diff --git a/infra/main.bicep b/infra/main.bicep
index 840b9a78..d20c60a1 100644
--- a/infra/main.bicep
+++ b/infra/main.bicep
@@ -63,7 +63,7 @@ var modelVersion = '2024-08-06'
 var aiServicesName = '${prefix}-aiservices'
 var deploymentType  = 'GlobalStandard'
 var gptModelVersion = 'gpt-4o'
-var appVersion = 'latest'
+var appVersion = 'fnd01'
 var resgistryName = 'biabcontainerreg'
 var dockerRegistryUrl = 'https://${resgistryName}.azurecr.io'
 
@@ -196,6 +196,7 @@ resource cosmos 'Microsoft.DocumentDB/databaseAccounts@2024-05-15' = {
         locationName: location
       }
     ]
+    disableLocalAuth: true
     capabilities: [ { name: 'EnableServerless' } ]
   }
 
diff --git a/src/backend/app_config.py b/src/backend/app_config.py
index e1dc8cfa..b35732a9 100644
--- a/src/backend/app_config.py
+++ b/src/backend/app_config.py
@@ -220,30 +220,41 @@ async def create_azure_ai_agent(
             if client is None:
                 client = self.get_ai_project_client()
 
-            # First try to get an existing agent with this name as assistant_id
-            try:
-
-                existing_definition = await client.agents.get_agent(agent_name)
-                # Create the agent instance directly with project_client and existing definition
-                agent = AzureAIAgent(
-                    client=client,
-                    definition=existing_definition,
-                    plugins=tools,
-                )
-
-                return agent
-            except Exception as e:
-                # The Azure AI Projects SDK throws an exception when the agent doesn't exist
-                # (not returning None), so we catch it and proceed to create a new agent
-                if "ResourceNotFound" in str(e) or "404" in str(e):
-                    logging.info(
-                        f"Agent with ID {agent_name} not found. Will create a new one."
-                    )
-                else:
-                    # Log unexpected errors but still try to create a new agent
-                    logging.warning(
-                        f"Unexpected error while retrieving agent {agent_name}: {str(e)}. Attempting to create new agent."
-                    )
+            # # ToDo: This is the fixed code but commenting it out as agent clean up is no happening yet
+            #  # and there are multiple versions of agents due to testing
+            # # First try to get an existing agent with this name as assistant_id
+            # try:
+            #     agent_id = None
+            #     agent_list = await client.agents.list_agents()
+            #     for agent in agent_list.data:
+            #         if agent.name == agent_name:
+            #             agent_id = agent.id
+            #             break
+            #             # If the agent already exists, we can use it directly
+            #             # Get the existing agent definition
+            #     existing_definition = await client.agents.get_agent(agent_id)
+            #     # Create the agent instance directly with project_client and existing definition
+            #     agent = AzureAIAgent(
+            #         client=client,
+            #         definition=existing_definition,
+            #         plugins=tools,
+            #     )
+
+            #     client.agents.list_agents()
+
+            #     return agent
+            # except Exception as e:
+            #     # The Azure AI Projects SDK throws an exception when the agent doesn't exist
+            #     # (not returning None), so we catch it and proceed to create a new agent
+            #     if "ResourceNotFound" in str(e) or "404" in str(e):
+            #         logging.info(
+            #             f"Agent with ID {agent_name} not found. Will create a new one."
+            #         )
+            #     else:
+            #         # Log unexpected errors but still try to create a new agent
+            #         logging.warning(
+            #             f"Unexpected error while retrieving agent {agent_name}: {str(e)}. Attempting to create new agent."
+            #         )
 
             # Create the agent using the project client with the agent_name as both name and assistantId
             agent_definition = await client.agents.create_agent(
diff --git a/src/backend/app_kernel.py b/src/backend/app_kernel.py
index ccca8a74..6772463b 100644
--- a/src/backend/app_kernel.py
+++ b/src/backend/app_kernel.py
@@ -40,16 +40,21 @@
 from event_utils import track_event_if_configured
 from models.messages_kernel import AgentType
 from kernel_agents.agent_factory import AgentFactory
+from app_config import config
 
