Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Apr 13, 2026 · Artificial Intelligence

Turning ReAct from Demo to Production: Handling Failures, Loops, and Token Budgets

This article explains how to upgrade a ReAct agent from a proof‑of‑concept to a production‑ready system by classifying tool failures, detecting repeated search loops, managing token budgets, and adding structured logging, complete with Python implementations and practical interview guidance.

Agent EngineeringLLMLoop Detection
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Turning ReAct from Demo to Production: Handling Failures, Loops, and Token Budgets