bsdkrun (Python SDK)
A Python SDK for bsdkrun — a Firecracker-style microVM launcher for BSD, Linux, and unikernel guests on macOS and Linux, built on libkrun. Boot and drive microVMs programmatically, inspired by the Vercel and Deno Sandbox SDKs.
It's a thin wrapper that shells out to the bsdkrun binary, so it has zero
runtime dependencies — stdlib only, Python 3.10+.
from bsdkrun import Sandbox
sbx = Sandbox.create(os="linux", image="alpine")
# exec argv directly, with env / stdin / a PTY / a working dir:
print(sbx.exec(["uname", "-a"]).text())
sbx.exec(["apk", "add", "curl"])
sbx.run_command("curl", ["-fsSL", "https://example.com"])
sbx.stop()
Install
uv add bsdkrun # or: pip install bsdkrun
Or from this repo:
uv add ./sdk/python # or: pip install sdk/python
The bsdkrun binary
You need the bsdkrun binary itself. The SDK finds it via, in order:
set_binary_path("/path/to/bsdkrun")- the
BSDKRUN_BINenvironment variable bsdkrunon yourPATH- an in-repo
target/release/bsdkrunortarget/debug/bsdkrunbuild
See the bsdkrun README for installing the binary (Homebrew on macOS, or build from source on Linux/KVM). This SDK assumes libkrun is already provisioned — it does not auto-install it.
Creating a sandbox
Sandbox.create is keyed on os — the options change per guest kind:
# Linux OCI image (docker run-style)
Sandbox.create(
os="linux",
image="ghcr.io/owner/name:tag",
cpus=2,
mem=1024,
volume="web", # persistent CoW rootfs
mounts=["~/project:/src", "~/data:/data:ro"],
net={"ports": ["8080:80", "2222:22"]},
command=["node", "server.js"], # args after `--`
)
# FreeBSD (EFI on macOS, PVH on Linux/amd64)
Sandbox.create(os="freebsd", version="14.3", mem=2048)
# NetBSD (direct-kernel boot everywhere)
Sandbox.create(os="netbsd", version="10.1", volume="db")
# Boot a raw disk through its UEFI loader
Sandbox.create(os="firmware", firmware="KRUN_EFI.fd", disk="disk.raw")
# Boot a kernel directly, no bootloader
Sandbox.create(os="kernel", kernel="netbsd", format="elf", disk="root.raw")
Every create runs the machine detached and returns a Sandbox handle.
Environment variables
env sets the guest environment for the machine's entrypoint. It is merged
over the image's own config, so a key the image already defines is replaced
rather than duplicated.
sbx = Sandbox.create(
os="linux",
image="node:22",
env={"NODE_ENV": "production", "PORT": "3000"},
command=["node", "server.js"],
)
Linux guests only — BSD guests boot their own init, so there is no generated
init to export into; set those from exec after boot. For a single command
rather than the whole machine, exec takes its own env.
Running commands
Pass an argv list (no shell parsing), or a program name plus args:
import sys
sbx.exec(["ls", "-la", "/etc"])
sbx.exec(
"node",
args=["-e", "print(1)"],
env={"X": "hi"},
cwd="/app",
stdin="data on stdin",
tty=True, # allocate a PTY
throw_on_error=True, # raise CommandFailed on a non-zero exit (default: False)
on_stdout=lambda chunk: sys.stdout.buffer.write(chunk),
on_stderr=lambda chunk: sys.stderr.buffer.write(chunk),
)
# Vercel-Sandbox-style alias:
result = sbx.run_command("uname", ["-a"])
print(result.stdout, result.exit_code)
exec returns a Result with .stdout, .stderr, .exit_code, .ok, and
helpers .text(), .json(), .lines(), .throw_if_failed().
The stream callbacks receive bytes as they arrive while the complete output
is still captured in the returned Result. They are independent of tty;
allocating a TTY changes command behavior and may merge stderr into stdout.
Caching
sbx.cache saves a guest directory under a key and restores it later, so a
rebuild can pick up where the last one left off. A miss is not an error —
check restored rather than catching.
from bsdkrun import caches
key = f"deps-{lock_hash}"
hit = sbx.cache.restore(key=key, restore_keys=["deps-"])
if not hit.restored:
sbx.exec(["npm", "ci"])
sbx.cache.save("/app/node_modules", key=key, compression="zstd")
caches.ls() # every stored entry, newest first
caches.rm([key]) # or caches.rm(all=True)
restore_keys are prefixes tried in order when the exact key misses; within a
prefix the newest matching entry wins, and hit.key says which one was used.
