inference.json

{
  "openapi": "3.0.0",
  "info": {
    "title": "Azure OpenAI Service API",
    "description": "Azure OpenAI APIs for completions and search",
    "version": "2024-05-01-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": "2024-05-01-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.\nNote 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.\nWe 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.\nWe 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.\nNote: 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.\nMinimum 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": "\n",
                        "nullable": true
                      },
                      {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "example": "\n",
                          "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.\nWhen 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.\nNote: 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.\n\n 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": {
                  "$ref": "#/components/schemas/errorResponse"
                }
              }
            },
            "headers": {
              "apim-request-id": {
                "description": "Request ID for troubleshooting purposes",
                "schema": {
                  "type": "string"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "Create a completion.": {
            "$ref": "./examples/completions.json"
          }
        }
      }
    },
    "/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": "2024-05-01-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.\nUnless 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": "float",
                    "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.": {
            "$ref": "./examples/embeddings.json"
          }
        }
      }
    },
    "/deployments/{deployment-id}/chat/completions": {
      "post": {
        "summary": "Creates a completion for the chat message",
        "operationId": "ChatCompletions_Create",
        "parameters": [
          {
            "in": "path",
            "name": "deployment-id",
            "required": true,
            "schema": {
              "type": "string",
              "description": "Deployment id of the model which was deployed."
            }
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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.": {
            "$ref": "./examples/chat_completions.json"
          },
          "Creates a completion based on Azure Search data and system-assigned managed identity.": {
            "$ref": "./examples/chat_completions_azure_search_minimum.json"
          },
          "Creates a completion based on Azure Search image vector data.": {
            "$ref": "./examples/chat_completions_azure_search_image_vector.json"
          },
          "Creates a completion based on Azure Search vector data, previous assistant message and user-assigned managed identity.": {
            "$ref": "./examples/chat_completions_azure_search_advanced.json"
          },
          "Creates a completion for the provided AML index.": {
            "$ref": "./examples/chat_completions_aml_index.json"
          },
          "Creates a completion for the provided Azure Cosmos DB.": {
            "$ref": "./examples/chat_completions_cosmos_db.json"
          },
          "Creates a completion for the provided Elasticsearch.": {
            "$ref": "./examples/chat_completions_elasticsearch.json"
          },
          "Creates a completion for the provided Pinecone resource.": {
            "$ref": "./examples/chat_completions_pinecone.json"
          }
        }
      }
    },
    "/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": "2024-05-01-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.json"
          },
          "Create an audio transcription with text response format.": {
            "$ref": "./examples/audio_transcription_text.json"
          }
        }
      }
    },
    "/deployments/{deployment-id}/audio/translations": {
      "post": {
        "summary": "Transcribes and translates input audio into English text.",
        "operationId": "Translations_Create",
        "parameters": [
          {
            "in": "path",
            "name": "deployment-id",
            "required": true,
            "schema": {
              "type": "string",
              "example": "whisper",
              "description": "Deployment id of the whisper model which was deployed."
            }
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "requestBody": {
          "required": true,
          "content": {
            "multipart/form-data": {
              "schema": {
                "$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.": {
            "$ref": "./examples/audio_translation_object.json"
          },
          "Create an audio translation with text response format.": {
            "$ref": "./examples/audio_translation_text.json"
          }
        }
      }
    },
    "/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": "2024-05-01-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.json"
          }
        }
      }
    },
    "/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": {
                "$ref": "#/components/schemas/imageGenerationsRequest"
              }
            }
          }
        },
        "parameters": [
          {
            "in": "path",
            "name": "deployment-id",
            "required": true,
            "schema": {
              "type": "string",
              "example": "dalle-deployment",
              "description": "Deployment id of the dalle model which was deployed."