 # # Check if the Application Insights Instrumentation Key is set in the environment variables
-# instrumentation_key = os.getenv("APPLICATIONINSIGHTS_INSTRUMENTATION_KEY")
-# if instrumentation_key:
-#     # Configure Application Insights if the Instrumentation Key is found
-#     configure_azure_monitor(connection_string=instrumentation_key)
-#     logging.info("Application Insights configured with the provided Instrumentation Key")
-# else:
-#     # Log a warning if the Instrumentation Key is not found
-#     logging.warning("No Application Insights Instrumentation Key found. Skipping configuration")
+instrumentation_key = os.getenv("APPLICATIONINSIGHTS_INSTRUMENTATION_KEY")
+if instrumentation_key:
+    # Configure Application Insights if the Instrumentation Key is found
+    configure_azure_monitor(connection_string=instrumentation_key)
+    logging.info(
+        "Application Insights configured with the provided Instrumentation Key"
+    )
+else:
+    # Log a warning if the Instrumentation Key is not found
+    logging.warning(
+        "No Application Insights Instrumentation Key found. Skipping configuration"
+    )
 
 # Configure logging
 logging.basicConfig(level=logging.INFO)
@@ -61,9 +66,9 @@
 logging.getLogger("azure.identity.aio._internal").setLevel(logging.WARNING)
 
 # # Suppress info logs from OpenTelemetry exporter
-# logging.getLogger("azure.monitor.opentelemetry.exporter.export._base").setLevel(
-#     logging.WARNING
-# )
+logging.getLogger("azure.monitor.opentelemetry.exporter.export._base").setLevel(
+    logging.WARNING
+)
 
 # Initialize the FastAPI app
 app = FastAPI()
@@ -124,10 +129,17 @@ async def input_task_endpoint(input_task: InputTask, request: Request):
         kernel, memory_store = await initialize_runtime_and_context(
             input_task.session_id, user_id
         )
+        client = None
+        try:
+            client = config.get_ai_project_client()
+        except Exception as client_exc:
+            logging.error(f"Error creating AIProjectClient: {client_exc}")
+
         agents = await AgentFactory.create_all_agents(
             session_id=input_task.session_id,
             user_id=user_id,
             memory_store=memory_store,
+            client=client,
         )
 
         group_chat_manager = agents[AgentType.GROUP_CHAT_MANAGER.value]
@@ -161,7 +173,11 @@ async def input_task_endpoint(input_task: InputTask, request: Request):
                 "description": input_task.description,
             },
         )
-
+        if client:
+            try:
+                client.close()
+            except Exception as e:
+                logging.error(f"Error sending to AIProjectClient: {e}")
         return {
             "status": f"Plan created with ID: {plan.id}",
             "session_id": input_task.session_id,
@@ -249,12 +265,31 @@ async def human_feedback_endpoint(human_feedback: HumanFeedback, request: Reques
     kernel, memory_store = await initialize_runtime_and_context(
         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
+
+    client = None
+    try:
+        client = config.get_ai_project_client()
+    except Exception as client_exc:
+        logging.error(f"Error creating AIProjectClient: {client_exc}")
+
+    human_agent = await AgentFactory.create_agent(
+        agent_type=AgentType.HUMAN,
+        session_id=human_feedback.session_id,
+        user_id=user_id,
+        memory_store=memory_store,
+        client=client,
     )
 
-    # Send the feedback to the human agent
-    human_agent = agents[AgentType.HUMAN.value]
+    if human_agent is None:
+        track_event_if_configured(
+            "AgentNotFound",
+            {
+                "status": "Agent not found",
+                "session_id": human_feedback.session_id,
+                "step_id": human_feedback.step_id,
+            },
+        )
+        raise HTTPException(status_code=404, detail="Agent not found")
 
