feat: integrate AgentSpeak with semantic belief extraction

ref: N25B-429

test/unit/agents/bdi/test_bdi_core_agent.py

@@ -20,7 +20,7 @@ def mock_agentspeak_env():
 
 @pytest.fixture
 def agent():
-    agent = BDICoreAgent("bdi_agent", "dummy.asl")
+    agent = BDICoreAgent("bdi_agent")
     agent.send = AsyncMock()
     agent.bdi_agent = MagicMock()
     return agent
@@ -133,14 +133,14 @@ async def test_custom_actions(agent):
 
     # Invoke action
     mock_term = MagicMock()
-    mock_term.args = ["Hello", "Norm", "Goal"]
+    mock_term.args = ["Hello", "Norm"]
     mock_intention = MagicMock()
 
     # Run generator
     gen = action_fn(agent, mock_term, mock_intention)
     next(gen)  # Execute
 
-    agent._send_to_llm.assert_called_with("Hello", "Norm", "Goal")
+    agent._send_to_llm.assert_called_with("Hello", "Norm", "")
 
 
 def test_add_belief_sets_event(agent):

test/unit/agents/bdi/test_bdi_program_manager.py

@@ -32,6 +32,8 @@ def make_valid_program_json(norm="N1", goal="G1") -> str:
                     Goal(
                         id=uuid.uuid4(),
                         name=goal,
+                        description="This description can be used to determine whether the goal "
+                        "has been achieved.",
                         plan=Plan(
                             id=uuid.uuid4(),
                             name="Goal Plan",
@@ -75,6 +77,7 @@ async def test_receive_programs_valid_and_invalid():
     ]
 
     manager = BDIProgramManager(name="program_manager_test")
+    manager._internal_pub_socket = AsyncMock()
     manager.sub_socket = sub
     manager._create_agentspeak_and_send_to_bdi = AsyncMock()
 

test/unit/agents/bdi/test_text_belief_extractor.py

@@ -8,9 +8,11 @@ import pytest
 from control_backend.agents.bdi import TextBeliefExtractorAgent
 from control_backend.core.agent_system import InternalMessage
 from control_backend.core.config import settings
+from control_backend.schemas.belief_list import BeliefList
 from control_backend.schemas.belief_message import BeliefMessage
 from control_backend.schemas.program import (
     ConditionalNorm,
+    KeywordBelief,
     LLMAction,
     Phase,
     Plan,
@@ -186,13 +188,31 @@ async def test_retry_query_llm_fail_immediately(agent):
 
 
 @pytest.mark.asyncio
-async def test_extracting_beliefs_from_program(agent, sample_program):
+async def test_extracting_semantic_beliefs(agent):
+    """
+    The Program Manager sends beliefs to this agent. Test whether the agent handles them correctly.
+    """
     assert len(agent.available_beliefs) == 0
+    beliefs = BeliefList(
+        beliefs=[
+            KeywordBelief(
+                id=uuid.uuid4(),
+                name="keyword_hello",
+                keyword="hello",
+            ),
+            SemanticBelief(
+                id=uuid.uuid4(), name="semantic_hello_1", description="Some semantic belief 1"
+            ),
+            SemanticBelief(
+                id=uuid.uuid4(), name="semantic_hello_2", description="Some semantic belief 2"
+            ),
+        ]
+    )
     await agent.handle_message(
         InternalMessage(
             to=settings.agent_settings.text_belief_extractor_name,
             sender=settings.agent_settings.bdi_program_manager_name,
-            body=sample_program.model_dump_json(),
+            body=beliefs.model_dump_json(),
         ),
     )
     assert len(agent.available_beliefs) == 2

test/unit/api/v1/endpoints/test_program_endpoint.py

@@ -43,6 +43,8 @@ def make_valid_program_dict():
                     Goal(
                         id=uuid.uuid4(),
                         name="Some goal",
+                        description="This description can be used to determine whether the goal "
+                        "has been achieved.",
                         plan=Plan(
                             id=uuid.uuid4(),
                             name="Goal Plan",

test/unit/schemas/test_ui_program_message.py

@@ -31,6 +31,7 @@ def base_goal() -> Goal:
     return Goal(
         id=uuid.uuid4(),
         name="testGoalName",
+        description="This description can be used to determine whether the goal has been achieved.",
         plan=Plan(
             id=uuid.uuid4(),
             name="testGoalPlanName",