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>
22 lines
678 B
Markdown
22 lines
678 B
Markdown
# fluksio-worker
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Runs [Fluksio](https://fluksio.com) nodes on a machine the engine cannot reach —
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a GPU box, a cluster node, anything behind a NAT. It dials *out* to the engine
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over one authenticated websocket, so nothing has to be exposed here.
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```sh
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pip install fluksio-worker
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fluksio-worker \
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--url wss://api.example.com/api/v1/workers/attach \
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--token "$FLUKSIO_WORKER_TOKEN" \
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--labels gpu,cuda12 \
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--python /opt/torch-venv/bin/python
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```
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`--python` is the interpreter node code runs on, which is how this machine keeps
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its own wheels without the engine ever installing them. Mint a token from the
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engine with `POST /api/v1/workers/tokens`.
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Linux and macOS.
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