Jev Integration

The Hacker News thread for vsekhar/decide, a brew-installable CLI that pipes scripts and agent skills through TypeSafe Jev.

The Hacker News thread for frodi-karlsson/onesie, covering stdin questions, shell-safety gates, and calibration over labelled commands.

Vercel's changelog for typesafe-ai/jev on AI Gateway, with AI SDK 7 experimental_evaluate and a support-ticket routing example.

A hands-on Python guide that installs typesafe-sdk, walks through Choice, Noul, and Score, and sketches a chargeback-tool integration and benchmark plan.

The reference site for the community Spring AI integration: a Java client plus judges, guardrails, RAG filters, and tool search built on Jev.

A DSPy fork whose @typesafeify decorator routes decision-shaped signature fields to Jev, so bool, Literal, and scored outputs come back typed while freeform fields still use the LM.

Cloudflare Workers AI's model page for typesafe/jev: run the structured evaluation model through an env.AI.run binding or the REST /ai/run endpoint, with typed Noul, Choice, and Score questions and worked examples.

@ai-sdk/typesafe-ai adds an evaluation model to the Vercel AI SDK: one experimental_evaluate call sends a state with choice, score, and boolean questions and returns typed answers, probabilities, confidence, and usage.

TypeSafe's announcement that Jev is available on the Vercel AI Gateway, linking the model page with the Jev API, pricing, and playground.

LangChain's langchain-typesafe integration exposes Jev as a TypeSafeClassifier plus experimental model-routing and auto-mode middleware that screens risky tool calls before execution.

OpenRouter's beta announcement for Jev: state plus typed questions returns typed decisions with probabilities, so there is no JSON prompting, parsing layer, or output validation.

Cloudflare's developer account announced that Jev is available on AI Gateway, callable from Workers with typed Noul, Choice, and Score questions returning structured answers.

Use Jev as a Braintrust judge scorer, then inspect selected answers, confidence, and probabilities alongside the scorer answer. Includes tracing for your own calls.

Run a Pydantic AI agent on Jev: each field of the output type becomes one question, the prompt is the state, and confidence comes back per field.

AI Gateway's evaluation modality: call Jev as `typesafe-ai/jev` through the AI SDK's experimental_evaluate API, with structured answers instead of free-form text.