Update realtime debug logs to include the actual text payloads in both
input and output paths.
- In `core/src/realtime_conversation.rs`:
- `handle_start`: add extracted assistant text output to the
`[realtime-text]` debug log.
- `handle_text`: add incoming text input (`params.text`) to the
`[realtime-text]` debug log.
No tests were run (per request).
Previously, clients would call `thread/start` with dynamic_tools set,
and when a model invokes a dynamic tool, it would just make the
server->client `item/tool/call` request and wait for the client's
response to complete the tool call. This works, but it doesn't have an
`item/started` or `item/completed` event.
Now we are doing this:
- [new] emit `item/started` with `DynamicToolCall` populated with the
call arguments
- send an `item/tool/call` server request
- [new] once the client responds, emit `item/completed` with
`DynamicToolCall` populated with the response.
Also, with `persistExtendedHistory: true`, dynamic tool calls are now
reconstructable in `thread/read` and `thread/resume` as
`ThreadItem::DynamicToolCall`.
We propagate the session ID when sending requests for inference but we
don't do the same for compaction requests. This makes it hard to link
compaction requests to their session for debugging purposes
## Why
Zsh fork execution was still able to bypass the `WorkspaceWrite` model
in edge cases because the fork path reconstructed command execution
without preserving sandbox wrappers, and command extraction only
accepted shell invocations in a narrow positional shape. This can allow
commands to run with broader filesystem access than expected, which
breaks the sandbox safety model.
## What changed
- Preserved the sandboxed `ExecRequest` produced by
`attempt.env_for(...)` when entering the zsh fork path in
[`unix_escalation.rs`](https://github.com/openai/codex/blob/main/codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs).
- Updated `CoreShellCommandExecutor` to execute the sandboxed command
and working directory captured from `attempt.env_for(...)`, instead of
re-running a freshly reconstructed shell command.
- Made zsh-fork script extraction robust to wrapped invocations by
scanning command arguments for `-c`/`-lc` rather than only matching the
first positional form.
- Added unit tests in `unix_escalation.rs` to lock in wrapper-tolerant
parsing behavior and keep unsupported shell forms rejected.
- Tightened the regression in
[`skill_approval.rs`](https://github.com/openai/codex/blob/main/codex-rs/core/tests/suite/skill_approval.rs):
- `shell_zsh_fork_still_enforces_workspace_write_sandbox` now uses an
explicit `WorkspaceWrite` policy with `exclude_tmpdir_env_var: true` and
`exclude_slash_tmp: true`.
- The test attempts to write to `/tmp/...`, which is only reliably
outside writable roots with those explicit exclusions set.
## Verification
- Added and passed the new unit tests around `extract_shell_script`
parsing behavior with wrapped command shapes.
- `extract_shell_script_supports_wrapped_command_prefixes`
- `extract_shell_script_rejects_unsupported_shell_invocation`
- Verified the regression with the focused integration test:
`shell_zsh_fork_still_enforces_workspace_write_sandbox`.
## Manual Testing
Prior to this change, if I ran Codex via:
```
just codex --config zsh_path=/Users/mbolin/code/codex2/codex-rs/app-server/tests/suite/zsh --enable shell_zsh_fork
```
and asked:
```
what is the output of /bin/ps
```
it would run it, even though the default sandbox should prevent the
agent from running `/bin/ps` because it is setuid on MacOS.
But with this change, I now see the expected failure because it is
blocked by the sandbox:
```
/bin/ps exited with status 1 and produced no output in this environment.
```
Add experimental `thread/realtime/*` v2 requests and notifications, then
route app-server realtime events through that thread-scoped surface with
integration coverage.
---------
Co-authored-by: Codex <noreply@openai.com>
## Summary
- Promote `js_repl` to an experimental feature that users can enable
from `/experimental`.
- Add `js_repl` experimental metadata, including the Node prerequisite
and activation guidance.
- Add regression coverage for the feature metadata and the
`/experimental` popup.
## What Changed
- Changed `Feature::JsRepl` from `Stage::UnderDevelopment` to
`Stage::Experimental`.
