## Summary
Fix a Bazel-only path resolution bug in
`codex_utils_cargo_bin::cargo_bin`.
Under Bazel runfiles, `rlocation` can return a relative `bazel-out/...`
path even though `cargo_bin()` documents that it returns an absolute
path. That can break callers that store the returned binary path and
later spawn it after changing cwd, because the relative path is resolved
from the wrong directory.
This patch absolutizes the runfiles-resolved path before returning it.
## Summary
- update Codex issue automation to pin `openai/codex-action` to
`5c3f4ccdb2b8790f73d6b21751ac00e602aa0c02`, the commit for `v1.7`
- keep the release intent visible with `# v1.7` comments beside the hash
pins
## Test plan
- `git diff --check`
- `yq e '.' .github/workflows/issue-labeler.yml`
- `yq e '.' .github/workflows/issue-deduplicator.yml`
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
`ReadOnlyAccess` was a transitional legacy shape on `SandboxPolicy`:
`FullAccess` meant the historical read-only/workspace-write modes could
read the full filesystem, while `Restricted` tried to carry partial
readable roots. The partial-read model now belongs in
`FileSystemSandboxPolicy` and `PermissionProfile`, so keeping it on
`SandboxPolicy` makes every legacy projection reintroduce lossy
read-root bookkeeping and creates unnecessary noise in the rest of the
permissions migration.
This PR makes the legacy policy model narrower and explicit:
`SandboxPolicy::ReadOnly` and `SandboxPolicy::WorkspaceWrite` represent
the old full-read sandbox modes only. Split readable roots, deny-read
globs, and platform-default/minimal read behavior stay in the runtime
permissions model.
## What changed
- Removes `ReadOnlyAccess` from
`codex_protocol::protocol::SandboxPolicy`, including the generated
`access` and `readOnlyAccess` API fields.
- Updates legacy policy/profile conversions so restricted filesystem
reads are represented only by `FileSystemSandboxPolicy` /
`PermissionProfile` entries.
- Keeps app-server v2 compatible with legacy `fullAccess` read-access
payloads by accepting and ignoring that no-op shape, while rejecting
legacy `restricted` read-access payloads instead of silently widening
them to full-read legacy policies.
- Carries Windows sandbox platform-default read behavior with an
explicit override flag instead of depending on
`ReadOnlyAccess::Restricted`.
- Refreshes generated app-server schema/types and updates tests/docs for
the simplified legacy policy shape.
## Verification
- `cargo check -p codex-app-server-protocol --tests`
- `cargo check -p codex-windows-sandbox --tests`
- `cargo test -p codex-app-server-protocol sandbox_policy_`
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/19449).
* #19395
* #19394
* #19393
* #19392
* #19391
* __->__ #19449
## Why
When using the Amazon Bedrock provider with `openai.gpt-5.4-cmb`, the
model picker allowed `xhigh` because the CMB catalog entry was derived
from the bundled `gpt-5.4` reasoning metadata. Bedrock rejects that
effort level, causing the request to fail before the turn can run:
```text
{"error":{"code":"validation_error","message":"Failed to deserialize the JSON body into the target type: Invalid 'reasoning': Invalid 'effort': unknown variant `xhigh`, expected one of `high`, `low`, `medium`, `minimal` at line 1 column 77239","param":null,"type":"invalid_request_error"}}
```
## What Changed
- Replace the runtime lookup of bundled `gpt-5.4` metadata for
`openai.gpt-5.4-cmb` with an explicit Bedrock CMB `ModelInfo` entry.
- Advertise only the Bedrock-supported CMB reasoning levels: `minimal`,
`low`, `medium`, and `high`.
- Keep the existing GPT OSS Bedrock model metadata and reasoning levels
unchanged.
- Add catalog coverage for the hardcoded CMB metadata and
Bedrock-compatible reasoning level list.
## Why
This prepares feedback log capture for a future remote app-server hook
sink without changing the current local SQLite upload path. The
important boundary is now intentionally small: a log sink is a tracing
`Layer` that can also flush entries it has accepted.
That keeps the existing SQLite implementation simple while giving the
upcoming gRPC sink a place to fit beside it. SQLite and gRPC have
different worker/write semantics, so this PR avoids introducing a shared
buffered-sink abstraction and instead lets each `LogWriter` own the
buffering mechanics it needs.
## What Changed
- Added `LogSinkQueueConfig` with the existing local defaults: queue
capacity `512`, batch size `128`, and flush interval `2s`.
- Added `LogDbLayer::start_with_config(...)` while preserving
`LogDbLayer::start(...)` and `log_db::start(...)` defaults.
