## Why Model catalog responses can now advertise a nullable `default_service_tier` for each model. Codex needs to preserve three distinct states all the way from config/app-server inputs to inference: - no explicit service tier, so the client may apply the current model catalog default when FastMode is enabled - explicit `default`, meaning the user intentionally wants standard routing - explicit catalog tier ids such as `priority`, `flex`, or future tiers Keeping those states distinct prevents the UI from showing one tier while core sends another, especially after model switches or app-server `thread/start` / `turn/start` updates. ## What Changed - Plumbed `default_service_tier` through model catalog protocol types, app-server model responses, generated schemas, model cache fixtures, and provider/model-manager conversions. - Added the request-only `default` service tier sentinel and normalized legacy config spelling so `fast` in `config.toml` still materializes as the runtime/request id `priority`. - Moved catalog default resolution to the TUI/client side, including recomputing the effective service tier when model/FastMode-dependent surfaces change. - Updated app-server thread lifecycle config construction so `serviceTier: null` preserves explicit standard-routing intent by mapping to `default` instead of internal `None`. - Kept core responsible for validating explicit tiers against the current model and stripping `default` before `/v1/responses`, without applying catalog defaults itself. ## Validation - `CARGO_INCREMENTAL=0 cargo build -p codex-cli` - `CARGO_INCREMENTAL=0 cargo test -p codex-app-server model_list` - `cargo test -p codex-tui service_tier` - `cargo test -p codex-protocol service_tier_for_request` - `cargo test -p codex-core get_service_tier` - `RUST_MIN_STACK=8388608 CARGO_INCREMENTAL=0 cargo test -p codex-core service_tier`
npm i -g @openai/codex
or brew install --cask codex
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
Quickstart
Installing and running Codex CLI
Install globally with your preferred package manager:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
Then simply run codex to get started.
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.
