fix(llm): resolve grok/ models to xai/ for LiteLLM metadata

LiteLLM maps xAI models only provider-qualified, so neither "grok/grok-4" nor bare "grok-4" resolves: subscription runs fell back to the generic 200k context window and an 8k output cap instead of Grok's 256k/256k.

subscription.litellm_model_name() now owns the routing-prefix -> LiteLLM name mapping (grok/ -> xai/, chatgpt/ -> bare) and context_budget uses it.

strix/config/subscription.py

@@ -22,6 +22,10 @@ _PROVIDERS: tuple[ModuleType, ...] = (codex, grok)
 # Human-facing provider names keyed by each module's ``PROVIDER`` constant.
 _DISPLAY_NAMES: dict[str, str] = {codex.PROVIDER: "ChatGPT", grok.PROVIDER: "Grok"}
 
+# Prefix LiteLLM keys each provider's model metadata under: ChatGPT models are
+# mapped bare ("gpt-5.4"), xAI's only provider-qualified ("xai/grok-4").
+_LITELLM_PREFIXES: dict[str, str] = {codex.PROVIDER: "", grok.PROVIDER: "xai/"}
+
 
 def provider_for_model(model_name: str | None) -> ModuleType | None:
     """Return the subscription provider module that owns ``model_name``'s prefix,
@@ -43,3 +47,17 @@ def provider_label(model_name: str | None) -> str | None:
     if provider is None:
         return None
     return _DISPLAY_NAMES.get(provider.PROVIDER)
+
+
+def litellm_model_name(model_name: str | None) -> str | None:
+    """``model_name`` rewritten to the name LiteLLM maps metadata under.
+
+    Subscription prefixes are Strix routing labels LiteLLM never maps, so a
+    lookup of "grok/grok-4" (or bare "grok-4") finds nothing. Non-subscription
+    models are returned unchanged.
+    """
+    provider = provider_for_model(model_name)
+    if provider is None:
+        return model_name
+    prefix = _LITELLM_PREFIXES.get(provider.PROVIDER, "")
+    return f"{prefix}{provider.subscription_model(model_name)}"

strix/llm/context_budget.py

@@ -10,7 +10,7 @@ from typing import Any
 
 import litellm
 
-from strix.config import load_settings
+from strix.config import load_settings, subscription
 
 
 logger = logging.getLogger(__name__)
@@ -19,7 +19,6 @@ logger = logging.getLogger(__name__)
 # ``litellm/``, ``ollama/`` ...). Strip a leading provider segment on lookup.
 _STRIPPABLE_PREFIXES = (
     "openai/",
-    "chatgpt/",
     "litellm/",
     "any-llm/",
     "ollama/",
@@ -30,6 +29,8 @@ _DEFAULT_OUTPUT_TOKENS = 8_192
 
 
 def _lookup_key(model: str) -> str:
+    if subscription.provider_for_model(model) is not None:
+        return subscription.litellm_model_name(model) or model
     for prefix in _STRIPPABLE_PREFIXES:
         if model.startswith(prefix):
             return model[len(prefix) :]
@@ -46,9 +47,12 @@ def _safe_get_model_info(model: str) -> dict[str, Any] | None:
 @lru_cache(maxsize=128)
 def _model_info(model: str) -> dict[str, int]:
     lookup_key = _lookup_key(model)
-    # Provider-qualified ChatGPT lookups may start a synchronous device-login
-    # poll. LiteLLM keys the metadata by the underlying model slug.
-    candidates = (lookup_key,) if model.startswith("chatgpt/") else (model, lookup_key)
+    # Subscription prefixes are never LiteLLM keys, and a provider-qualified
+    # ChatGPT lookup may start a synchronous device-login poll: only ask about
+    # the resolved name.
+    candidates = (
+        (lookup_key,) if subscription.provider_for_model(model) is not None else (model, lookup_key)
+    )
     for candidate in candidates:
         info = _safe_get_model_info(candidate)
         if info is not None:

tests/test_context_budget.py

@@ -39,6 +39,17 @@ def test_context_window_chatgpt_prefix_skips_provider_auth(
         context_budget._model_info.cache_clear()
 
 
+def test_context_window_grok_prefix_resolves_to_xai() -> None:
+    # LiteLLM maps xAI models only provider-qualified: neither "grok/grok-4" nor
+    # bare "grok-4" resolves, so the subscription prefix becomes "xai/".
+    context_budget._model_info.cache_clear()
+    try:
+        assert context_budget.context_window("grok/grok-4") == 256_000
+        assert context_budget.output_limit("grok/grok-4") == 256_000
+    finally:
+        context_budget._model_info.cache_clear()
+
+
 def test_context_window_unmapped_uses_fallback(monkeypatch: pytest.MonkeyPatch) -> None:
     context_budget._model_info.cache_clear()
 

tests/test_grok_routing.py

@@ -47,6 +47,17 @@ def test_provider_label_names_the_subscription() -> None:
     assert subscription.provider_label("openai/gpt-5.4") is None
 
 
+def test_litellm_model_name_maps_subscription_prefixes() -> None:
+    # Model metadata (context window, output cap) is keyed "xai/…" for Grok and
+    # bare for ChatGPT; the routing prefixes themselves are never LiteLLM keys.
+    assert subscription.litellm_model_name("grok/grok-4") == "xai/grok-4"
+    assert subscription.litellm_model_name("chatgpt/gpt-5.4") == "gpt-5.4"
+    # Non-subscription models pass through untouched.
+    assert subscription.litellm_model_name("xai/grok-4") == "xai/grok-4"
+    assert subscription.litellm_model_name("openai/gpt-5.4") == "openai/gpt-5.4"
+    assert subscription.litellm_model_name(None) is None
+
+
 def test_run_record_reports_grok_provider(monkeypatch) -> None:  # type: ignore[no-untyped-def]
     settings = mock.MagicMock()
     settings.llm.model = "grok/grok-4"