What qualifies for the SDKs & clients category?
Entries include language clients, typed wrappers, API helpers, generated bindings, and reusable packages that make Jev easier to integrate into production software.
Explore an awesome collection of 61 verified open-source SDKs & clients Jev projects on bestjev. Compare GitHub stars, languages, repositories, and implementations.
Scala client module for TypeSafe System One that submits Jev Noul, Choice, and Score questions and returns typed answers.
A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.
Ruby client for decision models such as Typesafe Jev
A Java SDK for the TypeSafe AI JEV API, & Spring AI TypeSafe integrations.
Permutation Invariant Jev.
Pi extension with a batched Jev evaluation tool, terminal playground, and typed API for other extensions.
SwiftPM client for the TypeSafe System One API with typed Noul, Choice, and Score questions.
TypeSafe Jev for OTP: reply to Jev from a GenServer and pattern match on its answer.
PHP 8.2+ client for Jev with typed Choice, Score, and Noul request builders, result classes, retries, and base-URL overrides.
Go SDK and CLI for TypeSafe Jev typed yes/no, Choice, and Score decisions.
Go Unix CLI for typed Jev decisions through TypeSafe, Cloudflare, or Vercel, with structured response validation and JSON or text output.
Swift client for TypeSafe Jev typed judgments instead of generated text.
Typed TypeSafe AI clients for Rust, with async and blocking backends and observable retries.
PowerShell module that submits typed Noul, Choice, and Score questions to Jev and returns pipeline-friendly structured answers.
Go SDK for the TypeSafe AI API — typed questions in, probability distributions out.
Zod validates the shape, Jev validates the meaning: semantic checks on request bodies become calibrated probabilities you threshold in code.
Agent-first Haskell DSL for TypeSafe's Jev judgment model: typed packets, inferred types, answers under the same labels.
Scala SDK for Jev. No effect system bundled.
A small, extensible decision-to-action harness for TypeSafe Jev.
Community .NET SDK for the TypeSafe AI System One API — typed noul, choice, and score questions with structured, confidence-scored answers. Not affiliated with TypeSafe AI.
Dependency-free Swift 6 client for Jev Choice, Score, and Noul questions, with strict concurrency, retries, and offline transport tests.
Ruby client for typesafe.ai.
Go client for TypeSafe's System One API and its model Jev: typed judgments and calibrated probabilities instead of generated text.
Independent async and blocking Rust SDK for the TypeSafe AI System One API.
Swift SDK for TypeSafe AI.
Scala 3 / ZIO client for the System One API: typed end-to-end, several questions per round-trip via NamedTuple.
Community Go client for the TypeSafe System One API with typed question builders, retries, examples, and jev-latest as the default model.
Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers.
An idiomatic, type-safe Elixir port of the official TypeScript AI SDK (ai / ai-sdk) providing unified LLM integrations, streaming text and structured outputs, tool calling, and agentic workflows. Jev is their current flagship model and is the first System One model.
Idiomatic Java SDK for TypeSafe AI Jev System One decision engine.
Rust SDK for the TypeSafe AI API.
Unofficial go SDK for typesafe AI, with typed answers, retries, and context support.
Go client for TypeSafe AI's System One API (Jev), with optional Langfuse instrumentation.
.NET SDK for the TypeSafe AI platform.
.NET 10 client for hosted Jev and compatible local servers, with typed Choice, Score, and Noul answers plus Microsoft AI integrations.
Community Java client for the TypeSafe System One API (unofficial).
Async Python client for TypeSafe Jev. Typed questions in, probabilities and choices out, no prose to parse.
Unofficial Go client for TypeSafe's System One API and its model, Jev.
PHP & Laravel SDK for TypeSafe AI's JEV Model series.
Unofficial PHP client for TypeSafe System One with typed Choice, Score, and Noul requests and synchronous or concurrent transport.
Go SDK for TypeSafe AI API https://docs.typesafe.ai/api.
Python client for typed Choice, Score, and Noul decisions across Jev, OpenRouter, OpenAI Decisions, and local models, with confidence-based fallback and a System One-compatible server.
Unofficial Go SDK for TypeSafe AI's Jev API.
Provider-independent .NET decision library whose Jev provider maps typed Choice, Score, and Noul questions to the System One API.
Unofficial typed async Rust client for the TypeSafe System One API.
Type-safe Java 21 client for the TypeSafe AI Jev (System One) decision API
Typesafe AI SDK in Elixir using Req.
Probabilistic decisions for Python. Use Jev or bring your own provider; crawl with Playwright.
Idiomatic Go SDK for the TypeSafe AI API.
Typed System One layer for Rust (Choice/Score/Noul).
Latency-first Rust SDK for TypeSafe System One.
A supervised Mint client for the TypeSafe AI System One API.
Rust client for the TypeSafe System One API (Jev).
JSON-in, typed-decisions-out CLI for the TypeSafe System One API.
An idiomatic Elixir client for the TypeSafe AI API.
An idiomatic Zig client for the TypeSafe AI API.
Unofficial Go SDK for TypeSafe AI's System One API (Jev).
An integration with jev by typesafe.ai in Rust.
Unofficial Elixir SDK for the TypeSafe AI API.
Unofficial Go SDK for the TypeSafe AI System One API — 1:1 parity with the official JS and Python SDKs. Not affiliated with TypeSafe AI.
Unofficial PHP SDK for the TypeSafe AI System One API — 1:1 parity with the official JS and Python SDKs. Not affiliated with TypeSafe AI.
Jev SDKs and clients help applications call Jev from different languages, runtimes, and deployment environments.
Entries include language clients, typed wrappers, API helpers, generated bindings, and reusable packages that make Jev easier to integrate into production software.
Entries include language clients, typed wrappers, API helpers, generated bindings, and reusable packages that make Jev easier to integrate into production software.
Start with the documented use case, repository activity, primary language, license, and visible Jev implementation. GitHub stars are a dated discovery signal, not a quality score.
bestjev checks public repositories, project-authored documentation, code, demos, and other visible evidence. Always confirm current behavior and compatibility in the upstream project.
bestjev grounds this category in named primary sources: Official Jev documentation · Public GitHub repositories.
“Typed outputs that software can act on.”— TypeSafe AI