Commit Graph

15 Commits

  • Split features into codex-features crate (#15253)
    - Split the feature system into a new `codex-features` crate.
    - Cut `codex-core` and workspace consumers over to the new config and
    warning APIs.
    
    Co-authored-by: Ahmed Ibrahim <219906144+aibrahim-oai@users.noreply.github.com>
    Co-authored-by: Codex <noreply@openai.com>
  • [apps] Add tool call meta. (#14647)
    - [x] Add resource_uri and other things to _meta to shortcut resource
    lookup and speed things up.
  • move plugin/skill instructions into dev msg and reorder (#14609)
    Move the general `Apps`, `Skills` and `Plugins` instructions blocks out
    of `user_instructions` and into the developer message, with new `Apps ->
    Skills -> Plugins` order for better clarity.
    
    Also wrap those sections in stable XML-style instruction tags (like
    other sections) and update prompt-layout tests/snapshots. This makes the
    tests less brittle in snapshot output (we can parse the sections), and
    it consolidates the capability instructions in one place.
    
    #### Tests
    Updated snapshots, added tests.
    
    `<AGENTS_MD>` disappearing in snapshots is expected: before this change,
    the wrapped user-instructions message was kept alive by `Skills`
    content. Now that `Skills` and `Plugins` are in the developer message,
    that wrapper only appears when there is real
    project-doc/user-instructions content.
    
    ---------
    
    Co-authored-by: Charley Cunningham <ccunningham@openai.com>
  • Normalize MCP tool names to code-mode safe form (#14605)
    Code mode doesn't allow `-` in names and it's better if function names
    and code-mode names are the same.
  • chore: clarify plugin + app copy in model instructions (#14541)
    - clarify app mentions are in user messages
    - clarify what it means for tools to be provided via `codex_apps` MCP
    - add plugin descriptions (with basic sanitization) to top-level `##
    Plugins` section alongside the corresponding plugin names
    - explain that skills from plugins are prefixed with `plugin_name:` in
    top-level `##Plugins` section
    
    changes to more logically organize `Apps`, `Skills`, and `Plugins`
    instructions will be in a separate PR, as that shuffles dev + user
    instructions in ways that change tests broadly.
    
    ### Tests
    confirmed in local rollout, some new tests.
  • Add plugin usage telemetry (#14531)
    adding metrics including: 
    * plugin used
    * plugin installed/uninstalled
    * plugin enabled/disabled
  • feat: search_tool migrate to bring you own tool of Responses API (#14274)
    ## Why
    
    to support a new bring your own search tool in Responses
    API(https://developers.openai.com/api/docs/guides/tools-tool-search#client-executed-tool-search)
    we migrating our bm25 search tool to use official way to execute search
    on client and communicate additional tools to the model.
    
    ## What
    - replace the legacy `search_tool_bm25` flow with client-executed
    `tool_search`
    - add protocol, SSE, history, and normalization support for
    `tool_search_call` and `tool_search_output`
    - return namespaced Codex Apps search results and wire namespaced
    follow-up tool calls back into MCP dispatch
  • [apps] Fix apps enablement condition. (#14011)
    - [x] Fix apps enablement condition to check both the feature flag and
    that the user is not an API key user.
  • feat: structured plugin parsing (#13711)
    #### What
    
    Add structured `@plugin` parsing and TUI support for plugin mentions.
    
    - Core: switch from plain-text `@display_name` parsing to structured
    `plugin://...` mentions via `UserInput::Mention` and
    `[$...](plugin://...)` links in text, same pattern as apps/skills.
    - TUI: add plugin mention popup, autocomplete, and chips when typing
    `$`. Load plugin capability summaries and feed them into the composer;
    plugin mentions appear alongside skills and apps.
    - Generalize mention parsing to a sigil parameter, still defaults to `$`
    
    <img width="797" height="119" alt="image"
    src="https://github.com/user-attachments/assets/f0fe2658-d908-4927-9139-73f850805ceb"
    />
    
    Builds on #13510. Currently clients have to build their own `id` via
    `plugin@marketplace` and filter plugins to show by `enabled`, but we
    will add `id` and `available` as fields returned from `plugin/list`
    soon.
    
