stroblmeandClaude Fable 5
fea57064f9
The workflow this serves: make a venv, install what you work with, then `pip install fluksio` into the same one. Building a second environment beside it was exactly wrong — the packages the nodes need are already here, and the Modules screen was asking for them a second time. `NODE_VENV=auto` (the default) adopts that venv. It declines in the three cases where adopting would be wrong: `managed` says otherwise, a managed venv already exists and may hold packages somebody installed on purpose, or the engine is not running from a venv at all. The images set `managed`, since the venv in them holds the app and nothing of anybody else's. An adopted venv is never written to. `uv pip sync` makes a venv hold exactly the manifest, so pointed at somebody's own environment it uninstalls their work and the engine with it — `sync()` refuses outright and `reconcile()` returns before it can be called at startup, which is where that would have happened first. The Modules screen lists what is installed and drops its editor; `pip` is how that environment changes. `fluksio serve` now names the interpreter node code runs on, which is the thing a data scientist most needs to know at that moment. `fluksio-worker` already defaulted `--python` to its own interpreter, so a GPU box works the same way — that was only ever undocumented. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012ue1tkFWB1bcGy3aWhCKpU
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.