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## Why Environment context is model-visible state, but it is currently assembled from transient turn values and diffed through environment-specific paths. That makes initial injection, turn-to-turn updates, and changes that happen within a turn use different baselines. This PR introduces the smallest useful model world-state slice: environments only, with one in-memory baseline and one renderer for full state and diffs. ## What changed - Add a typed `WorldState` container whose sections render fragments relative to an optional previous value. Full rendering uses the same diff path with no previous state. - Replace the parallel `EnvironmentContext` representation with an `EnvironmentsState` section keyed by environment ID and rendered in deterministic order. - Preserve the legacy single-environment output while supporting multiple environments, starting environments, unavailable tombstones, and changes to persisted turn-context values. - Store the latest complete `WorldState` on `ContextManager` and use it for both turn-boundary and mid-turn environment diffs. - Build initial and post-compaction context from the same world-state builder, then retain the rendered state as the next baseline. - Seed the in-memory baseline from the latest `TurnContextItem` when resuming an existing rollout; the world state itself is not serialized. - Keep non-world settings updates on their existing path and merge rendered world-state fragments at the session consumer. ## Known limitation A legacy `TurnContextItem` only reconstructs the primary environment as `local`; it cannot faithfully recover a remote-primary environment ID after resume. Live state uses the exact environment IDs once a complete baseline is established. ## Test plan - `just test -p codex-core world_state` - `just test -p codex-core record_context_updates` - `just test -p codex-core deferred_executor_` - `just test -p codex-core build_initial_context` - `just test -p codex-core rollout_reconstruction` - `just test -p codex-core process_compacted_history_reinjects_full_initial_context`
3b32d861c5
·
2026-06-22 16:07:27 -07:00
7,699 Commits
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.
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.