Handle null tool arguments in the MCP resource handler so optional
resource tools accept null without failing, preserving normal JSON
parsing for non-null payloads and improving robustness when models emit
null; this avoids spurious argument parse errors for list/read MCP
resource calls.
Elevated Sandbox NUX:
* prompt for elevated sandbox setup when agent mode is selected (via
/approvals or at startup)
* prompt for degraded sandbox if elevated setup is declined or fails
* introduce /elevate-sandbox command to upgrade from degraded
experience.
This seems to be necessary to get the Bazel builds on ARM Linux to go
green on https://github.com/openai/codex/pull/8875.
I don't feel great about timeout-whack-a-mole, but we're still learning
here...
Fix flakiness of CI test:
https://github.com/openai/codex/actions/runs/20350530276/job/58473691434?pr=8282
This PR does two things:
1. move the flakiness test to use responses API instead of chat
completion API
2. make mcp_process agnostic to the order of
responses/notifications/requests that come in, by buffering messages not
read
I have seen this test flake out sometimes when running the macOS build
using Bazel in CI: https://github.com/openai/codex/pull/8875. Perhaps
Bazel runs with greater parallelism, inducing a heavier load, causing an
issue?
Historically we started with a CodexAuth that knew how to refresh it's
own tokens and then added AuthManager that did a different kind of
refresh (re-reading from disk).
I don't think it makes sense for both `CodexAuth` and `AuthManager` to
be mutable and contain behaviors.
Move all refresh logic into `AuthManager` and keep `CodexAuth` as a data
object.
This updates core shell environment policy handling to match Windows
case-insensitive variable names and adds a Windows-only regression test,
so Path/TEMP are no longer dropped when inherit=core.
Fix flakiness of CI tests:
https://github.com/openai/codex/actions/runs/20350530276/job/58473691443?pr=8282
This PR does two things:
1. test with responses API instead of chat completions API in
thread_resume tests;
2. have a new responses API fixture that mocks out arbitrary numbers of
responses API calls (including no calls) and have the same repeated
response.
Tested by CI
**Before:**
```
Error loading configuration: value `Never` is not in the allowed set [OnRequest]
```
**After:**
```
Error loading configuration: invalid value for `approval_policy`: `Never` is not in the
allowed set [OnRequest] (set by MDM com.openai.codex:requirements_toml_base64)
```
Done by introducing a new struct `ConfigRequirementsWithSources` onto
which we `merge_unset_fields` now. Also introduces a pair of requirement
value and its `RequirementSource` (inspired by `ConfigLayerSource`):
```rust
pub struct Sourced<T> {
pub value: T,
pub source: RequirementSource,
}
```
## Summary
- avoid setting a new process group when stdio is inherited (keeps child
in foreground PG)
- keep process-group isolation when stdio is redirected so killpg
cleanup still works
- prevents macOS job-control SIGTTIN stops that look like hangs after
output
## Testing
- `cargo build -p codex-cli`
- `GIT_CONFIG_GLOBAL=/dev/null GIT_CONFIG_NOSYSTEM=1
CARGO_BIN_EXE_codex=/Users/denis/Code/codex/codex-rs/target/debug/codex
/opt/homebrew/bin/timeout 30m cargo test -p codex-core -p codex-exec`
## Context
This fixes macOS sandbox hangs for commands like `elixir -v` / `erl
-noshell`, where the child was moved into a new process group while
still attached to the controlling TTY. See issue #8690.
## Authorship & collaboration
- This change and analysis were authored by **Codex** (AI coding agent).
- Human collaborator: @seeekr provided repro environment, context, and
review guidance.
- CLI used: `codex-cli 0.77.0`.
- Model: `gpt-5.2-codex (xhigh)`.
Co-authored-by: Eric Traut <etraut@openai.com>
Include project-level AGENTS.md and skills in /review sessions so the
review sub-agent uses the same instruction pipeline as standard runs,
keeping reviewer context aligned with normal sessions.
Sort list_dir entries before applying offset/limit so pagination matches
the displayed order, update pagination/truncation expectations, and add
coverage for sorted pagination. This ensures stable, predictable
directory pages when list_dir is enabled.
Add metrics capabilities to Codex. The `README.md` is up to date.
This will not be merged with the metrics before this PR of course:
https://github.com/openai/codex/pull/8350
## Summary
This PR builds _heavily_ on the work from @occurrent in #8021 - I've
only added a small fix, added additional tests, and propagated the
changes to tui2.
