tenki-sandbox 0.4.0

Python SDK for Tenki Sandbox

Tenki Sandbox Python SDK

Python SDK for Tenki Sandbox: cloud sandboxes for AI agents and code execution.

pip install tenki-sandbox

from tenki_sandbox import Sandbox

# create() waits by default via a single server-held request and returns an
# exec-ready sandbox with data-plane access primed (wait=False to skip).
with Sandbox.create(project_id="proj_123", cpu_cores=2, memory_mb=4096) as sb:
    result = sb.exec("python3", "-c", "print('hello')")
    result.check()
    print(result.stdout_text)

    # fs paths are relative to the sandbox workdir (absolute paths must stay inside it)
    sb.fs.write_text("input.txt", "data")
    print(sb.fs.read_text("input.txt"))

    preview = sb.expose_port(3000, ttl=3600)
    print(preview.url)

Async (asyncio)

AsyncClient / AsyncSandbox expose the same surface with native async/await, built on grpc.aio — no asyncio.to_thread wrapping required. Use it inside any asyncio server (FastAPI, aiohttp, etc.).

import asyncio
from tenki_sandbox import AsyncSandbox


async def main():
    async with await AsyncSandbox.create(project_id="proj_123", cpu_cores=2) as sb:
        result = await sb.exec("python3", "-c", "print('hello')")
        result.check()
        print(result.stdout_text)

        await sb.fs.write_text("input.txt", "data")
        print(await sb.fs.read_text("input.txt"))

        proc = await sb.start("bash", "-lc", "read name; echo hi $name")
        await proc.write_stdin("tenki\n")
        await proc.close_stdin()
        async for chunk in proc.stdout:
            print(chunk.decode(), end="")
        (await proc.wait()).check()


asyncio.run(main())

The sync Client / Sandbox remain available for non-async consumers. SSH, dial, and host-port tunnels are also async: AsyncSandbox.ssh() returns an AsyncSSHConn (raw async read/write/close, matching the TS/Go SDKs; needs the tenki-sandbox[async] extra for websockets), dial() returns an AsyncDialConn, and expose_host_port() / expose_host_port_resilient() return async tunnels with await tunnel.terminated.wait() and on_terminated callbacks.

Auth

Auth resolution:

1. auth_token= passed to Client or Sandbox.create
2. TENKI_AUTH_TOKEN
3. TENKI_API_KEY

TENKI_API_ENDPOINT overrides the API URL; legacy TENKI_API_URL is also accepted.

Process API

exec collects stdout/stderr and returns a result:

result = sb.exec("npm", "test", cwd="project", timeout=60, env={"CI": "1"})
print(result.stdout_text)
result.check()

start returns a live process:

proc = sb.start("bash", "-lc", "read name; echo hello $name")
proc.write_stdin("tenki\n")
proc.close_stdin()
for chunk in proc.stdout:
    print(chunk.decode(), end="")
proc.wait().check()

Use shell() when you want shell parsing:

sb.shell("python3 -m http.server 3000 >/tmp/server.log 2>&1 &")

Process cwd values follow the guest contract: relative paths are normalized under the sandbox guest workdir (/home/tenki by default), absolute paths are used unchanged, and missing or non-directory targets fail before the process starts.

Sandbox lifetime

Long-lived sandboxes are a parameter choice at create(), not a separate API:

sb = client.create(
    project_id="proj_123",
    sticky=True,              # long-lived session: not reaped on idle
    idle_timeout_minutes=120, # or: generous idle window before auto-pause
    max_duration=8 * 3600,    # total lifetime cap (seconds)
    pause_retention=24 * 3600,# how long a paused session is kept resumable
)

• max_duration caps total lifetime; sb.extend(seconds) pushes the deadline (sb.info.timeout_at) while running.
• idle_timeout_minutes auto-pauses an idle sandbox; sb.resume() brings it back with the filesystem intact.
• sticky=True opts the session out of idle reaping for keep-warm use cases (workspaces cap concurrent sticky sessions).
• client.list(sticky=True) filters for long-lived sessions.

