> ## Documentation Index > Fetch the complete documentation index at: https://docs.siliconflow.cn/llms.txt > Use this file to discover all available pages before exploring further. # 创建对话请求（OpenAI） > Creates a model response for the given chat conversation. ## OpenAPI ````yaml post /chat/completions openapi: 3.0.0 info: title: SiliconFlow API description: The SiliconFlow REST API version: 1.0.0 contact: name: SiliconFlow Support url: https://www.siliconflow.cn/ license: name: MIT url: https://github.com/siliconflow/siliconcloud/blob/main/LICENSE servers: - url: https://api.siliconflow.cn/v1 security: - bearerAuth: [] paths: /chat/completions: post: tags: - Chat Completions summary: Chat Completions description: Creates a model response for the given chat conversation. operationId: chat-completions requestBody: content: application/json: schema: oneOf: - $ref: '#/components/schemas/ChatCompletionRequest' - $ref: '#/components/schemas/ChatCompletionVLMRequest' responses: '200': description: >- The response from the model. The response header contains the x-siliconcloud-trace-id field, which serves as a unique identifier for tracing requests, facilitating log queries and issue troubleshooting. headers: x-siliconcloud-trace-id: description: 请求追踪ID schema: type: string cache-control: description: 缓存控制 schema: type: string content: application/json: schema: $ref: '#/components/schemas/ChatCompletionResponse' examples: Default: summary: Default value: id: 019bdaa55225ef854b320e9b838f77ce object: chat.completion created: 1768899826 model: Pro/zai-org/GLM-4.7 choices: - index: 0 message: role: assistant content: 你好！... reasoning_content: ... finish_reason: stop usage: prompt_tokens: 15 completion_tokens: 1540 total_tokens: 1555 completion_tokens_details: reasoning_tokens: 1190 prompt_tokens_details: cached_tokens: 0 prompt_cache_hit_tokens: 0 prompt_cache_miss_tokens: 15 system_fingerprint: '' Streaming: summary: Streaming value: id: 019bdaabd0514ee04b65607601e48651 object: chat.completion.chunk created: 1768900251 model: Pro/zai-org/GLM-4.7 choices: - index: 0 delta: content: '' reasoning_content: null role: assistant finish_reason: null system_fingerprint: '' usage: prompt_tokens: 15 completion_tokens: 0 total_tokens: 15 Image input: summary: Image input value: id: 019bda85c39aba6a5fccce598dac8587 object: chat.completion created: 1768897758 model: zai-org/GLM-4.6V choices: - index: 0 message: role: assistant content: ... reasoning_content: ... finish_reason: stop usage: prompt_tokens: 1383 completion_tokens: 205 total_tokens: 1588 completion_tokens_details: reasoning_tokens: 118 prompt_tokens_details: cached_tokens: 0 prompt_cache_hit_tokens: 0 prompt_cache_miss_tokens: 1383 system_fingerprint: '' Function: summary: Function value: id: 019bda909755f42bd3785e4c1c8117bb object: chat.completion created: 1768898467 model: zai-org/GLM-4.6V choices: - index: 0 message: role: assistant content: ... reasoning_content: ... tool_calls: - id: 019bda90bb06ea1f88f140889ff0916b type: function function: name: get_current_weather arguments: '{"location": "Boston, MA"}' finish_reason: tool_calls usage: prompt_tokens: 216 completion_tokens: 135 total_tokens: 351 completion_tokens_details: reasoning_tokens: 107 prompt_tokens_details: cached_tokens: 0 prompt_cache_hit_tokens: 0 prompt_cache_miss_tokens: 216 system_fingerprint: '' text/event-stream: schema: $ref: '#/components/schemas/ChatCompletionStream' examples: Default: summary: Default value: id: 019bdaa55225ef854b320e9b838f77ce object: chat.completion created: 1768899826 model: Pro/zai-org/GLM-4.7 choices: - index: 0 message: role: assistant content: 你好！... reasoning_content: ... finish_reason: stop usage: prompt_tokens: 15 completion_tokens: 1540 total_tokens: 1555 completion_tokens_details: reasoning_tokens: 1190 prompt_tokens_details: cached_tokens: 0 prompt_cache_hit_tokens: 0 prompt_cache_miss_tokens: 15 system_fingerprint: '' Streaming: summary: Streaming value: id: 019bdaabd0514ee04b65607601e48651 object: chat.completion.chunk created: 1768900251 model: Pro/zai-org/GLM-4.7 choices: - index: 0 delta: content: '' reasoning_content: null role: assistant finish_reason: null system_fingerprint: '' usage: prompt_tokens: 15 completion_tokens: 0 total_tokens: 15 Image input: summary: Image input value: id: 019bda85c39aba6a5fccce598dac8587 object: chat.completion created: 1768897758 model: zai-org/GLM-4.6V choices: - index: 0 message: role: assistant content: ... reasoning_content: ... finish_reason: stop usage: prompt_tokens: 1383 completion_tokens: 205 