API 文档

领风算力平台兼容 OpenAI API 格式，可使用任何 OpenAI SDK 直接接入

1. 获取 API Key

登录控制台后，在 API Keys 页面点击「生成新 Key」即可获取。

Key 格式：sk-lf-xxxxxxxxxxxx

Base URL:https://api.lingfengtoken.com/v1

2. 发起请求

cURL

bash

curl https://api.lingfengtoken.com/v1/chat/completions \
  -H "Authorization: Bearer sk-lf-xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.4",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "你好"}
    ],
    "stream": true
  }'

Python (OpenAI SDK)

python

from openai import OpenAI

client = OpenAI(
    api_key="sk-lf-xxxxxxxxxxxx",
    base_url="https://api.lingfengtoken.com/v1"
)

response = client.chat.completions.create(
    model="gpt-5.4",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "你好"}
    ],
    stream=True
)

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

Node.js (OpenAI SDK)

javascript

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'sk-lf-xxxxxxxxxxxx',
  baseURL: 'https://api.lingfengtoken.com/v1',
});

const stream = await client.chat.completions.create({
  model: 'gpt-5.4',
  messages: [
    { role: 'system', content: 'You are a helpful assistant.' },
    { role: 'user', content: '你好' },
  ],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || '');
}

3. 响应格式

json

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "model": "gpt-5.4",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "你好！有什么可以帮你的吗？"
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 15,
    "completion_tokens": 8,
    "total_tokens": 23
  }
}