A cluster or GPU host installs `pip install fluksio-worker` and gets the agent and the runner, not psycopg, numpy and the MCP SDK. The engine depends on it as a workspace member, so the file it launches node code with is the same file a remote worker runs — which is what keeps a node unable to tell the difference. Copying the two files by hand still works. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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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.