total_tokens: 1588 completion_tokens_details: reasoning_tokens: 118 prompt_tokens_details: cached_tokens: 0 prompt_cache_hit_tokens: 0 prompt_cache_miss_tokens: 1383 system_fingerprint: '' Function: summary: Function value: id: 019bda909755f42bd3785e4c1c8117bb object: chat.completion created: 1768898467 model: zai-org/GLM-4.6V choices: - index: 0 message: role: assistant content: ... reasoning_content: ... tool_calls: - id: 019bda90bb06ea1f88f140889ff0916b type: function function: name: get_current_weather arguments: '{"location": "Boston, MA"}' finish_reason: tool_calls usage: prompt_tokens: 216 completion_tokens: 135 total_tokens: 351 completion_tokens_details: reasoning_tokens: 107 prompt_tokens_details: cached_tokens: 0 prompt_cache_hit_tokens: 0 prompt_cache_miss_tokens: 216 system_fingerprint: '' '400': $ref: '#/components/responses/BadRequest' '401': $ref: '#/components/responses/Unauthorized' '403': $ref: '#/components/responses/Forbidden' '404': $ref: '#/components/responses/NotFound' '429': $ref: '#/components/responses/RateLimit' '503': $ref: '#/components/responses/Overloaded' '504': $ref: '#/components/responses/Timeout' deprecated: false x-codeSamples: - lang: python label: Default source: | from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.siliconflow.cn/v1" ) response = client.chat.completions.create( model="Pro/zai-org/GLM-4.7", messages=[ {"role": "system", "content": "你是一个有用的助手"}, {"role": "user", "content": "你好，请介绍一下你自己"} ] ) print(response.choices[0].message.content) - lang: curl label: Default source: | curl --request POST \ --url https://api.siliconflow.cn/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_API_KEY" \ -d '{ "model": "Pro/zai-org/GLM-4.7", "messages": [ {"role": "system", "content": "你是一个有用的助手"}, {"role": "user", "content": "你好，请介绍一下你自己"} ] }' - lang: javaScript label: Default source: | fetch('https://api.siliconflow.cn/v1/chat/completions', { method: 'POST', headers: { 'Content-Type': 'application/json', 'Authorization': 'Bearer YOUR_API_KEY' }, body: JSON.stringify({ model: 'Pro/zai-org/GLM-4.7', messages: [ {role: 'system', content: '你是一个有用的助手'}, {role: 'user', content: '你好，请介绍一下你自己'} ] }) }) .then(response => response.json()) .then(data => console.log(data)) .catch(error => console.error('Error:', error)); - lang: python label: Streaming source: | from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.siliconflow.cn/v1" ) response = client.chat.completions.create( model="Pro/zai-org/GLM-4.7", messages=[ {"role": "system", "content": "你是一个有用的助手"}, {"role": "user", "content": "你好，请介绍一下你自己"} ], stream=True ) print(response.choices[0].message.content) - lang: curl label: Streaming source: | curl --request POST \ --url https://api.siliconflow.cn/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_API_KEY" \ -d '{ "model": "Pro/zai-org/GLM-4.7", "messages": [ {"role": "system", "content": "你是一个有用的助手"}, {"role": "user", "content": "你好，请介绍一下你自己"} ], "stream": true }' - lang: javaScript label: Streaming source: | fetch('https://api.siliconflow.cn/v1/chat/completions', { method: 'POST', headers: { 'Content-Type': 'application/json', 'Authorization': 'Bearer YOUR_API_KEY' }, body: JSON.stringify({ model: 'Pro/zai-org/GLM-4.7', messages: [ {role: 'system', content: '你是一个有用的助手'}, {role: 'user', content: '你好，请介绍一下你自己'} ], "stream": true, }) }) .then(response => response.json()) .then(data => console.log(data)) .catch(error => console.error('Error:', error)); - lang: python label: Image input source: | from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.siliconflow.cn/v1" ) response = client.chat.completions.create( model="zai-org/GLM-4.6V", messages=[ { "role": "user", "content": [ {"type": "text", "text": "What's in this image?"}, { "type": "image_url", "image_url": { "url": "https://sf-maas-uat-prod.oss-cn-shanghai.aliyuncs.com/suggestion/lbygavkzjykewmmpnzfutkvedlowunms.png", } }, ], } ], max_tokens=300, ) print(response.choices[0]) - lang: curl label: Image input source: | curl --location 'https://api.siliconflow.cn/v1/chat/completions' \ --header 'Content-Type: application/json' \ --header 'Authorization: Bearer YOUR_API_KEY' \ --data '{ "model": "zai-org/GLM-4.6V", "messages": [ { "role": "user", "content": [ {"type": "text", "text": "What'\''s in this image?"}, { "type": "image_url", "image_url": { "url": "https://sf-maas-uat-prod.oss-cn-shanghai.aliyuncs.com/suggestion/lbygavkzjykewmmpnzfutkvedlowunms.png" } } ] } ], "temperature": 0.7, "max_tokens": 1000 }' - lang: javaScript label: Image input source: | fetch('https://api.siliconflow.cn/v1/chat/completions', { method: 'POST', headers: { 'Content-Type': 'application/json', 'Authorization': 'Bearer YOUR_API_KEY' }, body: JSON.stringify({ model: 'zai-org/GLM-4.6V', messages: [ {role: 'user', content: 'What'\''s in this image?'