Agent IDE — Codex fork for AI-native development environment
ab99df0694
## WHAT?
- Bias aggregated output toward stderr under contention (2/3 stderr, 1/3
stdout) while keeping the 1 MiB cap.
- Rebalance unused stderr share back to stdout when stderr is tiny to
avoid underfilling.
- Add tests for contention, small-stderr rebalance, and under-cap
ordering (stdout then stderr).
## WHY?
- Review feedback requested stderr priority under contention.
- Avoid underfilled aggregated output when stderr is small while
preserving a consistent cap across exec paths.
## HOW?
- Update `aggregate_output` to compute stdout/stderr shares, then
reassign unused capacity to the other stream.
- Use the helper in both Windows and async exec paths.
- Add regression tests for contention/rebalance and under-cap ordering.
## BEFORE
```rust
// Best-effort aggregate: stdout then stderr (capped).
let mut aggregated = Vec::with_capacity(
stdout
.text
.len()
.saturating_add(stderr.text.len())
.min(EXEC_OUTPUT_MAX_BYTES),
);
append_capped(&mut aggregated, &stdout.text, EXEC_OUTPUT_MAX_BYTES);
append_capped(&mut aggregated, &stderr.text, EXEC_OUTPUT_MAX_BYTES);
let aggregated_output = StreamOutput {
text: aggregated,
truncated_after_lines: None,
};
```
## AFTER
```rust
fn aggregate_output(
stdout: &StreamOutput<Vec<u8>>,
stderr: &StreamOutput<Vec<u8>>,
) -> StreamOutput<Vec<u8>> {
let total_len = stdout.text.len().saturating_add(stderr.text.len());
let max_bytes = EXEC_OUTPUT_MAX_BYTES;
let mut aggregated = Vec::with_capacity(total_len.min(max_bytes));
if total_len <= max_bytes {
aggregated.extend_from_slice(&stdout.text);
aggregated.extend_from_slice(&stderr.text);
return StreamOutput {
text: aggregated,
truncated_after_lines: None,
};
}
// Under contention, reserve 1/3 for stdout and 2/3 for stderr; rebalance unused stderr to stdout.
let want_stdout = stdout.text.len().min(max_bytes / 3);
let want_stderr = stderr.text.len();
let stderr_take = want_stderr.min(max_bytes.saturating_sub(want_stdout));
let remaining = max_bytes.saturating_sub(want_stdout + stderr_take);
let stdout_take = want_stdout + remaining.min(stdout.text.len().saturating_sub(want_stdout));
aggregated.extend_from_slice(&stdout.text[..stdout_take]);
aggregated.extend_from_slice(&stderr.text[..stderr_take]);
StreamOutput {
text: aggregated,
truncated_after_lines: None,
}
}
```
## TESTS
- [x] `just fmt`
- [x] `just fix -p codex-core`
- [x] `cargo test -p codex-core aggregate_output_`
- [x] `cargo test -p codex-core`
- [x] `cargo test --all-features`
## FIXES
Fixes #9758
|
||
|---|---|---|
| .devcontainer | ||
| .github | ||
| .vscode | ||
| codex-cli | ||
| codex-rs | ||
| docs | ||
| patches | ||
| scripts | ||
| sdk/typescript | ||
| shell-tool-mcp | ||
| third_party/wezterm | ||
| .bazelignore | ||
| .bazelrc | ||
| .bazelversion | ||
| .codespellignore | ||
| .codespellrc | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc.toml | ||
| 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 | ||
| PNPM.md | ||
| rbe.bzl | ||
| README.md | ||
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 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.