AI INTEGRATION & TOOLING

OmniRoute + Claude: Setting Up AI Model Routing

Configure OmniRoute to unify access to multiple AI models including Claude, with intelligent load balancing and fallback strategies through a local interface.

AI Integration & Development 12 min read OmniRoute, Claude AI, LLM Integration, AI Routing

OmniRoute is a powerful tool for managing multiple AI model providers through a unified interface. In this guide, we'll set up OmniRoute to route requests to Claude and other LLMs with intelligent load balancing using a RoundRobin strategy. This approach allows you to leverage multiple free and paid AI providers while maintaining a single integration point.

Step 1 – Install Node.js

OmniRoute requires Node.js to run. Download and install the latest LTS version from the official Node.js website.

Download Node.js

Step 2 – Install OmniRoute

Once Node.js is installed, proceed to the OmniRoute official website to download and install OmniRoute.

OmniRoute Official Website

Step 3 – Install Visual Studio Code

We'll use Visual Studio Code as our terminal environment for launching and managing OmniRoute. Download the latest version from the official site.

Download Visual Studio Code

Step 4 – Launch OmniRoute from VS Code Terminal

Open Visual Studio Code and launch a terminal. From the terminal, execute the OmniRoute launcher:

OmniRoute launching from VS Code terminal

Figure 1: Launching OmniRoute from the terminal

Step 5 – Access OmniRoute Dashboard

Once OmniRoute is running, open your browser and navigate to the local address displayed in the terminal output. The initial setup page will display the temporary password needed to access the dashboard.

OmniRoute initial setup screen with password

Figure 2: Initial OmniRoute setup screen with temporary password

Enter the displayed password and click Continue to proceed to the dashboard:

Figure 3: Enter the temporary password to access dashboard

Step 6 – Add AI Providers

In the OmniRoute dashboard, you can add multiple AI model providers. For this guide, we'll add Antigravity and Kiro AI (which provides Claude models):

Figure 4: Adding AI providers in OmniRoute

After adding providers, you can test them to verify they're working correctly:

Figure 5: Testing provider connections

Connecting to Claude via Kiro AI: Select Google as your authentication method to connect Kiro AI, which provides access to Claude models:

Figure 6: Configuring Kiro AI provider with Google authentication

Figure 7: Claude models available through Kiro AI

Step 7 – Add Additional Free Providers

To maximize your available models, consider adding these free or low-cost providers:

NVIDIA NIM: Free API with excellent models (create a free developer account at build.nvidia.com)
OpenRouter: Unified interface for multiple models (manage keys at openrouter.ai)
OpenCode Free: Free tier access to various models

Figure 8: Configuring additional free providers (NVIDIA NIM, OpenRouter, OpenCode)

Step 8 – Create a Combo Flow

A "Combo Flow" in OmniRoute allows you to combine multiple providers and models under a single routing strategy. Click to create a new combo:

Figure 9: Creating a new Combo flow

Select the default free template and proceed to model selection:

Figure 10: Selecting the default combo template

Figure 11: Selecting models from your configured providers

Arrange Model Priority: The order of models in the combo determines their execution sequence. Use the arrow controls to reorder them:

Figure 12: Reordering models using arrow controls

Configure Routing Strategy: Proceed to the Strategy step and select RoundRobin. This strategy cycles through your models sequentially, distributing load evenly and providing automatic fallback if one provider fails:

Figure 13: Combo created with RoundRobin strategy

Complete the combo creation wizard and your multi-model routing configuration is ready.

Step 9 – Generate API Key

OmniRoute generates an API key that you'll use to authenticate requests. Create and copy this key for use with Claude Code:

Figure 14: Generate and copy your OmniRoute API key

Step 10 – Configure Claude Code with OmniRoute

Before running Claude for the first time, configure environment variables to point to your OmniRoute instance. First, install Claude from the official quickstart guide:

Claude Code Quickstart Documentation

After installation, set the following environment variables in your terminal:

For Windows (PowerShell):

$env:CLAUDE_CONFIG_DIR = "$HOME\.claude-omniroute"
$env:ANTHROPIC_BASE_URL = "http://localhost:20128"
$env:ANTHROPIC_AUTH_TOKEN = "API_Key_You_Created"
$env:ANTHROPIC_API_KEY = ""
$env:ANTHROPIC_MODEL = "Combo_Name"

For Linux/macOS (Bash):

export CLAUDE_CONFIG_DIR="$HOME/.claude-omniroute"
export ANTHROPIC_BASE_URL="http://localhost:20128"
export ANTHROPIC_AUTH_TOKEN="API_Key_You_Created"
export ANTHROPIC_API_KEY=""
export ANTHROPIC_MODEL="Combo_Name"

          Important Notes:
          Replace API_Key_You_Created with the key generated in Step 9
Replace Combo_Name with the name of the combo you created in Step 8
Leave ANTHROPIC_API_KEY empty (empty string)
If all variables are set correctly, the terminal will return no output

        

You can now launch Claude Code. It will display the combo model you configured as the active model:

Claude running with OmniRoute combo model

Figure 15: Claude Code running with OmniRoute combo model active

Key Benefits of This Setup

Unified Interface: Access multiple AI models through a single endpoint
Load Balancing: RoundRobin strategy distributes requests across models
Automatic Fallback: If one provider fails, requests route to the next model
Cost Optimization: Mix free and paid providers for cost-effective scaling
Flexibility: Easily add, remove, or reorder providers and models

Recommended Resources:
OmniRoute GitHub Repository – Complete source code and detailed documentation

All Articles