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ZES-9router

Route AI model traffic across multiple LLM providers via an OpenAI-compatible gateway.

Updated Jul 8, 2026
Search Tags:#api#routing#llm#proxy#gateway#load-balancing
One-click install
npx skills add https://github.com/ZESCODE/Zes-Orchestration-System --skill zes-9router
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ZES-9router
Source: https://github.com/ZESCODE/Zes-Orchestration-System/tree/main/.agents/skills/ZES-9router
Command: npx skills add https://github.com/ZESCODE/Zes-Orchestration-System --skill zes-9router

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires node.

What problem does it solve?

This Skill solves the fragmentation of AI provider access by centralizing model routing, API key management, and load balancing into a single, local gateway.

Core Features & Use Cases

  • Unified Gateway: Provides a single OpenAI-compatible endpoint for multiple LLM providers including Groq, NVIDIA, and Gemini.
  • Load Balancing: Distributes requests across various backends to optimize performance and bypass provider-specific rate limits.
  • Use Case: Developers can switch between different LLM backends without changing their application code by simply updating the routing configuration in the 9Router dashboard.

Quick Start

Start the 9Router service by navigating to the directory and executing the node server script.

Frequently Asked Questions about ZES-9router

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I route API requests across multiple LLM providers using a single endpoint?▼

You can route API requests across multiple LLM providers by using a unified OpenAI-compatible gateway that centralizes traffic management. This allows seamless switching between backend services like Groq and NVIDIA NIM without altering application code.

Can I switch between Groq, NVIDIA NIM, and Cloudflare Workers AI without changing application code?▼

Yes, you can switch between Groq, NVIDIA NIM, and Cloudflare Workers AI without changing code by updating the routing configuration in your local gateway dashboard. The unified OpenAI-compatible interface standardizes communication with all backends.

What is an OpenAI-compatible API gateway for LLM proxying?▼

An OpenAI-compatible API gateway for LLM proxying is a centralized service that standardizes communication between local agents and external AI infrastructure. It solves provider fragmentation by unifying API key management and model routing into one local endpoint.

Do I need Node.js to run a local AI model gateway?▼

Yes, you need Node.js installed to run this local AI model gateway, as it executes via a node server script. The Node.js environment provides the runtime required to start the gateway service and manage routing configurations.

Why does my LLM application hit rate limits when using a single AI provider?▼

Your LLM application hits rate limits because a single AI provider restricts the volume of requests allowed within a timeframe. Implementing an API gateway to distribute traffic across multiple backends bypasses these provider-specific rate limits.

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