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typesafe-ai-benchmark
This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
38 ★ on GitHub
What it is
LLM-native structured output vs. TypeSafe Jev: latency, cost, and judgment quality.
The homepage listed on the repository, hackersintheloop.org, puts it like this: People to learn with, work to share, and room to grow. Get to know the Hackers in the Loop community and its Lab.
Where the decision sits
typesafe-ai-benchmark runs its own weights or its own runtime rather than calling a hosted API, so its decisions do not depend on a vendor being up or on a key being funded. The trade is that the model is now yours to keep current.
How active it is
Created 2026-09-16, last pushed 2026-10-18, 38 stars and 5 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.
Find out what your data actually supports
We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.