     # Use the human agent to handle the feedback
     await human_agent.handle_human_feedback(human_feedback=human_feedback)
@@ -267,7 +302,11 @@ async def human_feedback_endpoint(human_feedback: HumanFeedback, request: Reques
             "step_id": human_feedback.step_id,
         },
     )
-
+    if client:
+        try:
+            client.close()
+        except Exception as e:
+            logging.error(f"Error sending to AIProjectClient: {e}")
     return {
         "status": "Feedback received",
         "session_id": human_feedback.session_id,
@@ -333,14 +372,30 @@ async def human_clarification_endpoint(
     kernel, memory_store = await initialize_runtime_and_context(
         human_clarification.session_id, user_id
     )
-    agents = await AgentFactory.create_all_agents(
+    client = None
+    try:
+        client = config.get_ai_project_client()
+    except Exception as client_exc:
+        logging.error(f"Error creating AIProjectClient: {client_exc}")
+
+    human_agent = await AgentFactory.create_agent(
+        agent_type=AgentType.HUMAN,
         session_id=human_clarification.session_id,
         user_id=user_id,
         memory_store=memory_store,
+        client=client,
     )
 
-    # Send the feedback to the human agent
-    human_agent = agents[AgentType.HUMAN.value]
+    if human_agent is None:
+        track_event_if_configured(
+            "AgentNotFound",
+            {
+                "status": "Agent not found",
+                "session_id": human_clarification.session_id,
+                "step_id": human_clarification.step_id,
+            },
+        )
+        raise HTTPException(status_code=404, detail="Agent not found")
 
     # Use the human agent to handle the feedback
     await human_agent.handle_human_clarification(
@@ -354,7 +409,11 @@ async def human_clarification_endpoint(
             "session_id": human_clarification.session_id,
         },
     )
-
+    if client:
+        try:
+            client.close()
+        except Exception as e:
+            logging.error(f"Error sending to AIProjectClient: {e}")
     return {
         "status": "Clarification received",
         "session_id": human_clarification.session_id,
@@ -427,10 +486,16 @@ async def approve_step_endpoint(
     kernel, memory_store = await initialize_runtime_and_context(
         human_feedback.session_id, user_id
     )
+    client = None
+    try:
+        client = config.get_ai_project_client()
+    except Exception as client_exc:
+        logging.error(f"Error creating AIProjectClient: {client_exc}")
     agents = await AgentFactory.create_all_agents(
         session_id=human_feedback.session_id,
         user_id=user_id,
         memory_store=memory_store,
+        client=client,
     )
 
     # Send the approval to the group chat manager
@@ -438,6 +503,11 @@ async def approve_step_endpoint(
 
     await group_chat_manager.handle_human_feedback(human_feedback)
 
+    if client:
+        try:
+            client.close()
+        except Exception as e:
+            logging.error(f"Error sending to AIProjectClient: {e}")
     # Return a status message
     if human_feedback.step_id:
         track_event_if_configured(
diff --git a/src/backend/event_utils.py b/src/backend/event_utils.py
index 4e6f67ca..c04214b6 100644
--- a/src/backend/event_utils.py
+++ b/src/backend/event_utils.py
@@ -5,10 +5,10 @@
 
 def track_event_if_configured(event_name: str, event_data: dict):
     """Track an event if Application Insights is configured.
-    
+
     This function safely wraps the Azure Monitor track_event function
     to handle potential errors with the ProxyLogger.
-    
+
     Args:
         event_name: The name of the event to track
         event_data: Dictionary of event data/dimensions
@@ -17,8 +17,10 @@ def track_event_if_configured(event_name: str, event_data: dict):
         instrumentation_key = os.getenv("APPLICATIONINSIGHTS_CONNECTION_STRING")
         if instrumentation_key:
             track_event(event_name, event_data)
-        # else:
-        #     logging.warning(f"Skipping track_event for {event_name} as Application Insights is not configured")
+        else:
+            logging.warning(
+                f"Skipping track_event for {event_name} as Application Insights is not configured"
+            )
     except AttributeError as e:
         # Handle the 'ProxyLogger' object has no attribute 'resource' error
         logging.warning(f"ProxyLogger error in track_event: {e}")
diff --git a/src/backend/kernel_agents/agent_factory.py b/src/backend/kernel_agents/agent_factory.py
index 01e715e7..6fa17ff6 100644
--- a/src/backend/kernel_agents/agent_factory.py
+++ b/src/backend/kernel_agents/agent_factory.py
@@ -158,7 +158,6 @@ async def create_agent(
 
         # Build the agent definition (functions schema)
         definition = None
-        client = None
 
         try:
             if client is None:
@@ -239,6 +238,7 @@ async def create_all_agents(
         user_id: str,
         temperature: float = 0.0,
         memory_store: Optional[CosmosMemoryContext] = None,
+        client: Optional[Any] = None,
     ) -> Dict[AgentType, BaseAgent]:
         """Create all agent types for a session in a specific order.
 
