WIP almost done with track planning
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conductor/tracks/native_orchestrator_20260306/index.md
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conductor/tracks/native_orchestrator_20260306/index.md
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# Native Orchestrator
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**Track ID:** native_orchestrator_20260306
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**Status:** Planned
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**See Also:**
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- [Spec](./spec.md)
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- [Plan](./plan.md)
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{
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"id": "native_orchestrator_20260306",
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"name": "Native Orchestrator",
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"status": "planned",
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"created_at": "2026-03-06T00:00:00Z",
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"updated_at": "2026-03-06T00:00:00Z",
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"type": "feature",
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"priority": "medium"
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}
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# Implementation Plan: Transitioning to Native Orchestrator (native_orchestrator)
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# Implementation Plan: Native Orchestrator (native_orchestrator_20260306)
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## Phase 1: Research & Design
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- [ ] Task: Analyze existing backend implementation
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- [ ] Task: Design GUI/UX approach
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- [ ] Task: Conductor - User Manual Verification
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## Phase 1: Plan File Operations
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- [ ] Task: Initialize MMA Environment
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- [ ] Task: Implement plan.md read/write
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- WHERE: src/orchestrator_pm.py or new module
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- WHAT: Parse and write plan.md
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- HOW: toml/tomllib for parsing
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- SAFETY: Preserve formatting
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## Phase 2: Implementation
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- [ ] Task: Implement feature
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- [ ] Task: Write tests
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- [ ] Task: Conductor - User Manual Verification
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## Phase 2: Metadata Management
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- [ ] Task: Implement metadata.json operations
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- WHERE: src/orchestrator_pm.py
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- WHAT: Read/write track metadata
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- HOW: json load/dump
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- SAFETY: Atomic writes
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## Phase 3: Verification
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- [ ] Task: Run test suite
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- [ ] Task: Verify coverage
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- [ ] Task: Conductor - Phase Completion Verification
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## Phase 3: Tier Delegation
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- [ ] Task: Implement in-process delegation
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- WHERE: src/multi_agent_conductor.py
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- WHAT: Replace subprocess calls with direct function calls
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- HOW: Import and call tier functions directly
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- SAFETY: Proper error propagation
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## Phase 4: Verification
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- [ ] Task: Test plan operations
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- [ ] Task: Conductor - Phase Verification
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# Track Specification: Native Orchestrator
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# Track Specification: Native Orchestrator (native_orchestrator_20260306)
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## Overview
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Absorb mma_exec.py into core app for pure Python MMA orchestration.
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Absorb mma_exec.py into core application. Manual Slop natively reads/writes plan.md, manages metadata.json, and orchestrates MMA tiers in pure Python without external CLI.
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## Current State Audit
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### Already Implemented
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- mma_exec.py for tier delegation
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- ConductorEngine in multi_agent_conductor.py
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### Gaps to Fill
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- External CLI dependency
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- No native plan.md management
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## Goals
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- Read/write plan.md natively
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- Manage metadata.json in Python
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- Remove mma_exec.py dependency
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## Architectural Constraints
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- **Backward Compatibility**: Existing track files MUST remain compatible.
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- **No Breaking Changes**: API and CLI interfaces MUST remain functional.
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## Functional Requirements
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- Plan file CRUD operations
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- Metadata management
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- Tier delegation in-process
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- **Plan CRUD**: Native read/write of plan.md files.
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- **Metadata Management**: Native management of metadata.json.
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- **Tier Delegation**: In-process Tier 1-4 delegation without subprocess.
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- **CLI Fallback**: Optional mma_exec.py wrapper for backward compatibility.
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## Non-Functional Requirements
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- Backward compatible with existing tracks
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- No breaking changes to API
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## Acceptance Criteria
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- [ ] plan.md read/write works natively.
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- [ ] metadata.json managed in Python.
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- [ ] Tier delegation executes in-process.
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- [ ] No external CLI required for orchestration.
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- [ ] Existing tracks remain loadable.
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