## Summary
The TUI biosafety block still included obsolete copy telling approved
researchers they may be able to apply for Trusted Access.
Remove that sentence and update the UI snapshot to match the approved
wording.
## Summary
Disable Nagle unconditionally for both exec-server Rendezvous WebSocket
connections.
- pass `disable_nagle=true` at the executor and harness connection call
sites
- keep the existing signed URL, protocol, and connection flow unchanged
- add no feature flag, rollout schema, path variant, or
experiment-specific telemetry
The companion internal PR enables `TCP_NODELAY` on accepted Rendezvous
sockets: https://github.com/openai/openai/pull/1082463
## Why
Rendezvous carries small, latency-sensitive relay and JSON-RPC frames.
Three staging runs of 30 steady-state `process/read` calls per
configuration measured p50 improving from 139.1 ms to 81.5 ms and p95
from 162.0 ms to 95.8 ms with Nagle disabled.
The expected packet overhead is small at the current connection scale.
We will use existing latency, error, packet, and CPU monitoring and
revert normally if production regresses.
## Rollout and rollback
The client and accepted-socket changes can deploy independently. New
connections receive the setting as each side deploys. Rollback is a
normal code revert; there is no persisted assignment or gate state to
unwind.
## Validation
- `just test -p codex-exec-server --lib`: 164 passed
- `just fix -p codex-exec-server`: passed
- `just fmt`: passed
- independent final review found no actionable issue
## Summary
Bio/Cyber safety surfaces in the TUI could send users to stale Trusted
Access pages, and safety buffering did not always expose the Help
Center.
This follow-up to #30317 adds the missing Learn more action, refreshes
the Bio access URL and block copy, and updates the affected snapshots
while preserving the existing retry and wait behavior.
## Why
The Bedrock GPT-5.6 catalog advertises `max`, but Codex treated it as an
opaque custom effort. That made the reasoning picker render it as
lowercase `max` while known efforts use productized labels.
Making `max` a known effort aligns catalog data, parsing, and UI
presentation without changing the `max` wire value or persisted
representation.
## What changed
- Add first-class `ReasoningEffort::Max` parsing and serialization.
- Use the typed effort in the Bedrock catalog and render it as `Max` in
the TUI.
- Preserve forward-compatible custom-effort coverage with a genuinely
unknown `future` value.
### Before
<img width="559" height="124" alt="Screenshot 2026-06-28 at 12 08 47 PM"
src="https://github.com/user-attachments/assets/7c43cf4f-020b-4605-9239-0a9c97eb7364"
/>
### After
<img width="558" height="107" alt="Screenshot 2026-06-28 at 12 09 10 PM"
src="https://github.com/user-attachments/assets/b9cc5ded-c940-43b4-b024-bba25abe0a17"
/>
## Summary
- restore the v1 clarification that requests for depth, research, or
investigation do not authorize subagent spawning
- restore guidance for keeping critical-path, urgent, tightly coupled,
or difficult work local
- update the focused v1 tool-search and spawn-description coverage
## Why
PR #27919 simplified the v1 `spawn_agent` prompt by removing its
delegation decision guidance. That left the authorization rule intact,
but removed the instructions that constrained what should be delegated
after spawning was authorized.
Restore those guardrails while preserving later support for explicit
delegation authorization from applicable AGENTS.md and skill
instructions. Multi-agent v2 prompts are unchanged.
## User impact
Models using the v1 multi-agent tool surface receive clearer guidance to
delegate independent side work while keeping blocking work on the main
rollout.
## Validation
- `just fmt`
- `git diff --check`
- tests not run locally per repository guidance; CI will validate the
focused coverage
## Summary
- add a false-by-default `include_skills_usage_instructions` model
metadata field
- enable the field for the bundled `gpt-5.5` model metadata
- consume the metadata in both core and extension skill rendering
- remove hardcoded legacy-model matching and its marker plumbing
## Why
The safety-buffering prompt is a modal TUI view, but the normal
successful-turn path only hid the running status indicator. If the turn
completed while the prompt was open, the stale modal remained over the
composer until the user dismissed it or another turn started.
This aligns the TUI with the app behavior: keep the safety notice
visible while the turn is active, then remove it when the turn becomes
terminal. It also prevents the stale retry action from changing the
model and reasoning effort for a future turn after the buffered turn has
already completed.
| New copy |
|---|
| <img width="1014" height="313" alt="CleanShot 2026-06-28 at 20 27 18"
src="https://github.com/user-attachments/assets/f0f37359-5d77-442f-add2-9d1874bdc422"
/> |
## What changed
- Clear the active safety-buffering view and retry state when a turn
completes successfully.
