linux musl build steps in `rust-release.yml` are [currently
broken](https://github.com/openai/codex/actions/runs/22367312571)
because of linking issues due to ubsan-calling types (`jitterentropy`)
leaking into the build.
add `AWS_LC_SYS_NO_JITTER_ENTROPY=1` to the musl build step to avoid
linking those ubsan-calling types. this is a more temporary fix, we need
to clean up ubsan usage upstream so they dont leak into release-build
steps anyways.
codex's more thorough explanation below:
[pr 9859](https://github.com/openai/codex/pull/9859) added [MITM
init](https://github.com/openai/codex/pull/9859/changes#diff-db782967007060c5520651633e1ea21681d64be21f2b791d3d84519860245b97R62-R68)
in network-proxy, which wires in cert generation code (rcgen/rustls).
this didnt bump/change dep versions, but it changed symbol reachability
at link time.
for musl builds, that made aws-lc-sys’s jitterentropy objects get pulled
into the final link. those objects contain UBSan calls
(__ubsan_handle_*). musl release linking is static (*-linux-musl-gcc,
-nodefaultlibs) and does not link a musl UBSan runtime, so link fails
with undefined __ubsan_*.
before, our custom musl CI UBSan steps (install libubsan1, RUSTC_WRAPPER
+ LD_PRELOAD, partial flag scrubbing) masked some sanitizer issues.
after this pr, more aws-lc code became link-reachable, and that band-aid
wasn't enough.
## Why
We already plan to remove the shell-tool MCP path, and doing that
cleanup first makes the follow-on `shell-escalation` work much simpler.
This change removes the last remaining reason to keep
`codex-rs/exec-server` around by moving the `codex-execve-wrapper`
binary and shared shell test fixtures to the crates/tests that now own
that functionality.
## What Changed
### Delete `codex-rs/exec-server`
- Remove the `exec-server` crate, including the MCP server binary,
MCP-specific modules, and its test support/test suite
- Remove `exec-server` from the `codex-rs` workspace and update
`Cargo.lock`
### Move `codex-execve-wrapper` into `codex-rs/shell-escalation`
- Move the wrapper implementation into `shell-escalation`
(`src/unix/execve_wrapper.rs`)
- Add the `codex-execve-wrapper` binary entrypoint under
`shell-escalation/src/bin/`
- Update `shell-escalation` exports/module layout so the wrapper
entrypoint is hosted there
- Move the wrapper README content from `exec-server` to
`shell-escalation/README.md`
### Move shared shell test fixtures to `app-server`
- Move the DotSlash `bash`/`zsh` test fixtures from
`exec-server/tests/suite/` to `app-server/tests/suite/`
- Update `app-server` zsh-fork tests to reference the new fixture paths
### Keep `shell-tool-mcp` as a shell-assets package
- Update `.github/workflows/shell-tool-mcp.yml` packaging so the npm
artifact contains only patched Bash/Zsh payloads (no Rust binaries)
- Update `shell-tool-mcp/package.json`, `shell-tool-mcp/src/index.ts`,
and docs to reflect the shell-assets-only package shape
- `shell-tool-mcp-ci.yml` does not need changes because it is already
JS-only
## Verification
- `cargo shear`
- `cargo clippy -p codex-shell-escalation --tests`
- `just clippy`
## Summary
Improve Bazel CI failure diagnostics by printing the tail of each failed
target’s test.log directly in the GitHub Actions output.
Today, when a large Bazel test target fails (for example tests of
`codex-core`), the workflow often only shows a target-level Exit 101
plus a path to Bazel’s test.log. That makes it hard to see the actual
failing Rust test and panic without digging into artifacts or
reproducing locally.
This change makes the workflow automatically surface that information
inline.
## What Changed
In .github/workflows/bazel.yml:
- Capture Bazel console output via tee
- Preserve the Bazel exit code when piping (PIPESTATUS[0])
- On failure:
- Parse failed Bazel test targets from FAIL: //... lines
- Resolve Bazel test log directory via bazel info bazel-testlogs
- Print tail -n 200 for each failed target’s test.log
- Group each target’s output in GitHub Actions logs (::group::)
## Bonus
Disable `experimental_remote_repo_contents_cache` to prevent "Permission
Denied"
## Summary
Install Node in the Bazel remote execution image using the version
pinned in `codex-rs/node-version.txt`.
