject'
      x-ms-examples:
        Create a thread.:
          $ref: ./examples/create_thread.yaml
  /threads/{thread_id}:
    get:
      operationId: Get_Thread
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/threadObject'
      x-ms-examples:
        Create a thread.:
          $ref: ./examples/retrieve_thread.yaml
    post:
      operationId: Modify_Thread
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/modifyThreadRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/threadObject'
      x-ms-examples:
        Modify a thread.:
          $ref: ./examples/modify_thread.yaml
    delete:
      operationId: Delete_Thread
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/deleteThreadResponse'
      x-ms-examples:
        Delete a thread.:
          $ref: ./examples/delete_thread.yaml
  /threads/{thread_id}/messages:
    get:
      operationId: List_Messages
      tags:
        - Assistants
      summary: Returns a list of messages for a given thread.
      parameters:
        - in: path
          name: thread_id
          required: true
          schema:
            type: string
          description: The ID of the [thread](/docs/api-reference/threads) the messages belong to.
        - name: limit
          in: query
          description: *pagination_limit_param_description
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: |
            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
            x-ms-enum:
              name: ListMessagesOrder
              modelAsString: true
              values:
                - value: asc
                  description: Order results in ascending order
                - value: desc
                  description: Order results in descending order
        - 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, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list.
          schema:
            type: string
        - name: run_id
          in: query
          description: |
            Filter messages by the run ID that generated them.
          schema:
            type: string
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/listMessagesResponse'
      x-ms-examples:
        List messages.:
          $ref: ./examples/list_messages.yaml
    post:
      operationId: Create_Message
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/createMessageRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/messageObject'
      x-ms-examples:
        Create a message.:
          $ref: ./examples/create_message.yaml
  /threads/{thread_id}/messages/{message_id}:
    get:
      operationId: Get_Message
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/messageObject'
      x-ms-examples:
        Retrieve a message.:
          $ref: ./examples/get_message.yaml
    post:
      operationId: Modify_Message
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/modifyMessageRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/messageObject'
      x-ms-examples:
        Modify a message.:
          $ref: ./examples/modify_message.yaml
  /threads/runs:
    post:
      operationId: Create_Thread_And_Run
      tags:
        - Assistants
      summary: Create a thread and run it in one request.
      parameters:
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/createThreadAndRunRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/runObject'
      x-ms-examples:
        Create a thread and run it.:
          $ref: ./examples/create_thread_and_run.yaml
  /threads/{thread_id}/runs:
    get:
      operationId: List_Runs
      tags:
        - Assistants
      summary: Returns a list of runs belonging to a thread.
      parameters:
        - name: thread_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the thread the run belongs to.
        - name: limit
          in: query
          description: *pagination_limit_param_description
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: *pagination_order_param_description
          schema:
            type: string
            default: desc
            enum:
              - asc
              - desc
            x-ms-enum:
              name: ListRunsOrder
              modelAsString: true
              values:
                - value: asc
                  description: Order results in ascending order
                - value: desc
                  description: Order results in descending order
        - name: after
          in: query
          description: *pagination_after_param_description
          schema:
            type: string
        - name: before
          in: query
          description: *pagination_before_param_description
          schema:
            type: string
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/listRunsResponse'
      x-ms-examples:
        List runs.:
          $ref: ./examples/list_runs.yaml
    post:
      operationId: Create_Run
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/createRunRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/runObject'
      x-ms-examples:
        Create a run.:
          $ref: ./examples/create_run.yaml
  /threads/{thread_id}/runs/{run_id}:
    get:
      operationId: Get_Run
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/runObject'
      x-ms-examples:
        Retrieve a run.:
          $ref: ./examples/get_run.yaml
    post:
      operationId: Modify_Run
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/modifyRunRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/runObject'
      x-ms-examples:
        Modify a run.:
          $ref: ./examples/modify_run.yaml
  /threads/{thread_id}/runs/{run_id}/submit_tool_outputs:
    post:
      operationId: Submit_Tool_Outputs_To_Run
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
            description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/submitToolOutputsRunRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/runObject'
      x-ms-examples:
        Submit tool outputs to a run.:
          $ref: ./examples/submit_tool_outputs_to_run.yaml
  /threads/{thread_id}/runs/{run_id}/cancel:
    post:
      operationId: Cancel_Run
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/runObject'
      x-ms-examples:
        Cancel a run.:
          $ref: ./examples/cancel_run.yaml
  /threads/{thread_id}/runs/{run_id}/steps:
    get:
      operationId: List_Run_Steps
      tags:
        - Assistants
      summary: Returns a list of run steps belonging to a run.
      parameters:
        - name: thread_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the thread the run and run steps belong to.
        - name: run_id
          in: path
          required: true
          schema:
            type: string
          description: The ID of the run the run steps belong to.
        - name: limit
          in: query
          description: *pagination_limit_param_description
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: *pagination_order_param_description
          schema:
            type: string
            default: desc
            enum:
              - asc
              - desc
            x-ms-enum:
              name: ListRunStepsOrder
              modelAsString: true
              values:
                - value: asc
                  description: Order results in ascending order
                - value: desc
                  description: Order results in descending order
        - name: after
          in: query
          description: *pagination_after_param_description
          schema:
            type: string
        - name: before
          in: query
          description: *pagination_before_param_description
          schema:
            type: string
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/listRunStepsResponse'
      x-ms-examples:
        List run steps.:
          $ref: ./examples/list_run_steps.yaml
  /threads/{thread_id}/runs/{run_id}/steps/{step_id}:
    get:
      operationId: Get_Run_Step
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/runStepObject'
      x-ms-examples:
        Retrieve a run step.:
          $ref: ./examples/get_run_step.yaml
  /vector_stores:
    get:
      operationId: List_Vector_Stores
      tags:
        - Vector Stores
      summary: Returns a list of vector stores.
      parameters:
        - name: limit
          in: query
          description: *pagination_limit_param_description
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: *pagination_order_param_description
          schema:
            type: string
            default: desc
            enum: ["asc", "desc"]
            x-ms-enum:
              name: ListVectorStoresOrder
              modelAsString: true
              values:
                - value: asc
                - value: desc
        - name: after
          in: query
          description: *pagination_after_param_description
          schema:
            type: string
        - name: before
          in: query
          description: *pagination_before_param_description
          schema:
            type: string
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/listVectorStoresResponse"
      x-ms-examples:
        List vector stores.:
          $ref: ./examples/list_vector_stores.yaml
    post:
      operationId: Create_Vector_Store
      tags:
        - Vector Stores
      summary: Create a vector store.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/createVectorStoreRequest"
      parameters:
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/vectorStoreObject"
      x-ms-examples:
        Create a vector store.:
          $ref: ./examples/create_vector_store.yaml

  /vector_stores/{vector_store_id}:
    get:
      operationId: Get_Vector_Store
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/vectorStoreObject"
      x-ms-examples:
        Retrieve a vector store.:
          $ref: ./examples/retrieve_vector_store.yaml
    post:
      operationId: Modify_Vector_Store
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/updateVectorStoreRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/vectorStoreObject"
      x-ms-examples:
        Modify a vector store.:
          $ref: ./examples/modify_vector_store.yaml

    delete:
      operationId: Delete_Vector_Store
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/deleteVectorStoreResponse"
      x-ms-examples:
        Delete a vector store.:
          $ref: ./examples/delete_vector_store.yaml

  /vector_stores/{vector_store_id}/files:
    get:
      operationId: List_Vector_Store_Files
      tags:
        - Vector Stores
      summary: Returns a list of vector store files.
      parameters:
        - name: vector_store_id
          in: path
          description: The ID of the vector store that the files belong to.
          required: true
          schema:
            type: string
        - name: limit
          in: query
          description: *pagination_limit_param_description
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: *pagination_order_param_description
          schema:
            type: string
            default: desc
            enum: ["asc", "desc"]
            x-ms-enum: 
              name: ListVectorStoreFilesOrder
              modelAsString: true
              values:
                - value: asc
                - value: desc
        - name: after
          in: query
          description: *pagination_after_param_description
          schema:
            type: string
        - name: before
          in: query
          description: *pagination_before_param_description
          schema:
            type: string
        - name: filter
          in: query
          description: "Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`."
          schema:
            type: string
            enum: ["in_progress", "completed", "failed", "cancelled"]
            x-ms-enum:
              name: ListVectorStoreFilesFilter
              modelAsString: true
              values:
                - value: in_progress
                - value: completed
                - value: failed
                - value: cancelled
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/listVectorStoreFilesResponse"
      x-ms-examples:
        List vector store files.:
          $ref: ./examples/list_vector_store_files.yaml
    post:
      operationId: Create_Vector_Store_File
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/createVectorStoreFileRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/vectorStoreFileObject"
      x-ms-examples:
        Create a vector store file.:
          $ref: ./examples/create_vector_store_file.yaml

  /vector_stores/{vector_store_id}/files/{file_id}:
    get:
      operationId: Get_Vector_Store_File
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/vectorStoreFileObject"
      x-ms-examples:
        Retrieve a vector store file.:
          $ref: ./examples/retrieve_vector_store_file.yaml
    delete:
      operationId: Delete_Vector_Store_File
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/deleteVectorStoreFileResponse"
      x-ms-examples:
        Delete a vector store file.:
          $ref: ./examples/delete_vector_store_file.yaml

  /vector_stores/{vector_store_id}/file_batches:
    post:
      operationId: Create_Vector_Store_File_Batch
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/createVectorStoreFileBatchRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/vectorStoreFileBatchObject"
      x-ms-examples:
        Create a vector store file batch.:
          $ref: ./examples/create_vector_store_file_batch.yaml

  /vector_stores/{vector_store_id}/file_batches/{batch_id}:
    get:
      operationId: Get_Vector_Store_File_Batch
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/vectorStoreFileBatchObject"
      x-ms-examples:
        Retrieve a vector store file batch.:
          $ref: ./examples/retrieve_vector_store_file_batch.yaml

  /vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel:
    post:
      operationId: Cancel_Vector_Store_File_Batch
      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.
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/vectorStoreFileBatchObject"
      x-ms-examples:
        Cancel a vector store file batch.:
          $ref: ./examples/cancel_vector_store_file_batch.yaml
     
  /vector_stores/{vector_store_id}/file_batches/{batch_id}/files:
    get:
      operationId: List_Vector_Store_File_Batch_Files
      tags:
        - Vector Stores
      summary: Returns a list of vector store files in a batch.
      parameters:
        - name: vector_store_id
          in: path
          description: The ID of the vector store that the files belong to.
          required: true
          schema:
            type: string
        - name: batch_id
          in: path
          description: The ID of the file batch that the files belong to.
          required: true
          schema:
            type: string
        - name: limit
          in: query
          description: *pagination_limit_param_description
          required: false
          schema:
            type: integer
            default: 20
        - name: order
          in: query
          description: *pagination_order_param_description
          schema:
            type: string
            default: desc
            enum: ["asc", "desc"]
            x-ms-enum: 
              name: ListVectorStoreFilesOrder
              modelAsString: true
              values:
                - value: asc
                - value: desc
        - name: after
          in: query
          description: *pagination_after_param_description
          schema:
            type: string
        - name: before
          in: query
          description: *pagination_before_param_description
          schema:
            type: string
        - name: filter
          in: query
          description: "Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`."
          schema:
            type: string
            enum: ["in_progress", "completed", "failed", "cancelled"]
            x-ms-enum:
              name: ListVectorStoreFilesFilter
              modelAsString: true
              values:
                - value: in_progress
                - value: completed
                - value: failed
                - value: cancelled
        - in: query
          name: api-version
          required: true
          schema:
            type: string
            example: 2024-07-01-preview
          description: api version
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/listVectorStoreFilesResponse"
      x-ms-examples:
        List vector store files in a batch.:
          $ref: ./examples/list_vector_store_file_batch.yaml
  
