Jev open source projects, MCP servers and integrations

TypeSafe Python SDK

The official Python client, with sync and async clients and built-in retries.

Jev

Calls api.typesafe.ai with your TypeSafe key.

TypeSafe JavaScript SDK

The official TypeScript/JavaScript client for Node.js 20+. Answer types are inferred from your questions.

Jev

Calls api.typesafe.ai with your TypeSafe key.

TypeSafe agent skill

A skill that teaches Claude Code, Codex and other coding agents how to write good Jev questions.

Jev

Documentation only. Your agent writes code that calls Jev.

System One adapter (Python)

A drop-in replacement for the Python client that answers with an ordinary LLM API instead of Jev.

Jev

None. Useful for comparing Jev with an LLM through the same interface.

System One Connector (typesafe-mcp)

A single Go binary. One command registers it with Claude Code, Claude Desktop, Codex and Hermes.

Jev

TypeSafe or OpenRouter key; can also point at a self-hosted Laya or CLM server.

JevMCP

A Python server that reads files by glob pattern and asks Jev about each one, so your agent doesn't load every file into its context.

Jev

TypeSafe or OpenRouter key.

Note: Early release (0.1.0); the tool shape may change.

jev-mcp (codaaiteam)

Runs with npx. Five tools: classify, score, check, gate a risky action, and a general decide tool.

Jev

Official TypeSafe key goes to api.typesafe.ai.

Note: Keys starting jv_live_ are sent to a third-party paid gateway, not to TypeSafe.

openjev-mcp

A Node.js server with one general tool and three single-question shortcuts.

Jev

Calls the third-party OpenJEV API (api.openjev.sh), not TypeSafe directly.

Note: Your data passes through a third-party service.

Vercel AI Gateway

Model id typesafe-ai/jev, called with the AI SDK's experimental_evaluate. No markup on the token price.

Jev

Proxies to TypeSafe. Per-request zero data retention option.

OpenRouter Decisions API

POST /api/alpha/decisions with model typesafe/jev-1.13. Each response reports its cost.

Jev

Proxies to TypeSafe, billed to your OpenRouter account.

Note: The endpoint is still on an alpha path and may move.

Cloudflare Workers AI

env.AI.run('typesafe/jev', { state, questions }) from a Worker.

Jev

Proxies to TypeSafe.

LiteLLM pass-through

Forwards /typesafe/* on your LiteLLM proxy, with cost tracking and logging.

Jev

Uses your TypeSafe key from the proxy environment.

Spring AI

Structured judgments from Java and Spring Boot applications.

Jev

Calls TypeSafe's API.

Laya

A 421M-parameter encoder (plus a 322M multilingual one) answering choice, score and yes/no questions. pip install laya.

Jev

None. Its server speaks the same /v1/systemone format, so Jev clients can point at it.

Note: Reads 512–1,024 tokens per question by default, much less than Jev's 32k.

Open-Jev

LoRA adapters and a decision head on top of Qwen models (2B, 9B, 27B).

Jev

None. An independent re-implementation of the idea.

Note: Base weights are downloaded separately; it does not reproduce TypeSafe's training method.

CLM-v0.1-8B

An 8B open System One model whose server implements the same /v1/systemone endpoint.

Jev

None. Works with Jev MCP servers that accept a custom base URL.

Mobile UI automation

An Android automation prototype that selects from visible UI actions.

Jev

Selects a UI action.

Note: Requires a device or cloud phone; reaching checkout does not mean an order was completed.

Layered code review

Groups code changes by the type and severity of review they may need.

Jev

Assesses risk, candidate issues, and severity.

Note: Not proof of an automated audit; it does not execute user code.

Semantic Postgres filtering

Uses Jev to decide whether database records match a text condition before filtering or sorting them.

Jev

Decides whether a record matches a text condition.

Note: The example conditions are not standard SQL; data may be sent to an external service.

Music theory choices

Chooses from defined notes, chords, or other music-theory options for playback.

Jev

Evaluates or selects music-theory candidates.

Note: Jev is not an audio generation model; timbre comes from code or supplied assets.

Jevthoven composition

Chooses instrument, chord, and rhythm options that application code turns into MIDI events.

Jev

Selects instrument, chord, or rhythm candidates.

Note: This combines bounded musical building blocks; it is not open-ended composition.

Snake decisions

A small game demo where code executes Jev-selected moves.

Jev

Selects a legal movement direction.

Note: A legal move is not necessarily optimal; prerecorded replays should not be presented as live.

Stealth guard NPC

Chooses a game guard's next action from the state and available actions supplied by the game.

Jev

Assesses suspicion, targets, and actions.

Note: The decision input is structured state, not an unrestricted understanding of the game screen.

Jev plays chess

A documented chess experiment comparing typed move selection.

Jev

Selects the next move from legal candidates.

Note: The author's experiment is not this site's chess benchmark and should not be extrapolated into a ranking.

Automatic slide advance

An author demo that decides when a presentation should move forward.

Jev

Evaluates semantic progress through the presentation.

Note: Speech recognition comes from another system; the initial site adaptation uses text only.

Semantic Unix pipes

Filters or scores records in a command-line workflow using Jev's answers.

Jev

Filters, classifies, or scores supplied records.

Note: This site does not execute arbitrary shell commands.

Knowledge graph navigation

Chooses which connected item to follow next in a knowledge graph.

Jev

Selects the next relationship to follow.

Note: This is not a verified global shortest-path solver.

Agent completion checks

A public project that evaluates whether an agent has evidence of completion.

Jev

Provides a semantic signal about a completion claim.

Note: Jev cannot replace actually running the tests.

JevBird trajectories

Chooses a movement path from options defined by the game code.

Jev

Selects from candidate movement strategies.

Note: This is not direct, continuous control of the physics simulation.

Sponsor segment detection

A project that evaluates transcript segments for video skipping.

Jev

Classifies transcript segments or assigns probabilities.

Note: Classifying a transcript is not the same as directly understanding video.

json-render composition

Chooses from predefined interface components that a renderer displays.

Jev

Selects a bounded component or specification.

Note: The related APIs are experimental and should not be treated as stable dependencies.

Instinct UI generator

Chooses predefined fields, components, and styles for an interface.

Jev

Selects component, field, and style candidates.

Note: Jev does not directly generate arbitrary source code in this project.

Wikipedia pathfinding

Chooses which available Wikipedia link to follow next during a path search.

Jev

Evaluates candidate links.

Note: This site's sandbox does not crawl arbitrary pages or claim a real-time shortest path.

Audio beep automation

A project that identifies where supplied recordings should be censored.

Jev

Decides whether a word should be muted under the supplied rules.

Note: Jev does not perform transcription or audio editing; real-time operation has not been verified.