This PR is part of the effort to move the TUI on top of the app server.
In a previous PR, we introduced an in-process app server and moved
`exec` on top of it.
For the TUI, we want to do the migration in stages. The app server
doesn't currently expose all of the functionality required by the TUI,
so we're going to need to support a hybrid approach as we make the
transition.
This PR changes the TUI initialization to instantiate an in-process app
server and access its `AuthManager` and `ThreadManager` rather than
constructing its own copies. It also adds a placeholder TUI event
handler that will eventually translate app server events into TUI
events. App server notifications are accepted but ignored for now. It
also adds proper shutdown of the app server when the TUI terminates.
## Summary
This PR keeps app-server RPC request trace context alive for the full
lifetime of the work that request kicks off (e.g. for `thread/start`,
this is `app-server rpc handler -> tokio background task -> core op
submissions`). Previously we lose trace lineage once the request handler
returns or hands work off to background tasks.
This approach is especially relevant for `thread/start` and other RPC
handlers that run in a non-blocking way. In the near future we'll most
likely want to make all app-server handlers run in a non-blocking way by
default, and only queue operations that must operate in order (e.g.
thread RPCs per thread?), so we want to make sure tracing in app-server
just generally works.
Depends on https://github.com/openai/codex/pull/14300
**Before**
<img width="155" height="207" alt="image"
src="https://github.com/user-attachments/assets/c9487459-36f1-436c-beb7-fafeb40737af"
/>
**After**
<img width="299" height="337" alt="image"
src="https://github.com/user-attachments/assets/727392b2-d072-4427-9dc4-0502d8652dea"
/>
## What changed
- Keep request-scoped trace context around until we send the final
response or error, or the connection closes.
- Thread that trace context through detached `thread/start` work so
background startup stays attached to the originating request.
- Pass request trace context through to downstream core operations,
including:
- thread creation
- resume/fork flows
- turn submission
- review
- interrupt
- realtime conversation operations
- Add tracing tests that verify:
- remote W3C trace context is preserved for `thread/start`
- remote W3C trace context is preserved for `turn/start`
- downstream core spans stay under the originating request span
- request-scoped tracing state is cleaned up correctly
- Clean up shutdown behavior so detached background tasks and spawned
threads are drained before process exit.
## What changed
- `app-server` now sends initialize notifications to the specific
websocket connection before that connection is marked outbound-ready.
- `message_processor` now exposes the forwarding hook needed to target
that initialize delivery path.
## Why this fixes the flake
- This was a real websocket ordering bug.
- The old code allowed “connection is ready for outbound broadcasts” to
become true before the initialize notification had been routed to the
intended client.
- On CI this showed up as a race where tests would occasionally miss or
misorder initialize delivery depending on scheduler timing.
- Sending initialize to the exact connection first, then exposing it to
the general outbound path, removes that race instead of hiding it with
timing slack.
## Scope
- Production logic change.
This is a subset of PR #13636. See that PR for a full overview of the
architectural change.
This PR implements the in-process app server and modifies the
non-interactive "exec" entry point to use the app server.
---------
Co-authored-by: Felipe Coury <felipe.coury@gmail.com>
1. Add a synced curated plugin marketplace and include it in marketplace
discovery.
2. Expose optional plugin.json interface metadata in plugin/list
3. Tighten plugin and marketplace path handling using validated absolute
paths.
