taylorsatula/TeaLeaves

End-to-end pipeline for seeing how LLMs actually process your prompts. Capture attention across every layer, render heatmaps and cooking curves, compare variants with evidence — not vibes.

20
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 6 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

20

Forks

—

Language

Python

License

—

Category

prompt-optimization-systems

Last pushed

Mar 08, 2026

Commits (30d)

0

GitHub
Prompt Optimization Systems · 53 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/taylorsatula/TeaLeaves"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

dottxt-ai/outlines

Structured Outputs

80

takashiishida/arxiv-to-prompt

Transform arXiv papers into a single LaTeX source that can be used as a prompt for asking LLMs...

65

microsoft/promptpex

Test Generation for Prompts

54

AI-secure/aug-pe

[ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text

43

Spr-Aachen/LLM-PromptMaster

A simple LLM-Powered chatbot software.

43

Explore Prompt Engineering Tools

All categories Trending Prompt Engineering directory Insights