remove kernel as parameter for the agent

Author: Fr4nc3

src/backend/app_config.py

@@ -191,7 +191,6 @@ def get_ai_project_client(self):
 
     async def create_azure_ai_agent(
         self,
-        kernel: Kernel,
         agent_name: str,
         instructions: str,
         tools: Optional[List[KernelFunction]] = None,
@@ -227,7 +226,6 @@ async def create_azure_ai_agent(
                 agent = AzureAIAgent(
                     client=project_client,
                     definition=existing_definition,
-                    kernel=kernel,
                     plugins=tools,
                 )
 
@@ -258,7 +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

@@ -127,7 +127,6 @@ 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,
         )
 
@@ -251,10 +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
@@ -341,7 +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
@@ -435,7 +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,
     )
 

src/backend/kernel_agents/agent_base.py

@@ -10,26 +10,6 @@
 from semantic_kernel.functions.kernel_function_decorator import kernel_function
 from semantic_kernel.agents import AzureAIAgentThread
 
-# Updated imports for compatibility
-try:
-    # Try importing from newer structure first
-    from semantic_kernel.contents import ChatHistory, ChatMessageContent
-except ImportError:
-    # Fall back to older structure for compatibility
-    class ChatMessageContent:
-        """Compatibility class for older SK versions."""
-
-        def __init__(self, role="", content="", name=None):
-            self.role = role
-            self.content = content
-            self.name = name
-
-    class ChatHistory:
-        """Compatibility class for older SK versions."""
-
-        def __init__(self):
-            self.messages = []
-
 
 # Import the new AppConfig instance
 from app_config import config
@@ -53,7 +33,6 @@ class BaseAgent(AzureAIAgent):
     def __init__(
         self,
         agent_name: str,
-        kernel: sk.Kernel,
         session_id: str,
         user_id: str,
         memory_store: CosmosMemoryContext,
@@ -66,7 +45,6 @@ def __init__(
 
         Args:
             agent_name: The name of the agent
-            kernel: The semantic kernel instance
             session_id: The session ID
             user_id: The user ID
             memory_store: The memory context for storing agent state
@@ -82,7 +60,6 @@ def __init__(
 
         # Call AzureAIAgent constructor with required client and definition
         super().__init__(
-            kernel=kernel,
             deployment_name=None,  # Set as needed
             plugins=tools,  # Use the loaded plugins,
             endpoint=None,  # Set as needed
@@ -96,7 +73,6 @@ def __init__(
 
         # Store instance variables
         self._agent_name = agent_name
-        self._kernel = kernel
         self._session_id = session_id
         self._user_id = user_id
         self._memory_store = memory_store
@@ -130,7 +106,6 @@ async def async_init(self):
         # Create Azure AI Agent or fallback
         if not self._agent:
             self._agent = await config.create_azure_ai_agent(
-                kernel=self._kernel,
                 agent_name=self._agent_name,
                 instructions=self._system_message,
                 tools=self._tools,

src/backend/kernel_agents/agent_factory.py

@@ -91,7 +91,6 @@ async def create_agent(
         user_id: str,
         temperature: float = 0.0,
         memory_store: Optional[CosmosMemoryContext] = None,
-        kernel: Optional[Kernel] = None,
         system_message: Optional[str] = None,
         response_format: Optional[Any] = None,
         **kwargs,
@@ -143,9 +142,7 @@ async def create_agent(
         if memory_store is None:
             memory_store = CosmosMemoryContext(session_id, user_id)
 
-        # Create a kernel using the AppConfig instance
-        if kernel is None:
-            kernel = config.create_kernel()
+        kernel = config.create_kernel()
 
         # Use default system message if none provided
         if system_message is None:
@@ -201,7 +198,6 @@ async def create_agent(
                 k: v
                 for k, v in {
                     "agent_name": agent_type_str,
-                    "kernel": kernel,
                     "session_id": session_id,
                     "user_id": user_id,
                     "memory_store": memory_store,
@@ -241,7 +237,6 @@ async def create_all_agents(
         user_id: str,
         temperature: float = 0.0,
         memory_store: Optional[CosmosMemoryContext] = None,
-        kernel: Optional[Kernel] = None,
     ) -> Dict[AgentType, BaseAgent]:
         """Create all agent types for a session in a specific order.
 
