fix: unify openai-codex model list — derive from codex_models.py

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.

hermes_cli/models.py

@@ -56,6 +56,18 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
 
 _openrouter_catalog_cache: list[tuple[str, str]] | None = None
 
+
+def _codex_curated_models() -> list[str]:
+    """Derive the openai-codex curated list from codex_models.py.
+
+    Single source of truth: DEFAULT_CODEX_MODELS + forward-compat synthesis.
+    This keeps the gateway /model picker in sync with the CLI `hermes model`
+    flow without maintaining a separate static list.
+    """
+    from hermes_cli.codex_models import DEFAULT_CODEX_MODELS, _add_forward_compat_models
+    return _add_forward_compat_models(list(DEFAULT_CODEX_MODELS))
+
+
 _PROVIDER_MODELS: dict[str, list[str]] = {
     "nous": [
         "anthropic/claude-opus-4.6",
@@ -86,14 +98,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
         "openai/gpt-5.4-pro",
         "openai/gpt-5.4-nano",
     ],
-    "openai-codex": [
-        "gpt-5.4",
-        "gpt-5.4-mini",
-        "gpt-5.3-codex",
-        "gpt-5.2-codex",
-        "gpt-5.1-codex-mini",
-        "gpt-5.1-codex-max",
-    ],
+    "openai-codex": _codex_curated_models(),
     "copilot-acp": [
         "copilot-acp",
     ],