Robust Agent Compensation (RAC): Teaching AI Agents to Compensate

In three linesRAC (Robust Agent Compensation) is a log-based recovery paradigm integrated into agent frameworks (LangGraph, LangChain) to prevent unintended side effects. Requires no code changes. Results: 1.5-8X better latency and token efficiency vs state-of-the-art LLM recovery approaches on τ-bench and REALM-Bench.

Summary generated by Claude — human-verified