## Why
Enterprise-managed hook policy needs a narrow way to require Codex to
ignore user-controlled lifecycle hooks without adopting the broader
trust-precedence model from earlier hook work. This keeps the policy
anchored in `requirements.toml`, so admins can opt into managed hooks
only while normal `config.toml` files cannot enable the restriction
themselves.
## What changed
- Added `allow_managed_hooks_only` to the requirements data flow and
preserved explicit `false` values.
- Also adds it to /debug-config
- Marked MDM, system, and legacy managed config layers as managed for
hook discovery.
- Updated hook discovery so `allow_managed_hooks_only = true`:
- keeps managed requirements hooks and managed config-layer hooks,
- skips user/project/session `hooks.json` and `[hooks]` entries with
concise startup warnings,
- skips current unmanaged plugin hooks,
- ignores any `allow_managed_hooks_only` key placed in ordinary
`config.toml` layers.
## Why
Managed requirements can already centrally disable apps, but they could
not express the per-tool app approval rules that normal config already
supports. That left admins without a way to enforce connector tool
approvals through `/etc/codex/requirements.toml` or cloud requirements.
## What changed
- Extend app requirements with per-tool `approval_mode` entries.
- Merge managed app tool requirements across managed sources while
preserving higher-precedence exact tool settings.
- Apply managed tool approvals separately from user app config so
managed policy is matched only on raw MCP `tool.name`, while user config
keeps the existing raw-name-then-title convenience fallback.
- Add coverage for local requirements, cloud requirements parsing,
managed-over-user precedence, and a title-collision case that must not
widen managed auto-approval.
## Configuration shape
Local `/etc/codex/requirements.toml` and cloud requirements use the same
TOML shape:
```toml
[apps.connector_123123.tools."calendar/list_events"]
approval_mode = "approve"
```
This is a per-tool approval rule keyed by app ID and raw MCP tool name,
not an app-level boolean such as `apps.connector_123123.approve = true`.
## Summary
`cargo test` has entails both running standard Rust tests and doctests.
It turns out that the doctest discovery is fairly slow, and it's a cost
you pay even for crates that don't include any doctests.
This PR disables doctests with `doctest = false` for crates that lack
any doctests.
For the collection of crates below, this speeds up test execution by
>4x.
E.g., before this PR:
```
Benchmark 1: cargo test -p codex-utils-absolute-path -p codex-utils-cache -p codex-utils-cli -p codex-utils-home-dir -p codex-utils-output-truncation -p codex-utils-path -p codex-utils-string -p codex-utils-template -p codex-utils-elapsed -p codex-utils-json-to-toml
Time (mean ± σ): 1.849 s ± 4.455 s [User: 0.752 s, System: 1.367 s]
Range (min … max): 0.418 s … 14.529 s 10 runs
```
And after:
```
Benchmark 1: cargo test -p codex-utils-absolute-path -p codex-utils-cache -p codex-utils-cli -p codex-utils-home-dir -p codex-utils-output-truncation -p codex-utils-path -p codex-utils-string -p codex-utils-template -p codex-utils-elapsed -p codex-utils-json-to-toml
Time (mean ± σ): 428.6 ms ± 6.9 ms [User: 187.7 ms, System: 219.7 ms]
Range (min … max): 418.0 ms … 436.8 ms 10 runs
```
For a single crate, with >2x speedup, before:
```
Benchmark 1: cargo test -p codex-utils-string
Time (mean ± σ): 491.1 ms ± 9.0 ms [User: 229.8 ms, System: 234.9 ms]
Range (min … max): 480.9 ms … 512.0 ms 10 runs
```
And after:
```
Benchmark 1: cargo test -p codex-utils-string
Time (mean ± σ): 213.9 ms ± 4.3 ms [User: 112.8 ms, System: 84.0 ms]
Range (min … max): 206.8 ms … 221.0 ms 13 runs
```
Co-authored-by: Codex <noreply@openai.com>
Plugin MCP servers are loaded from plugin manifests rather than
top-level `[mcp_servers]`, so their tool approval preferences need to be
stored and applied through the owning plugin config. Without this,
choosing "Always allow" for a plugin MCP tool could write a preference
that was not reliably used on later tool calls.
## Summary
- Add plugin-scoped MCP policy config under
`plugins.<plugin>.mcp_servers`, including server enablement, tool
allow/deny lists, server defaults, and per-tool approval modes.
- Overlay plugin MCP policy onto manifest-provided server configs when
plugins are loaded.
- Route persistent "Always allow" writes for plugin MCP tools back to
the owning `plugins.<plugin>.mcp_servers.<server>.tools.<tool>` config
entry.
- Reload user config after persisting an approval and make the plugin
load cache config-aware so stale plugin MCP policy is not reused after
`config.toml` changes.
- Regenerate the config schema and add coverage for plugin MCP policy
loading, approval lookup, persistence, and stale-cache prevention.
## Testing
- `cargo test -p codex-config`
- `cargo test -p codex-core-plugins`
- `cargo test -p codex-core --lib plugin_mcp`
## Why
Agent Identity sessions can represent Business and Enterprise ChatGPT
workspaces, but cloud requirements were skipped before fetch. That meant
workspace-managed requirements were not loaded for Agent Identity even
when the JWT carried the same account identity and plan information that
normal ChatGPT token auth exposes.
This PR now sits on top of the Agent Identity stack through
[#19764](https://github.com/openai/codex/pull/19764). Because
[#19763](https://github.com/openai/codex/pull/19763) moved task
registration into Agent Identity auth loading, cloud requirements no
longer needs a separate runtime-initialization step before building the
backend client.
## What changed
- Stop skipping `CodexAuth::AgentIdentity` in the cloud requirements
loader.
- Share the cloud requirements eligibility check between startup load
and background cache refresh.
- Rely on eagerly loaded Agent Identity auth so backend requests can
attach task-scoped `AgentAssertion` headers.
- Decode Agent Identity JWT `plan_type` as the auth-layer plan type,
then convert it through a shared `auth::PlanType` -> `account::PlanType`
mapping.
- Add the missing serde alias for the `education` plan string and add
coverage for raw Agent Identity plan aliases such as `hc` and
`education`.