- Added experimental metadata for `js_repl` in `core/src/features.rs`:
- name: `JavaScript REPL`
- description: calls out interactive website debugging, inline
JavaScript execution, and the required Node version (`>= v24.13.1`)
- announcement: tells users to enable it, then start a new chat or
restart Codex
- Added a core unit test that verifies:
- `js_repl` is experimental
- `js_repl` is disabled by default
- the hardcoded Node version in the description matches
`node-version.txt`
- Added a TUI test that opens the `/experimental` popup and verifies the
rendered `js_repl` entry includes the Node requirement text.
## Testing
- `just fmt`
- `cargo test -p codex-tui`
- `cargo test -p codex-core` (unit-test phase passed; stopped during the
long `tests/all.rs` integration suite)
**PR Summary**
This PR adds embedded-only OTEL policy audit logging for
`codex-network-proxy` and threads audit metadata from `codex-core` into
managed proxy startup.
### What changed
- Added structured audit event emission in `network_policy.rs` with
target `codex_otel.network_proxy`.
- Emitted:
- `codex.network_proxy.domain_policy_decision` once per domain-policy
evaluation.
- `codex.network_proxy.block_decision` for non-domain denies.
- Added required policy/network fields, RFC3339 UTC millisecond
`event.timestamp`, and fallback defaults (`http.request.method="none"`,
`client.address="unknown"`).
- Added non-domain deny audit emission in HTTP/SOCKS handlers for
mode-guard and proxy-state denies, including unix-socket deny paths.
- Added `REASON_UNIX_SOCKET_UNSUPPORTED` and used it for unsupported
unix-socket auditing.
- Added `NetworkProxyAuditMetadata` to runtime/state, re-exported from
`lib.rs` and `state.rs`.
- Added `start_proxy_with_audit_metadata(...)` in core config, with
`start_proxy()` delegating to default metadata.
- Wired metadata construction in `codex.rs` from session/auth context,
including originator sanitization for OTEL-safe tagging.
- Updated `network-proxy/README.md` with embedded-mode audit schema and
behavior notes.
- Refactored HTTP block-audit emission to a small local helper to reduce
duplication.
- Preserved existing unix-socket proxy-disabled host/path behavior for
responses and blocked history while using an audit-only endpoint
override (`server.address="unix-socket"`, `server.port=0`).
### Explicit exclusions
- No standalone proxy OTEL startup work.
- No `main.rs` binary wiring.
- No `standalone_otel.rs`.
- No standalone docs/tests.
### Tests
- Extended `network_policy.rs` tests for event mapping, metadata
propagation, fallbacks, timestamp format, and target prefix.
- Extended HTTP tests to assert unix-socket deny block audit events.
- Extended SOCKS tests to cover deny emission from handler deny
branches.
- Added/updated core tests to verify audit metadata threading into
managed proxy state.
### Validation run
- `just fmt`
- `cargo test -p codex-network-proxy` ✅
- `cargo test -p codex-core` ran with one unrelated flaky timeout
(`shell_snapshot::tests::snapshot_shell_does_not_inherit_stdin`), and
the test passed when rerun directly ✅
---------
Co-authored-by: viyatb-oai <viyatb@openai.com>
**PR Summary**
This PR adds the OpenTelemetry `host.name` resource attribute to Codex
OTEL exports so every OTEL log (and trace, via the shared resource)
carries the machine hostname.
**What changed**
- Added `host.name` to the shared OTEL `Resource` in
`/Users/michael.mcgrew/code/codex/codex-rs/otel/src/otel_provider.rs`
- This applies to both:
- OTEL logs (`SdkLoggerProvider`)
- OTEL traces (`SdkTracerProvider`)
- Hostname is now resolved via `gethostname::gethostname()`
(best-effort)
- Value is trimmed
- Empty values are omitted (non-fatal)
- Added focused unit tests for:
- including `host.name` when present
- omitting `host.name` when missing/empty
**Why**
- `host.name` is host/process metadata and belongs on the OTEL
`resource`, not per-event attributes.
- Attaching it in the shared resource is the smallest change that
guarantees coverage across all exported OTEL logs/traces.
