feat: norms and goals to llm

base goals and norms can be defined in llm_instructions.py
cleaned the code

ref: N25B-215

src/control_backend/agents/bdi/bdi_core.py

@@ -30,7 +30,7 @@ class BDICoreAgent(BDIAgent):
         self.add_behaviour(BeliefSetter())
         self.add_behaviour(ReceiveLLMResponseBehaviour())
 
-        await self._send_to_llm("Hello we are the Pepper plus team")
+        await self._send_to_llm("Hi pepper, how are you?")
         # This is the example message currently sent to the llm at the start of the Program
 
         self.logger.info("BDICoreAgent setup complete")
@@ -52,7 +52,7 @@ class BDICoreAgent(BDIAgent):
             self._send_to_llm(message_text)
             yield
 
-    async def _send_to_llm(self, text: str) -> str:
+    async def _send_to_llm(self, text: str):
         """
         Sends a text query to the LLM Agent asynchronously.
         """
@@ -61,12 +61,10 @@ class BDICoreAgent(BDIAgent):
             async def run(self) -> None:
                 msg = Message(
                     to= settings.agent_settings.llm_agent_name + '@' + settings.agent_settings.host,
-                    body= text,
-                    thread= "llm_request",
+                    body= text
                 )
 
                 await self.send(msg)
                 self.agent.logger.debug("Message sent to LLM: %s", text)
 
-        self.add_behaviour(SendBehaviour())
-        return "LLM message dispatch scheduled"
+        self.add_behaviour(SendBehaviour())