pandastack 0.3.0

Python SDK for PandaStack — open-source Firecracker microVM sandboxes

PandaStack Python SDK

Python SDK for PandaStack, open-source Firecracker microVM sandboxes for AI agents and code execution.

Install

pip install pandastack

Auth

Create a token in the PandaStack dashboard, then export it:

export PANDASTACK_API_KEY=psk_...
# Optional for self-hosted/dev:
export PANDASTACK_API=http://localhost:8080

Client() also reads ~/.config/pandastack/config.json when environment variables are unset.

Quickstart

from pandastack import Sandbox

with Sandbox.create(template="code-interpreter") as sb:
    result = sb.run_code("print(2 + 2)")
    print(result.stdout.strip())

Explicit client

from pandastack import Client

client = Client(api_key="psk_xxx", api_url="https://api.pandastack.ai")
sb = client.sandboxes.create(template="code-interpreter")
try:
    print(sb.exec("ls -la").stdout)
finally:
    sb.kill()

Filesystem

sb.filesystem.write("/home/panda/hello.txt", "hello")
print(sb.filesystem.read("/home/panda/hello.txt"))
sb.filesystem.upload("local.csv", "/home/panda/local.csv")
sb.filesystem.download("/home/panda/out.png", "out.png")

Commands and logs

result = sb.commands.run("python3 --version", timeout=10)
for line in sb.logs(stream="both", follow=False):
    print(line)

Lifecycle

sb.set_ttl(600)
sb.set_persistent(True)
print(sb.lifecycle())
sb.pause()
sb.resume()
snapshot_id = sb.snapshot()

Templates

from pandastack import templates

print(templates.list())
build = templates.build("my-template", rootfs_tar="rootfs.tar", size_mb=2048)
print(build.status)
templates.delete("my-template")

Tokens

from pandastack import tokens

new_token = tokens.create("ci")
print(new_token.token)
for token in tokens.list():
    print(token.prefix, token.name)
tokens.revoke(new_token.prefix)

The old pandastack import remains as a deprecated compatibility alias. Use pandastack for new code.