3c028fed5a
cuda_available() only covers "no GPU present". On a shared card the GPU can exist but fail to load the model (VRAM exhausted by another process e.g. Ollama). Try CUDA first, fall back to a CPU model on any load error instead of crashing the transcription job. Supports HA portability (node without GPU) and a contended GPU. Adds GPU-path + fallback tests. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
void-workers
Python ML ingest service alongside void-server (Node). Sibling of lib/ in the void-v2 repo.
Local dev
cd workers
python3.12 -m venv .venv
. .venv/bin/activate
pip install -e ".[all]"
export DATABASE_URL="postgres://..."
python -m void_workers.runner
Tests
pip install -e ".[test,all]"
DATABASE_URL="postgres://..." pytest -v
See ../docs/superpowers/plans/2026-06-01-void-v2-plan4-workers.md for the full plan and ../docs/superpowers/specs/2026-06-01-void-v2-plan4-workers.md for the design.