Commit Graph

1283 Commits

  • unifying all image saves to /tmp to bug-proof (#14149)
    image-gen feature will have the model saving to /tmp by default + at all
    times
  • add(core): arc_monitor (#13936)
    ## Summary
    - add ARC monitor support for MCP tool calls by serializing MCP approval
    requests into the ARC action shape and sending the relevant
    conversation/policy context to the `/api/codex/safety/arc` endpoint
    - route ARC outcomes back into MCP approval flow so `ask-user` falls
    back to a user prompt and `steer-model` blocks the tool call, with
    guardian/ARC tests covering the new request shape
    - update the TUI approval copy from “Approve Once” to “Allow” / “Allow
    for this session” and refresh the related
      snapshots
    
    ---------
    
    Co-authored-by: Fouad Matin <fouad@openai.com>
    Co-authored-by: Fouad Matin <169186268+fouad-openai@users.noreply.github.com>
  • Log ChatGPT user ID for feedback tags (#13901)
    There are some bug investigations that currently require us to ask users
    for their user ID even though they've already uploaded logs and session
    details via `/feedback`. This frustrates users and increases the time
    for diagnosis.
    
    This PR includes the ChatGPT user ID in the metadata uploaded for
    `/feedback` (both the TUI and app-server).
  • Use realtime transcript for handoff context (#14132)
    - collect input/output transcript deltas into active handoff transcript
    state
    - attach and clear that transcript on each handoff, and regenerate
    schema/tests
  • [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: support disabling bundled system skills (#13792)
    Support disable bundled system skills with a config:
    
    [skills.bundled]
    enabled = false
  • start of hooks engine (#13276)
    (Experimental)
    
    This PR adds a first MVP for hooks, with SessionStart and Stop
    
    The core design is:
    
    - hooks live in a dedicated engine under codex-rs/hooks
    - each hook type has its own event-specific file
    - hook execution is synchronous and blocks normal turn progression while
    running
    - matching hooks run in parallel, then their results are aggregated into
    a normalized HookRunSummary
    
    On the AppServer side, hooks are exposed as operational metadata rather
    than transcript-native items:
    
    - new live notifications: hook/started, hook/completed
    - persisted/replayed hook results live on Turn.hookRuns
    - we intentionally did not add hook-specific ThreadItem variants
    
    Hooks messages are not persisted, they remain ephemeral. The context
    changes they add are (they get appended to the user's prompt)
  • sort plugins first in menu (#14163)
    we want plugin mentions to show up before others, like apps and skills.
    
    updated tests.
  • make dollar-mention always clarify item category (skill, app, plugin) (#14147)
    #### What
    
    ###### Context + Problem
    
    With the introduction of plugins, we now have one more type of
    `$`-mentionable item in the TUI's popup menu on `$`. Apps, skills, and
    plugins can all have the same user-facing name, and we attempt to
    distinguish with a category tag suffix, like `[App]`. This has a few
    problems:
    
    - We decide to show tags by the text that will be inserted into the
    conversation, not the actual user-visible text, so two visibly-identical
    entries can have no clarifying category tag suffix
    - The category tag is a suffix and commonly gets cut off by long
    descriptions
    - The skill category tag is currently only displayed on repo skills as
    `[Repo]`, which is confusing to most users
    - The plugin category tag is currently `[<marketplace-name>]`, which is
    also confusing to most users
    
    ###### Solution
    - **Always** show a **prefix** category tag that is `[Skill]`, `[App]`,
    or `[Plugin]`. No conditional rendering or copy.
    
    Before:
    <img width="801" height="153" alt="image"
    src="https://github.com/user-attachments/assets/448e06e7-2af8-4c14-9804-ed1ca17cf514"
    />
    
    After:
    <img width="800" height="118" alt="image"
    src="https://github.com/user-attachments/assets/57895b41-06fe-4d92-887b-68704c5a15fd"
    />
    
    I also feel this clarifies the results at-a-glance while you scroll:
    
    
    https://github.com/user-attachments/assets/cbdd5840-53d9-4656-812c-6e816755e1fd
    
    ### Tests
    Added + updated tests (including snapshots), tested locally
  • feat(core) Persist request_permission data across turns (#14009)
    ## Summary
    request_permissions flows should support persisting results for the
    session.
    
