2.3 KiB
2.3 KiB
MMA Tiered Architecture: Final Analysis Report
1. Executive Summary
The implementation and verification of the 4-Tier Hierarchical Multi-Model Architecture (MMA) within the Conductor framework have been successfully completed. The architecture provides a robust "Token Firewall" that prevents the primary context from being bloated by repetitive coding tasks and massive error traces.
2. Architectural Findings
Centralized Strategy vs. Role-Based Sub-Agents
- Decision: A Hybrid Approach was implemented.
- Rationale: The Tier 2 Orchestrator (Conductor) maintains the high-level strategy via a centralized skill, while Tier 3 (Worker) and Tier 4 (QA) agents are governed by surgical, role-specific system prompts. This ensures that sub-agents remain focused and stateless without the overhead of complex, nested tool-usage logic.
Delegation Efficacy
- Tier 3 (Worker): Successfully isolated code generation from the main conversation. The worker generates clean code/diffs that are then integrated by the Orchestrator.
- Tier 4 (QA): Demonstrated superior token efficiency by compressing multi-hundred-line stack traces into ~20-word actionable fixes.
- Traceability: The
-ShowContextflag inscripts/run_subagent.ps1provides immediate visibility into the "Connective Tissue" of the hierarchy, allowing human supervisors to monitor the hand-offs.
3. Recommended Protocol (Final)
- Identification: Tier 2 identifies a "Bloat Trigger" (Coding > 50 lines, Errors > 100 lines).
- Delegation: Tier 2 spawns a sub-agent via
.\scripts un_subagent.ps1 -Role [Worker|QA] -Prompt "...". - Integration: Tier 2 receives the stateless response and applies it to the project state.
- Checkpointing: Tier 2 performs Phase-level checkpoints to "Wipe" trial-and-error memory and solidify the new state.
4. Verification Results
- Automated Tests: 100% Pass (4/4 tests in
tests/conductor/test_infrastructure.py). - Isolation: Confirmed via
test_subagent_isolation_live. - Live Trace: Manually verified and approved by the user (Tier 2 -> 3 -> 4 flow).
5. Conclusion
The MMA framework is now ready for production use within the Conductor environment. It significantly enhances the scalability of AI-driven development by protecting the most valuable resource: the Orchestrator's context window.