Pipelines

Preview

The Pipelines tab is in early access while the underlying orchestrator is finalized. List and detail views are read-only; you can't yet author or run pipelines from the UI. See troubleshooting for the known limitations.

A pipeline is a named DAG of steps. Each step is a containerized task — a Python function, a script, a shell command — wired with inputs, outputs, and conditions. Pipelines turn one-off scripts into reproducible, schedulable workflows.

See Anatomy for the full step model.