## Testing
- `cargo test -p codex-agent-identity -p codex-login -p
codex-cloud-requirements -p codex-protocol`
## Summary
Auth loading used to expose synchronous construction helpers in several
places even though some auth sources now need async work. This PR makes
the auth-loading surface async and updates the callers to await it.
This is intentionally only plumbing. It does not change how
AgentIdentity tokens are decoded, how task runtime ids are allocated, or
how JWT signatures are verified.
## Stack
1. **This PR:** [refactor: make auth loading
async](https://github.com/openai/codex/pull/19762)
2. [refactor: load AgentIdentity runtime
eagerly](https://github.com/openai/codex/pull/19763)
3. [feat: verify AgentIdentity JWTs with
JWKS](https://github.com/openai/codex/pull/19764)
## Important call sites
| Area | Change |
| --- | --- |
| `codex-login` auth loading | `CodexAuth` and `AuthManager`
construction paths now await auth loading. |
| app-server startup | Auth manager construction is awaited during
initialization. |
| CLI/TUI/exec/MCP/chatgpt callers | Existing auth-loading calls now
await the same behavior. |
| cloud requirements storage loader | The loader becomes async so it can
share the same auth construction path. |
| auth tests | Tests that load auth now run in async contexts. |
## Testing
Tests: targeted Rust auth test compilation, formatter, scoped Clippy
fix, and Bazel lock check.
## Why
Config loading had become split across crates: `codex-config` owned the
config types and merge logic, while `codex-core` still owned the loader
that assembled the layer stack. This change consolidates that
responsibility in `codex-config`, so the crate that defines config
behavior also owns how configs are discovered and loaded.
To make that move possible without reintroducing the old dependency
cycle, the shell-environment policy types and helpers that
`codex-exec-server` needs now live in `codex-protocol` instead of
flowing through `codex-config`.
This also makes the migrated loader tests more deterministic on machines
that already have managed or system Codex config installed by letting
tests override the system config and requirements paths instead of
reading the host's `/etc/codex`.
## What Changed
- moved the config loader implementation from `codex-core` into
`codex-config::loader` and deleted the old `core::config_loader` module
instead of leaving a compatibility shim
- moved shell-environment policy types and helpers into
`codex-protocol`, then updated `codex-exec-server` and other downstream
crates to import them from their new home
- updated downstream callers to use loader/config APIs from
`codex-config`
- added test-only loader overrides for system config and requirements
paths so loader-focused tests do not depend on host-managed config state
- cleaned up now-unused dependency entries and platform-specific cfgs
that were surfaced by post-push CI
## Testing
- `cargo test -p codex-config`
- `cargo test -p codex-core config_loader_tests::`
- `cargo test -p codex-protocol -p codex-exec-server -p
codex-cloud-requirements -p codex-rmcp-client --lib`
- `cargo test --lib -p codex-app-server-client -p codex-exec`
- `cargo test --no-run --lib -p codex-app-server`
- `cargo test -p codex-linux-sandbox --lib`
- `cargo shear`
- `just bazel-lock-check`
## Notes
- I did not chase unrelated full-suite failures outside the migrated
loader surface.
- `cargo test -p codex-core --lib` still hits unrelated proxy-sensitive
failures on this machine, and Windows CI still shows unrelated
long-running/timeouting test noise outside the loader migration itself.
## Summary
This PR lets programmatic AgentIdentity users provide one token through
either stdin login or environment auth.
`codex login --with-agent-identity` reads an Agent Identity JWT from
stdin, validates that it has the required claims, and stores that token
as the `agent_identity` value in `auth.json`. The file format is
token-only; the decoded account and key fields are runtime state, not
hand-authored auth.json fields.
The Agent Identity JWT claim shape and decoder live in
`codex-agent-identity`; `codex-login` only owns env/storage precedence
and conversion into `CodexAuth::AgentIdentity`.
When env auth is enabled, `CODEX_AGENT_IDENTITY` can provide the same
JWT without writing auth state to disk. `CODEX_API_KEY` still wins if
both env vars are set.
Reference old stack: https://github.com/openai/codex/pull/17387/changes
Reference JWT/env stack: https://github.com/openai/codex/pull/18176
## Stack
1. https://github.com/openai/codex/pull/18757: full revert
2. https://github.com/openai/codex/pull/18871: isolated Agent Identity
crate
3. https://github.com/openai/codex/pull/18785: explicit AgentIdentity
auth mode and startup task allocation
4. https://github.com/openai/codex/pull/18811: migrate Codex backend
auth callsites through AuthProvider
5. This PR: accept AgentIdentity JWTs through login/env
## Testing
Tests: targeted login and Agent Identity crate tests, CLI checks, scoped
formatter/linter cleanup, and CI.
---------
Co-authored-by: Shijie Rao <shijie.rao@openai.com>
## Why
The current cloud-requirements failures say `workspace-managed config`,
which is ambiguous and can read like it refers to local managed config
such as `managed_config.toml`.
This code path only applies to cloud requirements, so the user-facing
message should name that source directly.
## What changed
- Updated the load failure in
[`codex-rs/cloud-requirements/src/lib.rs`](https://github.com/openai/codex/blob/46e704d1f93054daa9a3b5a9100333c540c81d50/codex-rs/cloud-requirements/src/lib.rs)
to say `failed to load cloud requirements (workspace-managed policies)`.
- Updated the parse failure in the same file to use the same `cloud
requirements (workspace-managed policies)` terminology.
- Kept `workspace-managed` hyphenated because it is used as a compound
modifier.
- Updated the matching assertion in
[`codex-rs/app-server/src/codex_message_processor.rs`](https://github.com/openai/codex/blob/46e704d1f93054daa9a3b5a9100333c540c81d50/codex-rs/app-server/src/codex_message_processor.rs).
- Reused `CLOUD_REQUIREMENTS_LOAD_FAILED_MESSAGE` in the
`codex-cloud-requirements` test where the test is asserting that
crate-local contract directly.
## Testing
`cargo test -p codex-cloud-requirements`
## Summary
Support the existing hooks schema in inline TOML so hooks can be
configured from both `config.toml` and enterprise-managed
`requirements.toml` without requiring a separate `hooks.json` payload.
This gives enterprise admins a way to ship managed hook policy through
the existing requirements channel while still leaving script delivery to
MDM or other device-management tooling, and it keeps `hooks.json`
working unchanged for existing users.