components:
  schemas:
    errorResponse:
      type: object
      properties:
        error:
          $ref: '#/components/schemas/error'
    errorBase:
      type: object
      properties:
        code:
          type: string
        message:
          type: string
    error:
      type: object
      allOf:
        - $ref: '#/components/schemas/errorBase'
      properties:
        param:
          type: string
        type:
          type: string
        inner_error:
          $ref: '#/components/schemas/innerError'
    innerError:
      description: Inner error with additional details.
      type: object
      properties:
        code:
          $ref: '#/components/schemas/innerErrorCode'
        content_filter_results:
          $ref: '#/components/schemas/contentFilterPromptResults'
    innerErrorCode:
      description: Error codes for the inner error object.
      enum:
        - ResponsibleAIPolicyViolation
      type: string
      x-ms-enum:
        name: InnerErrorCode
        modelAsString: true
        values:
          - value: ResponsibleAIPolicyViolation
            description: The prompt violated one of more content filter rules.
    dalleErrorResponse:
      type: object
      properties:
        error:
          $ref: '#/components/schemas/dalleError'
    dalleError:
      type: object
      allOf:
        - $ref: '#/components/schemas/errorBase'
      properties:
        param:
          type: string
        type:
          type: string
        inner_error:
          $ref: '#/components/schemas/dalleInnerError'
    dalleInnerError:
      description: Inner error with additional details.
      type: object
      properties:
        code:
          $ref: '#/components/schemas/innerErrorCode'
        content_filter_results:
          $ref: '#/components/schemas/dalleFilterResults'
        revised_prompt:
          type: string
          description: The prompt that was used to generate the image, if there was any revision to the prompt.
    contentFilterResultBase:
      type: object
      properties:
        filtered:
          type: boolean
      required:
        - filtered
    contentFilterSeverityResult:
      type: object
      allOf:
        - $ref: '#/components/schemas/contentFilterResultBase'
        - properties:
            severity:
              type: string
              enum:
                - safe
                - low
                - medium
                - high
              x-ms-enum:
                name: ContentFilterSeverity
                modelAsString: true
                values:
                  - value: safe
                    description: General content or related content in generic or non-harmful contexts.
                  - value: low
                    description: Harmful content at a low intensity and risk level.
                  - value: medium
                    description: Harmful content at a medium intensity and risk level.
                  - value: high
                    description: Harmful content at a high intensity and risk level.
      required:
        - severity
        - filtered
    contentFilterDetectedResult:
      type: object
      allOf:
        - $ref: '#/components/schemas/contentFilterResultBase'
        - properties:
            detected:
              type: boolean
      required:
        - detected
        - filtered
    contentFilterDetectedWithCitationResult:
      type: object
      allOf:
        - $ref: '#/components/schemas/contentFilterDetectedResult'
        - properties:
            citation:
              type: object
              properties:
                URL:
                  type: string
                license:
                  type: string
      required:
        - detected
        - filtered
    contentFilterIdResult:
      type: object
      allOf:
        - $ref: '#/components/schemas/contentFilterResultBase'
        - properties:
            id:
              type: string
      required:
        - id
        - filtered
    contentFilterResultsBase:
      type: object
      description: Information about the content filtering results.
      properties:
        sexual:
          $ref: '#/components/schemas/contentFilterSeverityResult'
        violence:
          $ref: '#/components/schemas/contentFilterSeverityResult'
        hate:
          $ref: '#/components/schemas/contentFilterSeverityResult'
        self_harm:
          $ref: '#/components/schemas/contentFilterSeverityResult'
        profanity:
          $ref: '#/components/schemas/contentFilterDetectedResult'
        custom_blocklists:
          $ref: '#/components/schemas/contentFilterDetailedResults'
        error:
          $ref: '#/components/schemas/errorBase'
    contentFilterPromptResults:
      type: object
      description: Information about the content filtering category (hate, sexual, violence, self_harm), if it has been detected, as well as the severity level (very_low, low, medium, high-scale that determines the intensity and risk level of harmful content) and if it has been filtered or not. Information about jailbreak content and profanity, if it has been detected, and if it has been filtered or not. And information about customer block list, if it has been filtered and its id.
      allOf:
        - $ref: '#/components/schemas/contentFilterResultsBase'
        - properties:
            jailbreak:
              $ref: '#/components/schemas/contentFilterDetectedResult'
            indirect_attack:
              $ref: '#/components/schemas/contentFilterDetectedResult'
    contentFilterChoiceResults:
      type: object
      description: Information about the content filtering category (hate, sexual, violence, self_harm), if it has been detected, as well as the severity level (very_low, low, medium, high-scale that determines the intensity and risk level of harmful content) and if it has been filtered or not. Information about third party text and profanity, if it has been detected, and if it has been filtered or not. And information about customer block list, if it has been filtered and its id.
      allOf:
        - $ref: '#/components/schemas/contentFilterResultsBase'
        - properties:
            protected_material_text:
              $ref: '#/components/schemas/contentFilterDetectedResult'
        - properties:
            protected_material_code:
              $ref: '#/components/schemas/contentFilterDetectedWithCitationResult'
    contentFilterDetailedResults:
        type: object
        description: Content filtering results with a detail of content filter ids for the filtered segments.
        allOf:
            - 
                $ref: '#/components/schemas/contentFilterResultBase'
            - 
                properties:
                    details:
                        items:
                            $ref: '#/components/schemas/contentFilterIdResult'
                        type: array
        required:
            - filtered
    promptFilterResult:
      type: object
      description: Content filtering results for a single prompt in the request.
      properties:
        prompt_index:
          type: integer
        content_filter_results:
          $ref: '#/components/schemas/contentFilterPromptResults'
    promptFilterResults:
      type: array
      description: Content filtering results for zero or more prompts in the request. In a streaming request, results for different prompts may arrive at different times or in different orders.
      items:
        $ref: '#/components/schemas/promptFilterResult'
    dalleContentFilterResults:
      type: object
      description: Information about the content filtering results.
      properties:
        sexual:
          $ref: '#/components/schemas/contentFilterSeverityResult'
        violence:
          $ref: '#/components/schemas/contentFilterSeverityResult'
        hate:
          $ref: '#/components/schemas/contentFilterSeverityResult'
        self_harm:
          $ref: '#/components/schemas/contentFilterSeverityResult'
    dalleFilterResults:
      type: object
      description: Information about the content filtering category (hate, sexual, violence, self_harm), if it has been detected, as well as the severity level (very_low, low, medium, high-scale that determines the intensity and risk level of harmful content) and if it has been filtered or not. Information about jailbreak content and profanity, if it has been detected, and if it has been filtered or not. And information about customer block list, if it has been filtered and its id.
      allOf:
        - $ref: '#/components/schemas/dalleContentFilterResults'
        - properties:
            profanity:
              $ref: '#/components/schemas/contentFilterDetectedResult'
            jailbreak:
              $ref: '#/components/schemas/contentFilterDetectedResult'
            custom_blocklists:
              $ref: '#/components/schemas/contentFilterDetailedResults'
    chatCompletionsRequestCommon:
      type: object
      properties:
        temperature:
          description: |-
            What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
            We generally recommend altering this or `top_p` but not both.
          type: number
          minimum: 0
          maximum: 2
          default: 1
          example: 1
          nullable: true
        top_p:
          description: |-
            An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
            We generally recommend altering this or `temperature` but not both.
          type: number
          minimum: 0
          maximum: 1
          default: 1
          example: 1
          nullable: true
        stream:
          description: 'If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a `data: [DONE]` message.'
          type: boolean
          nullable: true
          default: false
        stop:
          description: Up to 4 sequences where the API will stop generating further tokens.
          oneOf:
            - type: string
              nullable: true
            - type: array
              items:
                type: string
                nullable: false
              minItems: 1
              maxItems: 4
              description: Array minimum size of 1 and maximum of 4
          default: null
        max_tokens:
          description: The maximum number of tokens allowed for the generated answer. By default, the number of tokens the model can return will be (4096 - prompt tokens).
          type: integer
          default: 4096
        presence_penalty:
          description: Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
          type: number
          default: 0
          minimum: -2
          maximum: 2
        frequency_penalty:
          description: Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
          type: number
          default: 0
          minimum: -2
          maximum: 2
        logit_bias:
          description: Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the 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.
          type: object
          nullable: true
        user:
          description: A unique identifier representing your end-user, which can help Azure OpenAI to monitor and detect abuse.
          type: string
          example: user-1234
          nullable: false
    createChatCompletionRequest:
      type: object
      allOf:
        - $ref: '#/components/schemas/chatCompletionsRequestCommon'
        - properties:
            messages:
              description: A list of messages comprising the conversation so far. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb).
              type: array
              minItems: 1
              items:
                $ref: '#/components/schemas/chatCompletionRequestMessage'
            data_sources:
              type: array
              description: |2-
                  The configuration entries for Azure OpenAI chat extensions that use them.
                  This additional specification is only compatible with Azure OpenAI.
              items:
                $ref: '#/components/schemas/azureChatExtensionConfiguration'
            '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.
            seed:
              type: integer
              minimum: -9223372036854775808
              maximum: 9223372036854775807
              default: 0
              example: 1
              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.
            logprobs:
              description: Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`. This option is currently not available on the `gpt-4-vision-preview` model.
              type: boolean
              default: false
              nullable: true
            top_logprobs:
              description: An integer between 0 and 5 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used.
              type: integer
              minimum: 0
              maximum: 5
              nullable: true
            response_format:
              type: object
              description: An object specifying the format that the model must output. Used to enable JSON mode.
              properties:
                type:
                  $ref: '#/components/schemas/chatCompletionResponseFormat'
            tools:
              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.
              type: array
              minItems: 1
              items:
                $ref: '#/components/schemas/chatCompletionTool'
            tool_choice:
              $ref: '#/components/schemas/chatCompletionToolChoiceOption'
            functions:
              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/chatCompletionFunction'
            function_call:
              description: Deprecated in favor of `tool_choice`. Controls how the model responds to function calls. "none" means the model does not call a function, and responds to the end-user. "auto" means the model can pick between an end-user or calling a function.  Specifying a particular function via `{"name":\ "my_function"}` forces the model to call that function. "none" is the default when no functions are present. "auto" is the default if functions are present.
              oneOf:
                - type: string
                  enum:
                    - none
                    - auto
                  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.'
                - 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
      required:
        - messages
    chatCompletionResponseFormat:
      type: string
      enum:
        - text
        - json_object
      default: text
      example: json_object
      nullable: true
      description: Setting to `json_object` enables JSON mode. This guarantees that the message the model generates is valid JSON.
      x-ms-enum:
        name: ChatCompletionResponseFormat
        modelAsString: true
        values:
          - value: text
            description: Response format is a plain text string.
          - value: json_object
            description: Response format is a JSON object.
    chatCompletionFunction:
      type: object
      properties:
        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.
        description:
          type: string
          description: The description of what the function does.
        parameters:
          $ref: '#/components/schemas/chatCompletionFunctionParameters'
      required:
        - name
    chatCompletionFunctionParameters:
      type: object
      description: The parameters the functions accepts, described as a JSON Schema object. See the [guide](/docs/guides/gpt/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format.
      additionalProperties: true
    chatCompletionRequestMessage:
      type: object
      properties:
        role:
          $ref: '#/components/schemas/chatCompletionRequestMessageRole'
      discriminator:
        propertyName: role
        mapping:
          system: '#/components/schemas/chatCompletionRequestMessageSystem'
          user: '#/components/schemas/chatCompletionRequestMessageUser'
          assistant: '#/components/schemas/chatCompletionRequestMessageAssistant'
          tool: '#/components/schemas/chatCompletionRequestMessageTool'
          function: '#/components/schemas/chatCompletionRequestMessageFunction'
      required:
        - role
    chatCompletionRequestMessageRole:
      type: string
      enum:
        - system
        - user
        - assistant
        - tool
        - function
      description: The role of the messages author.
      x-ms-enum:
        name: ChatCompletionRequestMessageRole
        modelAsString: true
        values:
          - value: system
            description: The message author role is system.
          - value: user
            description: The message author role is user.
          - value: assistant
            description: The message author role is assistant.
          - value: tool
            description: The message author role is tool.
          - value: function
            description: Deprecated. The message author role is function.
    chatCompletionRequestMessageSystem:
      allOf:
        - $ref: '#/components/schemas/chatCompletionRequestMessage'
        - type: object
          properties:
            content:
              type: string
              description: The contents of the message.
              nullable: true
      required:
        - content
    chatCompletionRequestMessageUser:
      allOf:
        - $ref: '#/components/schemas/chatCompletionRequestMessage'
        - type: object
          properties:
            content:
              oneOf:
                - type: string
                  description: The contents of the message.
                - type: array
                  description: An array of content parts with a defined type, each can be of type `text` or `image_url` when passing in images. You can pass multiple images by adding multiple `image_url` content parts. Image input is only supported when using the `gpt-4-visual-preview` model.
                  minimum: 1
                  items:
                    $ref: '#/components/schemas/chatCompletionRequestMessageContentPart'
              nullable: true
      required:
        - content
    chatCompletionRequestMessageContentPart:
      type: object
      properties:
        type:
          $ref: '#/components/schemas/chatCompletionRequestMessageContentPartType'
      discriminator:
        propertyName: type
        mapping:
          text: '#/components/schemas/chatCompletionRequestMessageContentPartText'
          image_url: '#/components/schemas/chatCompletionRequestMessageContentPartImage'
      required:
        - type
    chatCompletionRequestMessageContentPartType:
      type: string
      enum:
        - text
        - image_url
      description: The type of the content part.
      x-ms-enum:
        name: ChatCompletionRequestMessageContentPartType
        modelAsString: true
        values:
          - value: text
            description: The content part type is text.
          - value: image_url
            description: The content part type is image_url.
    chatCompletionRequestMessageContentPartText:
      allOf:
        - $ref: '#/components/schemas/chatCompletionRequestMessageContentPart'
        - type: object
          properties:
            text:
              type: string
              description: The text content.
      required:
        - text
    chatCompletionRequestMessageContentPartImage:
      allOf:
        - $ref: '#/components/schemas/chatCompletionRequestMessageContentPart'
        - type: object
          properties:
            url:
              type: string
              description: Either a URL of the image or the base64 encoded image data.
              format: uri
            detail:
              $ref: '#/components/schemas/imageDetailLevel'
      required:
        - url
    imageDetailLevel:
      type: string
      description: Specifies the detail level of the image.
      enum:
        - auto
        - low
        - high
      default: auto
      x-ms-enum:
        name: ImageDetailLevel
        modelAsString: true
        values:
          - value: auto
            description: The image detail level is auto.
          - value: low
            description: The image detail level is low.
          - value: high
            description: The image detail level is high.
    chatCompletionRequestMessageAssistant:
      allOf:
        - $ref: '#/components/schemas/chatCompletionRequestMessage'
        - type: object
          properties:
            content:
              type: string
              description: The contents of the message.
              nullable: true
            tool_calls:
              type: array
              description: The tool calls generated by the model, such as function calls.
              items:
                $ref: '#/components/schemas/chatCompletionMessageToolCall'
            context:
              $ref: '#/components/schemas/azureChatExtensionsMessageContext'
      required:
        - content
    azureChatExtensionConfiguration:
      required:
        - type
      type: object
      properties:
        type:
          $ref: '#/components/schemas/azureChatExtensionType'
      description: |2-
          A representation of configuration data for a single Azure OpenAI chat extension. This will be used by a chat
          completions request that should use Azure OpenAI chat extensions to augment the response behavior.
          The use of this configuration is compatible only with Azure OpenAI.
      discriminator:
        propertyName: type
        mapping:
          azure_search: '#/components/schemas/azureSearchChatExtensionConfiguration'
          azure_ml_index: '#/components/schemas/azureMachineLearningIndexChatExtensionConfiguration'
          azure_cosmos_db: '#/components/schemas/azureCosmosDBChatExtensionConfiguration'
          elasticsearch: '#/components/schemas/elasticsearchChatExtensionConfiguration'
          pinecone: '#/components/schemas/pineconeChatExtensionConfiguration'
    azureChatExtensionType:
      type: string
      description: |2-
          A representation of configuration data for a single Azure OpenAI chat extension. This will be used by a chat
          completions request that should use Azure OpenAI chat extensions to augment the response behavior.
          The use of this configuration is compatible only with Azure OpenAI.
      enum:
        - azure_search
        - azure_ml_index
        - azure_cosmos_db
        - elasticsearch
        - pinecone
      x-ms-enum:
        name: AzureChatExtensionType
        modelAsString: true
        values:
          - name: azureSearch
            value: azure_search
            description: Represents the use of Azure Search as an Azure OpenAI chat extension.
          - name: azureMachineLearningIndex
            value: azure_ml_index
            description: Represents the use of Azure Machine Learning index as an Azure OpenAI chat extension.
          - name: azureCosmosDB
            value: azure_cosmos_db
            description: Represents the use of Azure Cosmos DB as an Azure OpenAI chat extension.
          - name: elasticsearch
            value: elasticsearch
            description: Represents the use of Elasticsearch® index as an Azure OpenAI chat extension.
          - name: pinecone
            value: pinecone
            description: Represents the use of Pinecone index as an Azure OpenAI chat extension.
    azureSearchChatExtensionConfiguration:
      required:
        - parameters
      description: |-
        A specific representation of configurable options for Azure Search when using it as an Azure OpenAI chat
        extension.
      allOf:
        - $ref: '#/components/schemas/azureChatExtensionConfiguration'
        - properties:
            parameters:
              $ref: '#/components/schemas/azureSearchChatExtensionParameters'
      x-ms-discriminator-value: azure_search
    azureSearchChatExtensionParameters:
      required:
        - authentication
        - endpoint
        - index_name
      type: object
      properties:
        authentication:
          oneOf:
            - $ref: '#/components/schemas/onYourDataApiKeyAuthenticationOptions'
            - $ref: '#/components/schemas/onYourDataSystemAssignedManagedIdentityAuthenticationOptions'
            - $ref: '#/components/schemas/onYourDataUserAssignedManagedIdentityAuthenticationOptions'
            - $ref: '#/components/schemas/onYourDataAccessTokenAuthenticationOptions'
        top_n_documents:
          type: integer
          description: The configured top number of documents to feature for the configured query.
          format: int32
        max_search_queries:
          type: integer
          description: The max number of rewritten queries should be send to search provider for one user message. If not specified, the system will decide the number of queries to send.
          format: int32
        allow_partial_result:
          type: boolean
          default: false
          description: If specified as true, the system will allow partial search results to be used and the request fails if all the queries fail. If not specified, or specified as false, the request will fail if any search query fails.
        in_scope:
          type: boolean
          description: Whether queries should be restricted to use of indexed data.
        strictness:
          maximum: 5
          minimum: 1
          type: integer
          description: The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer.
          format: int32
        role_information:
          type: string
          description: Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. There's a 100 token limit for it, and it counts against the overall token limit.
        endpoint:
          type: string
          description: The absolute endpoint path for the Azure Search resource to use.
          format: uri
        index_name:
          type: string
          description: The name of the index to use as available in the referenced Azure Search resource.
        fields_mapping:
          $ref: '#/components/schemas/azureSearchIndexFieldMappingOptions'
        query_type:
          $ref: '#/components/schemas/azureSearchQueryType'
        semantic_configuration:
          type: string
          description: The additional semantic configuration for the query.
        filter:
          type: string
          description: Search filter.
        embedding_dependency:
          oneOf:
            - $ref: '#/components/schemas/onYourDataEndpointVectorizationSource'
            - $ref: '#/components/schemas/onYourDataDeploymentNameVectorizationSource'
        include_contexts:
          type: array
          description: The included properties of the output context. If not specified, the default value is `citations` and `intent`.
          items:
            $ref: '#/components/schemas/onYourDataContextProperty'
      description: Parameters for Azure Search when used as an Azure OpenAI chat extension.
    azureSearchIndexFieldMappingOptions:
      type: object
      properties:
        title_field:
          type: string
          description: The name of the index field to use as a title.
        url_field:
          type: string
          description: The name of the index field to use as a URL.
        filepath_field:
          type: string
          description: The name of the index field to use as a filepath.
        content_fields:
          type: array
          description: The names of index fields that should be treated as content.
          items:
            type: string
        content_fields_separator:
          type: string
          description: The separator pattern that content fields should use.
        vector_fields:
          type: array
          description: The names of fields that represent vector data.
          items:
            type: string
        image_vector_fields:
          type: array
          description: The names of fields that represent image vector data.
          items:
            type: string
      description: Optional settings to control how fields are processed when using a configured Azure Search resource.
    azureSearchQueryType:
      type: string
      description: The type of Azure Search retrieval query that should be executed when using it as an Azure OpenAI chat extension.
      enum:
        - simple
        - semantic
        - vector
        - vector_simple_hybrid
        - vector_semantic_hybrid
      x-ms-enum:
        name: AzureSearchQueryType
        modelAsString: true
        values:
          - name: simple
            value: simple
            description: Represents the default, simple query parser.
          - name: semantic
            value: semantic
            description: Represents the semantic query parser for advanced semantic modeling.
          - name: vector
            value: vector
            description: Represents vector search over computed data.
          - name: vectorSimpleHybrid
            value: vector_simple_hybrid
            description: Represents a combination of the simple query strategy with vector data.
          - name: vectorSemanticHybrid
            value: vector_semantic_hybrid
            description: Represents a combination of semantic search and vector data querying.
    azureMachineLearningIndexChatExtensionConfiguration:
      required:
        - parameters
      description: |-
        A specific representation of configurable options for Azure Machine Learning vector index when using it as an Azure
        OpenAI chat extension.
      allOf:
        - $ref: '#/components/schemas/azureChatExtensionConfiguration'
        - properties:
            parameters:
              $ref: '#/components/schemas/azureMachineLearningIndexChatExtensionParameters'
      x-ms-discriminator-value: azure_ml_index
    azureMachineLearningIndexChatExtensionParameters:
      required:
        - authentication
        - name
        - project_resource_id
        - version
      type: object
      properties:
        authentication:
          oneOf:
            - $ref: '#/components/schemas/onYourDataAccessTokenAuthenticationOptions'
            - $ref: '#/components/schemas/onYourDataSystemAssignedManagedIdentityAuthenticationOptions'
            - $ref: '#/components/schemas/onYourDataUserAssignedManagedIdentityAuthenticationOptions'
        top_n_documents:
          type: integer
          description: The configured top number of documents to feature for the configured query.
          format: int32
        max_search_queries:
          type: integer
          description: The max number of rewritten queries should be send to search provider for one user message. If not specified, the system will decide the number of queries to send.
          format: int32
        allow_partial_result:
          type: boolean
          default: false
          description: If specified as true, the system will allow partial search results to be used and the request fails if all the queries fail. If not specified, or specified as false, the request will fail if any search query fails.
        in_scope:
          type: boolean
          description: Whether queries should be restricted to use of indexed data.
        strictness:
          maximum: 5
          minimum: 1
          type: integer
          description: The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer.
          format: int32
        role_information:
          type: string
          description: Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. There's a 100 token limit for it, and it counts against the overall token limit.
        project_resource_id:
          type: string
          description: The resource ID of the Azure Machine Learning project.
        name:
          type: string
          description: The Azure Machine Learning vector index name.
        version:
          type: string
          description: The version of the Azure Machine Learning vector index.
        filter:
          type: string
          description: Search filter. Only supported if the Azure Machine Learning vector index is of type AzureSearch.
        include_contexts:
          type: array
          description: The included properties of the output context. If not specified, the default value is `citations` and `intent`.
          items:
            $ref: '#/components/schemas/onYourDataContextProperty'
      description: Parameters for the Azure Machine Learning vector index chat extension.
    azureCosmosDBChatExtensionConfiguration:
      required:
        - parameters
      description: |-
        A specific representation of configurable options for Azure Cosmos DB when using it as an Azure OpenAI chat
        extension.
      allOf:
        - $ref: '#/components/schemas/azureChatExtensionConfiguration'
        - properties:
            parameters:
              $ref: '#/components/schemas/azureCosmosDBChatExtensionParameters'
      x-ms-discriminator-value: azure_cosmos_db
    azureCosmosDBChatExtensionParameters:
      required:
        - authentication
        - container_name
        - database_name
        - embedding_dependency
        - fields_mapping
        - index_name
      type: object
      properties:
        authentication:
          $ref: '#/components/schemas/onYourDataConnectionStringAuthenticationOptions'
        top_n_documents:
          type: integer
          description: The configured top number of documents to feature for the configured query.
          format: int32
        max_search_queries:
          type: integer
          description: The max number of rewritten queries should be send to search provider for one user message. If not specified, the system will decide the number of queries to send.
          format: int32
        allow_partial_result:
          type: boolean
          default: false
          description: If specified as true, the system will allow partial search results to be used and the request fails if all the queries fail. If not specified, or specified as false, the request will fail if any search query fails.
        in_scope:
          type: boolean
          description: Whether queries should be restricted to use of indexed data.
        strictness:
          maximum: 5
          minimum: 1
          type: integer
          description: The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer.
          format: int32
        role_information:
          type: string
          description: Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. There's a 100 token limit for it, and it counts against the overall token limit.
        database_name:
          type: string
          description: The MongoDB vCore database name to use with Azure Cosmos DB.
        container_name:
          type: string
          description: The name of the Azure Cosmos DB resource container.
        index_name:
          type: string
          description: The MongoDB vCore index name to use with Azure Cosmos DB.
        fields_mapping:
          $ref: '#/components/schemas/azureCosmosDBFieldMappingOptions'
        embedding_dependency:
          oneOf:
            - $ref: '#/components/schemas/onYourDataEndpointVectorizationSource'
            - $ref: '#/components/schemas/onYourDataDeploymentNameVectorizationSource'
        include_contexts:
          type: array
          description: The included properties of the output context. If not specified, the default value is `citations` and `intent`.
          items:
            $ref: '#/components/schemas/onYourDataContextProperty'
      description: |-
        Parameters to use when configuring Azure OpenAI On Your Data chat extensions when using Azure Cosmos DB for
        MongoDB vCore.
    azureCosmosDBFieldMappingOptions:
      required:
        - content_fields
        - vector_fields
      type: object
      properties:
        title_field:
          type: string
          description: The name of the index field to use as a title.
        url_field:
          type: string
          description: The name of the index field to use as a URL.
        filepath_field:
          type: string
          description: The name of the index field to use as a filepath.
        content_fields:
          type: array
          description: The names of index fields that should be treated as content.
          items:
            type: string
        content_fields_separator:
          type: string
          description: The separator pattern that content fields should use.
        vector_fields:
          type: array
          description: The names of fields that represent vector data.
          items:
            type: string
      description: Optional settings to control how fields are processed when using a configured Azure Cosmos DB resource.
    elasticsearchChatExtensionConfiguration:
      required:
        - parameters
      description: |-
        A specific representation of configurable options for Elasticsearch when using it as an Azure OpenAI chat
        extension.
      allOf:
        - $ref: '#/components/schemas/azureChatExtensionConfiguration'
        - properties:
            parameters:
              $ref: '#/components/schemas/elasticsearchChatExtensionParameters'
      x-ms-discriminator-value: elasticsearch
    elasticsearchChatExtensionParameters:
      required:
        - authentication
        - endpoint
        - index_name
      type: object
      properties:
        authentication:
          oneOf:
            - $ref: '#/components/schemas/onYourDataKeyAndKeyIdAuthenticationOptions'
            - $ref: '#/components/schemas/onYourDataEncodedApiKeyAuthenticationOptions'
        top_n_documents:
          type: integer
          description: The configured top number of documents to feature for the configured query.
          format: int32
        max_search_queries:
          type: integer
          description: The max number of rewritten queries should be send to search provider for one user message. If not specified, the system will decide the number of queries to send.
          format: int32
        allow_partial_result:
          type: boolean
          default: false
          description: If specified as true, the system will allow partial search results to be used and the request fails if all the queries fail. If not specified, or specified as false, the request will fail if any search query fails.
        in_scope:
          type: boolean
          description: Whether queries should be restricted to use of indexed data.
        strictness:
          maximum: 5
          minimum: 1
          type: integer
          description: The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer.
          format: int32
        role_information:
          type: string
          description: Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. There's a 100 token limit for it, and it counts against the overall token limit.
        endpoint:
          type: string
          description: The endpoint of Elasticsearch®.
          format: uri
        index_name:
          type: string
          description: The index name of Elasticsearch®.
        fields_mapping:
          $ref: '#/components/schemas/elasticsearchIndexFieldMappingOptions'
        query_type:
          $ref: '#/components/schemas/elasticsearchQueryType'
        embedding_dependency:
          oneOf:
            - $ref: '#/components/schemas/onYourDataEndpointVectorizationSource'
            - $ref: '#/components/schemas/onYourDataDeploymentNameVectorizationSource'
            - $ref: '#/components/schemas/onYourDataModelIdVectorizationSource'
        include_contexts:
          type: array
          description: The included properties of the output context. If not specified, the default value is `citations` and `intent`.
          items:
            $ref: '#/components/schemas/onYourDataContextProperty'
      description: 'Parameters to use when configuring Elasticsearch® as an Azure OpenAI chat extension. '
    elasticsearchIndexFieldMappingOptions:
      type: object
      properties:
        title_field:
          type: string
          description: The name of the index field to use as a title.
        url_field:
          type: string
          description: The name of the index field to use as a URL.
        filepath_field:
          type: string
          description: The name of the index field to use as a filepath.
        content_fields:
          type: array
          description: The names of index fields that should be treated as content.
          items:
            type: string
        content_fields_separator:
          type: string
          description: The separator pattern that content fields should use.
        vector_fields:
          type: array
          description: The names of fields that represent vector data.
          items:
            type: string
      description: Optional settings to control how fields are processed when using a configured Elasticsearch® resource.
    elasticsearchQueryType:
      type: string
      description: The type of Elasticsearch® retrieval query that should be executed when using it as an Azure OpenAI chat extension.
      enum:
        - simple
        - vector
      x-ms-enum:
        name: ElasticsearchQueryType
        modelAsString: true
        values:
          - name: simple
            value: simple
            description: Represents the default, simple query parser.
          - name: vector
            value: vector
            description: Represents vector search over computed data.
    pineconeChatExtensionConfiguration:
      required:
        - parameters
      description: |-
        A specific representation of configurable options for Pinecone when using it as an Azure OpenAI chat
        extension.
      allOf:
        - $ref: '#/components/schemas/azureChatExtensionConfiguration'
        - properties:
            parameters:
              $ref: '#/components/schemas/pineconeChatExtensionParameters'
      x-ms-discriminator-value: pinecone
    pineconeChatExtensionParameters:
      required:
        - authentication
        - embedding_dependency
        - environment
        - fields_mapping
        - index_name
      type: object
      properties:
        authentication:
          $ref: '#/components/schemas/onYourDataApiKeyAuthenticationOptions'
        top_n_documents:
          type: integer
          description: The configured top number of documents to feature for the configured query.
          format: int32
        max_search_queries:
          type: integer
          description: The max number of rewritten queries should be send to search provider for one user message. If not specified, the system will decide the number of queries to send.
          format: int32
        allow_partial_result:
          type: boolean
          default: false
          description: If specified as true, the system will allow partial search results to be used and the request fails if all the queries fail. If not specified, or specified as false, the request will fail if any search query fails.
        in_scope:
          type: boolean
          description: Whether queries should be restricted to use of indexed data.
        strictness:
          maximum: 5
          minimum: 1
          type: integer
          description: The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer.
          format: int32
        role_information:
          type: string
          description: Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. There's a 100 token limit for it, and it counts against the overall token limit.
        environment:
          type: string
          description: The environment name of Pinecone.
        index_name:
          type: string
          description: The name of the Pinecone database index.
        fields_mapping:
          $ref: '#/components/schemas/pineconeFieldMappingOptions'
        embedding_dependency:
          $ref: '#/components/schemas/onYourDataDeploymentNameVectorizationSource'
        include_contexts:
          type: array
          description: The included properties of the output context. If not specified, the default value is `citations` and `intent`.
          items:
            $ref: '#/components/schemas/onYourDataContextProperty'
      description: Parameters for configuring Azure OpenAI Pinecone chat extensions.
    pineconeFieldMappingOptions:
      required:
        - content_fields
      type: object
      properties:
        title_field:
          type: string
          description: The name of the index field to use as a title.
        url_field:
          type: string
          description: The name of the index field to use as a URL.
        filepath_field:
          type: string
          description: The name of the index field to use as a filepath.
        content_fields:
          type: array
          description: The names of index fields that should be treated as content.
          items:
            type: string
        content_fields_separator:
          type: string
          description: The separator pattern that content fields should use.
      description: Optional settings to control how fields are processed when using a configured Pinecone resource.
    onYourDataAuthenticationOptions:
      required:
        - type
      type: object
      properties:
        type:
          $ref: '#/components/schemas/onYourDataAuthenticationType'
      description: The authentication options for Azure OpenAI On Your Data.
      discriminator:
        propertyName: type
        mapping:
          api_key: '#/components/schemas/onYourDataApiKeyAuthenticationOptions'
          connection_string: '#/components/schemas/onYourDataConnectionStringAuthenticationOptions'
          key_and_key_id: '#/components/schemas/onYourDataKeyAndKeyIdAuthenticationOptions'
          encoded_api_key: '#/components/schemas/onYourDataEncodedApiKeyAuthenticationOptions'
          access_token: '#/components/schemas/onYourDataAccessTokenAuthenticationOptions'
          system_assigned_managed_identity: '#/components/schemas/onYourDataSystemAssignedManagedIdentityAuthenticationOptions'
          user_assigned_managed_identity: '#/components/schemas/onYourDataUserAssignedManagedIdentityAuthenticationOptions'
    onYourDataContextProperty:
      type: string
      description: The context property.
      enum:
        - citations
        - intent
        - all_retrieved_documents
      x-ms-enum:
        name: OnYourDataContextProperty
        modelAsString: true
        values:
          - name: citations
            value: citations
            description: The `citations` property.
          - name: intent
            value: intent
            description: The `intent` property.
          - name: allRetrievedDocuments
            value: all_retrieved_documents
            description: The `all_retrieved_documents` property.
    onYourDataAuthenticationType:
      type: string
      description: The authentication types supported with Azure OpenAI On Your Data.
      enum:
        - api_key
        - connection_string
        - key_and_key_id
        - encoded_api_key
        - access_token
        - system_assigned_managed_identity
        - user_assigned_managed_identity
      x-ms-enum:
        name: OnYourDataAuthenticationType
        modelAsString: true
        values:
          - name: apiKey
            value: api_key
            description: Authentication via API key.
          - name: connectionString
            value: connection_string
            description: Authentication via connection string.
          - name: keyAndKeyId
            value: key_and_key_id
            description: Authentication via key and key ID pair.
          - name: encodedApiKey
            value: encoded_api_key
            description: Authentication via encoded API key.
          - name: accessToken
            value: access_token
            description: Authentication via access token.
          - name: systemAssignedManagedIdentity
            value: system_assigned_managed_identity
            description: Authentication via system-assigned managed identity.
          - name: userAssignedManagedIdentity
            value: user_assigned_managed_identity
            description: Authentication via user-assigned managed identity.
    onYourDataApiKeyAuthenticationOptions:
      required:
        - key
      description: The authentication options for Azure OpenAI On Your Data when using an API key.
      allOf:
        - $ref: '#/components/schemas/onYourDataAuthenticationOptions'
        - properties:
            key:
              type: string
              description: The API key to use for authentication.
      x-ms-discriminator-value: api_key
    onYourDataConnectionStringAuthenticationOptions:
      required:
        - connection_string
      description: The authentication options for Azure OpenAI On Your Data when using a connection string.
      allOf:
        - $ref: '#/components/schemas/onYourDataAuthenticationOptions'
        - properties:
            connection_string:
              type: string
              description: The connection string to use for authentication.
      x-ms-discriminator-value: connection_string
    onYourDataKeyAndKeyIdAuthenticationOptions:
      required:
        - key
        - key_id
      description: The authentication options for Azure OpenAI On Your Data when using an Elasticsearch key and key ID pair.
      allOf:
        - $ref: '#/components/schemas/onYourDataAuthenticationOptions'
        - properties:
            key:
              type: string
              description: The Elasticsearch key to use for authentication.
            key_id:
              type: string
              description: The Elasticsearch key ID to use for authentication.
      x-ms-discriminator-value: key_and_key_id
    onYourDataEncodedApiKeyAuthenticationOptions:
      required:
        - encoded_api_key
      description: The authentication options for Azure OpenAI On Your Data when using an Elasticsearch encoded API key.
      allOf:
        - $ref: '#/components/schemas/onYourDataAuthenticationOptions'
        - properties:
            encoded_api_key:
              type: string
              description: The Elasticsearch encoded API key to use for authentication.
      x-ms-discriminator-value: encoded_api_key
    onYourDataAccessTokenAuthenticationOptions:
      required:
        - access_token
      description: The authentication options for Azure OpenAI On Your Data when using access token.
      allOf:
        - $ref: '#/components/schemas/onYourDataAuthenticationOptions'
        - properties:
            access_token:
              type: string
              description: The access token to use for authentication.
      x-ms-discriminator-value: access_token
    onYourDataSystemAssignedManagedIdentityAuthenticationOptions:
      description: The authentication options for Azure OpenAI On Your Data when using a system-assigned managed identity.
      allOf:
        - $ref: '#/components/schemas/onYourDataAuthenticationOptions'
      x-ms-discriminator-value: system_assigned_managed_identity
    onYourDataUserAssignedManagedIdentityAuthenticationOptions:
      required:
        - managed_identity_resource_id
      description: The authentication options for Azure OpenAI On Your Data when using a user-assigned managed identity.
      allOf:
        - $ref: '#/components/schemas/onYourDataAuthenticationOptions'
        - properties:
            managed_identity_resource_id:
              type: string
              description: The resource ID of the user-assigned managed identity to use for authentication.
      x-ms-discriminator-value: user_assigned_managed_identity
    onYourDataVectorizationSource:
      required:
        - type
      type: object
      properties:
        type:
          $ref: '#/components/schemas/onYourDataVectorizationSourceType'
      description: An abstract representation of a vectorization source for Azure OpenAI On Your Data with vector search.
      discriminator:
        propertyName: type
        mapping:
          endpoint: '#/components/schemas/onYourDataEndpointVectorizationSource'
          deployment_name: '#/components/schemas/onYourDataDeploymentNameVectorizationSource'
          model_id: '#/components/schemas/onYourDataModelIdVectorizationSource'
    onYourDataVectorizationSourceType:
      type: string
      description: |-
        Represents the available sources Azure OpenAI On Your Data can use to configure vectorization of data for use with
        vector search.
      enum:
        - endpoint
        - deployment_name
        - model_id
      x-ms-enum:
        name: OnYourDataVectorizationSourceType
        modelAsString: true
        values:
          - name: endpoint
            value: endpoint
            description: Represents vectorization performed by public service calls to an Azure OpenAI embedding model.
          - name: deploymentName
            value: deployment_name
            description: |-
              Represents an Ada model deployment name to use. This model deployment must be in the same Azure OpenAI resource, but
              On Your Data will use this model deployment via an internal call rather than a public one, which enables vector
              search even in private networks.
          - name: modelId
            value: model_id
            description: |-
              Represents a specific embedding model ID as defined in the search service.
              Currently only supported by Elasticsearch®.
    onYourDataEndpointVectorizationSource:
      required:
        - authentication
        - endpoint
      description: |-
        The details of a a vectorization source, used by Azure OpenAI On Your Data when applying vector search, that is based
        on a public Azure OpenAI endpoint call for embeddings.
      allOf:
        - $ref: '#/components/schemas/onYourDataVectorizationSource'
        - properties:
            endpoint:
              type: string
              description: Specifies the resource endpoint URL from which embeddings should be retrieved. It should be in the format of https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings. The api-version query parameter is not allowed.
              format: uri
            authentication:
              oneOf:
                - $ref: '#/components/schemas/onYourDataApiKeyAuthenticationOptions'
                - $ref: '#/components/schemas/onYourDataAccessTokenAuthenticationOptions'
            dimensions:
              type: integer
              description: The number of dimensions the embeddings should have. Only supported in `text-embedding-3` and later models.
              format: int32
      x-ms-discriminator-value: endpoint
    onYourDataDeploymentNameVectorizationSource:
      required:
        - deployment_name
      description: |-
        The details of a a vectorization source, used by Azure OpenAI On Your Data when applying vector search, that is based
        on an internal embeddings model deployment name in the same Azure OpenAI resource.
      allOf:
        - $ref: '#/components/schemas/onYourDataVectorizationSource'
        - properties:
            deployment_name:
              type: string
              description: Specifies the name of the model deployment to use for vectorization. This model deployment must be in the same Azure OpenAI resource, but On Your Data will use this model deployment via an internal call rather than a public one, which enables vector search even in private networks.
            dimensions:
              type: integer
              description: The number of dimensions the embeddings should have. Only supported in `text-embedding-3` and later models.
              format: int32
      x-ms-discriminator-value: deployment_name
    onYourDataModelIdVectorizationSource:
      required:
        - model_id
      description: |-
        The details of a a vectorization source, used by Azure OpenAI On Your Data when applying vector search, that is based
        on a search service model ID. Currently only supported by Elasticsearch®.
      allOf:
        - $ref: '#/components/schemas/onYourDataVectorizationSource'
        - properties:
            model_id:
              type: string
              description: Specifies the model ID to use for vectorization. This model ID must be defined in the search service.
      x-ms-discriminator-value: model_id
    azureChatExtensionsMessageContext:
      type: object
      properties:
        citations:
          type: array
          description: The data source retrieval result, used to generate the assistant message in the response.
          items:
            $ref: '#/components/schemas/citation'
          x-ms-identifiers: []
        intent:
          type: string
          description: The detected intent from the chat history, used to pass to the next turn to carry over the context.
        all_retrieved_documents:
          type: array
          description: All the retrieved documents.
          items:
            $ref: '#/components/schemas/retrievedDocument'

