Centralize slash command draft serialization on top of shlex so popup flows and queued replay use the same quoting and tokenization rules.
Co-authored-by: Codex <noreply@openai.com>
Pause queued replay on local slash actions that need app-side updates or popup dismissal, then resume once the app event queue and bottom pane are idle. Add regression coverage for queued theme replay and popup-gated resume.
Co-authored-by: Codex <noreply@openai.com>
Track whether /model effort and scope modifiers were provided so repeated sentinel values like default and global are rejected consistently.
Validation: cargo test -p codex-tui; just fix -p codex-tui; just fmt
Co-authored-by: Codex <noreply@openai.com>
Route interactive slash-command pickers through canonical serialized drafts so live dispatch and queued replay share one parser/executor path.
Validation: cargo test -p codex-tui; just fix -p codex-tui; just fmt
Co-authored-by: Codex <noreply@openai.com>
Mark popup-opening slash commands as requiring interaction, open them immediately instead of queueing bare drafts while a task is running, and make queued replay restore any legacy bare interactive command draft instead of opening UI mid-drain.
Co-authored-by: Codex <noreply@openai.com>
Serialize custom /review instructions with an explicit custom marker so queued replay cannot reinterpret branch-like text as a structured review target, and rename queued replay to better reflect that it drains inputs until blocked.
Co-authored-by: Codex <noreply@openai.com>
Keep bare /model and /review interactive while preserving serialized queue replay, restore queued slash drafts into the composer on interrupt, and align queued slash parsing with the same feature-gated lookup used by the composer.
Co-authored-by: Codex <noreply@openai.com>
Unify queued slash commands as serialized drafts, route popup actions through the same replay path, and stop replay after commands that submit a turn.
Co-authored-by: Codex <noreply@openai.com>
Limit Esc interrupts to an empty composer when no popup is active, while preserving the pending-steer interrupt path.
This keeps dialog dismissal on Esc working normally without interrupting the running conversation.
Co-authored-by: Codex <noreply@openai.com>
Keep interactive slash flows usable while a turn is running, and queue the resulting action instead of the bare slash token.
Also let Esc interrupt through popup-active states so queued drafts restore without dropping queued slash actions.
Co-authored-by: Codex <noreply@openai.com>
Restore only queued user-message drafts into the composer when a turn is interrupted, keep queued slash-command actions replayable, and cover the interrupt replay behavior in codex-tui tests.
Co-authored-by: Codex <noreply@openai.com>
Drop the unused bottom-pane mention-binding drain helpers introduced by the queueing refactor and switch the affected tests to the existing non-destructive composer mention accessor.
Co-authored-by: Codex <noreply@openai.com>
Allow slash commands entered during a running turn to be queued and replayed after the turn completes, including /review and inline slash-command variants tested in codex-tui.
Co-authored-by: Codex <noreply@openai.com>
## Summary
- reuse a guardian subagent session across approvals so reviews keep a
stable prompt cache key and avoid one-shot startup overhead
- clear the guardian child history before each review so prior guardian
decisions do not leak into later approvals
- include the `smart_approvals` -> `guardian_approval` feature flag
rename in the same PR to minimize release latency on a very tight
timeline
- add regression coverage for prompt-cache-key reuse without
prior-review prompt bleed
## Request
- Bug/enhancement request: internal guardian prompt-cache and latency
improvement request
---------
Co-authored-by: Codex <noreply@openai.com>
### Motivation
- Interrupting a running turn (Ctrl+C / Esc) currently also terminates
long‑running background shells, which is surprising for workflows like
local dev servers or file watchers.
- The existing cleanup command name was confusing; callers expect an
explicit command to stop background terminals rather than a UI clear
action.
- Make background‑shell termination explicit and surface a clearer
command name while preserving backward compatibility.
### Description
- Renamed the background‑terminal cleanup slash command from `Clean`
(`/clean`) to `Stop` (`/stop`) and kept `clean` as an alias in the
command parsing/visibility layer, updated the user descriptions and
command popup wiring accordingly.
- Updated the unified‑exec footer text and snapshots to point to `/stop`
(and trimmed corresponding snapshot output to match the new label).
- Changed interrupt behavior so `Op::Interrupt` (Ctrl+C / Esc interrupt)
no longer closes or clears tracked unified exec / background terminal
processes in the TUI or core cleanup path; background shells are now
preserved after an interrupt.
- Updated protocol/docs to clarify that `turn/interrupt` (or
`Op::Interrupt`) interrupts the active turn but does not terminate
background terminals, and that `thread/backgroundTerminals/clean` is the
explicit API to stop those shells.
- Updated unit/integration tests and insta snapshots in the TUI and core
unified‑exec suites to reflect the new semantics and command name.
### Testing
- Ran formatting with `just fmt` in `codex-rs` (succeeded).
- Ran `cargo test -p codex-protocol` (succeeded).
- Attempted `cargo test -p codex-tui` but the build could not complete
in this environment due to a native build dependency that requires
`libcap` development headers (the `codex-linux-sandbox` vendored build
step); install `libcap-dev` / make `libcap.pc` available in
`PKG_CONFIG_PATH` to run the TUI test suite locally.
- Updated and accepted the affected `insta` snapshots for the TUI
changes so visual diffs reflect the new `/stop` wording and preserved
interrupt behavior.
------
[Codex
Task](https://chatgpt.com/codex/tasks/task_i_69b39c44b6dc8323bd133ae206310fae)
- Normalize guardian assessment path serialization to use forward
slashes for cross-platform stability.
- Seed workspace-write defaults in the Smart Approvals
override-turn-context test so Windows and non-Windows selection flows
are consistent.
---------
Co-authored-by: Codex <noreply@openai.com>
Co-authored-by: Charles Cunningham <ccunningham@openai.com>
## Summary
- add `approvals_reviewer = "user" | "guardian_subagent"` as the runtime
control for who reviews approval requests
- route Smart Approvals guardian review through core for command
execution, file changes, managed-network approvals, MCP approvals, and
delegated/subagent approval flows
- expose guardian review in app-server with temporary unstable
`item/autoApprovalReview/{started,completed}` notifications carrying
`targetItemId`, `review`, and `action`
- update the TUI so Smart Approvals can be enabled from `/experimental`,
aligned with the matching `/approvals` mode, and surfaced clearly while
reviews are pending or resolved
## Runtime model
This PR does not introduce a new `approval_policy`.
Instead:
- `approval_policy` still controls when approval is needed
- `approvals_reviewer` controls who reviewable approval requests are
routed to:
- `user`
- `guardian_subagent`
`guardian_subagent` is a carefully prompted reviewer subagent that
gathers relevant context and applies a risk-based decision framework
before approving or denying the request.
The `smart_approvals` feature flag is a rollout/UI gate. Core runtime
behavior keys off `approvals_reviewer`.
When Smart Approvals is enabled from the TUI, it also switches the
current `/approvals` settings to the matching Smart Approvals mode so
users immediately see guardian review in the active thread:
- `approval_policy = on-request`
- `approvals_reviewer = guardian_subagent`
- `sandbox_mode = workspace-write`
Users can still change `/approvals` afterward.
Config-load behavior stays intentionally narrow:
- plain `smart_approvals = true` in `config.toml` remains just the
rollout/UI gate and does not auto-set `approvals_reviewer`
- the deprecated `guardian_approval = true` alias migration does
backfill `approvals_reviewer = "guardian_subagent"` in the same scope
when that reviewer is not already configured there, so old configs
preserve their original guardian-enabled behavior
ARC remains a separate safety check. For MCP tool approvals, ARC
escalations now flow into the configured reviewer instead of always
bypassing guardian and forcing manual review.
## Config stability
The runtime reviewer override is stable, but the config-backed
app-server protocol shape is still settling.
