Commit Graph

21 Commits

  • Apply argument comment lint across codex-rs (#14652)
    ## Why
    
    Once the repo-local lint exists, `codex-rs` needs to follow the
    checked-in convention and CI needs to keep it from drifting. This commit
    applies the fallback `/*param*/` style consistently across existing
    positional literal call sites without changing those APIs.
    
    The longer-term preference is still to avoid APIs that require comments
    by choosing clearer parameter types and call shapes. This PR is
    intentionally the mechanical follow-through for the places where the
    existing signatures stay in place.
    
    After rebasing onto newer `main`, the rollout also had to cover newly
    introduced `tui_app_server` call sites. That made it clear the first cut
    of the CI job was too expensive for the common path: it was spending
    almost as much time installing `cargo-dylint` and re-testing the lint
    crate as a representative test job spends running product tests. The CI
    update keeps the full workspace enforcement but trims that extra
    overhead from ordinary `codex-rs` PRs.
    
    ## What changed
    
    - keep a dedicated `argument_comment_lint` job in `rust-ci`
    - mechanically annotate remaining opaque positional literals across
    `codex-rs` with exact `/*param*/` comments, including the rebased
    `tui_app_server` call sites that now fall under the lint
    - keep the checked-in style aligned with the lint policy by using
    `/*param*/` and leaving string and char literals uncommented
    - cache `cargo-dylint`, `dylint-link`, and the relevant Cargo
    registry/git metadata in the lint job
    - split changed-path detection so the lint crate's own `cargo test` step
    runs only when `tools/argument-comment-lint/*` or `rust-ci.yml` changes
    - continue to run the repo wrapper over the `codex-rs` workspace, so
    product-code enforcement is unchanged
    
    Most of the code changes in this commit are intentionally mechanical
    comment rewrites or insertions driven by the lint itself.
    
    ## Verification
    
    - `./tools/argument-comment-lint/run.sh --workspace`
    - `cargo test -p codex-tui-app-server -p codex-tui`
    - parsed `.github/workflows/rust-ci.yml` locally with PyYAML
    
    ---
    
    * -> #14652
    * #14651
  • feat: improve skills cache key to take into account config layering (#14806)
    Fix https://github.com/openai/codex/issues/14161
    
    This fixes sub-agent [[skills.config]] overrides being ignored when
    parent and child share the same cwd. The root cause was that turn skill
    loading rebuilt from cwd-only state and reused a cwd-scoped cache, so
    role-local skill enable/disable overrides did not reliably affect the
    spawned agent's effective skill set.
    
    This change switches turn construction to use the effective per-turn
    config and adds a config-aware skills cache keyed by skill roots plus
    final disabled paths.
  • fix: move inline codex-rs/core unit tests into sibling files (#14444)
    ## Why
    PR #13783 moved the `codex.rs` unit tests into `codex_tests.rs`. This
    applies the same extraction pattern across the rest of `codex-rs/core`
    so the production modules stay focused on runtime code instead of large
    inline test blocks.
    
    Keeping the tests in sibling files also makes follow-up edits easier to
    review because product changes no longer have to share a file with
    hundreds or thousands of lines of test scaffolding.
    
    ## What changed
    - replaced each inline `mod tests { ... }` in `codex-rs/core/src/**`
    with a path-based module declaration
    - moved each extracted unit test module into a sibling `*_tests.rs`
    file, using `mod_tests.rs` for `mod.rs` modules
    - preserved the existing `cfg(...)` guards and module-local structure so
    the refactor remains structural rather than behavioral
    
    ## Testing
    - `cargo test -p codex-core --lib` (`1653 passed; 0 failed; 5 ignored`)
    - `just fix -p codex-core`
    - `cargo fmt --check`
    - `cargo shear`
  • feat: support disabling bundled system skills (#13792)
    Support disable bundled system skills with a config:
    
    [skills.bundled]
    enabled = false
  • feat: load from plugins (#12864)
    Support loading plugins.
    
    Plugins can now be enabled via [plugins.<name>] in config.toml. They are
    loaded as first-class entities through PluginsManager, and their default
    skills/ and .mcp.json contributions are integrated into the existing
    skills and MCP flows.
  • Skip system skills for extra roots (#12744)
    When extra roots is set do not load system skills.
  • Simplify skill tracking (#12652)
    Remove a few layers of structs and store SkillMetadata.
    
