Codex CLI
You need a Divyam account and an API key. If you don't have them yet, follow Getting Started first.
Replace the shortened divyam-sw-v1-... shown in examples with your complete API key.
The examples use divyam-as/gpt-6-sol. For another model, select its current ID in your harness or copy it from Models and pricing, and check its context limit and supported features.
1. Install Codex CLI
Follow the official Codex CLI installation instructions.
2. Add the Divyam profile
Add these settings to ~/.codex/divyam.config.toml:
model_provider = "divyam"
web_search = "disabled"
[model_providers.divyam]
name = "Divyam"
base_url = "https://api.preview.divyam.ai/v1"
env_key = "DIVYAM_API_KEY"
wire_api = "responses"
Codex loads this file when you pass --profile divyam. Your API key selects the Divyam project for your requests.
The profile disables provider-hosted web search, which Divyam does not serve.
3. Send your first prompt
Choose a model for your Codex session:
Model ID: divyam-as/gpt-6-sol. Context window: 1,050,000 tokens. Models and pricing
From your project folder, run:
export DIVYAM_API_KEY="divyam-sw-v1-..."
codex --profile divyam --model divyam-as/gpt-6-sol
Hello, what are your capabilities?
Check your requests
Open the Divyam console and select Logs. Your requests appear there within a few seconds, newest first, with their status, token counts and latency. Usage and Credits & Billing catch up within a few minutes.
Some clients display zero when model prices are missing. Check Credits & Billing for Divyam charges. Local dollar limits depend on the client's price and usage data.
For filters, cached-token counts and the requested-versus-routed view, see Logs and usage.