## Summary Fixes #15189. Custom model providers that set `requires_openai_auth = false` could only use static credentials via `env_key` or `experimental_bearer_token`. That is not enough for providers that mint short-lived bearer tokens, because Codex had no way to run a command to obtain a bearer token, cache it briefly in memory, and retry with a refreshed token after a `401`. This PR adds that provider config and wires it through the existing auth design: request paths still go through `AuthManager.auth()` and `UnauthorizedRecovery`, with `core` only choosing when to use a provider-backed bearer-only `AuthManager`. ## Scope To keep this PR reviewable, `/models` only uses provider auth for the initial request in this change. It does **not** add a dedicated `401` retry path for `/models`; that can be follow-up work if we still need it after landing the main provider-token support. ## Example Usage ```toml model_provider = "corp-openai" [model_providers.corp-openai] name = "Corp OpenAI" base_url = "https://gateway.example.com/openai" requires_openai_auth = false [model_providers.corp-openai.auth] command = "gcloud" args = ["auth", "print-access-token"] timeout_ms = 5000 refresh_interval_ms = 300000 ``` The command contract is intentionally small: - write the bearer token to `stdout` - exit `0` - any leading or trailing whitespace is trimmed before the token is used ## What Changed - add `model_providers.<id>.auth` to the config model and generated schema - validate that command-backed provider auth is mutually exclusive with `env_key`, `experimental_bearer_token`, and `requires_openai_auth` - build a bearer-only `AuthManager` for `ModelClient` and `ModelsManager` when a provider configures `auth` - let normal Responses requests and realtime websocket connects use the provider-backed bearer source through the same `AuthManager.auth()` path - allow `/models` online refresh for command-auth providers and attach the provider token to the initial `/models` request - keep `auth.cwd` available as an advanced escape hatch and include it in the generated config schema ## Testing - `cargo test -p codex-core provider_auth_command` - `cargo test -p codex-core refresh_available_models_uses_provider_auth_token` - `cargo test -p codex-core test_deserialize_provider_auth_config_defaults` ## Docs - `developers.openai.com/codex` should document the new `[model_providers.<id>.auth]` block and the token-command contract
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, Team, 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.