      description: |2-
          A representation of the additional context information available when Azure OpenAI chat extensions are involved
          in the generation of a corresponding chat completions response. This context information is only populated when
          using an Azure OpenAI request configured to use a matching extension.
    citation:
      required:
        - content
      type: object
      properties:
        content:
          type: string
          description: The content of the citation.
        title:
          type: string
          description: The title of the citation.
        url:
          type: string
          description: The URL of the citation.
        filepath:
          type: string
          description: The file path of the citation.
        chunk_id:
          type: string
          description: The chunk ID of the citation.
      description: citation information for a chat completions response message.
    retrievedDocument:
      type: object
      description: The retrieved document.
      required:
        - search_queries
        - data_source_index
      allOf:
        - $ref: '#/components/schemas/citation'
        - properties:
            search_queries:
              type: array
              description: The search queries used to retrieve the document.
              items:
                type: string
            data_source_index:
              type: integer
              description: The index of the data source.
              format: int32
            original_search_score:
              type: number
              description: The original search score of the retrieved document.
              format: double
            rerank_score:
              type: number
              description: The rerank score of the retrieved document.
              format: double
            filter_reason:
              $ref: '#/components/schemas/filterReason'
              description: Represents the rationale for filtering the document. If the document does not undergo filtering, this field will remain unset.

