Microsoft Azure · Schema
createChatCompletionRequest
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JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/createChatCompletionRequest",
"title": "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": {
"$ref": "#/components/schemas/azureChatExtensionConfiguration"
}
},
"enhancements": {
"type": "object",
"description": "The type of enhancements needed.",
"properties": {
"grounding": {
"type": "object",
"description": "Request object to specify if grounding enhancement is needed.",
"properties": {
"enabled": {
"type": "boolean",
"default": false
}
}
},
"ocr": {
"type": "object",
"description": "Request object to specify if ocr enhancement is needed.",
"properties": {
"enabled": {
"type": "boolean",
"default": false
}
}
}
}
},
"n": {
"type": "integer",
"minimum": 1,
"maximum": 128,
"default": 1,
"example": 1,
"nullable": true,
"description": "How many chat completion choices to generate for each input message."
},
"seed": {
"type": "integer",
"minimum": -9223372036854776000,
"maximum": 9223372036854776000,
"default": 0,
"example": 1,
"nullable": true,
"description": "If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result.Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend."
},
"logprobs": {
"description": "Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`. This option is currently not available on the `gpt-4-vision-preview` model.",
"type": "boolean",
"default": false,
"nullable": true
},
"top_logprobs": {
"description": "An integer between 0 and 5 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used.",
"type": "integer",
"minimum": 0,
"maximum": 5,
"nullable": true
},
"response_format": {
"type": "object",
"description": "An object specifying the format that the model must output. Used to enable JSON mode.",
"properties": {
"type": {
"$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"
]
}