src/control_backend/agents/bdi/bdi_core.py

@@ -59,10 +59,9 @@ class BDICoreAgent(BDIAgent):
         class SendBehaviour(OneShotBehaviour):
             async def run(self) -> None:
                 msg = Message(
-                    to=f"{settings.agent_settings.test_agent_name}@"
+                    to= settings.agent_settings.test_agent_name + '@' + settings.agent_settings.host,
-                       f"{settings.agent_settings.host}",
+                    body= text,
-                    body=text,
+                    thread= "llm_request",
-                    thread="llm_request",
                 )
                 msg.set_metadata("performative", "inform")
                 await self.send(msg)

src/control_backend/agents/llm/llm.py

@@ -32,9 +32,6 @@ class LLMAgent(Agent):
         the BDI Core Agent and handle them.
         """
 
-        LOCAL_LLM_URL: str = "http://127.0.0.1:1234/v1/chat/completions"
-        LOCAL_LLM_MODEL: str = "openai/gpt-oss-20b"
-
         async def run(self) -> None:
             """
             Receives SPADE messages and processes only those originating from the
@@ -70,10 +67,9 @@ class LLMAgent(Agent):
             Sends a response message back to the BDI Core Agent.
             """
             reply = Message(
-                to=f"{settings.agent_settings.bdi_core_agent_name}@"
+                to= settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host,
-                   f"{settings.agent_settings.host}",
+                body= msg,
-                body=msg,
+                thread= "llm_response",
-                thread="llm_response",
             )
             await self.send(reply)
             self.agent.logger.info("Reply sent to BDI Core Agent")
@@ -87,10 +83,10 @@ class LLMAgent(Agent):
             """
             async with httpx.AsyncClient(timeout=120.0) as client:
                 response = await client.post(
-                    self.LOCAL_LLM_URL,
+                    settings.llm_settings.local_llm_url,
                     headers={"Content-Type": "application/json"},
                     json={
-                        "model": self.LOCAL_LLM_MODEL,
+                        "model": settings.llm_settings.local_llm_model,
                         "messages": [{"role": "user", "content": prompt}],
                         "temperature": 0.3,
                     },
@@ -116,10 +112,7 @@ class LLMAgent(Agent):
         self.logger.info("LLMAgent setup complete")
 
         template = Template()
-        template.sender = (
+        template.sender = settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host
-            f"{settings.agent_settings.bdi_core_agent_name}@"
-            f"{settings.agent_settings.host}"
-        )
 
         behaviour = self.ReceiveMessageBehaviour()
         self.add_behaviour(behaviour, template)

src/control_backend/core/config.py

@@ -12,6 +12,10 @@ class AgentSettings(BaseModel):
     llm_agent_name: str = "llm_agent"
     test_agent_name: str = "test_agent"
 
+class LLMSettings(BaseModel):
+    local_llm_url: str = "http://127.0.0.1:1234/v1/chat/completions"
+    local_llm_model: str = "openai/gpt-oss-20b"
+
 class Settings(BaseSettings):
     app_title: str = "PepperPlus"
 
@@ -21,6 +25,10 @@ class Settings(BaseSettings):
 
     agent_settings: AgentSettings = AgentSettings()
 
+    llm_settings: LLMSettings = LLMSettings()
+    
     model_config = SettingsConfigDict(env_file=".env")
     
+
+
 settings = Settings()