## Summary
- add startup tooltip for OpenAI community Discord
- add startup tooltip for Codex community forum
## Testing
- not run (text-only tooltip change)
## Summary
Let's dial in this api contract in a bit more with more robust fallback
behavior when model_instructions_template is false.
Switches to a more explicit template / variables structure, with more
fallbacks.
## Testing
- [x] Adding unit tests
- [x] Tested locally
## Problem
OpenAI employees were sent to the public GitHub issue flow after
`/feedback`, which is the wrong follow-up path internally.
## Mental model
After feedback upload completes, we render a follow-up link/message.
That link should be audience-aware but must not change the upload
pipeline itself.
## Non-goals
- Changing how feedback is captured or uploaded
- Changing external user behavior
## Tradeoffs
We detect employees via the authenticated account email suffix
(`@openai.com`). If the email is unavailable (e.g., API key auth), we
default to the external behavior.
## Architecture
- Introduce `FeedbackAudience` and thread it from `App` -> `ChatWidget`
-> `FeedbackNoteView`
- Gate internal messaging/links on `FeedbackAudience::OpenAiEmployee`
- Internal follow-up link is now `http://go/codex-feedback-internal`
- External GitHub URL remains byte-for-byte identical
## Observability
No new telemetry; this only changes rendered follow-up instructions.
## Tests
- `just fmt`
- `cargo test -p codex-tui --lib`
Add dynamic tools to rollout file for persistence & read from rollout on
resume. Ran a real example and spotted the following in the rollout
file:
```
{"timestamp":"2026-01-29T01:27:57.468Z","type":"session_meta","payload":{"id":"019c075d-3f0b-77e3-894e-c1c159b04b1e","timestamp":"2026-01-29T01:27:57.451Z","...."dynamic_tools":[{"name":"demo_tool","description":"Demo dynamic tool","inputSchema":{"additionalProperties":false,"properties":{"city":{"type":"string"}},"required":["city"],"type":"object"}}],"git":{"commit_hash":"ebc573f15c01b8af158e060cfedd401f043e9dfa","branch":"dev/cc/dynamic-tools","repository_url":"https://github.com/openai/codex.git"}}}
```
## Summary
Adds a simple `/plan` slash command in the TUI that switches the active
collaboration mode to Plan mode. The command is only available when the
`collaboration_modes` feature is enabled.
## Changes
- Add `plan_mask` helper in `codex-rs/tui/src/collaboration_modes.rs`
- Add `SlashCommand::Plan` metadata in
`codex-rs/tui/src/slash_command.rs`
- Implement and hard-gate `/plan` dispatch in
`codex-rs/tui/src/chatwidget.rs`
- Hide `/plan` when collaboration modes are disabled in
`codex-rs/tui/src/bottom_pane/slash_commands.rs`
- Update command popup tests in
`codex-rs/tui/src/bottom_pane/command_popup.rs`
- Add a focused unit test for `/plan` in
`codex-rs/tui/src/chatwidget/tests.rs`
## Behavior notes
- `/plan` is now a no-op if `Feature::CollaborationModes` is disabled.
- When enabled, `/plan` switches directly to Plan mode without opening
the picker.
## Codex author
`codex resume 019c05da-d7c3-7322-ae2c-3ca38d0ef702`
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).
###### Problem
Users get generic 429s with no guidance when a model is at capacity.
###### Solution
Detect model-cap headers, surface a clear “try a different model”
message, and keep behavior non‑intrusive (no auto‑switch).
###### Scope
CLI/TUI only; protocol + error mapping updated to carry model‑cap info.
###### Tests
- just fmt
- cargo test -p codex-tui
- cargo test -p codex-core --lib
shell_snapshot::tests::try_new_creates_and_deletes_snapshot_file --
--nocapture (ran in isolated env)
- validate local build with backend
<img width="719" height="845" alt="image"
src="https://github.com/user-attachments/assets/1470b33d-0974-4b1f-b8e6-d11f892f4b54"
/>
## Summary
- add `codex features enable <feature>` and `codex features disable
<feature>`
- persist feature flag changes to `config.toml` (respecting profile)
- print the under-development feature warning when enabling prerelease
features
- keep `features list` behavior unchanged and add unit/integration tests
## Testing
- cargo test -p codex-cli
An experimental flow for env var skill dependencies. Skills can now
declare required env vars in SKILL.md; if missing, the CLI prompts the
user to get the value, and Core will store it in memory (eventually to a
local persistent store)
<img width="790" height="169" alt="image"
src="https://github.com/user-attachments/assets/cd928918-9403-43cb-a7e7-b8d59bcccd9a"
/>
On the back of:
https://github.com/openai/codex/pull/10138
Let's ensure that every folder with a `package.json` is listed in
`pnpm-workspace.yaml` (not sure why `docs` was in there...) and that we
are using `pnpm` over `npm` consistently (which is why this PR deletes
`codex-cli/package-lock.json`).
jif-oai