Jev Tool Calling

A community Rust port of the official Python SDK with the same primitives, wire format, retries, and error semantics, plus derive macros for typed questions and answers.

A personal-assistant agent with 100 mocked tools that measures how many steps a task takes when the LLM picks the tool versus when Jev picks it before every model step.

A pi extension that exposes TypeSafe Jev judgments as five tools, calling POST /v1/systemone directly with native fetch so your code and users keep control of thresholds, weights, and actions.

A Pi extension and library that gives the agent and other extensions one consented, key-managed Jev client, with a batched typesafe_evaluate tool for classify, triage, compare, and score judgments.

An ACP and MCP adapter that bridges TypeSafe Jev with any LLM: native Jev when TYPESAFE_API_KEY is set, or Codex, Claude, Grok, OpenCode, and OpenAI-compatible endpoints standing in as System One when it is not.

A Chrome side panel that turns the current page's WebMCP tool schemas into typed Jev questions, predicting the tool call, its arguments, confidence, and latency as you type.

An open 0.6B System One decision model that reads unstructured state and typed questions in one forward pass, returning calibrated distributions with zero decoded tokens; weights are published on Hugging Face.

A chat-shaped command bar where Jev picks the tool, arguments, confirmation, and reply type each turn, and code calls the MCP servers, so no LLM ever writes the reply text.

The official demo hub, currently home to the Smart Home Assistant, which uses speculative questions to pick a tool and falls back to a general model when nothing fits.

Turn natural language into typed function calls: closed-set arguments become Choice questions, optional ones become Noul questions, and 54 questions ship in one request for a trading assistant.

A smart home assistant that uses TypeSafe to evaluate user requests, pick a tool, and fill its arguments from plain language.