Two watchdog/metrics improvements to the loop machine:
1) Token-logging granularity is configurable via [watchdog].token_granularity:
'gate' (default) or 'phase'. In 'gate' mode, tokens are attributed to each
claimed gate -- any 'claim(<label>)' commit on the work repo's origin/main
(e.g. claim(D1-D5), claim(feat:multi-file); a leading 'feat:' is stripped) --
in addition to the per-phase rollup, appended to token-log.jsonl tagged
phase_id='<phase>:<label>'. A change in the most-recently-claimed label is the
boundary; the in-flight gate is also flushed when the phase ends. 'phase' mode
keeps the original per-phase-only behaviour.
2) Phase auto-advance is now evaluated on EVERY signal tick instead of only the
heavy tick, so a completed phase advances within signal_interval of its
'## DONE' landing rather than idling up to heavy_interval. Healing stays on the
heavy cadence.
Note: gate-boundary detection assumes the loop's 'claim(<label>)' commit convention.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UWTdUq2bsic7JZGqJp3nD6
Multi-reviewer setups (e.g. a correctness + a readability adversary) can now have
the watchdog ping ALL reviewers on a claim, each in its own session with its own
submit key. A bare string still works (single agent). _ping_agents() helper.
When [watchdog].log_tokens (or [loop].log_tokens) is true, the watchdog records
for each phase how many tokens each agent used (and the total) and how long the
phase took, appended to <log_dir>/token-log.jsonl. Tokens are summed from each
agent's session transcript, attributed by working dir. View with `agents.py
tokens`. Baseline snapshot at phase start + delta at phase advance/complete;
robust across watchdog restarts. Validated: the transcript sum matches an
independent external collector exactly.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