**Scope / Non-goals**
- No public API changes
- No changes to metrics behavior (this PR only updates log/trace
resource metadata)
**Dependency updates**
- Added `gethostname` as a workspace dependency and `codex-otel`
dependency
- `Cargo.lock` updated accordingly
- `MODULE.bazel.lock` unchanged after refresh/check
**Validation**
- `just fmt`
- `cargo test -p codex-otel`
- `just bazel-lock-update`
- `just bazel-lock-check`
Add a stream parser to extract citations (and others) from a stream.
This support cases where markers are split in differen tokens.
Codex never manage to make this code work so everything was done
manually. Please review correctly and do not touch this part of the code
without a very clear understanding of it
This PR adds the macro `#[large_stack_test]`
This spawns the tests in a dedicated tokio runtime with a larger stack.
It is useful for tests that needs the full recursion on the harness
(which is now too deep for windows for example)
Summary
- propagate approval policy from parent to spawned agents and drop the
Never override so sub-agents respect the caller’s request
- refresh the pending-approval list whenever events arrive or the active
thread changes and surface the list above the composer for inactive
threads
- add widgets, helpers, and tests covering the new pending-thread
approval UI state
![Uploading Screenshot 2026-02-25 at 11.02.18.png…]()
## Why
`unix_escalation.rs` checks a session-scoped approval cache before
prompting again for an execve-intercepted skill script. Without also
recording `ReviewDecision::ApprovedForSession`, that cache never gets
populated, so the same skill script can still trigger repeated approval
prompts within one session.
## What Changed
- Add `execve_session_approvals` to `SessionServices` so the session can
track approved skill script paths.
- Record the script path when a skill-script prompt returns
`ReviewDecision::ApprovedForSession`, but only for the skill-script path
rather than broader prefix-rule approvals.
- Reuse the cached approval on later execve callbacks by treating an
already-approved skill script as `Decision::Allow`.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/12756).
* #12758
* __->__ #12756
Migration Behavior
* Config
* Migrates settings.json into config.toml
* Only adds fields when config.toml is missing, or when those fields are
missing from the existing file
* Supported mappings:
env -> shell_environment_policy
sandbox.enabled = true -> sandbox_mode = "workspace-write"
* Skills
* Copies home and repo .claude/skills into .agents/skills
* Existing skill directories are not overwritten
* SKILL.md content is rewritten from Claude-related terms to Codex
* AgentsMd
* Repo only
* Migrates CLAUDE.md into AGENTS.md
* Detect/import only proceed when AGENTS.md is missing or present but
empty
* Content is rewritten from Claude-related terms to Codex
Add service name to the app-server so that the app can use it's own
service name
This is on thread level because later we might plan the app-server to
become a singleton on the computer
## Summary
- Preserve each skill’s raw permissions block as a permission_profile on
SkillMetadata during skill loading.
- Keep compiling that same metadata into the existing runtime
Permissions object, so current enforcement
behavior stays intact.
- When zsh-fork intercepts execution of a script that belongs to a
skill, include the skill’s
permission_profile in the exec approval request.
- This lets approval UIs show the extra filesystem access the skill
declared when prompting for approval.
## Why
In the `shell_zsh_fork` flow, `codex-shell-escalation` receives the
executable path exactly as the shell passed it to `execve()`. That path
is not guaranteed to be absolute.
For commands such as `./scripts/hello-mbolin.sh`, if the shell was
launched with a different `workdir`, resolving the intercepted `file`
against the server process working directory makes policy checks and
skill matching inspect the wrong executable. This change pushes that fix
a step further by keeping the normalized path typed as `AbsolutePathBuf`
throughout the rest of the escalation pipeline.
That makes the absolute-path invariant explicit, so later code cannot
accidentally treat the resolved executable path as an arbitrary
`PathBuf`.
## What Changed
- record the wrapper process working directory as an `AbsolutePathBuf`
- update the escalation protocol so `workdir` is explicitly absolute
while `file` remains the raw intercepted exec path
- resolve a relative intercepted `file` against the request `workdir` as
soon as the server receives the request
- thread `AbsolutePathBuf` through `EscalationPolicy`,
`CoreShellActionProvider`, and command normalization helpers so the
resolved executable path stays type-checked as absolute
- replace the `path-absolutize` dependency in `codex-shell-escalation`
with `codex-utils-absolute-path`
- add a regression test that covers a relative `file` with a distinct
`workdir`
## Verification
- `cargo test -p codex-shell-escalation`
Direct skill-script matches force `Decision::Prompt`, so skill-backed
scripts require explicit approval before they run. (Note "allow for
session" is not supported in this PR, but will be done in a follow-up.)