@@ -284,7 +279,6 @@ async def create_all_agents(
                 user_id=user_id,
                 temperature=temperature,
                 memory_store=memory_store,
-                kernel=kernel,
             )
 
         # Create agent name to instance mapping for the planner

src/backend/kernel_agents/generic_agent.py

@@ -14,7 +14,6 @@ class GenericAgent(BaseAgent):
 
     def __init__(
         self,
-        kernel: sk.Kernel,
         session_id: str,
         user_id: str,
         memory_store: CosmosMemoryContext,
@@ -27,7 +26,6 @@ def __init__(
         """Initialize the Generic Agent.
 
         Args:
-            kernel: The semantic kernel instance
             session_id: The current session identifier
             user_id: The user identifier
             memory_store: The Cosmos memory context
@@ -55,7 +53,6 @@ def __init__(
         # Call the parent initializer
         super().__init__(
             agent_name=agent_name,
-            kernel=kernel,
             session_id=session_id,
             user_id=user_id,
             memory_store=memory_store,

src/backend/kernel_agents/group_chat_manager.py

@@ -40,7 +40,6 @@ class GroupChatManager(BaseAgent):
 
     def __init__(
         self,
-        kernel: sk.Kernel,
         session_id: str,
         user_id: str,
         memory_store: CosmosMemoryContext,
@@ -76,7 +75,6 @@ def __init__(
         # Initialize the base agent
         super().__init__(
             agent_name=agent_name,
-            kernel=kernel,
             session_id=session_id,
             user_id=user_id,
             memory_store=memory_store,

src/backend/kernel_agents/hr_agent.py

@@ -17,7 +17,6 @@ class HrAgent(BaseAgent):
 
     def __init__(
         self,
-        kernel: sk.Kernel,
         session_id: str,
         user_id: str,
         memory_store: CosmosMemoryContext,
@@ -55,7 +54,6 @@ def __init__(
 
         super().__init__(
             agent_name=agent_name,
-            kernel=kernel,
             session_id=session_id,
             user_id=user_id,
             memory_store=memory_store,

src/backend/kernel_agents/human_agent.py

@@ -28,7 +28,6 @@ class HumanAgent(BaseAgent):
 
     def __init__(
         self,
-        kernel: sk.Kernel,
         session_id: str,
         user_id: str,
         memory_store: CosmosMemoryContext,
@@ -67,7 +66,6 @@ def __init__(
 
         super().__init__(
             agent_name=agent_name,
-            kernel=kernel,
             session_id=session_id,
             user_id=user_id,
             memory_store=memory_store,

src/backend/kernel_agents/marketing_agent.py

@@ -16,14 +16,12 @@ class MarketingAgent(BaseAgent):
 
     def __init__(
         self,
-        kernel: sk.Kernel,
         session_id: str,
         user_id: str,
         memory_store: CosmosMemoryContext,
         tools: Optional[List[KernelFunction]] = None,
         system_message: Optional[str] = None,
         agent_name: str = AgentType.MARKETING.value,
-        config_path: Optional[str] = None,
         client=None,
         definition=None,
     ) -> None:
@@ -55,7 +53,6 @@ def __init__(
 
         super().__init__(
             agent_name=agent_name,
-            kernel=kernel,
             session_id=session_id,
             user_id=user_id,
             memory_store=memory_store,

src/backend/kernel_agents/planner_agent.py

@@ -43,7 +43,6 @@ class PlannerAgent(BaseAgent):
 
     def __init__(
         self,
-        kernel: sk.Kernel,
         session_id: str,
         user_id: str,
         memory_store: CosmosMemoryContext,
@@ -59,7 +58,6 @@ def __init__(
         """Initialize the Planner Agent.
 
         Args:
-            kernel: The semantic kernel instance
             session_id: The current session identifier
             user_id: The user identifier
             memory_store: The Cosmos memory context
@@ -80,7 +78,6 @@ def __init__(
         # Initialize the base agent
         super().__init__(
             agent_name=agent_name,
-            kernel=kernel,
             session_id=session_id,
             user_id=user_id,
             memory_store=memory_store,
@@ -129,7 +126,6 @@ async def async_init(self) -> None:
             if not self._agent:
                 # Create the Azure AI Agent using AppConfig with string instructions
                 self._agent = await config.create_azure_ai_agent(
-                    kernel=self._kernel,
                     agent_name=self._agent_name,
                     instructions=instructions,  # Pass the formatted string, not an object
                     temperature=0.0,