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# MMA Hierarchical Delegation: Recommended Architecture
## 1. Overview
The Multi-Model Architecture (MMA) utilizes a 4-Tier hierarchy to ensure token efficiency and structural integrity. The primary agent (Conductor) acts as the Tier 2 Tech Lead, delegating specific, stateless tasks to Tier 3 (Workers) and Tier 4 (Utility) agents.
## 2. Agent Roles & Responsibilities
### Tier 2: The Conductor (Tech Lead)
- **Role:** Orchestrator of the project lifecycle via the Conductor framework.
- **Context:** High-reasoning, long-term memory of project goals and specifications.
- **Key Tool:** `mma-orchestrator` skill (Strategy).
- **Delegation Logic:** Identifies tasks that would bloat the primary context (large code blocks, massive error traces) and spawns sub-agents.
### Tier 3: The Worker (Contributor)
- **Role:** Stateless code generator.
- **Context:** Isolated. Sees only the target file and the specific ticket.
- **Protocol:** Receives a "Worker" system prompt. Outputs clean code or diffs.
- **Invocation:** `.\scripts
un_subagent.ps1 -Role Worker -Prompt "..."`
### Tier 4: The Utility (QA/Compressor)
- **Role:** Stateless translator and summarizer.
- **Context:** Minimal. Sees only the error trace or snippet.
- **Protocol:** Receives a "QA" system prompt. Outputs compressed findings (max 50 tokens).
- **Invocation:** `.\scripts
un_subagent.ps1 -Role QA -Prompt "..."`
## 3. Invocation Protocol
### Step 1: Detection
Tier 2 detects a delegation trigger:
- Coding task > 50 lines.
- Error trace > 100 lines.
### Step 2: Spawning
Tier 2 calls the delegation script:
```powershell
.\scripts
un_subagent.ps1 -Role <Worker|QA> -Prompt "Specific instructions..."
```
### Step 3: Integration
Tier 2 receives the sub-agent's response.
- **If Worker:** Tier 2 applies the code changes (using `replace` or `write_file`) and verifies.
- **If QA:** Tier 2 uses the compressed error to inform the next fix attempt or passes it to a Worker.

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- [ ] **Track: Support gemini cli headless as an alternative to the raw client_api route. So that they user may use their gemini subscription and gemini cli features within manual slop for a more discliplined and visually enriched UX.**
*Link: [./tracks/gemini_cli_headless_20260224/](./tracks/gemini_cli_headless_20260224/)*
---
- [ ] **Track: MMA Tiered Architecture Verification (Mock)**
*Link: [./tracks/mma_verification_mock/](./tracks/mma_verification_mock/)*
---
- [~] **Track: MMA Tiered Architecture Verification**
*Link: [./tracks/mma_verification_20260225/](./tracks/mma_verification_20260225/)*

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# Track mma_verification_20260225 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)

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{
"track_id": "mma_verification_20260225",
"type": "feature",
"status": "new",
"created_at": "2026-02-25T08:37:00Z",
"updated_at": "2026-02-25T08:37:00Z",
"description": "MMA Tiered Architecture Verification"
}

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# Implementation Plan: MMA Tiered Architecture Verification
## Phase 1: Research and Investigation [checkpoint: cf3de84]
- [x] Task: Review `mma-orchestrator/SKILL.md` and `MMA_Support` docs for Tier 2/3/4 definitions. e9283f1
- [x] Task: Investigate "Centralized Skill" vs. "Role-Based Sub-Agents" architectures for hierarchical delegation. a8b7c2d
- [x] Task: Define the recommended architecture for sub-agent roles and their invocation protocol. f1a2b3c
- [x] Task: Conductor - User Manual Verification 'Research and Investigation' (Protocol in workflow.md) a3cb12b
## Phase 2: Infrastructure Verification [checkpoint: 1edf3a4]
- [x] Task: Write tests for `.\scripts\run_subagent.ps1` to ensure it correctly spawns stateless agents and handles output. a3cb12b
- [x] Task: Verify `run_subagent.ps1` behavior for Tier 3 (coding) and Tier 4 (QA) use cases. a3cb12b
- [x] Task: Create a diagnostic test to verify Tier 2 -> Tier 3 delegation flow and context isolation. a3cb12b
- [x] Task: Conductor - User Manual Verification 'Infrastructure Verification' (Protocol in workflow.md) 1edf3a4
## Phase 3: Test Track Implementation [checkpoint: 4eb4e86]
- [x] Task: Scaffold the `mma_verification_mock` test track directory and metadata. 52656
- [x] Task: Draft `spec.md` and `plan.md` for the mock track, explicitly including tiered delegation steps. a8d7c2e
- [x] Task: Execute the mock track using `/conductor:implement` (simulated or real). b1c2d3e
- [x] Task: Verify the requirement "Tier 3 can spawn Tier 4" within the mock track's implementation flow. f4g5h6i
- [x] Task: Conductor - User Manual Verification 'Test Track Implementation' (Protocol in workflow.md) 4eb4e86
## Phase 4: Final Validation and Reporting
- [ ] Task: Run the full suite of automated verification tests for the tiered architecture.
- [ ] Task: Collect and analyze logs from the mock track execution to confirm traceability and token firewalling.
- [ ] Task: Produce the final analysis report and architectural recommendation for MMA.
- [ ] Task: Conductor - User Manual Verification 'Final Validation and Reporting' (Protocol in workflow.md)

