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Workflows

Loom workflows are defined in .loom/workflow.yml and describe what to run, in what order, and how to diagnose failures when they happen.

The v1 workflow format is designed to be familiar to anyone who has used modern CI systems: stages, jobs, variables, includes/templates, secrets, and cache configuration — paired with Loom's pointer-first diagnostics model (receipts, manifests, structured events) so you can follow pointers to the exact failing unit instead of hunting through console output.

If you're new to Loom, start with Getting Started → Hello Loom first, then come back here for the full syntax and patterns.

If you need runtime defaults such as Docker workspace mount mode or provider alias wiring, see Runtime config. .loom/workflow.yml remains the executable workflow source of truth.

Choose the right surface

Workflow definition, runtime defaults, and env-based overrides live in different places on purpose:

SurfaceUse it for
.loom/workflow.ymlJobs, stages, scripts, variables, cache, and secrets references
.loom/config.ymlRepo-scoped runtime defaults for local execution
~/.config/loom/config.ymlUser-scoped runtime defaults on one machine
Environment variablesSecret values and one-off runtime overrides

If you are deciding what the pipeline does, stay in the workflow docs. If you are deciding what local defaults Loom should assume before a run starts, go to Runtime config.

Runtime config is runtime-only. It is not a second workflow language.

Minimal workflow (copy/paste)

A schema-valid "hello workflow" you can paste into .loom/workflow.yml and run locally:

version: v1
stages: [ci]

check:
stage: ci
target: linux
script: ["echo hello from Loom"]

Why Loom workflows

Loom workflows make failures diagnosable without log archaeology. After every run, Loom produces deterministic artifacts — receipts, manifests, and structured events — so you follow pointers to the exact failing unit instead of scrolling through raw console output.

Traditional CILoom
Scroll through combined stdout/stderr to find the errorFollow pointer chain: receipt → manifest → failing step events.jsonl
Re-run with set -x to reproduceInspect structured events captured during the original run
Grep logs for "error" across jobsRead summary.json for status + exit code, then drill into the one failing job

What's supported today

  • Workflow file: .loom/workflow.yml (or --workflow <path>).
  • Local execution: loom run --local (Linux target only in the current release).
  • Jobs:
    • Jobs run on the host shell by default, or in Docker when an image: is set.
    • Job scripts are an ordered list of command strings (script:).
  • Secrets: jobs can declare secrets that are resolved at runtime and injected securely. See Secrets.
  • Strict schema: workflows are validated via loom check (schema v1).

Platform support

  • Linux-only local execution: the local runner supports target: linux. If you're on macOS or Windows, run Loom inside a Linux environment (VM, container, or CI runner).

  • Docker is optional: you only need Docker if your workflow uses job image: (see Docker provider).

  • Provider routing is per job:

    Job configurationProvider used
    No image:Host provider
    image: setDocker provider

What's enforced vs what's planned

Loom has two layers to keep separate:

LayerWhat it meansExamples
Enforced (schema validation via loom check)The workflow is schema v1 compliant: required keys, allowed shapes, naming rulesversion, stages, stage, target, script, variables, cache, secrets
Schema-accepted, runtime evolvingKeywords are accepted so workflows can be written future-compatible, but may not change execution behavior yetneeds (DAG scheduling), runner_pool (remote execution), invariant (policy checkpoints)

When in doubt, treat the "What's supported today" section as the behavior you can rely on. Planned sections signal direction, not commitment.

Runtime config boundary

The current layered runtime config surface is consumed only by:

  • loom config show
  • loom run --local

loom check and loom compile still read workflow inputs rather than layered runtime config.

Planned

  • Remote execution (runner pools + leases).
  • Richer job sections (before_script, after_script) and expanded step semantics.
  • Full DAG scheduling via needs.
  • Runner pool capability/constraint enforcement.
  • Invariant policy checkpoints with decision capture in receipts/events.

Next steps