    Open Question: Still deciding if we need within-turn approvals - this
    adds complexity but I could see it being useful
    
    ## Testing
    - [x] Updated unit tests
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • pass on save info to model + ui tweaks (#14123)
    Passing on more information to the model for context purposes, to
    streamline image-identification.
  • Stabilize guardian approval coverage (#14103)
    ## Summary
    - align the guardian permission test with the actual sandbox policy it
    widens and use a slightly larger Windows-only timeout budget
    - expose the additional-permissions normalization helper to the guardian
    test module
    - replace the guardian popup snapshot assertion with targeted string
    assertions
    
    ## Why this fixes the flake
    This group was carrying two separate sources of drift. The guardian core
    test widened derived sandbox policies without updating the source
    sandbox policy, and it used a Windows command/timeout combination that
    was too tight on slower runners. Separately, the TUI test was
    snapshotting the full popup even though unrelated feature text changes
    were the only thing moving. The new assertions keep coverage on the
    guardian entry itself while removing unrelated snapshot churn.
  • fix(plugin): Also load curated plugins for TUI. (#14050)
    Also run maybe_start_curated_repo_sync_for_config at TUI start time.
  • guardian initial feedback / tweaks (#13897)
    ## Summary
    - remove the remaining model-visible guardian-specific `on-request`
    prompt additions so enabling the feature does not change the main
    approval-policy instructions
    - neutralize user-facing guardian wording to talk about automatic
    approval review / approval requests rather than a second reviewer or
    only sandbox escalations
    - tighten guardian retry-context handling so agent-authored
    `justification` stays in the structured action JSON and is not also
    injected as raw retry context
    - simplify guardian review plumbing in core by deleting dead
    prompt-append paths and trimming some request/transcript setup code
    
    ## Notable Changes
    - delete the dead `permissions/approval_policy/guardian.md` append path
    and stop threading `guardian_approval_enabled` through model-facing
    developer-instruction builders
    - rename the experimental feature copy to `Automatic approval review`
    and update the `/experimental` snapshot text accordingly
    - make approval-review status strings generic across shell, patch,
    network, and MCP review types
    - forward real sandbox/network retry reasons for shell and unified-exec
    guardian review, but do not pass agent-authored justification as raw
    retry context
    - simplify `guardian.rs` by removing the one-field request wrapper,
    deduping reasoning-effort selection, and cleaning up transcript entry
    collection
    
    ## Testing
    - `just fmt`
    - full validation left to CI
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • feat(tui) render request_permissions calls (#14004)
    ## Summary
    Adds support for tui rendering of request_permission calls
    
    <img width="724" height="245" alt="Screenshot 2026-03-08 at 9 04 07 PM"
    src="https://github.com/user-attachments/assets/e1997825-a496-4bfb-bbda-43d0006460a5"
    />
    
    
    ## Testing
    - [x] Added snapshot test
  • Add request permissions tool (#13092)
    Adds a built-in `request_permissions` tool and wires it through the
    Codex core, protocol, and app-server layers so a running turn can ask
    the client for additional permissions instead of relying on a static
    session policy.
    
    The new flow emits a `RequestPermissions` event from core, tracks the
    pending request by call ID, forwards it through app-server v2 as an
    `item/permissions/requestApproval` request, and resumes the tool call
    once the client returns an approved subset of the requested permission
    profile.
  • tui: clarify pending steer follow-ups (#13841)
    ## Summary
    - split the pending input preview into labeled pending-steer and queued
    follow-up sections
    - explain that pending steers submit after the next tool call and that
    Esc can interrupt and send them immediately
    - treat Esc as an interrupt-plus-resubmit path when pending steers
    exist, with updated TUI snapshots and tests
    
    Queues and steers:
    <img width="1038" height="263" alt="Screenshot 2026-03-07 at 10 17
    17 PM"
    src="https://github.com/user-attachments/assets/4ef433ef-27a3-4b7c-ad69-2046f6eb89e6"
    />
    
    After pressing Esc:
    <img width="1046" height="320" alt="Screenshot 2026-03-07 at 10 17
    21 PM"
    src="https://github.com/user-attachments/assets/0f4d89e0-b6b9-486a-9f04-b6021f169ba7"
    />
    
    ## Codex author
    `codex resume 019cc6f4-2cca-7803-b717-8264526dbd97`
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • app-server: include experimental skill metadata in exec approval requests (#13929)
    ## Summary
    
    This change surfaces skill metadata on command approval requests so
    app-server clients can tell when an approval came from a skill script
    and identify the originating `SKILL.md`.
    
