聊天补全 (Chat Completions)

创建聊天补全，与 OpenAI 的 Chat Completions API 完全兼容。

接口信息

• URL: /v1/chat/completions
• 方法: POST
• 认证: 需要 API Key

请求参数

参数	类型	必填	说明
model	string	是	模型 ID，如 gpt-4o-mini
messages	array	是	消息列表
temperature	number	否	温度参数，0-2，默认 1
max_tokens	integer	否	最大生成 token 数
top_p	number	否	核采样参数，0-1
frequency_penalty	number	否	频率惩罚，-2 到 2
presence_penalty	number	否	存在惩罚，-2 到 2
stream	boolean	否	是否流式输出，默认 false
stop	array	否	停止词列表
n	integer	否	生成数量，默认 1

messages 格式

{
  "messages": [
    {"role": "system", "content": "你是一个有用的助手"},
    {"role": "user", "content": "你好"},
    {"role": "assistant", "content": "你好！有什么可以帮助你的吗？"},
    {"role": "user", "content": "今天天气怎么样？"}
  ]
}

请求示例

普通请求

curl https://api.quickapi.store/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [
      {"role": "user", "content": "你好"}
    ],
    "temperature": 0.7,
    "max_tokens": 1000
  }'

流式请求

curl https://api.quickapi.store/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [
      {"role": "user", "content": "你好"}
    ],
    "stream": true
  }'

响应示例

普通响应

{
  "id": "chatcmpl-xxx",
  "object": "chat.completion",
  "created": 1700000000,
  "model": "gpt-4o-mini",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "你好！有什么可以帮助你的吗？"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 20,
    "total_tokens": 30
  }
}

流式响应

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","created":1700000000,"model":"gpt-4o-mini","choices":[{"index":0,"delta":{"content":"你好"},"finish_reason":null}]}

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","created":1700000000,"model":"gpt-4o-mini","choices":[{"index":0,"delta":{"content":"！"},"finish_reason":null}]}

data: [DONE]

Python 示例

from openai import OpenAI

client = OpenAI(
    base_url="https://api.quickapi.store/v1",
    api_key="YOUR_API_KEY"
)

# 普通请求
response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "你好"}]
)
print(response.choices[0].message.content)

# 流式请求
for chunk in client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "你好"}],
    stream=True
):
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")