Hi, thanks for putting this awesome AI toolkit together.
I would like to suggest adding WFGY as a developer-facing toolkit for debugging and stress-testing LLM applications:
Very short description:
- An open source framework that uses a 16 Problem Map of failure modes to debug RAG and LLM apps.
- Includes concrete checklists for vector stores, retrieval logic, prompt wiring, and long-horizon reasoning.
- Designed so that a developer can paste their failing prompt / code context and quickly see which problem type they are hitting, plus suggested fixes.
Why it might fit this list:
- It is not a general “AI toy”, it is specifically built for LLM reliability engineering.
- Pairs well with other tools in this repo that focus on training and deployment, by covering the “why is my LLM app broken in production” side.
- Fully open source, already used in the wild as a free “clinic” for RAG and LLM bugs.
If you feel it fits, I am happy to send a PR and place it in a section like “LLM tools for developers” or “Debugging and evaluation”.
Thanks for considering it.
Hi, thanks for putting this awesome AI toolkit together.
I would like to suggest adding WFGY as a developer-facing toolkit for debugging and stress-testing LLM applications:
Very short description:
Why it might fit this list:
If you feel it fits, I am happy to send a PR and place it in a section like “LLM tools for developers” or “Debugging and evaluation”.
Thanks for considering it.