resolved the pytlint issue

Author: Dhruvkumar-Microsoft

src/backend/v3/callbacks/response_handlers.py

@@ -44,7 +44,7 @@ def agent_response_callback(message: ChatMessageContent, user_id: str = None) ->
 
     # Get agent name to determine handling
     agent_name = message.name or "Unknown Agent"
-    
+
     logger.info(f"🤖 Agent Response from '{agent_name}' for user: {user_id}")
 
     role = getattr(message, "role", "unknown")
@@ -60,7 +60,7 @@ def agent_response_callback(message: ChatMessageContent, user_id: str = None) ->
                         tool_name = item.name or "unknown_tool"
                         tool_args = item.arguments or {}
                         logger.info(f"🛠️ Tool call: {tool_name} with args: {str(tool_args)[:200]}...")
-                        
+
                         tool_call = AgentToolCall(
                             tool_name=tool_name,
                             arguments=tool_args,

src/backend/v3/magentic_agents/common/lifecycle.py

@@ -89,7 +89,7 @@ async def _enter_mcp_if_configured(self) -> None:
         # Enter MCP async context via the stack to ensure correct LIFO cleanup
         if self._stack is None:
             self._stack = AsyncExitStack()
-        
+
         try:
             self.mcp_plugin = await self._stack.enter_async_context(plugin)
             logger.info(f"✅ MCP plugin '{self.mcp_cfg.name}' successfully initialized")

src/backend/v3/magentic_agents/foundry_agent.py

@@ -171,7 +171,7 @@ async def _after_open(self) -> None:
 
         # Add MCP plugins if available
         plugins = [self.mcp_plugin] if self.mcp_plugin else []
-        
+
         if self.mcp_plugin:
             self.logger.info(f"🔧 Adding MCP plugin to agent: {self.agent_name}")
             self.logger.debug(f"MCP plugin name: {getattr(self.mcp_plugin, 'name', 'Unknown')}")

src/backend/v3/orchestration/human_approval_manager.py

@@ -53,16 +53,16 @@ def __init__(self, user_id: str, *args, **kwargs):
         # Remove any custom kwargs before passing to parent
 
         plan_append = """
-  
+
 IMPORTANT: Never ask the user for information or clarification until all agents on the team have been asked first.
- 
+
 EXAMPLE: If the user request involves product information, first ask all agents on the team to provide the information.
 Do not ask the user unless all agents have been consulted and the information is still missing.
- 
+
 Plan steps should always include a bullet point, followed by an agent name, followed by a description of the action
 to be taken. If a step involves multiple actions, separate them into distinct steps with an agent included in each step.
 If the step is taken by an agent that is not part of the team, such as the MagenticManager, please always list the MagenticManager as the agent for that step. At any time, if more information is needed from the user, use the ProxyAgent to request this information.
- 
+
 Here is an example of a well-structured plan:
 - **EnhancedResearchAgent** to gather authoritative data on the latest industry trends and best practices in employee onboarding
 - **EnhancedResearchAgent** to gather authoritative data on Innovative onboarding techniques that enhance new hire engagement and retention.