Gemini Computer Use

Quick start

1. Source the env file and set your API key:

   cp env.example env.sh
   $EDITOR env.sh
   source env.sh
   

2. Create a virtual environment and install dependencies:

   python -m venv .venv
   source .venv/bin/activate
   pip install google-genai playwright
   playwright install chromium
   

3. Run the agent script with a prompt:

   python scripts/computer_use_agent.py \
     --prompt "Find the latest blog post title on example.com" \
     --start-url "https://example.com" \
     --turn-limit 6
   

Browser selection

• Default: Playwright's bundled Chromium (no env vars required).
• Choose a channel (Chrome/Edge) with

  COMPUTER_USE_BROWSER_CHANNEL

  .
• Use a custom Chromium-based executable (e.g., Brave) with

  COMPUTER_USE_BROWSER_EXECUTABLE

  .

If both are set,

COMPUTER_USE_BROWSER_EXECUTABLE

takes precedence.

Core workflow (agent loop)

1. Capture a screenshot and send the user goal + screenshot to the model.
2. Parse

   function_call

   actions in the response.
3. Execute each action in Playwright.
4. If a

   safety_decision

   is

   require_confirmation

   , prompt the user before executing.
5. Send

   function_response

   objects containing the latest URL + screenshot.
6. Repeat until the model returns only text (no actions) or you hit the turn limit.

Operational guidance

• Run in a sandboxed browser profile or container.
• Use

  --exclude

  to block risky actions you do not want the model to take.
• Keep the viewport at 1440x900 unless you have a reason to change it.

Resources

• Script:

  scripts/computer_use_agent.py

• Reference notes:

  references/google-computer-use.md

• Env template:

  env.example