feat(settings): add force_required_tool_choice to LlmSettings

feat(inputs): implement logic for required tool choice based on model

test(inputs): add tests for force_required_tool_choice behavior

test(runner): update tests to include force_required_tool_choice in settings

strix/core/inputs.py

@@ -24,10 +24,6 @@ DEFAULT_MAX_TURNS = 500
 
 def _accepts_required_tool_choice(model_name: str | None) -> bool:
     name = (model_name or "").strip().lower()
-    for prefix in ("litellm/", "any-llm/"):
-        if name.startswith(prefix):
-            name = name[len(prefix) :]
-            break
     return name.startswith("openai/") or is_known_openai_bare_model(name)
 
 

tests/test_inputs.py

@@ -135,23 +135,3 @@ def test_make_model_settings_skips_required_tool_choice_for_non_openai_models()
     )
 
     assert settings.tool_choice is None
-
-
-def test_make_model_settings_forces_required_for_routed_openai_model() -> None:
-    settings = make_model_settings(
-        None,
-        model_name="litellm/openai/gpt-4o",
-        force_required_tool_choice=True,
-    )
-
-    assert settings.tool_choice == "required"
-
-
-def test_make_model_settings_forces_required_for_anyllm_routed_openai_model() -> None:
-    settings = make_model_settings(
-        None,
-        model_name="any-llm/openai/gpt-4o",
-        force_required_tool_choice=True,
-    )
-
-    assert settings.tool_choice == "required"