    filterReason:
      type: string
      description: The filtering reason of the retrieved document.
      enum:
        - score
        - rerank
      x-ms-enum:
        name: FilterReason
        modelAsString: true
        values:
          - name: score
            value: score
            description: The document is filtered by original search score threshold defined by `strictness` configure.
          - name: rerank
            value: rerank
            description: The document is not filtered by original search score threshold, but is filtered by rerank score and `top_n_documents` configure.

    chatCompletionMessageToolCall:
      type: object
      properties:
        id:
          type: string
          description: The ID of the tool call.
        type:
          $ref: '#/components/schemas/toolCallType'
        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
    toolCallType:
      type: string
      enum:
        - function
      description: The type of the tool call, in this case `function`.
      x-ms-enum:
        name: ToolCallType
        modelAsString: true
        values:
          - value: function
            description: The tool call type is function.
    chatCompletionRequestMessageTool:
      allOf:
        - $ref: '#/components/schemas/chatCompletionRequestMessage'
        - type: object
          nullable: true
          properties:
            tool_call_id:
              type: string
              description: Tool call that this message is responding to.
            content:
              type: string
              description: The contents of the message.
              nullable: true
      required:
        - tool_call_id
        - content
    chatCompletionRequestMessageFunction:
      allOf:
        - $ref: '#/components/schemas/chatCompletionRequestMessage'
        - type: object
          description: Deprecated. Message that represents a function.
          nullable: true
          properties:
            role:
              type: string
              enum:
                - function
              description: The role of the messages author, in this case `function`.
            name:
              type: string
              description: The contents of the message.
            content:
              type: string
              description: The contents of the message.
              nullable: true
      required:
        - function_call_id
        - content
    createChatCompletionResponse:
      type: object
      allOf:
        - $ref: '#/components/schemas/chatCompletionsResponseCommon'
        - properties:
            prompt_filter_results:
              $ref: '#/components/schemas/promptFilterResults'
            choices:
              type: array
              items:
                type: object
                allOf:
                  - $ref: '#/components/schemas/chatCompletionChoiceCommon'
                  - properties:
                      message:
                        $ref: '#/components/schemas/chatCompletionResponseMessage'
                      content_filter_results:
                        $ref: '#/components/schemas/contentFilterChoiceResults'
                      logprobs:
                        $ref: '#/components/schemas/chatCompletionChoiceLogProbs'
      required:
        - id
        - object
        - created
        - model
        - choices
    chatCompletionChoiceLogProbs:
      description: Log probability information for the choice.
      type: object
      nullable: true
      properties:
        content:
          description: A list of message content tokens with log probability information.
          type: array
          items:
            $ref: '#/components/schemas/chatCompletionTokenLogprob'
          nullable: true
      required:
        - content
    chatCompletionTokenLogprob:
      type: object
      properties:
        token:
          description: The token.
          type: string
        logprob:
          description: The log probability of this token.
          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.
                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
    chatCompletionResponseMessage:
      type: object
      description: A chat completion message generated by the model.
      properties:
        role:
          $ref: '#/components/schemas/chatCompletionResponseMessageRole'
        content:
          type: string
          description: The contents of the message.
          nullable: true
        tool_calls:
          type: array
          description: The tool calls generated by the model, such as function calls.
          items:
            $ref: '#/components/schemas/chatCompletionMessageToolCall'
        function_call:
          $ref: '#/components/schemas/chatCompletionFunctionCall'
        context:
          $ref: '#/components/schemas/azureChatExtensionsMessageContext'
    chatCompletionResponseMessageRole:
      type: string
      enum:
        - assistant
      description: The role of the author of the response message.
    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'
    chatCompletionNamedToolChoice:
      type: object
      description: Specifies a tool the model should use. Use to force the model to call a specific function.
      properties:
        type:
          type: string
          enum:
            - "function"
          description: The type of the tool. Currently, only `function` is supported.
        function:
          type: object
          properties:
            name:
              type: string
              description: The name of the function to call.
          required:
            - name
      required:
      - type
      - function

    chatCompletionFunctionCall:
      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:
        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
    chatCompletionsResponseCommon:
      type: object
      properties:
        id:
          type: string
          description: A unique identifier for the chat completion.
        object:
          $ref: '#/components/schemas/chatCompletionResponseObject'
        created:
          type: integer
          format: unixtime
          description: The Unix timestamp (in seconds) of when the chat completion was created.
        model:
          type: string
          description: The model used for the chat completion.
        usage:
          $ref: '#/components/schemas/completionUsage'
        system_fingerprint:
          type: string
          description: Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism.
      required:
        - id
        - object
        - created
        - model
    chatCompletionResponseObject:
      type: string
      description: The object type.
      enum:
        - chat.completion
      x-ms-enum:
        name: ChatCompletionResponseObject
        modelAsString: true
        values:
          - value: chat.completion
            description: The object type is chat completion.
    completionUsage:
      type: object
      description: Usage statistics for the completion request.
      properties:
        prompt_tokens:
          type: integer
          description: Number of tokens in the prompt.
        completion_tokens:
          type: integer
          description: Number of tokens in the generated completion.
        total_tokens:
          type: integer
          description: Total number of tokens used in the request (prompt + completion).
      required:
        - prompt_tokens
        - completion_tokens
        - total_tokens
    chatCompletionTool:
      type: object
      properties:
        type:
          $ref: '#/components/schemas/chatCompletionToolType'
        function:
          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/chatCompletionFunctionParameters'
          required:
            - name
            - parameters
      required:
        - type
        - function
    
    FunctionParameters:
      type: object
      description: "The parameters the functions accepts, described as a JSON Schema object. See the guide](/docs/guides/text-generation/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. \n\nOmitting `parameters` defines a function with an empty parameter list."
      additionalProperties: true
    
    functionObject:
      type: object
      properties:
        description:
          type: string
          description: A description of what the function does, used by the model to choose when and how to call the function.
        name:
          type: string
          description: The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.
        parameters:
          $ref: "#/components/schemas/FunctionParameters"
      required:
        - name
    
    chatCompletionToolType:
      type: string
      enum:
        - function
      description: The type of the tool. Currently, only `function` is supported.
      x-ms-enum:
        name: ChatCompletionToolType
        modelAsString: true
        values:
          - value: function
            description: The tool type is function.
    chatCompletionChoiceCommon:
      type: object
      properties:
        index:
          type: integer
        finish_reason:
          type: string
    createTranslationRequest:
      type: object
      description: Translation request.
      properties:
        file:
          type: string
          description: The audio file to translate.
          format: binary
        prompt:
          type: string
          description: An optional text to guide the model's style or continue a previous audio segment. The prompt should be in English.
        response_format:
          $ref: '#/components/schemas/audioResponseFormat'
        temperature:
          type: number
          default: 0
          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 to automatically increase the temperature until certain thresholds are hit.
      required:
        - file
    audioResponse:
      description: Translation or transcription response when response_format was json
      type: object
      properties:
        text:
          type: string
          description: Translated or transcribed text.
      required:
        - text
    audioVerboseResponse:
      description: Translation or transcription response when response_format was verbose_json
      type: object
      allOf:
        - $ref: '#/components/schemas/audioResponse'
        - properties:
            task:
              type: string
              description: Type of audio task.
              enum:
                - transcribe
                - translate
              x-ms-enum:
                modelAsString: true
            language:
              type: string
              description: Language.
            duration:
              type: number
              description: Duration.
            segments:
              type: array
              items:
                $ref: '#/components/schemas/audioSegment'
            words:
              type: array
              items:
                $ref: '#/components/schemas/audioWord'

      required:
        - text
    audioResponseFormat:
      title: AudioResponseFormat
      description: Defines the format of the output.
      enum:
        - json
        - text
        - srt
        - verbose_json
        - vtt
      type: string
      x-ms-enum:
        modelAsString: true
    createTranscriptionRequest:
      type: object
      description: Transcription request.
      properties:
        file:
          type: string
          description: The audio file object to transcribe.
          format: binary
        prompt:
          type: string
          description: An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.
        response_format:
          $ref: '#/components/schemas/audioResponseFormat'
        temperature:
          type: number
          default: 0
          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 to automatically increase the temperature until certain thresholds are hit.
        language:
          type: string
          description: The language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency.
        timestamp_granularities[]:
          description: |
            The timestamp granularities to populate for this transcription. `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.
          type: array
          items:
            type: string
            enum:
              - word
              - segment
          default: [segment]
      required:
        - file
    audioSegment:
      type: object
      description: Transcription or translation segment.
      properties:
        id:
          type: integer
          description: Segment identifier.
        seek:
          type: number
          description: Offset of the segment.
        start:
          type: number
          description: Segment start offset.
        end:
          type: number
          description: Segment end offset.
        text:
          type: string
          description: Segment text.
        tokens:
          type: array
          items:
            type: number
            nullable: false
          description: Tokens of the text.
        temperature:
          type: number
          description: Temperature.
        avg_logprob:
          type: number
          description: Average log probability.
        compression_ratio:
          type: number
          description: Compression ratio.
        no_speech_prob:
          type: number
          description: Probability of 'no speech'.
    audioWord:
      type: object
      description: Transcription or translation word.
      properties:
          word:
            type: string
            description: Word
          start:
            type: number
            description: Word start offset.
          end:
            type: number
            description: Word end offset.
    createSpeechRequest:
      type: object
      description: Speech request.
      properties:
        input:
          type: string
          description: The text to synthesize audio for. The maximum length is 4096 characters.
          maxLength: 4096
        voice:
          type: string
          description: The voice to use for speech synthesis.
          enum:
            - alloy
            - echo
            - fable
            - onyx
            - nova
            - shimmer
        response_format:
          type: string
          description: The format to synthesize the audio in.
          enum:
            - mp3
            - opus
            - aac
            - flac
            - wav
            - pcm
        speed:
          description: The speed of the synthesize 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:
        - input
        - voice
    imageQuality:
      description: The quality of the image that will be generated.
      type: string
      enum:
        - standard
        - hd
      default: standard
      x-ms-enum:
        name: Quality
        modelAsString: true
        values:
          - value: standard
            description: Standard quality creates images with standard quality.
            name: Standard
          - value: hd
            description: HD quality creates images with finer details and greater consistency across the image.
            name: HD
    imagesResponseFormat:
      description: The format in which the generated images are returned.
      type: string
      enum:
        - url
        - b64_json
      default: url
      x-ms-enum:
        name: ImagesResponseFormat
        modelAsString: true
        values:
          - value: url
            description: The URL that provides temporary access to download the generated images.
            name: Url
          - value: b64_json
            description: The generated images are returned as base64 encoded string.
            name: Base64Json
    imageSize:
      description: The size of the generated images.
      type: string
      enum:
        - 256x256
        - 512x512
        - 1792x1024
        - 1024x1792
        - 1024x1024
      default: 1024x1024
      x-ms-enum:
        name: Size
        modelAsString: true
        values:
          - value: 256x256
            description: The desired size of the generated image is 256x256 pixels. Only supported for dall-e-2.
            name: Size256x256
          - value: 512x512
            description: The desired size of the generated image is 512x512 pixels. Only supported for dall-e-2.
            name: Size512x512
          - value: 1792x1024
            description: The desired size of the generated image is 1792x1024 pixels. Only supported for dall-e-3.
            name: Size1792x1024
          - value: 1024x1792
            description: The desired size of the generated image is 1024x1792 pixels. Only supported for dall-e-3.
            name: Size1024x1792
          - value: 1024x1024
            description: The desired size of the generated image is 1024x1024 pixels.
            name: Size1024x1024
    imageStyle:
      description: The style of the generated images.
      type: string
      enum:
        - vivid
        - natural
      default: vivid
      x-ms-enum:
        name: Style
        modelAsString: true
        values:
          - value: vivid
            description: Vivid creates images that are hyper-realistic and dramatic.
            name: Vivid
          - value: natural
            description: Natural creates images that are more natural and less hyper-realistic.
            name: Natural
    imageGenerationsRequest:
      type: object
      properties:
        prompt:
          description: A text description of the desired image(s). The maximum length is 4000 characters.
          type: string
          format: string
          example: a corgi in a field
          minLength: 1
        'n':
          description: The number of images to generate.
          type: integer
          minimum: 1
          maximum: 1
          default: 1
        size:
          $ref: '#/components/schemas/imageSize'
        response_format:
          $ref: '#/components/schemas/imagesResponseFormat'
        user:
          description: A unique identifier representing your end-user, which can help to monitor and detect abuse.
          type: string
          format: string
          example: user123456
        quality:
          $ref: '#/components/schemas/imageQuality'
        style:
          $ref: '#/components/schemas/imageStyle'
      required:
        - prompt
    generateImagesResponse:
      type: object
      properties:
        created:
          type: integer
          format: unixtime
          description: The unix timestamp when the operation was created.
          example: '1676540381'
        data:
          type: array
          description: The result data of the operation, if successful
          items:
            $ref: '#/components/schemas/imageResult'
      required:
        - created
        - data
    imageResult:
      type: object
      description: The image url or encoded image if successful, and an error otherwise.
      properties:
        url:
          type: string
          description: The image url.
          example: https://www.contoso.com
        b64_json:
          type: string
          description: The base64 encoded image
        content_filter_results:
          $ref: '#/components/schemas/dalleContentFilterResults'
        revised_prompt:
          type: string
          description: The prompt that was used to generate the image, if there was any revision to the prompt.
        prompt_filter_results:
          $ref: '#/components/schemas/dalleFilterResults'
    line:
      type: object
      description: A content line object consisting of an adjacent sequence of content elements, such as words and selection marks.
      properties:
        text:
          type: string
        spans:
          type: array
          description: An array of spans that represent detected objects and its bounding box information.
          items:
            $ref: '#/components/schemas/span'
      required:
        - text
        - spans
    span:
      type: object
      description: A span object that represents a detected object and its bounding box information.
      properties:
        text:
          type: string
          description: The text content of the span that represents the detected object.
        offset:
          type: integer
          description: The character offset within the text where the span begins. This offset is defined as the position of the first character of the span, counting from the start of the text as Unicode codepoints.
        length:
          type: integer
          description: The length of the span in characters, measured in Unicode codepoints.
        polygon:
          type: array
          description: An array of objects representing points in the polygon that encloses the detected object.
          items:
            type: object
            properties:
              x:
                type: number
                description: The x-coordinate of the point.
              'y':
                type: number
                description: The y-coordinate of the point.
      required:
        - text
        - offset
        - length
        - polygon
    
    runCompletionUsage:
      type: object
      description: Usage statistics related to the run. This value will be `null` if the run is not in a terminal state (i.e. `in_progress`, `queued`, etc.).
      properties:
        completion_tokens:
          type: integer
          description: Number of completion tokens used over the course of the run.
        prompt_tokens:
          type: integer
          description: Number of prompt tokens used over the course of the run.
        total_tokens:
          type: integer
          description: Total number of tokens used (prompt + completion).
      required:
        - prompt_tokens
        - completion_tokens
        - total_tokens
      nullable: true

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

    assistantsApiResponseFormatOption:
      description: |
        Specifies the format that the model must output. Compatible with GPT-4 Turbo and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.

        Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON.

        **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.
      oneOf:
        - type: string
          description: >
            `auto` is the default value
          enum: [none, auto]
          x-ms-enum:
            name: AssistantsApiResponseFormatOption
            modelAsString: true
            values:
              - value: none
              - value: auto
        - $ref: "#/components/schemas/assistantsApiResponseFormat"

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

    assistantObject:
      type: object
      title: Assistant
      description: Represents an `assistant` that can call the model and use tools.
      properties:
        id:
          description: The identifier, which can be referenced in API endpoints.
          type: string
        object:
          description: The object type, which is always `assistant`.
          type: string
          enum:
            - assistant
          x-ms-enum:
            name: AssistantObjectType
            modelAsString: true
            values:
              - value: assistant
        created_at:
          type: integer
          description: The Unix timestamp (in seconds) for when the assistant was created.
        name:
          description: &assistant_name_param_description |
            The name of the assistant. The maximum length is 256 characters.
          type: string
          maxLength: 256
          nullable: true
        description:
          description: &assistant_description_param_description |
            The description of the assistant. The maximum length is 512 characters.
          type: string
          maxLength: 512
          nullable: true
        model:
          description: |
            ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.
          type: string
        instructions:
          description:  &assistant_instructions_param_description |
            The system instructions that the assistant uses. The maximum length is 256,000 characters.
          type: string
          maxLength: 256000
          nullable: true
        tools:
          description: &assistant_tools_param_description |
            A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`.
          default: []
          type: array
          maxItems: 128
          items:
            oneOf:
              - $ref: '#/components/schemas/assistantToolsCode'
              - $ref: '#/components/schemas/assistantToolsFileSearch'
              - $ref: '#/components/schemas/assistantToolsFunction'
        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 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 attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.
                  maxItems: 1
                  items:
                    type: string
        metadata:
          description: &metadata_description |
            Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maximum of 512 characters long.
          type: object
          nullable: true
        temperature:
          description: &run_temperature_description |
            What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
          type: number
          minimum: 0
          maximum: 2
          default: 1
          example: 1
          nullable: true
        top_p:
          type: number
          minimum: 0
          maximum: 1
          default: 1
          example: 1
          nullable: true
          description: &run_top_p_description |
            An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.

            We generally recommend altering this or temperature but not both.
        response_format:
          $ref: "#/components/schemas/assistantsApiResponseFormatOption"
          nullable: true
      required:
        - id
        - object
        - created_at
        - name
        - description
        - model
        - instructions
        - tools
        - metadata
        
    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/overview) for descriptions of them.
          anyOf:
            - type: string
        name:
          description: *assistant_name_param_description
          type: string
          nullable: true
          maxLength: 256
        description:
          description: *assistant_description_param_description
          type: string
          nullable: true
          maxLength: 512
        instructions:
          description: *assistant_instructions_param_description
          type: string
          nullable: true
          maxLength: 256000
        tools:
          description: *assistant_tools_param_description
          default: []
          type: array
          maxItems: 128
          items:
            oneOf:
              - $ref: '#/components/schemas/assistantToolsCode'
              - $ref: '#/components/schemas/assistantToolsFileSearch'
              - $ref: '#/components/schemas/assistantToolsFunction'
        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 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 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 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 IDs to add to the vector store. There can be a maximum of 10000 files in a vector store.
                        maxItems: 10000
                        items:
                          type: string
                      chunking_strategy:
                        # Ideally we'd reuse the chunking strategy schema here, but it doesn't expand properly
                        type: object
                        description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy.
                        oneOf:
                            - type: object
                              title: Auto Chunking Strategy
                              description: The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`.
                              additionalProperties: false
                              properties:
                                  type:
                                      type: string
                                      description: Always `auto`.
                                      enum: ["auto"]
                                      x-ms-enum:
                                          name: AutoChunkingStrategyType
                                          modelAsString: true
                                          values:
                                              - value: auto
                              required:
                                  - type 
                            - type: object
                              title: Static Chunking Strategy
                              additionalProperties: false
                              properties:
                                  type:
                                      type: string
                                      description: Always `static`.
                                      enum: ["static"]
                                      x-ms-enum:
                                          name: StaticChunkingStrategyType
                                          modelAsString: true
                                          values:
                                              - value: static
                                  static:
                                      type: object
                                      additionalProperties: false
                                      properties:
                                          max_chunk_size_tokens:
                                              type: integer
                                              minimum: 100
                                              maximum: 4096
                                              description: The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the maximum value is `4096`.
                                          chunk_overlap_tokens:
                                              type: integer
                                              description: |
                                                  The number of tokens that overlap between chunks. The default value is `400`.
                                                  
                                                  Note that the overlap must not exceed half of `max_chunk_size_tokens`.
                                      required:
                                          - max_chunk_size_tokens
                                          - chunk_overlap_tokens
                              required:
                                  - type
                                  - static
                      metadata:
                        type: object
                        description: |
                          Set of 16 key-value pairs that can be attached to a vector store. This can be useful for storing additional information about the vector store in a structured format. Keys can be a maximum of 64 characters long and values can be a maximum of 512 characters long.
              oneOf:
                - required: [vector_store_ids]
                - required: [vector_stores]
          nullable: true
        metadata:
          description: *metadata_description
          type: object
          nullable: true
        temperature:
          description: *run_temperature_description
          type: number
          minimum: 0
          maximum: 2
          default: 1
          example: 1
          nullable: true
        top_p:
          type: number
          minimum: 0
          maximum: 1
          default: 1
          example: 1
          nullable: true
          description: *run_top_p_description
        response_format:
          $ref: "#/components/schemas/assistantsApiResponseFormatOption"
          nullable: true
      required:
        - model

    modifyAssistantRequest:
      type: object
      additionalProperties: false
      properties:
        model:
          description: |
            ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.
          anyOf:
            - type: string
        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 32768 characters.
          type: string
          nullable: true
          maxLength: 32768
        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`, `retrieval`, 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: |
                    Overrides the list of file IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool.
                  default: []
                  maxItems: 20
                  items:
                    type: string
            file_search:
              type: object
              properties:
                vector_store_ids:
                  type: array
                  description: |
                    Overrides the vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.
                  maxItems: 1
                  items:
                    type: string
        metadata:
          description: *metadata_description
          type: object
          nullable: true
        temperature:
          description: *run_temperature_description
          type: number
          minimum: 0
          maximum: 2
          default: 1
          example: 1
          nullable: true
        top_p:
          type: number
          minimum: 0
          maximum: 1
          default: 1
          example: 1
          nullable: true
          description: *run_top_p_description
        response_format:
          $ref: "#/components/schemas/assistantsApiResponseFormatOption"
          nullable: true

    deleteAssistantResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
          enum:
            - assistant.deleted
          x-ms-enum:
            name: DeleteAssistantResponseState
            modelAsString: true
            values:
              - value: assistant.deleted
      required:
        - id
        - object
        - deleted

    listAssistantsResponse:
      type: object
      properties:
        object:
          type: string
          example: list
        data:
          type: array
          items:
            $ref: '#/components/schemas/assistantObject'
        first_id:
          type: string
          example: asst_hLBK7PXBv5Lr2NQT7KLY0ag1
        last_id:
          type: string
          example: asst_QLoItBbqwyAJEzlTy4y9kOMM
        has_more:
          type: boolean
          example: false
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more
    
    assistantToolsCode:
      type: object
      title: Code interpreter tool
      properties:
        type:
          type: string
          description: 'The type of tool being defined: `code_interpreter`'
          enum:
            - code_interpreter
          x-ms-enum:
            name: assistantToolsCodeType
            modelAsString: true
            values:
              - value: code_interpreter
      required:
        - type

    assistantToolsFileSearch:
      type: object
      title: FileSearch tool
      properties:
        type:
          type: string
          description: 'The type of tool being defined: `file_search`'
          enum:
            - file_search
          x-ms-enum:
            name: assistantToolsFileSearchType
            modelAsString: true
            values:
              - value: file_search
        file_search:
          type: object
          description: Overrides for the file search tool.
          properties:
            max_num_results:
              type: integer
              minimum: 1
              maximum: 50
              description: |
                The maximum number of results the file search tool should output. The
                default is 20 for gpt-4* models and 5 for gpt-3.5-turbo. This number
                should be between 1 and 50 inclusive.


                Note that the file search tool may output fewer than `max_num_results`
                results. See the [file search tool
                documentation](/docs/assistants/tools/file-search/number-of-chunks-returned)
                for more information.
      required:
        - type
    
    assistantToolsFileSearchTypeOnly:
      type: object
      title: FileSearch tool
      properties:
        type:
          type: string
          description: 'The type of tool being defined: `file_search`'
          enum:
            - file_search
          x-ms-enum:
            name: assistantToolsFileSearchType
            modelAsString: true
            values:
              - value: file_search
      required:
        - type


    assistantToolsFunction:
      type: object
      title: Function tool
      properties:
        type:
          type: string
          description: 'The type of tool being defined: `function`'
          enum:
            - function
          x-ms-enum:
            name: assistantToolsFunction
            modelAsString: true
            values:
              - value: function
        function:
          type: object
          description: The function definition.
          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/chatCompletionFunctionParameters'
          required:
            - name
            - parameters
            - description
      required:
        - type
        - function
    
    truncationObject:
      type: object
      title: Thread Truncation Controls
      description: Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run.
      properties:
        type:
          type: string
          description: The truncation strategy to use for the thread. The default is `auto`. If set to `last_messages`, the thread will be truncated to the n most recent messages in the thread. When set to `auto`, messages in the middle of the thread will be dropped to fit the context length of the model, `max_prompt_tokens`.
          enum: ["auto", "last_messages"]
          x-ms-enum:
            name: TruncationType
            modelAsString: true
            values:
              - value: auto
              - value: last_messages
        last_messages:
          type: integer
          description: The number of most recent messages from the thread when constructing the context for the run.
          minimum: 1
          nullable: true
      required:
        - type

    assistantsApiToolChoiceOption:
      description: |
        Controls which (if any) tool is called by the model.
        `none` means the model will not call any tools and instead generates a message.
        `auto` is the default value and means the model can pick between generating a message or calling a tool.
        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 a function and instead generates a message.
            `auto` means the model can pick between generating a message or calling a function.
          enum: [none, auto]
          x-ms-enum:
            name: AssistantsApiToolChoiceOption
            modelAsString: true
            values:
              - value: none
              - value: auto
        - $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
          x-ms-enum:
            name: AssistantsNamedToolChoiceType
            modelAsString: true
            values:
              - value: function
              - value: code_interpreter
              - value: file_search
        function:
          type: object
          properties:
            name:
              type: string
              description: The name of the function to call.
          required:
            - name
      required:
        - type

    runObject:
      type: object
      title: A run on a thread
      description: Represents an execution run on a [thread](/docs/api-reference/threads).
      properties:
        id:
          description: The identifier, which can be referenced in API endpoints.
          type: string
        object:
          description: The object type, which is always `thread.run`.
          type: string
          enum:
            - thread.run
          x-ms-enum:
            name: runObjectType
            modelAsString: true
            values:
              - value: thread.run
                description: The run object type which is always thread.run
        created_at:
          description: The Unix timestamp (in seconds) for when the run was created.
          type: integer
        thread_id:
          description: The ID of the [thread](/docs/api-reference/threads) that was executed on as a part of this run.
          type: string
        assistant_id:
          description: The ID of the assistant used for execution of this run.
          type: string
        status:
          description: The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, or `expired`.
          type: string
          enum:
            - queued
            - in_progress
            - requires_action
            - cancelling
            - cancelled
            - failed
            - completed
            - expired
          x-ms-enum:
            name: RunObjectStatus
            modelAsString: true
            values:
              - value: queued
                description: The queued state
              - value: in_progress
                description: The in_progress state
              - value: requires_action
                description: The required_action state
              - value: cancelling
                description: The cancelling state
              - value: cancelled
                description: The cancelled state
              - value: failed
                description: The failed state
              - value: completed
                description: The completed state
              - value: expired
                description: The expired state
        required_action:
          type: object
          description: Details on the action required to continue the run. Will be `null` if no action is required.
          nullable: true
          properties:
            type:
              description: For now, this is always `submit_tool_outputs`.
              type: string
              enum:
                - submit_tool_outputs
            submit_tool_outputs:
              type: object
              description: Details on the tool outputs needed for this run to continue.
              properties:
                tool_calls:
                  type: array
                  description: A list of the relevant tool calls.
                  items:
                    $ref: '#/components/schemas/runToolCallObject'
              required:
                - tool_calls
          required:
            - type
            - submit_tool_outputs
        last_error:
          type: object
          description: The last error associated with this run. Will be `null` if there are no errors.
          nullable: true
          properties:
            code:
              type: string
              description: One of `server_error` or `rate_limit_exceeded`.
              enum:
                - server_error
                - rate_limit_exceeded
              x-ms-enum:
                name: LastErrorCode
                modelAsString: true
                values:
                  - value: server_error
                    description: The server failed to respond to request due to server error
                  - value: rate_limit_exceeded
                    description: The server failed to respond to request due to rate limit exceeded
            message:
              type: string
              description: A human-readable description of the error.
          required:
            - code
            - message
        expires_at:
          description: The Unix timestamp (in seconds) for when the run will expire.
          type: integer
        started_at:
          description: The Unix timestamp (in seconds) for when the run was started.
          type: integer
          nullable: true
        cancelled_at:
          description: The Unix timestamp (in seconds) for when the run was cancelled.
          type: integer
          nullable: true
        failed_at:
          description: The Unix timestamp (in seconds) for when the run failed.
          type: integer
          nullable: true
        completed_at:
          description: The Unix timestamp (in seconds) for when the run was completed.
          type: integer
          nullable: true
        incomplete_details:
          description: Details on why the run is incomplete. Will be `null` if the run is not incomplete.
          type: object
          nullable: true
          properties:
            reason:
              description: The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run.
              type: string
              enum: ["max_completion_tokens", "max_prompt_tokens"]
              x-ms-enum:
                name: IncompleteDetailsReason
                modelAsString: true
                values:
                  - value: max_completion_tokens
                  - value: max_prompt_tokens
        model:
          description: The model that the assistant used for this run.
          type: string
        instructions:
          description: The instructions that the assistant used for this run.
          type: string
        tools:
          description: The list of tools that the assistant used for this run.
          default: []
          type: array
          maxItems: 20
          items:
            oneOf:
              - $ref: '#/components/schemas/assistantToolsCode'
              - $ref: '#/components/schemas/assistantToolsFileSearch'
              - $ref: '#/components/schemas/assistantToolsFunction'            
        metadata:
          description: *metadata_description
          type: object
          nullable: true
        usage:
          $ref: "#/components/schemas/runCompletionUsage"
        temperature:
          description: The sampling temperature used for this run. If not set, defaults to 1.
          type: number
          nullable: true
        top_p:
          description: The nucleus sampling value used for this run. If not set, defaults to 1.
          type: number
          nullable: true
        max_prompt_tokens:
          type: integer
          nullable: true
          description: |
            The maximum number of prompt tokens specified to have been used over the course of the run.
          minimum: 256
        max_completion_tokens:
          type: integer
          nullable: true
          description: |
            The maximum number of completion tokens specified to have been used over the course of the run.
          minimum: 256
        truncation_strategy:
          $ref: "#/components/schemas/truncationObject"
          nullable: true
        tool_choice:
          $ref: "#/components/schemas/assistantsApiToolChoiceOption"
          nullable: true
        response_format:
          $ref: "#/components/schemas/assistantsApiResponseFormatOption"
          nullable: true
      required:
        - id
        - object
        - created_at
        - thread_id
        - assistant_id
        - status
        - required_action
        - last_error
        - expires_at
        - started_at
        - cancelled_at
        - failed_at
        - completed_at
        - model
        - instructions
        - tools
        - metadata
        - usage
        - incomplete_details
        - max_prompt_tokens
        - max_completion_tokens
        - truncation_strategy
        - tool_choice
        - response_format

