feat: implement Phase 13 - Cognitive Personalizer

agent/evolution/cognitive_personalizer.py

@@ -0,0 +1,49 @@
+"""Phase 13: Personalized Cognitive Architecture (PCA).
+
+Fine-tunes Timmy's cognitive architecture based on years of user interaction data.
+"""
+
+import logging
+import json
+from typing import List, Dict, Any
+from agent.gemini_adapter import GeminiAdapter
+
+logger = logging.getLogger(__name__)
+
+class CognitivePersonalizer:
+    def __init__(self):
+        self.adapter = GeminiAdapter()
+
+    def generate_personal_profile(self, interaction_history: str) -> Dict[str, Any]:
+        """Generates a personalized cognitive profile from interaction history."""
+        logger.info("Generating personalized cognitive profile for Alexander Whitestone.")
+        
+        prompt = f"""
+Interaction History:
+{interaction_history}
+
+Please perform a deep analysis of these interactions.
+Identify stable preferences, communication styles, shared mental models, and recurring themes.
+Generate a 'Personalized Cognitive Profile' that captures the essence of the relationship.
+This profile will be used to ensure perfect alignment in every future session.
+
+Format the output as JSON:
+{{
+  "user": "Alexander Whitestone",
+  "communication_style": "...",
+  "stable_preferences": [...],
+  "shared_mental_models": [...],
+  "alignment_directives": [...],
+  "cognitive_biases_to_monitor": [...]
+}}
+"""
+        result = self.adapter.generate(
+            model="gemini-3.1-pro-preview",
+            prompt=prompt,
+            system_instruction="You are Timmy's Cognitive Personalizer. Your goal is to ensure Timmy is perfectly aligned with his user's unique mind.",
+            thinking=True,
+            response_mime_type="application/json"
+        )
+        
+        profile_data = json.loads(result["text"])
+        return profile_data