    - add `skill_metadata` to exec approval events in the shared protocol
    - thread skill metadata through core shell escalation and delegated
    approval handling for skill-triggered approvals
    - expose the field in app-server v2 as experimental `skillMetadata`
    - regenerate the JSON/TypeScript schemas and cover the new field in
    protocol, transport, core, and TUI tests
    
    ## Why
    
    Skill-triggered approvals already carry skill context inside core, but
    app-server clients could not see which skill caused the prompt. Sending
    the skill metadata with the approval request makes it possible for
    clients to present better approval UX and connect the prompt back to the
    relevant skill definition.
    
    
    ## example event in app-server-v2
    verified that we see this event when experimental api is on:
    ```
    < {
    <   "id": 11,
    <   "method": "item/commandExecution/requestApproval",
    <   "params": {
    <     "additionalPermissions": {
    <       "fileSystem": null,
    <       "macos": {
    <         "accessibility": false,
    <         "automations": {
    <           "bundle_ids": [
    <             "com.apple.Notes"
    <           ]
    <         },
    <         "calendar": false,
    <         "preferences": "read_only"
    <       },
    <       "network": null
    <     },
    <     "approvalId": "25d600ee-5a3c-4746-8d17-e2e61fb4c563",
    <     "availableDecisions": [
    <       "accept",
    <       "acceptForSession",
    <       "cancel"
    <     ],
    <     "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <     "commandActions": [
    <       {
    <         "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <         "type": "unknown"
    <       }
    <     ],
    <     "cwd": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes",
    <     "itemId": "call_jZp3xFpNg4D8iKAD49cvEvZy",
    <     "skillMetadata": {
    <       "pathToSkillsMd": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/SKILL.md"
    <     },
    <     "threadId": "019ccc10-b7d3-7ff2-84fe-3a75e7681e69",
    <     "turnId": "019ccc10-b848-76f1-81b3-4a1fa225493f"
    <   }
    < }`
    ```
    
    & verified that this is the event when experimental api is off:
    ```
    < {
    <   "id": 13,
    <   "method": "item/commandExecution/requestApproval",
    <   "params": {
    <     "approvalId": "5fbbf776-261b-4cf8-899b-c125b547f2c0",
    <     "availableDecisions": [
    <       "accept",
    <       "acceptForSession",
    <       "cancel"
    <     ],
    <     "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <     "commandActions": [
    <       {
    <         "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <         "type": "unknown"
    <       }
    <     ],
    <     "cwd": "/Users/celia/code/codex/codex-rs",
    <     "itemId": "call_OV2DHzTgYcbYtWaTTBWlocOt",
    <     "threadId": "019ccc16-2a2b-7be1-8500-e00d45b892d4",
    <     "turnId": "019ccc16-2a8e-7961-98ec-649600e7d06a"
    <   }
    < }
    ```
  • [elicitations] Support always allow option for mcp tool calls. (#13807)
    - [x] Support always allow option for mcp tool calls, writes to
    config.toml.
    - [x] Fix config hot-reload after starting a new thread for TUI.
  • chore: use @plugin instead of $plugin for plaintext mentions (#13921)
    change plaintext plugin-mentions from `$plugin` to `@plugin`, ensure TUI
    can correctly decode these from history.
    
    tested locally, added/updated tests.
  • Fix TUI context window display before first TokenCount (#13896)
    The TUI was showing the raw configured `model_context_window` until the
    first
    `TokenCount` event arrived, even though core had already emitted the
    effective
    runtime window on `TurnStarted`. This made the footer, status-line
    context
    window, and `/status` output briefly inconsistent for models/configs
    where the
    effective window differs from the configured value, such as the
    `gpt-5.4`
    1,000,000-token override reported in #13623.
    