## Why
`js_repl` tests run under Bazel remote execution and require a modern
Node runtime. Runner-level `setup-node` does not guarantee Node is
available (or recent enough) inside the remote worker container.
## What changed
- Updated `.github/workflows/Dockerfile.bazel` to install Node from
official tarballs at image build time.
- Added `xz-utils` for extracting `.tar.xz` archives.
- Copied `codex-rs/node-version.txt` into the image build context and
used it as the single source of truth for Node version.
- Added architecture mapping for multi-arch builds:
- `amd64 -> x64`
- `arm64 -> arm64`
- Verified install during image build with:
- `node --version`
- `npm --version`
## Impact
- Bazel remote workers should now have the required Node version
available for `js_repl` tests.
- Keeps Node version synchronized with repo policy via
`codex-rs/node-version.txt`.
## Testing
- Verified Dockerfile changes and build steps locally (build-time
commands are deterministic and fail fast on unsupported arch/version
fetch issues).
## Follow-up
- Rebuild and publish the Bazel runner image for both `linux/amd64` and
`linux/arm64`.
- Update image digests in `rbe.bzl` to roll out this runtime update in
CI.
#### [git stack](https://github.com/magus/git-stack-cli)
- ✅ `1` https://github.com/openai/codex/pull/12300
- ✅ `2` https://github.com/openai/codex/pull/12275
- 👉 `3` https://github.com/openai/codex/pull/12205
- ⏳ `4` https://github.com/openai/codex/pull/12185
- ⏳ `5` https://github.com/openai/codex/pull/10673
## Summary
- Updates the Linux bubblewrap sandbox args to mount a minimal `/dev`
using `--dev /dev` instead of only binding `/dev/null`. tools needing
entropy (git, crypto libs, etc.) can fail.
- Changed mount order so `--dev /dev` is added before writable-root
`--bind` mounts, preserving writable `/dev/*` submounts like `/dev/shm`
## Why
Fixes sandboxed command failures when reading `/dev/urandom` (and
similar standard device-node access).
Fixes https://github.com/openai/codex/issues/12056
## Summary
We're seeing failures for shell-tool-mcp.yml during git checkouts. This
is a quick attempt to unblock releases - we should revisit this build
pipeline since we've hit a number of errors.
## Why this change
When Cargo dependencies change, it is easy to end up with an unexpected
local diff in
`MODULE.bazel.lock` after running Bazel. That creates noisy working
copies and pushes lockfile fixes
later in the cycle. This change addresses that pain point directly.
## What this change enforces
The expected invariant is: after dependency updates, `MODULE.bazel.lock`
is already in sync with
Cargo resolution. In practice, running `bazel mod deps` should not
mutate the lockfile in a clean
state. If it does, the dependency update is incomplete.
## How this is enforced
This change adds a single lockfile check script that snapshots
`MODULE.bazel.lock`, runs
`bazel mod deps`, and fails if the file changes. The same check is wired
into local workflow
commands (`just bazel-lock-update` and `just bazel-lock-check`) and into
Bazel CI (Linux x86_64 job)
so drift is caught early and consistently. The developer documentation
is updated in
`codex-rs/docs/bazel.md` and `AGENTS.md` to make the expected flow
explicit.
`MODULE.bazel.lock` is also refreshed in this PR to match the current
Cargo dependency resolution.
## Expected developer workflow
After changing `Cargo.toml` or `Cargo.lock`, run `just
bazel-lock-update`, then run
`just bazel-lock-check`, and include any resulting `MODULE.bazel.lock`
update in the same change.
## Testing
Ran `just bazel-lock-check` locally.
…d two-pass Codex search strategy with deterministic fallback behavior,
and remove an obsolete prompt file that was no longer used.
### Changes
- Updated `workflows/issue-deduplicator.yml`:
- Added richer issue input fields (`state`, `updatedAt`, `labels`) for
model context.
- Added two candidate pools:
- `codex-existing-issues-all.json` (`--state all`)
- `codex-existing-issues-open.json` (`--state open`)
- Added body truncation during JSON preparation to reduce prompt noise.
- Added **Pass 1** Codex run over all issues.
