updated the logging and resolved the HR scenario issue

Author: Dhruvkumar-Microsoft

src/backend/app.py

@@ -3,9 +3,14 @@
 
 from contextlib import asynccontextmanager
 
+from common.config.app_config import config
+
+# Configure logging levels FIRST, before any logging calls
+logging.basicConfig(level=getattr(logging, config.AZURE_BASIC_LOGGING_LEVEL.upper(), logging.INFO))
+
 
 from azure.monitor.opentelemetry import configure_azure_monitor
-from common.config.app_config import config
+#from common.config.app_config import config
 from common.models.messages_af import UserLanguage
 
 # FastAPI imports
@@ -61,7 +66,7 @@ async def lifespan(app: FastAPI):
     )
 
 # Configure logging levels from environment variables
-logging.basicConfig(level=getattr(logging, config.AZURE_BASIC_LOGGING_LEVEL.upper(), logging.INFO))
+#logging.basicConfig(level=getattr(logging, config.AZURE_BASIC_LOGGING_LEVEL.upper(), logging.INFO))
 
 # Configure Azure package logging levels
 azure_level = getattr(logging, config.AZURE_PACKAGE_LOGGING_LEVEL.upper(), logging.WARNING)
@@ -73,6 +78,8 @@ async def lifespan(app: FastAPI):
 
 logging.getLogger("opentelemetry.sdk").setLevel(logging.ERROR)
 
+logging.getLogger("azure.core.pipeline.policies.http_logging_policy").setLevel(logging.WARNING)
+
 # Initialize the FastAPI app
 app = FastAPI(lifespan=lifespan)
 

src/backend/v4/magentic_agents/foundry_agent.py

@@ -227,6 +227,7 @@ async def _create_azure_search_enabled_client(self, chatClient=None) -> Optional
                 project_endpoint=self.project_endpoint,
                 agent_name=azure_agent.name,
                 agent_version=azure_agent.version,  # Use the specific version we just created
+                model_deployment_name=self.model_deployment_name,
                 credential=self.creds,
             )
             return chat_client
@@ -282,6 +283,7 @@ async def _after_open(self) -> None:
                     tool_choice="required",  # Force usage
                     temperature=temp,
                     model_id=self.model_deployment_name,
+                    default_options={"store": False},  # Client-managed conversation to avoid stale tool call IDs across rounds
                 )
             else:
                 # use MCP path
@@ -297,6 +299,7 @@ async def _after_open(self) -> None:
                     tool_choice="auto" if tools else "none",
                     temperature=temp,
                     model_id=self.model_deployment_name,
+                    default_options={"store": False},  # Client-managed conversation to avoid stale tool call IDs across rounds
                 )
             self.logger.info("Initialized ChatAgent '%s'", self.agent_name)
 

src/backend/v4/orchestration/orchestration_manager.py

@@ -146,6 +146,7 @@ async def init_orchestration(
                 name="MagenticManager",
                 description="Orchestrator that coordinates the team to complete complex tasks efficiently.",
                 instructions="You coordinate a team to complete complex tasks efficiently.",
+                default_options={"store": False},  # Client-managed conversation to avoid stale tool call IDs across rounds
             )
 
             cls.logger.info(