SmolBox
Run Python, JavaScript, and other programs in disposable or retained 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.
The default execution API runs one command in its own disposable VM.
SmolBox.Machines also manages retained machines that can run successive commands
and expose TCP services through fixed worker-host port mappings.
Startup workloads and console diagnostics add immutable
entrypoint, command, environment and working directory on managed image machines.
Console snapshots and bounded streaming aid boot diagnosis; application stdout/stderr
and automatic restart policies remain unsupported by qualified upstream behavior.
Interactive terminal sessions add bounded input/output, resizing and durable exit-or-uncertainty tracking on retained machines.
Long-running commands and background launch support longer builds and persistent services, with explicit budgets and typed launch evidence.
Guest paths and larger files authorize project and home
directories and buffered files up to 16 MiB. Defaults remain /workspace and
1 MiB. Policies persist through controller recovery and apply to ordinary command
working directories too.
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: 42
The 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
SmolBox 0.2.0 defaults to smolvm 1.17.0 on Linux x86_64 and macOS Apple Silicon, following real-worker qualification. It adds retained machines, services, terminals, startup configuration and larger file transfers while preserving the existing disposable execution API.
Upgrading from 0.1.x requires coordination. Upgrade shared controllers and store adapters together, apply the example's machine/port migrations if using it, and upgrade workers separately or explicitly pin their installed versions. New record formats and retained tombstones constrain rollback. Start with Upgrading to 0.2.0.
Add SmolBox to your application's mix.exs:
{:smolbox, "~> 0.2.0"}
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 worker on Linux x86_64 with KVM or macOS Apple Silicon: smolvm 1.17.0 by default, or explicitly configured 1.16.1, 1.16.0, 1.14.6 or 1.14.1 workers.
- The host's
resize2fstool for 1.14.6, 1.16.0, 1.16.1 and 1.17.0 disk requests below template sizes. On macOS, installe2fsprogs; see the runtime prerequisites. - 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.
Managed persistent machines
SmolBox.Machines gives a machine its own durable identity, ownership, resource
reservation, and create/start/stop/delete lifecycle. Run successive commands with
independent execution identities while retaining guest files. With a durable
store, a new controller reconnects to the same machine after an application restart.
Machines remain until explicitly deleted; uncertain work blocks reuse without replay.
See Managed persistent machines for the API, recovery procedures, the required coordinated store upgrade, and a two-process PostgreSQL walkthrough. The existing disposable API remains supported.
Checkpoint execution
SmolBox can restore an operator-approved idle, offline checkpoint into a separate disposable machine for each execution. See Executing from a checkpoint for approval, examples and record schema v3 upgrade requirements.
Current scope
SmolBox has real execution and durable recovery tests on Linux x86_64 and macOS
Apple Silicon with smolvm 1.14.1, 1.14.6, 1.16.0, 1.16.1 and 1.17.0; results are recorded in Compatibility.
SmolBox 0.2.0 defaults to 1.17.0, while 0.1.4–0.1.5 default to 1.16.1; 0.1.3 defaults to 1.16.0 and
0.1.2 to 1.14.6.
Before adopting 0.2.0's 1.17.0 default with an older worker, explicitly
configure runtime_version: "1.16.1", "1.16.0", "1.14.6" or "1.14.1", or follow the
worker upgrade procedure.
The package does not upgrade an external worker. A version mismatch prevents
new execution; arbitrary upstream releases and automatic fallback are not accepted.
Published versions 0.1.4 and 0.1.5 select 1.16.1 by default after
qualification and a cleanup change
that separates disposal from preservation. A failed graceful stop can still leave
unknown work retained; see the recovery rules.
SmolBox supports explicit outbound hostname/CIDR policies with smolvm 1.16.0, 1.16.1 and 1.17.0. Offline remains the default. See Controlled network access for setup and validation boundaries.
SmolBox relies on smolvm's isolation model for running untrusted code. Your deployment must protect worker access and configure host resource limits, networking, and credentials. A subsequent validation campaign tested these controls and failure recovery in one constrained Linux deployment; see Linux deployment validation for its results and limits. The walkthrough does not configure that deployment.
The library's supported qualification remains :development. Its allocation
settings and admission reservations do not enforce host quotas; unsupported
hard-control options remain rejected. Read
Deployment boundaries when configuring your workers.
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
The engineering blog has practical articles about running programs from Elixir and managing their execution lifecycle.
| 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 |
| Managed persistent machines | Retain a machine across commands, recover management, and explicitly dispose of it |
| Low-level client | Create machines, execute commands, stream output, and transfer files |
| Controlled network access | Approve outbound destinations while retaining offline defaults |
| 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 |
| Resource evidence | Review the tested Linux deployment controls, historical experiments, and remaining limits |
| 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.