创建对话请求（OpenAI）

Authorizations

Authorization

string

header

required

Use the following format for authentication: Bearer

Body

application/json

model

enum<string>

required

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.

Available options:

Pro/moonshotai/Kimi-K2-Thinking,

moonshotai/Kimi-K2-Thinking,

Kwaipilot/KAT-Dev,

MiniMaxAI/MiniMax-M2,

deepseek-ai/DeepSeek-V3.2-Exp,

Pro/deepseek-ai/DeepSeek-V3.2-Exp,

inclusionAI/Ling-1T,

zai-org/GLM-4.6,

moonshotai/Kimi-K2-Instruct-0905,

Pro/deepseek-ai/DeepSeek-V3.1-Terminus,

deepseek-ai/DeepSeek-V3.1-Terminus,

Qwen/Qwen3-Next-80B-A3B-Instruct,

Qwen/Qwen3-Next-80B-A3B-Thinking,

inclusionAI/Ring-flash-2.0,

inclusionAI/Ling-flash-2.0,

inclusionAI/Ling-mini-2.0,

ByteDance-Seed/Seed-OSS-36B-Instruct,

stepfun-ai/step3,

Qwen/Qwen3-Coder-30B-A3B-Instruct,

Qwen/Qwen3-Coder-480B-A35B-Instruct,

Qwen/Qwen3-30B-A3B-Thinking-2507,

Qwen/Qwen3-30B-A3B-Instruct-2507,

Qwen/Qwen3-235B-A22B-Thinking-2507,

Qwen/Qwen3-235B-A22B-Instruct-2507,

zai-org/GLM-4.5-Air,

zai-org/GLM-4.5,

baidu/ERNIE-4.5-300B-A47B,

ascend-tribe/pangu-pro-moe,

tencent/Hunyuan-A13B-Instruct,

MiniMaxAI/MiniMax-M1-80k,

Tongyi-Zhiwen/QwenLong-L1-32B,

Qwen/Qwen3-30B-A3B,

Qwen/Qwen3-32B,

Qwen/Qwen3-14B,

Qwen/Qwen3-8B,

Qwen/Qwen3-235B-A22B,

THUDM/GLM-Z1-32B-0414,

THUDM/GLM-4-32B-0414,

THUDM/GLM-Z1-Rumination-32B-0414,

THUDM/GLM-4-9B-0414,

Qwen/QwQ-32B,

Pro/deepseek-ai/DeepSeek-R1,

Pro/deepseek-ai/DeepSeek-V3,

deepseek-ai/DeepSeek-R1,

deepseek-ai/DeepSeek-V3,

deepseek-ai/DeepSeek-R1-0528-Qwen3-8B,

deepseek-ai/DeepSeek-R1-Distill-Qwen-32B,

deepseek-ai/DeepSeek-R1-Distill-Qwen-14B,

deepseek-ai/DeepSeek-R1-Distill-Qwen-7B,

Pro/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B,

deepseek-ai/DeepSeek-V2.5,

Qwen/Qwen2.5-72B-Instruct-128K,

Qwen/Qwen2.5-72B-Instruct,

Qwen/Qwen2.5-32B-Instruct,

Qwen/Qwen2.5-14B-Instruct,

Qwen/Qwen2.5-7B-Instruct,

Qwen/Qwen2.5-Coder-32B-Instruct,

Qwen/Qwen2.5-Coder-7B-Instruct,

Qwen/Qwen2-7B-Instruct,

THUDM/glm-4-9b-chat,

internlm/internlm2_5-7b-chat,

Pro/Qwen/Qwen2.5-7B-Instruct,

Pro/Qwen/Qwen2-7B-Instruct,

Pro/THUDM/glm-4-9b-chat

Example:

"Qwen/QwQ-32B"

messages

object[]

required

A list of messages comprising the conversation so far.

Required array length: 1 - 10 elements

Show child attributes

messages.role

enum<string>

default:user

required

The role of the messages author. Choice between: system, user, or assistant.

Available options:

user,

assistant,

system

Example:

"user"

messages.content

string

default:What opportunities and challenges will the Chinese large model industry face in 2025?

required

The contents of the message.

Example:

"What opportunities and challenges will the Chinese large model industry face in 2025?"

stream

boolean

If set, tokens are returned as Server-Sent Events as they are made available. Stream terminates with data: [DONE]

Example:

false

max_tokens

integer

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

boolean

Switches between thinking and non-thinking modes. Default is True. This field supports the following models:

- zai-org/GLM-4.6
- Qwen/Qwen3-8B
- Qwen/Qwen3-14B
- Qwen/Qwen3-32B
- wen/Qwen3-30B-A3B
- Qwen/Qwen3-235B-A22B
- tencent/Hunyuan-A13B-Instruct
- zai-org/GLM-4.5V
- deepseek-ai/DeepSeek-V3.1-Terminus
- Pro/deepseek-ai/DeepSeek-V3.1-Terminus

If you want to use the function call feature for deepseek-ai/DeepSeek-V3.1 or Pro/deepseek-ai/DeepSeek-V3.1 , you need to set enable_thinking to false.

Example:

false

thinking_budget

integer

default:4096

Maximum number of tokens for chain-of-thought output. This field applies to all Reasoning models.

Required range: 128 <= x <= 32768

Example:

4096

min_p

number<float>

Dynamic filtering threshold that adapts based on token probabilities.This field only applies to Qwen3.

Required range: 0 <= x <= 1

Example:

0.05

stop

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

Example:

null

temperature

number<float>

Determines the degree of randomness in the response.

Example:

0.7

top_p

number<float>

default:0.7

The top_p (nucleus) parameter is used to dynamically adjust the number of choices for each predicted token based on the cumulative probabilities.

Example:

0.7

top_k

number<float>

Example:

50

frequency_penalty

number<float>

Example:

0.5

integer

Number of generations to return

Example:

1

response_format

object

An object specifying the format that the model must output.

Show child attributes

response_format.type

string

The type of the response format.

Example:

"text"

tools

object[]

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.

Show child attributes

tools.type

enum<string>

required

The type of the tool. Currently, only function is supported.

Available options:

function

tools.function

object

required

Show child attributes

tools.function.name

string

required

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.

tools.function.description

string

A description of what the function does, used by the model to choose when and how to call the function.

tools.function.parameters

object

The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

Omitting parameters defines a function with an empty parameter list.

tools.function.strict

boolean | null

default:false

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.

Response

200

string

choices

object[]

Show child attributes

choices.message

object

Show child attributes

choices.message.role

string

Example:

"assistant"

choices.message.content

string

choices.message.reasoning_content

string

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.

choices.message.tool_calls

object[]

The tool calls generated by the model, such as function calls.

Show child attributes

choices.message.tool_calls.id

string

required

The ID of the tool call.

choices.message.tool_calls.type

enum<string>

required

The type of the tool. Currently, only function is supported.

Available options:

function

choices.message.tool_calls.function

object

required

The function that the model called.

Show child attributes

choices.message.tool_calls.function.name

string

required

The name of the function to call.

choices.message.tool_calls.function.arguments

string

required

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.

choices.finish_reason

enum<string>

Available options:

stop,

eos,

length,

tool_calls

usage

object

Show child attributes

usage.prompt_tokens

integer

usage.completion_tokens

integer

usage.total_tokens

integer

created

integer

model

string

object

enum<string>

Available options:

chat.completion

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创建对话请求（OpenAI）

Authorizations

Body

Response