How to Break Through Claude 3.7 Rate Limits: Complete Guide 2025

import requests

def call_claude_37_unlimited(prompt, max_tokens=4000):
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer YOUR_LAOZHANG_API_KEY"
    }
    
    data = {
        "model": "claude-3-7-sonnet",
        "messages": [
            {"role": "user", "content": prompt}
        ],
        "max_tokens": max_tokens,
        "temperature": 0.7,
        "stream": False
    }
    
    response = requests.post(
        "https://api.laozhang.ai/v1/chat/completions",
        headers=headers,
        json=data
    )
    
    return response.json()["choices"][0]["message"]["content"]

# Example usage - no rate limits!
result = call_claude_37_unlimited(
    "Generate a complete React application with authentication, 
     routing, and database integration. Include all necessary 
     components and explain the architecture."
)
print(result)
    

const axios = require('axios');

async function enhancedClaudeCall(prompt, thinking_budget = 10000) {
  const response = await axios({
    method: 'post',
    url: 'https://api.laozhang.ai/v1/chat/completions',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': `Bearer YOUR_LAOZHANG_API_KEY`
    },
    data: {
      model: 'claude-3-7-sonnet',
      messages: [
        { 
          role: 'system', 
          content: 'Take your time to think through this problem step by step.' 
        },
        { role: 'user', content: prompt }
      ],
      max_tokens: 8000,
      max_thinking_tokens: thinking_budget,
      temperature: 0.3
    }
  });
  
  return response.data.choices[0].message.content;
}

// Complex reasoning with unlimited thinking tokens
const result = await enhancedClaudeCall(
  "Design a scalable microservices architecture for a fintech application handling 1M+ transactions daily. Include security considerations, data consistency strategies, and monitoring solutions."
);
    

# Example: Using Cursor with unlimited Claude access
curl -X POST "https://api.cursor.sh/v1/chat" \
  -H "Authorization: Bearer YOUR_CURSOR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-3.7-sonnet",
    "messages": [{"role": "user", "content": "Your complex query here"}],
    "stream": true
  }'
    

class MultiProviderClaudeClient:
    def __init__(self):
        self.providers = [
            {'name': 'laozhang', 'endpoint': 'https://api.laozhang.ai/v1/chat/completions', 'priority': 1},
            {'name': 'anthropic', 'endpoint': 'https://api.anthropic.com/v1/messages', 'priority': 2},
            {'name': 'bedrock', 'endpoint': 'https://bedrock-runtime.us-east-1.amazonaws.com', 'priority': 3}
        ]
        
    async def intelligent_routing(self, prompt, complexity_score):
        if complexity_score > 8:  # Complex tasks
            return await self.call_provider('laozhang', prompt)
        elif complexity_score > 5:  # Medium tasks
            return await self.try_with_fallback(prompt)
        else:  # Simple tasks
            return await self.call_provider('anthropic', prompt)
    
    async def try_with_fallback(self, prompt):
        for provider in sorted(self.providers, key=lambda x: x['priority']):
            try:
                return await self.call_provider(provider['name'], prompt)
            except RateLimitError:
                continue
        raise Exception("All providers exhausted")