Qwen API

curl https://runapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "qwen3-next-80b-a3b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "分析这个大型代码库，找出处理请求超时的位置，并在各服务间补充一致的重试逻辑。"
    }
  ]
}'

from openai import OpenAI

client = OpenAI(
    base_url="https://runapi.ai/v1",
    api_key="your-runapi-key"
)

response = client.chat.completions.create(
    model="qwen3-next-80b-a3b-instruct",
    messages=[{"role": "user", "content": "分析这个大型代码库，找出处理请求超时的位置，并在各服务间补充一致的重试逻辑。"}]
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://runapi.ai/v1",
  apiKey: "your-runapi-key"
});

const response = await client.chat.completions.create({
  model: "qwen3-next-80b-a3b-instruct",
  messages: [{ role: "user", content: "分析这个大型代码库，找出处理请求超时的位置，并在各服务间补充一致的重试逻辑。" }]
});