- Added normalization/validation step for Pass 1 output:
- tolerant JSON parsing
- self-issue filtering
- deduplication
- cap to 5 results
- Added **Pass 2 fallback** Codex run over open issues only, triggered
only when Pass 1 has no usable matches.
- Added normalization/validation step for Pass 2 output (same
filtering/dedup/cap behavior).
- Added final deterministic selector:
- prefer pass 2 if it finds matches
- otherwise use pass 1
- otherwise return no matches
- Added observability logs:
- pool sizes
- per-pass parse/match status
- final pass selected and final duplicate count
- Kept public issue-comment format unchanged.
- Added comment documenting that prompt text now lives inline in
workflow.
- Deleted obsolete file:
- `/prompts/issue-deduplicator.txt`
### Behavior Impact
- Better duplicate recall when broad search fails by retrying against
active issues only.
- More deterministic/noise-resistant output handling.
- No change to workflow trigger conditions, permissions, or issue
comment structure.
## Summary
Based on our most recent [release
attempt](https://github.com/openai/codex/actions/runs/21980518940/job/63501739210)
we are not building the shell-tool-mcp job correctly. This one is
outside my expertise, but seems mostly reasonable.
## Testing
- [x] We really need dry runs of these
## Summary
CI is broken on main because our CI toolchain is trying to run 1.93.1
while our rust toolchain is locked at 1.93.0. I'm sure it's likely safe
to upgrade, but let's keep things stable for now.
## Testing
- [x] CI should hopefully pass
## Why
The `release` job in `.github/workflows/rust-release.yml` uploads
`files: dist/**` via `softprops/action-gh-release`. The downloaded
timing artifacts include multiple files with the same basename,
`cargo-timing.html` (one per target), which causes release asset
collisions/races and can fail with GitHub release-assets API `404 Not
Found` errors.
## What Changed
- Updated the existing cleanup step before `Create GitHub Release` to
remove all `cargo-timing.html` files from `dist/`.
- Removed any now-empty directories after deleting those timing files.
Relevant change:
-
https://github.com/openai/codex/blob/daba003d32f299579e9b89240aa8ebdc9f161424/.github/workflows/rust-release.yml#L423
## Verification
- Confirmed from failing release logs that multiple `cargo-timing.html`
files were being included in `dist/**` and that the release step failed
while operating on duplicate-named assets.
- Verified the workflow now deletes those files before the release
upload step, so `cargo-timing.html` is no longer part of the release
asset set.
Problem:
The `aarch64-unknown-linux-musl` release build was failing at link time
with
`/usr/bin/ld: cannot find -lcap` while building binaries that
transitively pull
in `codex-linux-sandbox`.
Why this is the right fix:
`codex-linux-sandbox` compiles vendored bubblewrap and links `libcap`.
In the
musl jobs, we were installing distro `libcap-dev`, which provides
host/glibc
artifacts. That is not a valid source of target-compatible static libcap
for
musl cross-linking, so the fix is to produce a target-compatible libcap
inside
the musl tool bootstrap and point pkg-config at it.
This also closes the CI coverage gap that allowed this to slip through:
the
`rust-ci.yml` matrix did not exercise `aarch64-unknown-linux-musl` in
`release`
mode. Adding that target/profile combination to CI is the right
regression
barrier for this class of failure.
What changed:
- Updated `.github/scripts/install-musl-build-tools.sh` to install
tooling
needed to fetch/build libcap sources (`curl`, `xz-utils`, certs).
- Added deterministic libcap bootstrap in the musl tool root:
- download `libcap-2.75` from kernel.org
- verify SHA256
- build with the target musl compiler (`*-linux-musl-gcc`)
- stage `libcap.a` and headers under the target tool root
- generate a target-scoped `libcap.pc`
- Exported target `PKG_CONFIG_PATH` so builds resolve the staged musl
libcap
instead of host pkg-config/lib paths.
- Updated `.github/workflows/rust-ci.yml` to add a `release` matrix
entry for
`aarch64-unknown-linux-musl` on the ARM runner.
- Updated `.github/workflows/rust-ci.yml` to set
`CARGO_PROFILE_RELEASE_LTO=thin` for `release` matrix entries (and keep
`fat`
for non-release entries), matching the release-build tradeoff already
used in
`rust-release.yml` while reducing CI runtime.
