- hanzo-tunnel v0.1.0 published to crates.io (was path dep to ../../../tunnel)
- cli: tunnel + tunnel-bridge deps now optional behind `tunnel` feature flag
- cli: cloud module (ZT + relay) gated with #[cfg(feature = "tunnel")]
- tunnel-bridge: all hanzo_tunnel usage gated behind `tunnel` feature
- CI: fix prettier by scoping JS globs, excluding symlinked CLAUDE.md
- CI: format all workflows and docs with prettier
- Workspace compiles clean without tunnel feature (CI default)
- Local builds with `--features tunnel` still work with crates.io dep
- ci.yml: Replace broken npm staging step (required pre-built release
binaries that don't exist for CI) with proper Node.js checks
(prettier, ASCII, README ToC), Rust build+test, and SDK TypeScript
build. Add required status check gate.
- rust-ci.yml: Replace no-op placeholder with real Rust check/test/
clippy/fmt on Linux x86_64 and macOS ARM64, triggered only on Rust
file changes.
- stage_npm_packages.py: Fix GITHUB_REPO from openai/codex to
hanzoai/dev, fix install_native_deps path (.sh not .py), support
both tag-based (v{ver}) and legacy branch-based (rust-v{ver})
workflow lookup.
Prevent binaries >500KB from being committed. And maintain an allowlist
if we need to bypass on a case-by-case basis.
I checked the currently tracked binary-like assets in the repo. There
are only 5 obvious committed binaries by extension/MIME type:
- `.github/codex-cli-splash.png`: `838,131` bytes, about `818 KiB`
- `codex-rs/vendor/bubblewrap/bubblewrap.jpg`: `40,239` bytes, about `39
KiB`
-
`codex-rs/skills/src/assets/samples/skill-creator/assets/skill-creator.png`:
`1,563` bytes
- `codex-rs/skills/src/assets/samples/openai-docs/assets/openai.png`:
`1,429` bytes
-
`codex-rs/skills/src/assets/samples/skill-installer/assets/skill-installer.png`:
`1,086` bytes
So `500 KB` looks like a good default for this repo. It would only trip
on one existing intentional asset, which keeps the allowlist small and
the policy easy to understand.
Here's a smoke-test from a throwaway branch that tries to commit a large
binary:
https://github.com/openai/codex/actions/runs/22971558828/job/66689330435?pr=14383
## Summary
- add a direct install script for Windows at
`scripts/install/install.ps1`
- extend release staging so `install.ps1` is published alongside
`install.sh`
- install the Windows runtime payload (`codex.exe`, `rg.exe`, and helper
binaries) from the existing platform npm package
## Dependencies
- Depends on https://github.com/openai/codex/pull/12740
## Testing
- Smoke-tested with powershell
## Summary
- add a direct install script for macOS and Linux at
`scripts/install/install.sh`
- stage `install.sh` into `dist/` during release so it is published as a
GitHub release asset
- reuse the existing platform npm payload so the installer includes both
`codex` and `rg`
## Testing
- `bash -n scripts/install/install.sh`
- local macOS `curl | sh` smoke test against a locally served copy of
the script
## 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.
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": "[email protected].2+sha512.41872f037ad22f7348e3b1debbaf7e867cfd448f2726d9cf74c08f19507c31d2c8e7a11525b983febc2df640b5438dee6023ebb1f84ed43cc2d654d2bc326264",
"optionalDependencies": {
"@openai/codex-linux-x64": "npm:@openai/[email protected].0-alpha.17-linux-x64",
"@openai/codex-linux-arm64": "npm:@openai/[email protected].0-alpha.17-linux-arm64",
"@openai/codex-darwin-x64": "npm:@openai/[email protected].0-alpha.17-darwin-x64",
"@openai/codex-darwin-arm64": "npm:@openai/[email protected].0-alpha.17-darwin-arm64",
"@openai/codex-win32-x64": "npm:@openai/[email protected].0-alpha.17-win32-x64",
"@openai/codex-win32-arm64": "npm:@openai/[email protected].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.
turns out the ToC was including itself when generating, which messed up
comparisons and sometimes made the file rewrite endlessly.
also fixed the slice so `<!-- End ToC -->` doesn’t get duplicated when
we insert the new ToC.
should behave nicely now - no extra rewrites, no doubled markers.
Co-authored-by: Eric Traut <[email protected]>
## Summary
- make the plan tool available by default by removing the feature flag
and always registering the handler
- drop plan-tool CLI and API toggles across the exec, TUI, MCP server,
and app server code paths
- update tests and configs to reflect the always-on plan tool and guard
workspace restriction tests against env leakage
## Testing
Manually tested the extension.
------
https://chatgpt.com/codex/tasks/task_i_68f67a3ff2d083209562a773f814c1f9
zeekay