This also lays the groundwork for follow-on managed filtering work such
as #15937, while continuing to respect project trust gating from #14718.
It does **not** implement `allow_managed_hooks_only` itself.
NOTE: yes, it's a bit unfortunate that the toml isn't formatted as
closely as normal to our default styling. This is because we're trying
to stay compatible with the spec for plugins/hooks that we'll need to
support & the main usecase here is embedding into requirements.toml
## What changed
- moved the shared hook serde model out of `codex-rs/hooks` into
`codex-rs/config` so the same schema can power `hooks.json`, inline
`config.toml` hooks, and managed `requirements.toml` hooks
- added `hooks` support to both `ConfigToml` and
`ConfigRequirementsToml`, including requirements-side `managed_dir` /
`windows_managed_dir`
- treated requirements-managed hooks as one constrained value via
`Constrained`, so managed hook policy is merged atomically and cannot
drift across requirement sources
- updated hook discovery to load requirements-managed hooks first, then
per-layer `hooks.json`, then per-layer inline TOML hooks, with a warning
when a single layer defines both representations
- threaded managed hook metadata through discovered handlers and exposed
requirements hooks in app-server responses, generated schemas, and
`/debug-config`
- added hook/config coverage in `codex-rs/config`, `codex-rs/hooks`,
`codex-rs/core/src/config_loader/tests.rs`, and
`codex-rs/core/tests/suite/hooks.rs`
## Testing
- `cargo test -p codex-config`
- `cargo test -p codex-hooks`
- `cargo test -p codex-app-server config_api`
## Documentation
Companion updates are needed in the developers website repo for:
- the hooks guide
- the config reference, sample, basic, and advanced pages
- the enterprise managed configuration guide
---------
Co-authored-by: Michael Bolin <mbolin@openai.com>
## Summary
This PR adds `CodexAuth::AgentIdentity` as an explicit auth mode.
An AgentIdentity auth record is a standalone `auth.json` mode. When
`AuthManager::auth().await` loads that mode, it registers one
process-scoped task and stores it in runtime-only state on the auth
value. Header creation stays synchronous after that because the task is
initialized before callers receive the auth object.
This PR also removes the old feature flag path. AgentIdentity is
selected by explicit auth mode, not by a hidden flag or lazy mutation of
ChatGPT auth records.
Reference old stack: https://github.com/openai/codex/pull/17387/changes
## Design Decisions
- AgentIdentity is a real auth enum variant because it can be the only
credential in `auth.json`.
- The process task is ephemeral runtime state. It is not serialized and
is not stored in rollout/session data.
- Account/user metadata needed by existing Codex backend checks lives on
the AgentIdentity record for now.
- `is_chatgpt_auth()` remains token-specific.
- `uses_codex_backend()` is the broader predicate for ChatGPT-token auth
and AgentIdentity auth.
## Stack
1. https://github.com/openai/codex/pull/18757: full revert
2. https://github.com/openai/codex/pull/18871: isolated Agent Identity
crate
3. This PR: explicit AgentIdentity auth mode and startup task allocation
4. https://github.com/openai/codex/pull/18811: migrate Codex backend
auth callsites through AuthProvider
5. https://github.com/openai/codex/pull/18904: accept AgentIdentity JWTs
and load `CODEX_AGENT_IDENTITY`
## Testing
Tests: targeted Rust checks, cargo-shear, Bazel lock check, and CI.
## Summary
This PR fully reverts the previously merged Agent Identity runtime
integration from the old stack:
https://github.com/openai/codex/pull/17387/changes
It removes the Codex-side task lifecycle wiring, rollout/session
persistence, feature flag plumbing, lazy `auth.json` mutation,
background task auth paths, and request callsite changes introduced by
that stack.
This leaves the repo in a clean pre-AgentIdentity integration state so
the follow-up PRs can reintroduce the pieces in smaller reviewable
layers.
## Stack
1. This PR: full revert
2. https://github.com/openai/codex/pull/18871: move Agent Identity
business logic into a crate
3. https://github.com/openai/codex/pull/18785: add explicit
AgentIdentity auth mode and startup task allocation
4. https://github.com/openai/codex/pull/18811: migrate auth callsites
through AuthProvider
## Testing
Tests: targeted Rust checks, cargo-shear, Bazel lock check, and CI.
## Why
Customers need finer-grained control over allowed sandbox modes based on
the host Codex is running on. For example, they may want stricter
sandbox limits on devboxes while keeping a different default elsewhere.
Our current cloud requirements can target user/account groups, but they
cannot vary sandbox requirements by host. That makes remote development
environments awkward because the same top-level `allowed_sandbox_modes`
has to apply everywhere.
## What
Adds a new `remote_sandbox_config` section to `requirements.toml`:
```toml
allowed_sandbox_modes = ["read-only"]
[[remote_sandbox_config]]
hostname_patterns = ["*.org"]
allowed_sandbox_modes = ["read-only", "workspace-write"]
[[remote_sandbox_config]]
hostname_patterns = ["*.sh", "runner-*.ci"]
allowed_sandbox_modes = ["read-only", "danger-full-access"]
```
During requirements resolution, Codex resolves the local host name once,
preferring the machine FQDN when available and falling back to the
cleaned kernel hostname. This host classification is best effort rather
than authenticated device proof.
Each requirements source applies its first matching
`remote_sandbox_config` entry before it is merged with other sources.
The shared merge helper keeps that `apply_remote_sandbox_config` step
paired with requirements merging so new requirements sources do not have
to remember the extra call.
That preserves source precedence: a lower-precedence requirements file
with a matching `remote_sandbox_config` cannot override a
higher-precedence source that already set `allowed_sandbox_modes`.
This also wires the hostname-aware resolution through app-server,
CLI/TUI config loading, config API reads, and config layer metadata so
they all evaluate remote sandbox requirements consistently.
## Verification
- `cargo test -p codex-config remote_sandbox_config`
- `cargo test -p codex-config host_name`
- `cargo test -p codex-core
load_config_layers_applies_matching_remote_sandbox_config`
- `cargo test -p codex-core
system_remote_sandbox_config_keeps_cloud_sandbox_modes`
- `cargo test -p codex-config`
- `cargo test -p codex-core` unit tests passed; `tests/all.rs`
integration matrix was intentionally stopped after the relevant focused
tests passed
- `just fix -p codex-config`
- `just fix -p codex-core`
- `cargo check -p codex-app-server`
## Summary
- adds managed requirements support for deny-read filesystem entries
- constrains config layers so managed deny-read requirements cannot be
widened by user-controlled config
- surfaces managed deny-read requirements through debug/config plumbing
This PR lets managed requirements inject deny-read filesystem
constraints into the effective filesystem sandbox policy.
