万级 agent 集群用 Jev 做结构化路由省 444 倍
作者称把标准路由换成 Jev 的结构化评估后，大规模 agent 集群的路由成本降到原来的 1/444。
Building one "smart" AI agent is a toy. Building a swarm of 10,000 agents running concurrently is how people are printing money right now. But if you try to build this using standard GPT-4 routing, you will literally bankrupt yourself by Wednesday. You are paying a model trained to write poetry to do basic logical routing. Every time your agent loops to parse a JSON schema, you're burning profit margin. Look at the swarm in this visual. To run this at scale without losing money, the unit economics have to be basically zero. Swapping your standard routing to structured eval with jev makes this exact process 444x cheaper. You stop renting expensive API text generation and start running actual deterministic logic. It costs pennies. I broke down the exact architecture of how this works. Stop burning your API budget and read this article.
这条是引用着另一条写的：x.com/0xhadari/status/2102413869155061760