quiet unmapped model helper checks

Co-authored-by: ishaan-berri <ishaan-berri@users.noreply.github.com>

litellm/litellm_core_utils/get_llm_provider_logic.py

@@ -140,6 +140,7 @@ def get_llm_provider(  # noqa: PLR0915
     api_base: Optional[str] = None,
     api_key: Optional[str] = None,
     litellm_params: Optional[LiteLLM_Params] = None,
+    suppress_debug_info: bool = False,
 ) -> Tuple[str, str, Optional[str], Optional[str]]:
     """
     Returns the provider for a given model name - e.g. 'azure/chatgpt-v-2' -> 'azure'
@@ -148,6 +149,8 @@ def get_llm_provider(  # noqa: PLR0915
 
     Raises Error - if unable to map model to a provider
 
+    suppress_debug_info: avoid printing provider-list guidance before raising.
+
     Return model, custom_llm_provider, dynamic_api_key, api_base
     """
     try:
@@ -499,7 +502,7 @@ def get_llm_provider(  # noqa: PLR0915
         elif model.startswith("sap/"):
             custom_llm_provider = "sap"
         if not custom_llm_provider:
-            if litellm.suppress_debug_info is False:
+            if litellm.suppress_debug_info is False and suppress_debug_info is False:
                 print()  # noqa
                 print(  # noqa
                     "\033[1;31mProvider List: https://docs.litellm.ai/docs/providers\033[0m"  # noqa

litellm/litellm_core_utils/get_supported_openai_params.py

@@ -26,7 +26,9 @@ def get_supported_openai_params(  # noqa: PLR0915
     """
     if not custom_llm_provider:
         try:
-            custom_llm_provider = litellm.get_llm_provider(model=model)[1]
+            custom_llm_provider = litellm.get_llm_provider(
+                model=model, suppress_debug_info=True
+            )[1]
         except BadRequestError:
             return None
 

litellm/utils.py

@@ -2464,7 +2464,9 @@ def supports_native_streaming(model: str, custom_llm_provider: Optional[str]) ->
     """
     try:
         model, custom_llm_provider, _, _ = litellm.get_llm_provider(
-            model=model, custom_llm_provider=custom_llm_provider
+            model=model,
+            custom_llm_provider=custom_llm_provider,
+            suppress_debug_info=True,
         )
 
         model_info = _get_model_info_helper(
@@ -2500,7 +2502,9 @@ def supports_response_schema(
     try:
         get_llm_provider = getattr(sys.modules[__name__], "get_llm_provider")
         model, custom_llm_provider, _, _ = get_llm_provider(
-            model=model, custom_llm_provider=custom_llm_provider
+            model=model,
+            custom_llm_provider=custom_llm_provider,
+            suppress_debug_info=True,
         )
     except Exception as e:
         verbose_logger.debug(
@@ -2603,7 +2607,9 @@ def _supports_factory(model: str, custom_llm_provider: Optional[str], key: str)
     """
     try:
         model, custom_llm_provider, _, _ = litellm.get_llm_provider(
-            model=model, custom_llm_provider=custom_llm_provider
+            model=model,
+            custom_llm_provider=custom_llm_provider,
+            suppress_debug_info=True,
         )
 
         model_info = _get_model_info_helper(
@@ -2661,7 +2667,9 @@ def _is_explicitly_disabled_factory(
     """
     try:
         model, custom_llm_provider, _, _ = litellm.get_llm_provider(
-            model=model, custom_llm_provider=custom_llm_provider
+            model=model,
+            custom_llm_provider=custom_llm_provider,
+            suppress_debug_info=True,
         )
         model_info = _get_model_info_helper(
             model=model, custom_llm_provider=custom_llm_provider
@@ -2806,7 +2814,9 @@ def get_supported_regions(
     """
     try:
         model, custom_llm_provider, _, _ = litellm.get_llm_provider(
-            model=model, custom_llm_provider=custom_llm_provider
+            model=model,
+            custom_llm_provider=custom_llm_provider,
+            suppress_debug_info=True,
         )
 
         model_info = _get_model_info_helper(

tests/test_litellm/test_unmapped_model_helpers.py

@@ -0,0 +1,25 @@
+from typing import Any, Callable
+
+import pytest
+
+import litellm
+
+
+@pytest.mark.parametrize(
+    ("helper", "expected"),
+    [
+        (litellm.get_supported_openai_params, None),
+        (litellm.supports_function_calling, False),
+        (litellm.supports_reasoning, False),
+        (litellm.supports_response_schema, False),
+    ],
+)
+def test_should_keep_quiet_for_unmapped_model_helpers(
+    capsys: pytest.CaptureFixture[str],
+    helper: Callable[..., Any],
+    expected: Any,
+) -> None:
+    assert helper(model="hhh") is expected
+
+    captured = capsys.readouterr()
+    assert captured.out == ""