Add Rate Limiting to API with AI Prompts

Add rate limiting to my API endpoints.

Requirements:

1. Limit requests per IP address (for unauthenticated requests)
2. Limit requests per user/API key (for authenticated requests)
3. Return proper 429 status when limit exceeded
4. Include rate limit headers in responses
5. Store rate limit state (Redis or in-memory)

Default limits:

• Unauthenticated: 60 requests per minute
• Authenticated: 1000 requests per minute
• Specific endpoints may have custom limits

Response headers to include:

• X-RateLimit-Limit: total allowed
• X-RateLimit-Remaining: remaining requests
• X-RateLimit-Reset: when limit resets (Unix timestamp)
• Retry-After: seconds to wait (when limited)

Create reusable middleware that can be configured per route.

Add rate limiting to my Next.js API routes.

For both App Router and Pages Router:

1. Create a rate limiting utility using Upstash Redis or in-memory
2. Support edge runtime (for middleware) and Node runtime
3. Create higher-order function for Pages Router
4. Create helper for App Router route handlers
5. Support Vercel's x-real-ip header for IP detection

Usage should be simple:

• Pages Router: export default withRateLimit(handler, { limit: 10 })
• App Router: await rateLimit(request, { limit: 10 })

Handle serverless cold starts (in-memory won't persist between invocations).

Add rate limiting to my Express.js API.

Options:

1. Use express-rate-limit with Redis store
2. Implement custom rate limiter with sliding window

Requirements:

• Global rate limit for all routes
• Stricter limits for auth endpoints (login, register)
• Skip rate limiting for health checks
• Whitelist certain IPs (internal services)
• Different limits by user tier (free vs paid)

Configuration:

• Development: relaxed limits for testing
• Production: strict limits

Also add request throttling for expensive operations.

Implement tiered rate limiting based on user subscription.

Tiers:

• Free: 100 requests/hour
• Pro: 1000 requests/hour
• Enterprise: 10000 requests/hour

Requirements:

1. Look up user tier from database/cache
2. Apply appropriate limit based on tier
3. Return tier info in response headers
4. Track usage for billing/analytics
5. Grace period for temporary overages

Also implement:

• Burst allowance (temporary spike above limit)
• Separate limits for different endpoint types
• Usage dashboard data collection

Add different rate limits for different types of endpoints.

Categories:

1. Auth endpoints (login, register): Very strict (5/minute per IP)
2. Read endpoints: Moderate (100/minute)
3. Write endpoints: Stricter (30/minute)
4. Search/expensive: Very strict (10/minute)
5. Public/cached: Lenient (1000/minute)

Implement:

• Rate limit decorator/middleware that accepts config
• Configuration file for all endpoints
• Easy override for specific routes
• Logging of rate limit violations
• Alerting for sustained abuse

Improve how my API handles and communicates rate limits.

Server-side:

1. Return 429 status code when limited
2. Include helpful error message with limit details
3. Add Retry-After header with wait time
4. Log rate limit events for monitoring

Client-side guidance:

1. Explain exponential backoff strategy
2. Document rate limit headers
3. Provide code examples for handling 429

Response format: { "error": "rate_limit_exceeded", "message": "Too many requests. Please wait 30 seconds.", "retryAfter": 30, "limit": 100, "remaining": 0, "reset": 1706745600 }