Keep an agent fleet alive through rate limits
Classify errors, use jittered backoff with a retry budget, one shared circuit breaker, and checkpoint-and-park instead of crash.
Prompt for your agent
Goal: Stop API rate limits and outages from killing my 24/7 coding agents. Setup: agents used in source: Claude; tools/MCPs stated: Python. Steps: 1. Classify errors before retrying (rate limit vs. overload vs. real failure). 2. Use exponential backoff with full jitter and a retry budget; honour retry-after. 3. Share one circuit breaker across the fleet so agents don’t all probe a struggling provider. 4. When a task runs out of budget, write a checkpoint and park it instead of failing. Rules: ask me before anything irreversible (sending, posting, paying, deleting); don’t invent data, results or tools I haven’t given you; tell me what you couldn’t verify. Based on: yureki_lab — https://dev.to/yureki_lab/how-i-made-my-autonomous-coding-agent-survive-api-rate-limits-and-outages-3912
Steps are from the source. Includes a “Based on” credit line.
I tried this
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Agents, models and tools only what the source states
- Agents
- Claude
- Tools
- Python
Sources & credit
- yureki_lab @yureki_lab primaryDEV post · 6 Oct 2026https://dev.to/yureki_lab/how-i-made-my-autonomous-coding-agent-survive-api-rate-limits-and-outages-3912