            }
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "Ok",
            "content": {
              "application/json": {
                "schema": {
                  "$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.json"
          }
        }
      }
    },
    "/assistants": {
      "get": {
        "operationId": "List_Assistants",
        "tags": [
          "Assistants"
        ],
        "summary": "Returns a list of assistants.",
        "parameters": [
          {
            "name": "limit",
            "in": "query",
            "description": "A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.\n",
            "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.\n",
            "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": "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.\n",
            "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.\n",
            "schema": {
              "type": "string"
            }
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/listAssistantsResponse"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "List all assistants.": {
            "$ref": "./examples/list_assistants.json"
          }
        }
      },
      "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": "2024-05-01-preview",
              "description": "api version"
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          }
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/createAssistantRequest"
              }
            }
          }
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/assistantObject"
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              }
            }
          }
        },
        "x-ms-examples": {
          "Create an assistant.": {
            "$ref": "./examples/create_assistant.json"
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        }
      }
    },
    "/assistants/{assistant_id}": {
      "get": {
        "operationId": "Get_Assistant",
        "tags": [
          "Assistants"
        ],
        "summary": "Retrieves an assistant.",
        "parameters": [
          {
            "in": "path",
            "name": "assistant_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the assistant to retrieve."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/assistantObject"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "Retrieves an assistant.": {
            "$ref": "./examples/retrieve_assistant.json"
          }
        }
      },
      "post": {
        "operationId": "Modify_Assistant",
        "tags": [
          "Assistant"
        ],
        "summary": "Modifies an assistant.",
        "parameters": [
          {
            "in": "path",
            "name": "assistant_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the assistant to modify."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/modifyAssistantRequest"
              }
            }
          }
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/assistantObject"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "Modifies an assistant.": {
            "$ref": "./examples/modify_assistant.json"
          }
        }
      },
      "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": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/deleteAssistantResponse"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "Delete an assistant.": {
            "$ref": "./examples/delete_assistant.json"
          }
        }
      }
    },
    "/threads": {
      "post": {
        "operationId": "Create_Thread",
        "tags": [
          "Assistants"
        ],
        "summary": "Create a thread.",
        "parameters": [
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-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.": {
            "$ref": "./examples/create_thread.json"
          }
        }
      }
    },
    "/threads/{thread_id}": {
      "get": {
        "operationId": "Get_Thread",
        "tags": [
          "Assistants"
        ],
        "summary": "Retrieves a thread.",
        "parameters": [
          {
            "in": "path",
            "name": "thread_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the thread to retrieve."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/threadObject"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "Retrieve a thread.": {
            "$ref": "./examples/retrieve_thread.json"
          }
        }
      },
      "post": {
        "operationId": "Modify_Thread",
        "tags": [
          "Assistants"
        ],
        "summary": "Modifies a thread.",
        "parameters": [
          {
            "in": "path",
            "name": "thread_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the thread to modify. Only the `metadata` can be modified."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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.json"
          }
        }
      },
      "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": "2024-05-01-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.json"
          }
        }
      }
    },
    "/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": "A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.\n",
            "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.\n",
            "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.\n",
            "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.\n",
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "run_id",
            "in": "query",
            "description": "Filter messages by the run ID that generated them.\n",
            "schema": {
              "type": "string"
            }
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/listMessagesResponse"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "List all messages.": {
            "$ref": "./examples/list_messages.json"
          }
        }
      },
      "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": "2024-05-01-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.": {
            "$ref": "./examples/create_message.json"
          }
        }
      }
    },
    "/threads/{thread_id}/messages/{message_id}": {
      "get": {
        "operationId": "Get_Message",
        "tags": [
          "Assistants"
        ],
        "summary": "Retrieve a message.",
        "parameters": [
          {
            "in": "path",
            "name": "thread_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the [thread](/docs/api-reference/threads) to which this message belongs."
          },
          {
            "in": "path",
            "name": "message_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the message to retrieve."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/messageObject"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "Retrieve a message.": {
            "$ref": "./examples/get_message.json"
          }
        }
      },
      "post": {
        "operationId": "Modify_Message",
        "tags": [
          "Assistants"
        ],
        "summary": "Modifies a message.",
        "parameters": [
          {
            "in": "path",
            "name": "thread_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the thread to which this message belongs."
          },
          {
            "in": "path",
            "name": "message_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the message to modify."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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.json"
          }
        }
      }
    },
    "/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": "2024-05-01-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.json"
          }
        }
      }
    },
    "/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": "A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.\n",
            "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.\n",
            "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": "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.\n",
            "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.\n",
            "schema": {
              "type": "string"
            }
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/listRunsResponse"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "List all runs.": {
            "$ref": "./examples/list_runs.json"
          }
        }
      },
      "post": {
        "operationId": "Create_Run",
        "tags": [
          "Assistants"
        ],
        "summary": "Create a run.",
        "parameters": [
          {
            "in": "path",
            "name": "thread_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the thread to run."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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.json"
          }
        }
      }
    },
    "/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": "2024-05-01-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.json"
          }
        }
      },
      "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": "2024-05-01-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.": {
            "$ref": "./examples/modify_run.json"
          }
        }
      }
    },
    "/threads/{thread_id}/runs/{run_id}/submit_tool_outputs": {
      "post": {
        "operationId": "Submit_Tool_Outputs_To_Run",
        "tags": [
          "Assistants"
        ],
        "summary": "When a run has the `status: \"requires_action\"` and `required_action.type` is `submit_tool_outputs`, this endpoint can be used to submit the outputs from the tool calls once they're all completed. All outputs must be submitted in a single request.\n",
        "parameters": [
          {
            "in": "path",
            "name": "thread_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the [thread](/docs/api-reference/threads) to which this run belongs."
