◆ Autonomous Monitor
Watches every model in production … including the agents in this building … for drift, stability breaks and performance decay, and raises a revalidation trigger when a model degrades past tolerance. Runs as an always-on monitor per model and routes triggers to the validation agent.
Memory
Working The model's live performance metrics and the drift signals.
Episodic The model's performance trend and prior drift events.
Semantic Performance thresholds and revalidation-trigger rules by model class.
Store Model-metrics warehouse + drift-event log
Orchestration
swarm MCPA2A
Harness · Managed Agents … event-driven, always-on monitors per model.
Tools
{ } Model output + outcome feeds API ›_ Drift / stability tests Code exec { } Model inventory API
Evals & guardrails
- Drift-detection sensitivity tuned; a missed material degradation is a control failure.
- Revalidation triggers route to the validation agent … this monitor never re-certifies a model.
- Full trace of monitored metrics retained for audit.
Frontier edge
- ▲Anticipatory: forecasts the drift trajectory and raises a revalidation trigger before performance decays past tolerance.
- ▲Formal action-gating: the never-re-certifies boundary is enforced in policy, so it can flag and escalate but provably cannot re-bless a model; every trigger is signed.
- ▲Self-improving fleet: a confirmed drift pattern on one model propagates its detection signature to every sibling monitor of the same model class.
In numbers
100%
Production models monitored
+weeks vs. annual cycle
Avg. drift lead time
Handoffs
Fed by ← Model Validation Agent
Hands to → Model Validation Agent