Been working on an SDK that helps developers calculate their LLM output accuracy to detect inconsistencies in AI-generated content.

This SDK is designed to evaluate and score outputs based on reliability, accuracy, and consistency, making it a useful tool for anyone looking to build more trustworthy AI applications.

I’m looking for feedback and suggestions from the community. Whether you’ve worked with similar tools or have ideas for additional features, I’d love to hear your thoughts!

Some areas I’d appreciate input on:
How do you usually handle LLM production consistency outputs?

Thanks in advance!

If anyone is interested, let me know, and I will send over the docs!