- `thread/start`, `thread/resume`, and `turn/start` keep stable
`approvalsReviewer` overrides
- the config-backed `approvals_reviewer` exposure returned via
`config/read` (including profile-level config) is now marked
`[UNSTABLE]` / experimental in the app-server protocol until we are more
confident in that config surface
## App-server surface
This PR intentionally keeps the guardian app-server shape narrow and
temporary.
It adds generic unstable lifecycle notifications:
- `item/autoApprovalReview/started`
- `item/autoApprovalReview/completed`
with payloads of the form:
- `{ threadId, turnId, targetItemId, review, action? }`
`review` is currently:
- `{ status, riskScore?, riskLevel?, rationale? }`
- where `status` is one of `inProgress`, `approved`, `denied`, or
`aborted`
`action` carries the guardian action summary payload from core when
available. This lets clients render temporary standalone pending-review
UI, including parallel reviews, even when the underlying tool item has
not been emitted yet.
These notifications are explicitly documented as `[UNSTABLE]` and
expected to change soon.
This PR does **not** persist guardian review state onto `thread/read`
tool items. The intended follow-up is to attach guardian review state to
the reviewed tool item lifecycle instead, which would improve
consistency with manual approvals and allow thread history / reconnect
flows to replay guardian review state directly.
## TUI behavior
- `/experimental` exposes the rollout gate as `Smart Approvals`
- enabling it in the TUI enables the feature and switches the current
session to the matching Smart Approvals `/approvals` mode
- disabling it in the TUI clears the persisted `approvals_reviewer`
override when appropriate and returns the session to default manual
review when the effective reviewer changes
- `/approvals` still exposes the reviewer choice directly
- the TUI renders:
- pending guardian review state in the live status footer, including
parallel review aggregation
- resolved approval/denial state in history
## Scope notes
This PR includes the supporting core/runtime work needed to make Smart
Approvals usable end-to-end:
- shell / unified-exec / apply_patch / managed-network / MCP guardian
review
- delegated/subagent approval routing into guardian review
- guardian review risk metadata and action summaries for app-server/TUI
- config/profile/TUI handling for `smart_approvals`, `guardian_approval`
alias migration, and `approvals_reviewer`
- a small internal cleanup of delegated approval forwarding to dedupe
fallback paths and simplify guardian-vs-parent approval waiting (no
intended behavior change)
Out of scope for this PR:
- redesigning the existing manual approval protocol shapes
- persisting guardian review state onto app-server `ThreadItem`s
- delegated MCP elicitation auto-review (the current delegated MCP
guardian shim only covers the legacy `RequestUserInput` path)
---------
Co-authored-by: Codex <noreply@openai.com>
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"
/>
## Summary
This lets skill loading split `permissions.network` into two distinct
pieces:
- `permissions.network.enabled` still feeds the skill
`PermissionProfile` and remains the coarse gate for whether the skill
can use network access at all.
- `permissions.network.allowed_domains` and
`permissions.network.denied_domains` are lifted into a new
`SkillManagedNetworkOverride` so managed-network sessions can start
per-skill scoped proxies with the right domain overrides.
The change also updates `SkillMetadata` construction sites and adds
loader tests covering YAML parsing plus normalization of the network
gate vs. domain override fields.
## Follow-up
A PR that uses the network_override to spin up a skill-specific proxy if
network_override is not none.
