## Summary
- Extract PHP/Laravel commands to `core/php` repo (42 files, standalone module)
- Extract CI/release + SDK commands to `core/ci` repo (10 files)
- Remove `internal/variants/` build tag system entirely
- Move all 30 remaining command packages from `internal/cmd/` to top-level `cmd/`
- Rewrite `main.go` with direct imports — no more variant selection
- PHP and CI are now optional via commented import lines in main.go
Co-authored-by: Claude <developers@lethean.io>
Reviewed-on: #2
Co-authored-by: Charon <charon@lthn.ai>
Co-committed-by: Charon <charon@lthn.ai>
- Change module from forge.lthn.ai/core/go to forge.lthn.ai/core/cli
- Remove pkg/ directory (now served from core/go)
- Add require + replace for forge.lthn.ai/core/go => ../go
- Update go.work to include ../go workspace module
- Fix all internal/cmd/* imports: pkg/ refs → forge.lthn.ai/core/go/pkg/
- Rename internal/cmd/sdk package to sdkcmd (avoids conflict with pkg/sdk)
- Remove SDK library files from internal/cmd/sdk/ (now in core/go/pkg/sdk/)
- Remove duplicate RAG helper functions from internal/cmd/rag/
- Remove stale cmd/core-ide/ (now in core/ide repo)
- Update IDE variant to remove core-ide import
- Fix test assertion for new module name
- Run go mod tidy to sync dependencies
core/cli is now a pure CLI application importing core/go for packages.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Claude <developers@lethean.io>
Reviewed-on: #1
Port LEM scoring/training pipeline into CoreGo as pkg/ml with:
- Inference abstraction with HTTP, llama-server, and Ollama backends
- 3-tier scoring engine (heuristic, exact, LLM judge)
- Capability and content probes for model evaluation
- GGUF/safetensors format converters, MLX to PEFT adapter conversion
- DuckDB integration for training data pipeline
- InfluxDB metrics for lab dashboard
- Training data export (JSONL + Parquet)
- Expansion generation pipeline with distributed workers
- 10 CLI commands under 'core ml' (score, probe, export, expand, status, gguf, convert, agent, worker)
- 5 MCP tools (ml_generate, ml_score, ml_probe, ml_status, ml_backends)
All 37 ML tests passing. Binary builds at 138MB with all commands.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
