Agent Retry Policy Guide: Configure Per Tool, Not Globally
blaizedsouza · x · 2026-08-23
Developer AiCamila shares best practices for retry policies in AI agent production environments. The core argument is that using the same retry rule for every tool leads to double charging or missed recovery opportunities; policies should be configured independently per tool.
Retry Policy Cheatsheet:
- Retry only when the error is retryable.
- Bound the retry count.
- Use backoff between attempts.
- Never retry irreversible writes.
- Keep idempotency keys on write retries.
- Stop retrying when the deadline is near.
The core principle is that "Retry is a tool specific decision." Pro tip: Read tools and write tools almost never share the same policy.
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