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AISquare-Studio-QA
by AISquare-Studio
LLM-driven QA agents that generate and run Playwright tests
Python
Updated Jul 20, 2026
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Overview
Provides a starter framework for building QA/testing agents that generate and run browser tests using Playwright and crewAI. Chains LLM-driven test generation with automated execution and reporting so agents can propose, validate, and iterate on test cases. Includes CI-friendly examples and glue code to turn LLM outputs into runnable Playwright scripts.
Key Benefits
As agents take on more autonomous roles, we need ways to validate their behavior end-to-end rather than trusting outputs blindly. This repo makes it practical to treat agents as test authors and executors, enabling continuous agent evaluation against real UI surface and regression tests. That capability helps surface agent failure modes and creates reproducible artifact-level evidence for an agent's track record.
Target Use Cases
Developers prototyping agent-led test generation and CI-driven QA for web UIs who want to validate agent outputs with executable tests.
Applications
- Generate Playwright end-to-end tests from LLM prompts to validate agent-produced UI flows
- Run continuous agent-driven QA in CI via GitHub Actions to detect regressions in agent behavior
- Prototype delegated testing agents that produce, execute, and refine tests against web apps
Works With
crewaiplaywrightopenaigithub-actions
Topics
aiautomationcrewaigithub-actionsmulti-agentopenaiplaywrightqatest-automationtest-generation+1 more
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Keywords
test-generationmulti-agent orchestrationagent-evaluationcrewai