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## Why This adds the `remote_compaction_v2` client path so remote compaction can run through the normal Responses stream and install a `context_compaction` item that trigger a compaction. The goal is to migrate some of the compaction logic on the client side We keeps the v2 transport behind a feature flag while letting follow-up requests reuse the compacted context instead of falling back to the legacy compaction item shape. ## What changed - add `ResponseItem::ContextCompaction` and refresh the generated app-server / schema / TypeScript fixtures that expose response items on the wire - add `core/src/compact_remote_v2.rs` to send compaction through the standard streamed Responses client, require exactly one `context_compaction` output item, and install that item into compacted history - route manual compact and auto-compaction through the v2 path when `remote_compaction_v2` is enabled, while keeping the existing remote compaction path as the fallback - preserve the new item type across history retention, follow-up request construction, telemetry, rollout persistence, and rollout-trace normalization - add targeted coverage for the feature flag, `context_compaction` serialization, rollout-trace normalization, and remote-compaction follow-up behavior ## Verification - added protocol tests for `context_compaction` serialization/deserialization in `protocol/src/models.rs` - added rollout-trace coverage for `context_compaction` normalization in `rollout-trace/src/reducer/conversation_tests.rs` - added remote compaction integration coverage for v2 follow-up reuse and mixed compaction output streams in `core/tests/suite/compact_remote.rs` --------- Co-authored-by: Codex <noreply@openai.com>
d927f61208
·
2026-05-04 14:15:01 +02:00
6,105 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.