86f669dc82
Release 2.0.4-beta.1: Vision + Pipes + Memory
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- Vision Support (Issue #45 ): CLI + Server with OpenAI-compatible image API, EXIF metadata
- Unix Pipes (ADR-014): stdin support, isatty detection, SIGPIPE handling
- Memory-Aware Loading (ADR-016): Pre-load checks with >70% RAM warnings
- Python 3.9-3.14: Full compatibility verified (476-485 tests passing)
- Fixed: --log-json regression (Issue #44 ), Vision multimodal history filtering
See CHANGELOG.md for complete details.
2025-12-16 19:35:30 +01:00
05f1c30486
Release 2.0.3: Foundation for pipes
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Foundation release for Unix pipe integration with stderr separation,
benchmark infrastructure, and reasoning control improvements.
Breaking Changes:
- stdout/stderr separation (Issue #43 ) - errors to stderr in human mode
- JSON mode unchanged (all output to stdout)
Features:
- Benchmark reporting infrastructure (ADR-013 Phase 0)
- --no-reasoning flag (Issue #40 partial - GPT-OSS/QwQ only)
- Interactive mode reasoning control (review_report.md fixes)
Bug Fixes:
- huggingface-hub 1.x incompatibility (critical dependency fix)
- Streaming parity tests refactored (Portfolio Discovery)
Testing:
- 308 tests passing (Python 3.9-3.13)
- 35 skipped (opt-in live tests)
- 79/91 E2E tests passing with HF_HOME
See CHANGELOG.md for complete details and migration guide.
2025-11-17 22:54:06 +01:00
21cf188fcc
Release 2.0.1: Portfolio Discovery + CLI Exit Code Fixes
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Issue #32 : Stop token Portfolio Discovery validates generic fix across all models
- Auto-discovers MLX chat models in HF_HOME with 4-filter validation
- RAM-aware testing (40-70% budgets) prevents OOM
- Empirical report generation (stop_token_config_report.json)
- Fallback to 3 predefined models without HF_HOME
- Implementation: tests_2.0/test_stop_tokens_live.py (~110 LOC)
Issue #38 : CLI exit codes now propagate run command errors correctly
- Both text and JSON modes return exit code 1 on model execution failures
- Fixed: run_model() now returns error strings in both modes
- Implementation: mlxk2/operations/run.py + mlxk2/cli.py error detection
- New tests: tests_2.0/test_cli_run_exit_codes.py (9 comprehensive tests)
Testing: 306 passed, 20 skipped (zero regressions)
Docs: Updated README, TESTING, SECURITY for 2.0.1 stable release
Version: 2.0.0 → 2.0.1 (mlxk2/__init__.py)
2025-11-08 20:28:54 +01:00
fb54f59cd4
Release 2.0.0-beta.6: Stop token & compatibility bug fixes
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Fixes Issue #32 (generic multi-EOS detection) and Issue #37 (model detection)
- Generic stop token detection: Multi-EOS models (MXFP4, Qwen, Llama) now use eos_token_ids Set instead of
model-specific workarounds
- Private/org MLX model detection: `mlxk run` now works outside `mlx-community/*` namespace
- Commit-pinned compatibility checks: Models with `@commit_hash` validated before inference
- Packaging dependencies: Fixed `pip install -e .` requirements
- ADR-009: Stop Token Detection Fix (generic approach + test strategy)
- ADR-011: E2E Live Test Architecture (planned)
See CHANGELOG.md and TESTING.md for details.
2025-10-24 15:46:42 +02:00
57bf6d86be
2.0.0-beta.3: Feature Complete - Full 1.1.1 Parity Achieved
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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.
2025-09-14 18:04:18 +02:00
The BROKE Cluster Team