          },
          {
            "in": "path",
            "name": "run_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the run that requires the tool output submission."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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.json"
          }
        }
      }
    },
    "/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": "2024-05-01-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.json"
          }
        }
      }
    },
    "/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": "A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.\n",
            "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.\n",
            "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": "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.\n",
            "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.\n",
            "schema": {
              "type": "string"
            }
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview",
              "description": "api version"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/listRunStepsResponse"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "List all run steps.": {
            "$ref": "./examples/list_run_steps.json"
          }
        }
      }
    },
    "/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": "2024-05-01-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.json"
          }
        }
      }
    },
    "/vector_stores": {
      "get": {
        "operationId": "List_Vector_Stores",
        "tags": [
          "Vector Stores"
        ],
        "summary": "Returns a list of vector stores.",
        "parameters": [
          {
            "name": "limit",
            "in": "query",
            "description": "A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.\n",
            "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.\n",
            "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": "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.\n",
            "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.\n",
            "schema": {
              "type": "string"
            }
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview"
            },
            "description": "api version"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/listVectorStoresResponse"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "List all vector stores.": {
            "$ref": "./examples/list_vector_stores.json"
          }
        }
      },
      "post": {
        "operationId": "Create_Vector_Store",
        "tags": [
          "Vector Stores"
        ],
        "summary": "Create a vector store.",
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/createVectorStoreRequest"
              }
            }
          }
        },
        "parameters": [
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview"
            },
            "description": "api version"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/vectorStoreObject"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "Create a vector store.": {
            "$ref": "./examples/create_vector_store.json"
          }
        }
      }
    },
    "/vector_stores/{vector_store_id}": {
      "get": {
        "operationId": "Get_Vector_Store",
        "tags": [
          "Vector Stores"
        ],
        "summary": "Retrieves a vector store.",
        "parameters": [
          {
            "in": "path",
            "name": "vector_store_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the vector store to retrieve."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview"
            },
            "description": "api version"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/vectorStoreObject"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "Retrieve a vector store.": {
            "$ref": "./examples/retrieve_vector_store.json"
          }
        }
      },
      "post": {
        "operationId": "Modify_Vector_Store",
        "tags": [
          "Vector Stores"
        ],
        "summary": "Modifies a vector store.",
        "parameters": [
          {
            "in": "path",
            "name": "vector_store_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the vector store to modify."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview"
            },
            "description": "api version"
          }
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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.json"
          }
        }
      },
      "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": "2024-05-01-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.json"
          }
        }
      }
    },
    "/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": "A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.\n",
            "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.\n",
            "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": "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.\n",
            "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.\n",
            "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": "2024-05-01-preview"
            },
            "description": "api version"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/listVectorStoreFilesResponse"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "List all vector store files.": {
            "$ref": "./examples/list_vector_store_files.json"
          }
        }
      },
      "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.\n"
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-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.": {
            "$ref": "./examples/create_vector_store_file.json"
          }
        }
      }
    },
    "/vector_stores/{vector_store_id}/files/{file_id}": {
      "get": {
        "operationId": "Get_Vector_Store_File",
        "tags": [
          "Vector Stores"
        ],
        "summary": "Retrieves a vector store file.",
        "parameters": [
          {
            "in": "path",
            "name": "vector_store_id",
            "required": true,
            "schema": {
              "type": "string",
              "example": "vs_abc123"
            },
            "description": "The ID of the vector store that the file belongs to."
          },
          {
            "in": "path",
            "name": "file_id",
            "required": true,
            "schema": {
              "type": "string",
              "example": "file-abc123"
            },
            "description": "The ID of the file being retrieved."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview"
            },
            "description": "api version"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/vectorStoreFileObject"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "Retrieve a vector store file.": {
            "$ref": "./examples/retrieve_vector_store_file.json"
          }
        }
      },
      "delete": {
        "operationId": "Delete_Vector_Store_File",
        "tags": [
          "Vector Stores"
        ],
        "summary": "Delete a vector store file. This will remove the file from the vector store but the file itself will not be deleted. To delete the file, use the [delete file](/docs/api-reference/files/delete) endpoint.",
        "parameters": [
          {
            "in": "path",
            "name": "vector_store_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the vector store that the file belongs to."
