国内使用Claude 3.7 API终极指南：六种稳定接入方案详解

import requests
import json

def query_claude(prompt):
    API_KEY = "YOUR_LAOZHANG_API_KEY"  # 替换为您的API密钥
    API_URL = "https://api.laozhang.ai/v1/chat/completions"
    
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {API_KEY}"
    }
    
    data = {
        "model": "claude-3-7-sonnet",
        "messages": [
            {"role": "user", "content": prompt}
        ],
        "max_tokens": 2000,
        "temperature": 0.7
    }
    
    try:
        response = requests.post(API_URL, headers=headers, json=data)
        response.raise_for_status()  # 检查请求是否成功
        return response.json()["choices"][0]["message"]["content"]
    except Exception as e:
        return f"API调用出错: {str(e)}"

# 使用示例
if __name__ == "__main__":
    result = query_claude("请分析人工智能在未来五年内可能的三大突破领域")
    print(result)

const axios = require('axios');

async function queryClaudeAPI(prompt) {
  const API_KEY = 'YOUR_LAOZHANG_API_KEY';  // 替换为您的API密钥
  const API_URL = 'https://api.laozhang.ai/v1/chat/completions';
  
  const data = {
    model: 'claude-3-7-sonnet',
    messages: [
      { role: 'user', content: prompt }
    ],
    max_tokens: 2000,
    temperature: 0.7
  };
  
  try {
    const response = await axios({
      method: 'post',
      url: API_URL,
      headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${API_KEY}`
      },
      data: data
    });
    
    return response.data.choices[0].message.content;
  } catch (error) {
    console.error('API调用出错:', error.response ? error.response.data : error.message);
    return `错误: ${error.message}`;
  }
}

// 使用示例
queryClaudeAPI('请详细解释量子计算的基本原理和应用前景')
  .then(result => console.log(result))
  .catch(err => console.error(err));

curl https://api.laozhang.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_LAOZHANG_API_KEY" \
  -d '{
    "model": "claude-3-7-sonnet",
    "messages": [
      {"role": "user", "content": "请撰写一份人工智能伦理规范框架，包含五大核心原则"}
    ],
    "max_tokens": 2000,
    "temperature": 0.7
  }'

import requests
import json

def query_claude_with_thinking(prompt):
    API_KEY = "YOUR_LAOZHANG_API_KEY"  # 替换为您的API密钥
    API_URL = "https://api.laozhang.ai/v1/chat/completions"
    
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {API_KEY}"
    }
    
    data = {
        "model": "claude-3-7-sonnet",
        "messages": [
            {"role": "user", "content": prompt}
        ],
        "max_tokens": 2000,
        "max_thinking_tokens": 5000,  # 启用扩展思维功能
        "temperature": 0.7
    }
    
    try:
        response = requests.post(API_URL, headers=headers, json=data)
        response.raise_for_status()
        
        # 提取思考过程和最终答案
        thinking = response.json().get("thinking", "无思考过程")
        answer = response.json()["choices"][0]["message"]["content"]
        
        return {
            "thinking": thinking,
            "answer": answer
        }
    except Exception as e:
        return {"error": f"API调用出错: {str(e)}"}

# 使用示例
if __name__ == "__main__":
    result = query_claude_with_thinking("分析比特币在未来五年可能面临的监管风险")
    
    print("思考过程:")
    print(result.get("thinking"))
    print("\n最终回答:")
    print(result.get("answer"))

import requests
import base64
import json

def analyze_image(image_path, prompt):
    API_KEY = "YOUR_LAOZHANG_API_KEY"  # 替换为您的API密钥
    API_URL = "https://api.laozhang.ai/v1/chat/completions"
    
    # 读取并编码图像
    with open(image_path, "rb") as image_file:
        base64_image = base64.b64encode(image_file.read()).decode('utf-8')
    
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {API_KEY}"
    }
    
    data = {
        "model": "claude-3-7-sonnet",
        "messages": [
            {
                "role": "user",
                "content": [
                    {
                        "type": "text",
                        "text": prompt
                    },
                    {
                        "type": "image",
                        "source": {
                            "type": "base64",
                            "media_type": "image/jpeg",  # 根据实际图像类型调整
                            "data": base64_image
                        }
                    }
                ]
            }
        ],
        "max_tokens": 2000
    }
    
    try:
        response = requests.post(API_URL, headers=headers, json=data)
        response.raise_for_status()
        return response.json()["choices"][0]["message"]["content"]
    except Exception as e:
        return f"API调用出错: {str(e)}"

# 使用示例
if __name__ == "__main__":
    result = analyze_image("path/to/your/image.jpg", "请详细分析这张图片中的内容，并指出关键元素")
    print(result)