Is OpenJev an official Jev model I can swap into production?

No. It is unaffiliated with TypeSafe AI and includes no Jev weights, training data, methods, service, or private benchmarks. It models the contract so you can prototype routing, scoring, and guardrail flows.

Which model name works, and where does the server run?

Only openjev-mock, selected by omitting the model field. The server binds to loopback with no authentication or production serving, so treat it as a development harness.

How am I supposed to structure calls and handle answers?

State goes in with one or many narrow typed questions and structured answers come out with probabilities and confidence. Batch independent questions on the same state and branch in ordinary code.

What exists today versus what is still roadmap?

Schemas with runtime validation, deterministic mock backend, both SDKs, examples, and contract tests exist now. Adapters for open models, calibration metrics, and example apps are roadmap items.

What is the project's license status?

None has been selected yet. The README says plainly that a license should be added before accepting external contributions or publishing packages, so as things stand there is no grant of rights for reuse, even though the code and both SDKs are public.

What does a response look like?

One answer object per question, keyed by name. A choice returns the pick, a probabilities map and a confidence; a score returns the numeric position, a legend and probabilities; a noul returns a single probability between zero and one. The README marks the example numbers as illustrative rather than actual mock fixture output.

What is OpenJev explicitly not for?

Open-ended chat, writing prose, code generation, long multi-step reasoning in a single prompt, and any use where the output space is not known in advance. The project frames itself as decision plumbing for routing, classification, scoring, guardrail checks, ranking and turning requests into typed function calls.

CommunityJev Demos & Experiments

OpenJev — xingwudao

Independent Jev-inspired decision API with choice, score, and noul primitives, shipping a local mock server plus Python and JavaScript SDKs for interface prototyping.

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Open github.com

Stars: 5
Language: Python
Published by: Community
Author: xingwudao
Last verified: Oct 2026

xingwudao/OpenJev

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OpenJev: an independent Jev-inspired System One decision API based on TypeSafe.ai concepts. Choice, score and noul primitives, local mock server, Python and TypeScript SDKs. Real inference planned; not affiliated with TypeSafe AI.

Forks: 0
Last pushed: Updated Sep 2026

Repo stats from the GitHub API, cached Oct 2026.

This is one of several Jev listings for the same project. The canonical entry is OpenJev — razorback16.

About this project

OpenJev is an independent project inspired by Jev, the System One model from TypeSafe.ai (TypeSafe AI). It implements a Jev-inspired decision API with choice, score, and noul primitives: state goes in, typed probabilistic decisions come out. Explore a local HTTP API, Python SDK, and JavaScript / TypeScript SDK for prototyping ticket routing, classification, scoring, and AI guardrail workflows.

Quoted from the project's README. Read the full README.

Tagscommunity jevbest catalog-import awesomejev

Works forJev for Classification Jev for Ranking

Used inJev for Software & DevTools

Languages: Python

Highlights

Implements choice, score, and noul typed decisions with probabilities and confidence fields.
Runs a local mock HTTP service with Python and JavaScript clients plus schema validation.
Documents protocol limits, error shapes, and probability semantics for prototyping flows.
States plainly that outputs are synthetic and unsuitable as production model quality.

Watch out

Mock probabilities are synthetic and measure nothing about truth, risk, or quality; no trained model, hosted API, or benchmark results ship yet. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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