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v1.84.1.0 fix: default Codex and Claude to frontier models (#2835)

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* fix: default cross-model workflows to frontier models

* chore: bump version and changelog (v1.82.1.0)

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: repair frontier eval budgets and workflow instructions

Preserve frontier models and quality thresholds while fixing truncated judge output, ordered section expansion, consent checks, QA scoring, and ship audit gates. Add regression coverage and refresh generated docs.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: resolve workflow gaps exposed by frontier evals

Clarify plan-review ordering and fallback modes, preserve deploy readiness gates, honor configured merge methods, correct benchmark and canary contracts, and restore vendored installs on setup failure. Cover recovery with real-shell regressions.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: use agent capture budgets for deploy evals

Multi-turn deploy and benchmark sessions were incorrectly limited to the single-call judge timeout. Use the existing capture tier and leave outer-test cleanup headroom, with a free policy regression test. Keep all behavioral assertions and frontier models unchanged.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: clarify retro workflow and evaluate compare instructions

Include compare mode in the frontier judge excerpt, define metric sources and snapshot ordering, and preserve the existing prompt-size budget.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* fix: make documentation release review and publication consistent

Review before commit, clarify changelog safeguards and unavailable reviewer modes, and preserve raw PR bodies across separate shell calls. Keep title sync in one shell and add regression coverage.

Co-authored-by: OpenAI Codex <noreply@openai.com>

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Co-authored-by: OpenAI Codex <noreply@openai.com>
This commit is contained in:
Garry Tan
2026-09-09 08:57:21 -07:00
committed by GitHub
co-authored by OpenAI Codex
parent c8f0c4e368
commit 71f6048e8a
141 changed files with 2678 additions and 1750 deletions
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ARCHITECTURE.md
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@@ -374,11 +374,14 @@ Three reasons:
### Template test tiers
Paid-tier cost and speed estimates below predate the current model defaults.
See [eval defaults and overrides](CONTRIBUTING.md#testing--evals).
| Tier | What | Cost | Speed |
|------|------|------|-------|
| 1 — Static validation | Parse every `$B` command in SKILL.md and validate it against the registry; pin the Aside contract sentences and the render wrapper's option mapping | Free | <2s |
| 2 — E2E via `claude -p` | Spawn real Claude session, run each skill, check for errors | ~$3.85 | ~20min |
| 3 — LLM-as-judge | Sonnet scores docs on clarity/completeness/actionability | ~$0.15 | ~30s |
| 3 — LLM-as-judge | `claude-fable-5-1` by default scores docs on clarity/completeness/actionability | ~$0.15 | ~30s |
Tier 1 runs on every `bun run test`. Tiers 2+3 are gated behind `EVALS=1`. The idea is: catch 95% of issues for free, use LLMs only for judgment calls.
@@ -488,11 +491,14 @@ The `EvalCollector` accumulates test results and writes them in two ways:
### Test tiers
Paid-tier cost and speed estimates below predate the current model defaults.
See [eval defaults and overrides](CONTRIBUTING.md#testing--evals).
| Tier | What | Cost | Speed |
|------|------|------|-------|
| 1 — Static validation | Parse `$B` commands against the registry, Aside contract pins, render-wrapper pins, observability unit tests | Free | <5s |
| 2 — E2E via `claude -p` | Spawn real Claude session, run each skill, scan for errors | ~$3.85 | ~20min |
| 3 — LLM-as-judge | Sonnet scores docs on clarity/completeness/actionability | ~$0.15 | ~30s |
| 3 — LLM-as-judge | `claude-fable-5-1` by default scores docs on clarity/completeness/actionability | ~$0.15 | ~30s |
Tier 1 runs on every `bun run test`. Tiers 2+3 are gated behind `EVALS=1`. The idea: catch 95% of issues for free, use LLMs only for judgment calls and integration testing.