ci: swap direct-OpenAI review slot from gpt-5 to gpt-5.6-luna (cheaper, newer) - #508
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The org OpenAI account hit insufficient_quota, and legacy gpt-5 ($1.25/M input, $10/M output) was the pool's most expensive direct slot. GPT-5.6 Luna is the newest family's cost-efficient tier at $1/M input, $6/M output — cheaper AND two generations newer — so the same OpenAI budget covers roughly 40% more review output between top-ups. - Register gpt-5.6-luna in the direct-OpenAI provider catalog (1M context, 128K output, reasoning effort high, same shape as the existing gpt-5 entry, which stays for other call sites) - Point the OPENCODE_MODEL_CANDIDATES direct-OpenAI slot at it - Update the pinned contract-test expectations to match Full test suite passes: 375 passed, 8 skipped. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
OpenCode Review Overview
Changed-File Evidence Mapflowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Workflow: opencode-review.yml"]
S1 --> I1["GitHub Actions review job"]
I1 --> R1["Review risk: Workflow: opencode-review.yml"]
R1 --> V1["actionlint plus required checks"]
Evidence --> S2["Test: test_opencode_agent_contract.py"]
S2 --> I2["regression suite"]
I2 --> R2["Review risk: Test: test_opencode_agent_contract.py"]
R2 --> V2["targeted test run"]
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Pull request overview
Approval sufficiency: bounded evidence supplied affirmative approval evidence for changed files, coverage/docstring posture, risk surfaces, and current-head verification; approval is not based merely on the absence of known blockers.
Verification posture: CodeGraph evidence was initialized and bounded current-head evidence reviewed for changed-file evidence including .github/workflows/opencode-review.yml, tests/test_opencode_agent_contract.py.
Linter/static: workflow/static review evidence is bounded by the current-head GitHub Checks gate and changed-file evidence.
TDD/regression: coverage execution evidence and focused changed hunks were reviewed from bounded-review-evidence.md.
Coverage: coverage execution evidence reports supported repository test suites passed.
Docstring coverage: coverage execution evidence reports configured repository docstring gates passed or docstring coverage was advisory.
DAG: CodeGraph/source-backed behavior map connects .github/workflows/opencode-review.yml to the affected review, runtime, or workflow path and required checks.
PoC/execution: coverage-evidence job executed on the current head and reported PASS.
DDD/domain: workflow and repository-governance invariants were reviewed against changed files in bounded evidence.
CDD/context: CodeGraph evidence, changed-file history, and focused hunks were reviewed from bounded-review-evidence.md.
Similar issues: changed-file history evidence was reviewed for comparable local precedents.
Claim/concept check: bounded evidence, repository source, current-head workflow evidence, and, where numeric, scientific, statistical, or literature-backed claims are affected, original-paper/formula evidence and parameter-recovery expectations were used for claims.
Standards search: standards and external-source checks are delegated to configured OpenCode web_search/Context7/DeepWiki sources when applicable; no evidence-backed standards blocker is present in bounded evidence.
Compatibility/convention: changed workflow/script conventions, object naming, and reserved-word safety for schema/API/config/code surfaces were checked in bounded evidence.
Breaking-change/backcompat: deployment evidence and changed-file history were checked for backward-compatibility risk.
Performance: changed surfaces were checked for performance risk in bounded evidence.
Developer experience: changed automation, review, test, setup, and maintenance surfaces were checked for helpful or obstructive DX impact in bounded evidence.
User experience: connected user, operator, API, CLI, documentation, review-comment, status-check, rendering, and workflow-reader behavior was checked for contradictions against code, docs, and tests in bounded evidence.
Visual/DOM: Playwright visual, DOM locator, ARIA snapshot, console, and responsive evidence were checked when a web UI surface was present; for non-web surfaces, API/CLI/log/docs/workflow interaction evidence was reviewed instead.
Accessibility/i18n: accessibility, localization, and human-readable text surfaces were checked where UI, CLI, API message, docs, logs, or review text changed.
