stroblmeandClaude Opus 5
cfb3941cf3
Inside a worker `import fluksio` is the reporter, which had emit and the artifact calls but no logger — so `fluksio.logger.info(...)`, written against the SDK's top-level export, died with AttributeError after the training it was reporting on had already succeeded. Its records go to the same capture a print does; the handler resolves sys.stderr per record because a call runs under redirect_stderr. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019Hra4ndWMCLU5F3KjUuVAc
fluksio-worker
Runs Fluksio nodes on a machine the engine cannot reach — a GPU box, a cluster node, anything behind a NAT. It dials out to the engine over one authenticated websocket, so nothing has to be exposed here.
pip install fluksio-worker
fluksio-worker \
--url wss://api.example.com/api/v1/workers/attach \
--token "$FLUKSIO_WORKER_TOKEN" \
--labels gpu,cuda12 \
--python /opt/torch-venv/bin/python
--python is the interpreter node code runs on, which is how this machine keeps
its own wheels without the engine ever installing them. Mint a token from the
engine with POST /api/v1/workers/tokens.
Linux and macOS.
License
Copyright (C) 2026 Melvin Strobl — GNU Affero General Public License v3.0 or later. Running a modified version over a network obliges you to offer its users the corresponding source (AGPL §13).