local-ai-runtime-review

name	local-ai-runtime-review
description	Review LewLM local AI runtime, routing, serving, MLX, llama.cpp, OpenAI-compatible adapter, benchmark, and fallback changes. Use for local-first runtime correctness and capability reporting.
argument-hint	Describe the runtime or routing change

Local AI Runtime Review

Use this skill for changes that affect model discovery, routing, serving profiles, runtime adapters, benchmarks, or capability/fallback reporting.

Procedure

1. Identify which runtime path is affected: MLX text, MLX vision, MLX audio, llama.cpp/GGUF, external OpenAI-compatible adapter, documents, or core routing.
2. Check whether the change affects public behavior through the CLI, API, events, Python facade, or app helpers.
3. Verify capability claims are honest:
   • return explicit fallback metadata when a runtime cannot support a constraint
   • avoid universal performance claims across all backends
   • keep optional dependencies profile-gated
4. Map to tests under tests\unit, tests\integration, or tests\e2e.
5. Avoid requiring local model weights unless the user explicitly requested real-model validation.

Output

Return:

• affected runtime path
• capability/fallback impact
• public surface impact
• targeted tests