Skip to content
Metatext Decide — typed decisions for your agents, with a probability on every answerGet early access
Metatext
Sign Up

Jev-Demo-App

Small demo app combining Jev with a Groq-hosted model for request routing and insights.

Appprototype
View on GitHub ↗

This summary is based on how curated lists describe the project; its README was not available to review.

Overview

Jev-Demo-App is described only by a one-line list summary: a simple app that pairs Jev with a Groq model for routing and insights. The likely pattern is that Jev makes a typed routing decision and a Groq-hosted LLM produces text, but this is inferred.

No README was available, so features, setup, licence and maturity are unknown.

What the decision model decides

TypeQuestionAnswers
ChoiceWhere should this request be routed?(inferred)—

How it works

  1. Receive a request
  2. Jev makes a routing decision
  3. A Groq model generates insights or a response

Strengths

  • Illustrates pairing a decision model with a fast LLM

Caveats

  • No README; details unknown
  • Demo scope

At a glance

Type
App
Status
prototype
Runtime
App
Has code
yes

Use cases and integrations

How curated lists describe it

Frequently asked questions

What does Jev do here?

According to the summary, it handles routing while a Groq model provides insights.

Is there documentation?

No README was available.

Does it need keys?

Presumably a Jev key and a Groq key, but this is not documented in the sources.

Related projects

  • multi-agent-jev

    Rust template for multi-agent orchestration with Jev as the L0 layer for typed routing, risk and escalation decisions.

    ProjectprototypeRust
  • AgentScope

    Alibaba's AgentScope 2.0 agent framework, which added a JevClassifierModel for binary, choice and score decisions via the TypeSafe SDK.

    ProjectproductionPython
  • HiRoute

    Local-first routing engine for long-running agent tasks that uses a Jev decider to pick a model group per turn.

    PluginproductionRust, TypeScript
  • Kilo Code auto-routing

    Kilo Code's cloud monorepo, where a System One classification replaced an LLM call in the auto-routing path.

    ProjectproductionTypeScript
  • LiteLLM

    Open-source AI gateway for 100+ LLMs that can use Jev to classify requests for complexity routing and to compact tool results.

    ProxyproductionPython
  • openchamber

    Open-source workspace for running and reviewing AI coding agents across devices, with an optional Jev-based automatic model router.

    ProjectproductionTypeScript