
OpenAI Testing Agent Demo
https://github.com/openai/openai-testing-agent-demo- Category
- AI Agents
- Rank
- No. 1458Tools index
Previous survey · No. 1465 ·
- Listed in
- #4 Generate and improve tests
- Pricing
- Open Source
- Type
- TOOL
- Builder
- openai
- GitHub
- 768 stars
- Date
About
Demo of a UI testing agent built on OpenAI's Computer Use model and the Responses API. Drives a browser to test apps end-to-end.
What it does
A runnable monorepo for exploring model-guided frontend checks. A configuration screen accepts a target URL and test case, while a Node service coordinates the model and Playwright. A bundled storefront supplies a safe example, and the interface shows task progress alongside the agent interaction.
Why it's ranked here
Worth a short technical trial because it exposes the complete interaction loop, not merely an isolated API snippet. The included interface, service, and sample storefront make the concept tangible. Its preview status, explicit security warnings, and configuration inconsistency keep it firmly in demonstration territory.
What's good
The project separates the reusable agent service from the configuration interface and disposable example application. Users can change both the target URL and test case through the interface. Playwright supplies a real browser, while the visible progress and side panel help people understand what the agent is doing.
Tradeoffs
Computer use remains a preview feature and may make mistakes or encounter exploits. The authors restrict intended use to test environments, warn against authenticated or high-stakes work, and prohibit real production data. Setup requires an OpenAI API key, three environment files, Node dependencies, and Playwright browser installation. The documented service port also conflicts with the server default.
How to use it well
Use it to prototype model-guided checks against disposable web environments and to study how a browser agent handles written test steps. Start with the bundled storefront, then point the configuration interface at a controlled application. Extract the service logic when integrating elsewhere. Do not treat it as coverage for authenticated production workflows, sensitive data, or high-stakes validation.
Technical notes+
The root package.json defines a private npm workspace containing frontend, cua-server, and sample-test-app, with concurrently launching all three development processes. frontend/app/page.tsx provides responsive configuration, task-step, and agent-panel regions, while frontend/lib/utils.ts parses a JSON test case and requires a steps array. cua-server/src/index.ts exposes Socket.IO events for messages, test initiation, and status updates, with configurable CORS. README.md documents ws://localhost:8080, but cua-server/src/index.ts defaults SOCKET_PORT to 8000, so local configuration may be required.
Observed
- License
- MIT
- Primary language
- TypeScript
- Packaging
- Private npm monorepo with three workspaces
- Install surface
- npm dependencies plus a separate Playwright browser installation
- Interfaces
- Next.js web interface and Socket.IO service
- Browser automation
- Playwright
- Included example
- Sample e-commerce web application
- Intended environment
- Test environments only, without real production user data
Read from README.md, package.json, frontend/next.config.mjs, frontend/eslint.config.mjs, frontend/postcss.config.mjs, frontend/tailwind.config.ts, sample-test-app/next.config.ts, sample-test-app/eslint.config.mjs, sample-test-app/postcss.config.mjs, frontend/app/page.tsx, frontend/lib/utils.ts, frontend/lib/logger.ts, cua-server/src/index.ts, frontend/app/layout.tsx, frontend/lib/assistant.ts.
What it can do
Automate browser interactions for testing
Web application URL and test scenarios → Automated browser actions and interactions
Execute end-to-end application tests
Target application and test requirements → Test execution results and validation
Navigate web interfaces autonomously
Web page elements and navigation instructions → Completed navigation sequences
Generate test responses using OpenAI API
Test scenarios and application context → AI-generated test responses and data
Interact with UI elements automatically
Web page buttons, forms, and interactive components → Simulated user interactions and form submissions
Tags
Tech Stack
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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.