Verification:
- Reproduced the original failure in CI-like containers:
- `aarch64-unknown-linux-musl` failed with `cannot find -lcap`.
- Verified the underlying mismatch by forcing host libcap into the link:
- link then failed with glibc-specific unresolved symbols
(`__isoc23_*`, `__*_chk`), confirming host libcap was unsuitable.
- Verified the fix in CI-like containers after this change:
- `cargo build -p codex-linux-sandbox --target
aarch64-unknown-linux-musl --release` -> pass
- `cargo build -p codex-linux-sandbox --target x86_64-unknown-linux-musl
--release` -> pass
- Triggered `rust-ci` on this branch and confirmed the new job appears:
- `Lint/Build — ubuntu-24.04-arm - aarch64-unknown-linux-musl (release)`
## Why
We want actionable build-hotspot data from CI so we can tune Rust
workflow performance (for example, target coverage, cache behavior, and
job shape) based on actual compile-time bottlenecks.
`cargo` timing reports are lightweight and provide a direct way to
inspect where compilation time is spent.
## What Changed
- Updated `.github/workflows/rust-release.yml` to run `cargo build` with
`--timings` and upload `target/**/cargo-timings/cargo-timing.html`.
- Updated `.github/workflows/rust-release-windows.yml` to run `cargo
build` with `--timings` and upload
`target/**/cargo-timings/cargo-timing.html`.
- Updated `.github/workflows/rust-ci.yml` to:
- run `cargo clippy` with `--timings`
- run `cargo nextest run` with `--timings` (stable-compatible)
- upload `target/**/cargo-timings/cargo-timing.html` artifacts for both
the clippy and nextest jobs
Artifacts are matrix-scoped via artifact names so timings can be
compared per target/profile.
## Verification
- Confirmed the net diff is limited to:
- `.github/workflows/rust-ci.yml`
- `.github/workflows/rust-release.yml`
- `.github/workflows/rust-release-windows.yml`
- Verified timing uploads are added immediately after the corresponding
timed commands in each workflow.
- Confirmed stable Cargo accepts plain `--timings` for the compile phase
(`cargo test --no-run --timings`) and generates
`target/cargo-timings/cargo-timing.html`.
- Ran VS Code diagnostics on modified workflow files; no new diagnostics
were introduced by these changes.
## Summary
This PR removes the temporary `CODEX_BWRAP_ENABLE_FFI` flag and makes
Linux builds always compile vendored bubblewrap support for
`codex-linux-sandbox`.
## Changes
- Removed `CODEX_BWRAP_ENABLE_FFI` gating from
`codex-rs/linux-sandbox/build.rs`.
- Linux builds now fail fast if vendored bubblewrap compilation fails
(instead of warning and continuing).
- Updated fallback/help text in
`codex-rs/linux-sandbox/src/vendored_bwrap.rs` to remove references to
`CODEX_BWRAP_ENABLE_FFI`.
- Removed `CODEX_BWRAP_ENABLE_FFI` env wiring from:
- `.github/workflows/rust-ci.yml`
- `.github/workflows/bazel.yml`
- `.github/workflows/rust-release.yml`
---------
Co-authored-by: David Zbarsky <zbarsky@openai.com>
## Why
Installing `zstd` via Chocolatey in
`.github/workflows/rust-release-windows.yml` has been taking about a
minute on Windows release runs. This adds avoidable latency to each
release job.
Using DotSlash removes that package-manager install step and pins the
exact binary we use for compression.
## What Changed
- Added `.github/workflows/zstd`, a DotSlash wrapper that fetches
`zstd-v1.5.7-win64.zip` with pinned size and digest.
- Updated `.github/workflows/rust-release-windows.yml` to:
- install DotSlash via `facebook/install-dotslash@v2`
- replace `zstd -T0 -19 ...` with
`${GITHUB_WORKSPACE}/.github/workflows/zstd -T0 -19 ...`
- `windows-aarch64` uses the same win64 upstream zstd artifact because
upstream releases currently publish `win32` and `win64` binaries.
## Verification
- Verified the workflow now resolves the DotSlash file from
`${GITHUB_WORKSPACE}` while the job runs with `working-directory:
codex-rs`.
