接入文档

Authorization: Bearer sk-xl-xxxxxxxxxxxxxxxx
Content-Type: application/json

curl https://xunliu.fun/v1/chat/completions \
  -H "Authorization: Bearer $XUNLIU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen3.8-Max",
    "messages": [
      {"role": "system", "content": "你是一个简洁的技术助手。"},
      {"role": "user", "content": "用一句话解释什么是向量数据库。"}
    ],
    "temperature": 0.7,
    "max_tokens": 512
  }'

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://xunliu.fun/v1",
    api_key=os.environ["XUNLIU_API_KEY"],
)

resp = client.chat.completions.create(
    model="Qwen3.8-Max",
    messages=[{"role": "user", "content": "你好，介绍一下你自己"}],
)

print(resp.choices[0].message.content)
print(resp.usage)   # 输入/输出 token 用量，按此扣费

import OpenAI from "openai";

const ai = new OpenAI({
  baseURL: "https://xunliu.fun/v1",
  apiKey: process.env.XUNLIU_API_KEY,
});

const res = await ai.chat.completions.create({
  model: "DeepSeek-V4.1-Flash",
  messages: [{ role: "user", content: "Hello!" }],
});

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

stream = client.chat.completions.create(
    model="Kimi-K3.1-Pro",
    messages=[{"role": "user", "content": "写一首关于下雨的五言绝句"}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta
    reasoning = getattr(delta, "reasoning_content", None)
    if reasoning:
        print(reasoning, end="", flush=True)   # 思考过程
    if delta.content:
        print(delta.content, end="", flush=True)  # 正式回答

curl https://xunliu.fun/v1/models \
  -H "Authorization: Bearer $XUNLIU_API_KEY"