Replit Rate Limits

Replit Rate Limits

Overview

Understand and work within Replit's resource limits: Key-Value Database size caps, Object Storage quotas, deployment compute budgets, and egress allowances. Implement rate limiting in your own app for production safety.

Prerequisites

• Replit account with active Repls
• Understanding of your current resource usage
• For rate limiting: Express or Flask app

Replit Platform Limits

Key-Value Database

Object Storage (App Storage)

PostgreSQL

Deployments

Instructions

Step 1: Monitor KV Database Usage

// Check how close you are to KV limits
import Database from '@replit/database';

async function checkKVUsage() {
  const db = new Database();
  const keys = await db.list();
  let totalSize = 0;

  for (const key of keys) {
    const value = await db.get(key);
    const valueSize = JSON.stringify(value).length;
    totalSize += key.length + valueSize;
  }

  const limitMiB = 50;
  const usedMiB = totalSize / (1024 * 1024);
  const percentUsed = (usedMiB / limitMiB * 100).toFixed(1);

  console.log(`KV Usage: ${usedMiB.toFixed(2)} MiB / ${limitMiB} MiB (${percentUsed}%)`);
  console.log(`Keys: ${keys.length} / 5,000`);

  if (parseFloat(percentUsed) > 80) {
    console.warn('WARNING: KV database above 80%. Consider migrating large values to Object Storage.');
  }
}

Step 2: Implement App-Level Rate Limiting

// src/middleware/rate-limit.ts — protect your Replit-hosted API
import { Request, Response, NextFunction } from 'express';

interface RateLimitEntry {
  count: number;
  resetAt: number;
}

const store = new Map<string, RateLimitEntry>();

export function rateLimit(opts = { windowMs: 60000, max: 100 }) {
  return (req: Request, res: Response, next: NextFunction) => {
    const key = req.headers['x-replit-user-id'] as string || req.ip;
    const now = Date.now();
    const entry = store.get(key);

    if (!entry || now > entry.resetAt) {
      store.set(key, { count: 1, resetAt: now + opts.windowMs });
      setRateLimitHeaders(res, opts.max, opts.max - 1, now + opts.windowMs);
      return next();
    }

    entry.count++;
    const remaining = Math.max(0, opts.max - entry.count);
    setRateLimitHeaders(res, opts.max, remaining, entry.resetAt);

    if (entry.count > opts.max) {
      const retryAfter = Math.ceil((entry.resetAt - now) / 1000);
      res.set('Retry-After', String(retryAfter));
      return res.status(429).json({
        error: 'Too many requests',
        retryAfter,
      });
    }

    next();
  };
}

function setRateLimitHeaders(res: Response, limit: number, remaining: number, reset: number) {
  res.set('X-RateLimit-Limit', String(limit));
  res.set('X-RateLimit-Remaining', String(remaining));
  res.set('X-RateLimit-Reset', String(Math.ceil(reset / 1000)));
}

// Clean up expired entries periodically
setInterval(() => {
  const now = Date.now();
  for (const [key, entry] of store) {
    if (now > entry.resetAt) store.delete(key);
  }
}, 60000);

Step 3: Apply Rate Limiting

import express from 'express';
import { rateLimit } from './middleware/rate-limit';

const app = express();

// Global: 100 requests per minute
app.use(rateLimit({ windowMs: 60000, max: 100 }));

// Strict: 10 per minute for write operations
app.post('/api/*', rateLimit({ windowMs: 60000, max: 10 }));

// Generous: 500 per minute for reads
app.get('/api/*', rateLimit({ windowMs: 60000, max: 500 }));

Step 4: Exponential Backoff for External APIs

// When your Replit app calls external APIs
export async function withBackoff<T>(
  fn: () => Promise<T>,
  opts = { maxRetries: 5, baseMs: 1000, maxMs: 30000 }
): Promise<T> {
  for (let attempt = 0; attempt <= opts.maxRetries; attempt++) {
    try {
      return await fn();
    } catch (err: any) {
      if (attempt === opts.maxRetries) throw err;
      const status = err.status || err.response?.status;
      if (status && status !== 429 && status < 500) throw err;

      const delay = Math.min(opts.baseMs * 2 ** attempt, opts.maxMs);
      const jitter = Math.random() * delay * 0.1;
      await new Promise(r => setTimeout(r, delay + jitter));
    }
  }
  throw new Error('Unreachable');
}

Step 5: Request Queue for Burst Protection

import PQueue from 'p-queue';

// Limit concurrent requests to external services
const queue = new PQueue({
  concurrency: 5,       // max parallel requests
  interval: 1000,       // per this window
  intervalCap: 10,      // max requests in window
});

async function rateLimitedFetch(url: string, opts?: RequestInit) {
  return queue.add(() => fetch(url, opts));
}

Error Handling

Resources

• Replit Database
• Usage-Based Billing
• p-queue

Next Steps

For security configuration, see replit-security-basics.

Source: jeremylongshore/claude-code-plugins-plus-skills → plugins/saas-packs/replit-pack/skills/replit-rate-limits/SKILL.md