## Summary
Startup tool construction currently depends on connector directory
metadata for `tool_suggest` discoverables. On a cold directory cache,
that can put slow connector-directory requests on the blocking path even
though the tools array only needs directory data for install
suggestions, not for the live connector MCP tools themselves.
This PR keeps the discoverables path off that cold network fetch:
- read connector directory metadata from cache only when building
discoverable tools
- persist connector directory metadata to
`~/.codex/cache/codex_app_directory/<hash>.json` and use it to hydrate
the in-memory cache on later runs before the normal refresh path updates
it
- use connector-directory-specific cache naming to distinguish this
metadata cache from the separate Codex Apps tools-spec cache
This reduces first-turn startup work without changing how live connector
MCP tools are sourced. Longer term, directory-backed install suggestions
should move to a search-based flow so they no longer need to be inlined
into the tools prompt at all.
## Testing
- `cargo test -p codex-connectors`
- `cargo test -p codex-chatgpt`
- `cargo test -p codex-core
request_plugin_install_is_available_without_search_tool_after_discovery_attempts`
- `cargo test -p codex-core
tool_suggest_uses_connector_id_fallback_when_directory_cache_is_empty`
## Summary
In https://github.com/openai/codex/pull/21584, we disabled doctests for
crates that lack any doctests. We can enforce that property via `cargo
shear --deny-warnings`: crates that lack doctests will be flagged if
doctests are enabled, and crates with doctests will be flagged if
doctests are disabled.
A few additional notes:
- By adding `--deny-warnings`, `cargo shear` also flagged a number of
modules that were not reachable at all. Some of those have been removed.
- This PR removes a usage of `windows_modules!` (since `cargo shear` and
`rustfmt` couldn't see through it) in favor of simple `#[cfg(target_os =
"windows")]` macros. As a consequence, many of these files exhibit churn
in this PR, since they weren't being formatted by `rustfmt` at all on
main.
- Again, to make the code more analyzable, this PR also removes some
usages of `#[path = "cwd_junction.rs"]` in favor of a more standard
module structure. The bin sidecar structure is still retained, but,
e.g., `windows-sandbox-rs/src/bin/command_runner.rs` was moved to
`windows-sandbox-rs/src/bin/command_runner/main.rs`, and so on.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
The legacy `AfterToolUse` hook path was still wired through core tool
dispatch even though the hooks registry never populated any handlers for
it. The supported hook surface is `PostToolUse`, so the old
infrastructure was dead code on the hot path.
## What changed
- Removed the legacy `AfterToolUse` dispatch from `codex-core` tool
execution.
- Removed the unused legacy hook payload types and exports from
`codex-hooks`.
- Simplified legacy notify handling now that `HookEvent` only carries
`AfterAgent`.
## Validation
- `cargo test -p codex-hooks`
- `cargo test -p codex-core registry`
## Why
`apply_patch` is now a freeform/custom tool. Keeping the old
JSON/function-style registration and parsing path left another way for
models and tests to invoke `apply_patch`, which made the tool surface
harder to reason about.
## What changed
- Removed the `ApplyPatchToolType::Function` variant, JSON `apply_patch`
spec, and handler support for function payloads.
- Kept `apply_patch_tool_type = freeform` as the supported model
metadata path, including Bedrock catalog metadata.
- Migrated `apply_patch` tests and SSE fixtures to custom/freeform tool
calls.
## Verification
- `cargo test -p codex-tools -p codex-protocol -p codex-model-provider`
- `cargo test -p codex-core tools::handlers::apply_patch --lib`
- `cargo test -p codex-core --test all
apply_patch_tool_executes_and_emits_patch_events`
- `cargo test -p codex-core --test all
apply_patch_reports_parse_diagnostics`
- `cargo test -p codex-exec test_apply_patch_tool`
- `just fix -p codex-core`
- `just fix -p codex-tools -p codex-protocol -p codex-model-provider -p
codex-exec`
## Summary
TL;DR: teaches `codex-rs` / app-server to request a desktop-provided
attestation token and attach it as `x-oai-attestation` on the scoped
ChatGPT Codex request paths.

## Details
This PR teaches the Codex app-server runtime how to request and attach
an attestation token. It does not generate DeviceCheck tokens directly;
instead, it relies on the connected desktop app to advertise that it can
generate attestation and then asks that app for a fresh header value
when needed.
The flow is:
1. The Codex desktop app connects to app-server.
2. During `initialize`, the app can advertise that it supports
`requestAttestation`.
3. Before app-server calls selected ChatGPT Codex endpoints, it sends
the internal server request `attestation/generate` to the app.
4. app-server receives a pre-encoded header value back.
5. app-server forwards that value as `x-oai-attestation` on the scoped
outbound requests.
The code in this repo is mostly protocol and runtime plumbing: it adds
the app-server request/response shape, introduces an attestation
provider in core, wires that provider into Responses / compaction /
realtime setup paths, and covers the intended scoping with tests. The
signed macOS DeviceCheck generation remains owned by the desktop app PR.
## Related PR
- Codex desktop app implementation:
https://github.com/openai/openai/pull/878649
## Validation
<details>
<summary>Tests run</summary>
```sh
cargo test -p codex-app-server-protocol
cargo test -p codex-core attestation --lib
cargo test -p codex-app-server --lib attestation
```
Also ran:
```sh
just fix -p codex-core
just fix -p codex-app-server
just fix -p codex-app-server-protocol
just fmt
just write-app-server-schema
```
</details>
<details>
<summary>E2E DeviceCheck validation</summary>
First validated the signed desktop app boundary directly: launched a
packaged signed `Codex.app`, sent `attestation/generate`, decoded the
returned `v1.` attestation header, and validated the extracted
DeviceCheck token with `personal/jm/verify_devicecheck_token.py` using
bundle ID `com.openai.codex`. Apple returned `status_code: 200` and
`is_ok: true`.
