core/go-ai
8
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions
11 commits 1 branch 5 tags 975 KiB
Commit graph

6 commits

Author SHA1 Message Date
Snider
34d0f9ce41 refactor: extract mlx/ to standalone core/go-mlx module 
Remove mlx/ directory (now lives at forge.lthn.ai/core/go-mlx).
Update ml/backend_mlx.go imports to reference the new module.
Add replace directive for local development.

Co-Authored-By: Virgil <virgil@lethean.io>
 2026-02-19 18:24:32 +00:00
Snider
906a535899 chore: update module paths and add gitignore 
Sync module imports across agentic, mcp, ml, and rag packages.
Add .gitignore for mlx build artifacts.

Co-Authored-By: Virgil <virgil@lethean.io>
 2026-02-17 19:19:38 +00:00
Snider
98749c66f2 fix(mlx): add DecodeToken for correct streaming word boundaries 
The Decode method strips the SentencePiece leading space from every
token, which loses word boundaries during streaming. DecodeToken
preserves the space (it represents the word boundary) and only the
first token of each generation has its leading space stripped.

Fixes Gemma3 space prefix appearing in chat UI output.

Co-Authored-By: Virgil <virgil@lethean.io>
 2026-02-17 19:18:27 +00:00
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
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