Unlock the Future of AI Testing with Flakestorm
Hi LinkedIn community! 🚀
I’m excited to share Flakestorm, an open-source tool designed to ensure the reliability of AI agents before they hit production. Traditional testing often misses crucial failure modes, leading to unpredictable behavior. Flakestorm aims to change that through innovative chaos-engineering principles.
Key Features:
- Local-first: Utilizes Ollama for effective mutation generation.
- Versatile Compatibility: Works with Qwen, Gemma, and various small models.
- No Cloud Dependencies: Operates without API keys, simplifying the process.
- Comprehensive Reports: Provides a robustness score with a detailed HTML report outlining failures.
This project started from my own need to debug unpredictable agent behavior, and now I’m eager to understand its broader impact.
🔍 I need your feedback!
- How do you test your agents?
- What failure modes should be addressed?
- Is “chaos testing for agents” a relevant concept?
Join the discussion and visit the repository: Flakestorm GitHub. Let’s innovate together! 💡