          },
          {
            "in": "path",
            "name": "file_id",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "The ID of the file to delete."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview"
            },
            "description": "api version"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/deleteVectorStoreFileResponse"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "Delete a vector store file.": {
            "$ref": "./examples/delete_vector_store_file.json"
          }
        }
      }
    },
    "/vector_stores/{vector_store_id}/file_batches": {
      "post": {
        "operationId": "Create_Vector_Store_File_Batch",
        "tags": [
          "Vector Stores"
        ],
        "summary": "Create a vector store file batch.",
        "parameters": [
          {
            "in": "path",
            "name": "vector_store_id",
            "required": true,
            "schema": {
              "type": "string",
              "example": "vs_abc123"
            },
            "description": "The ID of the vector store for which to create a File Batch.\n"
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-preview"
            },
            "description": "api version"
          }
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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.json"
          }
        }
      }
    },
    "/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": "vs_b_abc123"
            },
            "description": "The ID of the file batch being retrieved."
          },
          {
            "in": "query",
            "name": "api-version",
            "required": true,
            "schema": {
              "type": "string",
              "example": "2024-05-01-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.json"
          }
        }
      }
    },
    "/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": "2024-05-01-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.json"
          }
        }
      }
    },
    "/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": "A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.\n",
            "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.\n",
            "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": "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.\n",
            "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.\n",
            "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": "2024-05-01-preview"
            },
            "description": "api version"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/listVectorStoreFilesResponse"
                }
              }
            }
          }
        },
        "x-ms-examples": {
          "List all vector store files in a batch.": {
            "$ref": "./examples/list_vector_store_files.json"
          }
        }
      }
    }
  },
  "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": {
                  "$ref": "#/components/schemas/contentFilterIdResult"
                },
                "type": "array"
              }
            }
          }
        ],
        "required": [
          "filtered",
          "details"
        ]
      },
      "promptFilterResult": {
        "type": "object",
        "description": "Content filtering results for a single prompt in the request.",
        "properties": {
          "prompt_index": {
            "type": "integer"
          },
          "content_filter_results": {
            "$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.\nWe 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.\nWe 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": {
                  "$ref": "#/components/schemas/chatCompletionRequestMessage"
                }
              },
              "data_sources": {
                "type": "array",
                "description": "  The configuration entries for Azure OpenAI chat extensions that use them.\n  This additional specification is only compatible with Azure OpenAI.",
                "items": {
                  "$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": "  A representation of configuration data for a single Azure OpenAI chat extension. This will be used by a chat\n  completions request that should use Azure OpenAI chat extensions to augment the response behavior.\n  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": "  A representation of configuration data for a single Azure OpenAI chat extension. This will be used by a chat\n  completions request that should use Azure OpenAI chat extensions to augment the response behavior.\n  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\nextension.",
        "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\nOpenAI 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\nextension.",
        "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": {
              "$ref": "#/components/schemas/onYourDataContextProperty"
            }
          }
        },
        "description": "Parameters to use when configuring Azure OpenAI On Your Data chat extensions when using Azure Cosmos DB for\nMongoDB vCore."
      },
      "azureCosmosDBFieldMappingOptions": {
        "required": [
          "content_fields",
          "vector_fields"
        ],
        "type": "object",
        "properties": {
          "title_field": {
            "type": "string",
            "description": "The name of the index field to use as a title."
          },
          "url_field": {
            "type": "string",
            "description": "The name of the index field to use as a URL."
          },
          "filepath_field": {
            "type": "string",
            "description": "The name of the index field to use as a filepath."
          },
          "content_fields": {
            "type": "array",
            "description": "The names of index fields that should be treated as content.",
            "items": {
              "type": "string"
            }
          },
          "content_fields_separator": {
            "type": "string",
            "description": "The separator pattern that content fields should use."
          },
          "vector_fields": {
            "type": "array",
            "description": "The names of fields that represent vector data.",
            "items": {
              "type": "string"
            }
          }
        },
        "description": "Optional settings to control how fields are processed when using a configured Azure Cosmos DB resource."
      },
      "elasticsearchChatExtensionConfiguration": {
        "required": [
          "parameters"
        ],
        "description": "A specific representation of configurable options for Elasticsearch when using it as an Azure OpenAI chat\nextension.",
        "allOf": [
          {
            "$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\nextension.",
        "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\nvector 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\nOn Your Data will use this model deployment via an internal call rather than a public one, which enables vector\nsearch even in private networks."
