Trained KV cache bank turns any LLM into Jev like Model

A demo titled "Trained KV cache bank turns any LLM into Jev like Model" presents a typed-decision interface for routing customer messages, offering choice, noul, and score decision types with a criteria list covering billing, support, sales, and other categories. The preview runs an 8-case suite at 2 concurrent requests under rate limiting, reporting round trip, inference, and network-plus-queue latency, with TypeScript SDK, Python SDK, and cURL access. The example input is a customer message stating "Cancel my subscription immediately. I was charged twice and nobody replied.

Experiment Gambler 26B Try a typed decision, inspect its probabilities, or run the latency suite. Checking service… Decision type choice noul score Model State A customer says: “Cancel my subscription immediately. I was charged twice and nobody replied.” Question Criteria — one per line billing = Payments, charges, invoices, or refunds support = Product help or technical problems sales = New purchases or upgrades other = None of the above Decide once ▶ Run 8-case suite 2 concurrent requests · rate-limited preview Result — — Round trip — Inference — Network + queue Run a decision to see the full typed response. TypeScript SDK Python SDK cURL