From bece44bf7ddd4471cdf7b9bd2c9d3cc4fa774ddf Mon Sep 17 00:00:00 2001
From: Storm <stormluykx@gmail.com>
Date: Fri, 24 Oct 2025 17:25:25 +0200
Subject: [PATCH 1/5] feat: implemented basic belief-from-text extractor

The communication with other agents has been tested with mock data as the other agents (transcriber and belief collector) are not yet implemented.

ref: N25B-208
---
 .../bdi/behaviours/text_belief_extractor.py   | 76 +++++++++++++++++++
 src/control_backend/agents/bdi/test_agent.py  | 26 +++++++
 .../agents/bdi/text_extractor.py              | 10 +++
 src/control_backend/main.py                   |  8 +-
 4 files changed, 119 insertions(+), 1 deletion(-)
 create mode 100644 src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
 create mode 100644 src/control_backend/agents/bdi/test_agent.py
 create mode 100644 src/control_backend/agents/bdi/text_extractor.py

diff --git a/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py b/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
new file mode 100644
index 0000000..c73a42e
--- /dev/null
+++ b/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
@@ -0,0 +1,76 @@
+import asyncio
+from spade.behaviour import CyclicBehaviour
+import logging
+from spade.message import Message
+import json
+from control_backend.core.config import settings
+
+
+class BeliefFromText(CyclicBehaviour):
+    logger = logging.getLogger("Belief From Text")
+
+    # TODO: LLM prompt nog hardcoded
+    llm_instruction_prompt = """
+    You are an information extraction assistent for a BDI agent. Your task is to extract values from 
+    a user's text to bind a list of ungrounded beliefs. Rules:
+    You will receive a JSON object with "beliefs" (a list of ungrounded AgentSpeak beliefs) and "text" (user's transcript).
+    Analyze the text to find values that sematically match the variables (X,Y,Z) in the beliefs.
+    A single piece of text might contain multiple instances that match a belief.
+    Respond ONLY with a single JSON object.
+    The JSON object's keys should be the belief functors (e.g., "weather").
+    The value for each key must be a list of lists.
+    Each inner list must contain the extracted arguments (as strings) for one instance of that belief.
+    CRITICAL: If no information in the text matches a belief, DO NOT include that key in your response.
+    """
+    
+    # on_start agent receives message containing the beliefs to look out for and sets up the LLM with instruction prompt
+    #async def on_start(self):
+    #    msg = await self.receive(timeout=0.1)
+    #    self.beliefs = dict uit message
+    #    send instruction prompt to LLM
+
+    beliefs: dict[str,list[str]]
+    beliefs = {
+        "mood": ["X"],
+        "car": ["Y"]
+    }
+
+    async def run(self):
+        msg = await self.receive(timeout=0.1)
+        if msg:
+            sender = msg.sender.node
+            match sender:
+                # TODO: Change to Transcriber agent name once implemented
+                case settings.agent_settings.test_agent_name:
+                    self.logger.info("Received text from transcriber.")
+                    await self._process_transcription(msg.body)
+                case _:
+                    self.logger.info("Received message from other agent.")
+                    pass
+        await asyncio.sleep(1)
+    
+    async def _process_transcription(self,text: str):
+        text_prompt = f"Text: {text}"
+        
+        beliefs_prompt = "These are the beliefs to be bound:\n"
+        for belief, values in self.beliefs.items():
+            beliefs_prompt += f"{belief}({', '.join(values)})\n"
+        
+        prompt = text_prompt + beliefs_prompt
+        self.logger.info(prompt)
+        #prompt_msg = Message(to="LLMAgent@whatever")
+        #response = self.send(prompt_msg)
+
+        # Mock response; response is beliefs in JSON format, it parses do dict[str,list[list[str]]]
+        response = '{"mood": [["happy"]]}'
+        # Verify by trying to parse
+        try:
+            json.loads(response)
+            belief_message = Message(to=settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, body=response)
+            belief_message.thread = "beliefs"
+
+            await self.send(belief_message)
+            self.logger.info("Sent beliefs to BDI.")
+        except:
+            #loading failed so the response is in wrong format, throw warning (let LLM respond to ask again?)
+            self.logger.warning("Received LLM response in incorrect format.")
\ No newline at end of file
diff --git a/src/control_backend/agents/bdi/test_agent.py b/src/control_backend/agents/bdi/test_agent.py
new file mode 100644
index 0000000..eea2065
--- /dev/null
+++ b/src/control_backend/agents/bdi/test_agent.py
@@ -0,0 +1,26 @@
+import spade
+from spade.agent import Agent
+from spade.behaviour import OneShotBehaviour
+from spade.message import Message
+from spade.template import Template
+from control_backend.core.config import AgentSettings, settings
+
+class SenderAgent(Agent):
+    class InformBehav(OneShotBehaviour):
+        async def run(self):
+            msg = Message(to=settings.agent_settings.text_belief_extractor_agent_name + '@' + settings.agent_settings.host)     # Instantiate the message
+            msg.body = "This is a test input to extract beliefs from.\n"                    # Set the message content
+
+            await self.send(msg)
+            print("Message sent!")
+
+            # set exit_code for the behaviour
+            self.exit_code = "Job Finished!"
+
+            # stop agent from behaviour
+            await self.agent.stop()
+
+    async def setup(self):
+        print("SenderAgent started")
+        self.b = self.InformBehav()
+        self.add_behaviour(self.b)
\ No newline at end of file
diff --git a/src/control_backend/agents/bdi/text_extractor.py b/src/control_backend/agents/bdi/text_extractor.py
new file mode 100644
index 0000000..2806a73
--- /dev/null
+++ b/src/control_backend/agents/bdi/text_extractor.py
@@ -0,0 +1,10 @@
+import spade
+from spade.agent import Agent
+import logging
+
+from control_backend.agents.bdi.behaviours.text_belief_extractor import BeliefFromText
+
+class TBeliefExtractor(Agent):
+    async def setup(self):
+        self.b = BeliefFromText()
+        self.add_behaviour(self.b)
\ No newline at end of file
diff --git a/src/control_backend/main.py b/src/control_backend/main.py
index 1f377c4..10b4081 100644
--- a/src/control_backend/main.py
+++ b/src/control_backend/main.py
@@ -13,6 +13,8 @@ import zmq
 
