sandbox-fork

Demonstrates sb.fork(): install dependencies once into a base sandbox, then branch into two independent sandboxes that run different workloads in parallel — without repeating the install.

Setup

bunx alineo-cli init   # starts OpenSandbox in Docker (one-time setup)

Run

bun install
bun start

What it does

1. Creates a python:3.11-slim sandbox and installs numpy
2. Forks into two independent sandboxes (track-a, track-b) from the post-install state
3. Runs a different numpy computation on each fork in parallel
4. Lists the checkpoints recorded on the original sandbox
5. Closes all three sandboxes

Both forks start with numpy already installed — neither pays the pip install cost again.