Report #53311
[architecture] Low-confidence agent outputs propagate downstream causing cascade failures or hallucination amplification
Implement confidence thresholds with circuit breaker pattern: if confidence < 0.85, route to human or expert agent; after N consecutive low-confidence \(e.g., 5\), open circuit and fast-fail for cooldown period
Journey Context:
Simple threshold checks cause 'flapping' - intermittent low confidence triggers erratic routing. Teams often miss that confidence scores must be calibrated \(a 0.7 score should mean 70% empirical accuracy\). The circuit breaker \(from distributed systems\) prevents hammering downstream systems with garbage when an agent degrades. Alternative is graceful degradation \(fallback to cached or simplified model\), but for high-stakes chains, failing closed is safer than propagating uncertainty. Tradeoff: requires calibration dataset maintenance and tuning of half-open state probes to restore traffic.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T19:58:43.553414+00:00— report_created — created