In the process of implementing this, I fixed an important bug:
`ShellZshFork` is supposed to keep ordinary allowed execs on the
client-side `Run` path so later `execve()` calls are still intercepted
and reviewed. After the shell-escalation port, `Decision::Allow` still
mapped to `Escalate`, which moved `zsh` to server-side execution too
early. That broke the intended flow for skill-backed scripts and made
the approval prompt depend on the wrong execution path.
## What changed
- In `codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs`,
`Decision::Allow` now returns `Run` unless escalation is actually
required.
- Removed the zsh-specific `argv[0]` fallback. With the `Allow -> Run`
fix in place, zsh's later `execve()` of the script is intercepted
normally, so the skill match happens on the script path itself.
- Kept the skill-path handling in `determine_action()` focused on the
direct `program` match path.
## Verification
- Updated `shell_zsh_fork_prompts_for_skill_script_execution` in
`codex-rs/core/tests/suite/skill_approval.rs` (gated behind `cfg(unix)`)
to:
- run under `SandboxPolicy::new_workspace_write_policy()` instead of
`DangerFullAccess`
- assert the approval command contains only the script path
- assert the approved run returns both stdout and stderr markers in the
shell output
- Ran `cargo test -p codex-core
shell_zsh_fork_prompts_for_skill_script_execution -- --nocapture`
## Manual Testing
Run the dev build:
```
just codex --config zsh_path=/Users/mbolin/code/codex2/codex-rs/app-server/tests/suite/zsh --enable shell_zsh_fork
```
I have created `/Users/mbolin/.agents/skills/mbolin-test-skill` with:
```
├── scripts
│ └── hello-mbolin.sh
└── SKILL.md
```
The skill:
```
---
name: mbolin-test-skill
description: Used to exercise various features of skills.
---
When this skill is invoked, run the `hello-mbolin.sh` script and report the output.
```
The script:
```
set -e
# Note this script will fail if run with network disabled.
curl --location openai.com
```
Use `$mbolin-test-skill` to invoke the skill manually and verify that I
get prompted to run `hello-mbolin.sh`.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/12730).
* #12750
* __->__ #12730
## Summary
Remove js_repl/node test-skip paths and make Node setup explicit in CI
so js_repl tests always run instead of silently skipping.
## Why
We had multiple “expediency” skip paths that let js_repl tests pass
without actually exercising Node-backed behavior. This reduced CI signal
and hid runtime/environment regressions.
## What changed
### CI
- Added Node setup using `codex-rs/node-version.txt` in:
- `.github/workflows/rust-ci.yml`
- `.github/workflows/bazel.yml`
- Added a Unix PATH copy step in Bazel workflow to expose the setup-node
binary in common paths.
### js_repl test harness
- Added explicit js_repl sandbox test configuration helpers in:
- `codex-rs/core/src/tools/js_repl/mod.rs`
- `codex-rs/core/src/tools/handlers/js_repl.rs`
- Added Linux arg0 dispatch glue for js_repl tests so sandbox subprocess
entrypoint behavior is correct under Linux test execution.
### Removed skip behavior
- Deleted runtime guard function and early-return skips in js_repl tests
(`can_run_js_repl_runtime_tests` and related per-test short-circuits).
- Removed view_image integration test skip behavior:
- dropped `skip_if_no_network!(Ok(()))`
- removed “skip on Node missing/too old” branch after js_repl output
inspection.
## Impact
- js_repl/node tests now consistently execute and fail loudly when the
environment is not correctly provisioned.
- CI has stronger signal for js_repl regressions instead of false green
from conditional skips.
## Testing
- `cargo test -p codex-core` (locally) to validate js_repl
unit/integration behavior with skips removed.
- CI expected to surface any remaining environment/runtime gaps directly
(rather than masking them).
