SDK 调用

curl

curl https://api.123uq.com/v1/chat/completions \
  -H "Authorization: Bearer sk-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "请填写可用渠道中的准确模型名",
    "messages": [
      {"role": "user", "content": "你好，请介绍一下自己。"}
    ],
    "stream": false
  }'

Python

安装依赖：

pip install openai python-dotenv

import os

from dotenv import load_dotenv
from openai import OpenAI

load_dotenv()

client = OpenAI(
    api_key=os.environ["AI_API_KEY"],
    base_url=os.getenv("AI_BASE_URL", "https://api.123uq.com/v1"),
)

response = client.chat.completions.create(
    model=os.environ["AI_MODEL"],
    messages=[{"role": "user", "content": "你好，请介绍一下自己。"}],
)

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

Node.js

安装依赖：

npm install openai dotenv

import "dotenv/config";
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AI_API_KEY,
  baseURL: process.env.AI_BASE_URL || "https://api.123uq.com/v1",
});

const response = await client.chat.completions.create({
  model: process.env.AI_MODEL,
  messages: [{ role: "user", content: "你好，请介绍一下自己。" }],
});

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

回复正文通常位于 choices[0].message.content。开启流式输出时，将 stream 设置为 true 并逐块读取 delta.content。