stroblmeandClaude Opus 5.5
4f4de1fd9d
The one-hue ramp told lines apart by lightness alone. --chart-1 is now --primary and slots 2-8 are distinct hues (orange, violet, green, orchid, ochre, teal, magenta) that clear 3:1 on --card and stay apart under protanopia and deuteranopia; red and sage are left out as the status colours. A chart takes the slots in order instead of spreading a ramp, and a dashboard's own palette continues after its primary and listed colours with slots 2-8 rather than tints of its scheme. Line charts stay at five series. Tokens mirror index's, as design-check requires. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013GAeg4Jo6xjZzjwy9QDWMQ
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.${DOMAIN}
docker/ compose.yml → compose.dev.yml → compose.local.yml (+ compose.traefik.yml)
scripts/ generate-client.sh, test.sh
Install without Docker
Get started quickly by running
pip install fluksio
fluksio serve
Then, head over to fluksio.com, sign up and add a new instance. Using the code provided, run
fluksio enroll <code>
and you're ready to rock.
Fluksio is distributed at it's heart. A machine that should only run nodes for an engine elsewhere installs less:
pip install fluksio-worker
fluksio-worker --url wss://api.fluksio.com/api/v1/workers/attach --token "$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.