    ---------
    
    Co-authored-by: alexsong-oai <alexsong@openai.com>
  • Support implicit skill invocation analytics events (#12049)
    - use `skills_for_cwd` lookup to scope allowed skills and build
    invocation context for downstream processing
    - add detection in `stream_events_utils` to classify tool calls as
    implicit skill invocations per the proposal (script runners, extensions,
    `scripts` dirs, and SKILL.md reads)
    - deduplicate invocations per turn and emit analytics/OTEL events on the
    same background queue as explicit invokes
  • 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>
  • feat: Support loading skills from .agents/skills (#10317)
    This PR adds support for loading
    [skills](https://developers.openai.com/codex/skills) from
    `.agents/skills/`.
    - Issue: https://github.com/agentskills/agentskills/issues/15
    - Motivation: When skills live on the filesystem, sharing them across
    agents is awkward and often ends up requiring symlinks/duplication. A
    single location under `.agents/` makes it easier to share skills.
    - Loading from `.codex/skills/` will remain but will be deprecated soon.
    The change only applies to the [REPO
    scope](https://developers.openai.com/codex/skills#where-to-save-skills).
    - Documentation will be updated before this change is live.
    
    Testing with skills in two locations of this repo:
    <img width="960" height="152" alt="image"
    src="https://github.com/user-attachments/assets/28975ff9-7363-46dd-ad40-f4c7bfdb8234"
    />
    
    When starting Codex with CWD in `$repo_root` (should only pick up at
    root):
    <img width="513" height="143" alt="image"
    src="https://github.com/user-attachments/assets/389e1ea7-020c-481e-bda0-ce58562db59f"
    />
    
    When starting Codex with CWD in `$repo_root/codex-rs` (should pick up at
    cwd and crawl up to root):
    <img width="552" height="177" alt="image"
    src="https://github.com/user-attachments/assets/a5beb8de-11b4-45ed-8660-80707c77006a"
    />
  • Wire up cloud reqs in exec, app-server (#10241)
    We're fetching cloud requirements in TUI in
    https://github.com/openai/codex/pull/10167.
    
    This adds the same fetching in exec and app-server binaries also.
  • Fetch Requirements from cloud (#10167)
    Load requirements from Codex Backend. It only does this for enterprise
    customers signed in with ChatGPT.
    
    Todo in follow-up PRs:
    * Add to app-server and exec too
    * Switch from fail-open to fail-closed on failure
  • Support enable/disable skill via config/api. (#9328)
    In config.toml:
    ```
    [[skills.config]]
    path = "/Users/xl/.codex/skills/my_skill/SKILL.md"
    enabled = false
    ```
    
    API:
    skills/list, skills/config/write
  • Use ConfigLayerStack for skills discovery. (#8497)
    Use ConfigLayerStack to get all folders while loading skills.
  • Fix admin skills. (#8305)
    We were assembling the skill roots in two different places, and the
    admin root was missing in one of them. This change centralizes root
    selection into a helper so both paths stay in sync.
  • Support SYSTEM skills. (#8220)
    1. Remove PUBLIC skills and introduce SYSTEM skills embedded in the
    binary and installed into $CODEX_HOME/skills/.system at startup.
    2. Skills are now always enabled (feature flag removed).
    3. Update skills/list to accept forceReload and plumb it through (not
    used by clients yet).
  • Add public skills + improve repo skill discovery and error UX (#8098)
    1. Adds SkillScope::Public end-to-end (core + protocol) and loads skills
    from the public cache directory
    2. Improves repo skill discovery by searching upward for the nearest
    .codex/skills within a git repo
    3. Deduplicates skills by name with deterministic ordering to avoid
    duplicates across sources
    4. Fixes garbled “Skill errors” overlay rendering by preventing pending
    history lines from being injected during the modal
    5. Updates the project docs “Skills” intro wording to avoid hardcoded
    paths
  • Reimplement skills loading using SkillsManager + skills/list op. (#7914)
    refactor the way we load and manage skills:
    1. Move skill discovery/caching into SkillsManager and reuse it across
    sessions.
    2. Add the skills/list API (Op::ListSkills/SkillsListResponse) to fetch
    skills for one or more cwds. Also update app-server for VSCE/App;
    3. Trigger skills/list during session startup so UIs preload skills and
    handle errors immediately.