Refactor agent factory import and RAI check logic

Moved MagenticAgentFactory import to module level in orchestration_manager.py to avoid circular imports. Cleaned up unused agent instance cache and improved RAI verdict handling in utils_af.py by checking for 'TRUE' substring and simplifying response logic.

Author: Fr4nc3

src/backend/af/orchestration/orchestration_manager.py

@@ -24,7 +24,9 @@
 from af.config.settings import connection_config, orchestration_config
 from af.models.messages import WebsocketMessageType
 from af.orchestration.human_approval_manager import HumanApprovalMagenticManager
-
+from af.magentic_agents.magentic_agent_factory import (
+                MagenticAgentFactory,
+            ) 
 
 class OrchestrationManager:
     """Manager for handling orchestration logic using agent_framework Magentic workflow."""
@@ -195,11 +197,6 @@ async def get_current_or_new_orchestration(
                             except Exception as e:  # noqa: BLE001
                                 cls.logger.error("Error closing agent: %s", e)
 
-            # Build new participants via existing factory)
-            from af.magentic_agents.magentic_agent_factory import (
-                MagenticAgentFactory,
-            )  # local import to avoid circular
-
             factory = MagenticAgentFactory()
             agents = await factory.get_agents(
                 user_id=user_id, team_config_input=team_config

src/backend/common/utils/utils_af.py

@@ -9,11 +9,6 @@
 
 logging.basicConfig(level=logging.INFO)
 
-# Cache for agent instances by session (if you later need multi-session reuse)
-agent_instances: Dict[str, Dict[str, Any]] = {}
-# Removed azure_agent_instances (agent framework  AzureAIAgent cache) since SK is deprecated.
-
-
 async def create_RAI_agent() -> FoundryAgentTemplate:
     """Create and initialize a FoundryAgentTemplate for Responsible AI (RAI) checks."""
     agent_name = "RAIAgent"
@@ -66,12 +61,12 @@ async def _get_agent_response(agent: FoundryAgentTemplate, query: str) -> str:
     """
     parts: list[str] = []
     try:
-        async for update in agent.invoke(query):
+        async for message in agent.invoke(query):
             # Prefer direct text
-            if hasattr(update, "text") and update.text:
-                parts.append(str(update.text))
+            if hasattr(message, "text") and message.text:
+                parts.append(str(message.text))
             # Fallback to contents (tool calls, chunks)
-            contents = getattr(update, "contents", None)
+            contents = getattr(message, "contents", None)
             if contents:
                 for item in contents:
                     txt = getattr(item, "text", None)
@@ -98,15 +93,13 @@ async def rai_success(description: str) -> bool:
         response_text = await _get_agent_response(agent, description)
         verdict = response_text.strip().upper()
 
-        if verdict == "TRUE":
+        if "TRUE" in verdict: # any true in the response 
             logging.warning("RAI check failed (blocked). Sample: %s...", description[:60])
             return False
-        if verdict == "FALSE":
+        else:
             logging.info("RAI check passed.")
             return True
 
-        logging.warning("Unexpected RAI response '%s' — defaulting to block.", verdict)
-        return False
     except Exception as e:  # noqa: BLE001
         logging.error("RAI check error: %s — blocking by default.", e)
         return False