Chat Completions API

完全兼容 OpenAI Chat Completions API 格式。

请求

POST https://api.tokenflying.top/v1/chat/completions

Headers

字段	值
Content-Type	application/json
Authorization	Bearer sk-你的ApiKey

Body

{
  "model": "gpt-5.5",
  "messages": [
    {"role": "system", "content": "你是一个有用的助手"},
    {"role": "user", "content": "你好"}
  ],
  "temperature": 0.7,
  "max_tokens": 2048,
  "stream": false
}

参数说明

参数	类型	必填	说明
model	string	✅	模型名称，见 模型列表
messages	array	✅	对话消息列表
temperature	number	❌	随机性，0-2，默认 1
max_tokens	integer	❌	最大输出 token 数
stream	boolean	❌	是否流式输出，默认 false
top_p	number	❌	核采样参数，0-1

响应

{
  "id": "chatcmpl-xxx",
  "object": "chat.completion",
  "created": 1234567890,
  "model": "gpt-5.5",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "你好！有什么可以帮你的？"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 20,
    "completion_tokens": 15,
    "total_tokens": 35
  }
}

流式输出

设置 "stream": true，响应以 SSE (Server-Sent Events) 格式返回：

data: {"id":"chatcmpl-xxx","choices":[{"delta":{"content":"你"},"index":0}]}

data: {"id":"chatcmpl-xxx","choices":[{"delta":{"content":"好"},"index":0}]}

data: [DONE]

Python 流式示例

from openai import OpenAI

client = OpenAI(
    api_key="sk-你的ApiKey",
    base_url="https://api.tokenflying.top/v1"
)

stream = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role": "user", "content": "写一首诗"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

多轮对话

将历史消息一起传入 messages 数组：

{
  "model": "gpt-5.5",
  "messages": [
    {"role": "user", "content": "我叫小明"},
    {"role": "assistant", "content": "你好小明！"},
    {"role": "user", "content": "我叫什么？"}
  ]
}