Formats are gzip (default), zstd, estargz and none.
Where entries live is host configuration, not an SDK concern: the default is
this host's disk, and BSDKRUN_CACHE_BACKEND=s3 + BSDKRUN_CACHE_S3_* (or
~/.config/bsdkrun/cache.toml) points them at a bucket instead.
Files
sbx.fs reads and writes files in the guest. Parent directories are created
for you, and everything is byte-exact — read_file returns bytes, so a
PNG survives the round trip.
sbx.fs.write_file("/app/main.py", "print('hi')")
sbx.fs.write_file("/app/logo.png", png_bytes)
text = sbx.fs.read_text("/app/out.json")
data = sbx.fs.read_file("/app/logo.png")
sbx.fs.upload("./src", "/app/src") # file or directory
sbx.fs.download("/app/dist", "./dist", recursive=True)
upload looks at the local path to decide whether to recurse; download
cannot (the path is in the guest), so pass recursive=True for a directory. A
directory's contents land in the destination: upload("./src", "/app/src")
leaves the guest's /app/src holding what ./src holds.
Failures raise FileTransferError, which carries the offending path.
Transfers ride the same in-guest agent as
exec, so the sandbox must be running. A directory copy also needstarin the guest; single files need only the shell every bootable image already has.
Lifecycle & inventory
sbx = Sandbox.create(os="linux", image="alpine", command=["sleep", "300"])
same = Sandbox.get(sbx.id) # reconnect (prefix ok)
rows = Sandbox.list(all=True) # list[SandboxInfo]
sbx.status() # SandboxInfo | None
sbx.is_running() # bool
sbx.logs() # console log (str)
sbx.shell() # interactive shell (inherits the terminal)
sbx.stop() # BSD guests clean-poweroff; Linux SIGTERM
sbx.start() # restart in place — resumes its own disk/rootfs (data persists)
sbx.update(cpus=4, mem=2048) # applies on next start
sbx.remove(force=True)
Host-level namespaces:
from bsdkrun import images, volumes, networks, system
system.probe() # toolchain sanity check
images.list() # list[ImageInfo]
volumes.list() # list[VolumeInfo]
volumes.remove("web", force=True)
networks.list() # list[NetworkInfo]
system.fetch_image("freebsd", version="14.3")
system.versions("netbsd")
Global networks — reach machines by name
Opt machines into a shared network so they get distinct IPs on one subnet and reach each other by IP and by name (docker-compose style), with internal DNS:
from bsdkrun import Sandbox, networks
networks.create("devnet")
db = Sandbox.create(os="linux", image="postgres", name="db", net={"network": "devnet"})
api = Sandbox.create(os="linux", image="myapi", name="api", net={"network": "devnet"})
# `api` resolves `db` to its IP on devnet and pings it by name:
api.exec(["ping", "-c1", "db"], throw_on_error=True)
# inspect + manage
networks.list() # list[NetworkInfo]
networks.members("devnet") # list[SandboxInfo] on the network
info = db.status() # info.network == "devnet", info.net_ip set
# edit membership (applies on next start — a VM's NIC is fixed at boot)
api.connect_network("devnet") # or networks.connect(api.id, "devnet")
api.disconnect_network()
api.start() # re-joins with the new membership
networks.sync("devnet") # refresh members' /etc/hosts (fixes NetBSD name lookup)
networks.remove("devnet", force=True)
Names resolve on Linux and FreeBSD via the network's DNS; NetBSD resolves
via a synced /etc/hosts block — joins auto-sync, and networks.sync refreshes
an existing network without restarting members.
SSH & Tailscale
# agent-managed key-based SSH
sbx.ssh_setup() # install local ~/.ssh/*.pub keys
sbx.ssh_setup(user="tsiry", key="~/.ssh/work.pub")
# put a guest on your tailnet
sbx.tailscale_up(authkey="tskey-auth-...", hostname="web")
Connecting to a remote daemon
Everything above talks to a local bsdkrun binary. Client is the network
sibling: it drives the same operations against a remote
bsdkrund over its GraphQL API — no local binary
needed, just a URL and a bearer token.
from bsdkrun import Client
client = Client(url="http://vps.example.com:50052", token="9f2c...")
