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jevper
Python wrapper that puts the Jev interface, and OpenAI's newer Decisions API schema, on top of any OpenAI-compatible or Anthropic model, reading answers from logprobs, grammar or structured output.
PyPI jevper 0.7.12 and GitHub release v0.7.12 on 2026-10-07; first release 2026-09-23. (checked 2026-10-25)
In The Jev ecosystem
Where it stands apart
- Where do the decisions run by default? no default: you choose a local or hosted backend (14% of 21 others)
- Can you use it without a TypeSafe account? yes, through a gateway or another provider (24% of 21 others)
- Are its answers typed values rather than generated text? (identity question) typed answers, but generated text is part of the pipeline (14% of 21 others)
What it shares with most of the community
- Is it actively maintained? active (62% of 21 others)
- How is the main thing licensed? permissive open source (MIT/Apache/BSD) (86% of 21 others)
- How is it mainly sustained? individual side project, no revenue (55% of 20 others)
- Can it run entirely on your own device or infrastructure, without the maker's servers? yes (52% of 21 others)
- Do you need an account to use it? no account (86% of 21 others)
- Who is it for? developers (95% of 21 others)
- Which shared standard or format does it mainly build on? TypeSafe's System One API (state + typed questions, /v1/systemone) (81% of 21 others)
- Which models answer its questions? Pick the first that applies. other models, not Jev (open, local, or LLMs) (52% of 21 others)
- Which question types does it handle? Jev's three: noul, choice, score (67% of 21 others)
- Does it train on Jev's outputs? (TypeSafe's customer agreement forbids using output to distill or build competing models.) it doesn't train models (68% of 19 others)
Nearest neighbors
- jevals (Openlayer) 75% of 16 shared answers match
- System One Adapter (official) 75% of 16 shared answers match
- decide 69% of 16 shared answers match
Every answer
| Question | Answer | Source |
|---|---|---|
| Is it actively maintained? | active Borderline: 18 days since the last release. | source 2026-10-25 |
| How is the main thing licensed? | permissive open source (MIT/Apache/BSD) Apache-2.0 | source 2026-10-25 |
| How is it mainly sustained? | individual side project, no revenue Personal repo, Apache-2.0, no paid tier. | source 2026-10-26 |
| Can it run entirely on your own device or infrastructure, without the maker's servers? | yes With a local OpenAI-compatible server (llama.cpp, LM Studio, Ollama, vLLM). | source 2026-10-25 |
| Do you need an account to use it? | no account Python wrapper over your own provider key or local server; no maker account. | source 2026-10-26 |
| Who is it for? | developers | source 2026-10-25 |
| Which shared standard or format does it mainly build on? | TypeSafe's System One API (state + typed questions, /v1/systemone) System One first; also OpenAI's /v1/decisions schema. | source 2026-10-26 |
| Which models answer its questions? Pick the first that applies. | other models, not Jev (open, local, or LLMs) | source 2026-10-25 |
| What is the main thing it ships? | a library, CLI, or SDK for calling models | source 2026-10-25 |
| Which question types does it handle? | Jev's three: noul, choice, score Maps OpenAI's predicate to noul. | source 2026-10-25 |
| Does it check whether its probabilities can be trusted? Pick the first that applies. | no, it passes probabilities through without measuring them Uses logprobs where available, otherwise JSON-reported probabilities. | source 2026-10-25 |
| Where do the decisions run by default? | stands apart no default: you choose a local or hosted backend | source 2026-10-25 |
| Does it train on Jev's outputs? (TypeSafe's customer agreement forbids using output to distill or build competing models.) | it doesn't train models | source 2026-10-25 |
| Can you use it without a TypeSafe account? | stands apart yes, through a gateway or another provider | source 2026-10-25 |
| Are its answers typed values rather than generated text? (identity question) | stands apart typed answers, but generated text is part of the pipeline Underlying chat models answer via logprobs or structured JSON. | source 2026-10-25 |
| Does it publish head-to-head numbers against Jev? | no published benchmark numbers | source 2026-10-25 |
Sources
This page was derived from:
- GitHub · github.com/zhulinchng/jevper · read 2026-10-25
- Package registry · pypi.org/project/jevper/ · read 2026-10-25
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