            },
            {
              "name": "modelId",
              "value": "model_id",
              "description": "Represents a specific embedding model ID as defined in the search service.\nCurrently 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\non 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"
                  },
                  {
                    "$ref": "#/components/schemas/onYourDataAccessTokenAuthenticationOptions"
                  }
                ]
              },
              "dimensions": {
                "type": "integer",
                "description": "The number of dimensions the embeddings should have. Only supported in `text-embedding-3` and later models.",
                "format": "int32"
              }
            }
          }
        ],
        "x-ms-discriminator-value": "endpoint"
      },
      "onYourDataDeploymentNameVectorizationSource": {
        "required": [
          "deployment_name"
        ],
        "description": "The details of a a vectorization source, used by Azure OpenAI On Your Data when applying vector search, that is based\non an internal embeddings model deployment name in the same Azure OpenAI resource.",
        "allOf": [
          {
            "$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\non 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": {
              "$ref": "#/components/schemas/retrievedDocument"
            }
          }
        },
        "description": "  A representation of the additional context information available when Azure OpenAI chat extensions are involved\n  in the generation of a corresponding chat completions response. This context information is only populated when\n  using an Azure OpenAI request configured to use a matching extension."
      },
      "citation": {
        "required": [
          "content"
        ],
        "type": "object",
        "properties": {
          "content": {
            "type": "string",
            "description": "The content of the citation."
          },
          "title": {
            "type": "string",
            "description": "The title of the citation."
          },
          "url": {
            "type": "string",
            "description": "The URL of the citation."
          },
          "filepath": {
            "type": "string",
            "description": "The file path of the citation."
          },
          "chunk_id": {
            "type": "string",
            "description": "The chunk ID of the citation."
          }
        },
        "description": "citation information for a chat completions response message."
      },
      "retrievedDocument": {
        "type": "object",
        "description": "The retrieved document.",
        "required": [
          "search_queries",
          "data_source_index",
          "original_search_score"
        ],
        "allOf": [
          {
            "$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": {
            "$ref": "#/components/schemas/azureChatExtensionsMessageContext"
          }
        }
      },
      "chatCompletionResponseMessageRole": {
        "type": "string",
        "enum": [
          "assistant"
        ],
        "description": "The role of the author of the response message."
      },
      "chatCompletionToolChoiceOption": {
        "description": "Controls which (if any) function is called by the model. `none` means the model will not call a function and instead generates a message. `auto` means the model can pick between generating a message or calling a function. Specifying a particular function via `{\"type\": \"function\", \"function\": {\"name\": \"my_function\"}}` forces the model to call that function.",
        "oneOf": [
          {
            "type": "string",
            "description": "`none` means the model will not call a function and instead generates a message. `auto` means the model can pick between generating a message or calling a function.",
            "enum": [
              "none",
              "auto"
            ]
          },
          {
            "$ref": "#/components/schemas/chatCompletionNamedToolChoice"
          }
        ]
      },
      "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"
            ]
          }
        }
      },
      "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[]": {
            "type": "array",
            "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.",
            "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": 1.0,
            "minimum": 0.25,
            "maximum": 4.0
          }
        },
        "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`.\n\nSetting to `{ \"type\": \"json_object\" }` enables JSON mode, which guarantees the message the model generates is valid JSON.\n\n**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.\n",
        "oneOf": [
          {
            "type": "string",
            "description": "`auto` is the default value\n",
            "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.\n",
        "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",
                  "description": "The object type, which is always assistant"
                }
              ]
            }
          },
          "created_at": {
            "description": "The Unix timestamp (in seconds) for when the assistant was created.",
            "type": "integer"
          },
          "name": {
            "description": "The name of the assistant. The maximum length is 256 characters.\n",
            "type": "string",
            "maxLength": 256,
            "nullable": true
          },
          "description": {
            "description": "The description of the assistant. The maximum length is 512 characters.\n",
            "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.\n",
            "type": "string"
          },
          "instructions": {
            "description": "The system instructions that the assistant uses. The maximum length is 256,000 characters.\n",
            "type": "string",
            "maxLength": 256000,
            "nullable": true
          },
          "tools": {
            "description": "A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`.\n",
            "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.\n",
            "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.\n",
                    "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.\n",
                    "maxItems": 1,
                    "items": {
                      "type": "string"
                    }
                  }
                }
              }
            }
          },
          "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.\n",
            "type": "object",
            "nullable": true
          },
          "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.\n",
            "type": "number",
            "minimum": 0,
            "maximum": 2,
            "default": 1,
            "example": 1,
            "nullable": true
          },
          "top_p": {
            "type": "number",
            "minimum": 0,
            "maximum": 1,
            "default": 1,
            "example": 1,
            "nullable": true,
            "description": "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.\n\nWe generally recommend altering this or temperature but not both.\n"
          },
          "response_format": {
            "$ref": "#/components/schemas/assistantsApiResponseFormatOption",
            "nullable": true
          }
        },
        "required": [
          "id",
          "object",
          "created_at",
          "name",
          "description",