 # Internal imports
 from control_backend.agents.bdi.bdi_core import BDICoreAgent
+from control_backend.agents.bdi.text_extractor import TBeliefExtractor
+from control_backend.agents.bdi.test_agent import SenderAgent
 from control_backend.api.v1.router import api_router
 from control_backend.core.config import AgentSettings, settings
 from control_backend.core.zmq_context import context
@@ -32,8 +34,12 @@ async def lifespan(app: FastAPI):
     logger.info("Internal publishing socket bound to %s", internal_comm_socket)
 
     # Initiate agents
-    bdi_core = BDICoreAgent(settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, settings.agent_settings.bdi_core_agent_name, "src/control_backend/agents/bdi/rules.asl")
+    bdi_core = BDICoreAgent(settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, "pohpu7-huqsyH-qutduk", "src/control_backend/agents/bdi/rules.asl")
     await bdi_core.start()
+    text_belief_extractor = TBeliefExtractor(settings.agent_settings.text_belief_extractor_agent_name + '@' + settings.agent_settings.host, "pohpu7-huqsyH-qutduk")
+    await text_belief_extractor.start()
+    test_agent = SenderAgent(settings.agent_settings.test_agent_name + '@' + settings.agent_settings.host, "pohpu7-huqsyH-qutduk")
+    await test_agent.start()
     
     yield
     
-- 
2.49.1


From a43e5111dbf5a111a6adf639cdbb8b3e8f578267 Mon Sep 17 00:00:00 2001
From: Storm <stormluykx@gmail.com>
Date: Tue, 28 Oct 2025 13:28:42 +0100
Subject: [PATCH 2/5] fix: quick first fix in preparation of merge

ref: N25B-208
---
 .../bdi/behaviours/text_belief_extractor.py   | 19 +++++++++++++++++--
 src/control_backend/agents/bdi/test_agent.py  |  3 +--
 src/control_backend/main.py                   |  6 +++---
 3 files changed, 21 insertions(+), 7 deletions(-)