#### [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/12407
- ✅ `5` https://github.com/openai/codex/pull/12372
- 👉 `6` https://github.com/openai/codex/pull/12185
- ⏳ `7` https://github.com/openai/codex/pull/10673
## Why
`ExecApprovalRequestEvent` can carry a distinct `approval_id` for
subcommand approvals, including the `execve`-intercepted zsh-fork path.
The session registers the pending approval callback under `approval_id`
when one is present, but `ChatWidget` was stashing `call_id` in the
approval modal state. When the user approved the command in the TUI, the
response was sent back with the wrong identifier, so the pending
approval could not be matched and the approval callback would not
resolve.
Note `approval_id` was introduced in
https://github.com/openai/codex/pull/12051.
## What changed
- In `tui/src/chatwidget.rs`, `ChatWidget` now uses
`ExecApprovalRequestEvent::effective_approval_id()` when constructing
`ApprovalRequest::Exec`.
- That preserves the existing behavior for normal shell and
`unified_exec` approvals, where `approval_id` is absent and the
effective id still falls back to `call_id`.
- For subcommand approvals that provide a distinct `approval_id`, the
TUI now sends back the same key that
`Session::request_command_approval()` registered.
## Verification
- Traced the approval flow end to end to confirm the same effective
approval id is now used on both sides of the round trip:
- `Session::request_command_approval()` registers the pending callback
under `approval_id.unwrap_or(call_id)`.
- `ChatWidget` now emits `Op::ExecApproval` with that same effective id.
## Summary
Stabilize `js_repl` runtime test setup in CI and move tool-facing
`js_repl` behavior coverage into integration tests.
This is a test/CI change only. No production `js_repl` behavior change
is intended.
## Why
- Bazel test sandboxes (especially on macOS) could resolve a different
`node` than the one installed by `actions/setup-node`, which caused
`js_repl` runtime/version failures.
- `js_repl` runtime tests depend on platform-specific
sandbox/test-harness behavior, so they need explicit gating in a
base-stability commit.
- Several tests in the `js_repl` unit test module were actually
black-box/tool-level behavior tests and fit better in the integration
suite.
## Changes
- Add `actions/setup-node` to the Bazel and Rust `Tests` workflows,
using the exact version pinned in the repo’s Node version file.
- In Bazel (non-Windows), pass `CODEX_JS_REPL_NODE_PATH=$(which node)`
into test env so `js_repl` uses the `actions/setup-node` runtime inside
Bazel tests.
- Add a new integration test suite for `js_repl` tool behavior and
register it in the core integration test suite module.
- Move black-box `js_repl` behavior tests into the integration suite
(persistence/TLA, builtin tool invocation, recursive self-call
rejection, `process` isolation, blocked builtin imports).
- Keep white-box manager/kernel tests in the `js_repl` unit test module.
- Gate `js_repl` runtime tests to run only on macOS and only when a
usable Node runtime is available (skip on other platforms / missing Node
in this commit).
## Impact
- Reduces `js_repl` CI failures caused by Node resolution drift in
Bazel.
- Improves test organization by separating tool-facing behavior tests
from white-box manager/kernel tests.
- Keeps the base commit stable while expanding `js_repl` runtime
coverage.
#### [git stack](https://github.com/magus/git-stack-cli)
- ✅ `1` https://github.com/openai/codex/pull/12372
- 👉 `2` https://github.com/openai/codex/pull/12407
- ⏳ `3` https://github.com/openai/codex/pull/12185
- ⏳ `4` https://github.com/openai/codex/pull/10673
This PR replaces the old `additional_permissions.fs_read/fs_write` shape
with a shared `PermissionProfile`
model and wires it through the command approval, sandboxing, protocol,
and TUI layers. The schema is adopted from the
`SkillManifestPermissions`, which is also refactored to use this unified
struct. This helps us easily expose permission profiles in app
server/core as a follow-up.
## Summary
- Fix `js_repl` so `await codex.tool("view_image", { path })` actually
attaches the image to the active turn when called from inside the JS
REPL.
- Restore the behavior expected by the existing `js_repl`
image-attachment test.
- This is a follow-up to
[#12553](https://github.com/openai/codex/pull/12553), which changed
`view_image` to return structured image content.
