- Domain review → GPT-4o (OpenRouter), Leo STANDARD → Sonnet (OpenRouter),
Leo DEEP → Opus (Claude Max). Two model families = no correlated blind spots.
- Opus reserved for DEEP eval only — protects rate limit for overnight research.
- Review prompts calibrated: require per-criterion evidence, blocking-vs-observation
verdict rules. Moved from 100% rubber-stamp approval to 12% pass rate.
- OpenRouter failures classified as openrouter_failed (not rate_limited) to avoid
spurious 15-min Opus backoff.
- merge.py: pre-check PR state before merge API call (prevents 405 on re-merge).
Pentagon-Agent: Leo <294C3CA1-0205-4668-82FA-B984D54F48AD>
- Fix#12: domain_review undefined on resume path — initialize to None,
guard _parse_issues() call. Prevents NameError on PRs resuming after
partial eval (76 PRs in this state right now).
- Fix#11: concurrent eval workers can duplicate reviews — add atomic
UPDATE SET status='reviewing' WHERE status='open' at top of
evaluate_pr(). Check rowcount, skip if already claimed.
- Fix#8: subprocess tracking for graceful shutdown — _active_subprocesses
set in evaluate module, tracked in _claude_cli_call, exposed via
kill_active_subprocesses(). Replaces dead code in teleo-pipeline.py.
- Fix health.py divide-by-zero — guard all metabolic metric reads against
None from NULLIF/empty result set. Prevents TypeError on /health when
no PRs have been evaluated in 24h.
Also includes Leo's existing hot-fixes:
- Rate limit detection checks stdout regardless of exit code
- 15-minute cycle-level backoff on rate limit
Pentagon-Agent: Ganymede <F99EBFA6-547B-4096-BEEA-1D59C3E4028A>
