Retry Storm Cost Brake: A 6-Point Checklist for Capping LLM Retry Spend
blaizedsouza · x · 2026-09-29
- A practitioner shares a production checklist for putting a "money brake" on retry storms in AI stacks.
- Core principle: every retry is a new purchase — budget it.
- The six rules: cap retries per run, cap retry spend per skill per minute, add jitter so storms don't sync, fail after the brake trips, page when it trips often, and fix the dependency instead of raising the cap.
- Pro tip: model timeouts that retry on the same hot model multiply the worst minute.
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