Agent IDE — Codex fork for AI-native development environment
4d9d4b7b0f
## What is flaky The approval-matrix `WriteFile` scenario is flaky. It sometimes fails in CI even though the approval logic is unchanged, because the test delegates the file write and readback to shell parsing instead of deterministic file I/O. ## Why it was flaky The test generated a command shaped like `printf ... > file && cat file`. That means the scenario depended on shell quoting, redirection, newline handling, and encoding behavior in addition to the approval system it was actually trying to validate. If the shell interpreted the payload differently, the test would report an approval failure even though the product logic was fine. That also made failures hard to diagnose, because the test did not log the exact generated command or the parsed result payload. ## How this PR fixes it This PR replaces the shell-redirection path with a deterministic `python3 -c` script that writes the file with `Path.write_text(..., encoding='utf-8')` and then reads it back with the same UTF-8 path. It also logs the generated command and the resulting exit code/stdout for the approval scenario so any future failure is directly attributable. ## Why this fix fixes the flakiness The scenario no longer depends on shell parsing and redirection semantics. The file contents are produced and read through explicit UTF-8 file I/O, so the approval test is measuring approval behavior instead of shell behavior. The added diagnostics mean a future failure will show the exact command/result pair instead of looking like a generic intermittent mismatch. Co-authored-by: Ahmed Ibrahim <219906144+aibrahim-oai@users.noreply.github.com> Co-authored-by: Codex <noreply@openai.com> |
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| .devcontainer | ||
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| codex-cli | ||
| codex-rs | ||
| docs | ||
| patches | ||
| scripts | ||
| sdk | ||
| shell-tool-mcp | ||
| third_party | ||
| tools/argument-comment-lint | ||
| .bazelignore | ||
| .bazelrc | ||
| .bazelversion | ||
| .codespellignore | ||
| .codespellrc | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmrc | ||
| .prettierignore | ||
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| AGENTS.md | ||
| announcement_tip.toml | ||
| BUILD.bazel | ||
| CHANGELOG.md | ||
| cliff.toml | ||
| defs.bzl | ||
| flake.lock | ||
| flake.nix | ||
| justfile | ||
| LICENSE | ||
| MODULE.bazel | ||
| MODULE.bazel.lock | ||
| NOTICE | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| rbe.bzl | ||
| README.md | ||
| SECURITY.md | ||
| workspace_root_test_launcher.bat.tpl | ||
| workspace_root_test_launcher.sh.tpl | ||
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, Team, 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.