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.
Visualize how AI models understand your prompts and see if changes improve their responses with heatmaps and comparisons.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeEnd-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.
TeaLeaves has 42 stars on GitHub. It has been forked 4 times. TeaLeaves is written mainly in Python. It has been in active development since 2026. Its main topics are ai-safety, attention, attention-mechanism, data-visualization.
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.
TeaLeaves is an open-source project.
Yes. TeaLeaves is free and open source — you can use, modify and self-host it.
TeaLeaves is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/taylorsatula-tealeaves.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.