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JevMade field notes / Integration guide

TypeSafe (Jev)

Pydantic AI’s integration guide maps typed output fields and tools onto Jev questions, documents hard request limits, and explains when to pin a model or fall back to a language model.

Original by PydanticIntegrationsOfficial documentationSource reviewed

Before you dive in

What you’ll find in the original

  1. Install the TypeSafe extra, set TYPESAFE_API_KEY, and use typesafe:jev-latest or a versioned model identifier.
  2. Express each decision as a typed field; Pydantic AI turns field descriptions, enums, and boolean criteria into parallel Jev questions.
  3. Pin the model after tuning thresholds, respect option/context limits, and fall back for generation, arithmetic, adversarial text, or uncertain routes.
Worth knowing

The page explicitly warns that Jev can confidently answer badly; teams should measure accuracy and hand-off rates on their own labelled data.