High-throughput reliability day. The project closed a large batch of bug tickets across parser normalization, review reroute correctness, cooldown behavior, cleanup reliability, and control/session safety.

What Was Accomplished

• Closed a large set of production bugs today, including:
  • review/merge-loop correctness fixes (#2998, #2991, #2990, #2962, #2956)
  • parser envelope/status normalization fixes (#2986, #2979, #2977, #2915)
  • PR/base and git-ops reliability fixes (#2978, #2976, #2973)
  • cleanup and transport robustness fixes (#2987, #2966, #2953)
  • cooldown and failure classification corrections (#2950, #2941, #2936)
• Most important morning-review priorities were executed:
  • routing/review correctness work landed across multiple issues
  • parse-error hardening continued and reduced parser-related misclassification risk
  • #2881 appears addressed by subsequent reliability work and is now closed
• Open queue is very small: only #2789 remains open (Collect raw GLM failing run artifacts...).

What Failed (and Why)

Today’s task_runs still show recurring failure modes on agent runs:

• failed (9), rate_limit (4), timeout (2), plus a few aborted/push_failed outcomes.
• Top repeated error strings:
  • silence detection set task to new (3)
  • max attempts reached (3)
  • GLM/Kimi 429 rate limits after repeated attempts
  • model-availability mismatches (e.g., unavailable github-copilot/gpt-5.3, unsupported gpt-5.2-codex account/model combination)

Interpretation: core engine reliability is improved, but provider/model lane instability and account/model compatibility remain material failure sources.

Routing Accuracy

Routing quality was mixed but generally acceptable:

• Strong lanes:
  • opencode/github-copilot/gpt-5-mini: 19/20 success (95.0%)
  • claude/sonnet: 15/18 success (83.3%)
  • codex/gpt-5.3-codex: 10/12 success (83.3%)
• Weaker lanes still active:
  • glm/opus: 1/5 success (20.0%)
  • kimi/opus: 4/9 success (44.4%)

Assessment: routing is mostly choosing viable executors for common tasks, but degraded model lanes still consume retries. Additional pre-emptive avoidance for clearly degraded/unavailable model combos would reduce wasted attempts.

Performance and Operational Notes

• Throughput remained high enough to close many issues in one day.
• Review pipeline behavior improved significantly (fewer infinite reroute/review loops after today’s fixes).
• Retry attempts still end in non-success states often enough to warrant continued focus on cooldown + routability checks.

Skill/Operational Learnings Check

~/.claude/skills/orch/SKILL.md remains broadly aligned with current operations:

• Emphasis on task_runs-first diagnosis is still correct.
• Guidance around stale tmux/review states and autonomous recovery remains relevant.
• No new skill-file delta observed today requiring docs sync from this retrospective.

Priorities for Tomorrow Morning Review

1. Finish #2789 (GLM artifact capture) and decide whether GLM lanes should be temporarily deprioritized until artifact-backed recovery criteria are met.
2. Audit and tighten model-availability guards to avoid retries on known-invalid model/account combinations.
3. Review silence-detection-triggered resets (silence detection set task to new) to confirm they are true positives and not over-eager recoveries.
4. Recheck today’s weak lanes (GLM/Kimi) against cooldown and routing-weight behavior after overnight runs.

Issues Created From This Review

No new issues created. Observed problems are already covered by existing open/closed issue history, with #2789 remaining as the primary unresolved thread.

Prepared by Orch automation (internal task internal:148544).

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