    Update the TUI to cache `TurnStarted.model_context_window` immediately
    so
    pre-token-count displays use the runtime effective window, and add
    regression
    coverage for the startup path.
    
    ---------
    
    Co-authored-by: Charles Cunningham <ccunningham@openai.com>
    Co-authored-by: Codex <noreply@openai.com>
  • fix(ci) fix guardian ci (#13911)
    ## Summary
    #13910 was merged with some unused imports, let's fix this
    
    ## Testing
    - [x] Let's make sure CI is green
    
    ---------
    
    Co-authored-by: Charles Cunningham <ccunningham@openai.com>
    Co-authored-by: Codex <noreply@openai.com>
  • Add guardian approval MVP (#13692)
    ## Summary
    - add the guardian reviewer flow for `on-request` approvals in command,
    patch, sandbox-retry, and managed-network approval paths
    - keep guardian behind `features.guardian_approval` instead of exposing
    a public `approval_policy = guardian` mode
    - route ordinary `OnRequest` approvals to the guardian subagent when the
    feature is enabled, without changing the public approval-mode surface
    
    ## Public model
    - public approval modes stay unchanged
    - guardian is enabled via `features.guardian_approval`
    - when that feature is on, `approval_policy = on-request` keeps the same
    approval boundaries but sends those approval requests to the guardian
    reviewer instead of the user
    - `/experimental` only persists the feature flag; it does not rewrite
    `approval_policy`
    - CLI and app-server no longer expose a separate `guardian` approval
    mode in this PR
    
    ## Guardian reviewer
    - the reviewer runs as a normal subagent and reuses the existing
    subagent/thread machinery
    - it is locked to a read-only sandbox and `approval_policy = never`
    - it does not inherit user/project exec-policy rules
    - it prefers `gpt-5.4` when the current provider exposes it, otherwise
    falls back to the parent turn's active model
    - it fail-closes on timeout, startup failure, malformed output, or any
    other review error
    - it currently auto-approves only when `risk_score < 80`
    
    ## Review context and policy
    - guardian mirrors `OnRequest` approval semantics rather than
    introducing a separate approval policy
    - explicit `require_escalated` requests follow the same approval surface
    as `OnRequest`; the difference is only who reviews them
    - managed-network allowlist misses that enter the approval flow are also
    reviewed by guardian
    - the review prompt includes bounded recent transcript history plus
    recent tool call/result evidence
    - transcript entries and planned-action strings are truncated with
    explicit `<guardian_truncated ... />` markers so large payloads stay
    bounded
    - apply-patch reviews include the full patch content (without
    duplicating the structured `changes` payload)
    - the guardian request layout is snapshot-tested using the same
    model-visible Responses request formatter used elsewhere in core
    
    ## Guardian network behavior
    - the guardian subagent inherits the parent session's managed-network
    allowlist when one exists, so it can use the same approved network
    surface while reviewing
    - exact session-scoped network approvals are copied into the guardian
    session with protocol/port scope preserved
    - those copied approvals are now seeded before the guardian's first turn
    is submitted, so inherited approvals are available during any immediate
    review-time checks
    
    ## Out of scope / follow-ups
    - the sandbox-permission validation split was pulled into a separate PR
    and is not part of this diff
    - a future follow-up can enable `serde_json` preserve-order in
    `codex-core` and then simplify the guardian action rendering further
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • Add Fast mode status-line indicator (#13670)
    Addresses feature request #13660
    
    Adds new option to `/statusline` so the status line can display "fast
    on" or "fast off"
    
    Summary
    - introduce a `FastMode` status-line item so `/statusline` can render
    explicit `Fast on`/`Fast off` text for the service tier
    - wire the item into the picker metadata and resolve its string from
    `ChatWidget` without adding any unrelated `thread-name` logic or storage
    changes
    - ensure the refresh paths keep the cached footer in sync when the
    service tier (fast mode) changes
    