- add model and reasoning effort to app-server collab spawn items and
notifications
- regenerate app-server protocol schemas for the new fields
---------
Co-authored-by: Codex <noreply@openai.com>
- include the requested sub-agent model and reasoning effort in the
spawn begin event\n- render that metadata next to the spawned agent name
and role in the TUI transcript
---------
Co-authored-by: Codex <noreply@openai.com>
(Experimental)
This PR adds a first MVP for hooks, with SessionStart and Stop
The core design is:
- hooks live in a dedicated engine under codex-rs/hooks
- each hook type has its own event-specific file
- hook execution is synchronous and blocks normal turn progression while
running
- matching hooks run in parallel, then their results are aggregated into
a normalized HookRunSummary
On the AppServer side, hooks are exposed as operational metadata rather
than transcript-native items:
- new live notifications: hook/started, hook/completed
- persisted/replayed hook results live on Turn.hookRuns
- we intentionally did not add hook-specific ThreadItem variants
Hooks messages are not persisted, they remain ephemeral. The context
changes they add are (they get appended to the user's prompt)
## Summary
- align the guardian permission test with the actual sandbox policy it
widens and use a slightly larger Windows-only timeout budget
- expose the additional-permissions normalization helper to the guardian
test module
- replace the guardian popup snapshot assertion with targeted string
assertions
## Why this fixes the flake
This group was carrying two separate sources of drift. The guardian core
test widened derived sandbox policies without updating the source
sandbox policy, and it used a Windows command/timeout combination that
was too tight on slower runners. Separately, the TUI test was
snapshotting the full popup even though unrelated feature text changes
were the only thing moving. The new assertions keep coverage on the
guardian entry itself while removing unrelated snapshot churn.
## Summary
- split the pending input preview into labeled pending-steer and queued
follow-up sections
- explain that pending steers submit after the next tool call and that
Esc can interrupt and send them immediately
- treat Esc as an interrupt-plus-resubmit path when pending steers
exist, with updated TUI snapshots and tests
Queues and steers:
<img width="1038" height="263" alt="Screenshot 2026-03-07 at 10 17
17 PM"
src="https://github.com/user-attachments/assets/4ef433ef-27a3-4b7c-ad69-2046f6eb89e6"
/>
After pressing Esc:
<img width="1046" height="320" alt="Screenshot 2026-03-07 at 10 17
21 PM"
src="https://github.com/user-attachments/assets/0f4d89e0-b6b9-486a-9f04-b6021f169ba7"
/>
## Codex author
`codex resume 019cc6f4-2cca-7803-b717-8264526dbd97`
---------
Co-authored-by: Codex <noreply@openai.com>
The TUI was showing the raw configured `model_context_window` until the
first
`TokenCount` event arrived, even though core had already emitted the
effective
runtime window on `TurnStarted`. This made the footer, status-line
context
window, and `/status` output briefly inconsistent for models/configs
where the
effective window differs from the configured value, such as the
`gpt-5.4`
1,000,000-token override reported in #13623.
Update the TUI to cache `TurnStarted.model_context_window` immediately
so
pre-token-count displays use the runtime effective window, and add
regression
coverage for the startup path.
---------
Co-authored-by: Charles Cunningham <ccunningham@openai.com>
Co-authored-by: Codex <noreply@openai.com>
## Summary
#13910 was merged with some unused imports, let's fix this
## Testing
- [x] Let's make sure CI is green
---------
Co-authored-by: Charles Cunningham <ccunningham@openai.com>
Co-authored-by: Codex <noreply@openai.com>
## Summary
- add the guardian reviewer flow for `on-request` approvals in command,
patch, sandbox-retry, and managed-network approval paths
- keep guardian behind `features.guardian_approval` instead of exposing
a public `approval_policy = guardian` mode
- route ordinary `OnRequest` approvals to the guardian subagent when the
feature is enabled, without changing the public approval-mode surface
## Public model
- public approval modes stay unchanged
- guardian is enabled via `features.guardian_approval`
- when that feature is on, `approval_policy = on-request` keeps the same
approval boundaries but sends those approval requests to the guardian
reviewer instead of the user
- `/experimental` only persists the feature flag; it does not rewrite
`approval_policy`
- CLI and app-server no longer expose a separate `guardian` approval
mode in this PR
