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Ruby client for the typesafe AI Jev model
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CommunityJev Repos & SDKs
Jev — virolea
Ruby gem that groups noul, choice, and score questions into one parallel Jev query, exposing a typed result plus raw probabilities.
- Stars
- 5
- Language
- Ruby
- License
- MIT
- Published by
- Community
- Author
- virolea
- Last verified
- Oct 2026
This is one of several Jev listings for the same project. The canonical entry is Jev — mayank953.
About this project
A Ruby client for the Typesafe Jev model API. Install the gem and add to the application's Gemfile by executing: If bundler is not being used to manage dependencies, install the gem by executing: Set your API key once, typically in an initializer: Every question in a single query is evaluated in parallel against the same state, so adding questions costs far less than making another call. Prefer several narrow questions over one broad one. Evaluates the truth of a statement, returning a probability between 0 and 1.
Quoted from the project's README. Read the full README.
Works forJev for Classification
Used inJev for Software & DevTools
- Languages
- Ruby
Highlights
- Runs all questions in one query against the same state, favoring narrow questions over broad ones.
- Scopes noul statements with optional criteria and per-question thresholds defaulting to 0.5.
- Separates score level and label for decisions from weighted result for ranking, with ties going lower.
- Surfaces resolved model version and token usage, with typed errors and no automatic retries.
Watch out
Reading result on an unanswered question raises Jev::Error, and result stays truthy for choice or score answers so it only narrows noul sets. 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.
Every question in one query is evaluated in parallel against the same state, so adding questions costs far less than another call. The guidance is to prefer several narrow questions with optional criteria over one broad question.
Prefer level or label for decisions because they report the most probable level the model asserted. Use the probability-weighted result only for ranking or averaging, and check confidence first because uneven spacing and split distributions can mislead a direct cutoff.
It raises RateLimitError or OverloadedError and leaves retry policy to you, following the guidance for backoff on those statuses. Catch those exceptions and retry on your own terms.
Requests go out as jev-latest while response.model reports the resolved version that actually answered. Usage also exposes input and output token counts for that call.
Run bundle add jev, or gem install jev when Bundler is not managing dependencies. Set Jev.api_key once, typically in an initializer, then build a query with Jev::Query.new(state) and ask, choose or score questions inside its perform block.
ask is a noul, a probability between 0 and 1 with optional criteria, choose is a choice of up to 255 options, and score rates the state against an ordered rubric of 2 to 10 levels. Every question in one query is evaluated in parallel against the same state.
Pass threshold: on the ask call. It defaults to 0.5 and belongs to the question, since the confidence you need is part of what you are asking, and the raw probability stays available via noul if you would rather route on it yourself.
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