diff --git a/litellm/main.py b/litellm/main.py
index 6102fe3ccce..70f55125507 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -1256,6 +1256,7 @@ def completion(  # type: ignore # noqa: PLR0915
             additional_drop_params=kwargs.get("additional_drop_params"),
             remove_sensitive_keys=True,
             add_provider_specific_params=True,
+            provider_config=provider_config,
         )
 
         if litellm.add_function_to_prompt and optional_params.get(
diff --git a/litellm/utils.py b/litellm/utils.py
index aa3c00735ec..40a1438b3fe 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -3088,6 +3088,7 @@ def pre_process_non_default_params(
     model: str,
     remove_sensitive_keys: bool = False,
     add_provider_specific_params: bool = False,
+    provider_config: Optional[BaseConfig] = None,
 ) -> dict:
     """
     Pre-process non-default params to a standardized format
@@ -3103,14 +3104,6 @@ def pre_process_non_default_params(
         additional_endpoint_specific_params=["messages"],
     )
 
-    provider_config: Optional[BaseConfig] = None
-    if custom_llm_provider is not None and custom_llm_provider in [
-        provider.value for provider in LlmProviders
-    ]:
-        provider_config = ProviderConfigManager.get_provider_chat_config(
-            model=model, provider=LlmProviders(custom_llm_provider)
-        )
-
     if "response_format" in non_default_params:
         if provider_config is not None:
             non_default_params[
diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index bd39fbfc9c4..dba40e2214a 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -957,7 +957,12 @@ def test_get_model_info_shows_supports_computer_use():
 def test_pre_process_non_default_params(model, custom_llm_provider):
     from pydantic import BaseModel
 
-    from litellm.utils import pre_process_non_default_params
+    from litellm.utils import ProviderConfigManager, pre_process_non_default_params
+
+    provider_config = ProviderConfigManager.get_provider_chat_config(
+        model=model, 
+        provider=LlmProviders(custom_llm_provider)
+    )
 
     class ResponseFormat(BaseModel):
         x: str
@@ -974,6 +979,7 @@ def test_pre_process_non_default_params(model, custom_llm_provider):
         special_params=special_params,
         custom_llm_provider=custom_llm_provider,
         additional_drop_params=None,
+        provider_config=provider_config,
     )
     print(processed_non_default_params)
     assert processed_non_default_params == {