## Guardian reviewer
- the reviewer runs as a normal subagent and reuses the existing
subagent/thread machinery
- it is locked to a read-only sandbox and `approval_policy = never`
- it does not inherit user/project exec-policy rules
- it prefers `gpt-5.4` when the current provider exposes it, otherwise
falls back to the parent turn's active model
- it fail-closes on timeout, startup failure, malformed output, or any
other review error
- it currently auto-approves only when `risk_score < 80`
## Review context and policy
- guardian mirrors `OnRequest` approval semantics rather than
introducing a separate approval policy
- explicit `require_escalated` requests follow the same approval surface
as `OnRequest`; the difference is only who reviews them
- managed-network allowlist misses that enter the approval flow are also
reviewed by guardian
- the review prompt includes bounded recent transcript history plus
recent tool call/result evidence
- transcript entries and planned-action strings are truncated with
explicit `<guardian_truncated ... />` markers so large payloads stay
bounded
- apply-patch reviews include the full patch content (without
duplicating the structured `changes` payload)
- the guardian request layout is snapshot-tested using the same
model-visible Responses request formatter used elsewhere in core
## Guardian network behavior
- the guardian subagent inherits the parent session's managed-network
allowlist when one exists, so it can use the same approved network
surface while reviewing
- exact session-scoped network approvals are copied into the guardian
session with protocol/port scope preserved
- those copied approvals are now seeded before the guardian's first turn
is submitted, so inherited approvals are available during any immediate
review-time checks
## Out of scope / follow-ups
- the sandbox-permission validation split was pulled into a separate PR
and is not part of this diff
- a future follow-up can enable `serde_json` preserve-order in
`codex-core` and then simplify the guardian action rendering further
---------
Co-authored-by: Codex <noreply@openai.com>
Addresses feature request #13660
Adds new option to `/statusline` so the status line can display "fast
on" or "fast off"
Summary
- introduce a `FastMode` status-line item so `/statusline` can render
explicit `Fast on`/`Fast off` text for the service tier
- wire the item into the picker metadata and resolve its string from
`ChatWidget` without adding any unrelated `thread-name` logic or storage
changes
- ensure the refresh paths keep the cached footer in sync when the
service tier (fast mode) changes
Testing
- Manually tested
Here's what it looks like when enabled:
<img width="366" height="75" alt="image"
src="https://github.com/user-attachments/assets/7f992d2b-6dab-49ed-aa43-ad496f56f193"
/>
## Summary
This is a purely mechanical refactor of `OtelManager` ->
`SessionTelemetry` to better convey what the struct is doing. No
behavior change.
## Why
`OtelManager` ended up sounding much broader than what this type
actually does. It doesn't manage OTEL globally; it's the session-scoped
telemetry surface for emitting log/trace events and recording metrics
with consistent session metadata (`app_version`, `model`, `slug`,
`originator`, etc.).
`SessionTelemetry` is a more accurate name, and updating the call sites
makes that boundary a lot easier to follow.
## Validation
- `just fmt`
- `cargo test -p codex-otel`
- `cargo test -p codex-core`
#### What
Add structured `@plugin` parsing and TUI support for plugin mentions.
- Core: switch from plain-text `@display_name` parsing to structured
`plugin://...` mentions via `UserInput::Mention` and
`[$...](plugin://...)` links in text, same pattern as apps/skills.
- TUI: add plugin mention popup, autocomplete, and chips when typing
`$`. Load plugin capability summaries and feed them into the composer;
plugin mentions appear alongside skills and apps.
- Generalize mention parsing to a sigil parameter, still defaults to `$`
<img width="797" height="119" alt="image"
src="https://github.com/user-attachments/assets/f0fe2658-d908-4927-9139-73f850805ceb"
/>
Builds on #13510. Currently clients have to build their own `id` via
`plugin@marketplace` and filter plugins to show by `enabled`, but we
will add `id` and `available` as fields returned from `plugin/list`
soon.
####Tests
Added tests, verified locally.
## Note-- added plugin mentions via @, but that conflicts with file
mentions
depends and builds upon #13433.
- introduces explicit `@plugin` mentions. this injects the plugin's mcp
servers, app names, and skill name format into turn context as a dev
message.
