How to Handle Rate Limits Across OpenClaw Channels
Every messaging platform enforces rate limits: Slack allows 1 message per second, WhatsApp limits template messages, Discord restricts burst sending. This intermediate guide shows you how to configure OpenClaw's rate limiting system to handle per-platform limits, message queuing, retry logic, and overflow scenarios.
Why This Is Hard to Do Yourself
These are the common pitfalls that trip people up.
Per-platform limits vary
Slack, WhatsApp, Discord, Telegram all have different rate limits. A single configuration doesn't work across platforms.
Burst vs sustained limits
Some platforms allow bursts of messages but throttle sustained sending. Others limit both. Configuration must account for both.
Retry logic complexity
When rate limited, should you retry immediately, use exponential backoff, or drop the message? Different scenarios need different strategies.
Monitoring rate limit hits
Without monitoring, you won't know when you're hitting rate limits. Logging and metrics are essential for diagnosing issues.
Step-by-Step Guide
Understand per-platform rate limits
Configure message queuing
Warning: Memory queues are lost on restart. Use Redis or Postgres for production to persist queued messages.
Set up per-channel rate limiters
Configure retry logic with backoff
Set up overflow handling
Warning: Dropping messages means users don't receive responses. Always configure notifications or fallback channels.
Monitor rate limit hits
Rate Limit Issues Cause Message Loss
Per-platform limits, queuing strategies, retry logic, overflow handling, monitoring โ our integration experts configure rate limiting systems that prevent message loss and maintain service quality across all channels.
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