Setup Rate Limiting

Implement comprehensive API rate limiting with advanced control mechanisms: $ARGUMENTS

Current API State

• Framework detection: @package.json or @requirements.txt (Express, FastAPI, Spring Boot, etc.)
• Existing rate limiting: !grep -r "rate.limit\|throttle\|rateLimit" src/ 2>/dev/null | wc -l
• Redis availability: !redis-cli ping 2>/dev/null || echo "Redis not available"
• API endpoints: !grep -r "route\|endpoint\|@app\\.route" src/ 2>/dev/null | wc -l

Task

Implement production-ready rate limiting system with sophisticated algorithms and user policies:

Rate Limit Type: Use $ARGUMENTS to focus on API rate limiting, authentication limiting, file upload controls, or database access limiting

Rate Limiting Architecture:

1. Algorithm Implementation - Token bucket, sliding window, fixed window, leaky bucket algorithms
2. User Policies - Tier-based limits, authenticated vs anonymous, user-specific quotas, IP-based controls
3. Storage Backend - Redis integration, distributed rate limiting, persistence strategies, failover mechanisms
4. Endpoint Configuration - Per-route limits, method-specific rules, dynamic configuration, A/B testing
5. Monitoring & Analytics - Usage tracking, abuse detection, performance metrics, alerting systems
6. Bypass Mechanisms - Whitelist management, internal request handling, emergency overrides

Advanced Features: Adaptive rate limiting, geo-based controls, API key management, quota systems, abuse prevention.

Production Readiness: High availability, performance optimization, security controls, comprehensive monitoring.

Output: Complete rate limiting system with intelligent policies, comprehensive monitoring, and advanced abuse prevention capabilities.