- Ran VS Code diagnostics on changed files:
- `.github/workflows/rust-release-windows.yml`
- `.github/workflows/zstd`
## Why
`rust-release` cache restore has had very low practical value, while
cache save consistently costs significant time (usually adding ~3
minutes to the critical path of a release workflow).
From successful release-tag runs with cache steps (`289` runs total):
- Alpha tags: cache download averaged ~5s/run, cache upload averaged
~230s/run.
- Stable tags: cache download averaged ~5s/run, cache upload averaged
~227s/run.
- Windows release builds specifically: download ~2s/run vs upload
~169-170s/run.
Hard step-level signal from the same successful release-tag runs:
- Cache restore (`Run actions/cache`): `2,314` steps, total `1,515s`
(~0.65s/step).
- `95.3%` of restore steps finished in `<=1s`; `99.7%` finished in
`<=2s`; `0` steps took `>=10s`.
- Cache save (`Post Run actions/cache`): `2,314` steps, total `66,295s`
(~28.65s/step).
Run-level framing:
- Download total was `<=10s` in `288/289` runs (`99.7%`).
- Upload total was `>=120s` in `285/289` runs (`98.6%`).
The net effect is that release jobs are spending time uploading caches
that are rarely useful for subsequent runs.
## What Changed
- Removed the `actions/cache@v5` step from
`.github/workflows/rust-release.yml`.
- Removed the `actions/cache@v5` step from
`.github/workflows/rust-release-windows.yml`.
- Left build, signing, packaging, and publishing flow unchanged.
## Validation
- Queried historical `rust-release` run/job step timing and compared
cache download vs upload for alpha and stable release tags.
- Spot-checked release logs and observed repeated `Cache not found ...`
followed by `Cache saved ...` patterns.
This is in response to seeing this on BuildBuddy:
> There were tests whose specified size is too big. Use the
--test_verbose_timeout_warnings command line option to see which ones
these are.
I gave Codex the following bug report about the logic to report the
host's resources introduced in
https://github.com/openai/codex/pull/11488 and this PR is its proposed
fix.
The fix seems like an escaping issue, mostly.
---
The logic to print out the runner specs has an awk error on Mac:
```
Runner: GitHub Actions 1014936475
OS: macOS 15.7.3
Hardware model: VirtualMac2,1
CPU architecture: arm64
Logical CPUs: 5
Physical CPUs: 5
awk: syntax error at source line 1
context is
{printf >>> \ <<< "%.1f GiB\\n\", $1 / 1024 / 1024 / 1024}
awk: illegal statement at source line 1
Total RAM:
Disk usage:
Filesystem Size Used Avail Capacity iused ifree %iused Mounted on
/dev/disk3s5 320Gi 237Gi 64Gi 79% 2.0M 671M 0% /System/Volumes/Data
```
as well as Linux:
```
Runner: GitHub Actions 1014936469
OS: Linux runnervmwffz4 6.11.0-1018-azure #18~24.04.1-Ubuntu SMP Sat Jun 28 04:46:03 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
awk: cmd. line:1: /Model name/ {gsub(/^[ \t]+/,\"\",$2); print $2; exit}
awk: cmd. line:1: ^ backslash not last character on line
CPU model:
Logical CPUs: 4
awk: cmd. line:1: /MemTotal/ {printf \"%.1f GiB\\n\", $2 / 1024 / 1024}
awk: cmd. line:1: ^ backslash not last character on line
Total RAM:
Disk usage:
Filesystem Size Used Avail Use% Mounted on
/dev/root 72G 50G 22G 70% /
```
Windows release builds were compiling and linking four release binaries
on a single runner, which slowed the release pipeline. The
Windows-specific logic also made `rust-release.yml` harder to read and
maintain.
## What Changed
- Extracted Windows release logic into a reusable workflow at
`.github/workflows/rust-release-windows.yml`.
- Updated `.github/workflows/rust-release.yml` to call the reusable
Windows workflow via `workflow_call`.
- Parallelized Windows binary builds with one 4-entry matrix over two
targets (`x86_64-pc-windows-msvc`, `aarch64-pc-windows-msvc`) and two
bundles (`primary`, `helpers`).
- Kept signing centralized per target by downloading both prebuilt
bundles and signing all four executables together.
- Preserved final release artifact behavior and filtered intermediate
`windows-binaries*` artifacts out of the published release asset set.
