Real-Time Detection and Repair of LLM Agent Failures
LLM agents fail mid-episode -- they loop, cascade tool errors, drift off goal, fabricate results, or silently absorb corrupted content -- and the standard remedy, judging every step with a second LLM, costs more than the agent itself. We ask how much detection is achievable from observable step telemetry alone, using monitors costing microseconds per step and trained only on healthy runs. On…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
