fixes for the id stuff - added temp difference btwn reasoning and non reasoning.

Author: marktayl1

src/backend/common/utils/utils_af.py

@@ -2,13 +2,15 @@
 
 import logging
 
+from common.config.app_config import config
 # Converted import path (agent_framework version of FoundryAgentTemplate)
 from common.database.database_base import DatabaseBase
 from common.models.messages_af import TeamConfiguration
 from v4.common.services.team_service import TeamService
-from v4.magentic_agents.foundry_agent import FoundryAgentTemplate  # formerly v4.magentic_agents.foundry_agent
 from v4.config.agent_registry import agent_registry
-from common.config.app_config import config
+from v4.magentic_agents.foundry_agent import \
+    FoundryAgentTemplate  # formerly v4.magentic_agents.foundry_agent
+
 logging.basicConfig(level=logging.INFO)
 
 async def find_first_available_team(team_service: TeamService, user_id: str) -> str:
@@ -62,6 +64,7 @@ async def create_RAI_agent(team: TeamConfiguration, memory_store: DatabaseBase)
         agent_name=agent_name,
         agent_description=agent_description,
         agent_instructions=agent_instructions,
+        use_reasoning=False,
         model_deployment_name=model_deployment_name,
         enable_code_interpreter=False,
         project_endpoint=config.AZURE_AI_PROJECT_ENDPOINT,

src/backend/v4/magentic_agents/common/lifecycle.py

@@ -2,33 +2,23 @@
 
 import logging
 import os
-from contextlib import AsyncExitStack
 import secrets
 import string
+from contextlib import AsyncExitStack
 from typing import Any, Optional
 
-from agent_framework import (
-    AggregateContextProvider,
-    ChatAgent,
-    ChatClientProtocol,
-    ChatMessage,
-    ChatMessageStoreProtocol,
-    ChatOptions,
-    ContextProvider,
-    HostedMCPTool,
-    MCPStreamableHTTPTool,
-    Middleware,
-    Role,
-    ToolMode,
-    ToolProtocol,
-)
-
+from agent_framework import (AggregateContextProvider, ChatAgent,
+                             ChatClientProtocol, ChatMessage,
+                             ChatMessageStoreProtocol, ChatOptions,
+                             ContextProvider, HostedMCPTool,
+                             MCPStreamableHTTPTool, Middleware, Role, ToolMode,
+                             ToolProtocol)
 # from agent_framework.azure import AzureAIAgentClient
 from agent_framework_azure_ai import AzureAIAgentClient
 from azure.ai.agents.aio import AgentsClient
 from azure.identity.aio import DefaultAzureCredential
-from common.models.messages_af import CurrentTeamAgent, TeamConfiguration
 from common.database.database_base import DatabaseBase
+from common.models.messages_af import CurrentTeamAgent, TeamConfiguration
 from v4.common.services.team_service import TeamService
 from v4.config.agent_registry import agent_registry
 from v4.magentic_agents.models.agent_models import MCPConfig
@@ -196,10 +186,10 @@ async def get_database_team_agent(self) -> Optional[AzureAIAgentClient]:
                 agent = await self.client.get_agent(
                     agent_id=currentAgent.agent_foundry_id
                 )
-                if agent and agent.agent_id is not None:
+                if agent and agent.id is not None:
                     chat_client = AzureAIAgentClient(
                         project_endpoint=self.project_endpoint,
-                        agent_id=agent.agent_id,
+                        agent_id=agent.id,
                         model_deployment_name=self.model_deployment_name,
                         async_credential=self.creds,
                     )
@@ -213,15 +203,15 @@ async def get_database_team_agent(self) -> Optional[AzureAIAgentClient]:
     async def save_database_team_agent(self) -> None:
         """Save current team agent to database."""
         try:
-            if self._agent.chat_client.agent_id is None:
+            if self._agent.id is None:
                 self.logger.error("Cannot save database team agent: agent_id is None")
                 return
 
