Steve Coffey d47b9a8c00 Preserve early unified exec output in completion events (#47665)
## Why

Output produced before the streaming subscriber attaches can be missing from command completion events, even when it was returned to the model.

## What changed

Record the bounded completion transcript directly in `UnifiedExecProcess` as local and exec-server output arrives. Keep it independent of output polling and streaming delta delivery, and use it for completion events.

## Testing

Add regression coverage for output collected before subscription, both with and without later output. Strengthen the lifecycle test to assert that `aggregated_output` includes both early and late output.

GitOrigin-RevId: 9825acbd706dc4845837c8b4ab1347d8267ce0af
2026-09-23 20:56:32 +00:00
2026-04-24 17:49:29 -07:00
2025-04-16 12:56:08 -04:00
2025-04-16 12:56:08 -04:00
2026-04-24 17:49:29 -07:00
2026-08-21 16:45:05 +00:00

Codex CLI is a coding agent from OpenAI that runs locally on your computer.

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If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
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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"

The standalone installers download from https://releases.openai.com/codex by default and fall back to GitHub Releases if a metadata or asset download is unavailable. To force GitHub Releases, set CODEX_INSTALLER_USE_RELEASES_OPENAI_COM to false (0 and no are also accepted):

curl -fsSL https://chatgpt.com/codex/install.sh | CODEX_INSTALLER_USE_RELEASES_OPENAI_COM=false sh
$env:CODEX_INSTALLER_USE_RELEASES_OPENAI_COM='false'; 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
  • Linux
    • x86_64: codex-x86_64-unknown-linux-musl.tar.gz
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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.

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This repository is licensed under the Apache-2.0 License.

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