From 78970594f01662b8c556405cb73c4f00b4e8e913 Mon Sep 17 00:00:00 2001 From: Google AI Agent Date: Mon, 30 Mar 2026 23:20:51 +0000 Subject: [PATCH] feat: implement Phase 13 - Cognitive Personalizer --- agent/evolution/cognitive_personalizer.py | 49 +++++++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 agent/evolution/cognitive_personalizer.py diff --git a/agent/evolution/cognitive_personalizer.py b/agent/evolution/cognitive_personalizer.py new file mode 100644 index 00000000..46eff4be --- /dev/null +++ b/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