4. Let manifests override skill, MCP, and app config paths.
5. Restrict plugin enablement/config loading to the user config layer so
plugin enablement is at global level
## Summary
- write app-server SQLite logs at TRACE level when SQLite is enabled
- source app-server `/feedback` log attachments from SQLite for the
requested thread when available
- flush buffered SQLite log writes before `/feedback` queries them so
newly emitted events are not lost behind the async inserter
- include same-process threadless SQLite rows in those `/feedback` logs
so the attachment matches the process-wide feedback buffer more closely
- keep the existing in-memory ring buffer fallback unchanged, including
when the SQLite query returns no rows
## Details
- add a byte-bounded `query_feedback_logs` helper in `codex-state` so
`/feedback` does not fetch all rows before truncating
- scope SQLite feedback logs to the requested thread plus threadless
rows from the same `process_uuid`
- format exported SQLite feedback lines with the log level prefix to
better match the in-memory feedback formatter
- add an explicit `LogDbLayer::flush()` control path and await it in
app-server before querying SQLite for feedback logs
- pass optional SQLite log bytes through `codex-feedback` as the
`codex-logs.log` attachment override
- leave TUI behavior unchanged apart from the updated `upload_feedback`
call signature
- add regression coverage for:
- newest-within-budget ordering
- excluding oversized newest rows
- including same-process threadless rows
- keeping the newest suffix across mixed thread and threadless rows
- matching the feedback formatter shape aside from span prefixes
- falling back to the in-memory snapshot when SQLite returns no logs
- flushing buffered SQLite rows before querying
## Follow-up
- SQLite feedback exports still do not reproduce span prefixes like
`feedback-thread{thread_id=...}:`; there is a `TODO(ccunningham)` in
`codex-rs/state/src/log_db.rs` for that follow-up.
## Testing
- `cd codex-rs && cargo test -p codex-state`
- `cd codex-rs && cargo test -p codex-app-server`
- `cd codex-rs && just fmt`
This is a follow-up for https://github.com/openai/codex/pull/13047
## Why
We had a race where `turn/started` could be observed before the thread
had actually transitioned to `Active`. This was because we eagerly
emitted `turn/started` in the request handler for `turn/start` (and
`review/start`).
That was showing up as flaky `thread/resume` tests, but the real issue
was broader: a client could see `turn/started` and still get back an
idle thread immediately afterward.
The first idea was to eagerly call
`thread_watch_manager.note_turn_started(...)` from the `turn/start`
request path. That turns out to be unsafe, because
`submit(Op::UserInput)` only queues work. If a turn starts and completes
quickly, request-path bookkeeping can race with the real lifecycle
events and leave stale running state behind.
**The real fix** is to move `turn/started` to emit only after the turn
_actually_ starts, so we do that by waiting for the
`EventMsg::TurnStarted` notification emitted by codex core. We do this
for both `turn/start` and `review/start`.
I also verified this change is safe for our first-party codex apps -
they don't have any assumptions that `turn/started` is emitted before
the RPC response to `turn/start` (which is correct anyway).
I also removed `single_client_mode` since it isn't really necessary now.
## Testing
- `cargo test -p codex-app-server thread_resume -- --nocapture`
- `cargo test -p codex-app-server
'suite::v2::turn_start::turn_start_emits_notifications_and_accepts_model_override'
-- --exact --nocapture`
- `cargo test -p codex-app-server`
### Overview
This PR adds the first piece of tracing for app-server JSON-RPC
requests.
There are two main changes:
- JSON-RPC requests can now take an optional W3C trace context at the
top level via a `trace` field (`traceparent` / `tracestate`).
- app-server now creates a dedicated request span for every inbound
JSON-RPC request in `MessageProcessor`, and uses the request-level trace
context as the parent when present.
For compatibility with existing flows, app-server still falls back to
the TRACEPARENT env var when there is no request-level traceparent.
This PR is intentionally scoped to the app-server boundary. In a
followup, we'll actually propagate trace context through the async
handoff into core execution spans like run_turn, which will make
app-server traces much more useful.
### Spans
A few details on the app-server span shape:
- each inbound request gets its own server span
- span/resource names are based on the JSON-RPC method (`initialize`,
`thread/start`, `turn/start`, etc.)
- spans record transport (stdio vs websocket), request id, connection
id, and client name/version when available
- `initialize` stores client metadata in session state so later requests
on the same connection can reuse it
Stop `thread/start` from blocking other app-server requests.
Before this change, `thread/start ran` inline on the request loop, so
slow startup paths like MCP auth checks could hold up unrelated requests
on the same connection, including `thread/loaded/list`. This moves
`thread/start` into a background task.
