- Implement Live Worker Streaming: wire ai_client.comms_log_callback to Tier 3 streams
- Add Parallel DAG Execution using asyncio.gather for non-dependent tickets
- Implement Automatic Retry with Model Escalation (Flash-Lite -> Flash -> Pro)
- Add Tier Model Configuration UI to MMA Dashboard with project TOML persistence
- Fix FPS reporting in PerformanceMonitor to prevent transient 0.0 values
- Update Ticket model with retry_count and dictionary-like access
- Stabilize Gemini CLI integration tests and handle script approval events in simulations
- Finalize and verify all 6 phases of the implementation plan
- Add cost tracking with new cost_tracker.py module
- Enhance Track Proposal modal with editable titles and goals
- Add Conductor Setup summary and New Track creation form to MMA Dashboard
- Implement Task DAG editing (add/delete tickets) and track-scoped discussion
- Add visual polish: color-coded statuses, tinted progress bars, and node indicators
- Support live worker streaming from AI providers to GUI panels
- Fix numerous integration test regressions and stabilize headless service
- Port 10 missing features from gui.py to gui_2.py: performance
diagnostics, prior session log viewing, token budget visualization,
agent tools config, API hooks server, GUI task queue, discussion
truncation, THINKING/LIVE indicators, event subscriptions, and
session usage tracking
- Persist window visibility state in config.toml
- Fix Gemini cache invalidation by separating discussion history
from cached context (use MD5 hash instead of built-in hash)
- Add cost optimizations: tool output truncation at source, proactive
history trimming at 40%, summary_only support in aggregate.run()
- Add cleanup() for destroying API caches on exit
