agent-introspection-debugging

Agent introspection debugging stops repeated failures and token burn by capturing error evidence, diagnosing likely causes through pattern mapping, and applying the smallest safe recovery action with safety boundaries before retrying.

Agent self-debugging is a four-phase loop that captures failure states, diagnoses root causes from observed patterns like context overflow or state drift, attempts contained recovery, and produces a structured introspection report for handoff.

Diagnose context overflow and prompt drift by mapping observed failure patterns to likely causes and checks, capturing the error, tool sequence, goal context, and environment assumptions before attempting any blind recovery actions.

You can generate a structured, human-readable Agent Self-Debug Report covering the failure, hypothesis, recovery action, and next steps, enabling seamless escalation or follow-up by a human or next agent.

This agent debugging workflow applies to environment or filesystem mismatch errors by recording environment assumptions during failure capture and verifying them against the actual state during pattern-based root-cause diagnosis.

Repeated tool-call failures persist because agents attempt blind recovery without capturing error evidence or diagnosing root causes, whereas a structured introspection loop forces contained recovery with documented evidence trails.