Windows release builds in `.github/workflows/rust-release.yml` were
still using GitHub-hosted `windows-latest` and `windows-11-arm` runners.
This change aligns release builds with the faster dedicated Codex runner
pool already used in CI, and adds machine-spec logging at startup so
runner capacity (CPU/RAM/disk) is visible in build logs.
## What Changed
- Updated the `build` job to support matrix entries that provide a full
`runs_on` object:
- `runs-on: ${{ matrix.runs_on || matrix.runner }}`
- Switched Windows release matrix entries to Codex runners:
- `windows-latest` -> `windows-x64` with:
- `group: codex-runners`
- `labels: codex-windows-x64`
- `windows-11-arm` -> `windows-arm64` with:
- `group: codex-runners`
- `labels: codex-windows-arm64`
- Updated the ARM-specific zstd install condition to match the new
runner id:
- `matrix.runner == 'windows-arm64'`
- Added early platform-specific runner diagnostics steps
(Linux/macOS/Windows) that print OS, CPU, logical CPU count, total RAM,
and disk usage.
## Summary
- detect whether BUILDBUDDY_API_KEY is present in Bazel CI
- keep existing remote BuildBuddy path when key is available
- add a local fallback path for fork PRs without secrets by clearing
remote cache/executor/BES endpoints
- document each fallback flag inline with links to Bazel docs
## Testing
- ruby -e 'require "yaml";
YAML.load_file(".github/workflows/bazel.yml"); puts "ok"'
- verified Bazel docs/flag references used in workflow comments
We are looking to speed up build times for alpha releases, but we do not
want to completely compromise on runtime performance by shipping debug
builds. This PR changes our CI so that alpha releases build with
`lto="thin"` instead of `lto="fat"`.
Specifically, this change keeps `[profile.release] lto = "fat"` as the
default in `Cargo.toml`, but overrides LTO in CI using
`CARGO_PROFILE_RELEASE_LTO`:
- `rust-release.yml`: use `thin` for `-alpha` tags, otherwise `fat`
- `shell-tool-mcp.yml`: use `thin` for `-alpha` versions, otherwise
`fat`
Tradeoffs:
- Alpha binaries may be somewhat larger and/or slightly slower than
fat-LTO builds
- LTO policy now lives in workflow logic for two pipelines, so
consistency must be maintained across both files
Note `CARGO_PROFILE_<name>_LTO` is documented on
https://doc.rust-lang.org/cargo/reference/environment-variables.html#configuration-environment-variables.
https://github.com/openai/codex/pull/11318 introduced logic to publish
platform artifacts as separate npm packages (for example,
`@openai/codex-darwin-arm64`, `@openai/codex-linux-x64`, etc.). That
requires provisioning and maintaining multiple package entries in npm,
which we want to avoid.
We still need to keep the package-size mitigation (platform-specific
payloads), but we want that layout to live under a single npm package
namespace (`@openai/codex`) using dist-tags.
We also need to preserve pre-release workflows where users install
`@openai/codex@alpha` and get platform-appropriate binaries.
Additionally, we want GitHub Release assets to group Codex npm tarballs
together, so platform tarballs should follow the same `codex-npm-*`
filename prefix as the main Codex tarball.
## Release Strategy (New Scheme)
We publish **one npm package name for Codex binaries** (`@openai/codex`)
and use **dist-tags** to select platform-specific payloads. This avoids
creating separate platform package names while keeping the package size
split by platform.
