tiershift
Shifts every LLM call to the cheapest model that can handle it, policy in YAML, decision in about 180 ms.
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Shifts every LLM call to the cheapest model that can handle it, policy in YAML, decision in about 180 ms.
Picks Cursor, Claude Code, Codex, or OpenCode plus model and effort for a task, then launches it.
Measures on your data when Jev beats other models, then routes accordingly.
Models, subagents, skills, MCP tools, and CLIs as one candidate set; Jev picks, the router enforces permissions and risk; reports 44 percent first-five tool-call hits against 24 for DeepSeek on Toolathlon.
Local gateway for Codex and Claude Code that sends the "which tool next" decision to Jev and everything else to your usual model.
Jev picks the worker tier for each step in OMP and Pi, keeping planning and review on a strong model and bounded work on cheaper ones.
Local OpenAI, Anthropic, and Responses-compatible proxy that serves one Jev call per turn to answer both the model route and the thinking level for its virtual model jevonian/auto, with code filtering candidates by protocol, context window, effort floor, and spent quota windows first, and pinned models or explicit routes skipping Jev entirely.
TypeScript AI SDK where decide, via Jev, is a peer of generate and stream: one typed-judgment call routes model choice, prunes context, and picks MCP tools.