LLM wrapper
AssessTechniques
A helper layer that standardizes calls to large language models behind a simple API.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by open-source activity, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 4Hacker News·9/26/2026open_sourceSingle-function wrapper for LLMs and vision models
The post describes a lightweight, Jev-like wrapper that presents large language models through a single function interface. It extends the same approach to vision-capable models, aiming to simplify how developers call and swap models in code.