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## Why #29856 already owns the durable thread intent and exact environment binding. This PR adds only the small missing extension boundary: an extension can contribute one named World State section, while core still owns persistence, diffing, and model-visible fragment types. This lets skills stay in the skills extension instead of moving their runtime into core. ## Shape ```text extension-owned state | | contribute section id + JSON snapshot + renderer v core World State | | compare with the previous snapshot v no message, or one incremental model-visible update ``` The extension API is deliberately small: ```rust fn contribute_world_state(...) -> Vec<WorldStateSectionContribution> ``` Core adapts the rendered result to `ContextualUserFragment`, records the snapshot, and keeps the existing compaction/resume behavior. ## What changes - Adds extension-owned World State section contributions. - Calls those contributors from the existing per-step World State builder. - Restores durable selected capability roots into extension thread state on resume. - Keeps the actual model-context fragment and rollout machinery in core. ## What does not change - No skill or MCP implementation moves out of its extension. - No new file watcher, generation, or RPC. - No generic migration of existing World State sections. - No change to the stable environment-ID assumption from #29856. ## Example ```text step 1 snapshot: skills = [] step 2 snapshot: skills = [executor-demo:deploy] core asks the skills extension to render only that change. ``` ## Stack 1. **This PR:** let extensions contribute World State sections. 2. Project executor skills through the skills extension. 3. Pin one MCP runtime to each model step. 4. Project selected MCP/app/connector metadata by environment availability. 5. One end-to-end integration scenario.
c9e6d9783d
·
2026-06-25 22:23:51 +01:00
7,858 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.