From the original PR:
> On Windows, Codex relies on PasteBurst for paste detection because
bracketed paste is not reliably available via crossterm.
>
> When pasted content starts with non-ASCII characters, input is routed
through handle_non_ascii_char, which bypasses the normal paste burst
logic. This change extends the paste burst window for that path, which
should ensure that Enter is correctly grouped as part of the paste.
## Testing
- [x] tested locally cross-platform
- [x] added regression tests
---------
Co-authored-by: occur <occurring@outlook.com>
https://github.com/openai/codex/pull/8879 introduced the
`find_resource!` macro, but now that I am about to use it in more
places, I realize that it should take care of this normalization case
for callers.
Note the `use $crate::path_absolutize::Absolutize;` line is there so
that users of `find_resource!` do not have to explicitly include
`path-absolutize` to their own `Cargo.toml`.
To support Bazelification in https://github.com/openai/codex/pull/8875,
this PR introduces a new `find_resource!` macro that we use in place of
our existing logic in tests that looks for resources relative to the
compile-time `CARGO_MANIFEST_DIR` env var.
To make this work, we plan to add the following to all `rust_library()`
and `rust_test()` Bazel rules in the project:
```
rustc_env = {
"BAZEL_PACKAGE": native.package_name(),
},
```
Our new `find_resource!` macro reads this value via
`option_env!("BAZEL_PACKAGE")` so that the Bazel package _of the code
using `find_resource!`_ is injected into the code expanded from the
macro. (If `find_resource()` were a function, then
`option_env!("BAZEL_PACKAGE")` would always be
`codex-rs/utils/cargo-bin`, which is not what we want.)
Note we only consider the `BAZEL_PACKAGE` value when the `RUNFILES_DIR`
environment variable is set at runtime, indicating that the test is
being run by Bazel. In this case, we have to concatenate the runtime
`RUNFILES_DIR` with the compile-time `BAZEL_PACKAGE` value to build the
path to the resource.
In testing this change, I discovered one funky edge case in
`codex-rs/exec-server/tests/common/lib.rs` where we have to _normalize_
(but not canonicalize!) the result from `find_resource!` because the
path contains a `common/..` component that does not exist on disk when
the test is run under Bazel, so it must be semantically normalized using
the [`path-absolutize`](https://crates.io/crates/path-absolutize) crate
before it is passed to `dotslash fetch`.
Because this new behavior may be non-obvious, this PR also updates
`AGENTS.md` to make humans/Codex aware that this API is preferred.
The Bazelification work in-flight over at
https://github.com/openai/codex/pull/8832 needs this fix so that Bazel
can find the path to the DotSlash file for `bash`.
With this change, the following almost works:
```
bazel test --test_output=errors //codex-rs/exec-server:exec-server-all-test
```
That is, now the `list_tools` test passes, but
`accept_elicitation_for_prompt_rule` still fails because it runs
Seatbelt itself, so it needs to be run outside Bazel's local sandboxing.
Skills discovery now follows symlink entries for SkillScope::User
($CODEX_HOME/skills) and SkillScope::Admin (e.g. /etc/codex/skills).
Added cycle protection: directories are canonicalized and tracked in a
visited set to prevent infinite traversal from circular links.
Added per-root traversal limits to avoid accidentally scanning huge
trees:
- max depth: 6
- max directories: 2000 (logs a warning if truncated)
For now, symlink stat failures and traversal truncation are logged
rather than surfaced as UI “invalid SKILL.md” warnings.
<img width="763" height="349" alt="Screenshot 2026-01-07 at 18 37 59"
src="https://github.com/user-attachments/assets/569d01cb-ea91-4113-889b-ba74df24adaf"
/>
It may not make sense to use the `/model` menu with a custom
OPENAI_BASE_URL. But some model proxies may support it, so we shouldn't
disable it completely. A warning is a reasonable compromise.
Fixes#8609
# Summary
Emphasize single-line name/description values and quoting when values
could be interpreted as YAML syntax.
# Testing
Not run (skill-only change.)
Adds a new feature
`enable_request_compression` that will compress using zstd requests to
the codex-backend. Currently only enabled for codex-backend so only enabled for openai providers when using chatgpt::auth even when the feature is enabled
Added a new info log line too for evaluating the compression ratio and
overhead off compressing before requesting. You can enable with
`RUST_LOG=$RUST_LOG,codex_client::transport=info`
```
2026-01-06T00:09:48.272113Z INFO codex_client::transport: Compressed request body with zstd pre_compression_bytes=28914 post_compression_bytes=11485 compression_duration_ms=0
```