# 🏛️ Technical Guide: Autonomous Architect Review v1.4.1 Stable
## The "Ecosystem Expansion" Standard

The `make arch-review` engine has evolved into an **Autonomous Architect SME**. In v1.4, this persona oversees the **PR Scorecard CI/CD Action** and the **MCP Tool Store**, ensuring that every tool integration is secure, compliant, and documented.

---

## 🛠️ Operational Commands

| Command | Lifecycle Phase | Impact | Technical Driver |
| :--- | :--- | :--- | :--- |
| `make arch-review` | **Evaluation** | Runs autonomous scan and generates ADR. | `arch_review.py` SME Orchestration |
| `ops mcp` | **Governance** | v1.4: Registry for governed MCP tool integrations. | `mcp_store.py` (Tool Governance) |
| `ops workbench` | **Evolution** | v1.4: TUI-based review of synthesized patches. | `workbench.py` (Patch Workbench) |
| `make apply-fixes` | **Execution** | Trigger AST-based code synthesis. | `remediator.py` (The "Closer" Engine) |

---

## 🧠 What v1.0.0 "Autonomous Architect" Now Covers

The v1.0.0 surge introduces **Strategic Evolution** and **Synthetic Stress Testing**:

### 1. 🚀 Context-Aware Synthesis (The Closer Engine)
*   **The "Closer" Logic**: Operates on a **Synthesize-Validate-Verify** loop. The `CodeRemediator` transforms the Python AST to inject resiliency decorators (`@retry`), missing timeouts, and schema Literals.
*   **AST Hygiene**: Unlike raw string concatenation, AST-based patching ensures that indentation, imports, and syntax remain 100% valid post-injection.
*   **Result**: Production-ready fixes that require zero human refactoring.

### 🧪 2. Digital Twin Stress Testing
*   **Reasoning Degradation**: Monitors the **Contextual Thread Integrity**. If the agent loses the ability to reference message `n-5` under pressure, the Architect flags a "Reasoning Failure."
*   **Synthetic Traffic**: Parallelized `swarm.py` execution simulates 100 adversarial users, identifying edge cases where tool-calling loops become non-deterministic.

### 🌍 3. Multi-Cloud Exit & TCO (The Sovereign Score)
The v1.3 Architect calculates a **Sovereignty Score (0.0 - 1.0)** based on:
1.  **Vendor Lock-in TCO**: Quantifies the cost and effort of moving from Vertex AI to open-source (Gemma/vLLM).
2.  **Data Resident Proximity**: Measures the latency overhead between the Model and the Vector DB.
3.  **Exit Plan**: Automatically generates the "Exit Strategy" report for the CFO.

### 🌊 4. Impact Waterfall (v1.3 Visual)
The architect maps the **Cascading Failures** of an agentic workflow:
*   **Reasoning Waterfall**: Visualizes how a 200ms delay in a sub-tool "Hops" can lead to a 5s delay in the final response.
*   **Risk Waterfall**: Projects how a single PII leak in a tool output can compromise the entire conversation audit log.

### 🔍 5. Multi-Target Recursive Discovery (v1.3.1)
The Architect now supports distributed project structures:
- **Global `targets` Support**: Define multiple entry points via `cockpit.yaml` to audit entire agent fleets in parallel.
- **Template Isolation**: Intelligently ignores Jinja/Cookiecutter placeholders to focus on the active execution path.

---

## 🏛️ v1.0.0 Strategic Action Plan

The v1.0.0 ADR transforms gaps into **Strategic ROI**:

1.  **Autonomous Fix**: Context-aware fix synthesized for detected resiliency issues in `agent.py`.
2.  **Simulation Result**: 12% probability of "Reasoning Failure" detected under 5s latency spike.
3.  **TCO Report**: -12% OpEx projected by pivoting to Gemma 2. Exit effort: 14 lines.

---
*Generated by the AgentOps Cockpit v1.4.1 Stable. Autonomous Architect Division.*
