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Standard Compute launcher · Browser sign-in · Terminal coding agent

Use Standard Compute with Codex CLI

OpenAI’s open-source terminal coding agent with sandboxed local execution. Install the Standard Compute launcher, approve the browser sign-in, and Codex CLI runs on your monthly compute budget.

Standard Compute serves the OpenAI Responses API (/v1/responses), which current Codex CLI releases require for custom providers. Without the launcher, the base URL goes in ~/.codex/config.toml as a [model_providers.standardcompute] entry with base_url = "https://api.stdcmpt.com/v1", env_key = "STANDARD_COMPUTE_API_KEY" and wire_api = "responses".

Eligible new accounts can try $0.25 of compute, with no card. See trial terms →

Connect and launch

One browser sign-in covers every agent the launcher supports.

1. Install once

Install Codex CLI first if needed: npm install -g @openai/codex. Then install or update the SC launcher below.

curl -fsSL https://standardcompute.com/cli/install.sh | sh

Open a new terminal after installation. Requires Node.js 20 or newer.

2. Launch from your project folder

standardcompute launch codex

Choose an API key and approve the connection in your browser when prompted. Codex CLI opens automatically.

Use this command each time. We’ll remember your selected key.

Check the connection

Ask it to reply “OK”, then check Request Logs for the successful request and model used.

Requests use your Standard Compute budget.

Setup details for Codex CLI

  1. Install Codex CLI, then install the Standard Compute launcher.
  2. Run standardcompute launch codex and approve the browser connection.
  3. Codex uses Standard Compute for this session; your normal Codex settings are preserved.

Full in-dashboard guide → · Codex CLI docs ↗

What changes in Codex CLI

Billing
Codex CLI requests draw on one monthly compute budget, with plans from $19 a month. When the budget is used, requests stop until renewal or an upgrade, unless you turn on pay as you go.
Models
The model standardcompute picks a frontier or an efficient model for each request. An exact model ID from the Models page pins one model instead.
Good to know
Uses the Responses API. Built-in web search is disabled; sandbox and approval settings are preserved.

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