Aaryanverma/trustifai
TrustifAI: A Comprehensive Framework for AI Trustworthiness
This helps evaluate the reliability of AI-generated responses from Large Language Models (LLMs) and RAG systems. It takes your AI's answer, the original question, and any supporting documents, then provides a detailed 'Trust Score' and visual explanations. This is for AI product managers, content quality assurance specialists, or anyone who needs to ensure their AI's outputs are accurate, consistent, and well-supported.
Available on PyPI.
Use this if you need to systematically assess and demonstrate the trustworthiness of your AI's outputs beyond simple correctness, especially for critical applications.
Not ideal if you only need a basic 'yes/no' answer on whether your AI is factually correct, or if you're not using LLMs or RAG systems.
Stars
10
Forks
1
Language
Python
License
MIT
Category
Last pushed
Feb 08, 2026
Commits (30d)
0
Dependencies
10
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