- we do not yet have UI for these mentions, so we currently parse raw
text (as opposed to skills and apps which have UI chips, autocomplete,
etc.) this depends on a `plugins/list` app-server endpoint we can feed
the UI with, which is upcoming
- also annotate mcp and app tool descriptions with the plugin(s) they
come from. this gives the model a first class way of understanding what
tools come from which plugins, which will help implicit invocation.
### Tests
Added and updated tests, unit and integration. Also confirmed locally a
raw `@plugin` injects the dev message, and the model knows about its
apps, mcps, and skills.
- add a speed row to the startup/session header under the model row
- render the speed row with the same styling pattern as the model row,
using /fast to change
- show only Fast or Standard to users and update the affected snapshots
---------
Co-authored-by: Codex <noreply@openai.com>
Addresses #13478
Summary
- Add two new scopes for `tui.notifications` config: `plan-mode-prompt`
and `user-input-requested`.
- Add Plan Mode prompt and user-input-requested notifications to the TUI
so these events surface consistently outside of plan mode
- Add helpers and tests to ensure the new notification types publish the
right titles, summaries, and type tags for filtering
- Add prioritization mechanism to fix an existing bug where one
notification event could arbitrarily overwrite others
Testing
- Manually tested plan mode to ensure that notification appeared
## 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.
## Summary
- submit `Enter` steers immediately while a turn is already running
instead of routing them through `queued_user_messages`
- keep those submitted steers visible in the footer as `pending_steers`
until core records them as a user message or aborts the turn
- reconcile pending steers on `ItemCompleted(UserMessage)`, not
`RawResponseItem`
- emit user-message item lifecycle for leftover pending input at task
finish, then remove the TUI `TurnComplete` fallback
- keep `queued_user_messages` for actual queued drafts, rendered below
pending steers
## Problem
While the assistant was generating, pressing `Enter` could send the
input into `queued_user_messages`. That queue only drains after the turn
ends, so ordinary steers behaved like queued drafts instead of landing
at the next core sampling boundary.
The first version of this fix also used `RawResponseItem` to decide when
a steer had landed. Review feedback was that this is the wrong
abstraction for client behavior.
There was also a late edge case in core: if pending steer input was
accepted after the final sampling decision but before `TurnComplete`,
core would record that user message into history at task finish without
emitting `ItemStarted(UserMessage)` / `ItemCompleted(UserMessage)`. TUI
had a fallback to paper over that gap locally.
## Approach
- `Enter` during an active turn now submits a normal `Op::UserTurn`
immediately
- TUI keeps a local pending-steer preview instead of rendering that user
message into history immediately
- when core records the steer as `ItemCompleted(UserMessage)`, TUI
matches and removes the corresponding pending preview, then renders the
committed user message
- core now emits the same user-message lifecycle when
`on_task_finished(...)` drains leftover pending user input, before
`TurnComplete`
- with that lifecycle gap closed in core, TUI no longer needs to flush
pending steers into history on `TurnComplete`
- if the turn is interrupted, pending steers and queued drafts are both
restored into the composer, with pending steers first
## Notes
- `Tab` still uses the real queued-message path
- `queued_user_messages` and `pending_steers` are separate state with
separate semantics
- the pending-steer matching key is built directly from `UserInput`
- this removes the new TUI dependency on `RawResponseItem`
## Validation
- `just fmt`
- `cargo test -p codex-core
task_finish_emits_turn_item_lifecycle_for_leftover_pending_user_input --
--nocapture`
- `cargo test -p codex-tui`
followup to https://github.com/openai/codex/pull/13212 to expose fast
tier controls to app server
(majority of this PR is generated schema jsons - actual code is +69 /
-35 and +24 tests )
- add service tier fields to the app-server protocol surfaces used by
thread lifecycle, turn start, config, and session configured events
- thread service tier through the app-server message processor and core
thread config snapshots
- allow runtime config overrides to carry service tier for app-server
callers
cleanup:
- Removing useless "legacy" code supporting "standard" - we moved to
None | "fast", so "standard" is not needed.
