hichipli/vetting-python
A Python implementation of the VETTING (Verification and Evaluation Tool for Targeting Invalid Narrative Generation) framework for LLM safety and educational applications.
This project helps educators and instructional designers create safe and effective learning environments using large language models. It takes student questions or prompts as input and, guided by your specified curriculum or 'answer key,' produces responses that either provide appropriate guidance or identify when a student is trying to bypass learning. This is ideal for teachers, tutors, and developers building educational AI tools.
Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you need an LLM to act as a structured tutor or a safe educational assistant, ensuring it guides students without directly giving away answers or allowing 'prompt injection' attacks.
Not ideal if you need an unrestricted chatbot for general conversation or creative content generation without any policy enforcement or educational constraints.
Stars
10
Forks
4
Language
Python
License
MIT
Category
Last pushed
Aug 08, 2025
Commits (30d)
0
Dependencies
4
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/hichipli/vetting-python"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Featured in
Higher-rated alternatives
openvinotoolkit/model_server
A scalable inference server for models optimized with OpenVINO™
madroidmaq/mlx-omni-server
MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically...
NVIDIA-NeMo/Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based...
generative-computing/mellea
Mellea is a library for writing generative programs.
rhesis-ai/rhesis
Open-source platform & SDK for testing LLM and agentic apps. Define expected behavior, generate...