Changes from Francia plus fix

Author: marktayl1

src/backend/v3/common/services/foundry_service.py

@@ -1,9 +1,10 @@
-from typing import Any, Dict, List
 import logging
 import re
-from azure.ai.projects.aio import AIProjectClient
+from typing import Any, Dict, List
+
 #from git import List
 import aiohttp
+from azure.ai.projects.aio import AIProjectClient
 from common.config.app_config import config
 
 
@@ -54,7 +55,7 @@ async def list_model_deployments(self) -> List[Dict[str, Any]]:
 
         try:
             # Get Azure Management API token (not Cognitive Services token)
-            token = config.get_access_token()
+            token = await config.get_access_token()
 
             # Extract Azure OpenAI resource name from endpoint URL
             openai_endpoint = config.AZURE_OPENAI_ENDPOINT

src/backend/v3/config/settings.py

@@ -34,7 +34,7 @@ def __init__(self):
         # Create credential
         self.credential = config.get_azure_credentials()
 
-    def create_chat_completion_service(self, use_reasoning_model: bool=False):
+    async def create_chat_completion_service(self, use_reasoning_model: bool=False):
         """Create Azure Chat Completion service."""
         model_name = (
             self.reasoning_model if use_reasoning_model else self.standard_model
@@ -43,7 +43,7 @@ def create_chat_completion_service(self, use_reasoning_model: bool=False):
         return AzureChatCompletion(
             deployment_name=model_name,
             endpoint=self.endpoint,
-            ad_token_provider=config.get_access_token(),
+            ad_token_provider= await config.get_access_token(),
         )
 
     def create_execution_settings(self):

src/backend/v3/magentic_agents/reasoning_agent.py

@@ -2,14 +2,15 @@
 import os
 
 from azure.identity import DefaultAzureCredential as SyncDefaultAzureCredential
+from common.config.app_config import config
 from semantic_kernel import Kernel
 from semantic_kernel.agents import ChatCompletionAgent  # pylint: disable=E0611
 from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion
 from semantic_kernel.connectors.azure_ai_search import AzureAISearchCollection
 from v3.magentic_agents.common.lifecycle import MCPEnabledBase
 from v3.magentic_agents.models.agent_models import MCPConfig, SearchConfig
 from v3.magentic_agents.reasoning_search import ReasoningSearch
-from common.config.app_config import config
+
 
 class ReasoningAgentTemplate(MCPEnabledBase):
     """
@@ -41,7 +42,7 @@ async def _after_open(self) -> None:
         chat = AzureChatCompletion(
             deployment_name=self._model_deployment_name,
             endpoint=self._openai_endpoint,
-            ad_token_provider=config.get_access_token()
+            ad_token_provider= await config.get_access_token()
         )
         self.kernel.add_service(chat)
 

src/backend/v3/orchestration/orchestration_manager.py

@@ -8,6 +8,7 @@
 from typing import List, Optional
 
 from azure.identity import DefaultAzureCredential as SyncDefaultAzureCredential
+from common.config.app_config import config
 from common.models.messages_kernel import TeamConfiguration
 from semantic_kernel.agents.orchestration.magentic import MagenticOrchestration
 from semantic_kernel.agents.runtime import InProcessRuntime
@@ -20,7 +21,6 @@
                                             streaming_agent_response_callback)
 from v3.config.settings import (config, connection_config, current_user_id,
                                 orchestration_config)
-from common.config.app_config import config
 from v3.magentic_agents.magentic_agent_factory import MagenticAgentFactory
 from v3.orchestration.human_approval_manager import \
     HumanApprovalMagenticManager
@@ -44,15 +44,20 @@ async def init_orchestration(cls, agents: List, user_id: str = None)-> MagenticO
             temperature=0.1
         )
 
+        credential = SyncDefaultAzureCredential()
 
+        def get_token():
+            token = credential.get_token("https://cognitiveservices.azure.com/.default")
+            return token.token
+        
         # 1. Create a Magentic orchestration with Azure OpenAI
         magentic_orchestration = MagenticOrchestration(
             members=agents,
             manager=HumanApprovalMagenticManager(
                 chat_completion_service=AzureChatCompletion(
                     deployment_name=config.AZURE_OPENAI_DEPLOYMENT_NAME,
                     endpoint=config.AZURE_OPENAI_ENDPOINT,
-                    ad_token_provider=config.get_access_token()
+                    ad_token_provider=get_token  # Use token provider function
                 ),
                 execution_settings=execution_settings
             ),