TypeSafe AI Jev
TrialTools
A model from TypeSafe AI designed for structured outputs such as classification and scoring.
Why it's here
Placed in Trial: 3 article(s) of evidence from 2 source(s), led by framework updates, with 3 in the last 30 days. Confidence 42%.
Evidence (3)
- 5The New Stack·9/29/2026open_sourceFeatherless launches Simple Jev for zero-shot classification
Featherless has released Simple Jev, an open-source library that turns open-source AI models into fast zero-shot classification engines. The company says it reduces latency and compute by returning categorical or binary decisions directly, and its hosted endpoints add image-based decision support for select Gemma and Qwen models.
- 7The New Stack·9/29/2026product_launchOpenAI launches Decision API built on Luna
OpenAI announced a new Decisions API at DevDay, positioning it as a fast, low-cost model for returning predefined answers with confidence scores. The API is in limited preview and appears aimed at classification, routing, and agent action selection, though pricing and other details are not yet public.
- 3Simon Willison·9/22/2026framework_updatellm-typesafe 0.1a0 plugin adds TypeSafe AI Jev support
Simon Willison released llm-typesafe 0.1a0, a new plugin for the LLM CLI that adds support for TypeSafe AI's Jev model. The plugin enables structured outputs for tasks such as yes/no, choice, and scoring questions using prompt-defined criteria.