          "model",
          "instructions",
          "tools",
          "metadata"
        ]
      },
      "createAssistantRequest": {
        "type": "object",
        "additionalProperties": false,
        "properties": {
          "model": {
            "description": "ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.\n",
            "anyOf": [
              {
                "type": "string"
              }
            ]
          },
          "name": {
            "description": "The name of the assistant. The maximum length is 256 characters.\n",
            "type": "string",
            "nullable": true,
            "maxLength": 256
          },
          "description": {
            "description": "The description of the assistant. The maximum length is 512 characters.\n",
            "type": "string",
            "nullable": true,
            "maxLength": 512
          },
          "instructions": {
            "description": "The system instructions that the assistant uses. The maximum length is 256,000 characters.\n",
            "type": "string",
            "nullable": true,
            "maxLength": 256000
          },
          "tools": {
            "description": "A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `retrieval`, or `function`.\n",
            "default": [],
            "type": "array",
            "maxItems": 128,
            "items": {
              "oneOf": [
                {
                  "$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.\n",
            "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.\n",
                    "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.\n",
                    "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.\n",
                    "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.\n",
                          "maxItems": 10000,
                          "items": {
                            "type": "string"
                          }
                        },
                        "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.\n",
                          "x-oaiTypeLabel": "map"
                        }
                      }
                    }
                  }
                },
                "oneOf": [
                  {
                    "required": [
                      "vector_store_ids"
                    ]
                  },
                  {
                    "required": [
                      "vector_stores"
                    ]
                  }
                ]
              }
            },
            "nullable": true
          },
          "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.\n",
            "type": "object",
            "nullable": true
          },
          "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.\n",
            "type": "number",
            "minimum": 0,
            "maximum": 2,
            "default": 1,
            "example": 1,
            "nullable": true
          },
          "top_p": {
            "type": "number",
            "minimum": 0,
            "maximum": 1,
            "default": 1,
            "example": 1,
            "nullable": true,
            "description": "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.\n\nWe generally recommend altering this or temperature but not both.\n"
          },
          "response_format": {
            "$ref": "#/components/schemas/assistantsApiResponseFormatOption",
            "nullable": true
          }
        },
        "required": [
          "model"
        ]
      },
      "modifyAssistantRequest": {
        "type": "object",
        "additionalProperties": false,
        "properties": {
          "model": {
            "description": "ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.\n",
            "anyOf": [
              {
                "type": "string"
              }
            ]
          },
          "name": {
            "description": "The name of the assistant. The maximum length is 256 characters.\n",
            "type": "string",
            "nullable": true,
            "maxLength": 256
          },
          "description": {
            "description": "The description of the assistant. The maximum length is 512 characters.\n",
            "type": "string",
            "nullable": true,
            "maxLength": 512
          },
          "instructions": {
            "description": "The system instructions that the assistant uses. The maximum length is 32768 characters.\n",
            "type": "string",
            "nullable": true,
            "maxLength": 32768
          },
          "tools": {
            "description": "A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `retrieval`, or `function`.\n",
            "default": [],
            "type": "array",
            "maxItems": 128,
            "items": {
              "oneOf": [
                {
                  "$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.\n",
            "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.\n",
                    "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.\n",
                    "maxItems": 1,
                    "items": {
                      "type": "string"
                    }
                  }
                }
              }
            }
          },
          "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.\n",
            "type": "object",
            "nullable": true
          },
          "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.\n",
            "type": "number",
            "minimum": 0,
            "maximum": 2,
            "default": 1,
            "example": 1,
            "nullable": true
          },
          "top_p": {
            "type": "number",
            "minimum": 0,
            "maximum": 1,
            "default": 1,
            "example": 1,
            "nullable": true,
            "description": "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.\n\nWe generally recommend altering this or temperature but not both.\n"
          },
          "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"
          },
          "last_id": {
            "type": "string"
          },
          "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"
                }
              ]
            }
          }
        },
        "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 initial 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.\n`none` means the model will not call any tools and instead generates a message.\n`auto` is the default value and means the model can pick between generating a message or calling a tool.\nSpecifying a particular tool like `{\"type\": \"file_search\"}` or `{\"type\": \"function\", \"function\": {\"name\": \"my_function\"}}` forces the model to call that tool.\n",
        "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.\n",
            "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": "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.\n",
            "type": "object",
            "nullable": true
          },
          "usage": {
            "$ref": "#/components/schemas/runCompletionUsage"
          },
          "temperature": {
            "description": "The sampling temperature used for this run. If not set, defaults to 1.",
            "type": "number",
            "nullable": true
          },
          "top_p": {
            "description": "The nucleus sampling value used for this run. If not set, defaults to 1.",
            "type": "number",
            "nullable": true
          },
          "max_prompt_tokens": {
            "type": "integer",
