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AI gateway with a TypeSafe guardrail and Jev classifier for policy judgments and complexity-based request routing.
58 open source Jev projects in this category, part of AionEdge's independent index of the Jev ecosystem.
AI gateway with a TypeSafe guardrail and Jev classifier for policy judgments and complexity-based request routing.
Coding agent with a TypeSafe judgment provider that uses Jev for typed checks, routing, and workflow decisions.
OpenChamber’s optional automatic model router uses Jev to classify a message before selecting a configured model and reasoning level.
Firstmate can optionally use Jev to match task briefs to dispatch rules before local policy chooses an Agent configuration.
An optional Jev decision backend in the Atomic coding Agent for bounded structured choices such as routing.
Hermes plugin and skill suite using Jev for model routing, skill selection, memory filtering, compaction, and GUI actions.
An optional Jev routing path that matches VexJoy requests to specialist Agents, skills and workflows.
Route to the cheapest model in claude code for your task using jev-router.
An optional Jev dispatch classifier for choosing among WrongStack specialist Agents.
Uses Jev to classify each Codex turn, then applies local rules to choose the model, reasoning effort, and speed mode.
Unified AI SDK whose TypeSafe decide API supplies typed judgments for model routing, compaction, tools, and retrieval planning.
CLI that uses Jev task classification to choose and launch Cursor, Claude Code, Codex, or OpenCode with an appropriate model and effort level.
An experimental semantic HTTP router for Hono using natural-language route descriptions.
Full-stack agent harness with memories, long-running tasks, multi-agent relay, and a Jev-backed model-routing table.
A Python CLI for semantic predicates, routing, scoring and filtering over text or JSONL.
Document OCR router where Jev judges page by page whether the existing text layer is usable or OCR is required.
Typed, confidence-aware agent skill routing with TypeSafe Jev.
Pi model router that uses Jev task classification and a measured Pareto frontier over quality, cost, and latency to select an OpenRouter model.
An opt-in Hermes Agent plugin that asks Jev to suggest one relevant skill before a model call.
Interactive Jev experiments for support-routing previews and 3D driving simulations.
Automatic model routing for Pi using TypeSafe's Jev through Vercel AI Gateway.
Open-source LLM router that uses TypeSafe's Jev to pick a model, on top of LiteLLM.
LLM router that picks the cheapest model capable of handling a query, using TypeSafe's Jev for fast classification instead of an LLM call.
MCP router for Codex that uses Jev to select an external tool on demand instead of exposing the agent to every tool schema.
Local proxy that picks the Claude model and effort per message using TypeSafe Jev. Routes subagents, leaves your cached main chat alone.
TypeSafe AI System One task plugin for New API with a native `/v1/systemone` endpoint, routing, and token billing.
Eight mechanical and electrical engineering experiments using Jev for task routing, log checks and component selection.
Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.
MCP server that uses Jev to route coding-agent decisions such as file selection, task paths, and test-impact checks.
An optional TypeSafe package in a Go Agent library, using Jev as a tool or routing judge alongside chat models.
A local Jev tool-routing gateway for coding Agents, with an MCP suggestion interface.
Shift every LLM call to the cheapest model that can handle it. Routing decided by TypeSafe Jev in ~180 ms. No training data. Policy in plain YAML. TypeScript and Python.
A task-routing experiment combining skill conditions and environment checks to suggest rules, skills or a large model.
Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.
Benchmarking TypeSafe's Jev decision model as a cost-efficient LLM router on RouterArena.
Per-prompt capability router for coding agents: resolves installed skills, MCP servers, agents and commands against your prompt via TypeSafe Jev, and measures whether the injection actually helps.
Tell Claude Code which installed skill a session needs, using Jev (TypeSafe AI) for the decision and skills.sh for discovery.
A Home Assistant conversation integration routing simple lighting commands to services and other requests to Grok.
Type-safe model router. Jev (System One) banks each request to a typed catalog route.
Portable System-1 decision layer for agent harnesses with host-owned routing, receipts, replay, and fail-open integrations.
Local model-routing proxy where Jev selects the model route and reasoning depth, and also judges which tool history can be compacted.
Security-alert triage filter where Jev or a local model returns typed dispositions while policy routing remains in code.
A Jev and Herdr integration guide with a prototype for routing tasks to different Agents.
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.
Experimental Hermes plugin: Jev-assisted model routing plans with budget and capability constraints. API access pending.
Guardrail + model router for LLM gateways on TypeSafe's Jev (System One model), with an independent accuracy/calibration/latency evaluation. Stdlib Python.
A local MCP server that uses TypeSafe Jev to confidence-gate an AI agent’s next step, routing uncertain decisions to proceed, deeper review, or human input.
Configurable decision MCP server with AI SDK, Jev, percentage scores, and bias-profile routing.
Jev model-routing integration for the Pi coding agent.
A gateway that asks Jev continue / tool / verify questions and invokes a generative LLM only when policy says generation is needed.
A customer-service routing demo that batches Jev questions before following the resulting route.
Research toolkit applying conformal risk control and prediction-powered inference to certify Jev routing thresholds.