Replit rate limits
'Handle Replit resource limits: KV database caps, deployment quotas, and request throttling.From its 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
| Limit | Value |
|---|---|
| Total storage | 50 MiB (keys + values combined) |
| Maximum keys | 5,000 |
| Key size | 1,000 bytes |
| Value size | 5 MiB per value |
Object Storage (App Storage)
| Limit | Value |
|---|---|
| Object size | Configurable per bucket |
| Bucket count | Per Repl (auto-provisioned) |
| Rate | Throttled at high request volume |
PostgreSQL
| Limit | Value |
|---|---|
| Storage | Plan-dependent (1-10+ GB) |
| Connections | Pooled, plan-dependent |
| Dev + Prod | Separate databases auto-provisioned |
Deployments
| Resource | Autoscale | Reserved VM |
|---|---|---|
| Scale behavior | 0 to N based on traffic | Always-on, fixed size |
| Min cost | Pay per request | $0.20/day (~$6.20/month) |
| Max resources | Plan-dependent | Up 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
| Error | Cause | Solution |
|---|---|---|
KV Max storage exceeded | Over 50 MiB | Migrate large values to Object Storage |
KV Max keys exceeded | Over 5,000 keys | Archive old data, use prefix namespacing |
| 429 from your API | Client hitting your limits | Return Retry-After header |
| Object Storage throttled | Too many rapid requests | Add client-side request queue |
| High egress costs | Large responses | Compress, paginate, or cache at CDN |
Resources
Next Steps
For security configuration, see replit-security-basics.
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