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upstash-ratelimit-js

Implements Redis-backed rate limiting in TypeScript using the Upstash Ratelimit SDK.

2|1|Updated Jun 9, 2026
Search Tags:#typescript#serverless#redis#rate limiting#throttling#upstash#deny list
One-click install
npx skills add https://github.com/zester4/zilmate --skill upstash-ratelimit-js-zester4
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: upstash-ratelimit-js
Source: https://github.com/zester4/zilmate/tree/main/.agents/skills/upstash-ratelimit-js
Command: npx skills add https://github.com/zester4/zilmate --skill upstash-ratelimit-js-zester4

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @upstash/ratelimit, @upstash/redis.

What problem does it solve? It guides developers through adding distributed rate limiting to TypeScript/JavaScript applications using the Upstash Ratelimit SDK, covering algorithm selection, cost implications, and abuse protection without guesswork. ## Core Features & Use Cases - Algorithm Guidance: Explains Fixed Window, Sliding Window, and Token Bucket algorithms with pitfalls and selection criteria for single-region and multi-region setups. - Full Method Reference: Documents limit, blockUntilReady, resetUsedTokens, getRemaining, and dynamic limit methods with edge-runtime handling of pending promises. - Cost & Protection Planning: Details Redis command costs per algorithm and feature, plus deny lists and automatic IP protection for traffic shaping. - Use Case: When building a serverless API on Vercel or Cloudflare, use this Skill to configure a sliding-window limiter with analytics and deny-list protection while estimating Redis command costs. ## Quick Start Ask the assistant to set up an Upstash sliding-window rate limiter in TypeScript that allows 10 requests per 10 seconds per user.

Frequently Asked Questions about upstash-ratelimit-js

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up rate limiting with Upstash Redis in TypeScript?▼

Install @upstash/ratelimit and @upstash/redis, create a Redis client with your URL and token, then instantiate a Ratelimit with an algorithm like Ratelimit.slidingWindow(10, "10 s"). Call limiter.limit(identifier) and check the success field to allow or reject requests.

Which rate limiting algorithm should I use: fixed window, sliding window, or token bucket?▼

Fixed window is cheapest but allows boundary bursts. Sliding window smooths boundaries but costs more Redis commands. Token bucket handles controlled bursts well but is not supported in multi-region setups.

Does Upstash Ratelimit work in serverless and edge runtimes?▼

Yes, but you must handle the pending promise returned by limit() using context.waitUntil(pending) so analytics and multi-region sync complete. Ephemeral caching also requires creating the cache outside the serverless handler.

How do I block malicious IPs with Upstash Ratelimit?▼

Set enableProtection: true and pass ip, userAgent, or country to limit(). The SDK supports manual deny lists and an automatic IP deny list refreshed daily from open-source abuse lists, with exact-match checking only.

Why is my rate limiter using more Redis commands than expected?▼

Sliding window is the most expensive algorithm, and features like deny lists, analytics, and dynamic limits each add commands per call. Multi-region setups multiply write commands by the number of read regions.

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