Integrations for Jev

Developers define allowed components and actions so generated interfaces follow their own catalog and schema. The playground's experimental composer uses typesafe-ai/jev to evaluate candidate components while building a UI specification.

Instructions, tools, skills, channels and schedules live in conventional directories, making an agent project inspectable and extensible. The evaluate helper sends typed questions about supplied state through eve's model authentication, defaulting to Jev.

OpenInference supplies conventions and instrumentation for tracing AI applications, including model calls, retrieval and external tools. Its TypeSafe integration records systemOne calls as spans with JSON inputs and outputs, model and token usage; examples cover Choice, Noul and Score.

LocalJev translates typed decision requests into DiffusionGemma classification prompts and validates the generated probability output. Its Bun service exposes Jev’s response format through a standard OpenAI-compatible chat backend. Run it with Bun and an oMLX server, then direct TypeSafe SDK clients to the local API.

Jev MCP gives agents tools for evidence verification, classification, reranking, extraction and patch review. Register npx -y @jkudish/jev-mcp in an MCP client using Node.js 22 or newer and a configured Jev provider key.

Web Search Plus adds web search and page extraction tools to Hermes, with routing and fallback across configured providers. Install the Hermes plugin and configure a search provider. Enable Jev separately with setup --jev and install typesafe-sdk.

pg-jev filters, ranks and classifies PostgreSQL rows using plain-language SQL conditions. Batched Jev questions judge rows; SQL functions expose boolean, probability, choice and rubric-score results. Requires PostgreSQL 14–17, plpython3u, superuser access and a TypeSafe key.

The plugin uses Jev to recommend available tools, skills and task owners and to evaluate output against defined criteria. Install the native DSH bundle or import the iPolloWork package, configure a TypeSafe key, then check status before a live connection test.

fingers combines several web fingerprint databases and can use Jev to review rule matches, deduplicate findings and refine versions. Install the Go library and enable the judge with EnableJudge and a TypeSafe key, or use the CLI’s jev-key option.

Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships

Fish-style zsh history autosuggestions ranked by Jev (TypeSafe)

Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification

Open-source AI email triage for Gmail. Sorts your inbox into Needs reply, Updates, Promos, Sales and Spam with Jev, TypeSafe AI's decision model, via Vercel AI Gateway. Read-only, runs locally, 1,000 emails in about a minute for 3 cents.

A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.

TypeSafe decisions for Pi: batched evaluation tool, terminal playground, and typed API for extension authors

Semantic decisions as ordinary Ruby #feels?, #decide, #score, Rails validations and pattern matching powered by Jev

TypeSafe structured-output provider for RubyLLM 2

Semantic SQL for Postgres, powered by Jev

Async LangGraph workflow that gets a typed Jev Choice (invoice or general) and routes each inbound email to the matching handler.

Site search that understands the question. Ranked by TypeSafe's Jev model.

shadcn-style reusable components and blocks for using TypeSafe AI.

High-throughput, robust native DuckDB extension for batched and streaming TypeSafe/Jev classification, scoring, and semantic predicates from SQL.

TypeSafe AI Jev judgments for Agent Zero, with typed tools and probability cards.

Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.