AI Agent Architecture — ReAct, Memory, Planning and Multi-Agent Systems · Tool-Augmented LLM — Tools, Functions and the Environment
Tool Error Handling and Function Name Hallucinations
Tool-Augmented LLM — Tools, Functions and the Environment
Introduction
Even a well-designed tool-augmented LLM system will encounter three error classes: external errors (network, API rate limit, timeout), model-side errors (function name hallucinations, bad arguments, unnecessary calls), and logic errors (loops, conflicting calls). This lesson analyses defensive handling strategies for each error class, the self-correction pattern through a feedback loop, hallucination classification for functions, and methods for reducing them in system architecture.