Major Features Added:
• Complete run command implementation with interactive/single-shot modes
• MLXRunner core engine ported from 1.x with modular architecture
• OpenAI-compatible server with SIGINT-robust supervisor mode
• Experimental push feature properly isolated behind environment variable
Key Improvements:
- Full feature parity with 1.1.1 stable releases
- Enhanced human output formatting across all commands
- Clean separation of stable (184 tests) vs experimental features
- Updated demo GIF showcasing improved 2.0 interface
Fixes:
- Pull operation cache pollution (Issue #30) with preflight access checks
- Test stability improvements across all environments
Architecture:
- Modular runner design with focused helper modules
- Thread-safe model loading and memory management
- stable testing across Python 3.9-3.13
Ready for use as comprehensive 1.x alternative.
Major Achievements:
- Live reproduction and documentation of Issue #27 (health check false positive)
- Comprehensive development README.md for alpha phase parallel usage
- JSON API specification integration and references
- 45/45 tests passing with production-quality reliability
Issue #27 Critical Discovery:
- Health check false positives for multi-part model downloads
- Root cause: Multi-part pattern detection flaw in shared logic
- GitHub issue created with reproduction steps and technical analysis
2.0.0-Alpha Development Status:
- Revolutionary test isolation architecture complete
- Atomic cache system with triple safety verification
- Development handbook with parallel deployment guide
- Ready for production testing and broke-cluster integration
The BROKE Cluster Team