            "nullable": true,
            "description": "The maximum number of prompt tokens specified to have been used over the course of the run.\n",
            "minimum": 256
          },
          "max_completion_tokens": {
            "type": "integer",
            "nullable": true,
            "description": "The maximum number of completion tokens specified to have been used over the course of the run.\n",
            "minimum": 256
          },
          "truncation_strategy": {
            "$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": "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.\n",
            "type": "object",
            "nullable": true
          },
          "temperature": {
            "type": "number",
            "minimum": 0,
            "maximum": 2,
            "default": 1,
            "example": 1,
            "nullable": true,
            "description": "What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.\n"
          },
          "top_p": {
            "type": "number",
            "minimum": 0,
            "maximum": 1,
            "default": 1,
            "example": 1,
            "nullable": true,
            "description": "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.\n\nWe generally recommend altering this or temperature but not both.\n"
          },
          "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.\n"
          },
          "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.\n",
            "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.\n",
            "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"
          },
          "last_id": {
            "type": "string"
          },
          "has_more": {
            "type": "boolean",
            "example": false
          }
        },
        "required": [
          "object",
          "data",
          "first_id",
          "last_id",
          "has_more"
        ]
      },
      "modifyRunRequest": {
        "type": "object",
        "additionalProperties": false,
        "properties": {
          "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.\n",
            "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.\n"
          }
        },
        "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.\n",
            "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.\n",
                    "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.\n",
                    "maxItems": 1,
                    "items": {
                      "type": "string"
                    }
                  }
                }
              }
            },
            "nullable": true
          },
          "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.\n",
            "type": "object",
            "nullable": true
          },
          "temperature": {
            "type": "number",
            "minimum": 0,
            "maximum": 2,
            "default": 1,
            "example": 1,
            "nullable": true,
            "description": "What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.\n"
          },
          "top_p": {
            "type": "number",
            "minimum": 0,
            "maximum": 1,
            "default": 1,
            "example": 1,
            "nullable": true,
            "description": "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.\n\nWe generally recommend altering this or temperature but not both.\n"
          },
          "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.\n"
          },
          "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.\n",
            "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.\n",
            "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.\n",
            "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.\n",
                    "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.\n",
                    "maxItems": 1,
                    "items": {
                      "type": "string"
                    }
                  }
                }
              }
            },
            "nullable": true
          },
          "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.\n",
            "type": "object",
            "nullable": true
          }
        },
        "required": [
          "id",
          "object",
          "created_at",
          "tool_resources",
          "metadata"
        ]
      },
      "createThreadRequest": {
        "type": "object",
        "additionalProperties": false,
        "properties": {
          "messages": {
            "description": "A list of [messages](/docs/api-reference/messages) to start the thread with.",
            "type": "array",
            "items": {
              "$ref": "#/components/schemas/createMessageRequest"
            }
          },
          "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.\n",
            "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.\n",
                    "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.\n",
                    "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.\n",
                    "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.\n",
                          "maxItems": 10000,
                          "items": {
                            "type": "string"
                          }
                        },
                        "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.\n"
                        }
                      }
                    }
                  }
                },
                "oneOf": [
                  {
                    "required": [
                      "vector_store_ids"
                    ]
                  },
                  {
                    "required": [
                      "vector_stores"
                    ]
                  }
                ]
              }
            },
            "nullable": true
          },
          "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.\n",
            "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.\n",
            "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.\n",
                    "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.\n",
                    "maxItems": 1,
                    "items": {
                      "type": "string"
                    }
                  }
                }
              }
            },
            "nullable": true
          },
          "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.\n",
            "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"
          },
          "last_id": {
            "type": "string"
          },
          "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/assistantToolsFileSearch"
                      }
                    ]
                  }
                }
              }
            },
            "description": "A list of files attached to the message, and the tools they were added to.",
            "nullable": true
          },
          "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.\n",
            "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.\n",
        "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:\n- `user`: Indicates the message is sent by an actual user and should be used in most cases to represent user-generated messages.\n- `assistant`: Indicates the message is generated by the assistant. Use this value to insert messages from the assistant into the conversation.\n"
          },
          "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/assistantToolsFileSearch"
                      }
