fix linting

Author: KeremTurgutlu

litellm/batches/main.py

@@ -18,7 +18,6 @@
 
 import httpx
 from openai.types.batch import BatchRequestCounts
-from openai.types.batch import Metadata as BatchMetadata
 
 import litellm
 from litellm._logging import verbose_logger

litellm/llms/bedrock/chat/invoke_handler.py

@@ -1246,7 +1246,7 @@ def translate_thinking_blocks(
             thinking_blocks_list.append(_thinking_block)
         return thinking_blocks_list
 
-    def converse_chunk_parser(self, chunk_data: dict) -> ModelResponseStream:
+    def converse_chunk_parser(self, chunk_data: dict) -> ModelResponseStream: # noqa: PLR0915
         try:
             # Capture the conversationId from the first messageStart event
             # and use it as the consistent ID for all subsequent chunks.

litellm/proxy/batches_endpoints/endpoints.py

@@ -22,7 +22,6 @@
 )
 from litellm.proxy.openai_files_endpoints.common_utils import (
     _is_base64_encoded_unified_file_id,
-    convert_b64_uid_to_unified_uid,
     get_batch_id_from_unified_batch_id,
     get_model_id_from_unified_batch_id,
     get_models_from_unified_file_id,

litellm/router.py

@@ -835,7 +835,7 @@ def _initialize_core_endpoints(self):
             litellm.acancel_batch, call_type="acancel_batch"
         )
 
-    def _initialize_specialized_endpoints(self):
+    def _initialize_specialized_endpoints(self): # noqa: PLR0915
         """Helper to initialize specialized router endpoints (vector store, OCR, search, video, container)."""
         from litellm.vector_stores.main import acreate, asearch, create, search