docs/SYSTEM_AUDIT.md

TGI / TLM System Audit (March 2026)

1. Documentation Gaps (Genuine Gaps)

• API Completeness: 556 classes/methods lack docstrings in docs/API.md. High-impact modules like algebraic.py and aimo_3_gateway.py are largely undocumented.
• Dependency Map: No requirements.txt or pyproject.toml exists, making environment setup brittle (identified during the audit).
• Architecture Visualization: No diagram or formal specification for the Five-Core interaction, though tgi_system_demo.py provides a functional example.

2. Structural Weaknesses

• Unit Testing: Major research/ modules (tlm.py, knowledge_mapper.py, agentic_bridge.py) lack unit tests. The system relies heavily on high-level demos and integration tests.
• Error Handling: ActionMapper and AgenticBridge use deterministic mappings without robust fallbacks or error-correction for "out-of-manifold" inputs.
• Agentic Autonomy: While the "Action Engine" can generate plans, the actual execution (looping back result to TGI, handling retries) is not implemented.
• Mobile Packaging: The android/ directory contains skeletons, but no automated build or CI/CD for the APK exists yet.

3. High-Impact Improvements

• TLM-Based Intent Lifting: Replace MD5 hashing in ActionMapper.resolve_intent with a grounded TLM lifting to ensure semantic alignment.
• Hardware-Responsive Manifolds: Implement the dynamic $m$ resizing based on HardwareMapper telemetry as proposed in Phase 7.
• Closed-Loop Autonomy: Implement the "Agentic Action Engine" executor that can actually call MCP tools and return results to the TGI core.
• Symbolic Solver Expansion: Integrate the AIMOReasoningEngine more deeply into the TGIAgent.query path for complex multi-step math problems.

4. Prioritized Next Phase (Phase 8: Closed-Loop Sovereign Autonomy)

1. Infrastructure: Create requirements.txt and a basic unit test suite for core research/ modules.
2. Refinement: Implement full TLM-based intent lifting in ActionMapper.
3. Execution: Build the ActionExecutor to bridge the gap between "Plan Generation" and "Autonomous Task Completion".
4. Resilience: Add Law-based guardrails to the AgenticBridge to prevent "Topological Drift" during multi-step plans.

---

Audit performed by Jules — March 2026