@@ -265,6 +265,13 @@ async def create_all_agents(
         planner_agent_type = AgentType.PLANNER
         group_chat_manager_type = AgentType.GROUP_CHAT_MANAGER
 
+        try:
+            if client is None:
+                # Create the AIProjectClient instance using the config
+                # This is a placeholder; replace with actual client creation logic
+                client = config.get_ai_project_client()
+        except Exception as client_exc:
+            logger.error(f"Error creating AIProjectClient: {client_exc}")
         # Initialize cache for this session if it doesn't exist
         if session_id not in cls._agent_cache:
             cls._agent_cache[session_id] = {}
@@ -280,6 +287,7 @@ async def create_all_agents(
                 session_id=session_id,
                 user_id=user_id,
                 temperature=temperature,
+                client=client,
                 memory_store=memory_store,
             )
 
@@ -305,6 +313,7 @@ async def create_all_agents(
             user_id=user_id,
             temperature=temperature,
             agent_instances=agent_instances,  # Pass agent instances to the planner
+            client=client,
             response_format=ResponseFormatJsonSchemaType(
                 json_schema=ResponseFormatJsonSchema(
                     name=PlannerResponsePlan.__name__,
@@ -324,6 +333,7 @@ async def create_all_agents(
             session_id=session_id,
             user_id=user_id,
             temperature=temperature,
+            client=client,
             agent_instances=agent_instances,  # Pass agent instances to the planner
         )
         agents[group_chat_manager_type] = group_chat_manager
diff --git a/src/backend/uv.lock b/src/backend/uv.lock
new file mode 100644
index 00000000..61b0afad
--- /dev/null
+++ b/src/backend/uv.lock
@@ -0,0 +1,3404 @@
+version = 1
+revision = 2
+requires-python = ">=3.11"
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version == '3.12.*'",
+    "python_full_version < '3.12'",
+]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.11.18"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohappyeyeballs" },
+    { name = "aiosignal" },
+    { name = "attrs" },
+    { name = "frozenlist" },
+    { name = "multidict" },
+    { name = "propcache" },
+    { name = "yarl" },
+]
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+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ce/20/08dfcd9c983f6a6f4a1000d934b9e6d626cff8d2eeb77a89a68eef20a2b7/starlette-0.46.2.tar.gz", hash = "sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5", size = 2580846, upload-time = "2025-04-13T13:56:17.942Z" }
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+    { url = "https://files.pythonhosted.org/packages/8b/0c/9d30a4ebeb6db2b25a841afbb80f6ef9a854fc3b41be131d249a977b4959/starlette-0.46.2-py3-none-any.whl", hash = "sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35", size = 72037, upload-time = "2025-04-13T13:56:16.21Z" },
+]
+
+[[package]]
+name = "typing-extensions"
+version = "4.13.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f6/37/23083fcd6e35492953e8d2aaaa68b860eb422b34627b13f2ce3eb6106061/typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef", size = 106967, upload-time = "2025-04-10T14:19:05.416Z" }
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+    { url = "https://files.pythonhosted.org/packages/8b/54/b1ae86c0973cc6f0210b53d508ca3641fb6d0c56823f288d108bc7ab3cc8/typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c", size = 45806, upload-time = "2025-04-10T14:19:03.967Z" },
+]
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+[[package]]
+name = "typing-inspection"
+version = "0.4.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/82/5c/e6082df02e215b846b4b8c0b887a64d7d08ffaba30605502639d44c06b82/typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122", size = 76222, upload-time = "2025-02-25T17:27:59.638Z" }
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+[[package]]
+name = "urllib3"
+version = "2.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8a/78/16493d9c386d8e60e442a35feac5e00f0913c0f4b7c217c11e8ec2ff53e0/urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466", size = 390672, upload-time = "2025-04-10T15:23:39.232Z" }
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+[[package]]
+name = "uvicorn"
+version = "0.34.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "click" },
+    { name = "h11" },
+]
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+    { url = "https://files.pythonhosted.org/packages/b1/4b/4cef6ce21a2aaca9d852a6e84ef4f135d99fcd74fa75105e2fc0c8308acd/uvicorn-0.34.2-py3-none-any.whl", hash = "sha256:deb49af569084536d269fe0a6d67e3754f104cf03aba7c11c40f01aadf33c403", size = 62483, upload-time = "2025-04-19T06:02:48.42Z" },
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diff --git a/src/frontend/wwwroot/task/task.js b/src/frontend/wwwroot/task/task.js
index ba9db82e..9dab6806 100644
--- a/src/frontend/wwwroot/task/task.js
+++ b/src/frontend/wwwroot/task/task.js
@@ -8,7 +8,7 @@
   const taskPauseButton = document.getElementById("taskPauseButton");
   const taskAgentsButton = document.getElementById("taskAgentsButton");
   const taskWokFlowButton = document.getElementById("taskWokFlowButton");
-  const taskMessageTextarea=document.getElementById("taskMessageTextarea");
+  const taskMessageTextarea = document.getElementById("taskMessageTextarea");
   const taskMessageAddButton = document.getElementById("taskMessageAddButton");
   const taskMessages = document.getElementById("taskMessages");
   const taskDetailsAgents = document.getElementById("taskDetailsAgents");
@@ -64,34 +64,34 @@
     let agentIcon = "";
 
