src/control_backend/agents/bdi/bdi_core.py

@@ -31,9 +31,6 @@ class BDICoreAgent(BDIAgent):
         self.add_behaviour(BeliefSetterBehaviour())
         self.add_behaviour(ReceiveLLMResponseBehaviour())
 
-        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")
 
     def add_custom_actions(self, actions) -> None:
@@ -50,10 +47,10 @@ class BDICoreAgent(BDIAgent):
             message_text = agentspeak.grounded(term.args[0], intention.scope)
             self.logger.info("Reply action sending: %s", message_text)
 
-            self._send_to_llm(message_text)
+            self._send_to_llm(str(message_text))
             yield
 
-    async def _send_to_llm(self, text: str):
+    def _send_to_llm(self, text: str):
         """
         Sends a text query to the LLM Agent asynchronously.
         """
@@ -66,6 +63,6 @@ class BDICoreAgent(BDIAgent):
                 )
 
                 await self.send(msg)
-                self.agent.logger.debug("Message sent to LLM: %s", text)
+                self.agent.logger.info("Message sent to LLM: %s", text)
 
         self.add_behaviour(SendBehaviour())

src/control_backend/agents/bdi/behaviours/belief_setter.py

@@ -61,10 +61,6 @@ class BeliefSetterBehaviour(CyclicBehaviour):
             self.agent.bdi.set_belief(belief, *arguments)
 
             # Special case: if there's a new user message, flag that we haven't responded yet
-            if belief == "user_said":
+            if belief == "user_said": self.agent.bdi.set_belief("new_message")
-                try:
-                    self.agent.bdi.remove_belief("responded")
-                except BeliefNotInitiated:
-                    pass
 
             self.logger.info("Set belief %s with arguments %s", belief, arguments)

src/control_backend/agents/bdi/behaviours/text_belief_extractor.py

@@ -41,8 +41,7 @@ class BeliefFromText(CyclicBehaviour):
         if msg:
             sender = msg.sender.node
             match sender:
-                # TODO: Change to Transcriber agent name once implemented
+                case settings.agent_settings.transcription_agent_name:
-                case settings.agent_settings.test_agent_name:
                     self.logger.info("Received text from transcriber.")
                     await self._process_transcription_demo(msg.body)
                 case _:
@@ -84,10 +83,9 @@ class BeliefFromText(CyclicBehaviour):
         'user_said' is relevant, so this function simply makes a dict with key: "user_said",
         value: txt and passes this to the Belief Collector agent.
         """
-        belief = {"user_said": [txt]}
+        belief = {"beliefs": {"user_said": [txt]}, "type": "belief_extraction_text"}
         payload = json.dumps(belief)
-        # TODO: Change to belief collector
+        belief_msg = Message(to=settings.agent_settings.belief_collector_agent_name
-        belief_msg = Message(to=settings.agent_settings.bdi_core_agent_name
                              + '@' + settings.agent_settings.host,
                              body=payload)
         belief_msg.thread = "beliefs"

src/control_backend/agents/bdi/rules.asl

@@ -1,3 +1,3 @@
-+user_said(Message) : not responded <-
++new_message : user_said(Message) <-
-  +responded;
+  -new_message;
   .reply(Message).

src/control_backend/agents/belief_collector/behaviours/continuous_collect.py

@@ -104,14 +104,8 @@ class ContinuousBeliefCollector(CyclicBehaviour):
 
         to_jid = f"{settings.agent_settings.bdi_core_agent_name}@{settings.agent_settings.host}"
 
-        packet = {
+        msg = Message(to=to_jid, sender=self.agent.jid, thread="beliefs")
-            "type": "belief_packet",
+        msg.body = json.dumps(beliefs)
-            "origin": origin,
-            "beliefs": beliefs,
-        }
-
-        msg = Message(to=to_jid)
-        msg.body = json.dumps(packet)
 
 
         await self.send(msg)

src/control_backend/agents/transcription/speech_recognizer.py

@@ -86,6 +86,7 @@ class MLXWhisperSpeechRecognizer(SpeechRecognizer):
         return mlx_whisper.transcribe(audio,
                                       path_or_hf_repo=self.model_name,
                                       decode_options=self._get_decode_options(audio))["text"]
+        return mlx_whisper.transcribe(audio, path_or_hf_repo=self.model_name)["text"].strip()
 
 
 class OpenAIWhisperSpeechRecognizer(SpeechRecognizer):

src/control_backend/agents/transcription/transcription_agent.py

@@ -45,7 +45,10 @@ class TranscriptionAgent(Agent):
 
         async def _share_transcription(self, transcription: str):
             """Share a transcription to the other agents that depend on it."""
-            receiver_jids = []  # Set message receivers here
+            receiver_jids = [
+                settings.agent_settings.text_belief_extractor_agent_name
+                + '@' + settings.agent_settings.host,
+            ]  # Set message receivers here
 
             for receiver_jid in receiver_jids:
                 message = Message(to=receiver_jid, body=transcription)