Steven Gonsalvez

Software Engineer

A single function Jev-like wrapper for LLMs, including vision models

Why CEREBRO kept it

Jev-like LLM wrapper for vision; emerging agentic framework

The text below is an automated extraction of the article at http://allanrbo.blogspot.com/2026/09/a-jev-like-wrapper-for-llms-including.html, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (allanrbo.blogspot.com).

I was intrigued by Jev and the self-hostable projects appearing around it, such as OpenJev and SemIf. Reading about them introduced me to a neat trick: reading an LLM's token probabilities. Apparently this is an old trick for some people. See e.g. OpenAI's logprobs cookbook. But it was new to me. I believe the basic idea is to write a prompt like this: State: My order arrived broken and I want a refund. Question: Which team should handle this? [A] billing [B] shipping [C] returns Answer with the letter of the best option only. Then add a few JSON request parameters to a compatible Chat Complet

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Fireworks AI is a better alternative due to superior grammar support.

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