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## Why `session_id` and `thread_id` are separate identities after #20437, but app-server only surfaced `sessionId` on the `thread/start`, `thread/resume`, and `thread/fork` response envelopes. Other thread-bearing surfaces such as `thread/list`, `thread/read`, `thread/started`, `thread/rollback`, `thread/metadata/update`, and `thread/unarchive` either lacked the grouping key or forced clients to special-case those three responses. Making `sessionId` part of the reusable `Thread` payload gives every v2 API surface one place to expose session-tree identity. ## Mental model 1. thread.sessionId lives on `Thread` 2. It is a view/runtime identity for the current live session tree, not durable stored lineage metadata 3. When app-server has a live loaded thread, it copies the real value from core’s session_configured.session_id 4. When it only has stored/unloaded data, it falls back to thread.sessionId = thread.id ## What changed - Added `sessionId` to the v2 [`Thread`](8fc9e9b4cf/codex-rs/app-server-protocol/src/protocol/v2/thread_data.rs (L105-L109)). - Removed the duplicate top-level `sessionId` fields from `thread/start`, `thread/resume`, and `thread/fork`; clients should now read `response.thread.sessionId`. - Populated `thread.sessionId` when building live thread responses, replaying loaded threads, and returning stored-thread summaries so the field is present across start, resume, fork, list, read, rollback, metadata-update, unarchive, and `thread/started` paths. See [`load_thread_from_resume_source_or_send_internal`](8fc9e9b4cf/codex-rs/app-server/src/request_processors/thread_processor.rs (L2824-L2918)) and [`thread_from_stored_thread`](8fc9e9b4cf/codex-rs/app-server/src/request_processors/thread_processor.rs (L3671-L3719)). - Preserved the stored-thread fallback: if a thread has not been loaded into a live session tree yet, `thread.sessionId` falls back to `thread.id`; once the thread is live again, the field reports the active session tree root. - Regenerated the JSON/TypeScript schemas and updated the app-server README examples to show [`thread.sessionId`](8fc9e9b4cf/codex-rs/app-server/README.md (L306-L310)) on the thread object.
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.