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API Rate Limiting

تحديد معدل API (Rate Limiting)

Intermediatebackend1 min read
rate limitthrottlingrequest throttleapi quota429 too many requests
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Definition

A technique to limit how many requests a client can make to an API in a given time window.

تقنية للحد من عدد الطلبات التي يمكن للعميل تقديمها إلى API في نافذة زمنية محددة.

Why It Matters

The 404Fault knowledge graph endpoint is public and called on every term page. Without rate limiting, a single script could call /api/knowledge-graph/term/* thousands of times and run up Firebase/Vercel costs.

نقطة نهاية الرسم البياني للمعرفة في 404Fault عامة وتُستدعى في كل صفحة مصطلح. بدون تحديد المعدل، يمكن لسكريبت واحد استدعاء /api/knowledge-graph/term/* آلاف المرات وتضخيم تكاليف Firebase/Vercel.

Full Definition

Rate limiting prevents API abuse by capping requests from a single client (identified by IP or user ID) to N requests per time window. Exceeded limits return HTTP 429 Too Many Requests. Common strategies: token bucket, sliding window, fixed window. Vercel's KV and Upstash Redis provide distributed rate-limiting that works across serverless function instances. Critical for any public-facing API.
تحديد المعدل يمنع إساءة استخدام API بتحديد الطلبات من عميل واحد (محدد بعنوان IP أو ID المستخدم) بـN طلب لكل نافذة زمنية. الحدود المتجاوزة تُعيد HTTP 429. Vercel KV وUpstash Redis يوفران تحديد معدل موزعًا يعمل عبر مثيلات الدوال serverless.

Example Usage

“// Using Upstash Ratelimit: const { success } = await ratelimit.limit(req.ip ?? 'unknown'); if (!success) return NextResponse.json({ error: 'Rate limited' }, { status: 429 });”

“// باستخدام Upstash Ratelimit: const { success } = await ratelimit.limit(req.ip ?? 'unknown'); if (!success) return NextResponse.json({ error: 'Rate limited' }, { status: 429 });”

Knowledge Graph

AI Builder Tips

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Avoid these mistakes when using API Rate Limiting:

1

Rate limiting only by IP — authenticated users should be rate-limited by user ID, not IP (VPNs/NAT distort IP counts)

2

Not returning Retry-After header with 429 — clients don't know when to retry

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Help me build a project using API Rate Limiting.

Explain:
1. What is API Rate Limiting and why it matters
2. The core architecture and required tools
3. Step-by-step implementation plan
4. Common mistakes to avoid: Rate limiting only by IP — authenticated users should be rate-limited by user ID, not IP (VPNs/NAT distort IP counts), Not returning Retry-After header with 429 — clients don't know when to retry
5. Best practices and production tips

Official Resources

Official Documentation
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