Chat Completions API 是最常用的 API 接口，用于创建多轮对话和文本生成任务。

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接口地址

POST https://api.weelinking.com/v1/chat/completions

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请求头

Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

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请求参数

参数类型必填说明
modelstring是模型名称，如 gpt-4o、claude-3-opus-20240229
messagesarray是消息数组，包含对话历史
temperaturenumber否采样温度，0-2 之间，默认 1
max_tokensnumber否最大生成 token 数
streamboolean否是否流式输出，默认 false
top_pnumber否核采样参数，0-1 之间

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messages 参数格式

[
  {"role": "system", "content": "你是一个有帮助的助手"},
  {"role": "user", "content": "你好"},
  {"role": "assistant", "content": "你好！有什么可以帮助你的吗？"},
  {"role": "user", "content": "请介绍一下你自己"}
]

​
请求示例

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Python

import openai

client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.weelinking.com/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "你是一个有帮助的助手"},
        {"role": "user", "content": "你好，请介绍一下你自己"}
    ],
    temperature=0.7,
    max_tokens=1000
)

print(response.choices[0].message.content)

​
cURL

curl https://api.weelinking.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "system", "content": "你是一个有帮助的助手"},
      {"role": "user", "content": "你好，请介绍一下你自己"}
    ],
    "temperature": 0.7,
    "max_tokens": 1000
  }'

​
Node.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://api.weelinking.com/v1'
});

async function main() {
  const response = await client.chat.completions.create({
    model: 'gpt-4o',
    messages: [
      { role: 'system', content: '你是一个有帮助的助手' },
      { role: 'user', content: '你好，请介绍一下你自己' }
    ],
    temperature: 0.7,
    max_tokens: 1000
  });

  console.log(response.choices[0].message.content);
}

main();

​
响应示例

{
  "id": "chatcmpl-xxx",
  "object": "chat.completion",
  "created": 1234567890,
  "model": "gpt-4o",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "你好！我是一个 AI 助手，基于大型语言模型技术..."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 25,
    "completion_tokens": 100,
    "total_tokens": 125
  }
}

​
流式输出

设置 stream: true 可以启用流式输出： 
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "写一首诗"}],
    stream=True
)

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

​
多模态输入

部分模型支持图像输入： 
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "这张图片里有什么？"},
                {
                    "type": "image_url",
                    "image_url": {"url": "https://example.com/image.jpg"}
                }
            ]
        }
    ]
)

​
常见错误码

错误码说明解决方案
401API Key 无效检查 API Key 是否正确
429请求过于频繁降低请求频率或升级套餐
500服务器错误稍后重试
503服务暂时不可用稍后重试