An open model made to answer like Jev with a scoring endpoint.
Nick Khami built an endpoint that makes an open model behave like Jev. It uses the scoring endpoint in sglang, which forces probabilities over a fixed set of answers instead of streamed text. For DeepSeek he adds a closing think tag before the response, so the model answers directly instead of reasoning first.
A frustrated customer hits a bot loop twice; the judge checks whether a human handoff was offered.
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An agent cancels a subscription; the judge checks the exact date the cancellation takes effect.
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An agent quotes $29/seat against a price list; the judge checks the quote matches exactly.
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A support agent issues a $42.50 refund; the judge checks the exact amount was stated before the refund was confirmed.
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you can make any open source model behave like jev with just a bit of inference engineering. it's shockingly easy. to prove it, we built a new endpoint we're calling deepseek-v4.1-flash-jev. see the demo below. here's how it's done: sglang (an inference engine) offers a Show more
