How to integrate RouterLink in Codex CLI
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Overview
This tutorial guides you through integrating RouterLink—WORLD3's decentralized AI model routing infrastructure—with Codex, a personal AI assistant you run on your own devices.
Purpose
RouterLink provides a unified API endpoint that routes requests to multiple AI model providers through a decentralized network. By integrating RouterLink with Codex, you gain access to a diverse range of large language models (LLMs) without managing multiple API keys or provider-specific configurations.
What You Will Learn
By completing this tutorial, you will:
Configure Codex to connect with RouterLink's API endpoint
Authenticate using your RouterLink API credentials with custom headers
Add and manage AI models available through the RouterLink network
Execute inference requests through Codex's conversational interface
Prerequisites
Before proceeding, ensure you have:
A RouterLink API key (obtain one from the Quick Start Guide)
A web browser with internet access
Basic familiarity with API configuration concepts
Introduction to Codex

Codex CLI is OpenAI’s coding agent that you can run locally from your terminal. It can read, change, and run code on your machine in the selected directory. It’s open source and built in Rust for speed and efficiency.Codex Key Features:
Terminal-based AI coding assistant
Natural language → code generation
Local execution with privacy
Multiple automation modes
Multi-language support
Debugging, refactoring & testing automation
Interactive workflow in CLI
Step 1: Install Codex
Install the newest LTS version of Node.js
After installation is complete, open the terminal (Windows users use PowerShell) and check the version number.
macOS, Linux, Windows:
Verify the installation.
If the version number is displayed correctly, the installation is successful.
Step 2: Configure Codex
Codex uses the config.toml file to parse provider parameters. Please locate and create/edit this file according to your operating system.
Edit or create config.toml file
On macOS & Linux: ~/.codex/config.toml
On Windows: C:\Users\<USERNAME>\.codex\config.toml
Delete the previous content and replace it with the following.Configuration file:
You can replace the "model" field with any model that is compatible with the OpenAI format.
Step 3: Codex Loading and Validation
Open the terminal (Windows users use PowerShell). Replace ${API_KEY} below with your key (obtain one from the Quick Start Guide).
macOS, Linux,
Windows PowerShell:
Launch codex
Select "Yes" to trust this folder.

Now you can use Codex.
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