    ####Tests
    
    Added tests, verified locally.
  • add @plugin mentions (#13510)
    ## Note-- added plugin mentions via @, but that conflicts with file
    mentions
    
    depends and builds upon #13433.
    
    - introduces explicit `@plugin` mentions. this injects the plugin's mcp
    servers, app names, and skill name format into turn context as a dev
    message.
    - we do not yet have UI for these mentions, so we currently parse raw
    text (as opposed to skills and apps which have UI chips, autocomplete,
    etc.) this depends on a `plugins/list` app-server endpoint we can feed
    the UI with, which is upcoming
    - also annotate mcp and app tool descriptions with the plugin(s) they
    come from. this gives the model a first class way of understanding what
    tools come from which plugins, which will help implicit invocation.
    
    ### Tests
    Added and updated tests, unit and integration. Also confirmed locally a
    raw `@plugin` injects the dev message, and the model knows about its
    apps, mcps, and skills.
  • feat: track plugins mcps/apps and add plugin info to user_instructions (#13433)
    ### first half of changes, followed by #13510
    
    Track plugin capabilities as derived summaries on `PluginLoadOutcome`
    for enabled plugins with at least one skill/app/mcp.
    
    Also add `Plugins` section to `user_instructions` injected on session
    start. These introduce the plugins concept and list enabled plugins, but
    do NOT currently include paths to enabled plugins or details on what
    apps/mcps the plugins contain (current plan is to inject this on
    @-mention). that can be adjusted in a follow up and based on evals.
    
    ### tests
    Added/updated tests, confirmed locally that new `Plugins` section +
    currently enabled plugins show up in `user_instructions`.
  • config: enforce enterprise feature requirements (#13388)
    ## Why
    
    Enterprises can already constrain approvals, sandboxing, and web search
    through `requirements.toml` and MDM, but feature flags were still only
    configurable as managed defaults. That meant an enterprise could suggest
    feature values, but it could not actually pin them.
    
    This change closes that gap and makes enterprise feature requirements
    behave like the other constrained settings. The effective feature set
    now stays consistent with enterprise requirements during config load,
    when config writes are validated, and when runtime code mutates feature
    flags later in the session.
    
    It also tightens the runtime API for managed features. `ManagedFeatures`
    now follows the same constraint-oriented shape as `Constrained<T>`
    instead of exposing panic-prone mutation helpers, and production code
    can no longer construct it through an unconstrained `From<Features>`
    path.
    
    The PR also hardens the `compact_resume_fork` integration coverage on
    Windows. After the feature-management changes,
    `compact_resume_after_second_compaction_preserves_history` was
    overflowing the libtest/Tokio thread stacks on Windows, so the test now
    uses an explicit larger-stack harness as a pragmatic mitigation. That
    may not be the ideal root-cause fix, and it merits a parallel
    investigation into whether part of the async future chain should be
    boxed to reduce stack pressure instead.
    
    ## What Changed
    
    Enterprises can now pin feature values in `requirements.toml` with the
    requirements-side `features` table:
    
    ```toml
    [features]
    personality = true
    unified_exec = false
    ```
    
    Only canonical feature keys are allowed in the requirements `features`
    table; omitted keys remain unconstrained.
    
