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Author	SHA1	Message	Date
Snider	92c6282d50	refactor(mlx): drop mlx build tag, auto-enable on darwin/arm64 ... Remove the manual -tags mlx requirement. MLX is now automatically compiled on darwin/arm64 via build constraints. Stubs remain for other platforms. No functional change. Co-Authored-By: Virgil <virgil@lethean.io>	2026-02-17 16:57:41 +00:00
Snider	d0cbd5065e	Merge pull request 'test: validate MLX inference and scoring pipeline on M3 Ultra' (#4) from test/mlx-validation-m3-ultra into main ... Reviewed-on: #4	2026-02-16 17:47:16 +00:00
Athena	3916633f4d	test: validate MLX inference and scoring pipeline on M3 Ultra ... Fixes #2 - Run complete test suite: all 84 tests passing (100%) - Verify Metal 4 GPU support and hardware capabilities - Test scoring pipeline (heuristic + judge + engine) - Confirm GGUF model directory with 9 models (40.43 GB) - Document MLX backend build requirements - Update module imports from forge.lthn.ai/core/go to forge.lthn.ai/core/cli - Add comprehensive TEST-RESULTS.md with findings Platform: M3 Ultra (60 GPU cores, 96GB RAM, Metal 4) Results: All tests passing, scoring pipeline operational, MLX ready to build Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>	2026-02-16 17:24:36 +00:00
Claude	e84d6ad3c9	feat: extract AI/ML packages from core/go ... LEM scoring pipeline, native MLX Metal bindings, Claude SDK wrapper, RAG with Qdrant/Ollama, unified AI facade, and MCP protocol server. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-16 15:25:55 +00:00