}, {role: 'image_url', image_url: {url: 'https://sf-maas-uat-prod.oss-cn-shanghai.aliyuncs.com/suggestion/lbygavkzjykewmmpnzfutkvedlowunms.png'}} ], temperature: 0.7, max_tokens: 1000 }) }) .then(response => response.json()) .then(data => console.log(data)) .catch(error => console.error('Error:', error)); - lang: python label: Function source: > from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.siliconflow.cn/v1" ) tools = [ { "type": "function", "function": { "name": "get_current_weather", "description": "Get the current weather in a given location", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state, e.g. San Francisco, CA", }, "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, }, "required": ["location"], }, } } ] messages = [{"role": "user", "content": "What's the weather like in Boston today?"}] completion = client.chat.completions.create( model="Pro/zai-org/GLM-4.7", messages=messages, tools=tools, tool_choice="auto" ) print(completion) - lang: curl label: Function source: | curl --location 'https://api.siliconflow.cn/v1/chat/completions' \ --header 'Content-Type: application/json' \ --header 'Authorization: Bearer YOUR_API_KEY' \ --data '{ "model": "Pro/zai-org/GLM-4.7", "messages": [ { "role": "user", "content": "What is the weather like in Boston today?" } ], "tools": [ { "type": "function", "function": { "name": "get_current_weather", "description": "Get the current weather in a given location", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state, e.g. San Francisco, CA" }, "unit": { "type": "string", "enum": ["celsius", "fahrenheit"] } }, "required": ["location"] } } } ], "tool_choice": "auto" }' - lang: javaScript label: Function source: | const apiKey = 'YOUR_API_KEY'; fetch('https://api.siliconflow.cn/v1/chat/completions', { method: 'POST', headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${apiKey}` }, body: JSON.stringify({ model: "Pro/zai-org/GLM-4.7", messages: [ { role: "user", content: "What is the weather like in Boston today?" } ], tools: [ { type: "function", function: { name: "get_current_weather", description: "Get the current weather in a given location", parameters: { type: "object", properties: { location: { type: "string", description: "The city and state, e.g. San Francisco, CA" }, unit: { type: "string", enum: ["celsius", "fahrenheit"] } }, required: ["location"] } } } ], tool_choice: "auto" }) }) .then(response => response.json()) .then(data => console.log(data)) .catch(error => console.error('Error:', error)); components: schemas: ChatCompletionRequest: title: LLM type: object required: - model - messages properties: model: type: string description: >- Corresponding Model Name. We periodically update our models to enhance service quality. Changes may include model on/offlining or capability adjustments. We will strive to notify you via announcements or push messages. **For a complete list of available models, please check the [Models](https://cloud.siliconflow.cn/sft-d29cs9gh3vvc73c59kb0/models?types=chat)**. example: Pro/zai-org/GLM-4.7 messages: type: array description: A list of messages comprising the conversation so far. items: type: object properties: role: type: string description: >- The role of the messages author. Choice between: system, user, or assistant. example: user default: user enum: - user - assistant - system content: oneOf: - type: string description: The contents of the message. example: >- What opportunities and challenges will the Chinese large model industry face in 2025? default: >- What opportunities and challenges will the Chinese large model industry face in 2025? required: - role - content minItems: 1 maxItems: 10 stream: type: boolean description: >- If set, tokens are returned as Server-Sent Events as they are made available. Stream terminates with `data: [DONE]` example: false max_tokens: type: integer description: > The maximum number of tokens to generate. Ensure that input tokens + max_tokens do not exceed the model’s context window. As some services are still being updated, avoid setting max_tokens to the window’s upper bound; reserve ~10k tokens as buffer for input and system overhead. See Models(https://cloud.siliconflow.cn/models) for details. example: 4096 enable_thinking: type: boolean description: > Switches between