While doing so, it revealed an issue where we were doing nested locking
(and there were some race conditions possible that could introduce a
"phantom listener"). This PR also refactors the listener/subscription
bookkeeping - listener/subscription state is now centralized in
`ThreadStateManager` instead of being split across multiple lock
domains. That makes late auto-attach on `thread/start` race-safe and
avoids reintroducing disconnected clients as phantom subscribers.
## Why
The `notify` hook payload did not identify which Codex client started
the turn. That meant downstream notification hooks could not distinguish
between completions coming from the TUI and completions coming from
app-server clients such as VS Code or Xcode. Now that the Codex App
provides its own desktop notifications, it would be nice to be able to
filter those out.
This change adds that context without changing the existing payload
shape for callers that do not know the client name, and keeps the new
end-to-end test cross-platform.
## What changed
- added an optional top-level `client` field to the legacy `notify` JSON
payload
- threaded that value through `core` and `hooks`; the internal session
and turn state now carries it as `app_server_client_name`
- set the field to `codex-tui` for TUI turns
- captured `initialize.clientInfo.name` in the app server and applied it
to subsequent turns before dispatching hooks
- replaced the notify integration test hook with a `python3` script so
the test does not rely on Unix shell permissions or `bash`
- documented the new field in `docs/config.md`
## Testing
- `cargo test -p codex-hooks`
- `cargo test -p codex-tui`
- `cargo test -p codex-app-server
suite::v2::initialize::turn_start_notify_payload_includes_initialize_client_name
-- --exact --nocapture`
- `cargo test -p codex-core` (`src/lib.rs` passed; `core/tests/all.rs`
still has unrelated existing failures in this environment)
## Docs
The public config reference on `developers.openai.com/codex` should
mention that the legacy `notify` payload may include a top-level
`client` field. The TUI reports `codex-tui`, and the app server reports
`initialize.clientInfo.name` when it is available.
## Summary
- allow `request_user_input` in Default collaboration mode as well as
Plan
- update the Default-mode instructions to prefer assumptions first and
use `request_user_input` only when a question is unavoidable
- update request_user_input and app-server tests to match the new
Default-mode behavior
- refactor collaboration-mode availability plumbing into
`CollaborationModesConfig` for future mode-related flags
## Codex author
`codex resume 019c9124-ed28-7c13-96c6-b916b1c97d49`
Adds a new v2 app-server API for a client to be able to unsubscribe to a
thread:
- New RPC method: `thread/unsubscribe`
- New server notification: `thread/closed`
Today clients can start/resume/archive threads, but there wasn’t a way
to explicitly unload a live thread from memory without archiving it.
With `thread/unsubscribe`, a client can indicate it is no longer
actively working with a live Thread. If this is the only client
subscribed to that given thread, the thread will be automatically closed
by app-server, at which point the server will send `thread/closed` and
`thread/status/changed` with `status: notLoaded` notifications.
This gives clients a way to prevent long-running app-server processes
from accumulating too many thread (and related) objects in memory.
Closed threads will also be removed from `thread/loaded/list`.
Migration Behavior
* Config
* Migrates settings.json into config.toml
* Only adds fields when config.toml is missing, or when those fields are
missing from the existing file
* Supported mappings:
env -> shell_environment_policy
sandbox.enabled = true -> sandbox_mode = "workspace-write"
* Skills
* Copies home and repo .claude/skills into .agents/skills
* Existing skill directories are not overwritten
* SKILL.md content is rewritten from Claude-related terms to Codex
* AgentsMd
* Repo only
* Migrates CLAUDE.md into AGENTS.md
* Detect/import only proceed when AGENTS.md is missing or present but
empty
* Content is rewritten from Claude-related terms to Codex
## Why
`codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs` previously
located `codex-execve-wrapper` by scanning `PATH` and sibling
directories. That lookup is brittle and can select the wrong binary when
the runtime environment differs from startup assumptions.
We already pass `codex-linux-sandbox` from `codex-arg0`;
`codex-execve-wrapper` should use the same startup-driven path plumbing.
