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A Swift client for TypeSafe AI's Jev — typed judgements, not text
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CommunityJev Repos & SDKs
Swift Jev
Swift library and CLI for asking Jev typed Choice, Noul, and Score questions from Apple platforms, with answers returned alongside calibrated probabilities in one parallel request.
- Stars
- 16
- Language
- Swift
- License
- MIT
- Published by
- Community
- Author
- d-date
- Last verified
- Oct 2026
About this project
A Swift library and CLI for Jev, TypeSafe AI's System One model. Jev does not write text. You hand it a state and some typed questions, and it hands back typed answers with calibrated probabilities. Use the Swift library for type-safe reads in an app, or the CLI for JSON-based calls from a terminal or coding agent. All three questions travel in one request. Jev evaluates them in parallel, so asking more of them costs almost no extra latency.
Quoted from the project's README. Read the full README.
Works forJev for Classification
Used inJev for Software & DevTools
- Languages
- Swift
Highlights
- Three question types map to typed answers, with confidence helpers and a routing policy for auto, confirm, or escalate.
- Library has no dependencies and installs as a Swift package; CLI reads request JSON from a file or stdin.
- Key comes from TYPESAFE_API_KEY or a permission-restricted key file, never from request JSON or arguments.
- Bundled agent skill explains request and response shapes; Linux build is declared but not covered by CI.
Watch out
Linux is declared but not covered by CI, so treat it as untested, and question names identify answers so reused names collide. 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.
It adds Swift types over the same type, instructions, and criteria shapes: Choice answers decode to your enum cases with distributions, Noul has no confidence overload since probability is the signal, and the CLI validates questions before sending.
The README states all questions in one evaluate call travel in one request and are evaluated in parallel, so extra questions cost almost no added latency, and usage reports estimated cost per response.
Confidence only means something when the answer decoded cleanly, and Noul uses an undecided band instead of a single cutoff so near-tie probabilities stay undecided rather than flipping the answer.
Set TYPESAFE_API_KEY in the process environment or pass a key file kept outside the repo with restricted permissions; the file takes precedence and the key never goes in request JSON or command arguments.
Swift 6.2, added with .package(url: "https://github.com/d-date/swift-jev", from: "1.0.0") and the Jev product. macOS 13+, iOS 16+, tvOS 16+, watchOS 9+ and visionOS 1+ are supported; Linux is declared and the code is written for it but is not yet covered by CI, so treat it as untested. There are no dependencies and a clean build takes about 20 seconds.
swift build -c release, then install .build/release/jev into a directory on your PATH. From a checkout, swift run jev --input request.json works, and omitting --input reads standard input; only the JSON response goes to stdout and errors to stderr. It exits 2 for input or configuration errors and 1 for API or network errors, with --model defaulting to jev-latest.
A probability-weighted position on the rubric, so a three-level scale can return 1.3 meaning mostly level 1 leaning towards 2. ScoreValue exposes value for that weighted number, rounded for a discrete level, and normalized to map onto 0 to 1. That is also why the type is a plain value built at runtime rather than a macro.
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