From 281bc57b6ee4ce319eab02101bc558baa586b3d4 Mon Sep 17 00:00:00 2001
From: JobvAlewijk <extrajvanalewijk@gmail.com>
Date: Tue, 28 Oct 2025 12:03:30 +0100
Subject: [PATCH] chore: cleanup

made bdi match incoming messages
changed llm from test agent to llm agent in config.

ref: N25B-207
---
 README.md                                  |  4 ++--
 src/control_backend/agents/bdi/bdi_core.py | 17 ++++++++++-------
 2 files changed, 12 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index 6601529..6c28fcf 100644
--- a/README.md
+++ b/README.md
@@ -21,10 +21,10 @@ uv sync
 To run a LLM locally download https://lmstudio.ai
 When installing select developer mode, download a model (it will already suggest one) and run it (see developer window, status: running)
 
-copy the url at the top right and replace LOCAL_LLM_URL with it + v1/chat/completions.
+copy the url at the top right and replace local_llm_url with it + v1/chat/completions.
 This + part might differ based on what model you choose.
 
-copy the model name in the module loaded and replace LOCAL_LLM_MODEL.
+copy the model name in the module loaded and replace local_llm_modelL. In settings.
 
 
 ## Running
diff --git a/src/control_backend/agents/bdi/bdi_core.py b/src/control_backend/agents/bdi/bdi_core.py
index 209c83f..1026df5 100644
--- a/src/control_backend/agents/bdi/bdi_core.py
+++ b/src/control_backend/agents/bdi/bdi_core.py
@@ -59,7 +59,7 @@ class BDICoreAgent(BDIAgent):
         class SendBehaviour(OneShotBehaviour):
             async def run(self) -> None:
                 msg = Message(
-                    to= settings.agent_settings.test_agent_name + '@' + settings.agent_settings.host,
+                    to= settings.agent_settings.llm_agent_name + '@' + settings.agent_settings.host,
                     body= text,
                     thread= "llm_request",
                 )
@@ -81,13 +81,16 @@ class BDICoreAgent(BDIAgent):
                 if not msg:
                     return
 
-                content = msg.body
-                self.agent.logger.info("Received LLM response: %s", content)
+                sender = msg.sender.node 
+                match sender:
+                    case settings.agent_settings.llm_agent_name:
+                        content = msg.body
+                        self.agent.logger.info("Received LLM response: %s", content)
+                        #Here the BDI can pass the message back as a response
+                    case _:
+                        self.logger.debug("Not from the llm, discarding message")
+                        pass
 
-                # TODO: Convert response into a belief (optional future feature)
-                # Example:
-                # self.agent.add_belief("llm_response", content)
-                # self.agent.logger.debug("Added belief: llm_response(%s)", content)
 
         template = Template()
         template.thread = "llm_response"