feat: Sprint 80 Agent Learning Integration Foundation

services/agent/learning/integration.py

@@ -0,0 +1,32 @@
+from dataclasses import dataclass
+from datetime import datetime, UTC
+
+
+@dataclass
+class AgentLearningState:
+    agent_id: str
+    memory_score: float
+    collaboration_score: float
+    reward_score: float
+    evolution_score: float
+    updated_at: datetime = datetime.now(UTC)
+
+
+class AgentLearningIntegrator:
+
+    def integrate(
+        self,
+        agent_id: str,
+        memory_score: float,
+        collaboration_score: float,
+        reward_score: float,
+        evolution_score: float,
+    ) -> AgentLearningState:
+
+        return AgentLearningState(
+            agent_id=agent_id,
+            memory_score=memory_score,
+            collaboration_score=collaboration_score,
+            reward_score=reward_score,
+            evolution_score=evolution_score,
+        )

tests/agent/test_learning_integration.py

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+from services.agent.learning.integration import AgentLearningIntegrator
+
+
+def test_agent_learning_integration():
+
+    integrator = AgentLearningIntegrator()
+
+    state = integrator.integrate(
+        agent_id="AEON-001",
+        memory_score=0.9,
+        collaboration_score=0.85,
+        reward_score=0.95,
+        evolution_score=0.88,
+    )
+
+    assert state.agent_id == "AEON-001"
+    assert state.reward_score == 0.95