fix: fix linting errors

litellm/litellm_core_utils/streaming_handler.py

@@ -5,7 +5,6 @@ import json
 import threading
 import time
 import traceback
-from litellm._uuid import uuid
 from typing import Any, Callable, Dict, List, Optional, Union, cast
 
 import httpx
@@ -13,6 +12,7 @@ from pydantic import BaseModel
 
 import litellm
 from litellm import verbose_logger
+from litellm._uuid import uuid
 from litellm.litellm_core_utils.model_response_utils import (
     is_model_response_stream_empty,
 )
@@ -1024,7 +1024,7 @@ class CustomStreamWrapper:
         return
 
     def chunk_creator(self, chunk: Any):  # type: ignore  # noqa: PLR0915
-        if hasattr(chunk, 'id'):
+        if hasattr(chunk, "id"):
             self.response_id = chunk.id
         model_response = self.model_response_creator()
         response_obj: Dict[str, Any] = {}
@@ -1365,12 +1365,13 @@ class CustomStreamWrapper:
                 f"model_response finish reason 3: {self.received_finish_reason}; response_obj={response_obj}"
             )
             ## FUNCTION CALL PARSING
+            original_chunk = (
+                response_obj.get("original_chunk") if response_obj is not None else None
+            )
             if (
-                response_obj is not None
-                and response_obj.get("original_chunk", None) is not None
+                original_chunk is not None
             ):  # function / tool calling branch - only set for openai/azure compatible endpoints
                 # enter this branch when no content has been passed in response
-                original_chunk = response_obj.get("original_chunk", None)
                 if hasattr(original_chunk, "id"):
                     model_response = self.set_model_id(
                         original_chunk.id, model_response