diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py
index ab69e9ca13f..f5856ab1f45 100644
--- a/litellm/completion_extras/litellm_responses_transformation/transformation.py
+++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py
@@ -240,10 +240,10 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
             if key in ("max_tokens", "max_completion_tokens"):
                 responses_api_request["max_output_tokens"] = value
             elif key == "tools" and value is not None:
-                responses_api_request[
-                    "tools"
-                ] = self._convert_tools_to_responses_format(
-                    cast(List[Dict[str, Any]], value)
+                responses_api_request["tools"] = (
+                    self._convert_tools_to_responses_format(
+                        cast(List[Dict[str, Any]], value)
+                    )
                 )
             elif key == "response_format":
                 text_format = self._transform_response_format_to_text_format(value)
@@ -398,6 +398,7 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
             ResponseOutputMessage,
             ResponseReasoningItem,
         )
+
         try:
             from openai.types.responses.response_output_item import (
                 ResponseApplyPatchToolCall,
@@ -460,7 +461,9 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
                 accumulated_tool_calls.append(tool_call_dict)
                 tool_call_index += 1
 
-            elif ResponseApplyPatchToolCall is not None and isinstance(item, ResponseApplyPatchToolCall):
+            elif ResponseApplyPatchToolCall is not None and isinstance(
+                item, ResponseApplyPatchToolCall
+            ):
                 from litellm.responses.litellm_completion_transformation.transformation import (
                     LiteLLMCompletionResponsesConfig,
                 )
@@ -1069,9 +1072,9 @@ class OpenAiResponsesToChatCompletionStreamIterator(BaseModelResponseIterator):
                 )
 
                 if provider_specific_fields:
-                    function_chunk[
-                        "provider_specific_fields"
-                    ] = provider_specific_fields
+                    function_chunk["provider_specific_fields"] = (
+                        provider_specific_fields
+                    )
 
                 tool_call_index = parsed_chunk.get("output_index", 0)
                 tool_call_chunk = ChatCompletionToolCallChunk(
@@ -1144,9 +1147,9 @@ class OpenAiResponsesToChatCompletionStreamIterator(BaseModelResponseIterator):
 
                 # Add provider_specific_fields to function if present
                 if provider_specific_fields:
-                    function_chunk[
-                        "provider_specific_fields"
-                    ] = provider_specific_fields
+                    function_chunk["provider_specific_fields"] = (
+                        provider_specific_fields
+                    )
 
                 tool_call_index = parsed_chunk.get("output_index", 0)
                 tool_call_chunk = ChatCompletionToolCallChunk(