- Update the retry-capable message to say “Hang tight or retry with a
faster model”.
- Extend the safety-buffering regression coverage to verify that the
prompt remains visible after assistant output starts and disappears when
the turn completes.
- Update the TUI snapshot for the revised copy.
This is a follow-up to #29919.
## How to Test
1. Start a TUI turn that receives `model/safetyBuffering/updated` with
`showBufferingUi: true` and a `fasterModel`.
2. Confirm the prompt says “Hang tight or retry with a faster model”.
3. Let the turn continue and confirm the prompt remains visible while
the turn is active.
4. Let the turn finish successfully and confirm the prompt disappears
and the composer is restored without requiring an extra keypress.
5. Confirm a buffering update without a faster model still shows the
shorter non-retry message.
Targeted automated coverage:
- `just test -p codex-tui safety_buffering` — 4 passed.
- `just test -p codex-tui` — 2,951 passed; two unrelated Guardian
feature-flag tests failed identically on `main` in this environment.
The argument-comment lint was also audited manually. The workspace Bazel
invocation was blocked by a missing external LLVM `compiler-rt` BUILD
file, and the packaged per-crate fallback uses a nightly older than the
current `sqlx` minimum Rust version.
## Summary
- enable the remote plugin feature by default
- promote the remote plugin feature from under development to stable
- preserve the existing `features.remote_plugin` override for explicitly
disabling it
- keep legacy disabled-path coverage explicit in TUI and app-server
tests
## Impact
Remote plugin functionality is enabled by default for configurations
that do not set the feature flag. The existing Codex backend
authentication gate still applies.
## Validation
- `just fmt`
- `just test -p codex-features`
- `just test -p codex-tui
plugins_popup_remote_section_fallback_states_snapshot`
- targeted `codex-app-server` plugin-list and skills-list tests
- `git diff --check`
The full TUI and app-server suites were also exercised locally. All
remote-plugin-related coverage passed; unrelated local
sandbox/test-binary failures remain outside this change.
## Summary
Increase the external currentTime/read request timeout from 5 seconds to
10 seconds.
## Validation
- just fmt
- Focused app-server test build was stopped to defer validation to CI.
## Summary
- project effective marketplace/plugin config through the enterprise
source policy so blocked installed plugins become inactive
- filter plugin list/read/discovery and CLI marketplace source/snapshot
reporting using the same policy
- enforce source admission for background marketplace cache refreshes
- continue refreshing/upgrading independent marketplaces and plugins
when one entry fails, returning per-entry errors
- include policy-projected plugin state in cache and refresh keys so
requirement changes invalidate stale results
## Stack
This is PR 2 of 2 and is based on #29690. Review the admission model and
source matcher in #29690 first; this PR contains only runtime
enforcement.
## Test plan
- `just test -p codex-core-plugins` (287 tests)
- `just test -p codex-cli
plugin_list_ignores_implicit_system_marketplace_roots_without_manifests`
- `cargo check -p codex-cli -p codex-app-server --tests`
## Why
App-server clients that configure named execution environments need to
discover an environment's shell and working directory before selecting
it for a thread or turn. Because the environment can run on a different
operating system than app-server, its working directory is represented
as a canonical `file:` URI rather than a host-local path string. The
probe also needs a bounded response time: an exec-server that completes
initialization but never answers `environment/info` must not hold the
environment serialization queue indefinitely.
## What changed
- Add an experimental `environment/info` app-server RPC for named
environments.
- Route the probe through the managed environment connection and return
target-native shell metadata plus the default working directory as a
`PathUri`.
- Return connection and protocol failures as JSON-RPC errors.
- Bound the exec-server probe response to 30 seconds and remove
timed-out calls from the pending-request table so later environment
mutations can proceed.
- Cover successful responses, omitted working directories, unknown
environments, connection failures, and pending-call cleanup.
## Protocol examples
Request:
```json
{
"id": 42,
"method": "environment/info",
"params": {
"environmentId": "remote-a"
}
}
```
Successful response:
```json
{
"id": 42,
"result": {
"shell": {
"name": "zsh",
"path": "/bin/zsh"
},
"cwd": "file:///workspace"
}
}
```
If the exec-server initializes but does not answer the probe within 30
seconds:
```json
{
"id": 42,
"error": {
"code": -32603,
"message": "failed to get info for environment `remote-a`: exec-server protocol error: timed out waiting for exec-server `environment/info` response after 30s"
}
}
```
## Testing
- App-server integration coverage for successful info (including omitted
`cwd`), unknown environments, and connection failures.
- Exec-server RPC coverage verifying a timed-out call is removed from
the pending-request table.
---------
Co-authored-by: Michael Bolin <mbolin@openai.com>
Felipe Coury