mirror of
https://github.com/pchuan98/codex.git
synced 2026-07-01 00:31:56 +08:00
Rasmus Rygaard
7b994100b3
## Why Cloud-hosted sessions need a way for the service that starts or manages a thread to provide session-owned config without treating all config as if it came from the same user/project/workspace TOML stack. The important boundary is ownership: some values should be controlled by the session/orchestrator, some by the authenticated user, and later some may come from the executor. The earlier broad config-store shape made that boundary too fuzzy and overlapped heavily with the existing filesystem-backed config loader. This PR starts with the smaller piece we need now: a typed session config loader that can feed the existing config layer stack while preserving the normal precedence and merge behavior. ## What Changed - Added `ThreadConfigLoader` and related typed payloads in `codex-config`. - `SessionThreadConfig` currently supports `model_provider`, `model_providers`, and feature flags. - `UserThreadConfig` is present as an ownership boundary, but does not yet add TOML-backed fields. - `NoopThreadConfigLoader` preserves existing behavior when no external loader is configured. - `StaticThreadConfigLoader` supports tests and simple callers. - Taught thread config sources to produce ordinary `ConfigLayerEntry` values so the existing `ConfigLayerStack` remains the place where precedence and merging happen. - Wired the loader through `ConfigBuilder`, the config loader, and app-server startup paths so app-server can provide session-owned config before deriving a thread config. - Added coverage for: - translating typed thread config into config layers, - inserting thread config layers into the stack at the right precedence, - applying session-provided model provider and feature settings when app-server derives config from thread params. ## Follow-Ups This intentionally stops short of adding the remote/service transport. The next pieces are expected to be: 1. Define the proto/API shape for this interface. 2. Add a client implementation that can source session config from the service side. ## Verification - Added unit coverage in `codex-config` for the loader and layer conversion. - Added `codex-core` config loader coverage for thread config layer precedence. - Added app-server coverage that verifies session thread config wins over request-provided config for model provider and feature settings.
7b994100b3
·
2026-04-20 23:05:49 +00:00
5,590 Commits
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.