CASE FILE / Model & agent routing
Jev solved local harness/model routing I use a combination of Claude Cod…
Jev solved local harness/model routing I use a combination of Claude Code, Codex and Opencode as my local agentic stack and routing to other harnesses was always enforced in the system prompt/rules With a deterministic hook that Claude Code can decide before delegation, Jev helps to route to the right harness/model based on the task, and it's pretty accurate based on the intensity/intelligence of the task > Mechanical tasks get routed to Haiku > Intelligent ones to Opus sub-agents > Long-running implementation work to external harness
Original post
Jev solved local harness/model routing I use a combination of Claude Code, Codex and Opencode as my local agentic stack and routing to other harnesses was always enforced in the system prompt/rules With a deterministic hook that Claude Code can decide before delegation, Jev helps to route to the right harness/model based on the task, and it's pretty accurate based on the intensity/intelligence of the task > Mechanical tasks get routed to Haiku > Intelligent ones to Opus sub-agents > Long-running implementation work to external harness
Chinese translation
Jev解决了本地线束/模型布线 我使用Claude Code、Codex和Opencode的组合作为我的本地代理堆栈，并且始终在系统提示/规则中强制执行到其他安全带的路由 借助Claude Code可以在委托前决定的确定性挂钩，Jev帮助根据任务路由到正确的装备/模型，并且根据任务的强度/智能，它非常准确 >机械任务被路由到俳句 > Opus子代理的聪明人 >外部利用的长期实施工作
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