Endpoint
POST https://api.littlecold.cn/v1/chat/completions
请求头
| 名称 | 值 |
|---|---|
Authorization | Bearer $LITTLEAPI_KEY |
Content-Type | application/json |
请求示例
curl https://api.littlecold.cn/v1/chat/completions \
-H "Authorization: Bearer $LITTLEAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.5",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "你好!"}
],
"stream": false
}'
from openai import OpenAI
client = OpenAI(
api_key="$LITTLEAPI_KEY",
base_url="https://api.littlecold.cn/v1",
)
resp = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "你好!"}],
)
print(resp.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.LITTLEAPI_KEY,
baseURL: "https://api.littlecold.cn/v1",
});
const resp = await client.chat.completions.create({
model: "gpt-4o-mini",
messages: [{ role: "user", content: "你好!" }],
});
console.log(resp.choices[0].message.content);
流式输出
在请求体中设置"stream": true,即可以 SSE 方式接收增量输出。
请求体与返回体与 OpenAI 官方一致,可直接复用现有 OpenAI SDK,只需修改
base_url 和 API Key。