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fix: unify openai-codex model list — derive from codex_models.py (#7844)
The _PROVIDER_MODELS['openai-codex'] static list was a manually maintained duplicate of DEFAULT_CODEX_MODELS in codex_models.py. They drifted — the static list was missing gpt-5.3-codex-spark (and previously gpt-5.4). Replace the hardcoded list with _codex_curated_models() which calls DEFAULT_CODEX_MODELS + _add_forward_compat_models() from codex_models.py. Now both the CLI 'hermes model' flow and the gateway /model picker derive from the same source of truth. New models added to DEFAULT_CODEX_MODELS or _FORWARD_COMPAT_TEMPLATE_MODELS automatically appear everywhere.
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1 changed files with 13 additions and 8 deletions
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@ -56,6 +56,18 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
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_openrouter_catalog_cache: list[tuple[str, str]] | None = None
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def _codex_curated_models() -> list[str]:
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"""Derive the openai-codex curated list from codex_models.py.
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Single source of truth: DEFAULT_CODEX_MODELS + forward-compat synthesis.
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This keeps the gateway /model picker in sync with the CLI `hermes model`
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flow without maintaining a separate static list.
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"""
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from hermes_cli.codex_models import DEFAULT_CODEX_MODELS, _add_forward_compat_models
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return _add_forward_compat_models(list(DEFAULT_CODEX_MODELS))
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_PROVIDER_MODELS: dict[str, list[str]] = {
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"nous": [
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"anthropic/claude-opus-4.6",
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@ -86,14 +98,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
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"openai/gpt-5.4-pro",
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"openai/gpt-5.4-nano",
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],
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"openai-codex": [
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"gpt-5.4",
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"gpt-5.4-mini",
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"gpt-5.3-codex",
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"gpt-5.2-codex",
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"gpt-5.1-codex-mini",
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"gpt-5.1-codex-max",
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],
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"openai-codex": _codex_curated_models(),
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"copilot-acp": [
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"copilot-acp",
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],
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