Session Traces and Cost Controls Aid Diagnosis of AI Agent Failures
Session traces and cost controls are being highlighted as key observability techniques to diagnose AI agent failures: traces preserve execution context for post-incident debugging, while cost controls help detect tool-call loops and runaway spend. The piece, by Mark Silvester, notes these approaches help teams spot and investigate incidents without losing critical state.