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[workflow action package]

@beam/py-synthetic-prepare

Python synthetic prepare

Initial model of a synthetic training run: a real float32 vector seeded by seed and the model size (mean square lossStart), continued from an optional model or salted by an optional dataset, plus a JSON report with its loss. Python standard library in beam-sandbox/v1.

ExternalActiveValidatedHippius artifactdistributed-runsyntheticpythonsandboxprepareinit

Trust

External

Placements

3

Permissions

-

Versions

3

[package identity]

Details

Identity and execution metadata for the latest version.

Package
@beam/py-synthetic-prepare
Repository
-
Author
beam
Category
ml
API version
workflow-actions/v2
Latest tag
latest -> 1.2.0
Task mode
single-worker
Default placement
external-workers
Visibility
Public
Published
Nov 1, 2026, 7:09 AM
Updated
11/1/2026

[workflow reference]

Use in a workflow

Drop this into a workflow definition to reference the action.

{
  "actionPackageName": "@beam/py-synthetic-prepare",
  "actionVersionRange": "^1.2.0",
  "config": {},
  "inputBindings": {}
}

[developer tooling]

CLI

Publish and resolve packages from a local development environment.

beam-registry publish . --tag latest
curl "https://api.lab.b3m.dev/registry/v1/resolve/%40beam/py-synthetic-prepare?range=latest"