Sandboxes Quickstart

from tensorlake.sandbox import Sandbox


# Ephemeral sandbox — no name, terminates when done, cannot be suspended
sandbox = Sandbox.create()

# Run code inside the sandbox
result = sandbox.run("python", ["-c", "print('Hello from sandbox')"])
print(result.stdout)

# Copy files in or out as the sandbox accumulates state
sandbox.write_file("/workspace/local-file.txt", b"example content")
file_bytes = bytes(sandbox.read_file("/workspace/local-file.txt"))
print(file_bytes.decode("utf-8"))

import { Sandbox } from "tensorlake";


// Ephemeral sandbox — no name, terminates when done, cannot be suspended
const sandbox = await Sandbox.create();
console.log(sandbox.sandboxId, sandbox.status);

for (const sb of await Sandbox.list()) {
  console.log(sb.sandboxId, sb.status);
}

// Run code inside the sandbox
const result = await sandbox.run("python", {
  args: ["-c", "print('Hello from sandbox')"],
});
console.log(result.stdout);

// Copy files in or out as the sandbox accumulates state
await sandbox.writeFile(
  "/workspace/local-file.txt",
  new TextEncoder().encode("example content"),
);
const fileBytes = await sandbox.readFile("/workspace/local-file.txt");
console.log(new TextDecoder().decode(fileBytes));

sandbox = Sandbox.create(cpus=2.0, memory_mb=2048, disk_mb=12000, timeout_secs=600)

const sandbox = await Sandbox.create({
  cpus: 2.0,
  memoryMb: 2048,
  diskMb: 12000,
  timeoutSecs: 600,
});