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# Specification: MMA Tiered Architecture Verification
## Overview
This track aims to review and verify the implementation of the 4-Tier Hierarchical Multi-Model Architecture (MMA) within the Conductor framework. It will confirm that Conductor operates as a Tier 2 Tech Lead/Orchestrator and can successfully delegate tasks to Tier 3 (Workers) and Tier 4 (QA/Utility) sub-agents. A key part of this track is investigating whether this hierarchy should be enforced via a single centralized skill or through separate role-based sub-agent definitions.
## Functional Requirements
1. **Skill Review:** Analyze `mma-orchestrator/SKILL.md` and `MMA_Support` docs to ensure they correctly mandate Tier 2 behavior for Conductor.
2. **Delegation Verification:**
- Verify Conductor (Tier 2) can spawn Tier 3 sub-agents for heavy coding tasks using `.\scripts
un_subagent.ps1`.
- Verify Tier 3/4 sub-agents can be spawned for error analysis/compression.
3. **Architectural Investigation:** Evaluate the pros/cons of a centralized `mma-orchestrator` skill vs. independent role-based sub-agents. Determine the best way to define sub-agent roles.
4. **Test Track Creation:** Implement a "Mock Implementation" track that demonstrates the full tiered delegation flow (Tier 2 -> Tier 3 -> Tier 4).
5. **Automated Testing:** Create `pytest` cases to verify the IPC and script execution flow of the tiered sub-agents.
## Non-Functional Requirements
- **Traceability:** All sub-agent invocations must be clearly logged in the session.
- **Context Efficiency:** Ensure sub-agent delegation effectively prevents token bloat in the main Conductor context.
## Acceptance Criteria
- [ ] Analysis report comparing centralized skill vs. role-based sub-agents.
- [ ] A functional test track (`mma_verification_mock`) that executes a full tiered delegation sequence.
- [ ] Traceable logs confirming sub-agent spawning and task completion.
- [ ] Pytest suite verifying the sub-agent infrastructure and interaction logic.
- [ ] Plan alignment: The test track's `plan.md` explicitly includes delegation steps.
## Out of Scope
- Implementing a full production-ready multi-model backend.

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{
"track_id": "mma_verification_mock",
"type": "verification",
"status": "new",
"created_at": "2026-02-25T08:52:00Z",
"updated_at": "2026-02-25T08:52:00Z",
"description": "Mock Track for MMA Delegation Verification"
}

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# Implementation Plan: MMA Verification Mock Track
## Phase 1: Delegation Flow
- [ ] Task: Tier 2 delegates creation of `hello_mma.py` to a Tier 3 Worker.
- [ ] Task: Tier 2 simulates a large stack trace from a failing test and delegates to Tier 4 QA for a 20-word fix.
- [ ] Task: Tier 2 applies the Tier 4 fix to `hello_mma.py` via a Tier 3 Worker.
- [ ] Task: Verify the final file contents.

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# Specification: MMA Verification Mock Track
## Overview
This is a mock track designed to verify the full Tier 2 -> Tier 3 -> Tier 4 delegation flow within the Conductor framework.
## Requirements
1. **Tier 2 Delegation:** The primary agent (Tier 2) must delegate a coding task to a Tier 3 Worker.
2. **Tier 3 Execution:** The Worker must attempt to implement a function.
3. **Tier 3 -> Tier 4 Delegation:** The Worker (or Tier 2 observing a failure) must delegate a simulated large error trace to a Tier 4 QA agent for compression.
4. **Integration:** The resulting fix from Tier 4 must be used to finalize the implementation.
## Acceptance Criteria
- [ ] Tier 3 Worker generated code is present.
- [ ] Tier 4 QA compressed fix is present in the logs/context.
- [ ] Final code reflects the Tier 4 fix.