User-controlled config can still choose the surrounding permission
profile, but it cannot remove or weaken the managed deny-read entries.
## Managed deny-read shape
A managed requirements file can declare exact paths and glob patterns
under `[permissions.filesystem]`:
```toml
# /etc/codex/requirements.toml
[permissions.filesystem]
deny_read = [
"/Users/alice/.gitconfig",
"/Users/alice/.ssh",
"./managed-private/**/*.env",
]
```
Those entries are compiled into the effective filesystem policy as
`access = none` rules, equivalent in shape to filesystem permission
entries like:
```toml
[permissions.workspace.filesystem]
"/Users/alice/.gitconfig" = "none"
"/Users/alice/.ssh" = "none"
"/absolute/path/to/managed-private/**/*.env" = "none"
```
The important difference is that the managed entries come from
requirements, so lower-precedence user config cannot remove them or make
those paths readable again.
Relative managed `deny_read` entries are resolved relative to the
directory containing the managed requirements file. Glob entries keep
their glob suffix after the non-glob prefix is normalized.
## Runtime behavior
- Managed `deny_read` entries are appended to the effective
`FileSystemSandboxPolicy` after the selected permission profile is
resolved.
- Exact paths become `FileSystemPath::Path { access: None }`; glob
patterns become `FileSystemPath::GlobPattern { access: None }`.
- When managed deny-read entries are present, `sandbox_mode` is
constrained to `read-only` or `workspace-write`; `danger-full-access`
and `external-sandbox` cannot silently bypass the managed read-deny
policy.
- On Windows, the managed deny-read policy is enforced for direct file
tools, but shell subprocess reads are not sandboxed yet, so startup
emits a warning for that platform.
- `/debug-config` shows the effective managed requirement as
`permissions.filesystem.deny_read` with its source.
## Stack
1. #15979 - glob deny-read policy/config/direct-tool support
2. #18096 - macOS and Linux sandbox enforcement
3. This PR - managed deny-read requirements
---------
Co-authored-by: Codex <noreply@openai.com>
## Summary
- reduce public module visibility across Rust crates, preferring private
or crate-private modules with explicit crate-root public exports
- update external call sites and tests to use the intended public crate
APIs instead of reaching through module trees
- add the module visibility guideline to AGENTS.md
## Validation
- `cargo check --workspace --all-targets --message-format=short` passed
before the final fix/format pass
- `just fix` completed successfully
- `just fmt` completed successfully
- `git diff --check` passed
## Description
Add requirements.toml support for `allowed_approvals_reviewers =
["user", "guardian_subagent"]`, so admins can now restrict the use of
guardian mode.
Note: If a user sets a reviewer that isn’t allowed by requirements.toml,
config loading falls back to the first allowed reviewer and emits a
startup warning.
The table below describes the possible admin controls.
| Admin intent | `requirements.toml` | User `config.toml` | End result |
|---|---|---|---|
| Leave Guardian optional | omit `allowed_approvals_reviewers` or set
`["user", "guardian_subagent"]` | user chooses `approvals_reviewer =
"user"` or `"guardian_subagent"` | Guardian off for `user`, on for
`guardian_subagent` + `approval_policy = "on-request"` |
| Force Guardian off | `allowed_approvals_reviewers = ["user"]` | any
user value | Effective reviewer is `user`; Guardian off |
| Force Guardian on | `allowed_approvals_reviewers =
["guardian_subagent"]` and usually `allowed_approval_policies =
["on-request"]` | any user reviewer value; user should also have
`approval_policy = "on-request"` unless policy is forced | Effective
reviewer is `guardian_subagent`; Guardian on when effective approval
policy is `on-request` |
| Allow both, but default to manual if user does nothing |
`allowed_approvals_reviewers = ["user", "guardian_subagent"]` | omit
`approvals_reviewer` | Effective reviewer is `user`; Guardian off |
| Allow both, and user explicitly opts into Guardian |
`allowed_approvals_reviewers = ["user", "guardian_subagent"]` |
`approvals_reviewer = "guardian_subagent"` and `approval_policy =
"on-request"` | Guardian on |
| Invalid admin config | `allowed_approvals_reviewers = []` | anything |
Config load error |
## Why
`codex-core` was re-exporting APIs owned by sibling `codex-*` crates,
which made downstream crates depend on `codex-core` as a proxy module
instead of the actual owner crate.
Removing those forwards makes crate boundaries explicit and lets leaf
crates drop unnecessary `codex-core` dependencies. In this PR, this
reduces the dependency on `codex-core` to `codex-login` in the following
files:
```
codex-rs/backend-client/Cargo.toml
codex-rs/mcp-server/tests/common/Cargo.toml
```
## What
- Remove `codex-rs/core/src/lib.rs` re-exports for symbols owned by
`codex-login`, `codex-mcp`, `codex-rollout`, `codex-analytics`,
`codex-protocol`, `codex-shell-command`, `codex-sandboxing`,
`codex-tools`, and `codex-utils-path`.
- Delete the `default_client` forwarding shim in `codex-rs/core`.
- Update in-crate and downstream callsites to import directly from the
owning `codex-*` crate.
- Add direct Cargo dependencies where callsites now target the owner
crate, and remove `codex-core` from `codex-rs/backend-client`.
## Why
`argument-comment-lint` was green in CI even though the repo still had
many uncommented literal arguments. The main gap was target coverage:
the repo wrapper did not force Cargo to inspect test-only call sites, so
examples like the `latest_session_lookup_params(true, ...)` tests in
`codex-rs/tui_app_server/src/lib.rs` never entered the blocking CI path.
This change cleans up the existing backlog, makes the default repo lint
path cover all Cargo targets, and starts rolling that stricter CI
enforcement out on the platform where it is currently validated.