## Root Cause
- [#12553](https://github.com/openai/codex/pull/12553) changed
`view_image` from directly injecting a pending user image message to
returning structured `function_call_output` content items.
- The nested tool-call bridge inside `js_repl` serialized that tool
response back to the JS runtime, but it did not mirror returned image
content into the active turn.
- As a result, `view_image` appeared to succeed inside `js_repl`, but no
`input_image` was actually attached for the outer turn.
## What Changed
- Updated the nested tool-call path in `js_repl` to inspect function
tool responses for structured content items.
- When a nested tool response includes `input_image` content, `js_repl`
now injects a corresponding user `Message` into the active turn before
returning the raw tool result back to the JS runtime.
- Kept the normal JSON result flow intact, so `codex.tool(...)` still
returns the original tool output object to JavaScript.
## Why
- `js_repl` documentation and tests already assume that `view_image` can
be used from inside the REPL to attach generated images to the model.
- Without this fix, the nested call path silently dropped that
attachment behavior.
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
`codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs` previously
located `codex-execve-wrapper` by scanning `PATH` and sibling
directories. That lookup is brittle and can select the wrong binary when
the runtime environment differs from startup assumptions.
We already pass `codex-linux-sandbox` from `codex-arg0`;
`codex-execve-wrapper` should use the same startup-driven path plumbing.
## What changed
- Introduced `Arg0DispatchPaths` in `codex-arg0` to carry both helper
executable paths:
- `codex_linux_sandbox_exe`
- `main_execve_wrapper_exe`
- Updated `arg0_dispatch_or_else()` to pass `Arg0DispatchPaths` to
top-level binaries and preserve helper paths created in
`prepend_path_entry_for_codex_aliases()`.
- Threaded `Arg0DispatchPaths` through entrypoints in `cli`, `exec`,
`tui`, `app-server`, and `mcp-server`.
- Added `main_execve_wrapper_exe` to core configuration plumbing
(`Config`, `ConfigOverrides`, and `SessionServices`).
- Updated zsh-fork shell escalation to consume the configured
`main_execve_wrapper_exe` and removed path-sniffing fallback logic.
- Updated app-server config reload paths so reloaded configs keep the
same startup-provided helper executable paths.
## References
- [`Arg0DispatchPaths`
definition](e355b43d5c/codex-rs/arg0/src/lib.rs (L20-L24))
- [`arg0_dispatch_or_else()` forwarding both
paths](e355b43d5c/codex-rs/arg0/src/lib.rs (L145-L176))
- [zsh-fork escalation using configured wrapper
path](e355b43d5c/codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs (L109-L150))
## Testing
- `cargo check -p codex-arg0 -p codex-core -p codex-exec -p codex-tui -p
codex-mcp-server -p codex-app-server`
- `cargo test -p codex-arg0`
- `cargo test -p codex-core tools::runtimes:🐚:unix_escalation:: --
--nocapture`
Rename `SkillMetadata.path` to `SkillMetadata.path_to_skills_md` for
clarity.
Would ideally change the type to `AbsolutePathBuf`, but that can be done
later.
## Summary
Improve `js_repl` behavior when the Node kernel hits a process-level
failure (for example, an uncaught exception or unhandled Promise
rejection).
Instead of only surfacing a generic `js_repl kernel exited unexpectedly`
after stdout EOF, `js_repl` now returns a clearer exec error for the
active request, then resets the kernel cleanly.
## Why
Some sandbox-denied operations can trigger Node errors that become
process-level failures (for example, an unhandled EventEmitter `'error'`
event). In that case:
- the kernel process exits,
- the host sees stdout EOF,
- the user gets a generic kernel-exit error,
- and the next request can briefly race with stale kernel state.
This change improves that failure mode without monkeypatching Node APIs.
## Changes
### Kernel-side (`js_repl` Node process)
- Add process-level handlers for:
- `uncaughtException`
- `unhandledRejection`
- When one of these fires:
- best-effort emit a normal `exec_result` error for the active exec
- include actionable guidance to catch/handle async errors (including
Promise rejections and EventEmitter `'error'` events)
- exit intentionally so the host can reset/restart the kernel
### Host-side (`JsReplManager`)
- Clear dead kernel state as soon as the stdout reader observes
unexpected kernel exit/EOF.
