Explainers· Last updated 2026-09-21

Context selection for Jev decisions

Context selection for Jev decisions is an independent briefing for engineers. Intent: understand which context a decision needs.

Related search language: Jev context selection, TypeSafe Jev, Jev decision model, decision automation.

Official facts that apply

• Evaluation API documented by TypeSafe: POST https://api.typesafe.ai/v1/systemone.
• List aliases: GET https://api.typesafe.ai/v1/models.
• Question types: Choice, Score, and Noul. Mix them in one questions map.
• Public list price for jev-1.13 (confirm on the models page): $0.042 per million input tokens; output tokens are free.
• Choice and Score return confidence. Noul returns only noul (0–1).
• Jev does not generate replies, code, or reasoning text. Code owns control flow.

Context selection for Jev decisions: context

Context selection for Jev decisions sits in the System One loop: you assemble a state, ask typed questions, and let your code act on probabilities and (for Choice/Score) confidence. The reader intent here is to understand which context a decision needs. Keep the judgment narrow. TypeSafe’s docs say a good question is a snap decision a knowledgeable person could make in a few seconds — not an open-ended analysis.

Context selection for Jev decisions: inputs

Context selection for Jev decisions sits in the System One loop: you assemble a state, ask typed questions, and let your code act on probabilities and (for Choice/Score) confidence. The reader intent here is to understand which context a decision needs. Keep the judgment narrow. TypeSafe’s docs say a good question is a snap decision a knowledgeable person could make in a few seconds — not an open-ended analysis.

Context selection for Jev decisions: decision logic

Context selection for Jev decisions sits in the System One loop: you assemble a state, ask typed questions, and let your code act on probabilities and (for Choice/Score) confidence. The reader intent here is to understand which context a decision needs. Keep the judgment narrow. TypeSafe’s docs say a good question is a snap decision a knowledgeable person could make in a few seconds — not an open-ended analysis.

Context selection for Jev decisions: implementation notes

Context selection for Jev decisions sits in the System One loop: you assemble a state, ask typed questions, and let your code act on probabilities and (for Choice/Score) confidence. The reader intent here is to understand which context a decision needs. Keep the judgment narrow. TypeSafe’s docs say a good question is a snap decision a knowledgeable person could make in a few seconds — not an open-ended analysis.

Disclaimer

This is an independent unofficial site and is not affiliated with TypeSafe AI; official documentation is available at https://docs.typesafe.ai.

Primary documentation: https://docs.typesafe.ai. Never treat jev.pro as TypeSafe official documentation. We do not sell, issue, or proxy API keys.