stroblmeandClaude Opus 5
3c15964364
A cache hit still replays no emissions — those values were the story of an
execution that is not happening — but the run they were recorded in is now
written on the row (`run_node.cached_from`), and the metrics endpoints read the
series back from there. So a reused run answers `run.metrics("train.loss")`
with the same points the run that trained did, rather than looking like a run
that produced no numbers at all. Pointed at rather than copied: a sweep of 500
reusing one frozen node would otherwise duplicate its curve 500 times.
That needed the cross-flow restore fixed first. The cache key has no flow in
it while the stored outputs are named for the flow that produced them, so
`quick.prepare` getting a hit from `train` wrote `train.dataset` into `quick`'s
state and the next node was called without its argument. One rule now covers
both halves: `requalify` reads a name owned by one flow as the same name in
another, applied to the restored outputs, to the node id behind the pointer,
and to the series names on the way out. Reuse across flows is kept.
Also: `@run:<id>.<output>` and a bare `sha256:` digest resolve on every input,
not only artifacts. Chaining a run's json config into the next one from a shell
meant pasting the whole object inline, and the CLI could not even send the
spelling — `_coerce` died in `json.loads` before the engine saw it. Both
spellings are reserved on every input now, `str` included, and `_from_run`
returns whatever the run's result holds rather than only a reference.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dp9L6gakMVro1K2C5zdtBE
Fluksio App
Fluksio is a node-based automation software that brings trust and reliability to your flow. It just works and looks good.
The core of Fluksio: a node-based, test-driven automation software built to scale. This
repo holds the FastAPI backend, the flow engine, and the dashboard SPA. It is served on
app.${DOMAIN} (SPA) and api.${DOMAIN} (API)
Layout
backend/ FastAPI + SQLModel + Alembic + SQLite
fluksio/flow/ the flow engine (nodes, pipeline, state backends, controller)
fluksio/cli.py `fluksio serve` / `enroll` / `worker`
worker/ the `fluksio-worker` distribution: the agent and the node runner
frontend/ React 19 + TanStack Router + Tailwind 4 + shadcn/ui
docs/ the public documentation site (zensical), served on docs.${DOMAIN}
docker/ compose.yml → compose.dev.yml → compose.local.yml (+ compose.traefik.yml)
scripts/ generate-client.sh, test.sh
Install without Docker
Get started quickly by running
pip install fluksio
fluksio serve
Then, head over to fluksio.com, sign up and add a new installation. Using the code provided, run
fluksio enroll <code>
and you're ready to rock.
Fluksio is distributed at it's heart. A machine that should only run nodes for an engine elsewhere installs less:
pip install fluksio-worker
fluksio-worker --url wss://api.example.com/api/v1/workers/attach --token "$TOKEN" --labels gpu
Getting started
Normally driven from the workspace root (make init once, then make dev). Standalone:
make install # uv sync + bun install
make dev-utils # proxy and mailcatcher only
make dev-backend # FastAPI on :8000, hot reload
make dev-frontend # Vite on :5173
make test # pytest + Playwright (the e2e half needs the stack up)
make lint # ruff + mypy + biome
make generate-client # regenerate the frontend SDK from the OpenAPI schema
make help lists every target.
Documentation
The public site lives in docs/ and is built with zensical:
make docs-serve # live preview on :8000
make docs # static build into ./site
It is served at docs.${DOMAIN} by the docs service in docker/compose.yml,
and .gitea/workflows/docs.yml builds it with --strict on every push.
License
Copyright (C) 2026 Melvin Strobl - GNU Affero General Public License v3.0 or later. See LICENSE.