Each was a loose end recorded under `### SDK` in the notepad. `serve` takes its own pidfile down on SIGTERM. uvicorn restores the handler it found and re-raises the signal it stopped on, so the default handler ended the process without unwinding and the `finally` never ran — which is what a stop sends, and what left `serve.pid` behind. `serve.log` is cut back past 5 MB by the engine rather than by the screen that started it, so an adopted engine is bounded too. Gated on its own stdout being an appended regular file, which is what makes the cut safe: the kernel then puts the next write at the new end. Cards are counted from `/dev/nvidia[0-9]*`, so `FLOW_GPUS`/`--gpus` of 0 means "work it out" the way `FLOW_CPUS` always has. The engine counts, not the accountant — a remote worker builds one of those from its own inventory, and detecting there would hand it the engine host's cards. The worker counts last: what a batch job says it was granted still wins. `GET /runs/metrics/names` is the distinct over a selection that `--list` and the terminal's metric picker were approximating by reading the newest run that had measured anything, which missed a name only an older run ever wrote. `MetricSink` announces each batch it has written (`run_metric`, carrying the names). Not a per-point event: one covers up to 500 points or two seconds of them, and the rows stay the record. The terminal comparison fills in as the first readings land instead of staying blank until reopened, and the browser refetches the run and any comparison rather than the list behind them. `retry --group` pages the list route by `before` instead of stopping at 500. The terminal dashboard takes the terminal's colours (`ansi-dark`), and the web UI can re-pair from Settings without disconnecting first. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PRQ9bmTvCbqCwXo9mxZzzV
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).