Jev Brain:agent 前置本地路由层,token 降 95%
Jev Brain 在模型前做本地预执行路由,置信度≥0.80 直接执行,仅模糊情况升级给 Claude/Grok/GPT,实测 token 降 95.2%。
Most teams still send every agent decision to a frontier model. That’s why inference is slow, expensive, and unsafe. Jev Brain sits in front of the model. Local pre-execution routing in <1ms. Confidence ≥ 0.80 → AUTO_ACT. Ambiguous cases only escalate to Claude / Grok / GPT. Everything else is handled by cache, pruning, and a deterministic warden. Benchmarks on 10k real events: 95.2% token reduction mean latency 0.18ms vs 2,140ms unrouted $15.36 vs $320 per 100k queries <15MB footprint GitHub Action + pre-commit hook included This is the missing layer between “agent can do anything” and “agent should do this.” Route first. Think only when it matters.