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stroblmeandClaude Opus 5 93374a310e Refuse what a node cannot publish, and stop timing out work that is fine

Four things the python SDK turned up, each fixed where every client sees it.

A key no port declares is now an error rather than a silent drop, on the
return, the yield and the emit alike — the contract the docs already stated.
The SDK reads literal yields at sync time, so a typo fails before anything
runs, and an emission of one fails the call rather than being logged where
nobody looks.

NaN and infinity are refused at the port. JSON cannot spell either, so one
that travelled came back as a 500, a socket frame that stopped the canvas, or
a metric batch the database dropped whole.

An artifact input takes `@run:<id>.<output>` or a bare digest, resolved on the
engine — so the CLI, the run dialog and a python caller mean the same thing,
and a sweep can pass one at all.

Node timeouts are off by default. The clock measured silence, which a training
node is full of, and remote workers had already stopped enforcing it — their
heartbeat reset it. Now a heartbeat proves the agent rather than the node,
ninety seconds of nothing fails the call either way, and the engine touches
work it is still running so a long node is not redelivered at sixty seconds.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019V5bsYGNxcgPs4xXmTPx69

2026-08-25 07:30:14 +02:00

fluksio_worker

Refuse what a node cannot publish, and stop timing out work that is fine

2026-08-25 07:30:14 +02:00

LICENSE

License the workspace under AGPL-3.0-or-later

2026-08-24 11:53:54 +02:00

pyproject.toml

Release v0.1.1

2026-08-24 21:33:18 +02:00

README.md

Say the licence on the two pages PyPI will show

2026-08-24 12:51:53 +02:00

README.md

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.