๐Ÿ”งTroubleshooting

How to Fix OpenClaw Rate Limiting Errors

Advanced45-90 minutesUpdated 2025-03-01

LLM providers enforce rate limits to prevent abuse and ensure fair resource allocation. When OpenClaw exceeds these limits, you'll see 429 Too Many Requests errors. This can happen from burst traffic, aggressive polling, running multiple OpenClaw instances with the same API key, or simply hitting tier limits. This guide shows you how to implement proper retry logic, request queuing, and key distribution.

Why This Is Hard to Do Yourself

These are the common pitfalls that trip people up.

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Provider tier rate limits

Free tier: 10 req/min, Paid tier: 100 req/min, hitting caps during peak usage

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Burst traffic spikes

Sudden influx of requests overwhelming available quota

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No retry logic or exponential backoff

Failed requests not retried, or retry storms making rate limiting worse

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Multiple instances sharing one key

Load balancer or horizontal scaling using same API key, multiplying request rates

Step-by-Step Guide

Step 1

Identify which provider is rate limiting

Check logs and error responses to determine if it's Anthropic, OpenAI, or another provider.

Step 2

Check current usage against limits

Review your provider dashboard to see quota utilization and tier limits.

Step 3

Implement retry with exponential backoff

Configure OpenClaw to automatically retry failed requests with increasing delays.

Step 4

Configure request queuing and throttling

Limit concurrent requests to stay under provider rate limits.

Step 5

Distribute load across multiple API keys

Use key rotation to spread requests across multiple provider accounts.

Step 6

Set up rate limit monitoring and alerts

Track rate limit hits and get notified before hitting hard limits.

Constant Rate Limit Headaches?

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Frequently Asked Questions