Gemini Computer Use

Quick start

-

Source the env file and set your API key:

cp env.example env.sh

$EDITOR env.sh

source env.sh

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Create a virtual environment and install dependencies:

python -m venv .venv

source .venv/bin/activate

pip install google-genai playwright

playwright install chromium

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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)

• Capture a screenshot and send the user goal + screenshot to the model.

• Parse function_call actions in the response.

• Execute each action in Playwright.

• If a safety_decision is require_confirmation, prompt the user before executing.

• Send function_response objects containing the latest URL + screenshot.

• 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