This guide provides Python code to prevent AI agents from entering infinite loops. It introduces a `LoopGuard` class that implements a step cap, detects repeated tool calls, and identifies when an agent is no longer making progress. The code aims to provide a cleaner stop with a reason, rather than a generic error, by adding custom logic around agent execution. AI
IMPACT Provides developers with practical code to enhance the reliability and usability of AI agents by preventing common failure modes.
RANK_REASON The item describes a specific code implementation for improving existing AI agent frameworks, rather than a new frontier model release or significant industry event.
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