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Model routing with decision models

Choosing which model, tier or reasoning effort should serve each request. A typed Choice over candidate models replaces a hand-written router or an LLM call that decides where to send work.

197 public projects · page 3 of 7

  • Runs Claude Code on Opus 5.5 with Jev re-picking reasoning effort after every tool batch, via per-message effort so the cache survives.

    ProxybetaTypeScript
  • Claude Code plugin that asks Jev before each turn for reasoning effort, subagent model, strategy and skill, with a decision log.

    Agent skillbetaTypeScript
  • Router that uses Jev's cloud decisions today, logs every decision with probabilities, and distils a local routing model from your traffic.

    ProjectbetaPython
  • Local pass-through proxy for Claude Code and Codex where Jev picks a model tier per human turn and only moves up within a session.

    ProxybetaTypeScript
  • TypeScript npm router that picks the cheapest of two or three model tiers able to handle a query, using one Jev classification.

    ProjectbetaTypeScript
  • Fourteen opt-in Claude Code and Codex skills where Jev makes one bounded choice: which skill, model, test, file or next step.

    ProjectbetaPython
  • Unofficial Rust gateway routing /v1/systemone requests to TypeSafe, Vercel, OpenRouter or local Laya via an editable DAG.

    ProxybetaRust
  • Terminal coding agent where an LLM reads, edits and runs code, and Jev makes a few optional side decisions.

    ProjectbetaTypeScript
  • Local OpenAI/Anthropic-compatible proxy where one Jev call picks the model route and thinking level for each coding-agent turn.

    ProxybetaGo
  • Router that puts models, subagents, skills, MCP tools and CLIs in one candidate set and asks Jev one Choice about which handles the step.

    MCP serverbetaTypeScript
  • Transparent proxy that asks Jev to classify each coding-agent prompt and injects the decision into the agent's context before it generates.

    ProxybetaPython
  • Local-first macOS coding workspace that runs your agents and lets a local Laya or hosted Jev selector pick a route the host validates.

    ServicebetaRust
  • Self-improving multi-platform agent harness with an optional Jev companion for typed judgments and per-session model routing.

    ServicebetaTypeScript
  • Oh My Pi extension where Jev classifies each prompt as simple or advanced and switches the model role, defaulting to advanced on doubt.

    PluginbetaTypeScript
  • Go gateway that puts local and hosted System One models behind one TypeSafe API, with a local Laya router choosing Laya or Jev.

    ServicebetaGo
  • OpenClaw plugin where Jev decides whether a group-chat bot should reply and, optionally, which model tier should answer.

    PluginbetaTypeScript
  • OpenCode plugin adding an Auto (Jev) virtual model that routes each turn to one of your configured real models.

    PluginbetaTypeScript
  • OpenCode orchestrator that keeps a cheap sticky parent model and escalates to strong child subagents only when Jev flags a hard turn.

    ProjectbetaTypeScript
  • OpenCode plugin and proxy where Jev picks reasoning effort per step; superseded by reasoning-router.

    ProxybetaTypeScript
  • Claude Code plugin with three Jev tools: verbatim context compaction, per-edit model routing and per-prompt skill selection.

    ProjectbetaPython
  • Supervisor-Lead-Peer roles for a team of Paseo coding agents, with opt-in Jev routing recorded as a receipt in shadow mode.

    Pluginbeta
  • Pi extension routing plan and implementation phases to light, standard or heavy model tiers based on a Jev capability score.

    ProjectbetaTypeScript
  • Pi extension suite using Jev for selective verbatim compaction and per-turn routing between cheap and strong models.

    PluginbetaTypeScript
  • Pi extension for Jev-based tool routing, skill discovery, typed judgments and optional model, thinking, guard and compaction modes.

    Agent skillbetaTypeScript
  • Decision governor for Pi routing plan strategy, model tier, tool permissions and outcome (finish, retry, replan) through Jev.

    ProjectbetaTypeScript
  • Pi extension asking Jev four questions per prompt (task kind, complexity, capability, deep reasoning) to pick a budget-aware model tier.

    ProjectbetaTypeScript
  • Pi /jev slash command: Jev picks model tier and thinking level for one prompt in about 200 ms before sending it.

    PluginbetaTypeScript
  • Pi model router using Jev via Vercel AI Gateway to pick a model and reasoning effort once per session, then stay pinned.

    ServicebetaTypeScript
  • Pi router that classifies each task with Jev via OpenRouter and picks a model from the quality-cost-latency Pareto frontier.

    ProjectbetaTypeScript
  • Pi/omp extension that keeps the model fixed and has Jev choose only the thinking effort each turn via a local SPI daemon.

    LibrarybetaTypeScript