    createRunRequest:
      type: object
      additionalProperties: false
      properties:
        assistant_id:
          description: The ID of the assistant to use to execute this run.
          type: string
        model:
          description: The ID of the Model to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.
          type: string
          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
        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:
          description: *metadata_description
          type: object
          nullable: true
        temperature:
          type: number
          minimum: 0
          maximum: 2
          default: 1
          example: 1
          nullable: true
          description: *run_temperature_description
        top_p:
          type: number
          minimum: 0
          maximum: 1
          default: 1
          example: 1
          nullable: true
          description: *run_top_p_description
        stream:
          type: boolean
          nullable: true
          description: |
            If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message.
        max_prompt_tokens:
          type: integer
          nullable: true
          description: |
            The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info.
          minimum: 256
        max_completion_tokens:
          type: integer
          nullable: true
          description: |
            The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info.
          minimum: 256
        truncation_strategy:
          $ref: "#/components/schemas/truncationObject"
          nullable: true
        tool_choice:
          $ref: "#/components/schemas/assistantsApiToolChoiceOption"
          nullable: true
        response_format:
          $ref: "#/components/schemas/assistantsApiResponseFormatOption"
          nullable: true
      required:
        - thread_id
        - assistant_id

    listRunsResponse:
      type: object
      properties:
        object:
          type: string
          example: list
        data:
          type: array
          items:
            $ref: '#/components/schemas/runObject'
        first_id:
          type: string
          example: run_hLBK7PXBv5Lr2NQT7KLY0ag1
        last_id:
          type: string
          example: run_QLoItBbqwyAJEzlTy4y9kOMM
        has_more:
          type: boolean
          example: false
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more

    modifyRunRequest:
      type: object
      additionalProperties: false
      properties:
        metadata:
          description: *metadata_description
          type: object
          nullable: true

    submitToolOutputsRunRequest:
      type: object
      additionalProperties: false
      properties:
        tool_outputs:
          description: A list of tools for which the outputs are being submitted.
          type: array
          items:
            type: object
            properties:
              tool_call_id:
                type: string
                description: The ID of the tool call in the `required_action` object within the run object the output is being submitted for.
              output:
                type: string
                description: The output of the tool call to be submitted to continue the run.
        stream:
          type: boolean
          nullable: true
          description: |
            If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message.
      required:
        - tool_outputs

    runToolCallObject:
      type: object
      description: Tool call objects
      properties:
        id:
          type: string
          description: The ID of the tool call. This ID must be referenced when you submit the tool outputs in using the [Submit tool outputs to run](/docs/api-reference/runs/submitToolOutputs) endpoint.
        type:
          type: string
          description: The type of tool call the output is required for. For now, this is always `function`.
          enum:
            - function
          x-ms-enum:
            name: RunToolCallObjectType
            modelAsString: true
            values:
              - value: function    
        function:
          type: object
          description: The function definition.
          properties:
            name:
              type: string
              description: The name of the function.
            arguments:
              type: string
              description: The arguments that the model expects you to pass to the function.
          required:
            - name
            - arguments
      required:
        - id
        - type
        - function

    createThreadAndRunRequest:
      type: object
      additionalProperties: false
      properties:
        assistant_id:
          description: The ID of the assistant to use to execute this run.
          type: string
        thread:
          $ref: '#/components/schemas/createThreadRequest'
          description: If no thread is provided, an empty thread will be created.
        model:
          description: The ID of the [Model](/docs/api-reference/models) to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.
          type: string
          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 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 attached to this assistant. There can be a maximum of 1 vector store attached to the assistant.
                  maxItems: 1
                  items:
                    type: string
          nullable: true
        metadata:
          description: *metadata_description
          type: object
          nullable: true
        temperature:
          type: number
          minimum: 0
          maximum: 2
          default: 1
          example: 1
          nullable: true
          description: *run_temperature_description
        top_p:
          type: number
          minimum: 0
          maximum: 1
          default: 1
          example: 1
          nullable: true
          description: *run_top_p_description
        stream:
          type: boolean
          nullable: true
          description: |
            If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message.
        max_prompt_tokens:
          type: integer
          nullable: true
          description: |
            The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info.
          minimum: 256
        max_completion_tokens:
          type: integer
          nullable: true
          description: |
            The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info.
          minimum: 256
        truncation_strategy:
          $ref: "#/components/schemas/truncationObject"
          nullable: true
        tool_choice:
          $ref: "#/components/schemas/assistantsApiToolChoiceOption"
          nullable: true
        response_format:
          $ref: "#/components/schemas/assistantsApiResponseFormatOption"
          nullable: true
      required:
        - thread_id
        - assistant_id

    threadObject:
      type: object
      title: Thread
      description: Represents a thread that contains [messages](/docs/api-reference/messages).
      properties:
        id:
          description: The identifier, which can be referenced in API endpoints.
          type: string
        object:
          description: The object type, which is always `thread`.
          type: string
          enum:
            - thread
          x-ms-enum:
            name: ThreadObjectType
            modelAsString: true
            values:
              - value: thread
                description: The type of thread object which is always `thread`
        created_at:
          description: The Unix timestamp (in seconds) for when the thread was created.
          type: integer
        tool_resources:
          type: object
          description: |
            A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.
          properties:
            code_interpreter:
              type: object
              properties:
                file_ids:
                  type: array
                  description: |
                    A list of file 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 attached to this thread. There can be a maximum of 1 vector store attached to the thread.
                  maxItems: 1
                  items:
                    type: string
          nullable: true
        metadata:
          description: *metadata_description
          type: object
          nullable: true
      required:
        - id
        - object
        - created_at
        - tool_resources
        - metadata
        
    createThreadRequest:
      type: object
      additionalProperties: false
      properties:
        messages:
          description: A list of 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 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 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 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 IDs to add to the vector store. There can be a maximum of 10000 files in a vector store.
                        maxItems: 10000
                        items:
                          type: string
                      chunking_strategy:
                        # Ideally we'd reuse the chunking strategy schema here, but it doesn't expand properly
                        type: object
                        description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy.
                        oneOf:
                            - type: object
                              title: Auto Chunking Strategy
                              description: The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`.
                              additionalProperties: false
                              properties:
                                  type:
                                      type: string
                                      description: Always `auto`.
                                      enum: ["auto"]
                                      x-ms-enum:
                                          name: AutoChunkingStrategyType
                                          modelAsString: true
                                          values:
                                              - value: auto
                              required:
                                  - type 
                            - type: object
                              title: Static Chunking Strategy
                              additionalProperties: false
                              properties:
                                  type:
                                      type: string
                                      description: Always `static`.
                                      enum: ["static"]
                                      x-ms-enum:
                                          name: StaticChunkingStrategyType
                                          modelAsString: true
                                          values:
                                              - value: static
                                  static:
                                      type: object
                                      additionalProperties: false
                                      properties:
                                          max_chunk_size_tokens:
                                              type: integer
                                              minimum: 100
                                              maximum: 4096
                                              description: The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the maximum value is `4096`.
                                          chunk_overlap_tokens:
                                              type: integer
                                              description: |
                                                  The number of tokens that overlap between chunks. The default value is `400`.
                                                  
                                                  Note that the overlap must not exceed half of `max_chunk_size_tokens`.
                                      required:
                                          - max_chunk_size_tokens
                                          - chunk_overlap_tokens
                              required:
                                  - type
                                  - static
                      metadata:
                        type: object
                        description: |
                          Set of 16 key-value pairs that can be attached to a vector store. This can be useful for storing additional information about the vector store in a structured format. Keys can be a maximum of 64 characters long and values can be a maximum of 512 characters long.
              oneOf:
                - required: [vector_store_ids]
                - required: [vector_stores]
          nullable: true
        metadata:
          description: *metadata_description
          type: object
          nullable: true

    modifyThreadRequest:
      type: object
      additionalProperties: false
      properties:
        tool_resources:
          type: object
          description: |
            A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.
          properties:
            code_interpreter:
              type: object
              properties:
                file_ids:
                  type: array
                  description: |
                    A list of File 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 attached to this thread. There can be a maximum of 1 vector store attached to the thread.
                  maxItems: 1
                  items:
                    type: string
          nullable: true
        metadata:
          description: *metadata_description
          type: object
          nullable: true

    deleteThreadResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
          enum:
            - thread.deleted
          x-ms-enum:
            name: DeleteThreadResponseObjectState
            modelAsString: true
            values:
              - value: thread.deleted
                description: The delete thread response object state which is `thread.deleted`
      required:
        - id
        - object
        - deleted

    listThreadsResponse:
      properties:
        object:
          type: string
          example: list
        data:
          type: array
          items:
            $ref: '#/components/schemas/threadObject'
        first_id:
          type: string
          example: asst_hLBK7PXBv5Lr2NQT7KLY0ag1
        last_id:
          type: string
          example: asst_QLoItBbqwyAJEzlTy4y9kOMM
        has_more:
          type: boolean
          example: false
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more

    messageObject:
      type: object
      title: The message object
      description: Represents a message within a [thread](/docs/api-reference/threads).
      properties:
        id:
          description: The identifier, which can be referenced in API endpoints.
          type: string
        object:
          description: The object type, which is always `thread.message`.
          type: string
          enum:
            - thread.message
          x-ms-enum:
            name: MessageObjectType
            modelAsString: true
            values:
              - value: thread.message
                description: The message object type which is `thread.message`
        created_at:
          description: The Unix timestamp (in seconds) for when the message was created.
          type: integer
        thread_id:
          description: The [thread](/docs/api-reference/threads) ID that this message belongs to.
          type: string
        status:
          description: The status of the message, which can be either `in_progress`, `incomplete`, or `completed`.
          type: string
          enum: ["in_progress", "incomplete", "completed"]
          x-ms-enum:
            name: MessageObjectStatus
            modelAsString: true
            values:
              - value: in_progress
              - value: incomplete
              - value: completed
        incomplete_details:
          description: On an incomplete message, details about why the message is incomplete.
          type: object
          properties:
            reason:
              type: string
              description: The reason the message is incomplete.
              enum:
                [
                  "content_filter",
                  "max_tokens",
                  "run_cancelled",
                  "run_expired",
                  "run_failed",
                ]
              x-ms-enum:
                name: MessageObjectIncompleteReason
                modelAsString: true
                values:
                  - value: content_filter
                  - value: max_tokens
                  - value: run_cancelled
                  - value: run_expired
                  - value: run_failed
          nullable: true
          required:
            - reason
        completed_at:
          description: The Unix timestamp (in seconds) for when the message was completed.
          type: integer
          nullable: true
        incomplete_at:
          description: The Unix timestamp (in seconds) for when the message was marked as incomplete.
          type: integer
          nullable: true
        role:
          description: The entity that produced the message. One of `user` or `assistant`.
          type: string
          enum:
            - user
            - assistant
          x-ms-enum:
            name: MessageObjectRole
            modelAsString: true
            values:
              - value: user
              - value: assistant
        content:
          description: The content of the message in array of text and/or images.
          type: array
          items:
            oneOf:
              - $ref: '#/components/schemas/messageContentImageFileObject'
              - $ref: '#/components/schemas/messageContentTextObject'
        assistant_id:
          description: If applicable, the ID of the assistant that authored this message.
          type: string
          nullable: true
        run_id:
          description: If applicable, the ID of the [run](/docs/api-reference/runs) associated with the authoring of this message.
          type: string
          nullable: true
        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 were added to.
          nullable: true
        metadata:
          description: *metadata_description
          type: object
          nullable: true
      required:
        - id
        - object
        - created_at
        - thread_id
        - status
        - incomplete_details
        - completed_at
        - incomplete_at
        - role
        - content
        - assistant_id
        - run_id
        - attachments
        - metadata

    messageDeltaObject:
      type: object
      title: Message delta object
      description: |
        Represents a message delta i.e. any changed fields on a message during streaming.
      properties:
        id:
          description: The identifier of the message, which can be referenced in API endpoints.
          type: string
        object:
          description: The object type, which is always `thread.message.delta`.
          type: string
          enum: ["thread.message.delta"]
          x-ms-enum:
            name: MessageDeltaObjectType
            modelAsString: true
            values:
              - value: thread.message.delta
        delta:
          description: The delta containing the fields that have changed on the Message.
          type: object
          properties:
            role:
              description: The entity that produced the message. One of `user` or `assistant`.
              type: string
              enum: ["user", "assistant"]
              x-ms-enum:
                name: MessageDeltaObjectDeltaRole
                modelAsString: true
                values:
                  - value: user
                  - value: assistant
            content:
              description: The content of the message in array of text and/or images.
              type: array
              items:
                oneOf:
                  - $ref: "#/components/schemas/messageDeltaContentImageFileObject"
                  - $ref: "#/components/schemas/messageDeltaContentTextObject"
      required:
        - id
        - object
        - delta

    createMessageRequest:
      type: object
      additionalProperties: false
      required:
        - role
        - content
      properties:
        role:
          type: string
          enum:
            - user
            - assistant
          x-ms-enum:
            name: CreateMessageRequestRole
            modelAsString: true
            values:
              - value: user
              - value: 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:
          type: string
          minLength: 1
          maxLength: 256000
          description: The content of the message.
        attachments:
          type: array
          items:
            type: object
            properties:
              file_id:
                type: string
                description: The ID of the file to attach to the message.
              tools:
                description: The tools to add this file to.
                type: array
                items:
                  oneOf:
                    - $ref: "#/components/schemas/assistantToolsCode"
                    - $ref: "#/components/schemas/assistantToolsFileSearchTypeOnly"
                  x-oaiExpandable: true
          description: A list of files attached to the message, and the tools they should be added to.
          required:
            - file_id
            - tools
          nullable: true
        metadata:
          description: *metadata_description
          type: object
          nullable: true
    modifyMessageRequest:
      type: object
      additionalProperties: false
      properties:
        metadata:
          description: *metadata_description
          type: object
          nullable: true
    deleteMessageResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
          enum:
            - thread.message.deleted
          x-ms-enum:
            name: DeleteMessageResponseObject
            modelAsString: true
            values:
              - value: thread.message.deleted
                description: The delete message response object state
      required:
        - id
        - object
        - deleted
    listMessagesResponse:
      properties:
        object:
          type: string
          example: list
        data:
          type: array
          items:
            $ref: '#/components/schemas/messageObject'
        first_id:
          type: string
          example: msg_hLBK7PXBv5Lr2NQT7KLY0ag1
        last_id:
          type: string
          example: msg_QLoItBbqwyAJEzlTy4y9kOMM
        has_more:
          type: boolean
          example: false
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more

    messageContentImageFileObject:
      title: Image file
      type: object
      description: References an image file in the content of a message.
      properties:
        type:
          description: Always `image_file`.
          type: string
          enum:
            - image_file
          x-ms-enum:
            name: MessageContentImageFileObjectType
            modelAsString: true
            values:
              - value: image_file
                description: The message content image file type
        image_file:
          type: object
          properties:
            file_id:
              description: The file ID of the image in the message content.
              type: string
          required:
            - file_id
      required:
        - type
        - image_file

    messageContentTextObject:
      title: Text
      type: object
      description: The text content that is part of a message.
      properties:
        type:
          description: Always `text`.
          type: string
          enum:
            - text
          x-ms-enum:
            name: messageContentTextObjectType
            modelAsString: true
            values:
              - value: text
                description: The message content text Object type
        text:
          type: object
          properties:
            value:
              description: The data that makes up the text.
              type: string
            annotations:
              type: array
              items:
                oneOf:
                  - $ref: '#/components/schemas/messageContentTextAnnotationsFileCitationObject'
                  - $ref: '#/components/schemas/messageContentTextAnnotationsFilePathObject'
          required:
            - value
            - annotations
      required:
        - type
        - text

