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Cookbooks

Official TypeSafe cookbook recipes for guardrails, re-ranking, RAG passage classification, citation checks and more with Jev.

Articleproduction

This summary is based on how curated lists describe the project; its README was not available to review.

Overview

TypeSafe's Cookbooks section of the Jev documentation collects worked recipes for common decision-model tasks. According to the list summary, recipes include LLM guardrails, re-ranking, classifying RAG passages, checking citations, and other patterns.

The cookbooks are a starting point for developers who want to see how to phrase state and typed questions for a specific job and how to act on the returned probabilities. They are documentation rather than a standalone project.

What the decision model decides

TypeQuestionAnswers
Yes / noDoes this LLM output violate the guardrail policy?(inferred)yes · no
ScoreHow relevant is this passage to the query?(inferred)—
Yes / noDoes the cited source support this claim?(inferred)yes · no

How it works

  1. Pick a recipe matching your task
  2. Adapt the state and question definitions
  3. Call Jev and apply the recipe's threshold or ranking logic

Strengths

  • Official, task-specific examples
  • Covers guardrails, retrieval and citation checking

Caveats

  • List-only entry; recipe contents not reviewed here
  • Requires a TypeSafe key to run

Getting started

Start at https://docs.typesafe.ai/cookbooks/llm_guardrails.

At a glance

Type
Article
Status
production
Has code
yes

Use cases and integrations

How curated lists describe it

  • Official recipes for guardrails, re-ranking, RAG passage classification, citation checks, and more.

    MrJev/awesome-jev

Frequently asked questions

What recipes are included?

Guardrails, re-ranking, RAG passage classification, citation checks and more, per the list summary.

Who publishes them?

TypeSafe, as part of the official Jev docs.

Do I need an API key?

Running the recipes requires a TypeSafe key.

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