Then ran the fuller app + app-server flow. The packaged `Codex.app`
launched a current-branch app-server via `CODEX_CLI_PATH`, and a local
MITM proxy intercepted outbound `chatgpt.com` traffic. The app-server
requested `attestation/generate` from the real Electron app process, and
the intercepted `/backend-api/codex/responses` traffic included
`x-oai-attestation` on both routes:
```text
GET /backend-api/codex/responses Upgrade: websocket x-oai-attestation: present
POST /backend-api/codex/responses Upgrade: none x-oai-attestation: present
```
The captured header decoded to a DeviceCheck token that also validated
with Apple for `com.openai.codex` (`status_code: 200`, `is_ok: true`,
team `2DC432GLL2`).
</details>
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
`ToolName::display()` made it too easy to flatten tool identity and
accidentally compare rendered strings. Tool identity should stay
structural until a legacy string boundary actually requires the
flattened spelling.
## What
- Removes `ToolName::display()` and relies on the existing `Display`
impl for messages and errors.
- Adds structural ordering for `ToolName` and uses it for
sorting/deduping deferred tools.
- Carries `ToolName` through tool/sandbox plumbing, flattening only at
legacy boundaries such as hook payloads, telemetry tags, and Responses
tool names.
- Updates MCP normalization tests to assert `ToolName` structure instead
of rendered strings.
## Testing
- `cargo test -p codex-mcp test_normalize_tools`
- `cargo test -p codex-core unavailable_tool`
- `just fix -p codex-protocol`
- `just fix -p codex-mcp`
- `just fix -p codex-core`
## Why
Codex assisted-code attribution needs a client-side accepted-code source
that does not upload raw code. This adds a hash-only analytics event
derived from the turn diff so downstream attribution can compare
accepted Codex lines against commit or PR diffs.
## What Changed
- Parse accepted/effective added lines from the final turn diff and emit
`codex_accepted_line_fingerprints` analytics.
- Hash repo, path, and normalized line content before upload; raw code
and raw diffs are not included in the event.
- Chunk large fingerprint payloads and send accepted-line fingerprint
events in isolated requests while preserving normal batching for other
analytics events.
- Canonicalize Git remote URLs before repo hashing so SSH/HTTPS GitHub
remotes join to the same repo hash.
- Add parser coverage for unified diff hunk lines that look like `+++`
or `---` file headers.
## Verification
- `cargo test -p codex-analytics`
- `cargo test -p codex-git-utils canonicalize_git_remote_url`
- `just fix -p codex-analytics`
- `just bazel-lock-check`
- `git diff --check`
## Why
Published Python SDK builds depend on an exact `openai-codex-cli-bin`
runtime package, but the release workflow did not publish that runtime
package to PyPI. That left the SDK packaging story incomplete: release
artifacts could produce Codex binaries, but Python users still needed a
matching wheel carrying the platform-specific runtime and helper
executables.
This PR is stacked on #21787 so release jobs can include helper binaries
in runtime wheels: Linux wheels include `bwrap` for sandbox fallback,
and Windows wheels include the signed sandbox/elevation helpers beside
`codex.exe`.
## What changed
- Builds platform-specific `openai-codex-cli-bin` wheels from signed
release binaries on macOS, Linux, and Windows release runners.
- Packages Linux `bwrap` into musllinux runtime wheels.
- Packages Windows sandbox helper executables into Windows runtime
wheels.
- Uploads runtime wheels as GitHub release assets and publishes them to
PyPI using trusted publishing from the `pypi` GitHub environment.
- Keeps the new Python runtime publish job non-blocking so failures need
follow-up but do not fail the Rust release workflow.
- Pins the PyPA publish action to the `v1.13.0` commit SHA for
reproducible release publishing.
- Documents that runtime wheels are platform wheels published through
PyPI trusted publishing.
## Testing
- `ruby -e 'require "yaml"; ARGV.each { |f| YAML.load_file(f); puts "ok
#{f}" }' .github/workflows/rust-release.yml
.github/workflows/rust-release-windows.yml`
- `git diff --check`
CI is the real end-to-end verification for the release workflow path.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
Some Codex runtime distributions need helper executables beside the main
bundled binary. Linux sandbox fallback needs a packaged `bwrap` when no
suitable system `bwrap` is available, and Windows sandbox/elevation
needs helper executables discoverable beside `codex.exe`. The checked-in
`openai-codex-cli-bin` template already packages everything under
`codex_cli_bin/bin/**`, but the staging script only copied the main
Codex binary into that directory.
This PR adds the generic staging primitive needed by release workflows
to build complete platform runtime wheels without baking
platform-specific helper names into the package template.
## What changed
- Added repeatable `stage-runtime --resource-binary` support so release
workflows can copy extra executables beside the bundled Codex binary.
- Kept resource selection in workflow code, where the platform target is
known.
- Added tests that verify resource binaries are copied into the staged
runtime package, that the wheel include config covers them, and that the
CLI forwards repeated `--resource-binary` values.
## Testing
- `uv run ruff check scripts/update_sdk_artifacts.py
tests/test_artifact_workflow_and_binaries.py`
- `uv run --extra dev pytest
tests/test_artifact_workflow_and_binaries.py::test_stage_runtime_release_copies_resource_binaries
tests/test_artifact_workflow_and_binaries.py::test_runtime_resource_binaries_are_included_by_wheel_config
tests/test_artifact_workflow_and_binaries.py::test_stage_runtime_stages_binary_without_type_generation`
Full `tests/test_artifact_workflow_and_binaries.py` still has unrelated
schema-normalization drift in the local checkout.
---------
Co-authored-by: Codex <noreply@openai.com>