### What gets published
#### Mainline release (`x.y.z`)
- `@openai/codex@latest` (meta package)
- `@openai/codex@darwin-arm64`
- `@openai/codex@darwin-x64`
- `@openai/codex@linux-arm64`
- `@openai/codex@linux-x64`
- `@openai/codex@win32-arm64`
- `@openai/codex@win32-x64`
- `@openai/codex-responses-api-proxy@latest`
- `@openai/codex-sdk@latest`
#### Alpha release (`x.y.z-alpha.N`)
- `@openai/codex@alpha` (meta package)
- `@openai/codex@alpha-darwin-arm64`
- `@openai/codex@alpha-darwin-x64`
- `@openai/codex@alpha-linux-arm64`
- `@openai/codex@alpha-linux-x64`
- `@openai/codex@alpha-win32-arm64`
- `@openai/codex@alpha-win32-x64`
- `@openai/codex-responses-api-proxy@alpha`
- `@openai/codex-sdk@alpha`
As an example, the `package.json` for `@openai/codex@alpha` (using
`0.99.0-alpha.17` as the `version`) would be:
```
{
"name": "@openai/codex",
"version": "0.99.0-alpha.17",
"license": "Apache-2.0",
"bin": {
"codex": "bin/codex.js"
},
"type": "module",
"engines": {
"node": ">=16"
},
"files": [
"bin"
],
"repository": {
"type": "git",
"url": "git+https://github.com/openai/codex.git",
"directory": "codex-cli"
},
"packageManager": "pnpm@10.28.2+sha512.41872f037ad22f7348e3b1debbaf7e867cfd448f2726d9cf74c08f19507c31d2c8e7a11525b983febc2df640b5438dee6023ebb1f84ed43cc2d654d2bc326264",
"optionalDependencies": {
"@openai/codex-linux-x64": "npm:@openai/codex@0.99.0-alpha.17-linux-x64",
"@openai/codex-linux-arm64": "npm:@openai/codex@0.99.0-alpha.17-linux-arm64",
"@openai/codex-darwin-x64": "npm:@openai/codex@0.99.0-alpha.17-darwin-x64",
"@openai/codex-darwin-arm64": "npm:@openai/codex@0.99.0-alpha.17-darwin-arm64",
"@openai/codex-win32-x64": "npm:@openai/codex@0.99.0-alpha.17-win32-x64",
"@openai/codex-win32-arm64": "npm:@openai/codex@0.99.0-alpha.17-win32-arm64"
}
}
```
Note that the keys in `optionalDependencies` have "clean" names, but the
values have the tag embedded.
### Important note
**Note:** Because we never created the new platform package names on npm
(for example,
`@openai/codex-darwin-arm64`) since #11318 landed, there are no extra
npm packages to clean up.
## What changed
### 1. Stage platform tarballs as `@openai/codex` with platform-specific
versions
File: `codex-cli/scripts/build_npm_package.py`
- Added `CODEX_NPM_NAME = "@openai/codex"` and platform metadata
`npm_tag` values:
- `darwin-arm64`, `darwin-x64`, `linux-arm64`, `linux-x64`,
`win32-arm64`, `win32-x64`
- For platform package staging (`codex-<platform>` inputs), switched
generated `package.json` from:
- `name = @openai/codex-<platform>`
to:
- `name = @openai/codex`
- Added `compute_platform_package_version(version, platform_tag)` so
platform tarballs have unique
versions (`<release-version>-<platform-tag>`), which is required because
npm forbids re-publishing
the same `name@version`.
### 2. Point meta package optional dependencies at dist-tags on
`@openai/codex`
File: `codex-cli/scripts/build_npm_package.py`
- Updated `optionalDependencies` generation for the main `codex` package
to use npm alias syntax:
- key remains alias package name (for example,
`@openai/codex-darwin-arm64`) so runtime lookup behavior is unchanged
- value now resolves to `@openai/codex` by dist-tag
- Stable releases emit tags like `npm:@openai/codex@darwin-arm64`.
- Alpha releases (`x.y.z-alpha.N`) emit tags like
`npm:@openai/codex@alpha-darwin-arm64`.
### 3. Publish with per-tarball dist-tags in release CI
File: `.github/workflows/rust-release.yml`
- Reworked npm publish logic to derive the publish tag per tarball
filename:
- platform tarballs publish with `<platform>` tags for stable releases
- platform tarballs publish with `alpha-<platform>` tags for alpha
releases
- top-level tarballs (`codex`, `codex-responses-api-proxy`, `codex-sdk`)
continue using
the existing channel tag policy (`latest` implicit for stable, `alpha`
for alpha)
- Added fail-fast behavior for unexpected tarball names to avoid silent
mispublishes.
### 4. Normalize Codex platform tarball filenames for GitHub Release
grouping
Files: `scripts/stage_npm_packages.py`,
`.github/workflows/rust-release.yml`
- Renamed staged platform tarball filenames from:
- `codex-linux-<arch>-npm-<version>.tgz`
- `codex-darwin-<arch>-npm-<version>.tgz`
- `codex-win32-<arch>-npm-<version>.tgz`
- To:
- `codex-npm-linux-<arch>-<version>.tgz`
- `codex-npm-darwin-<arch>-<version>.tgz`
- `codex-npm-win32-<arch>-<version>.tgz`
This keeps all Codex npm artifacts grouped under a common `codex-npm-`
prefix in GitHub Releases.
