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CASE FILE / Model & agent routing

@typesafeai jev playing chrome dino

@typesafeai jev playing chrome dino! the model is incredibly fast! - avg response time: ~280ms - spent 116M tokens - cost? just $4.65. - the input here is a snapshot of the chrome runner - jev decides whether to jump, run or duck with a confidence score repo link if you want to try it out! 👇🏻

By Parth @mittalparth_
● ● ●CASE FILEGUIDE
Parth · @mittalparth_

Original post

@typesafeai jev playing chrome dino! the model is incredibly fast! - avg response time: ~280ms - spent 116M tokens - cost? just $4.65. - the input here is a snapshot of the chrome runner - jev decides whether to jump, run or duck with a confidence score repo link if you want to try it out! 👇🏻
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Chinese translation

@typesafeai jev玩Chrome dino! 该模型速度惊人! - 平均响应时间:~ 280 ms - 花费1.16亿代币 - 成本?只要4.65美元。 - 这里输入的是一个铬亚军的快照 - jev用信心分数决定是跳跑还是闪避 如果您想尝试一下,请访问repo链接!👇🏻

What this case shows

  • Let JEV choose the model or tool first
  • Auto-route on high confidence, escalate otherwise
  • This is the most common production pattern