## What changed
- mechanically fixed existing `argument-comment-lint` violations across
the `codex-rs` workspace, including tests, examples, and benches
- updated `tools/argument-comment-lint/run-prebuilt-linter.sh` and
`tools/argument-comment-lint/run.sh` so non-`--fix` runs default to
`--all-targets` unless the caller explicitly narrows the target set
- fixed both wrappers so forwarded cargo arguments after `--` are
preserved with a single separator
- documented the new default behavior in
`tools/argument-comment-lint/README.md`
- updated `rust-ci` so the macOS lint lane keeps the plain wrapper
invocation and therefore enforces `--all-targets`, while Linux and
Windows temporarily pass `-- --lib --bins`
That temporary CI split keeps the stricter all-targets check where it is
already cleaned up, while leaving room to finish the remaining Linux-
and Windows-specific target-gated cleanup before enabling
`--all-targets` on those runners. The Linux and Windows failures on the
intermediate revision were caused by the wrapper forwarding bug, not by
additional lint findings in those lanes.
## Validation
- `bash -n tools/argument-comment-lint/run.sh`
- `bash -n tools/argument-comment-lint/run-prebuilt-linter.sh`
- shell-level wrapper forwarding check for `-- --lib --bins`
- shell-level wrapper forwarding check for `-- --tests`
- `just argument-comment-lint`
- `cargo test` in `tools/argument-comment-lint`
- `cargo test -p codex-terminal-detection`
## Follow-up
- Clean up remaining Linux-only target-gated callsites, then switch the
Linux lint lane back to the plain wrapper invocation.
- Clean up remaining Windows-only target-gated callsites, then switch
the Windows lint lane back to the plain wrapper invocation.
## Summary
- add `self_serve_business_usage_based` and `enterprise_cbp_usage_based`
to the public/internal plan enums and regenerate the app-server + Python
SDK artifacts
- map both plans through JWT login and backend rate-limit payloads, then
bucket them with the existing Team/Business entitlement behavior in
cloud requirements, usage-limit copy, tooltips, and status display
- keep the earlier display-label remap commit on this branch so the new
Team-like and Business-like plans render consistently in the UI
## Testing
- `just write-app-server-schema`
- `uv run --project sdk/python python
sdk/python/scripts/update_sdk_artifacts.py generate-types`
- `just fix -p codex-protocol -p codex-login -p codex-core -p
codex-backend-client -p codex-cloud-requirements -p codex-tui -p
codex-tui-app-server -p codex-backend-openapi-models`
- `just fmt`
- `just argument-comment-lint`
- `cargo test -p codex-protocol
usage_based_plan_types_use_expected_wire_names`
- `cargo test -p codex-login usage_based`
- `cargo test -p codex-backend-client usage_based`
- `cargo test -p codex-cloud-requirements usage_based`
- `cargo test -p codex-core usage_limit_reached_error_formats_`
- `cargo test -p codex-tui plan_type_display_name_remaps_display_labels`
- `cargo test -p codex-tui remapped`
- `cargo test -p codex-tui-app-server
plan_type_display_name_remaps_display_labels`
- `cargo test -p codex-tui-app-server remapped`
- `cargo test -p codex-tui-app-server
preserves_usage_based_plan_type_wire_name`
## Notes
- a broader multi-crate `cargo test` run still hits unrelated existing
guardian-approval config failures in
`codex-rs/core/src/config/config_tests.rs`
## Summary
Fix a managed ChatGPT auth bug where a stale Codex process could
proactively refresh using an old in-memory refresh token even after
another process had already rotated auth on disk.
This changes the proactive `AuthManager::auth()` path to reuse the
existing guarded `refresh_token()` flow instead of calling the refresh
endpoint directly from cached auth state.
## Original Issue
Users reported repeated `codexd` log lines like:
```text
ERROR codex_core::auth: Failed to refresh token: error sending request for url (https://auth.openai.com/oauth/token)
```
In practice this showed up most often when multiple `codexd` processes
were left running. Killing the extra processes stopped the noise, which
suggested the issue was caused by stale auth state across processes
rather than invalid user credentials.
## Diagnosis
The bug was in the proactive refresh path used by `AuthManager::auth()`:
- Process A could refresh successfully, rotate refresh token `R0` to
`R1`, and persist the updated auth state plus `last_refresh` to disk.
- Process B could keep an older auth snapshot cached in memory, still
holding `R0` and the old `last_refresh`.
- Later, when Process B called `auth()`, it checked staleness from its
cached in-memory auth instead of first reloading from disk.
- Because that cached `last_refresh` was stale, Process B would
proactively call `/oauth/token` with stale refresh token `R0`.
- On failure, `auth()` logged the refresh error but kept returning the
same stale cached auth, so repeated `auth()` calls could keep retrying
with dead state.
This differed from the existing unauthorized-recovery flow, which
already did the safer thing: guarded reload from disk first, then
refresh only if the on-disk auth was unchanged.
## What Changed
- Switched proactive refresh in `AuthManager::auth()` to:
- do a pure staleness check on cached auth
- call `refresh_token()` when stale
- return the original cached auth on genuine refresh failure, preserving
existing outward behavior
- Removed the direct proactive refresh-from-cached-state path
- Added regression tests covering:
- stale cached auth with newer same-account auth already on disk
- the same scenario even when the refresh endpoint would fail if called
## Why This Fix
`refresh_token()` already contains the right cross-process safety
behavior:
- guarded reload from disk
- same-account verification
- skip-refresh when another process already changed auth
Reusing that path makes proactive refresh consistent with unauthorized
recovery and prevents stale processes from trying to refresh
already-rotated tokens.
## Testing
Test shape:
- create a fresh temp `CODEX_HOME` from `~/.codex/auth.json`
- force `last_refresh` to an old timestamp so proactive refresh is
required
- start two long-lived helper processes against the same auth file
- start `B` first so it caches stale auth and sleeps
- start `A` second so it refreshes first
- point both at a local mock `/oauth/token` server
- inspect whether `B` makes a second refresh request with the stale
in-memory token, or reloads the rotated token from disk
### Before the fix
The repro showed the bug clearly: the mock server saw two refreshes with
the same stale token, `A` rotated to a new token, and `B` still returned
the stale token instead of reloading from disk.
```text
POST /oauth/token refresh_token=rt_j6s0...
POST /oauth/token refresh_token=rt_j6s0...
B:cached_before=rt_j6s0...