    messageContentTextAnnotationsFileCitationObject:
      title: File citation
      type: object
      description: A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "retrieval" tool to search files.
      properties:
        type:
          description: Always `file_citation`.
          type: string
          enum:
            - file_citation
          x-ms-enum:
            name: FileCitationObjectType
            modelAsString: true
            values:
              - value: file_citation
                description: The file citation object type
        text:
          description: The text in the message content that needs to be replaced.
          type: string
        file_citation:
          type: object
          properties:
            file_id:
              description: The ID of the specific File the citation is from.
              type: string
          required:
            - file_id
        start_index:
          type: integer
          minimum: 0
        end_index:
          type: integer
          minimum: 0
      required:
        - type
        - text
        - file_citation
        - start_index
        - end_index

    messageContentTextAnnotationsFilePathObject:
      title: File path
      type: object
      description: A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file.
      properties:
        type:
          description: Always `file_path`.
          type: string
          enum:
            - file_path
          x-ms-enum:
            name: FilePathObjectType
            modelAsString: true
            values:
              - value: file_path
                description: The file path object type
        text:
          description: The text in the message content that needs to be replaced.
          type: string
        file_path:
          type: object
          properties:
            file_id:
              description: The ID of the file that was generated.
              type: string
          required:
            - file_id
        start_index:
          type: integer
          minimum: 0
        end_index:
          type: integer
          minimum: 0
      required:
        - type
        - text
        - file_path
        - start_index
        - end_index
    
    messageDeltaContentImageFileObject:
      title: Image file
      type: object
      description: References an image File in the content of a message.
      properties:
        index:
          type: integer
          description: The index of the content part in the message.
        type:
          description: Always `image_file`.
          type: string
          enum: ["image_file"]
          x-ms-enum:
            name: MessageDeltaContentImageFileObjectType
            modelAsString: true
            values:
              - value: image_file
        image_file:
          type: object
          properties:
            file_id:
              description: The File ID of the image in the message content.
              type: string
      required:
        - index
        - type

    messageDeltaContentTextObject:
      title: Text
      type: object
      description: The text content that is part of a message.
      properties:
        index:
          type: integer
          description: The index of the content part in the message.
        type:
          description: Always `text`.
          type: string
          enum: ["text"]
          x-ms-enum:
            name: MessageDeltaContentTextObjectType
            modelAsString: true
            values:
              - value: text
        text:
          type: object
          properties:
            value:
              description: The data that makes up the text.
              type: string
            annotations:
              type: array
              items:
                oneOf:
                  - $ref: "#/components/schemas/messageDeltaContentTextAnnotationsFileCitationObject"
                  - $ref: "#/components/schemas/messageDeltaContentTextAnnotationsFilePathObject"
      required:
        - index
        - type

    messageDeltaContentTextAnnotationsFileCitationObject:
      title: File citation
      type: object
      description: A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "file_search" tool to search files.
      properties:
        index:
          type: integer
          description: The index of the annotation in the text content part.
        type:
          description: Always `file_citation`.
          type: string
          enum: ["file_citation"]
          x-ms-enum:
            name: MessageDeltaContentTextAnnotationsFileCitationObjectType
            modelAsString: true
            values:
              - value: file_citation
        text:
          description: The text in the message content that needs to be replaced.
          type: string
        file_citation:
          type: object
          properties:
            file_id:
              description: The ID of the specific File the citation is from.
              type: string
            quote:
              description: The specific quote in the file.
              type: string
        start_index:
          type: integer
          minimum: 0
        end_index:
          type: integer
          minimum: 0
      required:
        - index
        - type
    
    messageDeltaContentTextAnnotationsFilePathObject:
      title: File path
      type: object
      description: A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file.
      properties:
        index:
          type: integer
          description: The index of the annotation in the text content part.
        type:
          description: Always `file_path`.
          type: string
          enum: ["file_path"]
          x-ms-enum:
            name: MessageDeltaContentTextAnnotationsFilePathObjectType
            modelAsString: true
            values:
              - value: file_path
        text:
          description: The text in the message content that needs to be replaced.
          type: string
        file_path:
          type: object
          properties:
            file_id:
              description: The ID of the file that was generated.
              type: string
        start_index:
          type: integer
          minimum: 0
        end_index:
          type: integer
          minimum: 0
      required:
        - index
        - type
    
    runStepObject:
      type: object
      title: Run steps
      description: |
        Represents a step in execution of a run.
      properties:
        id:
          description: The identifier of the run step, which can be referenced in API endpoints.
          type: string
        object:
          description: The object type, which is always `assistant.run.step``.
          type: string
          enum:
            - assistant.run.step
          x-ms-enum:
            name: RunStepObjectType
            modelAsString: true
            values:
              - value: assistant.run.step
                description: The object type, which is always `assistant.run.step`
        created_at:
          description: The Unix timestamp (in seconds) for when the run step was created.
          type: integer
        assistant_id:
          description: The ID of the assistant associated with the run step.
          type: string
        thread_id:
          description: The ID of the [thread](/docs/api-reference/threads) that was run.
          type: string
        run_id:
          description: The ID of the [run](/docs/api-reference/runs) that this run step is a part of.
          type: string
        type:
          description: The type of run step, which can be either `message_creation` or `tool_calls`.
          type: string
          enum:
            - message_creation
            - tool_calls
          x-ms-enum:
            name: RunStepObjectType
            modelAsString: true
            values:
              - value: message_creation
                description: The message_creation run step
              - value: tool_calls
                description: The tool_calls run step
        status:
          description: The status of the run, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`.
          type: string
          enum:
            - in_progress
            - cancelled
            - failed
            - completed
            - expired
          x-ms-enum:
            name: RunStepObjectStatus
            modelAsString: true
            values:
              - value: in_progress
                description: The in_progress run status
              - value: cancelled
                description: The cancelled run status
              - value: failed
                description: The cancelled run status
              - value: completed
                description: The cancelled run status
              - value: expired
                description: The cancelled run status
        step_details:
          type: object
          description: The details of the run step.
          oneOf:
            - $ref: '#/components/schemas/runStepDetailsMessageCreationObject'
            - $ref: '#/components/schemas/runStepDetailsToolCallsObject'
        last_error:
          type: object
          description: The last error associated with this run step. Will be `null` if there are no errors.
          nullable: true
          properties:
            code:
              type: string
              description: One of `server_error` or `rate_limit_exceeded`.
              enum:
                - server_error
                - rate_limit_exceeded
              x-ms-enum:
                name: LastErrorCode
                modelAsString: true
                values:
                  - value: server_error
                    description: The server_error
                  - value: rate_limit_exceeded
                    description: The rate_limit_exceeded status
            message:
              type: string
              description: A human-readable description of the error.
          required:
            - code
            - message
        expired_at:
          description: The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired.
          type: integer
          nullable: true
        cancelled_at:
          description: The Unix timestamp (in seconds) for when the run step was cancelled.
          type: integer
          nullable: true
        failed_at:
          description: The Unix timestamp (in seconds) for when the run step failed.
          type: integer
          nullable: true
        completed_at:
          description: The Unix timestamp (in seconds) for when the run step completed.
          type: integer
          nullable: true
        metadata:
          description: *metadata_description
          type: object
          nullable: true
      required:
        - id
        - object
        - created_at
        - assistant_id
        - thread_id
        - run_id
        - type
        - status
        - step_details
        - last_error
        - expired_at
        - cancelled_at
        - failed_at
        - completed_at
        - metadata

    runStepDeltaObject:
      type: object
      title: Run step delta object
      description: |
        Represents a run step delta i.e. any changed fields on a run step during streaming.
      properties:
        id:
          description: The identifier of the run step, which can be referenced in API endpoints.
          type: string
        object:
          description: The object type, which is always `thread.run.step.delta`.
          type: string
          enum: ["thread.run.step.delta"]
          x-ms-enum:
            name: RunStepDeltaObjectType
            modelAsString: true
            values:
              - value: thread.run.step.delta
        delta:
          description: The delta containing the fields that have changed on the run step.
          type: object
          properties:
            step_details:
              type: object
              description: The details of the run step.
              oneOf:
                - $ref: "#/components/schemas/runStepDeltaStepDetailsMessageCreationObject"
                - $ref: "#/components/schemas/runStepDeltaStepDetailsToolCallsObject"
      required:
        - id
        - object
        - delta

    listRunStepsResponse:
      properties:
        object:
          type: string
          example: list
        data:
          type: array
          items:
            $ref: '#/components/schemas/runStepObject'
        first_id:
          type: string
          example: step_hLBK7PXBv5Lr2NQT7KLY0ag1
        last_id:
          type: string
          example: step_QLoItBbqwyAJEzlTy4y9kOMM
        has_more:
          type: boolean
          example: false
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more

    runStepDetailsMessageCreationObject:
      title: Message creation
      type: object
      description: Details of the message creation by the run step.
      properties:
        type:
          description: Always `message_creation``.
          type: string
          enum:
            - message_creation
          x-ms-enum:
            name: RunStepDetailsMessageCreationObjectType
            modelAsString: true
            values:
              - value: message_creation
        message_creation:
          type: object
          properties:
            message_id:
              type: string
              description: The ID of the message that was created by this run step.
          required:
            - message_id
      required:
        - type
        - message_creation
    
    runStepDeltaStepDetailsMessageCreationObject:
      title: Message creation
      type: object
      description: Details of the message creation by the run step.
      properties:
        type:
          description: Always `message_creation`.
          type: string
          enum: ["message_creation"]
          x-ms-enum:
            name: RunStepDeltaStepDetailsMessageCreationObjectType
            modelAsString: true
            values:
              - value: message_creation
        message_creation:
          type: object
          properties:
            message_id:
              type: string
              description: The ID of the message that was created by this run step.
      required:
        - type

    runStepDetailsToolCallsObject:
      title: Tool calls
      type: object
      description: Details of the tool call.
      properties:
        type:
          description: Always `tool_calls`.
          type: string
          enum:
            - tool_calls
          x-ms-enum:
            name: RunStepDetailsToolCallsObjectType
            modelAsString: true
            values:
              - value: tool_calls
        tool_calls:
          type: array
          description: |
            An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `retrieval` or `function`.
          items:
            type: object
            oneOf:
              - $ref: '#/components/schemas/runStepDetailsToolCallsCodeObject'
              - $ref: '#/components/schemas/runStepDetailsToolCallsFileSearchObject'
              - $ref: '#/components/schemas/runStepDetailsToolCallsFunctionObject'
      required:
        - type
        - tool_calls
    
    runStepDeltaStepDetailsToolCallsObject:
      title: Tool calls
      type: object
      description: Details of the tool call.
      properties:
        type:
          description: Always `tool_calls`.
          type: string
          enum: ["tool_calls"]
          x-ms-enum:
            name: RunStepDeltaStepDetailsToolCallsObjectType
            modelAsString: true
            values:
              - value: tool_calls
        tool_calls:
          type: array
          description: |
            An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search` or `function`.
          items:
            oneOf:
              - $ref: "#/components/schemas/runStepDeltaStepDetailsToolCallsCodeObject"
              - $ref: "#/components/schemas/runStepDeltaStepDetailsToolCallsFileSearchObject"
              - $ref: "#/components/schemas/runStepDeltaStepDetailsToolCallsFunctionObject"
      required:
        - type

    runStepDetailsToolCallsCodeObject:
      title: Code interpreter tool call
      type: object
      description: Details of the Code Interpreter tool call the run step was involved in.
      properties:
        id:
          type: string
          description: The ID of the tool call.
        type:
          type: string
          description: The type of tool call. This is always going to be `code_interpreter` for this type of tool call.
          enum:
            - code_interpreter
          x-ms-enum:
            name: RunStepDetailsToolCallsCodeObjectType
            modelAsString: true
            values:
              - value: code_interpreter
        code_interpreter:
          type: object
          description: The Code Interpreter tool call definition.
          required:
            - input
            - outputs
          properties:
            input:
              type: string
              description: The input to the Code Interpreter tool call.
            outputs:
              type: array
              description: The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type.
              items:
                type: object
                oneOf:
                  - $ref: '#/components/schemas/runStepDetailsToolCallsCodeOutputLogsObject'
                  - $ref: '#/components/schemas/runStepDetailsToolCallsCodeOutputImageObject'
      required:
        - id
        - type
        - code_interpreter
    
    runStepDeltaStepDetailsToolCallsCodeObject:
      title: Code interpreter tool call
      type: object
      description: Details of the Code Interpreter tool call the run step was involved in.
      properties:
        index:
          type: integer
          description: The index of the tool call in the tool calls array.
        id:
          type: string
          description: The ID of the tool call.
        type:
          type: string
          description: The type of tool call. This is always going to be `code_interpreter` for this type of tool call.
          enum: ["code_interpreter"]
          x-ms-enum:
            name: RunStepDeltaStepDetailsToolCallsCodeObjectType
            modelAsString: true
            values:
              - value: code_interpreter
        code_interpreter:
          type: object
          description: The Code Interpreter tool call definition.
          properties:
            input:
              type: string
              description: The input to the Code Interpreter tool call.
            outputs:
              type: array
              description: The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type.
              items:
                type: object
                oneOf:
                  - $ref: "#/components/schemas/runStepDeltaStepDetailsToolCallsCodeOutputLogsObject"
                  - $ref: "#/components/schemas/runStepDeltaStepDetailsToolCallsCodeOutputImageObject"
      required:
        - index
        - type

    runStepDetailsToolCallsCodeOutputLogsObject:
      title: Code interpreter log output
      type: object
      description: Text output from the Code Interpreter tool call as part of a run step.
      properties:
        type:
          description: Always `logs`.
          type: string
          enum:
            - logs
          x-ms-enum:
            name: RunStepDetailsToolCallsCodeOutputLogsObjectType
            modelAsString: true
            values:
              - value: logs
        logs:
          type: string
          description: The text output from the Code Interpreter tool call.
      required:
        - type
        - logs
    
    runStepDeltaStepDetailsToolCallsCodeOutputLogsObject:
      title: Code interpreter log output
      type: object
      description: Text output from the Code Interpreter tool call as part of a run step.
      properties:
        index:
          type: integer
          description: The index of the output in the outputs array.
        type:
          description: Always `logs`.
          type: string
          enum: ["logs"]
          x-ms-enum:
            name: RunStepDeltaStepDetailsToolCallsCodeOutputLogsObjectType
            modelAsString: true
            values:
              - value: logs
        logs:
          type: string
          description: The text output from the Code Interpreter tool call.
      required:
        - index
        - type

    runStepDetailsToolCallsCodeOutputImageObject:
      title: Code interpreter image output
      type: object
      properties:
        type:
          description: Always `image`.
          type: string
          enum:
            - image
          x-ms-enum:
            name: RunStepDetailsToolCallsCodeOutputImageObjectType
            modelAsString: true
            values:
              - value: image
        image:
          type: object
          properties:
            file_id:
              description: The file ID of the image.
              type: string
          required:
            - file_id
      required:
        - type
        - image
    
    runStepDeltaStepDetailsToolCallsCodeOutputImageObject:
      title: Code interpreter image output
      type: object
      properties:
        index:
          type: integer
          description: The index of the output in the outputs array.
        type:
          description: Always `image`.
          type: string
          enum: ["image"]
          x-ms-enum:
            name: RunStepDeltaStepDetailsToolCallsCodeOutputImageObject
            modelAsString: true
            values:
              - value: image
        image:
          type: object
          properties:
            file_id:
              description: The file ID of the image.
              type: string
      required:
        - index
        - type
    
    runStepDetailsToolCallsFileSearchObject:
      title: File search tool call
      type: object
      properties:
        id:
          type: string
          description: The ID of the tool call object.
        type:
          type: string
          description: The type of tool call. This is always going to be `file_search` for this type of tool call.
          enum: ["file_search"]
          x-ms-enum:
            name: RunStepDetailsToolCallsFileSearchObjectType
            modelAsString: true
            values:
              - value: file_search
        file_search:
          type: object
          description: For now, this is always going to be an empty object.
      required:
        - id
        - type
        - file_search

    runStepDeltaStepDetailsToolCallsFileSearchObject:
      title: File search tool call
      type: object
      properties:
        index:
          type: integer
          description: The index of the tool call in the tool calls array.
        id:
          type: string
          description: The ID of the tool call object.
        type:
          type: string
          description: The type of tool call. This is always going to be `retrieval` for this type of tool call.
          enum:
            - file_search
          x-ms-enum:
            name: RunStepDeltaStepDetailsToolCallsFileSearchObjectType
            modelAsString: true
            values:
              - value: file_search
        file_search:
          type: object
          description: For now, this is always going to be an empty object.
      required:
        - index
        - type
        - file_search

    runStepDetailsToolCallsFunctionObject:
      type: object
      title: Function tool call
      properties:
        id:
          type: string
          description: The ID of the tool call object.
        type:
          type: string
          description: The type of tool call. This is always going to be `function` for this type of tool call.
          enum:
            - function
          x-ms-enum:
            name: RunStepDetailsToolCallsFunctionObjectType
            modelAsString: true
            values:
              - value: function
        function:
          type: object
          description: The definition of the function that was called.
          properties:
            name:
              type: string
              description: The name of the function.
            arguments:
              type: string
              description: The arguments passed to the function.
            output:
              type: string
              description: The output of the function. This will be `null` if the outputs have not been [submitted](/docs/api-reference/runs/submitToolOutputs) yet.
              nullable: true
          required:
            - name
            - arguments
            - output
      required:
        - id
        - type
        - function
    
    runStepDeltaStepDetailsToolCallsFunctionObject:
      type: object
      title: Function tool call
      properties:
        index:
          type: integer
          description: The index of the tool call in the tool calls array.
        id:
          type: string
          description: The ID of the tool call object.
        type:
          type: string
          description: The type of tool call. This is always going to be `function` for this type of tool call.
          enum: ["function"]
          x-ms-enum:
            name: RunStepDetailsToolCallsFunctionObjectType
            modelAsString: true
            values:
              - value: function
        function:
          type: object
          description: The definition of the function that was called.
          properties:
            name:
              type: string
              description: The name of the function.
            arguments:
              type: string
              description: The arguments passed to the function.
            output:
              type: string
              description: The output of the function. This will be `null` if the outputs have not been submitted yet.
              nullable: true
      required:
        - index
        - type

