Run Python, JavaScript, and other programs in disposable microVMs from Elixir.
SmolBox is an Elixir client and supervised execution runtime for SmolVM, which runs lightweight virtual machines on your own hosts. SmolVM provides the machines and worker API; SmolBox tracks commands, results, and cleanup from your application's supervision tree.
Use it when an Elixir application needs to call a Python library, run a JavaScript processing step, or execute a script in a separate guest environment. You operate the workers and prepare images containing the languages and dependencies you need. Each managed execution runs one command in its own disposable VM.
Why use SmolBox?
Executing a command is only part of integrating a worker. Your application also needs to handle duplicate requests, lost responses, restarts, and leftover VMs. SmolBox provides that execution lifecycle:
- Keep one identity for a request. Submitting the same scoped ID and specification returns the existing handle. A different specification under that ID is rejected.
- Track work across application restarts. A durable store adapter preserves execution records so the runtime can resume observation and cleanup. When a command may have run but its result was lost, SmolBox records an unknown outcome instead of automatically running it again.
- Manage files and machine lifecycle. The runtime stages input files, limits captured output and file sizes, and tracks cancellation and cleanup separately from the command's exit status.
What execution looks like
This example assumes a supervised runtime named MyApp.Sandboxes is already
configured. python_artifact is the registered Python image's identity map
("id", "sha256", "architecture"), and profile is one of the runtime's
allowed execution profiles. Getting started walks
through the complete worker and runtime setup.
alias SmolBox.{Command, ExecutionSpec}
argv = ["python", "-c", "print(6 * 7)"]
{:ok, command} = Command.new(argv, timeout_secs: 10)
{:ok, spec} =
ExecutionSpec.new(
scope: "demo",
id: "answer-001",
artifact: python_artifact,
profile: profile,
command: command
)
{:ok, handle} = SmolBox.submit(MyApp.Sandboxes, spec)
{:ok, ^handle} = SmolBox.submit(MyApp.Sandboxes, spec)
{:ok, execution} =
SmolBox.await(MyApp.Sandboxes, handle, 90_000)
%{state: :completed, result: result} = execution
%{exit_code: 0, stdout: stdout} = result
IO.write(stdout)
# Prints: 42The second submission reuses the execution; it does not start another command.
The matches above show a successful run. In your application, handle errors,
nonzero exits, and unknown outcomes explicitly. Cleanup can still be pending when
await/3 returns, and its wait timeout does not cancel the command. Keep the
runtime supervised and inspect the record with SmolBox.fetch/3; see
result handling and troubleshooting.
If your application already owns machine lifecycle and persistence,
SmolBox.Client exposes individual worker operations for
creating machines, executing commands, streaming output, and transferring files.
Installation and first run
Add SmolBox to your application's mix.exs:
{:smolbox, "~> 0.1.0"}Then run mix deps.get. The API documentation
includes the guides below. A local checkout can instead be used with
{:smolbox, path: "../smolbox"}.
To run the local walkthrough, you need:
- Elixir 1.18 or later, using a tested Elixir/OTP pair.
- A dedicated SmolVM 1.14.1 worker on Linux x86_64 with KVM or macOS Apple Silicon.
- A prepared Python image for that worker's architecture, with its SHA-256 recorded. The guide links to the image preparation commands and host capacity requirements.
Follow Getting started to configure supervision,
stage a Python file, submit it, read its output file, and confirm cleanup. The
walkthrough uses an in-memory store and needs no database. Applications that need
restart recovery must provide a durable SmolBox.Store adapter; a complete
PostgreSQL host example
is included in the repository.
Current scope
SmolBox has real execution and durable recovery tests on Linux x86_64 and macOS Apple Silicon. It supports the pinned SmolVM 1.14.1 API; other upstream versions need compatibility verification.
The current release is tested for development use. It has not been qualified for production execution of hostile code or hard host resource limits. VM allocation settings and limits on returned files/output do not establish those guarantees. Read Deployment boundaries when assessing a deployment.
Worker installation, runtime image preparation, authentication, and host storage remain application/operator responsibilities. SmolBox runs programs already available in the prepared image. TypeScript needs a compiler or runner in that image; SmolBox does not build or publish user functions.
Guides
| Guide | What you will learn |
|---|---|
| Getting started | Connect, stage a Python program, submit it, read its result, and finish cleanup |
| Managed host integration | Configure supervision, workers, profiles, storage, and execution specifications |
| Low-level client | Create machines, execute commands, stream output, and transfer files |
| Troubleshooting | Interpret errors, unknown outcomes, queued work, and pending cleanup |
| Persistence and recovery | Use durable storage and recover after controller or worker failures |
| Telemetry | Observe activity and inspect workers without treating notifications as receipts |
| Deployment boundaries | Understand worker isolation, credentials, file boundaries, and operator responsibilities |
| Compatibility | Check the tested SmolVM, Elixir/OTP, OS, and artifact combinations |
Contributing
Source: hfiguera/smolbox. Maintainer toolchain
versions are in .tool-versions; tested consumer combinations are recorded in
the compatibility guide. From this repository, mix ci runs deterministic checks
without contacting a real worker. Generate this site with
MIX_ENV=dev mix docs --warnings-as-errors. Live worker tests are a separate opt-in
operation described in the repository's
CI guide.