Jev 路由层：把昂贵模型调用从 agent 流程里剔出去
一张流程图讲清 Jev 如何用结构化状态、路由、校验和执行门控替代反复调用 LLM，官方测试称最高快 193 倍、便宜 444 倍。
this map shows every point where an agent system can avoid calling the expensive model most stacks send each decision back through the LLM: parse the request, choose a worker, inspect the result, approve the tool call, repeat. the same model ends up routing, judging and doing the work, so every branch adds latency and cost Jev Engineering moves that control logic into a measurable decision layer: request → structured state → Jev router → cheapest capable model → worker → validation → execution gate → tool those middle steps score requests, reject bad routes, approve valid ones and leave a trace you can inspect in Jev’s tests, this architecture ran up to 193x faster and 444x cheaper. the gains came from skipping model calls whenever defined software could make the decision the expensive model only enters when the request is ambiguous enough to need it the article below explains the router, gates and measurement layer in detail ↓
这条是引用着另一条写的：「长文：Jev 或成 AI agent 缺失的控制层」