API接入快速开始

# 替换YOUR_API_KEY为您的密钥
curl -X POST https://api2.laozhang.ai/v1/chat/completions -H "Content-Type: application/json" -H "Authorization: Bearer YOUR_API_KEY" -d '{"model": "gemini-3.6-flash", "messages": [{"role": "system", "content": "你是一个友好的AI助手"}, {"role": "user", "content": "用中文回答：今天天气怎么样？"}], "temperature": 0.7}'

// 安装：npm install openai
import OpenAI from 'openai';

// 初始化客户端
const client = new OpenAI({
  apiKey: process.env.LAOZHANG_API_KEY || '您的API密钥',
  baseURL: 'https://api2.laozhang.ai/v1'
});

// 流式输出示例（实时响应）
async function streamChat() {
  const stream = await client.chat.completions.create({
    model: 'gemini-3.6-flash',
    messages: [
      { role: 'system', content: '你是一个有帮助的AI助手' },
      { role: 'user', content: '请写一个简单的React组件' }
    ],
    stream: true,  // 启用流式输出
    temperature: 0.7
  });

  // 逐字输出
  for await (const chunk of stream) {
    process.stdout.write(chunk.choices[0]?.delta?.content || '');
  }
}

// 并发调用多个模型
async function compareModels(prompt) {
  const models = ['gpt-5.6', 'claude-sonnet-5', 'gemini-3.6-flash'];

  const promises = models.map(model =>
    client.chat.completions.create({
      model,
      messages: [{ role: 'user', content: prompt }],
      max_tokens: 100
    })
  );

  const results = await Promise.all(promises);
  results.forEach((result, index) => {
    console.log(`\n${models[index]}:\n${result.choices[0].message.content}`);
  });
}

// 运行示例
streamChat().catch(console.error);

# 基础调用
curl -X POST https://api2.laozhang.ai/v1/chat/completions -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"model": "gemini-3.6-flash", "messages": [{"role": "user", "content": "你好"}]}'

# 流式输出（SSE）
curl -X POST https://api2.laozhang.ai/v1/chat/completions -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"model": "claude-sonnet-5", "messages": [{"role": "user", "content": "写一个Python快速排序"}], "stream": true}'

# 调用图像生成
curl -X POST https://api2.laozhang.ai/v1/images/generations -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"model": "gpt-image-2", "prompt": "一只可爱的小猫", "n": 1, "size": "1024x1024"}'