     switch (agentName) {
-      case "MarketingAgent":
+      case "Marketing_Agent":
         agentIcon = "unknown";
         break;
-      case "HrAgent":
+      case "Hr_Agent":
         agentIcon = "hr_agent";
         break;
-      case "ExpenseBillingAgent":
+      case "Expense_Billing_Agent":
         agentIcon = "expense_billing_agent";
         break;
-      case "InvoiceReconciliationAgent":
+      case "Invoice_Reconciliation_Agent":
         agentIcon = "invoice_reconciliation_agent";
         break;
-      case "TechSupportAgent":
+      case "Tech_Support_Agent":
         agentIcon = "tech_agent";
         break;
-      case "ProcurementAgent":
+      case "Procurement_Agent":
         agentIcon = "procurement_agent";
         break;
-      case "ProductAgent":
+      case "Product_Agent":
         agentIcon = "product_agent";
         break;
-      case "GroupChatManager":
+      case "Group_Chat_Manager":
         agentIcon = "manager";
         break;
-      case "GenericAgent":
+      case "Generic_Agent":
         agentIcon = "manager";
         break;
-      case "HumanAgent":
+      case "Human_Agent":
         let userNumber = getStoredData("userNumber");
         if (userNumber == null) {
           // Generate a random number between 0 and 6
@@ -116,13 +116,13 @@
     // Handle ISO date string format (e.g., 2025-04-25T03:01:13.093260)
     // instead of Unix timestamp
     const date = new Date(timestamp);
-    
+
     // Check if date is valid
     if (isNaN(date.getTime())) {
       console.warn("Invalid date format:", timestamp);
       return "Invalid date";
     }
-    
+
     const options = { month: "short", day: "numeric" };
     const timeOptions = { hour: "numeric", minute: "numeric", hour12: true };
     return `${date.toLocaleDateString(
@@ -136,12 +136,12 @@
   };
 
   const handleDisableOfActions = (status) => {
-    if(status === "completed"){
-      taskPauseButton.disabled=true;
-      taskCancelButton.disabled=true;
+    if (status === "completed") {
+      taskPauseButton.disabled = true;
+      taskCancelButton.disabled = true;
     } else {
-      taskPauseButton.disabled=false;
-      taskCancelButton.disabled=false;
+      taskPauseButton.disabled = false;
+      taskCancelButton.disabled = false;
     }
   }
 
@@ -173,20 +173,20 @@
         const apiTaskStore = JSON.parse(getStoredData("apiTask"));
         handleDisableOfActions("completed")
 
