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Agent routing & tool choice — page 2
Routers and orchestrators that choose between tools, models, agents or workflow branches. Jev returns a typed choice instead of a sentence.
391 active projects match this task, ordered by traction.
Open-source LLM router that uses TypeSafe's Jev to pick a model, on top of LiteLLM
Interactive experiments with TypeSafe Jev, from support routing to 3D driving simulations with real AI decisions and visible sensor inputs.
A minimal Pareto-optimal OpenRouter model router for pi, based on Jev
Task-boundary model routing for Pi Coding Agent, powered by TypeSafe Jev. Conservative policies, exact caching, and observable failover.
Open-source model and reasoning effort router for Claude Code and Codex, using Jev or experimental self-hosted Laya.
Flue agent routing with TypeSafe Jev through Cloudflare AI Gateway
LLM router that picks the cheapest model capable of handling a query, using TypeSafe's Jev for fast classification instead of an LLM call.
Pi extension suite powered by Jev: selective context compaction and model routing
Route form submissions to the right people with Jev and AI SDK.
Autonomous 24/7 Zero-Inbox triage for Gmail powered by TypeSafe Jev System One
SLO-aware LLM inference router with Jev decisions, live queue metrics, counterfactual evaluation, and reproducible latency/cost benchmarks
Per-turn model routing for the Pi coding agent: a small judge picks the cheap or the strong tier for each message, with multi-model failover, task-level orchestration, and an optional decision-model judge (Jev) that answers with a calibrated probability instead of prose.
Confidence-gated incident routing with TypeSafe Jev
Jev-powered MCP tool routing for Codex
Route pi prompts to task-appropriate model tiers with TypeSafe Jev typed judgments. Budget-aware, with automatic fallback.
LlamaIndex reranker + router powered by TypeSafe Jev - typed scores/choices, cheaper than LLM-as-judge.
DiffJury — TypeSafe Jev PR risk router + code review coach
Jev Auto Router (Jev Router): experimental per-call GPT model routing for Codex via TypeSafe Jev and a local Responses proxy, with independent task verification.
Claude Code plugin: asks TypeSafe Jev which installed skill fits each prompt and logs the answer (shadow-first). A working reference for the skill-suggestion cookbook on Claude Code — the README records why it is unlikely to help a strong model as a router.
Fast zero-shot and few-shot LLM routing powered by Jev.
Local proxy that picks the Claude model and effort per message using TypeSafe Jev. Routes subagents, leaves your cached main chat alone.
Calibrated tool selection and schema pruning for AI agents. Zero dependencies.
Prompt Claude Code: tre sistemi costruiti su Jev di TypeSafe — routing del modello, compattazione del contesto e code review