chp-adapter-mlx 0.26.0

CHP capability adapter — Apple Silicon native text generation via a local mlx_lm server

chp-adapter-mlx

Apple Silicon native text generation as governed CHP capabilities, backed by a local mlx_lm server. MLX is the fastest local inference path on Apple Silicon (≈2–3× Ollama, ≈1.5× llama.cpp).

mlx_lm.server is OpenAI-compatible, so this adapter mirrors chp-adapter-vllm / chp-adapter-local-llm and the gateway routes it as another inference owner for capacity-aware (GPU-utilization) routing.

Capabilities

Capability	Risk	Description
chp.adapters.mlx.status	low	Is mlx/mlx-lm installed (+ versions) and is the server reachable?
chp.adapters.mlx.list_models	low	Models served by mlx_lm.server (/v1/models)
chp.adapters.mlx.generate	medium	Single-turn completion (/v1/completions)
chp.adapters.mlx.chat	medium	Multi-turn chat (/v1/chat/completions)

Composition & evidence

The adapter imports no HTTP library — every server call routes through chp.adapters.http, so HTTP is its own governed evidence chain and the adapter is conformance-clean. Prompt/completion/message content is never recorded in evidence; only model id, token counts, latency, and errors are.

Running the backend (inference node)

pip install mlx-lm
# OpenAI-compatible server on :8081 (8080 collides with llama.cpp)
mlx_lm.server --model mlx-community/Qwen3-... --port 8081

Config via env: MLX_BASE_URL (default http://localhost:8081), MLX_MODEL, MLX_API_KEY. Add "mlx" to the host profile's adapters list to register it. Verify over the mesh with chp.adapters.mlx.status.