             currentAgent = CurrentTeamAgent(
                 team_id=self.team_config.team_id,
                 team_name=self.team_config.name,
                 agent_name=self.agent_name,
-                agent_foundry_id=self._agent.chat_client.agent_id,
+                agent_foundry_id=self._agent.id,
                 agent_description=self.agent_description,
                 agent_instructions=self.agent_instructions,
             )

src/backend/v4/magentic_agents/foundry_agent.py

@@ -3,12 +3,14 @@
 import logging
 from typing import List, Optional
 
-from agent_framework import ChatAgent, ChatMessage, HostedCodeInterpreterTool, Role
-from agent_framework_azure_ai import AzureAIAgentClient  # Provided by agent_framework
+from agent_framework import (ChatAgent, ChatMessage, HostedCodeInterpreterTool,
+                             Role)
+from agent_framework_azure_ai import \
+    AzureAIAgentClient  # Provided by agent_framework
 from azure.ai.projects.models import ConnectionType
 from common.config.app_config import config
-from common.models.messages_af import TeamConfiguration
 from common.database.database_base import DatabaseBase
+from common.models.messages_af import TeamConfiguration
 from v4.common.services.team_service import TeamService
 from v4.config.agent_registry import agent_registry
 from v4.magentic_agents.common.lifecycle import AzureAgentBase
@@ -29,6 +31,7 @@ def __init__(
         agent_name: str,
         agent_description: str,
         agent_instructions: str,
+        use_reasoning: bool,
         model_deployment_name: str,
         project_endpoint: str,
         enable_code_interpreter: bool = False,
@@ -57,6 +60,7 @@ def __init__(
 
         # Decide early whether Azure Search mode should be activated
         self._use_azure_search = self._is_azure_search_requested()
+        self.use_reasoning = use_reasoning
 
         # Placeholder for server-created Azure AI agent id (if Azure Search path)
         self._azure_server_agent_id: Optional[str] = None
@@ -218,6 +222,13 @@ async def _create_azure_search_enabled_client(self, chatClient=None) -> Optional
     # -------------------------
     async def _after_open(self) -> None:
         """Initialize ChatAgent after connections are established."""
+        if self.use_reasoning:
+            self.logger.info("Initializing agent in Reasoning mode.")
+            temp = None
+        else:
+            self.logger.info("Initializing agent in Foundry mode.")
+            temp = 0.1
+
 
         try:
             chatClient= await self.get_database_team_agent()
@@ -241,7 +252,7 @@ async def _after_open(self) -> None:
                     name=self.agent_name,
                     description=self.agent_description,
                     tool_choice="required",  # Force usage
-                    temperature=1.0,
+                    temperature=temp,
                     model_id=self.model_deployment_name,
                 )
             else:
@@ -256,7 +267,7 @@ async def _after_open(self) -> None:
                     description=self.agent_description,
                     tools=tools if tools else None,
                     tool_choice="auto" if tools else "none",
-                    temperature=1.0,
+                    temperature=temp,
                     model_id=self.model_deployment_name,
                 )
 

src/backend/v4/magentic_agents/magentic_agent_factory.py

@@ -7,12 +7,11 @@
 from typing import List, Optional, Union
 
 from common.config.app_config import config
-from common.models.messages_af import TeamConfiguration
 from common.database.database_base import DatabaseBase
+from common.models.messages_af import TeamConfiguration
 from v4.common.services.team_service import TeamService
 from v4.magentic_agents.foundry_agent import FoundryAgentTemplate
 from v4.magentic_agents.models.agent_models import MCPConfig, SearchConfig
-
 # from v4.magentic_agents.models.agent_models import (BingConfig, MCPConfig,
 #                                                     SearchConfig)
 from v4.magentic_agents.proxy_agent import ProxyAgent
@@ -128,6 +127,7 @@ async def create_agent_from_config(
             agent_name=agent_obj.name,
             agent_description=getattr(agent_obj, "description", ""),
             agent_instructions=getattr(agent_obj, "system_message", ""),
+            use_reasoning=use_reasoning,
             model_deployment_name=deployment_name,
             enable_code_interpreter=getattr(agent_obj, "coding_tools", False),
             project_endpoint=config.AZURE_AI_PROJECT_ENDPOINT,