resolved pylint and agent recreation issue

Author: Abdul-Microsoft

src/backend/app_kernel.py

@@ -10,7 +10,7 @@
 from auth.auth_utils import get_authenticated_user_details
 
 # Azure monitoring
-from azure.monitor.opentelemetry import configure_azure_monitor
+# from azure.monitor.opentelemetry import configure_azure_monitor
 from config_kernel import Config
 from event_utils import track_event_if_configured
 
@@ -34,11 +34,11 @@
 # Updated import for KernelArguments
 from utils_kernel import initialize_runtime_and_context, rai_success
 
-#Check if the Application Insights Instrumentation Key is set in the environment variables
+# Check if the Application Insights Instrumentation Key is set in the environment variables
 connection_string = os.getenv("APPLICATIONINSIGHTS_CONNECTION_STRING")
 if connection_string:
     # Configure Application Insights if the Instrumentation Key is found
-    configure_azure_monitor(connection_string=connection_string)
+    # configure_azure_monitor(connection_string=connection_string)
     logging.info(
         "Application Insights configured with the provided Instrumentation Key"
     )
@@ -51,7 +51,6 @@
 # Configure logging
 logging.basicConfig(level=logging.INFO)
 
-
 # Suppress INFO logs from 'azure.core.pipeline.policies.http_logging_policy'
 logging.getLogger("azure.core.pipeline.policies.http_logging_policy").setLevel(
     logging.WARNING

src/backend/kernel_agents/agent_base.py

@@ -276,8 +276,8 @@ async def _create_azure_ai_agent_definition(
             # # 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:
+                agent_list = client.agents.list_agents()
+                async for agent in agent_list:
                     if agent.name == agent_name:
                         agent_id = agent.id
                         break

src/backend/kernel_agents/agent_factory.py

@@ -7,7 +7,7 @@
 # Import the new AppConfig instance
 from app_config import config
 from azure.ai.agents.models import (ResponseFormatJsonSchema,
-                                      ResponseFormatJsonSchemaType)
+                                    ResponseFormatJsonSchemaType)
 from context.cosmos_memory_kernel import CosmosMemoryContext
 from kernel_agents.agent_base import BaseAgent
 from kernel_agents.generic_agent import GenericAgent
@@ -326,4 +326,4 @@ def clear_cache(cls, session_id: Optional[str] = None) -> None:
         else:
             cls._agent_cache.clear()
             cls._azure_ai_agent_cache.clear()
-            logger.info("Cleared all agent caches")
+            logger.info("Cleared all agent caches")

src/backend/kernel_agents/planner_agent.py

@@ -4,7 +4,7 @@
 from typing import Any, Dict, List, Optional, Tuple
 
 from azure.ai.agents.models import (ResponseFormatJsonSchema,
-                                      ResponseFormatJsonSchemaType)
+                                    ResponseFormatJsonSchemaType)
 from context.cosmos_memory_kernel import CosmosMemoryContext
 from event_utils import track_event_if_configured
 from kernel_agents.agent_base import BaseAgent
@@ -596,4 +596,4 @@ def _get_template():
             Choose from {{$agents_str}} ONLY for planning your steps.
 
             """
-        return instruction_template
+        return instruction_template