TypeSafe AI's Jev 1.14 is now available on AI Gateway
Quick Answer
TypeSafe AI's Jev 1.14 is now available on AI Gateway, enhancing decision-making with typed responses and image input capabilities.
Quick Take
This version introduces a long-context mode for processing extensive documents and supports Zero Data Retention and No Training options per request.
Key Points
- Jev 1.14 processes state and questions to return typed answers with probabilities.
- New long-context mode handles lengthy documents and logs beyond standard request limits.
- Image input is supported, allowing Boolean questions about image content.
- Zero Data Retention and No Training options can be enabled per request.
- Decision calls are logged and contribute to usage budgets.
📖 Reader Mode
~1 min readJev 1.14 from TypeSafe AI is now available on AI Gateway.
Jev is a decision model for software. You pass it state and a set of questions, and it returns typed Choice, Score, and Boolean answers with probabilities instead of free-form text. It answers every question in one request, in parallel, for classification, routing, scoring, and automated verification.
Jev 1.14 accepts images as part of the state, and has an experimental long-context mode for documents, logs, or conversation histories that are too long for a standard request.
Use typesafe-ai/jev-1.14.0 as the model name.
Copy link to headingImage input
Pass an image as a file part alongside text in state. This example reads a local PNG and asks a Boolean question about its color:
Copy link to headingLong context
Enable long-context mode with providerOptions.typesafe.longContext: true. This example reads a support log and checks whether it reports a damaged delivery:
Jev supports Zero Data Retention and No Training, which you can enable per request. Decision calls also appear in logs and custom reporting, count toward budgets, and accept other Gateway provider options in the same providerOptions.gateway object.
Read the documentation on decision models on AI Gateway for more details, discover practical use cases for Jev, and browse resources in the knowledge base.
— Originally published at vercel.com
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