LLMRig v0.8.0

LLMRig v0.8.0 — Runtime Intelligence

LLMRig v0.8.0 expands the Autopilot foundation into an evidence-driven runtime intelligence layer for local AI.

Highlights

• Added llmrig runtimes and llmrig runtimes --json for read-only inspection of oMLX, Ollama, MLX-LM, and llama.cpp.
• Unified runtime readiness, capability, execution, and verification routing behind the runtime-adapter registry.
• Added first-class oMLX discovery and authenticated local execution through its OpenAI-compatible API.
• Added provenance-safe oMLX local inventory matching with exact Hugging Face repository identity.
• Extended solve --verify to measure already-local oMLX configurations using the existing race-v2 methodology.
• Hardened Hugging Face artifact classification for MLX, GGUF, and generic Safetensors.
• Preserved quantization and context evidence from exact repository metadata without downloading model weights.
• Added fail-closed handling for ambiguous provenance, quantization, context metadata, and incomplete shard sets.
• Refreshed the README, runtime architecture, terminal hero, release metadata, and packaging validation.

Evidence first

v0.8 continues to enforce LLMRig's core evidence rules:

unknown != false
compatible != local
local != executable
executable != measurable
measurable != measured
measured performance != model quality

Default discovery and solve workflows remain read-only. LLMRig does not automatically install runtimes, start services, download model weights, or scan arbitrary filesystem locations.

Compatibility

• Python 3.9+
• macOS
• Linux
• Windows
• No third-party Python runtime dependencies

This release was validated across macOS, Linux, and Windows on Python 3.9 and Python 3.14, including wheel/sdist installation tests and CodeQL.