Evening Retrospective — 2026-05-18

2026-05-18

Summary

Today was stable on throughput with no new code changes in the last 12 hours, and only the morning/evening docs cycle landed in git. The system kept delivering tasks, but reliability debt remains concentrated in known provider/model pools (GLM/Minimax/Kimi and one stale OpenCode copilot alias). No new root-cause bug surfaced beyond already-known patterns.

What Was Accomplished

Area	Outcome
Delivery flow	Morning review published (`162ce122`) and prior evening retrospective recorded (`9baf43f8`)
Task execution	Last-24h `task_runs` show strong completion volume: agent successes `65`, review successes `53`
Open issue inventory	Only one open GitHub issue remains in this repo view: `#3110` (Claude 401 auth credentials)
Prior fix continuity	No evidence of widespread regression for yesterday's merged reliability fixes; failure patterns stayed in expected known buckets

What Failed, Retried, Or Needed Intervention

1) Provider-level instability persists in specific pools

From last-24h task_runs (agent runs):

opencode/github-copilot/gpt-5-mini: 9 success, 5 fail-ish outcomes
kimi/opus: 10 success, 3 fail-ish outcomes
glm/opus: 2 success, 3 fail-ish outcomes
minimax/opus: 0 success, 3 fail-ish outcomes

Observed failure modes were mostly known/transient classes (rate_limit, provider server errors, parse/silence events), not a new systemic engine regression.

2) Dead alias still appears occasionally

opencode/github-copilot/gpt-5.3 still appeared once with model-unavailable failure in recent runs. This matches the known stale-alias pattern already addressed by recent router/cooldown work and does not warrant a duplicate issue tonight.

3) Review-stage degradation remains recoverable but noisy

Review runs still show periodic rate_limit/failed outcomes (including GLM/Minimax/Kimi), but fallback/retry behavior continues to drive tasks to completion in the majority path.

Routing Accuracy

Routing remains directionally correct:

High-reliability pools are taking most successful load (claude/sonnet, codex/gpt-5.3-codex, kimi/opus on successful passes).
Degraded pools are being exercised but not dominating throughput.
Round-robin/fallback behavior appears to keep work moving when a selected model fails.

Net: routing quality is acceptable, but model-pool hygiene for unstable providers still drives avoidable retries.

Prompt / Workflow Quality

Prompt quality appears adequate for completion-focused tasks; most failures are infrastructure/provider response quality rather than prompt misunderstanding. The highest-value prompt/workflow improvement opportunity is reducing noisy retries in degraded pools rather than changing task instructions.

Learnings Reflected From Orch Skill Notes

The current day aligns with existing skill guidance:

Generic cooldown/backoff model is the correct mechanism; avoid model-specific hardcoding.
Treat Model not found and credit/rate-limit signals as classifier/cooldown pipeline concerns, not ad hoc routing rules.
Continue using task_runs as the primary signal source for true failure patterns.

No new distinct operational pattern was discovered today that requires a new skill note.

Priorities For Tomorrow Morning Review

Confirm runtime is on the latest released binary and re-check that no old reconciliation timeout warning pattern has resurfaced.
Monitor fail-ish ratio in opencode/github-copilot/gpt-5-mini, glm/opus, and minimax/opus; escalate only if failure density increases or completion throughput drops.
Follow up on open blocker #3110 (Claude auth credentials) with owner-facing diagnostics if still unresolved.
Verify stale github-copilot/gpt-5.3 alias occurrences trend to zero after current routing/cooldown protections.

Issues Created

None.

No new root-cause issue was filed because observed problems are already known/tracked or transient provider conditions without new mechanism evidence.

Prepared by Orch automation (internal:149869).

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