Commit Graph

2 Commits

  • TUI/Core: preserve duplicate skill/app mention selection across submit + resume (#10855)
    ## What changed
    
    - In `codex-rs/core/src/skills/injection.rs`, we now honor explicit
    `UserInput::Skill { name, path }` first, then fall back to text mentions
    only when safe.
    - In `codex-rs/tui/src/bottom_pane/chat_composer.rs`, mention selection
    is now token-bound (selected mention is tied to the specific inserted
    `$token`), and we snapshot bindings at submit time so selection is not
    lost.
    - In `codex-rs/tui/src/chatwidget.rs` and
    `codex-rs/tui/src/bottom_pane/mod.rs`, submit/queue paths now consume
    the submit-time mention snapshot (instead of rereading cleared composer
    state).
    - In `codex-rs/tui/src/mention_codec.rs` and
    `codex-rs/tui/src/bottom_pane/chat_composer_history.rs`, history now
    round-trips mention targets so resume restores the same selected
    duplicate.
    - In `codex-rs/tui/src/bottom_pane/skill_popup.rs` and
    `codex-rs/tui/src/bottom_pane/chat_composer.rs`, duplicate labels are
    normalized to `[Repo]` / `[App]`, app rows no longer show `Connected -`,
    and description space is a bit wider.
    
    <img width="550" height="163" alt="Screenshot 2026-02-05 at 9 56 56 PM"
    src="https://github.com/user-attachments/assets/346a7eb2-a342-4a49-aec8-68dfec0c7d89"
    />
    <img width="550" height="163" alt="Screenshot 2026-02-05 at 9 57 09 PM"
    src="https://github.com/user-attachments/assets/5e04d9af-cccf-4932-98b3-c37183e445ed"
    />
    
    
    ## Before vs now
    
    - Before: selecting a duplicate could still submit the default/repo
    match, and resume could lose which duplicate was originally selected.
    - Now: the exact selected target (skill path or app id) is preserved
    through submit, queue/restore, and resume.
    
    ## Manual test
    
    1. Build and run this branch locally:
       - `cd /Users/daniels/code/codex/codex-rs`
       - `cargo build -p codex-cli --bin codex`
       - `./target/debug/codex`
    2. Open mention picker with `$` and pick a duplicate entry (not the
    first one).
    3. Confirm duplicate UI:
       - repo duplicate rows show `[Repo]`
       - app duplicate rows show `[App]`
       - app description does **not** start with `Connected -`
    4. Submit the prompt, then press Up to restore draft and submit again.  
       Expected: it keeps the same selected duplicate target.
    5. Use `/resume` to reopen the session and send again.  
    Expected: restored mention still resolves to the same duplicate target.
  • Added support for live updates to skills (#10478)
    Add a centralized FileWatcher in codex-core (using notify) that watches
    skill roots from the config layer stack (recursive)
    
    Send `SkillsChanged` events when relevant file system changes are
    detected
    
    On `SkillsChanged`:
    * Invalidate the skills cache immediately in ThreadManager
    * Emit EventMsg::SkillsUpdateAvailable to active sessions
    ~~* Broadcast a new app-server notification:
    SkillsListUpdatedNotification~~
    
    This change does not inject new items into the event stream. That means
    the agent will not know about new skills, so it won't be able to
    implicitly invoke new skills. It also won't know about changes to
    existing skills, so if it has already read the contents of a modified
    skill, it will not honor the new behavior.
    
    This change also does not detect modifications to AGENTS.md.
    
    I plan to address these limitations in a follow-on PR modeled after
    #9985. Injection of new skills and AGENTS was deemed to risky, hence the
    need to split the feature into two stages. The changes in this PR were
    designed to easily accommodate the second stage once we have some other
    foundational changes in place.
    
    Testing: In addition to automated tests, I did manual testing to confirm
    that newly-created skills, deleted skills, and renamed skills are
    reflected in the TUI skill picker menu. Also confirmed that
    modifications to behaviors for explicitly-invoked skills are honored.
    
    ---------
    
    Co-authored-by: Xin Lin <xl@openai.com>