fix: agents loading

src/backend/app_config.py

@@ -183,15 +183,14 @@ def get_ai_project_client(self):
             self._ai_project_client = AIProjectClient.from_connection_string(
                 credential=credential, conn_str=connection_string
             )
-            logging.info("Successfully created AIProjectClient using connection string")
+
             return self._ai_project_client
         except Exception as exc:
             logging.error("Failed to create AIProjectClient: %s", exc)
             raise
 
     async def create_azure_ai_agent(
         self,
-        kernel: Kernel,
         agent_name: str,
         instructions: str,
         tools: Optional[List[KernelFunction]] = None,
@@ -221,21 +220,15 @@ async def create_azure_ai_agent(
 
             # First try to get an existing agent with this name as assistant_id
             try:
-                logging.info(f"Trying to retrieve existing agent with ID: {agent_name}")
-                existing_definition = await project_client.agents.get_agent(agent_name)
-                logging.info(f"Found existing agent with ID: {agent_name}")
 
+                existing_definition = await project_client.agents.get_agent(agent_name)
                 # Create the agent instance directly with project_client and existing definition
                 agent = AzureAIAgent(
                     client=project_client,
                     definition=existing_definition,
-                    kernel=kernel,
                     plugins=tools,
                 )
 
-                logging.info(
-                    f"Successfully loaded existing Azure AI Agent for {agent_name}"
-                )
                 return agent
             except Exception as e:
                 # The Azure AI Projects SDK throws an exception when the agent doesn't exist
@@ -263,7 +256,6 @@ async def create_azure_ai_agent(
             agent = AzureAIAgent(
                 client=project_client,
                 definition=agent_definition,
-                kernel=kernel,
                 plugins=tools,
             )
 

src/backend/app_kernel.py

@@ -127,15 +127,13 @@ async def input_task_endpoint(input_task: InputTask, request: Request):
         agents = await AgentFactory.create_all_agents(
             session_id=input_task.session_id,
             user_id=user_id,
-            kernel=kernel,
             memory_store=memory_store,
         )
 
         group_chat_manager = agents[AgentType.GROUP_CHAT_MANAGER.value]
 
         # Convert input task to JSON for the kernel function, add user_id here
 
-        logging.info(f"Input task: {input_task}")
         # Use the planner to handle the task
         result = await group_chat_manager.handle_input_task(input_task)
 
@@ -252,10 +250,7 @@ async def human_feedback_endpoint(human_feedback: HumanFeedback, request: Reques
         human_feedback.session_id, user_id
     )
     agents = await AgentFactory.create_all_agents(
-        session_id=human_feedback.session_id,
-        user_id=user_id,
-        memory_store=memory_store,
-        kernel=kernel,
+        session_id=human_feedback.session_id, user_id=user_id, memory_store=memory_store
     )
 
     # Send the feedback to the human agent
@@ -342,7 +337,6 @@ async def human_clarification_endpoint(
         session_id=human_clarification.session_id,
         user_id=user_id,
         memory_store=memory_store,
-        kernel=kernel,
     )
 
     # Send the feedback to the human agent
@@ -436,7 +430,6 @@ async def approve_step_endpoint(
     agents = await AgentFactory.create_all_agents(
         session_id=human_feedback.session_id,
         user_id=user_id,
-        kernel=kernel,
         memory_store=memory_store,
     )