Compute a data/prediction drift report for a deployed model.

Compares the current serving window against a reference window (PSI + KS
tests per feature). Returns per-feature drift scores, an overall drift
flag, and the top drifted features.

Args:
    model_name: Registered model name as it appears in the model registry.
    reference_window_hours: Reference window size (default 7 days).
    current_window_hours: Current window size (default 24 hours).

Summarize serving-metric anomalies (latency, error rate, prediction stats).

Returns metric statistics with anomaly windows flagged via rolling z-score, suitable for an LLM to reason over without raw time series.

List recent deployments/version transitions for a model, newest first.

Diff two model versions: training data span, params, eval metrics, feature schema.

The primary root-cause tool: correlates 'what changed' between the incumbent
and the newly deployed version.

Generate a rollback plan for human review. Read-only — does not execute.

Execute an approved rollback. Rejects missing/invalid tokens.

Open an incident record (demo: JSONL log; live: ticketing webhook).