demolisted

# demo — watch the belt decide, live Four panels, refreshed as decisions happen: **ROUTING**, **SAVINGS**, **MICRO-NN**, **ESCALATIONS**. Reads from [[events]] — same data source as `dashboard --watch` and session replay. ```bash python -m skills.demo.cli scripted # built-in scenario, ~4s total python -m skills.demo.cli scripted --speed 0 --no-clear # dump all frames, no timing python -m skills.demo.cli live . # tail a real project while an agent works python -m skills.demo.cli replay .botte/events.jsonl --speed 0.3 # the "black box" — replay a real session ``` ## Three modes, same renderer - **`scripted`** — 6 fixed steps (`scenario.py`) covering every filter of the belt: micro-NN routing, a deterministic classifier, a cache hit, a cloud escalation, a verification-failure escalation, an anomaly-detector output. Deterministic, no dependency on a running LLM or `.botte/events.jsonl` — this is the mode for a README GIF or a cold-machine walkthrough. - **`live`** — tails a real project's `.botte/events.jsonl` (written by [[auto_router]], [[cache]], …) while an agent works. Genuine decisions, genuine numbers. - **`replay`** — the "black box": replays a captured event log at real or sped-up pace. Accepts a raw `.botte/events.jsonl` (JSONL, exactly what `events`/`auto_router` write) or a JSON array (e.g. from `events tail --json`) via `load_events_file()`, which auto-detects the shape. Useful for debugging a real ro