## What changed
- Introduced `Arg0DispatchPaths` in `codex-arg0` to carry both helper
executable paths:
- `codex_linux_sandbox_exe`
- `main_execve_wrapper_exe`
- Updated `arg0_dispatch_or_else()` to pass `Arg0DispatchPaths` to
top-level binaries and preserve helper paths created in
`prepend_path_entry_for_codex_aliases()`.
- Threaded `Arg0DispatchPaths` through entrypoints in `cli`, `exec`,
`tui`, `app-server`, and `mcp-server`.
- Added `main_execve_wrapper_exe` to core configuration plumbing
(`Config`, `ConfigOverrides`, and `SessionServices`).
- Updated zsh-fork shell escalation to consume the configured
`main_execve_wrapper_exe` and removed path-sniffing fallback logic.
- Updated app-server config reload paths so reloaded configs keep the
same startup-provided helper executable paths.
## References
- [`Arg0DispatchPaths`
definition](e355b43d5c/codex-rs/arg0/src/lib.rs (L20-L24))
- [`arg0_dispatch_or_else()` forwarding both
paths](e355b43d5c/codex-rs/arg0/src/lib.rs (L145-L176))
- [zsh-fork escalation using configured wrapper
path](e355b43d5c/codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs (L109-L150))
## Testing
- `cargo check -p codex-arg0 -p codex-core -p codex-exec -p codex-tui -p
codex-mcp-server -p codex-app-server`
- `cargo test -p codex-arg0`
- `cargo test -p codex-core tools::runtimes::shell::unix_escalation:: --
--nocapture`
## Summary
- add graceful websocket app-server restart on Ctrl-C by draining until
no assistant turns are running
- stop the websocket acceptor and disconnect existing connections once
the drain condition is met
- add a websocket integration test that verifies Ctrl-C waits for an
in-flight turn before exit
## Verification
- `cargo check -p codex-app-server --quiet`
- `cargo test -p codex-app-server --test all
suite::v2::connection_handling_websocket`
- I (maxj) tested remote and local Codex.app
---------
Co-authored-by: Codex <noreply@openai.com>
thread/resume response includes latest turn with all items, in band so
no events are stale or lost
Testing
- e2e tested using app-server-test-client using flow described in
"Testing Thread Rejoin Behavior" in
codex-rs/app-server-test-client/README.md
- e2e tested in codex desktop by reconnecting to a running turn
TL;DR
Add top-level `model_catalog_json` config support so users can supply a
local model catalog override from a JSON file path (including adding new
models) without backend changes.
### Problem
Codex previously had no clean client-side way to replace/overlay model
catalog data for local testing of model metadata and new model entries.
### Fix
- Add top-level `model_catalog_json` config field (JSON file path).
- Apply catalog entries when resolving `ModelInfo`:
1. Base resolved model metadata (remote/fallback)
2. Catalog overlay from `model_catalog_json`
3. Existing global top-level overrides (`model_context_window`,
`model_supports_reasoning_summaries`, etc.)
### Note
Will revisit per-field overrides in a follow-up
### Tests
Added tests
Propagate client JSON-RPC errors for app-server request callbacks.
Previously a number of possible errors were collapsed to `channel
closed`. Now we should be able to see the underlying client error.
### Summary
This change stops masking client JSON-RPC error responses as generic
callback cancellation in app-server server->client request flows.
Previously, when the client responded with a JSON-RPC error, we removed
the callback entry but did not send anything to the waiting oneshot
receiver. Waiters then observed channel closure (for example, auth
refresh request canceled: channel closed), which hid the actual client
error.
Now, client JSON-RPC errors are forwarded through the callback channel
and handled explicitly by request consumers.
### User-visible behavior
- External auth refresh now surfaces real client JSON-RPC errors when
provided.
- True transport/callback-drop cases still report
canceled/channel-closed semantics.
