What it does
Its TypeSafeModel calls Jev through the Python SDK; the docs show how to hand off unsupported or low-confidence work to a language model. Requires the typesafe extra and an API key.
Integrations
TypeSafe (Jev) in Pydantic AI
Pydantic AI maps typed agent outputs and tool choices to Jev questions, with per-field confidence for routing uncertain answers.
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How you can use it
You can give your app a text along with a list of choices. An outside AI service called TypeSafe reads this information and picks the best option instead of writing new sentences. Your developer needs an access key to connect the app to TypeSafe.
This service remembers a limited amount of information during a single conversation. If an ongoing chat gets too long and hits this memory limit, the request fails. Your developer can set up a backup AI model that automatically takes over when the text gets too long.