-         // Explicitly disable chatbox and message button
-         taskMessageTextarea.disabled = true;
-         taskMessageTextarea.style.backgroundColor = "#efefef";
-         taskMessageTextarea.style.cursor = 'not-allowed';
- 
-         taskMessageAddButton.disabled = true;
-         taskMessageAddButton.style.cursor = 'not-allowed';
- 
-         const textInputContainer = document.getElementsByClassName("text-input-container");
-         if (textInputContainer[0]) {
-             textInputContainer[0].style.backgroundColor = '#efefef';
-             textInputContainer[0].style.cursor = 'not-allowed';
-         }
- 
+        // Explicitly disable chatbox and message button
+        taskMessageTextarea.disabled = true;
+        taskMessageTextarea.style.backgroundColor = "#efefef";
+        taskMessageTextarea.style.cursor = 'not-allowed';
+
+        taskMessageAddButton.disabled = true;
+        taskMessageAddButton.style.cursor = 'not-allowed';
+
+        const textInputContainer = document.getElementsByClassName("text-input-container");
+        if (textInputContainer[0]) {
+          textInputContainer[0].style.backgroundColor = '#efefef';
+          textInputContainer[0].style.cursor = 'not-allowed';
+        }
+
         actionStages(apiTaskStore, false);
       });
     }
@@ -197,7 +197,7 @@
     taskAgentsVsHumans = [];
 
     agents.forEach((agent) => {
-      const isAvatar = agent === "HumanAgent" ? "is-human" : "is-avatar";
+      const isAvatar = agent === "Human_Agent" ? "is-human" : "is-avatar";
 
       taskDetailsAgents.innerHTML += `
             <figure class="image is-agent ${isAvatar} is-rounded is-32x32 m-1 has-status has-status-active">
@@ -205,7 +205,7 @@
             </figure>
             `;
 
-      agent === "HumanAgent"
+      agent === "Human_Agent"
         ? taskAgentsVsHumans.push("Human")
         : taskAgentsVsHumans.push("Agent");
     });
@@ -244,10 +244,10 @@
         setStoredData("apiTask", JSON.stringify(data[0]));
         //const isHumanClarificationRequestNull = data?.[0]?.human_clarification_request === null
         const isHumanClarificationResponseNotNull = data?.[0]?.human_clarification_response !== null;
-        const taskMessageTextareaElement =document.getElementById("taskMessageTextarea");
+        const taskMessageTextareaElement = document.getElementById("taskMessageTextarea");
         const taskMessageAddButton = document.getElementById("taskMessageAddButton");
         const textInputContainer = document.getElementsByClassName("text-input-container");
-        
+
         if (isHumanClarificationResponseNotNull) {
           // Update the local state to set human_clarification_request to null
           data[0].human_clarification_request = null;
@@ -255,23 +255,23 @@
         }
 
         const isHumanClarificationRequestNull = data?.[0]?.human_clarification_request === null
-        
-        if(isHumanClarificationRequestNull && taskMessageTextareaElement){
+
+        if (isHumanClarificationRequestNull && taskMessageTextareaElement) {
           taskMessageTextareaElement.setAttribute('disabled', true)
           taskMessageTextareaElement.style.backgroundColor = "#efefef";
           taskMessageTextareaElement.style.cursor = 'not-allowed';
-        } 
-        
-        if(isHumanClarificationRequestNull && taskMessageAddButton){
+        }
+
+        if (isHumanClarificationRequestNull && taskMessageAddButton) {
           taskMessageAddButton.setAttribute('disabled', true)
           taskMessageAddButton.style.cursor = 'not-allowed';
-        } 
-        
-        if(isHumanClarificationRequestNull && textInputContainer[0]){ 
+        }
+
+        if (isHumanClarificationRequestNull && textInputContainer[0]) {
           textInputContainer[0].style.backgroundColor = '#efefef';
           textInputContainer[0].style.cursor = 'not-allowed';
-        } 
-       
+        }
+
       })
       .catch((error) => {
         console.error("Error:", error);
@@ -343,15 +343,12 @@
                                 `;
 