### Example: client JSON-RPC error is now propagated (not masked as
"canceled")
When app-server asks the client to refresh ChatGPT auth tokens, it sends
a server->client JSON-RPC request like:
```json
{
"id": 42,
"method": "account/chatgptAuthTokens/refresh",
"params": {
"reason": "unauthorized",
"previousAccountId": "org-abc"
}
}
```
If the client cannot refresh and responds with a JSON-RPC error:
```
{
"id": 42,
"error": {
"code": -32000,
"message": "refresh failed",
"data": null
}
}
```
app-server now forwards that error through the callback path and
surfaces:
`auth refresh request failed: code=-32000 message=refresh failed`
Previously, this same case could be reported as:
`auth refresh request canceled: channel closed`
This stack layer makes app-server thread event delivery connection-aware
so resumed/attached threads only emit notifications and approval prompts
to subscribed connections.
- Added per-thread subscription tracking in `ThreadState`
(`subscribed_connections`) and mapped subscription ids to `(thread_id,
connection_id)`.
- Updated listener lifecycle so removing a subscription or closing a
connection only removes that connection from the thread’s subscriber
set; listener shutdown now happens when the last subscriber is gone.
- Added `connection_closed(connection_id)` plumbing (`lib.rs` ->
`message_processor.rs` -> `codex_message_processor.rs`) so disconnect
cleanup happens immediately.
- Scoped bespoke event handling outputs through `TargetedOutgoing` to
send requests/notifications only to subscribed connections.
- Kept existing threadresume behavior while aligning with the latest
split-loop transport structure.
Reapply "Add app-server transport layer with websocket support" with
additional fixes from https://github.com/openai/codex/pull/11313/changes
to avoid deadlocking.
This reverts commit 47356ff83c.
## Summary
To avoid deadlocking when queues are full, we maintain separate tokio
tasks dedicated to incoming vs outgoing event handling
- split the app-server main loop into two tasks in
`run_main_with_transport`
- inbound handling (`transport_event_rx`)
- outbound handling (`outgoing_rx` + `thread_created_rx`)
- separate incoming and outgoing websocket tasks
## Validation
Integration tests, testing thoroughly e2e in codex app w/ >10 concurrent
requests
<img width="1365" height="979" alt="Screenshot 2026-02-10 at 2 54 22 PM"
src="https://github.com/user-attachments/assets/47ca2c13-f322-4e5c-bedd-25859cbdc45f"
/>
---------
Co-authored-by: jif-oai <jif@openai.com>
…ount_id and chatgpt_plan_type
### Summary
Following up on external auth mode which was introduced here:
https://github.com/openai/codex/pull/10012
Turns out some clients have a differently shaped ID token and don't have
a chosen workspace (aka chatgpt_account_id) encoded in their ID token.
So, let's replace `id_token` param with `chatgpt_account_id` and
`chatgpt_plan_type` (optional) when initializing the external ChatGPT
auth mode (`account/login/start` with `chatgptAuthTokens`).
The client was able to test end-to-end with a Codex build from this
branch and verified it worked!
- Adds --listen <URL> to codex app-server with two listen modes:
- stdio:// (default, existing behavior)
- ws://IP:PORT (new websocket transport)
- Refactors message routing to be connection-aware:
- Tracks per-connection session state (initialize/experimental
capability)
- Routes responses/errors to the originating connection
- Broadcasts server notifications/requests to initialized connections
- Updates initialization semantics to be per connection (not
process-global), and updates app-server docs accordingly.
- Adds websocket accept/read/write handling (JSON-RPC per text frame,
ping/pong handling, connection lifecycle events).
Testing
- Unit tests for transport URL parsing and targeted response/error
routing.
- New websocket integration test validating:
- per-connection initialization requirements
- no cross-connection response leakage
- same request IDs on different connections route independently.
## Problem being solved
- We need a single, reliable way to mark app-server API surface as
experimental so that:
1. the runtime can reject experimental usage unless the client opts in
2. generated TS/JSON schemas can exclude experimental methods/fields for
stable clients.
Right now that’s easy to drift or miss when done ad-hoc.
## How to declare experimental methods and fields
- **Experimental method**: add `#[experimental("method/name")]` to the
`ClientRequest` variant in `client_request_definitions!`.