diff --git a/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py b/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
index c73a42e..89df3ca 100644
--- a/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
+++ b/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
@@ -43,7 +43,7 @@ class BeliefFromText(CyclicBehaviour):
                 # TODO: Change to Transcriber agent name once implemented
                 case settings.agent_settings.test_agent_name:
                     self.logger.info("Received text from transcriber.")
-                    await self._process_transcription(msg.body)
+                    await self._process_transcription_demo(msg.body)
                 case _:
                     self.logger.info("Received message from other agent.")
                     pass
@@ -73,4 +73,19 @@ class BeliefFromText(CyclicBehaviour):
             self.logger.info("Sent beliefs to BDI.")
         except:
             #loading failed so the response is in wrong format, throw warning (let LLM respond to ask again?)
-            self.logger.warning("Received LLM response in incorrect format.")
\ No newline at end of file
+            self.logger.warning("Received LLM response in incorrect format.")
+
+    async def _process_transcription_demo(self, txt: str):
+        """
+        Demo version to process the transcription input to beliefs. For the demo only the belief '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]]}
+        payload = json.dumps(belief)
+        # TODO: Change to belief collector
+        belief_msg = Message(to=settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, body=payload)
+        belief_msg.thread = "beliefs"
+        
+        await self.send(belief_msg)
+        self.logger.info("Sent beliefs to Belief Collector.")
+        
\ No newline at end of file
diff --git a/src/control_backend/agents/bdi/test_agent.py b/src/control_backend/agents/bdi/test_agent.py
index eea2065..2fd7485 100644
--- a/src/control_backend/agents/bdi/test_agent.py
+++ b/src/control_backend/agents/bdi/test_agent.py
@@ -2,8 +2,7 @@ import spade
 from spade.agent import Agent
 from spade.behaviour import OneShotBehaviour
 from spade.message import Message
-from spade.template import Template
-from control_backend.core.config import AgentSettings, settings
+from control_backend.core.config import settings
 
 class SenderAgent(Agent):
     class InformBehav(OneShotBehaviour):
diff --git a/src/control_backend/main.py b/src/control_backend/main.py
index 10b4081..513f747 100644
--- a/src/control_backend/main.py
+++ b/src/control_backend/main.py
@@ -34,11 +34,11 @@ async def lifespan(app: FastAPI):
     logger.info("Internal publishing socket bound to %s", internal_comm_socket)
 
     # Initiate agents
-    bdi_core = BDICoreAgent(settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, "pohpu7-huqsyH-qutduk", "src/control_backend/agents/bdi/rules.asl")
+    bdi_core = BDICoreAgent(settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, "placeholder", "src/control_backend/agents/bdi/rules.asl")
     await bdi_core.start()
-    text_belief_extractor = TBeliefExtractor(settings.agent_settings.text_belief_extractor_agent_name + '@' + settings.agent_settings.host, "pohpu7-huqsyH-qutduk")
+    text_belief_extractor = TBeliefExtractor(settings.agent_settings.belief_collector_agent_name + '@' + settings.agent_settings.host, "placehodler")
     await text_belief_extractor.start()
-    test_agent = SenderAgent(settings.agent_settings.test_agent_name + '@' + settings.agent_settings.host, "pohpu7-huqsyH-qutduk")
+    test_agent = SenderAgent(settings.agent_settings.test_agent_name + '@' + settings.agent_settings.host, "placeholder")
     await test_agent.start()
     
     yield
-- 
2.49.1


From 041edd4c1efa89b901c6150812d1f74320bc5993 Mon Sep 17 00:00:00 2001
From: Storm <stormluykx@gmail.com>
Date: Wed, 29 Oct 2025 14:53:14 +0100
Subject: [PATCH 3/5] feat: implement demo version for demo

ref: N25B-208
---
 .../bdi/behaviours/text_belief_extractor.py   |  2 +-
 src/control_backend/agents/bdi/test_agent.py  | 25 -------------------
 src/control_backend/main.py                   |  4 +--
 3 files changed, 2 insertions(+), 29 deletions(-)
 delete mode 100644 src/control_backend/agents/bdi/test_agent.py