               stageItem.innerHTML = `
-                                <a class="menu-stage ${
-                                  stage.status
-                                } ${stageRejected}" data-id="${
-                stage.id
-              }" title="Status: ${stage.status}, Id: ${stage.id}">
+                                <a class="menu-stage ${stage.status
+                } ${stageRejected}" data-id="${stage.id
+                }" title="Status: ${stage.status}, Id: ${stage.id}">
                                     ${stageStatusIcon}
-                                    <span>${taskStageCount + 1}. ${
-                stage.action
-              }</span>
+                                    <span>${taskStageCount + 1}. ${stage.action
+                }</span>
                                     ${stageActions}
                                 </a>
                                 `;
@@ -422,7 +419,10 @@
         .then((response) => response.json())
         .then((data) => {
           const toAgentName = (str) => {
-            return str.replace(/([a-z])([A-Z])/g, "$1 $2");
+            console.log("toAgentName", str);
+            let new_name = str.replace(/_/g, " ");
+            console.log("toAgentName", new_name);
+            return new_name;
           };
 
           const groupByStepId = (messages) => {
@@ -444,8 +444,8 @@
 
             messages.forEach((message) => {
               if (
-                message.source !== "PlannerAgent" &&
-                message.source !== "GroupChatManager"
+                message.source !== "Planner_Agent" &&
+                message.source !== "Group_Chat_Manager"
               ) {
                 filteredMessages.push(message);
               }
@@ -493,9 +493,9 @@
 
                 messageItem.classList.add("media");
                 const isAvatar =
-                  message.source === "HumanAgent" ? "is-human" : "is-avatar";
+                  message.source === "Human_Agent" ? "is-human" : "is-avatar";
                 const isActive =
-                  message.source === "PlannerAgent"
+                  message.source === "Planner_Agent"
                     ? "has-status-busy"
                     : "has-status-active";
 
@@ -519,15 +519,15 @@
                                         <div class="content">
                                             <div class="is-size-7 has-text-weight-medium has-text-grey is-flex">
                                                 ${toAgentName(
-                                                  message.source
-                                                )} • ${toDateTime(
+                  message.source
+                )} • ${toDateTime(
                   message.timestamp
                 )} AI-generated content may be incorrect
                                             </div>
                                             <div class="notification is-light mt-1">
                                                 ${markdownConverter.makeHtml(
-                                                  message.content
-                                                )} ${approveAllStagesButton}
+                  message.content
+                )} ${approveAllStagesButton}
                                             </div>
                                         </div>
                                     </div>
@@ -540,8 +540,8 @@
                                             </div>
                                             <div class="notification is-info is-light mt-1 is-pulled-right">
                                                 ${markdownConverter.makeHtml(
-                                                  message.content
-                                                )}
+                  message.content
+                )}
                                             </div>
                                         </div>
                                     </div>
@@ -554,7 +554,7 @@
                                     `;
 
                 const messageTemplate =
-                  message.source === "HumanAgent" ? messageRight : messageLeft;
+                  message.source === "Human_Agent" ? messageRight : messageLeft;
                 messageItem.innerHTML = messageTemplate;
                 taskMessages.appendChild(messageItem);
 
@@ -643,10 +643,10 @@
       removeClassesExcept(taskStatusTag, "tag");
       taskStatusTag.classList.add("is-info");
       const iconElement = taskPauseButton.querySelector("i");
-         if (iconElement.classList.contains("fa-circle-play")) {
-           iconElement.classList.remove("fa-circle-play");
-           iconElement.classList.add("fa-circle-pause");
-         }
+      if (iconElement.classList.contains("fa-circle-play")) {
+        iconElement.classList.remove("fa-circle-play");
+        iconElement.classList.add("fa-circle-pause");
+      }
 
     }
     handleDisableOfActions(task.overall_status)
@@ -797,7 +797,7 @@
           // Update the lastDataHash to the new hash
           lastDataHash = newDataHash;
 
-       
+
         } catch (error) {
           console.error("Error in fetchLoop:", error);
         }
@@ -854,7 +854,7 @@
                 charCount.textContent = "0";
               }
               updateButtonImage();
-              
+
               notyf.success("Additional details registered in plan.");
             })
             .catch((error) => {