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

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

    createVectorStoreRequest:
      type: object
      additionalProperties: false
      properties:
        file_ids:
          description: A list of file 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:
          description: *metadata_description
          type: object
          nullable: true
        
    
    updateVectorStoreRequest:
      type: object
      additionalProperties: false
      properties:
        name:
          description: The name of the vector store.
          type: string
          nullable: true
        expires_after:
          $ref: "#/components/schemas/vectorStoreExpirationAfter"
          nullable: true
        metadata:
          description: *metadata_description
          type: object
          nullable: true
    
    listVectorStoresResponse:
      properties:
        object:
          type: string
          example: "list"
        data:
          type: array
          items:
            $ref: "#/components/schemas/vectorStoreObject"
        first_id:
          type: string
          example: "vs_abc123"
        last_id:
          type: string
          example: "vs_abc456"
        has_more:
          type: boolean
          example: false
      required:
        - object
        - data
        - first_id
        - last_id
        - has_more

    deleteVectorStoreResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
          enum: [vector_store.deleted]
          x-ms-enum:
            name: DeleteVectorStoreResponseObject
            modelAsString: true
            values:
              - value: vector_store.deleted
                description: The delete vector store response object state
      required:
        - id
        - object
        - deleted
   
    vectorStoreFileObject:
      type: object
      title: Vector store files
      description: A list of files attached to a vector store.
      properties:
        id:
          description: The identifier, which can be referenced in API endpoints.
          type: string
        object:
          description: The object type, which is always `vector_store.file`.
          type: string
          enum: ["vector_store.file"]
          x-ms-enum: 
            name: VectorStoreFileObjectType
            modelAsString: true
            values:
              - value: vector_store.file
        usage_bytes:
          description: The total vector store usage in bytes. Note that this may be different from the original file size.
          type: integer
        created_at:
          description: The Unix timestamp (in seconds) for when the vector store file was created.
          type: integer
        vector_store_id:
          description: The ID of the vector store that the file is attached to.
          type: string
        status:
          description: The status of the vector store file, which can be either `in_progress`, `completed`, `cancelled`, or `failed`. The status `completed` indicates that the vector store file is ready for use.
          type: string
          enum: ["in_progress", "completed", "cancelled", "failed"]
          x-ms-enum:
            name: VectorStoreFileObjectStatus
            modelAsString: true
            values:
              - value: in_progress
              - value: completed
              - value: cancelled
              - value: failed
        last_error:
          type: object
          description: The last error associated with this vector store file. Will be `null` if there are no errors.
          nullable: true
          properties:
            code:
              type: string
              description: One of `server_error` or `rate_limit_exceeded`.
              enum:
                [
                  "internal_error",
                  "file_not_found",
                  "parsing_error",
                  "unhandled_mime_type",
                ]
              x-ms-enum:
                name: VectorStoreFileObjectLastErrorCode
                modelAsString: true
                values:
                  - value: internal_error
                  - value: file_not_found
                  - value: parsing_error
                  - value: unhandled_mime_type
            message:
              type: string
              description: A human-readable description of the error.
          required:
            - code
            - message
        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'
      required:
        - id
        - object
        - usage_bytes
        - created_at
        - vector_store_id
        - status
        - last_error

    otherChunkingStrategyResponseParam:
      type: object
      title: Other Chunking Strategy
      description: |
        This is returned when the chunking strategy is unknown. Typically, this is
        because the file was indexed before the `chunking_strategy` concept was
        introduced in the API.
      additionalProperties: false
      properties:
        type:
          type: string
          description: Always `other`.
          enum:
            - other
          x-ms-enum:
            name: OtherChunkingStrategyResponseParamType
            modelAsString: true
            values:
              - value: other
      required:
        - type

    staticChunkingStrategyResponseParam:
      type: object
      title: Static Chunking Strategy
      additionalProperties: false
      properties:
        type:
          type: string
          description: Always `static`.
          enum:
            - static
          x-ms-enum:
            name: StaticChunkingStrategyResponseParamType
            modelAsString: true
            values:
              - value: static
        static:
          $ref: '#/components/schemas/staticChunkingStrategy'
      required:
        - type
        - static

    staticChunkingStrategy:
      type: object
      additionalProperties: false
      properties:
        max_chunk_size_tokens:
          type: integer
          minimum: 100
          maximum: 4096
          description: |
            The maximum number of tokens in each chunk. The default value is `800`.
            The minimum value is `100` and the maximum value is `4096`.
        chunk_overlap_tokens:
          type: integer
          description: >
            The number of tokens that overlap between chunks. The default value is
            `400`.
            Note that the overlap must not exceed half of `max_chunk_size_tokens`.
      required:
        - max_chunk_size_tokens
        - chunk_overlap_tokens

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

    staticChunkingStrategyRequestParam:
      type: object
      title: Static Chunking Strategy
      additionalProperties: false
      properties:
        type:
          type: string
          description: Always `static`.
          enum:
            - static
        static:
          $ref: '#/components/schemas/staticChunkingStrategy'
      required:
        - type
        - static

    chunkingStrategyRequestParam:
      type: object
      description: >-
        The chunking strategy used to chunk the file(s). If not set, will use the
        `auto` strategy.
      oneOf:
        - $ref: '#/components/schemas/autoChunkingStrategyRequestParam'
        - $ref: '#/components/schemas/staticChunkingStrategyRequestParam'

    createVectorStoreFileRequest:
      type: object
      additionalProperties: false
      properties:
        file_id:
          description: A File ID that the vector store should use. Useful for tools like `file_search` that can access files.
          type: string
        chunking_strategy:
          $ref: "#/components/schemas/chunkingStrategyRequestParam"
      required:
        - file_id

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

    deleteVectorStoreFileResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
          enum: [vector_store.file.deleted]
          x-ms-enum:
            name: DeleteVectorStoreFileResponseObject
            modelAsString: true
            values:
              - value: vector_store.file.deleted
      required:
        - id
        - object
        - deleted

    vectorStoreFileBatchObject:
      type: object
      title: Vector store file batch
      description: A batch of files attached to a vector store.
      properties:
        id:
          description: The identifier, which can be referenced in API endpoints.
          type: string
        object:
          description: The object type, which is always `vector_store.file_batch`.
          type: string
          enum: ["vector_store.files_batch"]
          x-ms-enum:
            name: VectorStoreFileBatchObjectType
            modelAsString: true
            values:
              - value: vector_store.files_batch
        created_at:
          description: The Unix timestamp (in seconds) for when the vector store files batch was created.
          type: integer
        vector_store_id:
          description: The ID of the vector store that the File is attached to.
          type: string
        status:
          description: The status of the vector store files batch, which can be either `in_progress`, `completed`, `cancelled` or `failed`.
          type: string
          enum: ["in_progress", "completed", "cancelled", "failed"]
          x-ms-enum:
            name: VectorStoreFileBatchObjectStatus
            modelAsString: true
            values:
              - value: in_progress
              - value: completed
              - value: cancelled
              - value: failed
        file_counts:
          type: object
          properties:
            in_progress:
              description: The number of files that are currently being processed.
              type: integer
            completed:
              description: The number of files that have been processed.
              type: integer
            failed:
              description: The number of files that have failed to process.
              type: integer
            cancelled:
              description: The number of files that where cancelled.
              type: integer
            total:
              description: The total number of files.
              type: integer
          required:
            - in_progress
            - completed
            - cancelled
            - failed
            - total
      required:
        - id
        - object
        - created_at
        - vector_store_id
        - status
        - file_counts

    createVectorStoreFileBatchRequest:
      type: object
      additionalProperties: false
      properties:
        file_ids:
          description: A list of File IDs that the vector store should use. Useful for tools like `file_search` that can access files.
          type: array
          minItems: 1
          maxItems: 500
          items:
            type: string
        chunking_strategy:
          $ref: "#/components/schemas/chunkingStrategyRequestParam"
      required:
        - file_ids

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

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

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

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

        We may add additional events over time, so we recommend handling unknown events gracefully
        in your code. See the [Assistants API quickstart](/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"

    threadStreamEvent:
      oneOf:
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.created"]
              x-ms-enum:
                name: ThreadStreamEventEnum
                modelAsString: true
                values:
                  - value: thread.created
                    description: The thread created event
            data:
              $ref: "#/components/schemas/threadObject"
          required:
            - event
            - data
          description: Occurs when a new thread is created.

    runStreamEvent:
      oneOf:
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.created"]
              x-ms-enum:
                name: RunStreamEventCreated
                modelAsString: true
                values:
                  - value: thread.run.created
            data:
              $ref: "#/components/schemas/runObject"
          required:
            - event
            - data
          description: Occurs when a new run is created.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.queued"]
              x-ms-enum:
                name: RunStreamEventQueued
                modelAsString: true
                values:
                  - value: thread.run.queued
            data:
              $ref: "#/components/schemas/runObject"
          required:
            - event
            - data
          description: Occurs when a run moves to a `queued` status.          
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.in_progress"]
              x-ms-enum:
                name: RunStreamEventInProgress
                modelAsString: true
                values:
                  - value: thread.run.in_progress
            data:
              $ref: "#/components/schemas/runObject"
          required:
            - event
            - data
          description: Occurs when a run moves to an `in_progress` status.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.requires_action"]
              x-ms-enum:
                name: RunStreamEventRequiresAction
                modelAsString: true
                values:
                  - value: thread.run.requires_action
            data:
              $ref: "#/components/schemas/runObject"
          required:
            - event
            - data
          description: Occurs when a run moves to a `requires_action` status.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.completed"]
              x-ms-enum:
                name: RunStreamEventCompleted
                modelAsString: true
                values:
                  - value: thread.run.completed
            data:
              $ref: "#/components/schemas/runObject"
          required:
            - event
            - data
          description: Occurs when a run is completed.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.failed"]
              x-ms-enum:
                name: RunStreamEventFailed
                modelAsString: true
                values:
                  - value: thread.run.failed
            data:
              $ref: "#/components/schemas/runObject"
          required:
            - event
            - data
          description: Occurs when a run fails.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.cancelling"]
              x-ms-enum:
                name: RunStreamEventCancelling
                modelAsString: true
                values:
                  - value: thread.run.cancelling
            data:
              $ref: "#/components/schemas/runObject"
          required:
            - event
            - data
          description: Occurs when a run moves to a `cancelling` status.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.cancelled"]
              x-ms-enum:
                name: RunStreamEventCancelled
                modelAsString: true
                values:
                  - value: thread.run.cancelled
            data:
              $ref: "#/components/schemas/runObject"
          required:
            - event
            - data
          description: Occurs when a run is cancelled.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.expired"]
              x-ms-enum:
                name: RunStreamEventExpired
                modelAsString: true
                values:
                  - value: thread.run.expired
            data:
              $ref: "#/components/schemas/runObject"
          required:
            - event
            - data
          description: Occurs when a run expires.
          
    runStepStreamEvent:
      oneOf:
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.step.created"]
              x-ms-enum:
                name: RunStepStreamEventCreated
                modelAsString: true
                values:
                  - value: thread.run.step.created
            data:
              $ref: "#/components/schemas/runStepObject"
          required:
            - event
            - data
          description: Occurs when a run step is created.
          
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.step.in_progress"]
              x-ms-enum:
                name: RunStepStreamEventInProgress
                modelAsString: true
                values:
                  - value: thread.run.step.in_progress
            data:
              $ref: "#/components/schemas/runStepObject"
          required:
            - event
            - data
          description: Occurs when a run step moves to an `in_progress` state.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.step.delta"]
              x-ms-enum:
                name: RunStepStreamEventDelta
                modelAsString: true
                values:
                  - value: thread.run.step.delta
            data:
              $ref: "#/components/schemas/runStepDeltaObject"
          required:
            - event
            - data
          description: Occurs when parts of a run step are being streamed.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.step.completed"]
              x-ms-enum:
                name: RunStepStreamEventCompleted
                modelAsString: true
                values:
                  - value: thread.run.step.completed
            data:
              $ref: "#/components/schemas/runStepObject"
          required:
            - event
            - data
          description: Occurs when a run step is completed.      
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.step.failed"]
              x-ms-enum:
                name: RunStepStreamEventFailed
                modelAsString: true
                values:
                  - value: thread.run.step.failed
            data:
              $ref: "#/components/schemas/runStepObject"
          required:
            - event
            - data
          description: Occurs when a run step fails.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.step.cancelled"]
              x-ms-enum:
                name: RunStepStreamEventCancelled
                modelAsString: true
                values:
                  - value: thread.run.step.cancelled
            data:
              $ref: "#/components/schemas/runStepObject"
          required:
            - event
            - data
          description: Occurs when a run step is cancelled.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.run.step.expired"]
              x-ms-enum:
                name: RunStepStreamEventExpired
                modelAsString: true
                values:
                  - value: thread.run.step.expired
            data:
              $ref: "#/components/schemas/runStepObject"
          required:
            - event
            - data
          description: Occurs when a run step expires.
          
    messageStreamEvent:
      oneOf:
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.message.created"]
              x-ms-enum:
                name: MessageStreamEventCreated
                modelAsString: true
                values:
                  - value: thread.message.created
            data:
              $ref: "#/components/schemas/messageObject"
          required:
            - event
            - data
          description: Occurs when a message is created.       
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.message.in_progress"]
              x-ms-enum:
                name: MessageStreamEventInProgress
                modelAsString: true
                values:
                  - value: thread.message.in_progress
            data:
              $ref: "#/components/schemas/messageObject"
          required:
            - event
            - data
          description: Occurs when a message moves to an `in_progress` state.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.message.delta"]
              x-ms-enum:
                name: MessageStreamEventDelta
                modelAsString: true
                values:
                  - value: thread.message.delta
            data:
              $ref: "#/components/schemas/messageDeltaObject"
          required:
            - event
            - data
          description: Occurs when parts of a message are being streamed.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.message.completed"]
              x-ms-enum:
                name: MessageStreamEventCompleted
                modelAsString: true
                values:
                  - value: thread.message.completed
            data:
              $ref: "#/components/schemas/messageObject"
          required:
            - event
            - data
          description: Occurs when a message is completed.
        - type: object
          properties:
            event:
              type: string
              enum: ["thread.message.incomplete"]
              x-ms-enum:
                name: MessageStreamEventIncomplete
                modelAsString: true
                values:
                  - value: thread.message.incomplete
            data:
              $ref: "#/components/schemas/messageObject"
          required:
            - event
            - data
          description: Occurs when a message ends before it is completed.

    errorEvent:
      type: object
      properties:
        event:
          type: string
          enum: ["error"]
          x-ms-enum:
            name: ErrorEventEnum
            modelAsString: true
            values:
              - value: error
        data:
          $ref: "#/components/schemas/error"
      required:
        - event
        - data
      description: Occurs when an error occurs. This can happen due to an internal server error or a timeout.
      
    doneEvent:
      type: object
      properties:
        event:
          type: string
          enum: ["done"]
          x-ms-enum:
            name: DoneEventEnum
            modelAsString: true
            values:
              - value: done
        data:
          type: string
          enum: ["[DONE]"]
          x-ms-enum:
            name: DoneEventDataEnum
            modelAsString: true
            values:
              - value: "[DONE]"
      required:
        - event
        - data
      description: Occurs when a stream ends.
  securitySchemes:
    bearer:
      type: oauth2
      flows:
        implicit:
          authorizationUrl: https://login.microsoftonline.com/common/oauth2/v2.0/authorize
          scopes: {}
      x-tokenInfoFunc: api.middleware.auth.bearer_auth
      x-scopeValidateFunc: api.middleware.auth.validate_scopes
    apiKey:
      type: apiKey
      name: api-key
      in: header
