Go SDK Brings TypeSafe AI's Jev Structured Output Model to Golang Backends

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TypeSafe AI, founded by former OpenAI engineers, has released a model called Jev that returns structured outputs such as scores, labels, and probabilities instead of generating text, achieving response times between 70ms and 500ms. Unlike traditional LLMs that produce tokens sequentially, Jev processes input data and multiple questions in parallel, returning strongly typed values suited for direct use in backend logic. Official SDKs for Jev were previously limited to Python and JavaScript, leaving Go developers without native support. A team addressed this gap by building and open-sourcing taurus-jev-sdk-go, allowing Golang backends to integrate Jev without writing raw HTTP requests manually. The SDK supports all three of Jev's question types — boolean probability, label classification, and numeric scoring — as demonstrated through a support ticket categorization example.

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