    - Added a requirements-side pinned feature map to
    `ConfigRequirementsToml`, threaded it through source-preserving
    requirements merge and normalization in `codex-config`, and made the
    TOML surface use `[features]` (while still accepting legacy
    `[feature_requirements]` for compatibility).
    - Exposed `featureRequirements` from `configRequirements/read`,
    regenerated the JSON/TypeScript schema artifacts, and updated the
    app-server README.
    - Wrapped the effective feature set in `ManagedFeatures`, backed by
    `ConstrainedWithSource<Features>`, and changed its API to mirror
    `Constrained<T>`: `can_set(...)`, `set(...) -> ConstraintResult<()>`,
    and result-returning `enable` / `disable` / `set_enabled` helpers.
    - Removed the legacy-usage and bulk-map passthroughs from
    `ManagedFeatures`; callers that need those behaviors now mutate a plain
    `Features` value and reapply it through `set(...)`, so the constrained
    wrapper remains the enforcement boundary.
    - Removed the production loophole for constructing unconstrained
    `ManagedFeatures`. Non-test code now creates it through the configured
    feature-loading path, and `impl From<Features> for ManagedFeatures` is
    restricted to `#[cfg(test)]`.
    - Rejected legacy feature aliases in enterprise feature requirements,
    and return a load error when a pinned combination cannot survive
    dependency normalization.
    - Validated config writes against enterprise feature requirements before
    persisting changes, including explicit conflicting writes and
    profile-specific feature states that normalize into invalid
    combinations.
    - Updated runtime and TUI feature-toggle paths to use the constrained
    setter API and to persist or apply the effective post-constraint value
    rather than the requested value.
    - Updated the `core_test_support` Bazel target to include the bundled
    core model-catalog fixtures in its runtime data, so helper code that
    resolves `core/models.json` through runfiles works in remote Bazel test
    environments.
    - Renamed the core config test coverage to emphasize that effective
    feature values are normalized at runtime, while conflicting persisted
    config writes are rejected.
    - Ran `compact_resume_after_second_compaction_preserves_history` inside
    an explicit 8 MiB test thread and Tokio runtime worker stack, following
    the existing larger-stack integration-test pattern, to keep the Windows
    `compact_resume_fork` test slice from aborting while a parallel
    investigation continues into whether some of the underlying async
    futures should be boxed.
    
    ## Verification
    
    - `cargo test -p codex-config`
    - `cargo test -p codex-core feature_requirements_ -- --nocapture`
    - `cargo test -p codex-core
    load_requirements_toml_produces_expected_constraints -- --nocapture`
    - `cargo test -p codex-core
    compact_resume_after_second_compaction_preserves_history -- --nocapture`
    - `cargo test -p codex-core compact_resume_fork -- --nocapture`
    - Re-ran the built `codex-core` `tests/all` binary with
    `RUST_MIN_STACK=262144` for
    `compact_resume_after_second_compaction_preserves_history` to confirm
    the explicit-stack harness fixes the deterministic low-stack repro.
    - `cargo test -p codex-core`
    - This still fails locally in unrelated integration areas that expect
    the `codex` / `test_stdio_server` binaries or hit existing `search_tool`
    wiremock mismatches.
    
    ## Docs
    
    `developers.openai.com/codex` should document the requirements-side
    `[features]` table for enterprise and MDM-managed configuration,
    including that it only accepts canonical feature keys and that
    conflicting config writes are rejected.
  • feat: load plugin apps (#13401)
    load plugin-apps from `.app.json`.
    
    make apps runtime-mentionable iff `codex_apps` MCP actually exposes
    tools for that `connector_id`.
    
    if the app isn't available, it's filtered out of runtime connector set,
    so no tools are added and no app-mentions resolve.
    
    right now we don't have a clean cli-side error for an app not being
    installed. can look at this after.
    
    ### Tests
    Added tests, tested locally that using a plugin that bundles an app
    picks up the app.
  • Refactor plugin config and cache path (#13333)
    Update config.toml plugin entries to use
    <plugin_name>@<marketplace_name> as the key.
    Plugin now stays in
    [plugins/cache/marketplace-name/plugin-name/$version/]
    Clean up the plugin code structure.
    Add plugin install functionality (not used yet).
  • 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.