B:cached_after=rt_j6s0...
B:returned=rt_j6s0...
A:cached_before=rt_j6s0...
A:cached_after=rotated-refresh-token-logged-run-v2
A:returned=rotated-refresh-token-logged-run-v2
```
### After the fix
After the fix, the mock server saw only one refresh request. `A`
refreshed once, and `B` started with the stale token but reloaded and
returned the rotated token.
```text
POST /oauth/token refresh_token=rt_j6s0...
B:cached_before=rt_j6s0...
B:cached_after=rotated-refresh-token-fix-branch
B:returned=rotated-refresh-token-fix-branch
A:cached_before=rt_j6s0...
A:cached_after=rotated-refresh-token-fix-branch
A:returned=rotated-refresh-token-fix-branch
```
This shows the new behavior: `A` refreshes once, then `B` reuses the
updated auth from disk instead of making a second refresh request with
the stale token.
## Summary
- move `guardian_developer_instructions` from managed config into
workspace-managed `requirements.toml`
- have guardian continue using the override when present and otherwise
fall back to the bundled local guardian prompt
- keep the generalized prompt-quality improvements in the shared
guardian default prompt
- update requirements parsing, layering, schema, and tests for the new
source of truth
## Context
This replaces the earlier managed-config / MDM rollout plan.
The intended rollout path is workspace-managed requirements, including
cloud enterprise policies, rather than backend model metadata, Statsig,
or Jamf-managed config. That keeps the default/fallback behavior local
to `codex-rs` while allowing faster policy updates through the
enterprise requirements plane.
This is intentionally an admin-managed policy input, not a user
preference: the guardian prompt should come either from the bundled
`codex-rs` default or from enterprise-managed `requirements.toml`, and
normal user/project/session config should not override it.
## Updating The OpenAI Prompt
After this lands, the OpenAI-specific guardian prompt should be updated
through the workspace Policies UI at `/codex/settings/policies` rather
than through Jamf or codex-backend model metadata.
Operationally:
- open the workspace Policies editor as a Codex admin
- edit the default `requirements.toml` policy, or a higher-precedence
group-scoped override if we ever want different behavior for a subset of
users
- set `guardian_developer_instructions = """..."""` to the full
OpenAI-specific guardian prompt text
- save the policy; codex-backend stores the raw TOML and `codex-rs`
fetches the effective requirements file from `/wham/config/requirements`
When updating the OpenAI-specific prompt, keep it aligned with the
shared default guardian policy in `codex-rs` except for intentional
OpenAI-only additions.
## Testing
- `cargo check --tests -p codex-core -p codex-config -p
codex-cloud-requirements --message-format short`
- `cargo run -p codex-core --bin codex-write-config-schema`
- `cargo fmt`
- `git diff --check`
Co-authored-by: Codex <noreply@openai.com>
## Why
Once the repo-local lint exists, `codex-rs` needs to follow the
checked-in convention and CI needs to keep it from drifting. This commit
applies the fallback `/*param*/` style consistently across existing
positional literal call sites without changing those APIs.
The longer-term preference is still to avoid APIs that require comments
by choosing clearer parameter types and call shapes. This PR is
intentionally the mechanical follow-through for the places where the
existing signatures stay in place.
After rebasing onto newer `main`, the rollout also had to cover newly
introduced `tui_app_server` call sites. That made it clear the first cut
of the CI job was too expensive for the common path: it was spending
almost as much time installing `cargo-dylint` and re-testing the lint
crate as a representative test job spends running product tests. The CI
update keeps the full workspace enforcement but trims that extra
overhead from ordinary `codex-rs` PRs.
## What changed
- keep a dedicated `argument_comment_lint` job in `rust-ci`
- mechanically annotate remaining opaque positional literals across
`codex-rs` with exact `/*param*/` comments, including the rebased
`tui_app_server` call sites that now fall under the lint
- keep the checked-in style aligned with the lint policy by using
`/*param*/` and leaving string and char literals uncommented
- cache `cargo-dylint`, `dylint-link`, and the relevant Cargo
registry/git metadata in the lint job
- split changed-path detection so the lint crate's own `cargo test` step
runs only when `tools/argument-comment-lint/*` or `rust-ci.yml` changes
- continue to run the repo wrapper over the `codex-rs` workspace, so
product-code enforcement is unchanged
Most of the code changes in this commit are intentionally mechanical
comment rewrites or insertions driven by the lint itself.
## Verification
- `./tools/argument-comment-lint/run.sh --workspace`
- `cargo test -p codex-tui-app-server -p codex-tui`
- parsed `.github/workflows/rust-ci.yml` locally with PyYAML
---
* -> #14652
* #14651
This PR replicates the `tui` code directory and creates a temporary
parallel `tui_app_server` directory. It also implements a new feature
flag `tui_app_server` to select between the two tui implementations.
Once the new app-server-based TUI is stabilized, we'll delete the old
`tui` directory and feature flag.
CXC-392
[With
401](https://openai.sentry.io/issues/7333870443/?project=4510195390611458&query=019ce8f8-560c-7f10-a00a-c59553740674&referrer=issue-stream)
<img width="1909" height="555" alt="401 auth tags in Sentry"
src="https://github.com/user-attachments/assets/412ea950-61c4-4780-9697-15c270971ee3"
/>
- auth_401_*: preserved facts from the latest unauthorized response snapshot
- auth_*: latest auth-related facts from the latest request attempt
- auth_recovery_*: unauthorized recovery state and follow-up result
Without 401
<img width="1917" height="522" alt="happy-path auth tags in Sentry"
src="https://github.com/user-attachments/assets/3381ed28-8022-43b0-b6c0-623a630e679f"
/>
###### Summary
- Add client-visible 401 diagnostics for auth attachment, upstream auth classification, and 401 request id / cf-ray correlation.
- Record unauthorized recovery mode, phase, outcome, and retry/follow-up status without changing auth behavior.
- Surface the highest-signal auth and recovery fields on uploaded client bug reports so they are usable in Sentry.
- Preserve original unauthorized evidence under `auth_401_*` while keeping follow-up result tags separate.
###### Rationale (from spec findings)
- The dominant bucket needed proof of whether the client attached auth before send or upstream still classified the request as missing auth.
- Client uploads needed to show whether unauthorized recovery ran and what the client tried next.
