- Fix remaining 187 pkg/ files referencing core/cli → core/go
- Move SDK library code from internal/cmd/sdk/ → pkg/sdk/ (new package)
- Create pkg/rag/helpers.go with convenience functions from internal/cmd/rag/
- Fix pkg/mcp/tools_rag.go to use pkg/rag instead of internal/cmd/rag
- Fix pkg/build/buildcmd/cmd_sdk.go and pkg/release/sdk.go to use pkg/sdk
- Remove all non-library content: main.go, internal/, cmd/, docker/,
scripts/, tasks/, tools/, .core/, .forgejo/, .woodpecker/, Taskfile.yml
- Run go mod tidy to trim unused dependencies
core/go is now a pure Go package suite (library only).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Claude <developers@lethean.io>
Reviewed-on: #3
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>
Tracks model size at load time and checks Metal active memory after
each generation. If usage exceeds 3× model size, forces double GC
and cache clear as a safety net.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Go GC cannot see Metal/C memory pressure, so intermediate arrays from
each forward pass accumulated without bound, causing OOM kills after
3-4 requests. Fix: runtime.SetFinalizer on every Array releases C
handles when GC collects them, and runtime.GC() is forced every 4
tokens during generation. Also adds SetMemoryLimit(24GB) as a hard
Metal ceiling.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add ClearCache() wrapping mlx_clear_cache
- Clear Metal allocator cache every 8 tokens during generation
- Set 16GB cache limit on backend init
- Prevents GPU memory from growing unbounded during inference
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
CGo wrapper for mlx-c providing zero-Python Metal GPU inference.
Includes Gemma 3 model architecture, BPE tokenizer, KV cache,
composable sampling, and OpenAI-compatible serve command.
Build-tagged (darwin && arm64 && mlx) with stubs for cross-platform.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