# or, from BSDKRUN_URL / BSDKRUN_TOKEN:
client = Client.from_env()
machines = client.list(all=True) # list[SandboxInfo] — same type Sandbox.list() returns
machine_id = client.run_linux(image="alpine", cpus=2, mem=1024, command=["sleep", "300"])
result = client.exec(machine_id, ["uname", "-a"])
print(result.output.decode(), result.exit_code)
client.stop(machine_id)
client.remove([machine_id])
Client.run_linux/run_bsd/run_nanos/run_unikraft/run_solo5/run_osv/
run_flavor each take the same keyword options as the corresponding GraphQL
mutation (daemon/src/graphql.rs) — run_bsd(os="freebsd", ...), etc. — and
return the new machine's id. run_solo5 boots a MirageOS unikernel under the
solo5-hvt tender rather than libkrun:
run_solo5(path="dist/hello.hvt", args=["--ipv4=10.0.0.2/24"]).
stop/start/remove/update/commit return a
CommandResult(exit_code, stdout, stderr).
Snapshots
A snapshot is a copy-on-write clone of a machine's disk state — instant to
take, free until the two sides diverge. branch boots a new machine from one
(or from a machine, which is snapshotted first); restore/rollback put one
back, leaving the machine stopped. A BSD guest is powered off to snapshot it:
a mounted UFS cannot be cloned consistently.
snap = client.snapshot(machine_id, "before-upgrade")
client.snapshots(machine_id) # newest first
branch_id = client.branch(snap.name, name="web-test")
client.restore(machine_id, snap.name) # or client.rollback(machine_id)
client.remove_snapshots([snap.name])
Docker
bsdkrun runs one docker:dind microVM and serves its API on a host unix
socket, so the host's own docker CLI drives the same engine these calls do.
Starting is idempotent — the VM has a fixed name, so it resumes rather than
creating a second.
status = client.docker_start(cpus=4, mem=4096) # or just docker_status()
print(status.socket) # export DOCKER_HOST=unix://...
for c in client.docker_containers():
print(c.name, c.state, c.ports)
client.docker_container("restart", "web")
print(client.docker_logs("web", tail=50))
For a live terminal instead of a one-shot exec, use shell():
session = client.shell(machine_id) # or shell(machine_id, command=[...]) for a non-login command
session.on_output(lambda data: print(data.decode(), end=""))
session.on_exit(lambda code: print(f"\nexited {code}"))
session.write(b"ls -la\n")
session.resize(rows=50, cols=120)
session.close()
follow_logs(id, on_data=...) streams a machine's console live instead of
the one-shot logs(id). Both exec/shell and follow_logs are built on
the same openShell/shellOutput shell-session protocol the daemon uses for
every interactive terminal — see daemon/README.md
for the wire-level story.
Not every GraphQL operation has a typed method yet (flavor/network/volume
management, for instance) — client.request(query, variables) runs any raw
query or mutation, and client.subscribe(query, variables, on_next=...) runs
any raw subscription, for anything not wrapped above.
Like the local SDK, Client has zero runtime dependencies — the HTTP
transport is stdlib urllib, and subscriptions (used by exec/shell/
follow_logs) run over a hand-rolled graphql-transport-ws WebSocket client
on top of stdlib socket/ssl, since Python's standard library has no
WebSocket client of its own.
Client(url=..., token=...) and from_env() both reject a URL configured
without a token rather than silently making an unauthenticated request — set
both BSDKRUN_URL and BSDKRUN_TOKEN, or pass both explicitly.
Errors
All errors extend BsdkrunError:
BinaryNotFound— thebsdkrunbinary wasn't found.CommandFailed— a command exited non-zero (carriesexit_code,stdout,stderr). Raised byexecwhenthrow_on_error=True, by the lifecycle methods, and by the agent helpers.SandboxNotFound—Sandbox.getmatched no machine.GraphQLError— aClientrequest failed (carriescode, the daemon'sextensions.code, when there is one).AuthError(aGraphQLError) — the daemon rejected the bearer token.
Try it interactively
uv run console.py
Starts IPython with the SDK preloaded — Sandbox, the images / volumes /
networks / system namespaces, and a ps() shorthand for
Sandbox.list(all=True). Pass --bin ../../target/release/bsdkrun to drive a
locally built binary for the session. Falls back to the stdlib REPL if IPython
isn't installed.
Development
The SDK is developed with uv. From sdk/python:
uv sync # create .venv and install the dev group
uv run pytest # tests
uv run ruff check # lint
uv run ruff format # format
uv run mypy # type-check (strict)
The package itself has no runtime dependencies — pytest, ruff, and
mypy live in the dev dependency group and are never installed for consumers.
License
MIT
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