LLM Reference

Using Jev on TypeSafe AI

Implementation guide · System One · TypeSafe AI

Serverless

TypeSafe AI exposes Jev through model ID jev. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-16. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at TypeSafe AI and generate an API key.
  2. 2
    Use the TypeSafe AI SDK or REST API to call jev.
  3. 3
    You'll be billed $0.04/1M input, Free/1M output tokens.
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Code Examples

Code examples for this provider have not been sourced yet.

Pricing on TypeSafe AI

TypePrice (per 1M)
Input tokens$0.04
Output tokensFree

Capabilities

Structured Outputs

About Jev

Jev is TypeSafe AI's first System One model, released September 15, 2026 in early access. Built for automation workflows, Jev maps unstructured state to typed probabilistic decisions with parallel structured outputs, trained with Reinforcement Learning for Calibrated Decisions (RLCD). TypeSafe positions Jev as a frontier-intelligence function call—unstructured input in, calibrated decisions out—rather than a general chat or copilot model.

Full model details →

Model Specs

Released2026-09-15

Provider

TypeSafe AI

San Francisco, California, United States