refactor: FDP Backend Changes Macae

src/backend/.env.sample

@@ -12,10 +12,10 @@ AZURE_AI_PROJECT_ENDPOINT=
 AZURE_AI_SUBSCRIPTION_ID=
 AZURE_AI_RESOURCE_GROUP=
 AZURE_AI_PROJECT_NAME=
-AZURE_AI_AGENT_PROJECT_CONNECTION_STRING=
 AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4o
+AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME=gpt-4o
 APPLICATIONINSIGHTS_CONNECTION_STRING=
+AZURE_AI_AGENT_ENDPOINT=
 
-
-BACKEND_API_URL='http://localhost:8000'
-FRONTEND_SITE_NAME='http://127.0.0.1:3000'
+BACKEND_API_URL=http://localhost:8000
+FRONTEND_SITE_NAME=http://127.0.0.1:3000

src/backend/app_config.py

@@ -49,9 +49,7 @@ def __init__(self):
         self.AZURE_AI_SUBSCRIPTION_ID = self._get_required("AZURE_AI_SUBSCRIPTION_ID")
         self.AZURE_AI_RESOURCE_GROUP = self._get_required("AZURE_AI_RESOURCE_GROUP")
         self.AZURE_AI_PROJECT_NAME = self._get_required("AZURE_AI_PROJECT_NAME")
-        self.AZURE_AI_AGENT_PROJECT_CONNECTION_STRING = self._get_required(
-            "AZURE_AI_AGENT_PROJECT_CONNECTION_STRING"
-        )
+        self.AZURE_AI_AGENT_ENDPOINT = self._get_required("AZURE_AI_AGENT_ENDPOINT")
 
         # Cached clients and resources
         self._azure_credentials = None
@@ -177,10 +175,8 @@ def get_ai_project_client(self):
                     "Unable to acquire Azure credentials; ensure DefaultAzureCredential is configured"
                 )
 
-            connection_string = self.AZURE_AI_AGENT_PROJECT_CONNECTION_STRING
-            self._ai_project_client = AIProjectClient.from_connection_string(
-                credential=credential, conn_str=connection_string
-            )
+            endpoint = self.AZURE_AI_AGENT_ENDPOINT
+            self._ai_project_client = AIProjectClient(endpoint=endpoint, credential=credential)
 
             return self._ai_project_client
         except Exception as exc:

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
 
@@ -38,7 +38,7 @@
 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"
     )

src/backend/config_kernel.py

@@ -26,9 +26,7 @@ class Config:
     AZURE_AI_SUBSCRIPTION_ID = config.AZURE_AI_SUBSCRIPTION_ID
     AZURE_AI_RESOURCE_GROUP = config.AZURE_AI_RESOURCE_GROUP
     AZURE_AI_PROJECT_NAME = config.AZURE_AI_PROJECT_NAME
-    AZURE_AI_AGENT_PROJECT_CONNECTION_STRING = (
-        config.AZURE_AI_AGENT_PROJECT_CONNECTION_STRING
-    )
+    AZURE_AI_AGENT_ENDPOINT = config.AZURE_AI_AGENT_ENDPOINT
 
     @staticmethod
     def GetAzureCredentials():

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

@@ -6,8 +6,8 @@
 
 # Import the new AppConfig instance
 from app_config import config
-from azure.ai.projects.models import (ResponseFormatJsonSchema,
-                                      ResponseFormatJsonSchemaType)
+from azure.ai.agents.models import (ResponseFormatJsonSchema,
+                                    ResponseFormatJsonSchemaType)
 from context.cosmos_memory_kernel import CosmosMemoryContext
 from kernel_agents.agent_base import BaseAgent
 from kernel_agents.generic_agent import GenericAgent

src/backend/kernel_agents/planner_agent.py

@@ -3,8 +3,8 @@
 import uuid
 from typing import Any, Dict, List, Optional, Tuple
 
-from azure.ai.projects.models import (ResponseFormatJsonSchema,
-                                      ResponseFormatJsonSchemaType)
+from azure.ai.agents.models import (ResponseFormatJsonSchema,
+                                    ResponseFormatJsonSchemaType)
 from context.cosmos_memory_kernel import CosmosMemoryContext
 from event_utils import track_event_if_configured
 from kernel_agents.agent_base import BaseAgent

src/backend/pyproject.toml

@@ -26,6 +26,6 @@ dependencies = [
     "pytest-cov==5.0.0",
     "python-dotenv>=1.1.0",
     "python-multipart>=0.0.20",
-    "semantic-kernel>=1.28.1",
+    "semantic-kernel>=1.32.2",
     "uvicorn>=0.34.2",
 ]

src/backend/requirements.txt

@@ -14,9 +14,9 @@ opentelemetry-instrumentation-fastapi
 opentelemetry-instrumentation-openai
 opentelemetry-exporter-otlp-proto-http
 
-semantic-kernel[azure]==1.28.1
-azure-ai-projects==1.0.0b10 
-openai 
+semantic-kernel[azure]==1.32.2
+azure-ai-projects==1.0.0b11
+openai==1.84.0 
 azure-ai-inference==1.0.0b9 
 azure-search-documents 
 azure-ai-evaluation