Ruff fix

src/llm_models/model_client/gemini_client.py

@@ -147,7 +147,7 @@ def _convert_tool_options(tool_options: list[ToolOption]) -> list[FunctionDeclar
         param_type_value = tool_option_param.param_type.value
         if param_type_value == "bool":
             param_type_value = "boolean"
-        
+
         return_dict: dict[str, Any] = {
             "type": param_type_value,
             "description": tool_option_param.description,

src/llm_models/model_client/openai_client.py

@@ -122,7 +122,7 @@ def _convert_tool_options(tool_options: list[ToolOption]) -> list[dict[str, Any]
         param_type_value = tool_option_param.param_type.value
         if param_type_value == "bool":
             param_type_value = "boolean"
-        
+
         return_dict: dict[str, Any] = {
             "type": param_type_value,
             "description": tool_option_param.description,

src/llm_models/payload_content/message.py

@@ -116,9 +116,7 @@ class MessageBuilder:
         构建消息对象
         :return: Message对象
         """
-        if len(self.__content) == 0 and not (
-            self.__role == RoleType.Assistant and self.__tool_calls
-        ):
+        if len(self.__content) == 0 and not (self.__role == RoleType.Assistant and self.__tool_calls):
             raise ValueError("内容不能为空")
         if self.__role == RoleType.Tool and self.__tool_call_id is None:
             raise ValueError("Tool角色的工具调用ID不能为空")

src/llm_models/utils_model.py

@@ -166,7 +166,7 @@ class LLMRequest:
                 time_cost=time.time() - start_time,
             )
         return content or "", (reasoning_content, model_info.name, tool_calls)
-    
+
     async def generate_response_with_message_async(
         self,
         message_factory: Callable[[BaseClient], List[Message]],