- Introduced the `LogWriter` trait as the minimal shared interface:
`tracing_subscriber::Layer` plus `flush()`.
- Made `LogDbLayer` implement `LogWriter`.
- Kept tracing event formatting inside `LogDbLayer`; it still creates
one `LogEntry` per tracing event before queueing it for SQLite.
- Kept normal event capture best-effort and non-blocking via bounded
`try_send`.
## Behavior Notes
This does not change the SQLite schema, retention behavior,
`/feedback/upload`, or Sentry upload behavior. Normal log events still
drop when the queue is full; explicit `flush()` still waits for queue
capacity and receiver processing before returning.
## Verification
- `cargo test -p codex-state log_db`
- `cargo test -p codex-state`
- `just fix -p codex-state`
The added tests cover configured batch-size flushing, configured
interval flushing, queue-full drops, and the flush barrier semantics.
## Summary
- include the outer tool `call_id` in Codex Apps MCP request metadata
under `_meta._codex_apps.call_id`
- preserve existing Codex Apps metadata like `resource_uri` and
`contains_mcp_source`
- add request metadata coverage for both the existing-metadata and
no-existing-metadata cases
## Why
The paired backend change in
[openai/openai#850796](https://github.com/openai/openai/pull/850796)
updates MCP compliance logging to prefer `_meta._codex_apps.call_id`
instead of the JSON-RPC request id. This client change sends that outer
tool call id so the backend can record the model/tool call identifier
when it is available.
This is wire-compatible with older backends because `_meta._codex_apps`
is already reserved backend-only metadata. Backends that do not read
`call_id` will ignore the extra field.
## Testing
- `cargo test -p codex-core request_meta`
- `just fmt`
- `just fix -p codex-core`
- Add an integration test that guarantees nothing gets written to codex
home dir or sqlite when running a rollout with a non-local ThreadStore
- Add an in-memory "spy" ThreadStore for tests like this
Note I could not find a good way to also ensure there were no filesystem
_reads_ that didn't go through threadstore. I explored a more elaborate
sandboxed-subprocess approach but it isn't platform portable and felt
like it wasn't (yet) worth it.
## Summary
- Mirrors the OpenAI Docs skill cleanup in the bundled Codex skill copy
- Clarifies reasoning-effort recommendation wording
- Replaces internal snake_case prompt block names with natural-language
guidance aligned to the prompting guide
## Test plan
- `git diff --check`
- Verified the old snake_case prompt block names no longer appear in the
bundled upgrade guide
## Why
The VS Code extension and desktop app do not need the full TUI binary,
and `codex-app-server` is materially smaller than standalone `codex`. We
still want to publish it as an official release artifact, but building
it by tacking another `--bin` onto the existing release `cargo build`
invocations would lengthen those jobs.
This change keeps `codex-app-server` on its own release bundle so it can
build in parallel with the existing `codex` and helper bundles.
## What changed
- Made `.github/workflows/rust-release.yml` bundle-aware so each macOS
and Linux MUSL target now builds either the existing `primary` bundle
(`codex` and `codex-responses-api-proxy`) or a standalone `app-server`
bundle (`codex-app-server`).
- Preserved the historical artifact names for the primary macOS/Linux
bundles so `scripts/stage_npm_packages.py` and
`codex-cli/scripts/install_native_deps.py` continue to find release
assets under the paths they already expect, while giving the new
app-server artifacts distinct names.
- Added a matching `app-server` bundle to
`.github/workflows/rust-release-windows.yml`, and updated the final
Windows packaging job to download, sign, stage, and archive
`codex-app-server.exe` alongside the existing release binaries.
- Generalized the shared signing actions in
`.github/actions/linux-code-sign/action.yml`,
`.github/actions/macos-code-sign/action.yml`, and
`.github/actions/windows-code-sign/action.yml` so each workflow row
declares its binaries once and reuses that list for build, signing, and
staging.
- Added `codex-app-server` to `.github/dotslash-config.json` so releases
also publish a generated DotSlash manifest for the standalone app-server
binary.
- Kept the macOS DMG focused on the existing `primary` bundle;
`codex-app-server` ships as the regular standalone archives and DotSlash
manifest.
## Verification
- Parsed the modified workflow and action YAML files locally with
`python3` + `yaml.safe_load(...)`.
- Parsed `.github/dotslash-config.json` locally with `python3` +
`json.loads(...)`.
- Reviewed the resulting release matrices, artifact names, and packaging
paths to confirm that `codex-app-server` is built separately on macOS,
Linux MUSL, and Windows, while the existing npm staging and Windows
`codex` zip bundling contracts remain intact.
Michael Bolin