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Overview

Jev is TypeSafe AI’s System One model. Instead of generating text, it evaluates a state against typed questions and returns calibrated probabilities, so a following step can branch on a number rather than parse a sentence. It fits classification, routing, rubric scoring, and guardrail checks.

Key Features

  • TYPESAFE_JEV_EVALUATE
    • Evaluate one state against many questions in a single request
    • Three question types:
      • noul — yes/no. Returns noul, the probability (0–1) that the answer is yes
      • choice — pick one option. criteria maps each option to a description (or null). Returns choice, probabilities, confidence
      • score — rate along ordered levels. criteria is an array of at least two level descriptions. Returns score (can land between levels), legend, probabilities, confidence
    • state accepts plain text or a JSON object/array
    • model defaults to jev-latest. Pin a version such as jev-1.13.0 if you tune confidence thresholds
    • Rate-limit (429) and overload (529) responses are retried automatically

Authentication

This tool requires your own TypeSafe AI API key; Jinba API credit is not available for it. See the TypeSafe AI quick start to obtain one. Note: Treat API keys as sensitive information and never commit them to public repositories.

Limits

  • Text only, with a budget of 64k tokens per request (32k for state plus the longest question)
  • English is the most accurate language. For other languages, check confidence before acting on an answer

Example: Triage a Support Ticket

Answers come back under the same ids, e.g. {{steps.triage.result.answers.department.choice}} or {{steps.triage.result.answers.is_urgent.noul}}.