    Testing
    - Manually tested
    
    Here's what it looks like when enabled:
    
    <img width="366" height="75" alt="image"
    src="https://github.com/user-attachments/assets/7f992d2b-6dab-49ed-aa43-ad496f56f193"
    />
  • fix: support managed network allowlist controls (#12752)
    ## Summary
    - treat `requirements.toml` `allowed_domains` and `denied_domains` as
    managed network baselines for the proxy
    - in restricted modes by default, build the effective runtime policy
    from the managed baseline plus user-configured allowlist and denylist
    entries, so common hosts can be pre-approved without blocking later user
    expansion
    - add `experimental_network.managed_allowed_domains_only = true` to pin
    the effective allowlist to managed entries, ignore user allowlist
    additions, and hard-deny non-managed domains without prompting
    - apply `managed_allowed_domains_only` anywhere managed network
    enforcement is active, including full access, while continuing to
    respect denied domains from all sources
    - add regression coverage for merged-baseline behavior, managed-only
    behavior, and full-access managed-only enforcement
    
    ## Behavior
    Assuming `requirements.toml` defines both
    `experimental_network.allowed_domains` and
    `experimental_network.denied_domains`.
    
    ### Default mode
    - By default, the effective allowlist is
    `experimental_network.allowed_domains` plus user or persisted allowlist
    additions.
    - By default, the effective denylist is
    `experimental_network.denied_domains` plus user or persisted denylist
    additions.
    - Allowlist misses can go through the network approval flow.
    - Explicit denylist hits and local or private-network blocks are still
    hard-denied.
    - When `experimental_network.managed_allowed_domains_only = true`, only
    managed `allowed_domains` are respected, user allowlist additions are
    ignored, and non-managed domains are hard-denied without prompting.
    - Denied domains continue to be respected from all sources.
    
    ### Full access
    - With managed requirements present, the effective allowlist is pinned
    to `experimental_network.allowed_domains`.
    - With managed requirements present, the effective denylist is pinned to
    `experimental_network.denied_domains`.
    - There is no allowlist-miss approval path in full access.
    - Explicit denylist hits are hard-denied.
    - `experimental_network.managed_allowed_domains_only = true` now also
    applies in full access, so managed-only behavior remains in effect
    anywhere managed network enforcement is active.
  • chore(otel): rename OtelManager to SessionTelemetry (#13808)
    ## Summary
    This is a purely mechanical refactor of `OtelManager` ->
    `SessionTelemetry` to better convey what the struct is doing. No
    behavior change.
    
    ## Why
    
    `OtelManager` ended up sounding much broader than what this type
    actually does. It doesn't manage OTEL globally; it's the session-scoped
    telemetry surface for emitting log/trace events and recording metrics
    with consistent session metadata (`app_version`, `model`, `slug`,
    `originator`, etc.).
    
    `SessionTelemetry` is a more accurate name, and updating the call sites
    makes that boundary a lot easier to follow.
    
    ## Validation
    
    - `just fmt`
    - `cargo test -p codex-otel`
    - `cargo test -p codex-core`
  • 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.
  • feat(otel, core): record turn TTFT and TTFM metrics in codex-core (#13630)
    ### Summary
    This adds turn-level latency metrics for the first model output and the
    first completed agent message.
    - `codex.turn.ttft.duration_ms` starts at turn start and records on the
    first output signal we see from the model. That includes normal
    assistant text, reasoning deltas, and non-text outputs like tool-call
    items.
    - `codex.turn.ttfm.duration_ms` also starts at turn start, but it
    records when the first agent message finishes streaming rather than when
    its first delta arrives.
    
    ### Implementation notes
    The timing is tracked in codex-core, not app-server, so the definition
    stays consistent across CLI, TUI, and app-server clients.
    
    I reused the existing turn lifecycle boundary that already drives
    `codex.turn.e2e_duration_ms`, stored the turn start timestamp in turn
    state, and record each metric once per turn.
    
