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- Add `.editorconfig` for editor consistency. - Configure GitHub Actions workflow for linting (`.github/workflows/lint.yml`). - Add pre-commit hooks for automated checks (`.pre-commit-config.yaml`). - Configure Prettier and exclusions (`.prettierrc.yaml`, `.prettierignore`). - Update VS Code extensions to include formatting tools (`.vscode/extensions.json`). - Adjust VS Code settings for auto-formatting (`.vscode/settings.json`).
cua-cloud-openai Example
This example demonstrates how to control a Cua Cloud Sandbox using the OpenAI computer-use-preview model and the @trycua/computer TypeScript library.
Overview
- Connects to a Cua Cloud Sandbox via the
@trycua/computerlibrary - Sends screenshots and instructions to OpenAI's computer-use model
- Executes AI-generated actions (clicks, typing, etc.) inside the sandbox
- Designed for Linux sandboxes, but can be adapted for other OS types
Getting Started
-
Install dependencies:
npm install -
Set up environment variables: Create a
.envfile with the following variables:OPENAI_API_KEY— your OpenAI API keyCUA_API_KEY— your Cua Cloud API keyCUA_CONTAINER_NAME— the name of your provisioned sandbox
-
Run the example:
npx tsx src/index.ts
Files
src/index.ts— Main example scriptsrc/helpers.ts— Helper for executing actions on the container
Further Reading
For a step-by-step tutorial and more detailed explanation, see the accompanying blog post:
➡️ Controlling a Cua Cloud Sandbox with JavaScript
(This link will be updated once the article is published.)
If you have questions or issues, please open an issue or contact the maintainers.