diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index b0e23926c47..a395c28757f 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -560,9 +560,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         }
         return any(key in tool for key in search_tool_keys)
 
-    def _drop_search_tools_if_mixed_with_functions(
-        self, optional_params: dict
-    ) -> None:
+    def _drop_search_tools_if_mixed_with_functions(self, optional_params: dict) -> None:
         tools = optional_params.get("tools")
         if not isinstance(tools, list) or not self._has_function_declarations_tool(
             tools
@@ -575,9 +573,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         if server_side_tool_invocations:
             return
 
-        filtered_tools = [
-            tool for tool in tools if not self._is_search_tool(tool=tool)
-        ]
+        filtered_tools = [tool for tool in tools if not self._is_search_tool(tool=tool)]
         if len(filtered_tools) == len(tools):
             return
 
@@ -593,9 +589,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         optional_params = super()._add_tools_to_optional_params(
             optional_params=optional_params, tools=tools
         )
-        self._drop_search_tools_if_mixed_with_functions(
-            optional_params=optional_params
-        )
+        self._drop_search_tools_if_mixed_with_functions(optional_params=optional_params)
         return optional_params
 
     def _map_function(  # noqa: PLR0915
diff --git a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py
index 0e0839d702c..23d0c616765 100644
--- a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py
+++ b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py
@@ -3499,7 +3499,12 @@ def test_video_metadata_supported_for_all_gemini_models():
         }
     ]
 
-    for model in ["gemini-1.5-pro", "gemini-2.5-flash", "gemini-2.5-pro", "gemini-3-pro-preview"]:
+    for model in [
+        "gemini-1.5-pro",
+        "gemini-2.5-flash",
+        "gemini-2.5-pro",
+        "gemini-3-pro-preview",
+    ]:
         contents = _gemini_convert_messages_with_history(messages=messages, model=model)
 
         file_part = None
@@ -3509,19 +3514,25 @@ def test_video_metadata_supported_for_all_gemini_models():
                 break
 
         assert file_part is not None, f"{model}: file part should exist"
-        assert "video_metadata" in file_part, f"{model}: video_metadata should be present"
+        assert (
+            "video_metadata" in file_part
+        ), f"{model}: video_metadata should be present"
         assert file_part["video_metadata"]["fps"] == 5, f"{model}: fps should be 5"
 
     # Per-part media_resolution is Gemini 3+ only; 2.x uses generation_config global
     for model in ["gemini-3-pro-preview"]:
         contents = _gemini_convert_messages_with_history(messages=messages, model=model)
         file_part = next(p for p in contents[0]["parts"] if "file_data" in p)
-        assert "media_resolution" in file_part, f"{model}: media_resolution should be present"
+        assert (
+            "media_resolution" in file_part
+        ), f"{model}: media_resolution should be present"
 
     for model in ["gemini-1.5-pro", "gemini-2.5-flash", "gemini-2.5-pro"]:
         contents = _gemini_convert_messages_with_history(messages=messages, model=model)
         file_part = next(p for p in contents[0]["parts"] if "file_data" in p)
-        assert "media_resolution" not in file_part, f"{model}: per-part media_resolution should not be set"
+        assert (
+            "media_resolution" not in file_part
+        ), f"{model}: per-part media_resolution should not be set"
 
 
 def test_chunk_parser_handles_prompt_feedback_block():
@@ -4272,8 +4283,9 @@ def test_vertex_ai_usage_metadata_with_document_tokens_in_prompt():
 
     # DOCUMENT tokens should be included in text_tokens: 8 (TEXT) + 774 (DOCUMENT) = 782
     assert result.prompt_tokens_details is not None
-    assert result.prompt_tokens_details.text_tokens == 782, \
-        "DOCUMENT modality tokens should be added to text_tokens (8 TEXT + 774 DOCUMENT = 782)"
+    assert (
+        result.prompt_tokens_details.text_tokens == 782
+    ), "DOCUMENT modality tokens should be added to text_tokens (8 TEXT + 774 DOCUMENT = 782)"
 
     # Verify completion token details
     assert result.completion_tokens_details is not None
@@ -4308,8 +4320,9 @@ def test_vertex_ai_usage_metadata_with_document_tokens_cached():
 
     # DOCUMENT cached tokens map to cached_text_tokens, so:
     # text_tokens = (8 TEXT + 774 DOCUMENT) - 400 cached = 382
-    assert result.prompt_tokens_details.text_tokens == 382, \
-        "text_tokens should be (8 + 774) - 400 cached = 382"
+    assert (
+        result.prompt_tokens_details.text_tokens == 382
+    ), "text_tokens should be (8 + 774) - 400 cached = 382"
     assert result.prompt_tokens_details.cached_tokens == 400