                    ],
                    "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": "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.\n",
            "type": "object",
            "nullable": true
          }
        }
      },
      "modifyMessageRequest": {
        "type": "object",
        "additionalProperties": false,
        "properties": {
          "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.\n",
            "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"
          },
          "last_id": {
            "type": "string"
          },
          "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"
              },
              "quote": {
                "description": "The specific quote in the file.",
                "type": "string"
              }
            },
            "required": [
              "file_id",
              "quote"
            ]
          },
          "start_index": {
            "type": "integer",
            "minimum": 0
          },
          "end_index": {
            "type": "integer",
            "minimum": 0
          }
        },
        "required": [
          "type",
          "text",
          "file_citation",
          "start_index",
          "end_index"
        ]
      },
      "messageContentTextAnnotationsFilePathObject": {
        "title": "File path",
        "type": "object",
        "description": "A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file.",
        "properties": {
          "type": {
            "description": "Always `file_path`.",
            "type": "string",
            "enum": [
              "file_path"
            ],
            "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.\n",
        "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](/docs/api-reference/assistants) 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": "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.\n",
            "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.\n",
        "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"
                  }
                ],
                "x-oaiExpandable": true
              }
            }
          }
        },
        "required": [
          "id",
          "object",
          "delta"
        ]
      },
      "listRunStepsResponse": {
        "properties": {
          "object": {
            "type": "string",
            "example": "list"
          },
          "data": {
            "type": "array",
            "items": {
              "$ref": "#/components/schemas/runStepObject"
            }
          },
          "first_id": {
            "type": "string"
          },
          "last_id": {
            "type": "string"
          },
          "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`.\n",
            "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`.\n",
            "items": {
              "oneOf": [
                {
                  "$ref": "#/components/schemas/runStepDeltaStepDetailsToolCallsCodeObject"
                },
                {
                  "$ref": "#/components/schemas/runStepDeltaStepDetailsToolCallsFileSearchObject"
                },
                {
                  "$ref": "#/components/schemas/runStepDeltaStepDetailsToolCallsFunctionObject"
                }
              ],
              "x-oaiExpandable": true
            }
          }
        },
        "required": [
          "type"
        ]
      },
      "runStepDetailsToolCallsCodeObject": {
        "title": "Code interpreter tool call",
        "type": "object",
        "description": "Details of the Code Interpreter tool call the run step was involved in.",
        "properties": {
          "id": {
            "type": "string",
            "description": "The ID of the tool call."
          },
          "type": {
            "type": "string",
            "description": "The type of tool call. This is always going to be `code_interpreter` for this type of tool call.",
            "enum": [
              "code_interpreter"
            ],
            "x-ms-enum": {
              "name": "RunStepDetailsToolCallsCodeObjectType",
              "modelAsString": true,
              "values": [
                {
                  "value": "code_interpreter"
                }
              ]
            }
          },
          "code_interpreter": {
            "type": "object",
            "description": "The Code Interpreter tool call definition.",
            "required": [
              "input",
              "outputs"
            ],
            "properties": {
              "input": {
                "type": "string",
                "description": "The input to the Code Interpreter tool call."
              },
              "outputs": {
                "type": "array",
                "description": "The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type.",
                "items": {
                  "type": "object",
                  "oneOf": [
                    {
                      "$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": "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.\n",
            "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": {
            "$ref": "#/components/schemas/vectorStoreExpirationAfter"
          },
          "metadata": {
            "description": "Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maximum of 512 characters long.\n",
            "type": "object",
            "nullable": true
          }
        }
      },
      "updateVectorStoreRequest": {
        "type": "object",
        "additionalProperties": false,
        "properties": {
          "name": {
            "description": "The name of the vector store.",
            "type": "string",
            "nullable": true
          },
          "expires_after": {
            "$ref": "#/components/schemas/vectorStoreExpirationAfter",
            "nullable": true
          },
          "metadata": {
            "description": "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.\n",
            "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"
            ]
          }
        },
        "required": [
          "id",
          "object",
          "usage_bytes",
          "created_at",
          "vector_store_id",
          "status",
          "last_error"
        ]
      },
      "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"
          }
        },
        "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"
            }
          }
        },
        "required": [
          "file_ids"
        ]
      },
      "assistantStreamEvent": {
        "description": "Represents an event emitted when streaming a Run.\n\nEach event in a server-sent events stream has an `event` and `data` property:\n\n```\nevent: thread.created\ndata: {\"id\": \"thread_123\", \"object\": \"thread\", ...}\n```\n\nWe emit events whenever a new object is created, transitions to a new state, or is being\nstreamed in parts (deltas). For example, we emit `thread.run.created` when a new run\nis created, `thread.run.completed` when a run completes, and so on. When an Assistant chooses\nto create a message during a run, we emit a `thread.message.created event`, a\n`thread.message.in_progress` event, many `thread.message.delta` events, and finally a\n`thread.message.completed` event.\n\nWe may add additional events over time, so we recommend handling unknown events gracefully\nin your code. See the [Assistants API quick start](/docs/assistants/overview) to learn how to\nintegrate the Assistants API with streaming.\n",
        "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"
      }
    }
  }
}