Wire ThalamicLoop, PinealGland, ValenceEngine into conversation layer

src/conversation/interface.py

@@ -23,6 +23,9 @@ class VitalisConversation:
         self.kernel      = VitalisKernel()
         self.resonance   = ResonanceEngine()
         self.understanding = UnderstandingEngine()
+        self.valence     = __import__('src.valence.valence_engine', fromlist=['ValenceEngine']).ValenceEngine()
+        self.thalamus    = __import__('src.thalamus.thalamic_loop', fromlist=['ThalamicLoop']).ThalamicLoop(self.valence)
+        self.pineal      = __import__('src.pineal.pineal_gland', fromlist=['PinealGland']).PinealGland()
         self.session_start = time.time()
         self.exchange_count = 0
         print("[VITALIS] Online.\n")
@@ -171,10 +174,24 @@ class VitalisConversation:
         if not text.strip():
             return "I'm listening."
 
+        # Full thalamic pipeline
+        thalamic = self.thalamus.process_text(text, force=True)
+        self.pineal.tick(cycle_success=thalamic['passes'], confidence=thalamic['salience'])
+
         u        = self.understanding.understand(text)
         decision = self.mind.process(text)
+
+        # Reinforce valence based on outcome
+        if thalamic['error_vec'] is not None:
+            self.valence.reinforce(thalamic['hv'], reward=1.0 if decision['confidence'] > 0.5 else -0.3)
+
         self.mind.outcome(text, True)
         response = self._generate_response(text, u, decision)
+
+        # Add thalamic awareness to response if novel
+        if thalamic['is_novel'] and thalamic['surprise'] > 0.8:
+            response += f" [Novel input — surprise={thalamic['surprise']:.2f}]"
+
         self.exchange_count += 1
         return response