### 5. Documentation update
File: `codex-cli/scripts/README.md`
- Updated staging docs to clarify that platform-native variants are
published as dist-tagged
`@openai/codex` artifacts rather than separate npm package names.
## Resulting behavior
- Mainline release:
- `@openai/codex@latest` resolves the meta package
- meta package optional dependencies resolve
`@openai/codex@<platform-tag>`
- Alpha release:
- users can continue installing `@openai/codex@alpha`
- alpha meta package optional dependencies resolve
`@openai/codex@alpha-<platform-tag>`
- Release assets:
- Codex npm tarballs share `codex-npm-` prefix for cleaner grouping in
GitHub Releases
This preserves platform-specific payload distribution while avoiding
separate npm package names and
improves release-asset discoverability.
## Validation notes
- Verified staged `package.json` output for stable and alpha meta
packages includes expected alias targets.
- Verified staged platform package manifests are `name=@openai/codex`
with unique platform-suffixed versions.
- Verified publish tag derivation maps renamed platform tarballs to
expected stable and alpha dist-tags.
Given that we have https://github.com/openai/codex/pull/10977, the
existing "Verify config schema fixture" step seems unnecessary. Further,
because it happens as part of the `tag-check` job (which is meant to be
fast), it slows down the entire build process because it delays the more
expensive steps from starting.
## Summary
This PR introduces a gated Bubblewrap (bwrap) Linux sandbox path. The
curent Linux sandbox path relies on in-process restrictions (including
Landlock). Bubblewrap gives us a more uniform filesystem isolation
model, especially explicit writable roots with the option to make some
directories read-only and granular network controls.
This is behind a feature flag so we can validate behavior safely before
making it the default.
- Added temporary rollout flag:
- `features.use_linux_sandbox_bwrap`
- Preserved existing default path when the flag is off.
- In Bubblewrap mode:
- Added internal retry without /proc when /proc mount is not permitted
by the host/container.
Currently, our `npm publish` logic is failing.
There were a number of things that were merged recently that seemed to
contribute to this situation, though I think we have fixed most of them,
but this one stands out:
https://github.com/openai/codex/pull/10115
As best I can tell, we tried to fix the pnpm version to a specific hash,
but we did not do it consistently (though `shell-tool-mcp/package.json`
had it specified twice...), so for this PR, I ran:
```
$ git ls-files | grep package.json
codex-cli/package.json
codex-rs/responses-api-proxy/npm/package.json
package.json
sdk/typescript/package.json
shell-tool-mcp/package.json
```
and ensured that all of them now have this line:
```json
"packageManager": "pnpm@10.28.2+sha512.41872f037ad22f7348e3b1debbaf7e867cfd448f2726d9cf74c08f19507c31d2c8e7a11525b983febc2df640b5438dee6023ebb1f84ed43cc2d654d2bc326264"
```
I also went and deleted all of the `corepack` stuff that was added by
https://github.com/openai/codex/pull/10115.
If someone can explain why we need it and verify it does not break `npm
publish`, then we can bring it back.
This updates the CI workflows for shell-tool-mcp to use the pnpm version
from package.json and print it in the build for verification.
I have read the CLA Document and I hereby sign the CLA
I needed to upgrade bazel one to get gnullvm artifacts and then noticed
monorepo had drifted forward. They should move in lockstep. Also 1.93
already shipped so we can try that instead.
Add a `.sqlite` database to be used to store rollout metatdata (and
later logs)
This PR is phase 1:
* Add the database and the required infrastructure
* Add a backfill of the database
* Persist the newly created rollout both in files and in the DB
* When we need to get metadata or a rollout, consider the `JSONL` as the
source of truth but compare the results with the DB and show any errors
sayan-oai ·
Michael Bolin ·
jif-oai ·
Curtis 'Fjord' Hawthorne ·
viyatb-oai ·
Eric Traut ·
iceweasel-oai ·
Dylan Hurd ·
Josh McKinney ·
Jeremy Rose ·
zbarsky-openai ·
mjr-openai ·