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