agent-introspection-debugging

To stop agent failure loops, you need to capture the exact error, verify the current environment state, and classify the root cause before attempting a contained, targeted recovery action instead of retrying.

Agent self-debugging is the process of diagnosing why an agent is stuck, drifting, or repeatedly failing, allowing it to apply a smaller, safer corrective action and produce a legible introspection report rather than wasting tokens.

Diagnose environment mismatch failures by recording the failed tool call, last successful step, and environment assumptions, then classifying the pattern to recommend the smallest reversible action to verify state and recover.

Yes, you can generate a concise recovery report by capturing the structured failure data, classifying the root cause of the stall, and documenting the contained recovery action needed for a clean human or agent handoff.

The best way to recover from context overload is to apply contained recovery by narrowing scope, verifying state, or trimming context, which prevents further token exhaustion and guides the agent toward a targeted retry.

You should avoid automated retries when a timeout indicates a deeper environment mismatch or tool loop, requiring structured failure capture and root-cause diagnosis to determine a safe, contained recovery action first.