Use Codex

Overview

This guide explains how to install and configure OpenAI Codex so it can call AI models via the Meteor API platform. Codex is a powerful AI coding assistant for multiple languages and environments.

Install Codex

npm install -g @openai/codex@latest

Configure Codex

Step 1: Open the config file

Config locations by OS:

Windows

C:\Users\<your user>\.codex\config.toml

macOS / Linux

~/.codex/config.toml

Tip: If the file is missing, install the VS Code Codex extension and open settings through the extension UI.

Step 2: Edit the config

Open config.toml and add:

model = "gpt-5-codex"
model_provider = "meteor-api"
disable_response_storage = true
approval_policy = "never"                  # options: "untrusted" | "on-failure" | "on-request" | "never"
sandbox_mode = "danger-full-access"

[model_providers.meteor-api]
name = "Meteor API"
base_url = "https://api.routin.ai/v1"
env_key = "OPENAI_API_KEY"
wire_api = "responses"

Notes:

model: model name to use
model_provider: custom provider name
disable_response_storage: disable storing responses
approval_policy: automation level; never runs without prompts
sandbox_mode: danger-full-access allows full access

Important: model and model_provider must be at the top of the file.

Step 3: Configure the API key

In the same directory, create or edit auth.json:

{
  "OPENAI_API_KEY": "sk-your-api-key-here"
}

Replace the key with the API key from the Meteor platform.

Verify installation

After configuring, open a terminal:

codex

If everything is correct, Codex starts in interactive mode and is ready to use.

FAQ

Config file missing

If you cannot find the config file, create it manually:

Windows

# Create config directory
mkdir %USERPROFILE%\.codex

# Create config file
notepad %USERPROFILE%\.codex\config.toml

macOS / Linux

# Create config directory
mkdir -p ~/.codex

# Create config file
nano ~/.codex/config.toml

How do I get an API key?

See the “Get API Key” section in the Claude Code guide.

Get Help

Web: https://routin.ai
API docs: https://api.routin.ai/scalar

Use Codex

On this page