chore(techdebt): drop restating comments from the 2026-08-30 window

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

litellm/google_genai/adapters/transformation.py

@@ -108,7 +108,6 @@ class GoogleGenAIStreamWrapper(AdapterCompletionStreamWrapper):
 
     def __init__(self, completion_stream: object):
         self.sent_first_chunk = False
-        # State tracking for accumulating partial tool calls
         self.accumulated_tool_calls = dict[int, _ToolCallAccumulator]()
         self._returned_response = False
         super().__init__(completion_stream)

litellm/llms/runwayml/videos/transformation.py

@@ -160,14 +160,12 @@ class RunwayMLVideoConfig(BaseVideoConfig):
             **self._prompt_image_param(video_create_optional_params),
             **self._ratio_param(video_create_optional_params),
             **self._duration_param(video_create_optional_params),
-            # Pass through other parameters that aren't OpenAI-specific
             **{key: value for key, value in video_create_optional_params.items() if key not in supported_openai_params},
         }
 
     @staticmethod
     def _prompt_image_param(video_create_optional_params: VideoCreateOptionalRequestParams) -> Mapping[str, object]:
         # Handle input_reference parameter - map to promptImage
-        # RunwayML supports URLs and data URIs directly
         if "input_reference" in video_create_optional_params:
             return {"promptImage": video_create_optional_params["input_reference"]}
         return {}

litellm/proxy/response_polling/background_streaming.py

@@ -144,10 +144,8 @@ async def background_streaming_task(
 
         # Process streaming response following OpenAI events format
         # https://platform.openai.com/docs/api-reference/responses-streaming
-        output_items: Final = dict[str, _OutputItem]()  # Track output items by ID
-        accumulated_text: Final = dict[
-            tuple[str, int], str
-        ]()  # Track accumulated text deltas by (item_id, content_index)
+        output_items: Final = dict[str, _OutputItem]()
+        accumulated_text: Final = dict[tuple[str, int], str]()
 
         # ResponsesAPIResponse fields to extract from response.completed
         usage_data = None
@@ -262,7 +260,6 @@ async def background_streaming_task(
                                 if "content" in delta_item:
                                     content_list = delta_item["content"]
                                     if content_index < len(content_list):
-                                        # Update existing content part with accumulated text
                                         content_entry = content_list[content_index]
                                         if isinstance(content_entry, dict):
                                             content_entry["text"] = accumulated_text[key]