    I also wired the new metric names into the OTEL runtime metrics summary
    so they show up in the same in-memory/debug snapshot path as the
    existing timing metrics.
  • [elicitations] Switch to use MCP style elicitation payload for mcp tool approvals. (#13621)
    - [x] Switch to use MCP style elicitation payload for mcp tool
    approvals.
    - [ ] TODO: Update the UI to support the full spec.
  • Enabling CWD Saving for Image-Gen (#13607)
    Codex now saves the generated image on to your current working
    directory.
  • fix(tui) remove config check for trusted setting (#11874)
    ## Summary
    Simplify the trusted directory flow. This logic was originally designed
    several months ago, to determine if codex should start in read-only or
    workspace-write mode. However, that's no longer the purpose of directory
    trust - and therefore we should get rid of this logic.
    
    ## Testing
    - [x] Unit tests pass
  • refactor: remove proxy admin endpoint (#13687)
    ## Summary
    - delete the network proxy admin server and its runtime listener/task
    plumbing
    - remove the admin endpoint config, runtime, requirement, protocol,
    schema, and debug-surface fields
    - update proxy docs to reflect the remaining HTTP and SOCKS listeners
    only
  • tui: sort resume picker by last updated time (#13654)
    ## Summary
    - default the resume picker sort key to UpdatedAt instead of CreatedAt
    - keep Tab sort toggling behavior and update the test expectation for
    the new default
    
    ## Testing
    - just fmt
    - cargo test -p codex-tui
    
    Co-authored-by: Codex <noreply@openai.com>
  • fix(tui): clean up pending steer preview wrapping (#13642)
    ## Summary
    - render pending steer previews with a single `pending steer:` prefix
    instead of repeating it for each source line
    - reuse the same truncation path for pending steers and queued drafts so
    multiline previews behave consistently
    - add snapshot coverage for the multiline pending steer case
    
    Before
    <img width="969" height="219" alt="Screenshot 2026-03-05 at 3 55 11 PM"
    src="https://github.com/user-attachments/assets/b062c9c8-43d3-4a52-98e0-3c7643d1697b"
    />
    
    After
    <img width="965" height="203" alt="Screenshot 2026-03-05 at 3 56 08 PM"
    src="https://github.com/user-attachments/assets/40935863-55b3-444f-9e14-1ac63126b2e1"
    />
    
    ## Codex author
    `codex resume 019cc054-385e-79a3-bb85-ec9499623bd8`
    
    Co-authored-by: Codex <noreply@openai.com>
  • Update models.json (#13617)
    - Update `models.json` to surface the new model entry.
    - Refresh the TUI model picker snapshot to match the updated catalog
    ordering.
    
    ---------
    
    Co-authored-by: aibrahim-oai <219906144+aibrahim-oai@users.noreply.github.com>
  • core/protocol: add structured macOS additional permissions and merge them into sandbox execution (#13499)
    ## Summary
    - Introduce strongly-typed macOS additional permissions across
    protocol/core/app-server boundaries.
    - Merge additional permissions into effective sandbox execution,
    including macOS seatbelt profile extensions.
    - Expand docs, schema/tool definitions, UI rendering, and tests for
    `network`, `file_system`, and `macos` additional permissions.
  • 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(core): persist trace_id for turns in RolloutItem::TurnContext (#13602)
    This PR adds a durable trace linkage for each turn by storing the active
    trace ID on the rollout TurnContext record stored in session rollout
    files.
    
    Before this change, we propagated trace context at runtime but didn’t
    persist a stable per-turn trace key in rollout history. That made
    after-the-fact debugging harder (for example, mapping a historical turn
    to the corresponding trace in datadog). This sets us up for much easier
    debugging in the future.
    
    ### What changed
    - Added an optional `trace_id` to TurnContextItem (rollout schema).
    - Added a small OTEL helper to read the current span trace ID.
    - Captured `trace_id` when creating `TurnContext` and included it in
    `to_turn_context_item()`.
    - Updated tests and fixtures that construct TurnContextItem so
    older/no-trace cases still work.
    
