Create ARCHITECTURE.md

ARCHITECTURE.md

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+# AISA Architecture
+
+This document outlines the layered architectural model introduced in
+**AISA — Agentic AI Systems Architecture**.
+
+AISA models agentic AI systems as composed systems in which behavior
+emerges from the interaction between reasoning, execution,
+infrastructure, evaluation, and governance.
+
+---
+
+## Layered Model
+
+AISA defines seven architectural layers, each responsible for
+a distinct system concern.
+
+---
+
+### 1. LLM Foundation Layer
+Provides language understanding and reasoning capabilities.
+This layer focuses on interpreting inputs and generating outputs,
+independent of execution or control logic.
+
+---
+
+### 2. Tool & Environment Layer
+Defines how the agent interacts with external systems.
+It mediates actions through controlled interfaces, separating
+reasoning from execution.
+
+---
+
+### 3. Cognitive Agent Layer
+Handles goal-directed behavior, including planning,
+decision-making, and memory access.
+This layer represents the core agent logic.
+
+---
+
+### 4. Agentic Infrastructure Layer
+Supports execution, orchestration, and coordination.
+It manages workflow state, failures, and scalability.
+
+---
+
+### 5. Evaluation & Feedback Layer
+Monitors and evaluates agent behavior over time.
+It enables comparison, analysis, and continuous assessment.
+
+---
+
+### 6. Development & Deployment Layer
+Governs system evolution through versioning,
+experimentation, and deployment control.
+
+---
+
+### 7. Governance, Ethics & Policy Layer
+Defines system-wide constraints, oversight,
+and accountability mechanisms.
+
+---
+
+## Architectural Principles
+
+- **Separation of Concerns** across system layers  
+- **Explicit Boundaries** between responsibilities  
+- **System-Level Evaluation** of agent behavior  
+- **Governance by Design**  
+- **Implementation Independence**
+