thinking and non-thinking modes. This field supports the following models: - Pro/zai-org/GLM-5 - Pro/zai-org/GLM-4.7 - deepseek-ai/DeepSeek-V3.2 - Pro/deepseek-ai/DeepSeek-V3.2 - zai-org/GLM-4.6 - Qwen/Qwen3-8B - Qwen/Qwen3-14B - Qwen/Qwen3-32B - Qwen/Qwen3-30B-A3B - tencent/Hunyuan-A13B-Instruct - zai-org/GLM-4.5V - deepseek-ai/DeepSeek-V3.1-Terminus - Pro/deepseek-ai/DeepSeek-V3.1-Terminus - Qwen/Qwen3.5-397B-A17B - Qwen/Qwen3.5-122B-A10B - Qwen/Qwen3.5-35B-A3B - Qwen/Qwen3.5-27B - Qwen/Qwen3.5-9B - Qwen/Qwen3.5-4B example: false thinking_budget: type: integer description: >- Maximum number of tokens for chain-of-thought output. This field applies to most [Reasoning models](https://cloud.siliconflow.cn/me/models?tags=%E6%8E%A8%E7%90%86%E6%A8%A1%E5%9E%8B). example: 4096 minimum: 128 maximum: 32768 reasoning_effort: type: string description: > This field only applies to deepseek-ai/DeepSeek-V4-Flash. In thinking mode, the default effort for regular requests is high; for certain complex agent-type requests (such as Claude Code, OpenCode), the effort is automatically set to max. In thinking mode, for compatibility reasons, low and medium are mapped to high, and xhigh is mapped to max. example: high enum: - high - max min_p: type: number description: >- Dynamic filtering threshold that adapts based on token probabilities.This field only applies to Qwen3. format: float example: 0.05 minimum: 0 maximum: 1 stop: description: > Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. nullable: true oneOf: - type: string example: null nullable: true - type: array minItems: 1 maxItems: 4 items: type: string example: 'null' temperature: type: number description: Determines the degree of randomness in the response. format: float example: 0.7 top_p: type: number description: >- The `top_p` (nucleus) parameter is used to dynamically adjust the number of choices for each predicted token based on the cumulative probabilities. format: float example: 0.7 default: 0.7 top_k: type: number format: float example: 50 frequency_penalty: type: number format: float example: 0.5 'n': type: integer description: Number of generations to return example: 1 response_format: type: object description: An object specifying the format that the model must output. properties: type: type: string description: The type of the response format. example: text tools: type: array 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. A max of 128 functions are supported. items: $ref: '#/components/schemas/ChatCompletionTool' ChatCompletionVLMRequest: title: VLM type: object required: - model - messages properties: model: type: string description: >- Corresponding Model Name. To better enhance service quality, we will make periodic changes to the models provided by this service, including but not limited to model on/offlining and adjustments to model service capabilities. We will notify you of such changes through appropriate means such as announcements or message pushes where feasible.**For a complete list of available models, please check the [Models](https://cloud.siliconflow.cn/sft-d29cs9gh3vvc73c59kb0/models?tags=%E8%A7%86%E8%A7%89)**. example: deepseek-ai/DeepSeek-OCR default: deepseek-ai/DeepSeek-OCR messages: type: array description: A list of messages comprising the conversation so far. items: type: object properties: role: type: string description: >- The role of the messages author. Choice between: system, user, or assistant. example: user default: user enum: - user - assistant - system content: oneOf: - 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. The Qwen3-Omni series supports `video_url` and `audio_url`, enabling the recognition of video and audio content. The Qwen3-VL model also supports `video_url`, allowing it to recognize video content. Recommend videos and audio within 30 seconds. items: $ref: >- #/components/schemas/ChatCompletionRequestUserMessageContentPart minItems: 1 required: - role - content minItems: 1 maxItems: 10 stream: type: boolean description: >- If set, tokens are returned as Server-Sent Events as they are made available. Stream terminates with `data: [DONE]` example: false default: false max_tokens: type: integer description: > The maximum number of tokens to generate. Ensure that input tokens + max_tokens do not exceed the model’s context window. As some services are still being updated, avoid setting max_tokens to the window’s upper bound; reserve ~10k tokens as buffer for input and system overhead. See Models(https://cloud.siliconflow.cn/models) for details. stop: description: > Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. default: [] nullable: true oneOf: - type: array minItems: 1 maxItems: 4 items: type: string example: 'null' - type: string default: <|endoftext|> example: |+ nullable: true - type: string default: <|endoftext|> example: '' nullable: true temperature: type: number description: Determines the degree of randomness in the response. format: float example: 0.7 default: 0.7 top_p: type: number description: >- The `top_p` (nucleus) parameter is used to dynamically adjust the number of choices for each predicted token based on the cumulative probabilities. format: float example: 0.7 default: 0.7 top_k: type: number format: float example: 50 default: 50 frequency_penalty: type: number format: float example: 0.5 default: 0.5 'n': type: integer description: Number of generations to return example: 1 default: 1 response_format: type: object description: An object specifying the format that the model must output. properties: type: type: string description: The type of the response format. example: text ChatCompletionResponse: type: object properties: id: type: string choices: $ref: '#/components/schemas/ChatCompletionChoicesData' usage: $ref: '#/components/schemas/UsageData' created: type: integer model: type: string object: type: string enum: - chat.completion ChatCompletionStream: type: object properties: id: type: string choices: $ref: '#/components/schemas/ChatCompletionChoicesData' created: type: integer model: type: string object: type: string enum: - chat.completion.chunk ChatCompletionTool: type: object properties: type: type: string enum: - function description: The type of the tool. Currently, only `function` is supported. function: $ref: '#/components/schemas/FunctionObject' required: - type - function ChatCompletionRequestUserMessageContentPart: oneOf: - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartText' - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartImage' - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartAudio' - $ref: '#/components/schemas/ChatCompletionRequestMessageContentPartVideo' x-oaiExpandable: true ChatCompletionChoicesData: type: array items: type: object properties: message: type: object properties: role: type: string example: assistant content: type: string reasoning_content: description: >- Only the deepseek-R1 series and Qwen/QwQ-32B models support reasoning_content. This part returns the reasoning content, which is at the same level as the content. In each round of the conversation, the model outputs the reasoning chain content (reasoning_content) and the final answer (content). In the next round of the conversation, the reasoning chain content from previous rounds will not be appended to the context. type: string tool_calls: type: array description: The tool calls generated by the model, such as function calls. items: $ref: '#/components/schemas/ChatCompletionMessageToolCall' finish_reason: $ref: '#/components/schemas/FinishReason' UsageData: type: object 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). prompt_cache_hit_tokens: type: integer description: >- The number of tokens in the input of this request that resulted in a cache hit. prompt_cache_miss_tokens: type: integer description: >- The number of tokens in the input of this request that did not result in a cache hit. completion_tokens_details: type: object description: Breakdown of tokens used in a completion. properties: reasoning_tokens: type: integer default: 0 description: Tokens generated by the model for reasoning. prompt_tokens_details: type: object description: Breakdown of tokens used in the prompt. properties: cached_tokens: type: integer default: 0 description: Cached tokens present in the prompt. required: - prompt_tokens - completion_tokens - total_tokens BadRquestData: type: object required: - message - data - code properties: code: type: integer nullable: true default: false example: 20012 message: type: string nullable: false data: type: string nullable: false UnauthorizedData: type: string default: false example: Invalid token ForbiddenData: type: string default: false example: Forbidden NotFoundData: type: string default: false example: 404 page not found RateLimitData: type: object required: - message - data properties: message: type: string example: >- Request was rejected due to rate limiting. If you want more, please contact contact@siliconflow.cn. Details:TPM limit reached. data: type: string OverloadedtData: type: object required: - code - message - data properties: code: type: integer example: 50505 