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3 commits

Author SHA1 Message Date
Claude
7bb3488f0e
refactor: flatten commands, extract php/ci variants to own repos
- Remove internal/cmd/php/ (now core/php repo)
- Remove internal/cmd/ci/ and internal/cmd/sdk/ (now core/ci repo)
- Remove internal/variants/ build tag system entirely
- Move all 30 remaining command packages from internal/cmd/ to cmd/
- Rewrite main.go with direct imports (no more variant selection)
- Update all cross-references from internal/cmd/ to cmd/

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 14:41:05 +00:00
Claude
e025577092
refactor: split CLI from monorepo, import core/go as library
- 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>
2026-02-16 14:22:18 +00:00
Claude
548256312d feat: add ML inference, scoring, and training pipeline (pkg/ml)
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>
2026-02-16 05:53:52 +00:00