Deploy and Host OmniRoute AI Gateway on Railway

OmniRoute AI Gateway is a unified AI proxy that lets you route multiple LLM providers through one OpenAI-compatible endpoint. Instead of managing many different provider URLs, API formats, and client configurations, OmniRoute gives you one central gateway for connecting models from different AI providers.

About Hosting OmniRoute AI Gateway

Hosting OmniRoute AI Gateway gives you a self-hosted control layer for your AI traffic. You can connect multiple LLM providers, configure endpoints, generate API keys, and route requests through a single /v1 compatible endpoint.

This template runs OmniRoute as a single container using the official Docker image. It includes persistent storage so your dashboard settings, providers, endpoints, and routing configuration are retained across redeployments.

After deployment, open the public URL, configure your providers from the dashboard, create an endpoint/API key, and use the generated endpoint in tools such as Claude Code, Cursor, Cline, OpenWebUI, LiteLLM-compatible clients, or any OpenAI-compatible SDK.

Common Use Cases

• Use one endpoint for multiple LLM providers
• Connect OpenAI, Claude, Gemini, OpenRouter-style providers, and other AI APIs
• Manage AI provider keys from one dashboard
• Create OpenAI-compatible endpoints for AI tools and coding agents
• Route different models through a centralized AI gateway
• Prepare a self-hosted AI proxy for teams, automation, and internal tools

How It Works

OmniRoute runs as a single web service.

Client / AI Tool
      ↓
OmniRoute AI Gateway
      ↓
Configured LLM Provider

Once deployed, OmniRoute exposes:

Dashboard:
https://your-domain

OpenAI-compatible API endpoint:
https://your-domain/v1

You can then configure your AI tools using:

Base URL:
https://your-domain/v1

API Key:
Generated from OmniRoute dashboard

Persistent Storage

This template uses persistent storage mounted to:

/data

The volume is used to keep OmniRoute data across redeployments, including dashboard configuration, providers, endpoints, and other saved settings.

Without persistent storage, your configuration may be lost after redeploying or restarting the service.

Deployment Details

This template uses the official OmniRoute Docker image:

diegosouzapw/omniroute:latest

Default application port:

20128

Recommended service structure:

OmniRoute AI Gateway
└── Service: OmniRoute
    ├── Image: diegosouzapw/omniroute:latest
    ├── Port: 20128
    ├── Volume: /app/data
    └── Public URL enabled

Post-Deployment Setup

After the service is deployed:

1. Open the generated public URL.
2. Access the OmniRoute dashboard.
3. Add your AI provider credentials.
4. Create or configure an endpoint.
5. Generate an API key.
6. Use the /v1 endpoint in your AI tools or applications.

Example configuration for OpenAI-compatible clients:

Base URL: https://your-domain/v1
API Key: your-omniroute-api-key

Dependencies for OmniRoute AI Gateway Hosting

• OmniRoute Docker image
• Persistent volume mounted to /app/data
• Public URL for dashboard and API access
• API keys from the AI providers you want to connect

Deployment Dependencies

• OmniRoute GitHub: https://github.com/diegosouzapw/OmniRoute
• OmniRoute Docker Image: https://hub.docker.com/r/diegosouzapw/omniroute

Why Deploy OmniRoute AI Gateway on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying OmniRoute AI Gateway on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.