ModelRefs / Retry Logic — AI Glossary
Retry Logic — AI Glossary
Agent-level error handling that retries failed tool calls with corrected arguments after parsing error messages. Maximum retry limits prevent infinite loops.
Overview
Tool calls fail: malformed JSON, invalid parameter values, API errors, timeouts. Robust agents catch tool errors, pass the error message back as a tool result, and allow the LLM to self-correct its tool call arguments. Exponential backoff handles transient API errors. Maximum retry limits prevent infinite loops.
Reference details
| Topic | agents |
|---|---|
| Last reviewed | 2026-06-24 |
Related terms
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Frequently asked questions
What is Retry Logic?
Agent-level error handling that retries failed tool calls with corrected arguments after parsing error messages.
What concepts are related to Retry Logic?
Closely related concepts include tool result, retry with backoff, stopping condition.