代码示例
以下示例使用 Lazu 托管版 Base URL。自部署时,请替换成你自己的 API 域名。
OpenAI 兼容对话
Python
from openai import OpenAI
client = OpenAI(
base_url="https://api.lazu.ai/v1",
api_key="YOUR_LAZU_KEY",
)
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{"role": "system", "content": "你是一个有帮助的助手。"},
{"role": "user", "content": "用一段话解释模型路由。"},
],
)
print(response.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.lazu.ai/v1",
apiKey: process.env.LAZU_API_KEY,
});
const response = await client.chat.completions.create({
model: "gpt-4o-mini",
messages: [{ role: "user", content: "Hello from Lazu" }],
});
console.log(response.choices[0].message.content);流式响应
stream = client.chat.completions.create(
model="claude-sonnet-4-6",
messages=[{"role": "user", "content": "写一份简短部署 checklist。"}],
stream=True,
)
for chunk in stream:
delta = chunk.choices[0].delta.content
if delta:
print(delta, end="", flush=True)模型发现
curl https://api.lazu.ai/api/models/catalog \
-H "Authorization: Bearer YOUR_LAZU_KEY"