    ### Why this approach
    TurnContext is already the canonical durable per-turn metadata in
    rollout. This keeps ownership clean: trace linkage lives with other
    persisted turn metadata.
  • [diagnostics] show diagnostics earlier in workflow (#13604)
    <img width="591" height="243" alt="Screenshot 2026-03-05 at 10 17 06 AM"
    src="https://github.com/user-attachments/assets/84a6658b-6017-4602-b1f8-2098b9b5eff9"
    />
    
    - show feedback earlier
    - preserve raw literal env vars (no trimming, sanitizing, etc.)
  • feat(app-server): support mcp elicitations in v2 api (#13425)
    This adds a first-class server request for MCP server elicitations:
    `mcpServer/elicitation/request`.
    
    Until now, MCP elicitation requests only showed up as a raw
    `codex/event/elicitation_request` event from core. That made it hard for
    v2 clients to handle elicitations using the same request/response flow
    as other server-driven interactions (like shell and `apply_patch`
    tools).
    
    This also updates the underlying MCP elicitation request handling in
    core to pass through the full MCP request (including URL and form data)
    so we can expose it properly in app-server.
    
    ### Why not `item/mcpToolCall/elicitationRequest`?
    This is because MCP elicitations are related to MCP servers first, and
    only optionally to a specific MCP tool call.
    
    In the MCP protocol, elicitation is a server-to-client capability: the
    server sends `elicitation/create`, and the client replies with an
    elicitation result. RMCP models it that way as well.
    
    In practice an elicitation is often triggered by an MCP tool call, but
    not always.
    
    ### What changed
    - add `mcpServer/elicitation/request` to the v2 app-server API
    - translate core `codex/event/elicitation_request` events into the new
    v2 server request
    - map client responses back into `Op::ResolveElicitation` so the MCP
    server can continue
    - update app-server docs and generated protocol schema
    - add an end-to-end app-server test that covers the full round trip
    through a real RMCP elicitation flow
    - The new test exercises a realistic case where an MCP tool call
    triggers an elicitation, the app-server emits
    mcpServer/elicitation/request, the client accepts it, and the tool call
    resumes and completes successfully.
    
    ### app-server API flow
    - Client starts a thread with `thread/start`.
    - Client starts a turn with `turn/start`.
    - App-server sends `item/started` for the `mcpToolCall`.
    - While that tool call is in progress, app-server sends
    `mcpServer/elicitation/request`.
    - Client responds to that request with `{ action: "accept" | "decline" |
    "cancel" }`.
    - App-server sends `serverRequest/resolved`.
    - App-server sends `item/completed` for the mcpToolCall.
    - App-server sends `turn/completed`.
    - If the turn is interrupted while the elicitation is pending,
    app-server still sends `serverRequest/resolved` before the turn
    finishes.
  • [tui] Show speed in session header (#13446)
    - add a speed row to the startup/session header under the model row
    - render the speed row with the same styling pattern as the model row,
    using /fast to change
    - show only Fast or Standard to users and update the affected snapshots
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • [apps] Fix the issue where apps is not enabled after codex resume. (#13533)
    - [x] Fix the issue where apps is not enabled after codex resume.
  • [tui] Update fast mode plan usage copy (#13515)
    ## Summary
    - update the /fast slash command description from 3X to 2X plan usage
    
    ## Testing
    - not run (copy-only change)
  • [tui] rotate paid promo tips to include fast mode (#13438)
    - rotate the paid-plan startup promo slot 50/50 between the existing
    Codex App promo and a new Fast mode promo
    - keep the Fast mode call to action platform-neutral so Windows can show
    the same tip
    - add a focused unit test to ensure the paid promo pool actually rotates
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • image-gen-event/client_processing (#13512)
    enabling client-side to process with image-generation capabilities
    (setting app-server)
  • Notify TUI about plan mode prompts and user input requests (#13495)
    Addresses #13478
    
    Summary
    - Add two new scopes for `tui.notifications` config: `plan-mode-prompt`
    and `user-input-requested`.
    - Add Plan Mode prompt and user-input-requested notifications to the TUI
    so these events surface consistently outside of plan mode
    - Add helpers and tests to ensure the new notification types publish the
    right titles, summaries, and type tags for filtering
    - Add prioritization mechanism to fix an existing bug where one
    notification event could arbitrarily overwrite others
    
    Testing
    - Manually tested plan mode to ensure that notification appeared