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@suckless/limiter

v0.6.0

Published

Token bucket rate limiter

Readme

@suckless/limiter

Token bucket rate limiter. Zero dependencies, runtime-agnostic, pluggable storage.

Install

npm install @suckless/limiter

Usage

import { createLimiter, memoryAdapter } from "@suckless/limiter"

const limiter = createLimiter(100, 60_000, memoryAdapter()) // 100 requests per minute

const { ok, remaining, retryAfter } = await limiter.check("user:123")
if (!ok) {
	// retry after `retryAfter` ms
}

With middleware

import { createLimiter, memoryAdapter } from "@suckless/limiter"
import { parse } from "@suckless/duration"
import type { Middleware } from "@suckless/middleware"

const limiter = createLimiter(100, parse("1m"), memoryAdapter())

const rateLimit: Middleware<Request, Response> = async (req, next) => {
	const ip = req.headers.get("x-forwarded-for") ?? "unknown"
	const { ok, retryAfter } = await limiter.check(ip)
	if (!ok) {
		return new Response("Too Many Requests", {
			status: 429,
			headers: { "Retry-After": String(Math.ceil(retryAfter / 1000)) },
		})
	}
	return next(req)
}

Custom adapter

By default, state is stored in memory with automatic stale-bucket sweeping. Pass a custom LimiterAdapter for external storage (Redis, database, etc.):

import {
	createLimiter,
	type LimiterAdapter,
	type Bucket,
} from "@suckless/limiter"

const redisAdapter: LimiterAdapter = {
	async get(key) {
		const data = await redis.get(`limiter:${key}`)
		return data ? JSON.parse(data) : undefined
	},
	async set(key, bucket) {
		await redis.set(`limiter:${key}`, JSON.stringify(bucket))
	},
	async delete(key) {
		await redis.del(`limiter:${key}`)
	},
	async [Symbol.asyncDispose]() {
		await redis.quit()
	},
}

const limiter = createLimiter(100, 60_000, redisAdapter)

How it works

Uses a token bucket algorithm. Each key gets a bucket with max tokens. Tokens refill at a constant rate of max / window per millisecond. Each check consumes one token.

This allows short bursts up to max while enforcing the average rate over the window.

API

createLimiter(max, window, adapter): Limiter

  • max — maximum tokens (requests) per window
  • window — time window in milliseconds
  • adapter — a LimiterAdapter storage backend

limiter.check(key): Promise<CheckResult>

Consumes a token and returns:

  • ok — whether the request is allowed
  • remaining — tokens left after this check
  • retryAfter — milliseconds until a token is available (0 if ok)

limiter.reset(key): Promise<void>

Clears the bucket for a key, restoring it to full capacity.

memoryAdapter(sweepIntervalMs?): LimiterAdapter

In-memory adapter with automatic stale-bucket sweeping.

Cleanup

Stale buckets are swept automatically. The limiter implements AsyncDisposable for cleanup:

await using limiter = createLimiter(100, 60_000, memoryAdapter())

License

MIT