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Replace the old cloud requirements runtime path with the unified cloud config bundle loader. Config construction now receives a CloudConfigBundleLoader and uses the shared bundle for both cloud-delivered requirements and cloud-delivered config layers, so config and requirements consumers do not race separate backend fetches. Remove the codex-cloud-requirements crate and legacy CloudRequirementsLoader surface. The new path preserves the existing pull-based load behavior and routes managed requirements through the same composed requirements model while enterprise-managed config fragments are inserted below user/profile/project/session config and above system config. Legacy MDM-delivered managed_config.toml remains the highest-precedence compatibility layer while it is phased out. Thread the bundle loader through app-server, app-server-client, TUI, core config construction, exec, hooks, network proxy loading, and related tests. Update config-manager error handling and tests to report cloudConfigBundle load failures consistently, and update the loader README to describe the new public argument and the effective config-layer precedence. Refresh generated Python SDK protocol artifacts from the local app-server schema so downstream clients know about enterpriseManaged config layers and the cloudManagedConfig hook source. The normal SDK generate-types command still targets the pinned runtime package, so this checkpoint regenerated v2_all.py from the checked-in local schema for the branch-local protocol changes. Add codex_config::test_support::CloudConfigBundleFixture to centralize cloud bundle test setup. The fixture supports quick single-layer enterprise requirement/config loaders, additive enterprise requirement/config layers for multi-layer tests, and conversion into either a bundle or loader, removing copied private helpers from core and app-server tests. Verification: just fmt; just fix -p codex-config; cargo test -p codex-config test_support; cargo test -p codex-core cloud_config_bundle_take_precedence_over_mdm_requirements; cargo test -p codex-app-server write_value_rejects_feature_requirement_conflict; git diff --cached --check. Earlier checkpoint verification also covered codex-cloud-config, codex-backend-client, codex-hooks, codex-core-plugins, selected codex-core cloud config tests, selected codex-app-server cloud config tests, bazel lock update/check, and a Python SDK smoke test for enterpriseManaged and cloudManagedConfig.
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
Run the following on Mac or Linux to install Codex CLI:
curl -fsSL https://chatgpt.com/codex/install.sh | sh
Run the following on Windows to install Codex CLI:
powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"
Codex CLI can also be installed via the following package managers:
# 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.
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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.