- Request id and cf-ray needed to be preserved on the unauthorized response so server-side correlation is immediate.
- The bug-report path needed the same auth evidence as the request telemetry path, otherwise the observability would not be operationally useful.
###### Scope
- Add auth 401 and unauthorized-recovery observability in `codex-rs/core`, `codex-rs/codex-api`, and `codex-rs/otel`, including feedback-tag surfacing.
- Keep auth semantics, refresh behavior, retry behavior, endpoint classification, and geo-denial follow-up work out of this PR.
###### Trade-offs
- This exports only safe auth evidence: header presence/name, upstream auth classification, request ids, and recovery state. It does not export token values or raw upstream bodies.
- This keeps websocket connection reuse as a transport clue because it can help distinguish stale reused sessions from fresh reconnects.
- Misroute/base-url classification and geo-denial are intentionally deferred to a separate follow-up PR so this review stays focused on the dominant auth 401 bucket.
###### Client follow-up
- PR 2 will add misroute/provider and geo-denial observability plus the matching feedback-tag surfacing.
- A separate host/app-server PR should log auth-decision inputs so pre-send host auth state can be correlated with client request evidence.
- `device_id` remains intentionally separate until there is a safe existing source on the feedback upload path.
###### Testing
- `cargo test -p codex-core refresh_available_models_sorts_by_priority`
- `cargo test -p codex-core emit_feedback_request_tags_`
- `cargo test -p codex-core emit_feedback_auth_recovery_tags_`
- `cargo test -p codex-core auth_request_telemetry_context_tracks_attached_auth_and_retry_phase`
- `cargo test -p codex-core extract_response_debug_context_decodes_identity_headers`
- `cargo test -p codex-core identity_auth_details`
- `cargo test -p codex-core telemetry_error_messages_preserve_non_http_details`
- `cargo test -p codex-core --all-features --no-run`
- `cargo test -p codex-otel otel_export_routing_policy_routes_api_request_auth_observability`
- `cargo test -p codex-otel otel_export_routing_policy_routes_websocket_connect_auth_observability`
- `cargo test -p codex-otel otel_export_routing_policy_routes_websocket_request_transport_observability`
This PR changes app and connector enablement when `requirements.toml` is
present locally or via remote configuration.
For apps.* entries:
- `enabled = false` in `requirements.toml` overrides the user’s local
`config.toml` and forces the app to be disabled.
- `enabled = true` in `requirements.toml` does not re-enable an app the
user has disabled in config.toml.
This behavior applies whether or not the user has an explicit entry for
that app in `config.toml`. It also applies to cloud-managed policies and
configurations when the admin sets the override through
`requirements.toml`.
Scenarios tested and verified:
- Remote managed, user config (present) override
- Admin-defined policies & configurations include a connector override:
`[apps.<appID>]
enabled = false`
- User's config.toml has the same connector configured with `enabled =
true`
- TUI/App should show connector as disabled
- Connector should be unavailable for use in the composer
- Remote managed, user config (absent) override
- Admin-defined policies & configurations include a connector override:
`[apps.<appID>]
enabled = false`
- User's config.toml has no entry for the the same connector
- TUI/App should show connector as disabled
- Connector should be unavailable for use in the composer
- Locally managed, user config (present) override
- Local requirements.toml includes a connector override:
`[apps.<appID>]
enabled = false`
- User's config.toml has the same connector configured with `enabled =
true`
- TUI/App should show connector as disabled
- Connector should be unavailable for use in the composer
- Locally managed, user config (absent) override
- Local requirements.toml includes a connector override:
`[apps.<appID>]
enabled = false`
- User's config.toml has no entry for the the same connector
- TUI/App should show connector as disabled
- Connector should be unavailable for use in the composer
<img width="1446" height="753" alt="image"
src="https://github.com/user-attachments/assets/61c714ca-dcca-4952-8ad2-0afc16ff3835"
/>
<img width="595" height="233" alt="image"
src="https://github.com/user-attachments/assets/7c8ab147-8fd7-429a-89fb-591c21c15621"
/>
Refactors cloud requirements error handling to carry structured error
metadata and surfaces that metadata through JSON-RPC config-load
failures, including:
* adds typed CloudRequirementsLoadErrorCode values plus optional
statusCode
* marks thread/start, thread/resume, and thread/fork config failures
with structured cloud-requirements error data
Handle cloud requirements 401s with the same auth recovery flow as
normal requests, so permanent refresh failures surface the existing
user-facing auth message instead of a generic workspace-config load
error.
## Why
Enterprises can already constrain approvals, sandboxing, and web search
through `requirements.toml` and MDM, but feature flags were still only
configurable as managed defaults. That meant an enterprise could suggest
feature values, but it could not actually pin them.
This change closes that gap and makes enterprise feature requirements
behave like the other constrained settings. The effective feature set
now stays consistent with enterprise requirements during config load,
when config writes are validated, and when runtime code mutates feature
flags later in the session.
It also tightens the runtime API for managed features. `ManagedFeatures`
now follows the same constraint-oriented shape as `Constrained<T>`
instead of exposing panic-prone mutation helpers, and production code
can no longer construct it through an unconstrained `From<Features>`
path.
The PR also hardens the `compact_resume_fork` integration coverage on
Windows. After the feature-management changes,
`compact_resume_after_second_compaction_preserves_history` was
overflowing the libtest/Tokio thread stacks on Windows, so the test now
uses an explicit larger-stack harness as a pragmatic mitigation. That
may not be the ideal root-cause fix, and it merits a parallel
investigation into whether part of the async future chain should be
boxed to reduce stack pressure instead.
## What Changed
Enterprises can now pin feature values in `requirements.toml` with the
requirements-side `features` table:
```toml
[features]
personality = true
unified_exec = false
```
Only canonical feature keys are allowed in the requirements `features`
table; omitted keys remain unconstrained.
- Added a requirements-side pinned feature map to
`ConfigRequirementsToml`, threaded it through source-preserving
requirements merge and normalization in `codex-config`, and made the
TOML surface use `[features]` (while still accepting legacy
`[feature_requirements]` for compatibility).
- Exposed `featureRequirements` from `configRequirements/read`,
regenerated the JSON/TypeScript schema artifacts, and updated the
app-server README.
