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

1. Create a virtual environment and install dependencies:

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

1. 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