AI Driven Open Source Test Automation Framework with AI Agents -(Browser-use-Codeless-Playwright)

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AI Summary

Summary of AI Power Test Automation Framework Using AI Agents

• Instructor: Rahul Shetty

Overview

• Goal: Design a test automation framework using AI agents to create codeless test scripts in plain English.
• AI agents: Software programs utilizing artificial intelligence to autonomously interact with environments, similar to Tesla’s self-driving technology.

Key Concepts

• AI Agent Functions:
  • Interact with web browsers using a library called browseruse.
  • Can execute tasks based on user instructions given in plain English.
• Framework Design:
  • Requires building wrappers around the AI agents to enhance stability and usability in real-world scenarios.
  • AI agent interactions alone are not sufficient for a complete test automation framework.

Technical aspects

• Asserts: Modify agents to perform and confirm assertions after executing tasks.
• Example tasks for automation include:
  • Logging into a website.
  • Adding items to a shopping cart.
  • Completing a checkout process.

Implementation Steps

1. Set Up Environment:
   • Install Python and Pycharm Community Version.
   • Set up the browseruse library and other necessary packages (e.g., for assertions).
2. Creating the Framework:
   • Develop the AI agent to handle tasks via browseruse.
   • Integrate custom logic with a fallback mechanism in case AI struggles with specific tasks.
   • Utilize Playwright for custom scripting when needed.
3. Executing and Validating Tests:
   • Run the automation script and validate outputs using assertions from the results.
   • Output provided in JSON format for easy verification.

Conclusion

• This lecture introduces the capabilities of combining AI with a structured testing framework to achieve effective test automation.
• Future lessons will cover advanced scenarios including handling multiple windows and integrating various AI models effectively.