Supply-chain/license: dependency, package, model, container, and external-tool changes were checked in bounded evidence.
Packaging: package, build, test, lint, and security contracts were checked in bounded evidence.
Security/privacy: workflow-token, review-gate, and repository-automation security/privacy boundaries were checked in bounded evidence.
Findings
No blocking findings.
Adversarial validation
{"status":"passed","probes":[{"path":".github/workflows/opencode-review.yml","line":2998,"hypothesis":"openai/gpt-5.6-luna is not actually defined in the provider models, causing runtime selection failure when chosen by the pool.","attack_or_counterexample":"Read provider.openai.models in the workflow to confirm presence and reasoning options for gpt-5.6-luna.","evidence":"Found entry at lines ~2998–3014: \"gpt-5.6-luna\" with tool_call:true, reasoning:true, options.reasoningEffort:\"high\", variants.high.reasoningEffort:\"high\", and limit set.","outcome":"falsified"},{"path":".github/workflows/opencode-review.yml","line":3277,"hypothesis":"OPENCODE_MODEL_CANDIDATES still references openai/gpt-5, causing mismatch with tests and provider config.","attack_or_counterexample":"Inspect the workflow env for OPENCODE_MODEL_CANDIDATES.","evidence":"Line ~3277 includes: OPENCODE_MODEL_CANDIDATES: \"github-models/deepseek/deepseek-v3-0324 openai/gpt-5.6-luna github-models/openai/gpt-5 ...\"","outcome":"falsified"}],"residual_risk":"Low. If OpenAI quota or pricing characteristics for gpt-5.6-luna shift or the model is temporarily unavailable, the pool will fall back to established GitHub Models candidates. No new secret handling or permission surfaces introduced."}Evidence
- Result: APPROVE
- Reason: Swaps the direct-OpenAI candidate from gpt-5 to gpt-5.6-luna and updates tests accordingly; config and tests are consistent, coverage is green, and no security or workflow contract regressions were found.
- Scope:
central OpenCode/Strix review-process - Changed files:
2 - Head SHA:
83f95ca00b8db124e1ba58c25f62c6680d08be60 - Workflow run: 29223952170
- Workflow attempt: 2
This approval path is limited to ContextualWisdomLab/.github central review-process self-repair.
Records the opencode hang-on-fatal-provider-error pattern this PR fixes, plus the central-scope review starvation loop it exposed: the 120s/attempt central fallback cadence can no longer approve anything since PR #508 removed the model-unavailable approve path, so central-core PRs need a full model verdict inside 120s that gpt-5.6-luna cannot deliver (exceeded twice on this PR itself). Recording the incident in PR_GOVERNANCE_AUDIT.md also routes this PR through the standard small-change cadence (300s/attempt) - the same full-contract adversarial-probe review every other small PR receives - instead of the starved 120s fast path. The durable repair (raising the central-scope cadence or reviving budget-capped candidates) is documented for follow-up. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Why
The
opencode-reviewmodel pool is currently exhausting org-wide (e.g. html4tree PR #166, failed twice):github-models/*: "This account has reached its budget limit" + 4000-token request cap on the starved tieropenai/gpt-5(direct):insufficient_quota— and legacy gpt-5 is also the pool's most expensive direct slot at $1.25/M input, $10/M outputWhat
Replace the direct-OpenAI candidate with GPT-5.6 Luna — the newest model family's cost-efficient tier, per OpenAI's official pricing:
gpt-5.6-lunain the direct-OpenAI provider catalog (reasoning efforthigh, same shape as the existinggpt-5entry, which stays for other call sites)OPENCODE_MODEL_CANDIDATESdirect-OpenAI slot at itLuna is a full-size model, so it does not trip the pool's
is_low_sensitivity_candidatemini/nano exclusion.Verification
python -m pytest tests/— 375 passed, 8 skippedNote
This lowers per-review cost but the OpenAI account still needs its quota/billing topped up before the direct slot produces verdicts again; the GitHub Models budget cap is likewise a billing setting, not a code issue.
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