diff --git a/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py b/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
index 89df3ca..7d4a074 100644
--- a/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
+++ b/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
@@ -80,7 +80,7 @@ class BeliefFromText(CyclicBehaviour):
         Demo version to process the transcription input to beliefs. For the demo only the belief '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 = {"user_said": [txt]}
         payload = json.dumps(belief)
         # TODO: Change to belief collector
         belief_msg = Message(to=settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, body=payload)
diff --git a/src/control_backend/agents/bdi/test_agent.py b/src/control_backend/agents/bdi/test_agent.py
deleted file mode 100644
index 2fd7485..0000000
--- a/src/control_backend/agents/bdi/test_agent.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import spade
-from spade.agent import Agent
-from spade.behaviour import OneShotBehaviour
-from spade.message import Message
-from control_backend.core.config import settings
-
-class SenderAgent(Agent):
-    class InformBehav(OneShotBehaviour):
-        async def run(self):
-            msg = Message(to=settings.agent_settings.text_belief_extractor_agent_name + '@' + settings.agent_settings.host)     # Instantiate the message
-            msg.body = "This is a test input to extract beliefs from.\n"                    # Set the message content
-
-            await self.send(msg)
-            print("Message sent!")
-
-            # set exit_code for the behaviour
-            self.exit_code = "Job Finished!"
-
-            # stop agent from behaviour
-            await self.agent.stop()
-
-    async def setup(self):
-        print("SenderAgent started")
-        self.b = self.InformBehav()
-        self.add_behaviour(self.b)
\ No newline at end of file
diff --git a/src/control_backend/main.py b/src/control_backend/main.py
index 513f747..4cff191 100644
--- a/src/control_backend/main.py
+++ b/src/control_backend/main.py
@@ -36,10 +36,8 @@ async def lifespan(app: FastAPI):
     # Initiate agents
     bdi_core = BDICoreAgent(settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, "placeholder", "src/control_backend/agents/bdi/rules.asl")
     await bdi_core.start()
-    text_belief_extractor = TBeliefExtractor(settings.agent_settings.belief_collector_agent_name + '@' + settings.agent_settings.host, "placehodler")
+    text_belief_extractor = TBeliefExtractor(settings.agent_settings.belief_collector_agent_name + '@' + settings.agent_settings.host, "placeholder")
     await text_belief_extractor.start()
-    test_agent = SenderAgent(settings.agent_settings.test_agent_name + '@' + settings.agent_settings.host, "placeholder")
-    await test_agent.start()
     
     yield
     
-- 
2.49.1


From 889ec1db5148a60f42fad6a78d870eff27c73221 Mon Sep 17 00:00:00 2001
From: Twirre Meulenbelt <43213592+TwirreM@users.noreply.github.com>
Date: Wed, 29 Oct 2025 15:28:15 +0100
Subject: [PATCH 4/5] chore: fix merge conflicts and small items

ref: N25B-208
---
 .../bdi/behaviours/text_belief_extractor.py   | 43 +++++++++++--------
 src/control_backend/agents/bdi/test_agent.py  |  3 +-
 .../agents/bdi/text_extractor.py              |  3 +-
 src/control_backend/core/config.py            |  5 ++-
 src/control_backend/main.py                   | 23 +++++++---
 5 files changed, 47 insertions(+), 30 deletions(-)

diff --git a/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py b/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
index 89df3ca..aeba697 100644
--- a/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
+++ b/src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
@@ -1,8 +1,10 @@
 import asyncio
-from spade.behaviour import CyclicBehaviour
-import logging
-from spade.message import Message
 import json
+import logging
+
+from spade.behaviour import CyclicBehaviour
+from spade.message import Message
+
 from control_backend.core.config import settings
 
 
@@ -11,8 +13,7 @@ class BeliefFromText(CyclicBehaviour):
 
     # TODO: LLM prompt nog hardcoded
     llm_instruction_prompt = """
-    You are an information extraction assistent for a BDI agent. Your task is to extract values from 
-    a user's text to bind a list of ungrounded beliefs. Rules:
+    You are an information extraction assistent for a BDI agent. Your task is to extract values from a user's text to bind a list of ungrounded beliefs. Rules:
     You will receive a JSON object with "beliefs" (a list of ungrounded AgentSpeak beliefs) and "text" (user's transcript).
     Analyze the text to find values that sematically match the variables (X,Y,Z) in the beliefs.
     A single piece of text might contain multiple instances that match a belief.
@@ -22,14 +23,14 @@ class BeliefFromText(CyclicBehaviour):
     Each inner list must contain the extracted arguments (as strings) for one instance of that belief.
     CRITICAL: If no information in the text matches a belief, DO NOT include that key in your response.
     """
-    
+
     # on_start agent receives message containing the beliefs to look out for and sets up the LLM with instruction prompt
     #async def on_start(self):
     #    msg = await self.receive(timeout=0.1)
     #    self.beliefs = dict uit message
     #    send instruction prompt to LLM
 
