use-computer 0.0.46


pip install use-computer

  Latest version

Released: Sep 04, 2026


Meta
Author: use.computer
Requires Python: >=3.10

Classifiers

Development Status
  • 3 - Alpha

Intended Audience
  • Developers

Operating System
  • OS Independent

Programming Language
  • Python :: 3
  • Python :: 3.10
  • Python :: 3.11
  • Python :: 3.12
  • Python :: 3.13

Typing
  • Typed

use-computer Python SDK

use.computer gives you macOS sandboxes: VMs on dedicated Apple M4 Mac minis that you reserve for 24 hours or more, up to 2 VMs at a time per Mac.

pip install use-computer
export USE_COMPUTER_API_KEY=uc_live_...

Optional agent integrations are installed explicitly:

pip install "use-computer[agents]"        # computer-use agents and provider SDKs

Base installs only the SDK client and httpx. The agents extra installs the agent runtime plus model-provider dependencies (Anthropic, OpenAI, Gemini, LiteLLM).

Quickstart

Flow: sign up → $100 starter credit → reserve a Mac mini (dashboard, or client.reserve(hours=24) in the SDK) → create() a macOS sandbox → drive it (mouse, keyboard, screenshot, exec, files, recording, UI tree, VNC) → delete(). Reservations cost $1.91/hour per Mac; the starter credit pays for them.

from use_computer import Computer

client = Computer()

# 1. Reserve one Mac Mini for 24 hours
reservation = client.reserve(hours=24)

# 2. Launch a macOS sandbox on the reserved Mac
with client.create(reservation_id=reservation.id) as mac:
    # 3. Drive the macOS sandbox
    mac.exec("open -a Safari")
    mac.keyboard.type("hello from use.computer")
    mac.mouse.click(500, 500)
    png = mac.screenshot.take_full_screen()
    print("VNC URL:", mac.vnc_url)

Each reserved Mac Mini supports up to 2 parallel macOS VMs. Check Computer().platforms(reservation_id=...)["macos"]["capacity"] for the selected reservation's max and used counts.

Sandboxes default to ephemeral=True, deleting automatically after the idle timeout (roughly 2 minutes without activity). Use ephemeral=False when a sandbox should persist until manual deletion, or call sandbox.start_keepalive(interval=30) during long model-think periods.

Runtime Snapshots

macOS snapshots let you seed a VM once, snapshot it, then create new sandboxes from that snapshot version. macOS snapshots preserve disk state, so installed apps, accounts, and seeded files are available immediately:

from use_computer import Computer

client = Computer()

# Configure the macOS desktop by hand over VNC, then snapshot it.
with client.create(type="macos") as mac:
    print("Set up the macOS desktop here:", mac.vnc_url)
    input("Press Enter once the desktop is ready to snapshot...")
    snapshot = mac.snapshot("chrome-seeded-macos")

# New sandboxes boot from that saved disk state, no setup needed.
with client.create(type="macos", snapshot=snapshot.version) as seeded:
    print("Seeded sandbox ready:", seeded.vnc_url)

Use client.snapshots() to list saved snapshot versions.

Examples

File What it shows
examples/_1_hello_macos.py reserve → create → exec → keyboard → screenshot
examples/_2_recording.py start / stop / download a screen recording
examples/_3_file_transfer.py upload bytes, download a file back
examples/_4_keepalive.py heartbeat for ephemeral sessions idle > 2 min
examples/_5_snapshots.py snapshot seeded macOS state

HTTP API

Every SDK method wraps https://api.use.computer/v1/... with Authorization: Bearer uc_live_.... Swagger: api.use.computer/docs. OpenAPI spec: api.use.computer/openapi.yaml.

Wheel compatibility matrix

Platform Python 3
any

Files in release

Extras:
Dependencies:
httpx (>=0.27)