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Owen Lin
a107b84967
## Description
This PR adds canonical core `TurnItem` shapes for command execution,
dynamic tool calls, collab agent tool calls, and sub-agent activity, to
be stored in the rollout file soon.
It also teaches app-server protocol / `ThreadHistoryBuilder` how to
render those items, and adds the small legacy fanout helpers needed for
existing event-based consumers. No core producer or rollout persistence
behavior changes here, that will be done in a followup.
## Making ThreadHistoryBuilder stateless
This is the first PR in a stack to make `ThreadHistoryBuilder` stateless
enough that we can materialize app-server `ThreadItem`s from only a
given slice of `RolloutItem` history, without ever needing to replay the
whole thread from the beginning.
The persisted legacy `RolloutItem::EventMsg` records are mostly shaped
like live UI events, not like materialized `ThreadItem`s. They work if
we replay the full rollout in order, but they often do not contain
enough stable identity or complete item state to project an arbitrary
suffix on its own.
A few examples:
- `UserMessageEvent` and `AgentMessageEvent` have content, but
historically do not carry the persisted app-server item ID that should
become the SQLite primary key.
- `AgentReasoningEvent` and `AgentReasoningRawContentEvent` are
fragments. `ThreadHistoryBuilder` currently merges them into the last
reasoning item, which means a slice starting in the middle of reasoning
cannot know whether to append to an earlier item or create a new one.
- `WebSearchEndEvent`, `McpToolCallEndEvent`, collab end events, and
similar legacy events can often render a final-looking item, but they
usually rely on prior replay state to know which turn owns the item.
- Begin/end legacy events are partial views of one logical item. The
builder correlates them by `call_id` and mutates prior state to
synthesize the final `ThreadItem`.
That is the problem this direction fixes. A persisted canonical
lifecycle record looks much closer to the read model we actually want
later:
```rust
ItemCompletedEvent {
turn_id,
item: TurnItem { id, ...full snapshot... },
completed_at_ms,
}
```
Once rollout has explicit `turn_id`, stable `item.id`, and a canonical
completed item snapshot, the future SQLite projector can reduce only the
new rollout suffix and upsert the affected `thread_items` rows. It no
longer needs to synthesize `item-N`, infer item ownership from the
active turn, or replay earlier events just to reconstruct the current
item snapshot.
## What changed
- Added core `TurnItem` variants and item structs for command execution,
dynamic tool calls, collab agent tool calls, and sub-agent activity.
- Added conversions from those canonical items back into the legacy
event shapes where current consumers still need them.
- Added app-server v2 `ThreadItem` conversion for the new core item
variants.
- Taught `ThreadHistoryBuilder` and rollout persistence metrics to
recognize the new item variants.
## Follow-up
The next PR https://github.com/openai/codex/pull/30283 switches the live
core producers for these item families onto canonical `ItemStarted` /
`ItemCompleted` events.
a107b84967
·
2026-06-26 16:44:34 -07:00
7,900 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.