Tried using jev to help reduce local tool calls and decide

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Prototyped Jev on pi to decide whether to reduce local tool calls and whether to put a tool's output into context, but hit server timeouts.

The original post, translated

Tried using jev to help reduce local tool calls and decide whether to put a certain tool's output into the context. Made a prototype on pi. But it seems jev's server has overload issues; ran several benchmarks and all had timed-out requests. Also didn't see the expected E2E speedup.

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尝试着用 jev 帮助减少本地 tool 调用和决策是否将某个 tool 的输出放入上下文。 在 pi 上做了个 prototype 。 但似乎 jev 的服务器有过载问题,跑了几个 benchmark 都有超时的请求。 也没有看到预想中的 E2E 提速。

The post above is a machine translation from zh; the untranslated text is in the fold-out.

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Filed under classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the classification & data extraction page.

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post