> ## Documentation Index > Fetch the complete documentation index at: https://docs.ai.cc/llms.txt > Use this file to discover all available pages before exploring further. # Native OpenAI Format > Creates model responses based on conversation history. Supports both streaming and non-streaming responses. Compatible with the OpenAI Chat Completions API. This endpoint integrates a third-party model. For detailed parameter information, please refer to the official documentation at [OpenAI Docs](https://platform.openai.com/docs/api-reference/chat/create). ## OpenAPI ````yaml api-reference/openapi.json post /v1/chat/completions openapi: 3.0.1 info: title: AI model interface description: '' version: 1.0.0 servers: - url: https://api.ai.cc security: - BearerAuth: [] tags: - name: Get Model List - name: Text completion - name: Translator - name: OpenAI Chat - name: OpenAI Response - name: Claude Messages - name: Gemini Generate Content - name: Video Task - name: Sora Video Task paths: /v1/chat/completions: post: tags: - OpenAI Chat summary: Create a chat conversation description: >- Creates model responses based on conversation history. Supports both streaming and non-streaming responses. Compatible with the OpenAI Chat Completions API. operationId: createChatCompletion parameters: [] requestBody: content: application/json: schema: $ref: '#/components/schemas/ChatCompletionRequest' examples: Default: summary: examples value: model: gpt-4 messages: - role: developer content: You are a helpful assistant. - role: user content: Hello! required: true responses: '200': description: Successfully created response content: application/json: schema: $ref: '#/components/schemas/ChatCompletionResponse' headers: {} '400': description: Incorrect request parameters content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' headers: {} '429': description: Request frequency limit content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' headers: {} deprecated: false security: - BearerAuth: [] components: schemas: ChatCompletionRequest: type: object required: - model - messages properties: model: type: string description: model ID messages: type: array items: $ref: '#/components/schemas/Message' description: message list temperature: type: number minimum: 0 maximum: 2 default: 1 description: 'What sampling temperature to use, between 0 and 2. ' top_p: type: number minimum: 0 maximum: 1 default: 1 description: >- An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. 'n': type: integer minimum: 1 default: 1 description: How many chat completion choices to generate for each input message. stream: type: boolean default: false description: >- If set to true, the model response data will be streamed to the client as it is generated using server-sent events. stream_options: type: object properties: include_usage: type: boolean stop: oneOf: - type: string - type: array items: type: string description: Up to 4 sequences where the API will stop generating further tokens. max_tokens: type: integer description: >- The maximum number of tokens that can be generated in the chat completion. This value can be used to control costs for text generated via API. max_completion_tokens: type: integer description: >- An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and reasoning tokens. presence_penalty: type: number minimum: -2 maximum: 2 default: 0 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. frequency_penalty: type: number minimum: -2 maximum: 2 default: 0 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. logit_bias: type: object additionalProperties: type: number properties: {} user: type: string tools: type: array items: $ref: '#/components/schemas/Tool' tool_choice: oneOf: - type: string enum: - none - auto - required - type: object properties: type: type: string function: type: object properties: name: type: string response_format: $ref: '#/components/schemas/ResponseFormat' seed: type: integer reasoning_effort: type: string enum: - low - medium - high modalities: type: array items: type: string enum: - text - audio audio: type: object properties: voice: type: string format: type: string ChatCompletionResponse: type: object properties: id: type: string object: type: string example: chat.completion created: type: integer model: type: string choices: type: array items: type: object properties: index: type: integer message: $ref: '#/components/schemas/Message' finish_reason: type: string enum: - stop - length - tool_calls - content_filter usage: $ref: '#/components/schemas/Usage' system_fingerprint: type: string ErrorResponse: type: object properties: error: type: object properties: message: type: string description: error message type: type: string description: error type param: type: string description: error param nullable: true code: type: string description: code nullable: true Message: type: object required: - role - content properties: role: type: string enum: - system - user - assistant - tool - developer description: role content: oneOf: - type: string - type: array items: $ref: '#/components/schemas/MessageContent' description: content name: type: string tool_calls: type: array items: $ref: '#/components/schemas/ToolCall' tool_call_id: type: string reasoning_content: type: string Tool: type: object properties: type: type: string example: function function: type: object properties: name: type: string description: type: string parameters: type: object properties: {} ResponseFormat: type: object properties: type: type: string enum: - text - json_object - json_schema json_schema: type: object properties: {} Usage: type: object properties: prompt_tokens: type: integer completion_tokens: type: integer total_tokens: type: integer prompt_tokens_details: type: object properties: cached_tokens: type: integer text_tokens: type: integer audio_tokens: type: integer image_tokens: type: integer completion_tokens_details: type: object properties: text_tokens: type: integer audio_tokens: type: integer reasoning_tokens: type: integer MessageContent: type: object properties: type: type: string enum: - text - image_url - input_audio - file - video_url text: type: string image_url: type: object properties: url: type: string description: image URL or base64 detail: type: string enum: - low - high - auto input_audio: type: object properties: data: type: string description: Base64 encode audio format: type: string enum: - wav - mp3 file: type: object properties: filename: type: string file_data: type: string file_id: type: string video_url: type: object properties: url: type: string ToolCall: type: object properties: id: type: string type: type: string example: function function: type: object properties: name: type: string arguments: type: string securitySchemes: BearerAuth: type: http scheme: bearer description: | Authentication is done using Bearer Token. Format: `Authorization: Bearer sk-xxxxxx` ````