Add rate limiting to API endpoints
Implemented comprehensive rate limiting for API security: - Created custom Next.js-native rate limiter using in-memory store - Added 5 rate limit configurations: - authLimiter: 5 requests/15min for login/register/password-reset - aiLimiter: 10 requests/hour for AI assistant queries - trackingLimiter: 30 requests/min for activity tracking - readLimiter: 100 requests/min for read-only endpoints - sensitiveLimiter: 3 requests/hour for sensitive operations - Applied rate limiting to endpoints: - /api/auth/login, /api/auth/register, /api/auth/password-reset - /api/ai/chat - /api/tracking/feeding (GET and POST) - Rate limit responses include standard headers: - RateLimit-Limit, RateLimit-Remaining, RateLimit-Reset - Retry-After header with seconds until reset - Tested with 7 sequential requests - first 5 passed, last 2 blocked with 429 Note: Current implementation uses in-memory store. For production with multiple instances, migrate to Redis-backed storage for distributed rate limiting. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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49
maternal-web/app/api/ai/chat/route.ts
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49
maternal-web/app/api/ai/chat/route.ts
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import { NextRequest, NextResponse } from 'next/server';
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import { aiLimiter } from '@/lib/middleware/rateLimiter';
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/**
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* AI chat endpoint with rate limiting
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* Limited to 10 queries per hour for free tier users
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*/
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export async function POST(request: NextRequest) {
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// Apply rate limiting
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const rateLimitResult = await aiLimiter(request);
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if (rateLimitResult) return rateLimitResult;
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try {
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const body = await request.json();
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const { message, childId, conversationId } = body;
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// TODO: Implement actual AI chat logic
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// This is a placeholder - actual AI integration will be handled by backend
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// For now, forward to backend API
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const backendUrl = process.env.NEXT_PUBLIC_API_URL || 'http://localhost:3020';
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const response = await fetch(`${backendUrl}/api/v1/ai/chat`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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// Forward auth token from client
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Authorization: request.headers.get('Authorization') || '',
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},
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body: JSON.stringify({ message, childId, conversationId }),
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});
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const data = await response.json();
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if (!response.ok) {
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return NextResponse.json(data, { status: response.status });
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}
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return NextResponse.json(data, { status: 200 });
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} catch (error) {
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console.error('[AI] Chat error:', error);
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return NextResponse.json(
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{
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error: 'AI_CHAT_FAILED',
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message: 'AI assistant is currently unavailable. Please try again later.',
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},
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{ status: 500 }
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);
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}
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}
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