JevCodeJev-like models
6 entries in this category. Each names the specific decision and links to openable evidence.
ollaya
Implements a Jev-shaped decision service in Rust so a backend can get typed answers without depending on the hosted model.
Evidencehttps://github.com/ollaya-dev/ollaya/blob/main/crates/ollaya-server/src/http.rs
Labelspublic-sourcecall-site-verified
JevAny
Reproduces the Jev decision interface at the model layer for environments that cannot reach the hosted service directly.
Evidencehttps://github.com/weitianxin/JevAny/blob/main/jevany/model.py
Labelspublic-sourcecall-site-verified
eikos
Pulls the decision step out of the generation chain and lets a typed model return the conclusion on its own.
Evidencehttps://github.com/caiovicentino/eikos/blob/main/eikos/serve.py#L343
Labelspublic-sourcecall-site-verified
abhishek085/open-spark-jev
README states: An open-source, local implementation inspired by TypeSafe's Jev and System One models, built for NVIDIA DGX Spark. The model is called spark-s1 .
Labelscall-site-verified
alvarobartt/sys1
README states: Blazing fast structured decisions for System One open-models self-hosted with a TypeSafe AI compatible API, written in Rust.
Evidencehttps://github.com/alvarobartt/sys1/blob/main/benchmark.py#L791
Labelscall-site-verified
DECRUX9812/openjev
README states: An open, local, zero-cost reimplementation of the Jev decision layer for job postings.
Evidencehttps://github.com/DECRUX9812/openjev/blob/main/README.md#L3
Labelsreadme-claim
Keep going on this site
Try, docs, cases, and pricing link to each other. The next page is on this site.
- Site directoryThe full list of the pages above.
- EcosystemCommunity projects by category.
- Jev coverageEach entry names the decision and its evidence.
- Daily casesThe next batch of coverage cases, each day.
- CommunityPublic posts, each with its source.
- BuildsNotes on model and site updates.
- PrimitivesChoice, Noul, and Score together.
- PatternsRouting, fan-out, and composite scoring.
- SDKsHTTP, Python, and JavaScript.
Use clavue-jev
- Try a judgmentSend a state and read the answer.
- Live scenesTetris, six rapid judgments, and a sort. Copy the call and run it again.
- Judgment LabSupport triage, release review, compliance routing — edit and run on the spot.
- Compareclavue-jev and jev-1.13.0 answer the same question.
- DemosJudgment examples you can edit.
- PricingInput is $0.042 per million tokens. Output is free.
- APICall POST /v1/judge with a key.
Docs
- IntroductionWhat this model is for.
- Quick startThe smallest call that runs.
- System OneWritten here: a state plus one typed question. The model is clavue-jev.
- StateThe text you send in.
- ConfidenceHow sure the answer is, and when to act on it.
- ChoicePick one mutually exclusive option.
- NoulA yes/no question, returned as the probability of yes.
- ScoreRate along a scale.
- Intent routingOne Choice call dispatches the request.
- Confidence routingAct when confidence is high. Hand off when it is low.
- Fan-outAsk several questions of one state.
- Composite scoringFold several scores into one ranking.
- HTTP APIThe request shape without an SDK.
- Python SDKCall a judgment from Python.
- JavaScript SDKCall a judgment from JavaScript.
Cases
- Use-case mapWhich primitive people use for which job.
- GuardrailsA yes/no check before an action runs.
- Function callingPick which function to call.
- Classify with confidenceDo not act when the class is unsure.
- Semantic findFind the passages that match.
- Parallel questionsAsk the whole set in one call.
- Hierarchical classificationCoarse class first, then the fine one.
- Citation checkWhether a sentence is supported by the source.
- Entity alignmentWhether two names are the same thing.
- Skill suggestionChoose which skill fits the moment.