fix: send norms back to UI

ref: N25B-400

src/control_backend/agents/bdi/agentspeak_generator.py

@@ -3,6 +3,7 @@ from functools import singledispatchmethod
 from slugify import slugify
 
 from control_backend.agents.bdi.agentspeak_ast import (
+    AstAtom,
     AstBinaryOp,
     AstExpression,
     AstLiteral,
@@ -215,7 +216,11 @@ class AgentSpeakGenerator:
 
         match norm:
             case ConditionalNorm(condition=cond):
-                rule = AstRule(self._astify(norm), self._astify(phase) & self._astify(cond))
+                rule = AstRule(
+                    self._astify(norm),
+                    self._astify(phase) & self._astify(cond)
+                    | AstAtom(f"force_{self.slugify(norm)}"),
+                )
             case BasicNorm():
                 rule = AstRule(self._astify(norm), self._astify(phase))
 

src/control_backend/agents/bdi/bdi_core_agent.py

@@ -341,7 +341,6 @@ class BDICoreAgent(BaseAgent):
 
             norm_update_message = InternalMessage(
                 to=settings.agent_settings.user_interrupt_name,
-                sender=self.name,
                 thread="active_norms_update",
                 body=str(norms),
             )
@@ -364,6 +363,14 @@ class BDICoreAgent(BaseAgent):
             norms = agentspeak.grounded(term.args[1], intention.scope)
             goal = agentspeak.grounded(term.args[2], intention.scope)
 
+            norm_update_message = InternalMessage(
+                to=settings.agent_settings.user_interrupt_name,
+                thread="active_norms_update",
+                body=str(norms),
+            )
+
+            self.add_behavior(self.send(norm_update_message))
+
             self.logger.debug(
                 '"reply_with_goal" action called with message=%s, norms=%s, goal=%s',
                 message_text,