Crate wm_selfmodel 

wm-selfmodel — Predictive introspection for WhiteMagic v5 (Phase R4).

Tracks per-subsystem metrics over time, forecasts threshold crossings, and feeds confidence signals back into the dispatch pipeline.

Architecture:

• MetricTracker — per-metric ring buffer history with EWMA
• ForecastEngine — linear extrapolation + EWMA forecasting
• AlertEngine — threshold rules checked against forecasts
• ConfidenceCalibrator — overall system confidence from forecast accuracy
• SelfModel — top-level orchestrator

The self-model is read-only from the dispatch pipeline (no feedback loops). Confidence <0.5 triggers conservative dispatch (prefer cached results).

Re-exports

pub use alert::Alert;

pub use alert::AlertEngine;

pub use alert::AlertLevel;

pub use alert::AlertRule;

pub use alert::Comparison;

pub use confidence::ConfidenceCalibrator;

pub use forecast::Forecast;

pub use forecast::ForecastEngine;

pub use metrics::MetricKind;

pub use metrics::MetricSample;

pub use metrics::MetricTracker;

Modules

alert

Alert engine — threshold rules checked against forecasts.

confidence

Confidence calibration — overall system confidence from metrics and forecast accuracy.

forecast

Forecasting — linear extrapolation + EWMA prediction.

metrics

Metric tracking — per-subsystem performance metrics with ring buffer history.

Structs

CognitiveForecast

Forecast for all cognitive metrics.

CognitiveMetrics

Cognitive metrics bundle — recorded after each imagination/research cycle.

MetricSnapshot

Summary of a single metric’s state.

SelfModel

Top-level self-model — orchestrates metric tracking, forecasting, alerting, and confidence calibration.

SelfModelSnapshot

A point-in-time snapshot of the self-model state.