SSH

For tools that speak SSH (paramiko, scp, IDE remote dev), the SDK can mint a short-lived OpenSSH user certificate for your session and open a transport to the sandbox SSH gateway. No keys are provisioned into the guest; the engine signs your local public key and the gateway verifies the certificate.

Requires pip install websocket-client paramiko (websocket-client for the transport, paramiko if you want a client in-process).

import subprocess
import paramiko

# 1. local keypair (any OpenSSH key works; ed25519 shown)
subprocess.run(["ssh-keygen", "-t", "ed25519", "-N", "", "-q", "-f", "id_tenki"], check=True)

# 2. engine signs a short-lived user cert for this sandbox
cert = sb.issue_ssh_cert(open("id_tenki.pub").read(), ttl=600)
open("id_tenki-cert.pub", "w").write(cert.ssh_cert)

# 3. open the gateway transport and run a paramiko session over it
pkey = paramiko.Ed25519Key.from_private_key_file("id_tenki")
pkey.load_certificate("id_tenki-cert.pub")

transport = paramiko.Transport(sb.ssh())  # WebSocket-backed socket
transport.connect(username="tenki", pkey=pkey)
session = transport.open_session()
session.exec_command("echo hello-over-ssh")
print(session.makefile().read().decode())
transport.close()

Notes:

• sb.ssh() / client.ssh(session_id) discover an active gateway and return SSHConn, an io.RawIOBase socket usable anywhere paramiko accepts one.
• The SSH username is tenki.
• TENKI_SANDBOX_GATEWAY_URL overrides the gateway WebSocket URL (it is otherwise derived from the API endpoint).
• Certificate RPCs use the Connect protocol over HTTPS (same as the Go SDK and the tenki CLI), so they work through standard HTTP load balancers.
• sb.update_ssh_authorized_keys([...]) additionally plants long-lived public keys in the guest's authorized_keys if you prefer key-based auth for the in-guest sshd.

Resource APIs

from tenki_sandbox import Client, GiB

client = Client()

volume = client.volumes.create(
    workspace_id="ws_123",
    name="cache",
    size_bytes=10 * GiB,
    project_id="proj_123",
)

preview = client.preview_urls.create(
    project_id="proj_123",
    slug="demo",
    session_id=sb.id,
    port=3000,
)

Registry

Delete an untagged, non-latest, unshared registry version by image and snapshot ID:

result = client.registry.delete_version(
    "11111111-1111-1111-1111-111111111111",
    "55555555-5555-5555-5555-555555555555",
)

Templates (typed builder)

TemplateSpec is an immutable typed recipe (every builder call returns a new value). Builds freeze the normalized spec + spec_hash server-side and return a private digest-addressed Image, the normal sandbox launch source.

from tenki_sandbox import Client, TemplateSpec

client = Client()

spec = (
    TemplateSpec()                     # defaults to base image "sandbox"
    .from_image("sandbox-v2")          # or .from_template(...) / .from_snapshot(...)
    .with_git_context("https://github.com/acme/node-api", "main")
    .run("npm ci", name="Install dependencies")
    .runtime_env({"NODE_ENV": "production"})
    .start(["npm", "start"], ready_when=[{"http": "http://localhost:3000/health"}])
)
spec.validate()  # aggregate local validation; server stays authoritative

template = client.templates.create(workspace_id="ws_123", name="node-api", spec=spec)

build = client.templates.build(
    template,                          # resource objects in, IDs as fallback
    build_secrets={"GITHUB_TOKEN": token},  # explicit request-time values
    wait_for_completion=True,
    on_event=lambda e: print(e),       # one ordered log/progress handler
)

sb = client.create(image=build.image, wait_for_runtime=True)

wait_build(build_id) reconnects to an existing build (ordered, deduplicated events). Local interruption (Ctrl-C or cancel_event) stops observation only; client.templates.cancel_build(build) cancels remotely. Waited failures raise TemplateBuildFailedError carrying the final redacted build; runtime waits raise TemplateRuntimeFailedError without terminating the running sandbox. Strict JSON import/export: spec.to_json() / TemplateSpec.from_json(text). See examples/template_builder.py for the full filesystem/memory workflow.