- Wrapped the effective feature set in `ManagedFeatures`, backed by
`ConstrainedWithSource<Features>`, and changed its API to mirror
`Constrained<T>`: `can_set(...)`, `set(...) -> ConstraintResult<()>`,
and result-returning `enable` / `disable` / `set_enabled` helpers.
- Removed the legacy-usage and bulk-map passthroughs from
`ManagedFeatures`; callers that need those behaviors now mutate a plain
`Features` value and reapply it through `set(...)`, so the constrained
wrapper remains the enforcement boundary.
- Removed the production loophole for constructing unconstrained
`ManagedFeatures`. Non-test code now creates it through the configured
feature-loading path, and `impl From<Features> for ManagedFeatures` is
restricted to `#[cfg(test)]`.
- Rejected legacy feature aliases in enterprise feature requirements,
and return a load error when a pinned combination cannot survive
dependency normalization.
- Validated config writes against enterprise feature requirements before
persisting changes, including explicit conflicting writes and
profile-specific feature states that normalize into invalid
combinations.
- Updated runtime and TUI feature-toggle paths to use the constrained
setter API and to persist or apply the effective post-constraint value
rather than the requested value.
- Updated the `core_test_support` Bazel target to include the bundled
core model-catalog fixtures in its runtime data, so helper code that
resolves `core/models.json` through runfiles works in remote Bazel test
environments.
- Renamed the core config test coverage to emphasize that effective
feature values are normalized at runtime, while conflicting persisted
config writes are rejected.
- Ran `compact_resume_after_second_compaction_preserves_history` inside
an explicit 8 MiB test thread and Tokio runtime worker stack, following
the existing larger-stack integration-test pattern, to keep the Windows
`compact_resume_fork` test slice from aborting while a parallel
investigation continues into whether some of the underlying async
futures should be boxed.
## Verification
- `cargo test -p codex-config`
- `cargo test -p codex-core feature_requirements_ -- --nocapture`
- `cargo test -p codex-core
load_requirements_toml_produces_expected_constraints -- --nocapture`
- `cargo test -p codex-core
compact_resume_after_second_compaction_preserves_history -- --nocapture`
- `cargo test -p codex-core compact_resume_fork -- --nocapture`
- Re-ran the built `codex-core` `tests/all` binary with
`RUST_MIN_STACK=262144` for
`compact_resume_after_second_compaction_preserves_history` to confirm
the explicit-stack harness fixes the deterministic low-stack repro.
- `cargo test -p codex-core`
- This still fails locally in unrelated integration areas that expect
the `codex` / `test_stdio_server` binaries or hit existing `search_tool`
wiremock mismatches.
## Docs
`developers.openai.com/codex` should document the requirements-side
`[features]` table for enterprise and MDM-managed configuration,
including that it only accepts canonical feature keys and that
conflicting config writes are rejected.
- Update the cloud requirements cache TTL to 30 minutes.
- Add a background job to refresh the cache every 5 minutes.
- Ensure there is only one refresh job per process.
We're loading these from the web on every startup. This puts them in a
local file with a 1hr TTL.
We sign the downloaded requirements with a key compiled into the Codex
CLI to prevent unsophisticated tampering (determined circumvention is
outside of our threat model: after all, one could just compile Codex
without any of these checks).
If any of the following are true, we ignore the local cache and re-fetch
from Cloud:
* The signature is invalid for the payload (== requirements, sign time,
ttl, user identity)
* The identity does not match the auth'd user's identity
* The TTL has expired
* We cannot parse requirements.toml from the payload
This PR makes it possible to disable live web search via an enterprise
config even if the user is running in `--yolo` mode (though cached web
search will still be available). To do this, create
`/etc/codex/requirements.toml` as follows:
```toml
# "live" is not allowed; "disabled" is allowed even though not listed explicitly.
allowed_web_search_modes = ["cached"]
```
Or set `requirements_toml_base64` MDM as explained on
https://developers.openai.com/codex/security/#locations.
### Why
- Enforce admin/MDM/`requirements.toml` constraints on web-search
behavior, independent of user config and per-turn sandbox defaults.
- Ensure per-turn config resolution and review-mode overrides never
crash when constraints are present.
### What
- Add `allowed_web_search_modes` to requirements parsing and surface it
in app-server v2 `ConfigRequirements` (`allowedWebSearchModes`), with
fixtures updated.
- Define a requirements allowlist type (`WebSearchModeRequirement`) and
normalize semantics:
- `disabled` is always implicitly allowed (even if not listed).
- An empty list is treated as `["disabled"]`.
- Make `Config.web_search_mode` a `Constrained<WebSearchMode>` and apply
requirements via `ConstrainedWithSource<WebSearchMode>`.
- Update per-turn resolution (`resolve_web_search_mode_for_turn`) to:
- Prefer `Live → Cached → Disabled` when
`SandboxPolicy::DangerFullAccess` is active (subject to requirements),
unless the user preference is explicitly `Disabled`.
- Otherwise, honor the user’s preferred mode, falling back to an allowed
mode when necessary.
- Update TUI `/debug-config` and app-server mapping to display
normalized `allowed_web_search_modes` (including implicit `disabled`).
- Fix web-search integration tests to assert cached behavior under
`SandboxPolicy::ReadOnly` (since `DangerFullAccess` legitimately prefers
`live` when allowed).
## Summary
I have read the contribution guidelines.
All changes in this PR are limited to text corrections and do not modify
any business logic, runtime behavior, or user-facing functionality.
## Details
This PR fixes several minor typos, including:
- `create` -> `crate`
- `analagous` -> `analogous`
- `apply-patch` -> `apply_patch`
- `codecs` -> `codex`
- ` '/" ` -> ` '/' `
- `Respesent` -> `Represent`
`requirements.toml` should be able to specify rules which always run.
My intention here was that these rules could only ever be restrictive,
which means the decision can be "prompt" or "forbidden" but never
"allow". A requirement of "you must always allow this command" didn't
make sense to me, but happy to be gaveled otherwise.
Rules already applies the most restrictive decision, so we can safely
merge these with rules found in other config folders.
Load requirements from Codex Backend. It only does this for enterprise
customers signed in with ChatGPT.
Todo in follow-up PRs:
* Add to app-server and exec too
* Switch from fail-open to fail-closed on failure
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