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Replit rate limits

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/saas-packs/replit-pack/skills/replit-rate-limits

'Handle Replit resource limits: KV database caps, deployment quotas, and request throttling.From its SKILL.md

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill replit-rate-limits

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SKILL.md

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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

LimitValue
Total storage50 MiB (keys + values combined)
Maximum keys5,000
Key size1,000 bytes
Value size5 MiB per value

Object Storage (App Storage)

LimitValue
Object sizeConfigurable per bucket
Bucket countPer Repl (auto-provisioned)
RateThrottled at high request volume

PostgreSQL

LimitValue
StoragePlan-dependent (1-10+ GB)
ConnectionsPooled, plan-dependent
Dev + ProdSeparate databases auto-provisioned

Deployments

ResourceAutoscaleReserved VM
Scale behavior0 to N based on trafficAlways-on, fixed size
Min costPay per request$0.20/day (~$6.20/month)
Max resourcesPlan-dependentUp to 4 vCPU, 16 GiB RAM
Egress$0.10/GiB over allowance$0.10/GiB over allowance

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

ErrorCauseSolution
KV Max storage exceededOver 50 MiBMigrate large values to Object Storage
KV Max keys exceededOver 5,000 keysArchive old data, use prefix namespacing
429 from your APIClient hitting your limitsReturn Retry-After header
Object Storage throttledToo many rapid requestsAdd client-side request queue
High egress costsLarge responsesCompress, paginate, or cache at CDN

Resources

Next Steps

For security configuration, see replit-security-basics.

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