# Phase 7 Progress Tracker

**Goal:** Extract all remaining code from kollabor/ to packages, leaving only orchestration

## Phase 7A: Extract LLM Business Logic ✅ COMPLETE

**Status:** COMPLETE (2026-02-15)
**Commit:** 61ff210
**Execution:** 4 parallel agents, 6 minutes

### Extracted to kollabor-ai (5,141 lines)
- [x] conversation_manager.py (1016 lines)
- [x] profile_manager.py (1149 lines)
- [x] conversation_logger.py (972 lines)
- [x] prompt_renderer.py (470 lines)
- [x] response_processor.py (382 lines)
- [x] context_service.py (346 lines)
- [x] system_prompt_builder.py (272 lines)
- [x] model_router.py (239 lines)
- [x] session_naming.py (177 lines)

### Results
- kollabor-ai: 1,352 → 6,493 lines (+380%)
- kollabor/llm: 15,000 → ~10,000 lines (-33%)
- 39 files changed
- All tests passing
- App boots successfully

## Phase 7B: Extract Agent/MCP Logic ✅ COMPLETE

**Status:** COMPLETE (2026-02-15)
**Commit:** 2327851
**Execution:** 3 parallel agents, 3.5 minutes

### Extracted to kollabor-agent (~1,800 lines)
- [x] agent_manager.py (1367 lines) → kollabor_agent.agent_manager
- [x] native_tools_handler.py (200 lines) → kollabor_agent.native_tools_handler
- [x] shell_alias_detector.py (230 lines) → kollabor_agent.shell_utils
- [x] MCP logic from commands/mcp_command.py → kollabor_agent.mcp_manager (383 lines)

### Refactored
- commands/mcp_command.py: 947 → 824 lines (thin command handler)
- All MCP business logic moved to MCPManager (reusable)

### Results
- kollabor-agent: 3,000 → 6,453 lines (+115%)
- kollabor/llm: further reduction
- MCP management now reusable (no UI dependencies)
- 11 files changed
- All tests passing
- App boots successfully

## Phase 7C: Extract All I/O to kollabor-tui ⏳ PENDING

**Status:** Not started
**Estimated:** 13,000+ lines (BIGGEST PHASE)
**Target Package:** kollabor-tui

### To Extract
- [ ] io/terminal_renderer.py → kollabor_tui.terminal_renderer
- [ ] io/input_handler.py → kollabor_tui.input_handler
- [ ] io/message_renderer.py → kollabor_tui.message_renderer
- [ ] io/message_coordinator.py → kollabor_tui.message_coordinator
- [ ] io/layout.py → kollabor_tui.layout
- [ ] io/buffer_manager.py → kollabor_tui.buffer_manager
- [ ] io/event_driven_render_loop.py → kollabor_tui.render_loop
- [ ] io/input/* → kollabor_tui.input.*
- [ ] io/status/* → kollabor_tui.status.*
- [ ] commands/menu_renderer.py → kollabor_tui.command_menu
- [ ] ui/modal_renderer.py → kollabor_tui.modal_renderer
- [ ] ui/modal_state_manager.py → kollabor_tui.modal_state_manager
- [ ] ui/config_merger.py → kollabor_tui.config_merger
- [ ] ui/config_widgets.py → kollabor_tui.config_widgets
- [ ] effects/* → kollabor_tui.effects.*

### Expected Results
- kollabor-tui: 5,000 → ~18,000 lines (+260%)
- kollabor/io: eliminated or minimal
- kollabor/ui: eliminated or minimal

## Phase 7D: Extract Data Models ⏳ PENDING

**Status:** Not started
**Estimated:** 200+ lines
**Target Package:** kollabor-events

### To Extract
- [ ] models/resume.py → kollabor_events.data_models
- [ ] utils/dict_utils.py → kollabor_events.utils
- [ ] utils/error_utils.py → kollabor_events.utils

### Expected Results
- kollabor-events: ~1,000 → ~1,200 lines
- kollabor/models: eliminated
- kollabor/utils: reduced

## Overall Progress

### Current State (After Phase 7A + 7B)
```
kollabor/         28,000 lines (was 33,000, target: 10,000)
packages/
  ├── kollabor-events/    1,000 lines
  ├── kollabor-agent/     6,453 lines ✅ (+3,453 from 7B)
  ├── kollabor-ai/        6,493 lines ✅ (+5,141 from 7A)
  └── kollabor-tui/       5,000 lines
```

### Target State (After All Phases)
```
kollabor/         10,000 lines (orchestration only)
packages/
  ├── kollabor-events/    3,000 lines (+2,000)
  ├── kollabor-agent/     8,000 lines (+5,000)
  ├── kollabor-ai/       12,000 lines (+5,507 more)
  └── kollabor-tui/      25,000 lines (+20,000)
```

### Lines Moved Per Phase
- Phase 7A: 5,141 lines ✅
- Phase 7B: ~1,800 lines ✅
- Phase 7C: ~13,000 lines (pending)
- Phase 7D: ~200 lines (pending)
- **Total: ~20,000 lines** (6,941 complete, 34% done)

### Timeline
- Phase 7A: 6 minutes (4 parallel agents) ✅
- Phase 7B: 3.5 minutes (3 parallel agents) ✅
- Phase 7C: ~15-20 minutes estimated (biggest)
- Phase 7D: ~3-5 minutes estimated
- **Total: ~30-45 minutes with parallel agents** (9.5 minutes complete)

## Next Actions

1. **Start Phase 7B** - Extract agent/mcp logic (smaller, good warmup)
2. **Start Phase 7C** - Extract all I/O (biggest impact, most complex)
3. **Start Phase 7D** - Extract data models (quick win)
4. **Break** - Review progress, plan next phases

## Lessons Learned from Phase 7A

✅ **What worked:**
- Parallel agent execution (4 agents, 6 minutes)
- Git detected file moves correctly (rename tracking)
- Backward compat re-exports prevented breakage
- Import verification caught issues early

⚠️ **Watch out for:**
- ConversationManager needs config._conversations_dir set
- Tests need updates to use kollabor_ai imports
- Some files have circular dependencies (resolved with re-exports)

📝 **Process improvements:**
- Each agent handled 1-3 related files
- Verification step after each agent
- Commit immediately after all agents complete
- Update memory immediately while fresh

## Commands Reference

```bash
# Launch agents
tglm Phase7B-Agent1 "extract agent_manager..."

# Check status
tlist
tcapture Phase7B-Agent1 30

# Stop agents
tstop Phase7B-Agent1

# Verify
python -c "from kollabor_ai import ..."
python main.py --help
python -m pytest tests/unit/ -x
```
