System Governance Controls
Observe and simulate platform behavior without production impact
Active Simulation
2,400 req
simulate_traffic(n_requests)
simulate_feature_drift(severity)
15%
simulate_shadow_execution(coverage)
advance_snapshot_window()
Governance Rules
src/governance/controller.py≥ 500 shadow requests
Minimum evidence threshold
No latency regression (p95)
Performance constraint
Prediction delta ≤ 0.05
Behavioral stability
Error rate unchanged
Accuracy preservation
System Architecture
Click nodes to inspectInputs
- • Validated feature vectors
- • Model version reference
- • Request context (metadata)
Outputs
- • Prediction with confidence
- • Shadow candidate prediction
- • Structured inference log
Key Functions
execute_inference()
execute_shadow()
log_prediction()
System Logs
RecentSystem Health
Inference
—
Shadow
—
Drift
—
Governance
—
Current Window
Requests
—
—
baseline: 2,542
Prediction Alignment
—
—
baseline: —
p95 Latency
—
—
baseline: 116ms
Drift Score
—
—
limit: 0.15