diff --git a/litellm/litellm_core_utils/prompt_templates/factory.py b/litellm/litellm_core_utils/prompt_templates/factory.py
index c722a58ad9d..350bcc20cdc 100644
--- a/litellm/litellm_core_utils/prompt_templates/factory.py
+++ b/litellm/litellm_core_utils/prompt_templates/factory.py
@@ -1393,10 +1393,10 @@ def convert_to_gemini_tool_call_invoke(
         if tool_calls is not None:
             for idx, tool in enumerate(tool_calls):
                 if "function" in tool:
-                    gemini_function_call: Optional[VertexFunctionCall] = (
-                        _gemini_tool_call_invoke_helper(
-                            function_call_params=tool["function"]
-                        )
+                    gemini_function_call: Optional[
+                        VertexFunctionCall
+                    ] = _gemini_tool_call_invoke_helper(
+                        function_call_params=tool["function"]
                     )
                     if gemini_function_call is not None:
                         part_dict: VertexPartType = {
@@ -1574,7 +1574,9 @@ def convert_to_gemini_tool_call_result(  # noqa: PLR0915
                         file_data = (
                             file_content.get("file_data", "")
                             if isinstance(file_content, dict)
-                            else file_content if isinstance(file_content, str) else ""
+                            else file_content
+                            if isinstance(file_content, str)
+                            else ""
                         )
 
                     if file_data:
@@ -2079,9 +2081,9 @@ def _sanitize_empty_text_content(
         if isinstance(content, str):
             if not content or not content.strip():
                 message = cast(AllMessageValues, dict(message))  # Make a copy
-                message["content"] = (
-                    "[System: Empty message content sanitised to satisfy protocol]"
-                )
+                message[
+                    "content"
+                ] = "[System: Empty message content sanitised to satisfy protocol]"
                 verbose_logger.debug(
                     f"_sanitize_empty_text_content: Replaced empty text content in {message.get('role')} message"
                 )
@@ -2421,9 +2423,9 @@ def anthropic_messages_pt(  # noqa: PLR0915
                             # Convert ChatCompletionImageUrlObject to dict if needed
                             image_url_value = m["image_url"]
                             if isinstance(image_url_value, str):
-                                image_url_input: Union[str, dict[str, Any]] = (
-                                    image_url_value
-                                )
+                                image_url_input: Union[
+                                    str, dict[str, Any]
+                                ] = image_url_value
                             else:
                                 # ChatCompletionImageUrlObject or dict case - convert to dict
                                 image_url_input = {
@@ -2450,9 +2452,9 @@ def anthropic_messages_pt(  # noqa: PLR0915
                             )
 
                             if "cache_control" in _content_element:
-                                _anthropic_content_element["cache_control"] = (
-                                    _content_element["cache_control"]
-                                )
+                                _anthropic_content_element[
+                                    "cache_control"
+                                ] = _content_element["cache_control"]
                             user_content.append(_anthropic_content_element)
                         elif m.get("type", "") == "text":
                             m = cast(ChatCompletionTextObject, m)
@@ -2512,9 +2514,9 @@ def anthropic_messages_pt(  # noqa: PLR0915
                     )
 
                     if "cache_control" in _content_element:
-                        _anthropic_content_text_element["cache_control"] = (
-                            _content_element["cache_control"]
-                        )
+                        _anthropic_content_text_element[
+                            "cache_control"
+                        ] = _content_element["cache_control"]
 
                     user_content.append(_anthropic_content_text_element)
 
@@ -2647,9 +2649,9 @@ def anthropic_messages_pt(  # noqa: PLR0915
                         original_content_element=dict(assistant_content_block),
                     )
                     if "cache_control" in _content_element:
-                        _anthropic_text_content_element["cache_control"] = (
-                            _content_element["cache_control"]
-                        )
+                        _anthropic_text_content_element[
+                            "cache_control"
+                        ] = _content_element["cache_control"]
                     text_element = _anthropic_text_content_element
 
                 # Interleave: each thinking block precedes its server tool group.
@@ -2809,9 +2811,9 @@ def anthropic_messages_pt(  # noqa: PLR0915
                     )
 
                     if "cache_control" in _content_element:
-                        _anthropic_text_content_element["cache_control"] = (
-                            _content_element["cache_control"]
-                        )
+                        _anthropic_text_content_element[
+                            "cache_control"
+                        ] = _content_element["cache_control"]
 
                     assistant_content.append(_anthropic_text_content_element)
 
@@ -5253,7 +5255,9 @@ def default_response_schema_prompt(response_schema: dict) -> str:
     prompt_str = """Use this JSON schema: 
     ```json 
     {}
-    ```""".format(response_schema)
+    ```""".format(
+        response_schema
+    )
     return prompt_str
 
 
diff --git a/litellm/llms/openai/chat/guardrail_translation/handler.py b/litellm/llms/openai/chat/guardrail_translation/handler.py
index 0ce9d57a65f..f854cdb13d0 100644
--- a/litellm/llms/openai/chat/guardrail_translation/handler.py
+++ b/litellm/llms/openai/chat/guardrail_translation/handler.py
@@ -86,9 +86,9 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
             if tool_calls_to_check:
                 inputs["tool_calls"] = tool_calls_to_check  # type: ignore
             if messages:
-                inputs["structured_messages"] = (
-                    messages  # pass the openai /chat/completions messages to the guardrail, as-is
-                )
+                inputs[
+                    "structured_messages"
+                ] = messages  # pass the openai /chat/completions messages to the guardrail, as-is
             # Pass tools (function definitions) to the guardrail
             tools = data.get("tools")
             if tools: