Tian AI's Three-Layer Architecture: A Developer's Perspective Tian AI is organized into three logical layers, each with a distinct responsibility. Layer 1: Perception & Communication Talker Module Handles conversation management Multi-turn context tracking Emotion-aware responses LLM-driven follow-up questions File: talker/__init__.py Layer 2: Reasoning & Knowledge Thinker Module Three-layer reasoning (Fast/CoT/Deep) Query routing based on complexity Knowledge base integration Knowledge Module SQLite FTS5 knowledge retrieval Million-entry concept database 0.04-second average query time Files: cot_engine.py , knowledge/__init__.py Layer 3: Action & Evolution Agent Module LLM-driven task planning TaskQueue with dependency resolution Safety whitelist for autonomous execution Self-Evolution Module AST-based code analysis Automated patch generation XP + leveling system Files: agent/__init__.py , llm_agent.py , self_modify.py Cross-Cutting Concerns LLM Management llm_manager.py : Process lifecycle…