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2 commits

Author SHA1 Message Date
Claude
c5bc97de19 feat: port 11 LEM data management commands into core ml
Ports all remaining LEM pipeline commands from pkg/lem into core ml,
eliminating the standalone LEM CLI dependency. Each command is split
into reusable business logic (pkg/ml/) and a thin cobra wrapper
(internal/cmd/ml/).

New commands: query, inventory, metrics, ingest, normalize, seed-influx,
consolidate, import-all, approve, publish, coverage.

Adds Path(), Exec(), QueryRowScan() convenience methods to DB type.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 05:53:52 +00:00
Claude
5ff4b8a2eb 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