Robots Atlas>ROBOTS ATLAS

AI Agent Architecture โ€” ReAct, Memory, Planning and Multi-Agent Systems ยท ReAct โ€” the Reasoning and Acting Loop

Bounded ReAct in production โ€” max_steps, infinite loop detection, error trace as observation

ReAct โ€” the Reasoning and Acting Loop

Introduction

Academic ReAct assumes termination always happens via a Finish action. Production requires hard guarantees: max_steps as a hard ceiling, infinite loop detection (repeated Action-Observation pairs), error trace routing (tool errors return as Observations rather than crashing the agent), graceful degradation, and observability through structured reasoning traces. This lesson builds a production-grade bounded ReAct runner from pseudo-code to concrete architectural decisions โ€” no LangChain, no AutoGen, only Python-like pseudo-code and a pattern library.