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manual_slop/MMA_Support/Final_Analysis_Report.md

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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 -ShowContext flag in scripts/run_subagent.ps1 provides immediate visibility into the "Connective Tissue" of the hierarchy, allowing human supervisors to monitor the hand-offs.
  1. Identification: Tier 2 identifies a "Bloat Trigger" (Coding > 50 lines, Errors > 100 lines).
  2. Delegation: Tier 2 spawns a sub-agent via .\scripts un_subagent.ps1 -Role [Worker|QA] -Prompt "...".
  3. Integration: Tier 2 receives the stateless response and applies it to the project state.
  4. 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.