message: type: string example: Model service overloaded. Please try again later. data: type: string nullable: false TimeoutData: type: string 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' strict: type: boolean nullable: true default: false description: >- Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](docs/guides/function-calling). required: - name ChatCompletionRequestMessageContentPartText: type: object title: Text properties: type: type: string enum: - text description: The type of the content part. default: text text: type: string description: The text content. default: Describe this picture. required: - type - text ChatCompletionRequestMessageContentPartImage: type: object title: Image properties: type: type: string enum: - image_url description: The type of the image content part. deepseek-ai/DeepSeek-OCR default: image_url image_url: type: object properties: url: type: string description: >- Either a URL of the image or the base64 encoded image data. For model `deepseek-ai/DeepSeek-OCR`, PDF files are also supported via URL or base64; other models accept images only. TeleAI/TeleMM only support the base64 encoded image data. example: https://sf-maas-uat-prod.oss-cn-shanghai.aliyuncs.com/dog.png detail: type: string description: >- Specifies the detail level of the image. For model `deepseek-ai/DeepSeek-OCR`, this field is not supported and uses fixed Base mode with 1024x1024 resolution. enum: - auto - low - high default: auto required: - url required: - type - image_url ChatCompletionRequestMessageContentPartAudio: type: object title: Audio properties: type: type: string enum: - audio_url description: The type of the audio content part. default: audio_url audio_url: type: object description: The audion url. properties: url: type: string description: Either a URL of the video or the base64 encoded video data. example: data:audio/mpeg;base64, required: - url required: - type - video_url ChatCompletionRequestMessageContentPartVideo: type: object title: Video properties: type: type: string enum: - video_url description: The type of the content part. default: video_url video_url: type: object properties: url: type: string description: Either a URL of the video or the base64 encoded video data. example: data:video/mp4;base64, detail: type: string description: Specifies the detail level of the video. enum: - auto - low - high default: auto max_frams: type: integer description: The upper limit for the total number of frames. fps: type: integer description: > The number of frames extracted per second from a video of length T seconds. The final number of frames is min(fps × T, max_frames). For example: - For a 10-second video with fps = 1 and max_frames = 8, the final number of frames is min(1 × 10, 8) = 8. - For a 5-second video with fps = 2 and max_frames = 30, the final number of frames is min(2 × 5, 30) = 10. required: - url required: - type - video_url ChatCompletionMessageToolCall: type: object properties: id: type: string description: The ID of the tool call. type: type: string enum: - function description: The type of the tool. Currently, only `function` is supported. 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 FinishReason: type: string enum: - stop - eos - length - tool_calls FunctionParameters: type: object description: >- The parameters the functions accepts, described as a JSON Schema object. See the [guide](/guides/function_calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. Omitting `parameters` defines a function with an empty parameter list. additionalProperties: true responses: BadRequest: description: BadRequest content: application/json: schema: $ref: '#/components/schemas/BadRquestData' Unauthorized: description: Unauthorized content: application/json: schema: $ref: '#/components/schemas/UnauthorizedData' Forbidden: description: Forbidden content: application/json: schema: $ref: '#/components/schemas/ForbiddenData' NotFound: description: NotFound content: application/json: schema: $ref: '#/components/schemas/NotFoundData' RateLimit: description: RateLimit content: application/json: schema: $ref: '#/components/schemas/RateLimitData' Overloaded: description: Overloaded content: application/json: schema: $ref: '#/components/schemas/OverloadedtData' Timeout: description: Timeout content: application/json: schema: $ref: '#/components/schemas/TimeoutData' securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: your api key description: >- Use the following format for authentication: Bearer [](https://cloud.siliconflow.cn/account/ak) ````