-    beliefs: dict[str,list[str]]
+    beliefs: dict[str, list[str]]
     beliefs = {
         "mood": ["X"],
         "car": ["Y"]
@@ -48,14 +49,14 @@ class BeliefFromText(CyclicBehaviour):
                     self.logger.info("Received message from other agent.")
                     pass
         await asyncio.sleep(1)
-    
-    async def _process_transcription(self,text: str):
+
+    async def _process_transcription(self, text: str):
         text_prompt = f"Text: {text}"
-        
+
         beliefs_prompt = "These are the beliefs to be bound:\n"
         for belief, values in self.beliefs.items():
             beliefs_prompt += f"{belief}({', '.join(values)})\n"
-        
+
         prompt = text_prompt + beliefs_prompt
         self.logger.info(prompt)
         #prompt_msg = Message(to="LLMAgent@whatever")
@@ -66,26 +67,30 @@ class BeliefFromText(CyclicBehaviour):
         # Verify by trying to parse
         try:
             json.loads(response)
-            belief_message = Message(to=settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, body=response)
+            belief_message = Message(
+                to=settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host,
+                body=response)
             belief_message.thread = "beliefs"
 
             await self.send(belief_message)
             self.logger.info("Sent beliefs to BDI.")
-        except:
-            #loading failed so the response is in wrong format, throw warning (let LLM respond to ask again?)
+        except json.JSONDecodeError:
+            # Parsing failed, so the response is in the wrong format, log warning
             self.logger.warning("Received LLM response in incorrect format.")
 
     async def _process_transcription_demo(self, txt: str):
         """
-        Demo version to process the transcription input to beliefs. For the demo only the belief '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.
+        Demo version to process the transcription input to beliefs. For the demo only the belief
+        '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]]}
         payload = json.dumps(belief)
         # TODO: Change to belief collector
-        belief_msg = Message(to=settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, body=payload)
+        belief_msg = Message(to=settings.agent_settings.bdi_core_agent_name
+                             + '@' + settings.agent_settings.host,
+                             body=payload)
         belief_msg.thread = "beliefs"
-        
+
         await self.send(belief_msg)
         self.logger.info("Sent beliefs to Belief Collector.")
-        
\ No newline at end of file
diff --git a/src/control_backend/agents/bdi/test_agent.py b/src/control_backend/agents/bdi/test_agent.py
index 2fd7485..ee467bb 100644
--- a/src/control_backend/agents/bdi/test_agent.py
+++ b/src/control_backend/agents/bdi/test_agent.py
@@ -1,9 +1,10 @@
-import spade
 from spade.agent import Agent
 from spade.behaviour import OneShotBehaviour
 from spade.message import Message
+
 from control_backend.core.config import settings
 
+
 class SenderAgent(Agent):
     class InformBehav(OneShotBehaviour):
         async def run(self):
diff --git a/src/control_backend/agents/bdi/text_extractor.py b/src/control_backend/agents/bdi/text_extractor.py
index 2806a73..596a3fe 100644
--- a/src/control_backend/agents/bdi/text_extractor.py
+++ b/src/control_backend/agents/bdi/text_extractor.py
@@ -1,9 +1,8 @@
-import spade
 from spade.agent import Agent
-import logging
 
 from control_backend.agents.bdi.behaviours.text_belief_extractor import BeliefFromText
 