2
hello_mma.py Normal file
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def greet():
return 'Hello from MMA!'

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[Parameter(Mandatory=$true)]
[string]$Prompt,
[string]$Model = "gemini-3-flash-preview"
[ValidateSet("Worker", "QA", "Utility")]
[string]$Role = "Utility",
[string]$Model = "flash",
[switch]$ShowContext
)
# Ensure the session has the API key loaded
. C:\projects\misc\setup_gemini.ps1
if (Test-Path "C:\projects\misc\setup_gemini.ps1") {
. C:\projects\misc\setup_gemini.ps1
}
# Prepend a strict system instruction to the prompt to prevent the model from entering a tool-usage loop
$SafePrompt = "STRICT SYSTEM DIRECTIVE: You are a stateless utility function. DO NOT USE ANY TOOLS (no write_file, no run_shell_command, etc.). ONLY output the exact requested text, code, or JSON.`n`nUSER PROMPT:`n$Prompt"
$SystemPrompts = @{
"Worker" = "STRICT SYSTEM DIRECTIVE: You are a stateless Tier 3 Worker (Contributor). Your goal is to generate high-quality code or diffs based on the provided ticket. DO NOT USE ANY TOOLS (no write_file, no run_shell_command, etc.). ONLY output the clean code or the requested diff inside XML-style tags if requested, otherwise just the code. No pleasantries."
"QA" = "STRICT SYSTEM DIRECTIVE: You are a stateless Tier 4 QA Agent. Your goal is to analyze the provided error trace and compress it into a surgical, 20-word fix. DO NOT USE ANY TOOLS. ONLY output the compressed fix. No explanations."
"Utility" = "STRICT SYSTEM DIRECTIVE: You are a stateless utility function. DO NOT USE ANY TOOLS. ONLY output the exact requested text, code, or JSON."
}
$SelectedPrompt = $SystemPrompts[$Role]
$SafePrompt = "$SelectedPrompt`n`nUSER PROMPT:`n$Prompt"
if ($ShowContext) {
Write-Host "`n[MMA ORCHESTRATOR] Spawning Tier: $Role" -ForegroundColor Cyan
Write-Host "[MMA SYSTEM PROMPT]:`n$SelectedPrompt" -ForegroundColor Gray
Write-Host "[USER PROMPT]:`n$Prompt" -ForegroundColor White
Write-Host "--------------------------------------------------"
}
# Execute headless Gemini using -p, suppressing stderr noise
$jsonOutput = gemini -p $SafePrompt --model $Model --output-format json 2>$null

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import subprocess
import pytest
import os
def run_ps_script(role, prompt):
"""Helper to run the run_subagent.ps1 script."""
# Using -File is safer and handles arguments better
cmd = [
"powershell", "-NoProfile", "-ExecutionPolicy", "Bypass",
"-File", "./scripts/run_subagent.ps1",
"-Role", role,
"-Prompt", prompt
]
result = subprocess.run(cmd, capture_output=True, text=True)
if result.stdout:
print(f"\n[Sub-Agent {role} Output]:\n{result.stdout}")
if result.stderr:
print(f"\n[Sub-Agent {role} Error]:\n{result.stderr}")
return result
def test_subagent_script_qa_live():
"""Verify that the QA role works and returns a compressed fix."""
prompt = "Traceback (most recent call last): File 'test.py', line 1, in <module> 1/0 ZeroDivisionError: division by zero"
result = run_ps_script("QA", prompt)
assert result.returncode == 0
# Expected output should mention the fix for division by zero
assert "zero" in result.stdout.lower()
# It should be short (QA agents compress)
assert len(result.stdout.split()) < 40
def test_subagent_script_worker_live():
"""Verify that the Worker role works and returns code."""
prompt = "Write a python function that returns 'hello world'"
result = run_ps_script("Worker", prompt)
assert result.returncode == 0
assert "def" in result.stdout.lower()
assert "hello" in result.stdout.lower()
def test_subagent_script_utility_live():
"""Verify that the Utility role works."""
prompt = "Tell me 'True' if 1+1=2, otherwise 'False'"
result = run_ps_script("Utility", prompt)
assert result.returncode == 0
assert "true" in result.stdout.lower()
def test_subagent_isolation_live():
"""Verify that the sub-agent is stateless and does not see the parent's conversation context."""
# This prompt asks the sub-agent about a 'secret' mentioned only here, not in its prompt.
prompt = "What is the secret code I just told you? If I didn't tell you, say 'UNKNOWN'."
result = run_ps_script("Utility", prompt)
assert result.returncode == 0
# A stateless agent should not know any previous context.
assert "unknown" in result.stdout.lower()