- **Experimental field**: on the params struct, derive `ExperimentalApi`
and annotate the field with `#[experimental("method/name.field")]` + set
`inspect_params: true` for the method variant so
`ClientRequest::experimental_reason()` inspects params for experimental
fields.
## How the macro solves it
- The new derive macro lives in
`codex-rs/codex-experimental-api-macros/src/lib.rs` and is used via
`#[derive(ExperimentalApi)]` plus `#[experimental("reason")]`
attributes.
- **Structs**:
- Generates `ExperimentalApi::experimental_reason(&self)` that checks
only annotated fields.
- The “presence” check is type-aware:
- `Option<T>`: `is_some_and(...)` recursively checks inner.
- `Vec`/`HashMap`/`BTreeMap`: must be non-empty.
- `bool`: must be `true`.
- Other types: considered present (returns `true`).
- Registers each experimental field in an `inventory` with `(type_name,
serialized field name, reason)` and exposes `EXPERIMENTAL_FIELDS` for
that type. Field names are converted from `snake_case` to `camelCase`
for schema/TS filtering.
- **Enums**:
- Generates an exhaustive `match` returning `Some(reason)` for annotated
variants and `None` otherwise (no wildcard arm).
- **Wiring**:
- Runtime gating uses `ExperimentalApi::experimental_reason()` in
`codex-rs/app-server/src/message_processor.rs` to reject requests unless
`InitializeParams.capabilities.experimental_api == true`.
- Schema/TS export filters use the inventory list and
`EXPERIMENTAL_CLIENT_METHODS` from `client_request_definitions!` to
strip experimental methods/fields when `experimental_api` is false.
This enables a new use case where `codex app-server` is embedded into a
parent application that will directly own the user's ChatGPT auth
lifecycle, which means it owns the user’s auth tokens and refreshes it
when necessary. The parent application would just want a way to pass in
the auth tokens for codex to use directly.
The idea is that we are introducing a new "auth mode" currently only
exposed via app server: **`chatgptAuthTokens`** which consist of the
`id_token` (stores account metadata) and `access_token` (the bearer
token used directly for backend API calls). These auth tokens are only
stored in-memory. This new mode is in addition to the existing `apiKey`
and `chatgpt` auth modes.
This PR reuses the shape of our existing app-server account APIs as much
as possible:
- Update `account/login/start` with a new `chatgptAuthTokens` variant,
which will allow the client to pass in the tokens and have codex
app-server use them directly. Upon success, the server emits
`account/login/completed` and `account/updated` notifications.
- A new server->client request called
`account/chatgptAuthTokens/refresh` which the server can use whenever
the access token previously passed in has expired and it needs a new one
from the parent application.
I leveraged the core 401 retry loop which typically triggers auth token
refreshes automatically, but made it pluggable:
- **chatgpt** mode refreshes internally, as usual.
- **chatgptAuthTokens** mode calls the client via
`account/chatgptAuthTokens/refresh`, the client responds with updated
tokens, codex updates its in-memory auth, then retries. This RPC has a
10s timeout and handles JSON-RPC errors from the client.
Also some additional things:
- chatgpt logins are blocked while external auth is active (have to log
out first. typically clients will pick one OR the other, not support
both)
- `account/logout` clears external auth in memory
- Ensures that if `forced_chatgpt_workspace_id` is set via the user's
config, we respect it in both:
- `account/login/start` with `chatgptAuthTokens` (returns a JSON-RPC
error back to the client)
- `account/chatgptAuthTokens/refresh` (fails the turn, and on next
request app-server will send another `account/chatgptAuthTokens/refresh`
request to the client).
This PR is in the scope of multi-agent work.
An agent (=thread) can now spawn other agents. Those other agents are
not attached to any clients. We need a way to make sure that the clients
are aware of the new threads to look at (for approval for example). This
PR adds a channel to the `ThreadManager` that pushes the ID of those
newly created agents such that the client (here the app-server) can also
subscribe to those ones.
When an invalid config.toml key or value is detected, the CLI currently
just quits. This leaves the VSCE in a dead state.