- This lets the next `js_repl` exec start a fresh kernel instead of
hitting a stale broken-pipe path.
### Tests
- Add regression coverage for:
- uncaught async exception -> exec error + kernel recovery on next exec
- Update forced-kernel-exit test to validate recovery behavior (next
exec restarts cleanly)
## Impact
- Better user-facing error for kernel crashes caused by
uncaught/unhandled async failures.
- Cleaner recovery behavior after kernel exit.
## Validation
- `cargo test -p codex-core --lib
tools::js_repl::tests::js_repl_uncaught_exception_returns_exec_error_and_recovers
-- --exact`
- `cargo test -p codex-core --lib
tools::js_repl::tests::js_repl_forced_kernel_exit_recovers_on_next_exec
-- --exact`
- `just fmt`
## Summary
- add graceful websocket app-server restart on Ctrl-C by draining until
no assistant turns are running
- stop the websocket acceptor and disconnect existing connections once
the drain condition is met
- add a websocket integration test that verifies Ctrl-C waits for an
in-flight turn before exit
## Verification
- `cargo check -p codex-app-server --quiet`
- `cargo test -p codex-app-server --test all
suite::v2::connection_handling_websocket`
- I (maxj) tested remote and local Codex.app
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
`codex-shell-escalation` exposed a `codex-core`-specific adapter layer
(`ShellActionProvider`, `ShellPolicyFactory`, and `run_escalate_server`)
that existed only to bridge `codex-core` to `EscalateServer`. That
indirection increased API surface and obscured crate ownership without
adding behavior.
This change moves orchestration into `codex-core` so boundaries are
clearer: `codex-shell-escalation` provides reusable escalation
primitives, and `codex-core` provides shell-tool policy decisions.
Admittedly, @pakrym rightfully requested this sort of cleanup as part of
https://github.com/openai/codex/pull/12649, though this avoids moving
all of `codex-shell-escalation` into `codex-core`.
## What changed
- Made `EscalateServer` public and exported it from `shell-escalation`.
- Removed the adapter layer from `shell-escalation`:
- deleted `shell-escalation/src/unix/core_shell_escalation.rs`
- removed exports for `ShellActionProvider`, `ShellPolicyFactory`,
`EscalationPolicyFactory`, and `run_escalate_server`
- Updated `core/src/tools/runtimes/shell/unix_escalation.rs` to:
- create `Stopwatch`/cancellation in `codex-core`
- instantiate `EscalateServer` directly
- implement `EscalationPolicy` directly on `CoreShellActionProvider`
Net effect: same escalation flow with fewer wrappers and a smaller
public API.
## Verification
- Manually reviewed the old vs. new escalation call flow to confirm
timeout/cancellation behavior and approval policy decisions are
preserved while removing wrapper types.
Increase `IMAGE_BYTES_ESTIMATE` from 340 bytes to 7,373 bytes so the
existing 4-bytes/token heuristic yields an image estimate of ~1,844
tokens instead of ~85. This makes auto-compaction more conservative for
image-heavy transcripts and avoids underestimating context usage, which
can otherwise cause compaction to fail when there is not enough free
context remaining. The new value was chosen because that's the image
resolution cap used for our latest models.
Follow-up to [#12419](https://github.com/openai/codex/pull/12419).
Refs [#11845](https://github.com/openai/codex/issues/11845).
Fixes#12128
The docs indicates that `project_root_markers` are used to discover the
project root for local config as well as `AGENTS.md`. It looks like it
was never wired up to support the latter.
Summary
- resolve project docs by walking to the configured
`project_root_markers` (or defaults) instead of assuming the Git root,
while honoring CLI overrides and handling malformed configs
- fall back to the project’s canonical path chain and add a test that
makes sure custom markers upstream of `.git` are respected
- Add a hidden `realtime_conversation` feature flag and `/realtime`
slash command for start/stop live voice sessions.
- Reuse transcription composer/footer UI for live metering, stream mic
audio, play assistant audio, render realtime user text events, and
force-close on feature disable.
---------
Co-authored-by: Codex <noreply@openai.com>