+
 class TBeliefExtractor(Agent):
     async def setup(self):
         self.b = BeliefFromText()
diff --git a/src/control_backend/core/config.py b/src/control_backend/core/config.py
index 5d539d0..7cfd993 100644
--- a/src/control_backend/core/config.py
+++ b/src/control_backend/core/config.py
@@ -10,6 +10,7 @@ class AgentSettings(BaseModel):
     host: str = "localhost"    
     bdi_core_agent_name: str = "bdi_core"
     belief_collector_agent_name: str = "belief_collector"
+    text_belief_extractor_agent_name: str = "text_belief_extractor"
     vad_agent_name: str = "vad_agent"
     llm_agent_name: str = "llm_agent"
     test_agent_name: str = "test_agent"
@@ -19,8 +20,8 @@ class AgentSettings(BaseModel):
 
 
 class LLMSettings(BaseModel):
-    local_llm_url: str = "http://145.107.82.68:1234/v1/chat/completions"
-    local_llm_model: str = "openai/gpt-oss-120b"
+    local_llm_url: str = "http://localhost:1234/v1/chat/completions"
+    local_llm_model: str = "openai/gpt-oss-20b"
 
 class Settings(BaseSettings):
     app_title: str = "PepperPlus"
diff --git a/src/control_backend/main.py b/src/control_backend/main.py
index 998067b..56938a9 100644
--- a/src/control_backend/main.py
+++ b/src/control_backend/main.py
@@ -44,18 +44,29 @@ async def lifespan(app: FastAPI):
     )
     await ri_communication_agent.start()
 
-    llm_agent = LLMAgent(settings.agent_settings.llm_agent_name + '@' + settings.agent_settings.host,
-                         settings.agent_settings.llm_agent_name)
+    llm_agent = LLMAgent(
+        settings.agent_settings.llm_agent_name + '@' + settings.agent_settings.host,
+        settings.agent_settings.llm_agent_name,
+    )
     await llm_agent.start()
 
-    bdi_core = BDICoreAgent(settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host,
-                            settings.agent_settings.bdi_core_agent_name, "src/control_backend/agents/bdi/rules.asl")
+    bdi_core = BDICoreAgent(
+        settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host,
+        settings.agent_settings.bdi_core_agent_name,
+        "src/control_backend/agents/bdi/rules.asl",
+    )
     await bdi_core.start()
 
-    text_belief_extractor = TBeliefExtractor(settings.agent_settings.belief_collector_agent_name + '@' + settings.agent_settings.host, "placehodler")
+    text_belief_extractor = TBeliefExtractor(
+        settings.agent_settings.text_belief_extractor_agent_name + '@' + settings.agent_settings.host,
+        settings.agent_settings.text_belief_extractor_agent_name,
+    )
     await text_belief_extractor.start()
 
-    test_agent = SenderAgent(settings.agent_settings.test_agent_name + '@' + settings.agent_settings.host, "placeholder")
+    test_agent = SenderAgent(
+        settings.agent_settings.test_agent_name + '@' + settings.agent_settings.host,
+        settings.agent_settings.test_agent_name
+    )
     await test_agent.start()
 
     _temp_vad_agent = VADAgent("tcp://localhost:5558", False)
-- 
2.49.1


From 792d360fa4a8cb998aa3eb7da38063b100f5dfe1 Mon Sep 17 00:00:00 2001
From: Twirre Meulenbelt <43213592+TwirreM@users.noreply.github.com>
Date: Wed, 29 Oct 2025 15:30:53 +0100
Subject: [PATCH 5/5] chore: remove test agent again

ref: N25B-208
---
 src/control_backend/main.py | 7 -------
 1 file changed, 7 deletions(-)

diff --git a/src/control_backend/main.py b/src/control_backend/main.py
index 56938a9..ccbeca8 100644
--- a/src/control_backend/main.py
+++ b/src/control_backend/main.py
@@ -14,7 +14,6 @@ from control_backend.agents.bdi.bdi_core import BDICoreAgent
 from control_backend.agents.vad_agent import VADAgent
 from control_backend.agents.llm.llm import LLMAgent
 from control_backend.agents.bdi.text_extractor import TBeliefExtractor
-from control_backend.agents.bdi.test_agent import SenderAgent
 from control_backend.api.v1.router import api_router
 from control_backend.core.config import settings
 from control_backend.core.zmq_context import context
@@ -63,12 +62,6 @@ async def lifespan(app: FastAPI):
     )
     await text_belief_extractor.start()
 
-    test_agent = SenderAgent(
-        settings.agent_settings.test_agent_name + '@' + settings.agent_settings.host,
-        settings.agent_settings.test_agent_name
-    )
-    await test_agent.start()
-
     _temp_vad_agent = VADAgent("tcp://localhost:5558", False)
     await _temp_vad_agent.start()
 
-- 
2.49.1