zsh fork PR stack:
- https://github.com/openai/codex/pull/12051👈
- https://github.com/openai/codex/pull/12052
With upcoming support for a fork of zsh that allows us to intercept
`execve` and run execpolicy checks for each subcommand as part of a
`CommandExecution`, it will be possible for there to be multiple
approval requests for a shell command like `/path/to/zsh -lc 'git status
&& rg \"TODO\" src && make test'`.
To support that, this PR introduces a new `approval_id` field across
core, protocol, and app-server so that we can associate approvals
properly for subcommands.
### Summary
Ensure that we use the model value from the response header only so that
we are guaranteed with the correct slug name. We are no longer checking
against the model value from response so that we are less likely to have
false positive.
There are two different treatments - for SSE we use the header from the
response and for websocket we check top-level events.
rm `remote_models` feature flag.
We see issues like #11527 when a user has `remote_models` disabled, as
we always use the default fallback `ModelInfo`. This causes issues with
model performance.
Builds on #11690, which helps by warning the user when they are using
the default fallback. This PR will make that happen much less frequently
as an accidental consequence of disabling `remote_models`.
### Summary
Builiding off
5c75aa7b89 (diff-058ae8f109a8b84b4b79bbfa45f522c2233b9d9e139696044ae374d50b6196e0),
we have created a `model/rerouted` notification that captures the event
so that consumers can render as expected. Keep the `EventMsg::Warning`
path in core so that this does not affect TUI rendering.
`model/rerouted` is meant to be generic to account for future usage
including capacity planning etc.
## Summary
This PR centralizes model-visible state diffing for turn context updates
into one module, while keeping existing behavior and call sites stable.
### What changed
- Added `core/src/context_updates.rs` with the consolidated diffing
logic for:
- environment context updates
- permissions/policy updates
- collaboration mode updates
- model-instruction switch updates
- personality updates
- Added `BuildSettingsUpdateItemsParams` so required dependencies are
passed explicitly.
- Updated `Session::build_settings_update_items` in `core/src/codex.rs`
to delegate to the centralized module.
- Reused the same centralized `personality_message_for` helper from
initial-context assembly to avoid duplicated logic.
- Registered the new module in `core/src/lib.rs`.
## Why
This is a minimal, shippable step toward the model-visible-state design:
all state diff decisions for turn-context update items now live in one
place, improving reviewability and reducing drift risk without expanding
scope.
## Behavior
- Intended to be behavior-preserving.
- No protocol/schema changes.
- No call-site behavior changes beyond routing through the new
centralized logic.
## Testing
Ran targeted tests in this worktree:
- `cargo test -p codex-core
build_settings_update_items_emits_environment_item_for_network_changes`
- `cargo test -p codex-core collaboration_instructions --test all`
Both passed.
## Codex author
`codex resume 019c540f-3951-7352-a3fa-6f07b834d4ce`
Add per-turn notice when a request is downgraded to a fallback model due
to cyber safety checks.
**Changes**
- codex-api: Emit a ServerModel event based on the openai-model response
header and/or response payload (SSE + WebSocket), including when the
model changes mid-stream.
- core: When the server-reported model differs from the requested model,
emit a single per-turn warning explaining the reroute to gpt-5.2 and
directing users to Trusted
Access verification and the cyber safety explainer.
- app-server (v2): Surface these cyber model-routing warnings as
synthetic userMessage items with text prefixed by Warning: (and document
this behavior).
## Summary
This feature is now reasonably stable, let's remove it so we can
simplify our upcoming iterations here.
## Testing
- [x] Existing tests pass
###### Context
unknown model warning added in #11690 has
[issues](https://github.com/openai/codex/actions/runs/22047424710/job/63700733887)
on ubuntu runners because we potentially emit it on all new turns,
including ones with intentionally fake models (i.e., `mock-model` in a
test).
###### Fix
change the warning to only emit on user turns/review turns.
###### Tests
CI now passes on ubuntu, still passes locally
### What changed
1. Removed per-turn MCP selection reset in `core/src/tasks/mod.rs`.
2. Added `SessionState::set_mcp_tool_selection(Vec<String>)` in
`core/src/state/session.rs` for authoritative restore behavior (deduped,
order-preserving, empty clears).
3. Added rollout parsing in `core/src/codex.rs` to recover
`active_selected_tools` from prior `search_tool_bm25` outputs:
- tracks matching `call_id`s
- parses function output text JSON
- extracts `active_selected_tools`
- latest valid payload wins
- malformed/non-matching payloads are ignored
4. Applied restore logic to resumed and forked startup paths in
`core/src/codex.rs`.
5. Updated instruction text to session/thread scope in
`core/templates/search_tool/tool_description.md`.
6. Expanded tests in `core/tests/suite/search_tool.rs`, plus unit
coverage in:
- `core/src/codex.rs`
- `core/src/state/session.rs`
### Behavior after change
1. Search activates matched tools.
2. Additional searches union into active selection.
3. Selection survives new turns in the same thread.
4. Resume/fork restores selection from rollout history.
5. Separate threads do not inherit selection unless forked.
### What
It's currently unclear when the harness falls back to the default,
generic `ModelInfo`. This happens when the `remote_models` feature is
disabled or the model is truly unknown, and can lead to bad performance
and issues in the harness.
Add a user-facing warning when this happens so they are aware when their
setup is broken.
### Tests
Added tests, tested locally.
## Summary
- add a distinct `linux_bubblewrap` sandbox tag when the Linux
bubblewrap pipeline feature is enabled
- thread the bubblewrap feature flag into sandbox tag generation for:
- turn metadata header emission
- tool telemetry metric tags and after-tool-use hooks
- add focused unit tests for `sandbox_tag` precedence and Linux
bubblewrap behavior
## Validation
- `just fmt`
- `cargo clippy -p codex-core --all-targets`
- `cargo test -p codex-core sandbox_tags::tests`
- started `cargo test -p codex-core` and stopped it per request
Co-authored-by: Codex <199175422+chatgpt-codex-connector[bot]@users.noreply.github.com>
### Description
#### Summary
Introduces the core plumbing required for structured network approvals
#### What changed
- Added structured network policy decision modeling in core.
- Added approval payload/context types needed for network approval
semantics.
- Wired shell/unified-exec runtime plumbing to consume structured
decisions.
- Updated related core error/event surfaces for structured handling.
- Updated protocol plumbing used by core approval flow.
- Included small CLI debug sandbox compatibility updates needed by this
layer.
#### Why
establishes the minimal backend foundation for network approvals without
yet changing high-level orchestration or TUI behavior.
#### Notes
- Behavior remains constrained by existing requirements/config gating.
- Follow-up PRs in the stack handle orchestration, UX, and app-server
integration.
---------
Co-authored-by: Codex <199175422+chatgpt-codex-connector[bot]@users.noreply.github.com>
