快速开始

1. 获取 API Key

登录 丹迪智能 控制台，创建 API Key。Key 仅显示一次，请妥善保存。

2. cURL 示例

curl -X POST https://api.dandylee.com/v1/chat/completions \
  -H "Authorization: Bearer sk-aihub-xxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-chat",
    "messages": [{"role": "user", "content": "你好"}],
    "max_tokens": 100
  }'

3. Python SDK

使用 OpenAI Python SDK，只需修改 base_url：

from openai import OpenAI

client = OpenAI(
    api_key="sk-aihub-xxxx",
    base_url="https://api.dandylee.com/v1"
)

response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[{"role": "user", "content": "你好"}],
    max_tokens=100
)

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

4. Node.js SDK

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'sk-aihub-xxxx',
  baseURL: 'https://api.dandylee.com/v1',
});

const response = await client.chat.completions.create({
  model: 'deepseek-chat',
  messages: [{ role: 'user', content: '你好' }],
  max_tokens: 100,
});

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

5. 流式输出

# Python
stream = client.chat.completions.create(
    model="deepseek-chat",
    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="")

6. 查看可用模型

curl https://api.dandylee.com/v1/models \
  -H "Authorization: Bearer sk-aihub-xxxx"