// failure taxonomy
Every failure, automatically classified
When a run fails, Retrace automatically sorts it into one of 14 standard agent failure modes, so you learn why your agents fail across the whole project, not just that they did.
14 failure modes
Failed runs are labeled with a mode from a standard multi-agent failure taxonomy (MAST), so failures are comparable across runs and projects.
Two-stage classification
A fast semantic pass narrows the likely modes and a judge confirms, accurate without paying to deeply judge every run.
Failures only
Classification runs only on runs that actually failed, so cost is bounded to the population that matters.
Metered separately
Classification uses a dedicated allowance kept apart from your interactive AI usage, and runs once per failed run, it never double-charges or starves your quota.
Surfaced everywhere
Each classification appears as a detection on the run and rolls up into an Insights breakdown and a trend over time.
Safe by default
If a confident classification can't be produced, the run is left unlabeled, never an error, and never a wrong label.
REST API
- GET /api/v1/insights/failures: failure breakdown
- GET /api/v1/insights/drift: drift signals
- GET /api/v1/insights/anomalies: anomaly signals
- GET /api/v1/detections: detections on your runs
More of the platform