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

* 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>

README.md

@@ -131,7 +131,8 @@ digest's first line shows its gstack version; re-copy it after upgrading.
 
 For Codex, setup reads the top-level `model` from
 `${CODEX_HOME:-~/.codex}/config.toml` and generates the matching behavioral
-profile. `gpt-5.6-sol` automatically receives bounded-scope instructions that
+profile, falling back to `gpt-6-astra` when no usable model is configured.
+`gpt-5.6-sol` automatically receives bounded-scope instructions that
 finish the requested lake without expanding into adjacent cleanup or speculative
 hardening. The Sol profile is exact-match only: dated snapshots and other 5.6
 variants get the generic GPT profile, and setup warns on near-misses like
@@ -140,6 +141,16 @@ override applies to that run only; set `model` in your Codex `config.toml` to
 make it stick across upgrades. After changing your Codex model, rerun
 `./setup --host codex` to regenerate the skills.
 
+gstack-owned Codex invocations and evals default to `gpt-6-astra`. Set
+`GSTACK_CODEX_MODEL=<model>` to override that runtime default; an explicitly
+requested model takes precedence. Runtime model selection is separate from
+the setup-time behavioral profile above. The Claude outside-voice skill
+(`gstack-claude` on Codex) defaults to `claude-fable-5-1`, overridable with
+`GSTACK_CLAUDE_MODEL=<model>` or an explicit model in your request. These are
+known frontier pins maintained in gstack releases, with no automatic model
+discovery. See [eval defaults and overrides](CONTRIBUTING.md#testing--evals)
+for capture, judge, and benchmark model selection.
+
 **Want to add support for another agent?** See [docs/ADDING_A_HOST.md](docs/ADDING_A_HOST.md).
 It's one TypeScript config file, zero code changes.