This PR changes the behavior to not quit and bubble up the config error
to users to make it actionable. It also surfaces errors related to
"rules" parsing.
This allows us to surface these errors to users in the VSCE, like this:
<img width="342" height="129" alt="Screenshot 2026-01-13 at 4 29 22 PM"
src="https://github.com/user-attachments/assets/a79ffbe7-7604-400c-a304-c5165b6eebc4"
/>
<img width="346" height="244" alt="Screenshot 2026-01-13 at 4 45 06 PM"
src="https://github.com/user-attachments/assets/de874f7c-16a2-4a95-8c6d-15f10482e67b"
/>
**Motivation**
The `originator` header is important for codex-backend’s Responses API
proxy because it identifies the real end client (codex cli, codex vscode
extension, codex exec, future IDEs) and is used to categorize requests
by client for our enterprise compliance API.
Today the `originator` header is set by either:
- the `CODEX_INTERNAL_ORIGINATOR_OVERRIDE` env var (our VSCode extension
does this)
- calling `set_default_originator()` which sets a global immutable
singleton (`codex exec` does this)
For `codex app-server`, we want the `initialize` JSON-RPC request to set
that header because it is a natural place to do so. Example:
```json
{
"method": "initialize",
"id": 0,
"params": {
"clientInfo": {
"name": "codex_vscode",
"title": "Codex VS Code Extension",
"version": "0.1.0"
}
}
}
```
and when app-server receives that request, it can call
`set_default_originator()`. This is a much more natural interface than
asking third party developers to set an env var.
One hiccup is that `originator()` reads the global singleton and locks
in the value, preventing a later `set_default_originator()` call from
setting it. This would be fine but is brittle, since any codepath that
calls `originator()` before app-server can process an `initialize`
JSON-RPC call would prevent app-server from setting it. This was
actually the case with OTEL initialization which runs on boot, but I
also saw this behavior in certain tests.
Instead, what we now do is:
- [unchanged] If `CODEX_INTERNAL_ORIGINATOR_OVERRIDE` env var is set,
`originator()` would return that value and `set_default_originator()`
with some other value does NOT override it.
- [new] If no env var is set, `originator()` would return the default
value which is `codex_cli_rs` UNTIL `set_default_originator()` is called
once, in which case it is set to the new value and becomes immutable.
Later calls to `set_default_originator()` returns
`SetOriginatorError::AlreadyInitialized`.
**Other notes**
- I updated `codex_core::otel_init::build_provider` to accepts a service
name override, and app-server sends a hardcoded `codex_app_server`
service name to distinguish it from `codex_cli_rs` used by default (e.g.
TUI).
**Next steps**
- Update VSCE to set the proper value for `clientInfo.name` on
`initialize` and drop the `CODEX_INTERNAL_ORIGINATOR_OVERRIDE` env var.
- Delete support for `CODEX_INTERNAL_ORIGINATOR_OVERRIDE` in codex-rs.
### Summary
* Added `mcpServer/oauthLogin` in app server for supporting in session
MCP server login
* Added `McpServerOauthLoginParams` and `McpServerOauthLoginResponse` to
support above method with response returning the auth URL for consumer
to open browser or display accordingly.
* Added `McpServerOauthLoginCompletedNotification` which the app server
would emit on MCP server login success or failure (i.e. timeout).
* Refactored rmcp-client oath_login to have the ability on starting a
auth server which the codex_message_processor uses for in-session auth.
## Summary
On app-server startup, detect whether the experimental sandbox is
enabled, and send a notification .
**Note**
New conversations will not respect the feature because we [ignore cli
overrides in
NewConversation](a75321a64c/codex-rs/app-server/src/codex_message_processor.rs (L1237-L1252)).
However, this should be okay, since we don't actually use config for
this, we use a [global
variable](87cce88f48/codex-rs/core/src/safety.rs (L105-L110)).
We should carefully unwind this setup at some point.
## Testing
- [ ] In progress: testing locally
---------
Co-authored-by: jif-oai <jif@openai.com>
