Commit Graph

58 Commits

  • app-server: Add ephemeral field to Thread object (#13084)
    Currently there is no alternative way to know that thread is ephemeral,
    only client which did create it has the knowledge.
  • app-server: Replay pending item requests on thread/resume (#12560)
    Replay pending client requests after `thread/resume` and emit resolved
    notifications when those requests clear so approval/input UI state stays
    in sync after reconnects and across subscribed clients.
    
    Affected RPCs:
    - `item/commandExecution/requestApproval`
    - `item/fileChange/requestApproval`
    - `item/tool/requestUserInput`
    
    Motivation:
    - Resumed clients need to see pending approval/input requests that were
    already outstanding before the reconnect.
    - Clients also need an explicit signal when a pending request resolves
    or is cleared so stale UI can be removed on turn start, completion, or
    interruption.
    
    Implementation notes:
    - Use pending client requests from `OutgoingMessageSender` in order to
    replay them after `thread/resume` attaches the connection, using
    original request ids.
    - Emit `serverRequest/resolved` when pending requests are answered
    or cleared by lifecycle cleanup.
    - Update the app-server protocol schema, generated TypeScript bindings,
    and README docs for the replay/resolution flow.
    
    High-level test plan:
    - Added automated coverage for replaying pending command execution and
    file change approval requests on `thread/resume`.
    - Added automated coverage for resolved notifications in command
    approval, file change approval, request_user_input, turn start, and turn
    interrupt flows.
    - Verified schema/docs updates in the relevant protocol and app-server
    tests.
    
    Manual testing:
    - Tested reconnect/resume with multiple connections.
    - Confirmed state stayed in sync between connections.
  • Add model availability NUX metadata (#12972)
    - replace show_nux with structured availability_nux model metadata
    - expose availability NUX data through the app-server model API
    - update shared fixtures and tests for the new field
  • Support multimodal custom tool outputs (#12948)
    ## Summary
    
    This changes `custom_tool_call_output` to use the same output payload
    shape as `function_call_output`, so freeform tools can return either
    plain text or structured content items.
    
    The main goal is to let `js_repl` return image content from nested
    `view_image` calls in its own `custom_tool_call_output`, instead of
    relying on a separate injected message.
    
    ## What changed
    
    - Changed `custom_tool_call_output.output` from `string` to
    `FunctionCallOutputPayload`
    - Updated freeform tool plumbing to preserve structured output bodies
    - Updated `js_repl` to aggregate nested tool content items and attach
    them to the outer `js_repl` result
    - Removed the old `js_repl` special case that injected `view_image`
    results as a separate pending user image message
    - Updated normalization/history/truncation paths to handle multimodal
    `custom_tool_call_output`
    - Regenerated app-server protocol schema artifacts
    
    ## Behavior
    
    Direct `view_image` calls still return a `function_call_output` with
    image content.
    
    When `view_image` is called inside `js_repl`, the outer `js_repl`
    `custom_tool_call_output` now carries:
    - an `input_text` item if the JS produced text output
    - one or more `input_image` items from nested tool results
    
    So the nested image result now stays inside the `js_repl` tool output
    instead of being injected as a separate message.
    
    ## Compatibility
    
    This is intended to be backward-compatible for resumed conversations.
    
    Older histories that stored `custom_tool_call_output.output` as a plain
    string still deserialize correctly, and older histories that used the
    previous injected-image-message flow also continue to resume.
    
    Added regression coverage for resuming a pre-change rollout containing:
    - string-valued `custom_tool_call_output`
    - legacy injected image message history
    
    
    #### [git stack](https://github.com/magus/git-stack-cli)
    - 👉 `1` https://github.com/openai/codex/pull/12948
  • Feat: cxa-1833 update model/list (#12958)
    ### Summary
    Update `model/list` in app server to include more upgrade information.
  • feat(app-server): thread/unsubscribe API (#10954)
    Adds a new v2 app-server API for a client to be able to unsubscribe to a
    thread:
    - New RPC method: `thread/unsubscribe`
    - New server notification: `thread/closed`
    
    Today clients can start/resume/archive threads, but there wasn’t a way
    to explicitly unload a live thread from memory without archiving it.
    With `thread/unsubscribe`, a client can indicate it is no longer
    actively working with a live Thread. If this is the only client
    subscribed to that given thread, the thread will be automatically closed
    by app-server, at which point the server will send `thread/closed` and
    `thread/status/changed` with `status: notLoaded` notifications.
    
    This gives clients a way to prevent long-running app-server processes
    from accumulating too many thread (and related) objects in memory.
    
    Closed threads will also be removed from `thread/loaded/list`.
  • feat(app-server): add ThreadItem::DynamicToolCall (#12732)
    Previously, clients would call `thread/start` with dynamic_tools set,
    and when a model invokes a dynamic tool, it would just make the
    server->client `item/tool/call` request and wait for the client's
    response to complete the tool call. This works, but it doesn't have an
    `item/started` or `item/completed` event.
    
    Now we are doing this:
    - [new] emit `item/started` with `DynamicToolCall` populated with the
    call arguments
    - send an `item/tool/call` server request
    - [new] once the client responds, emit `item/completed` with
    `DynamicToolCall` populated with the response.
    
    Also, with `persistExtendedHistory: true`, dynamic tool calls are now
    reconstructable in `thread/read` and `thread/resume` as
    `ThreadItem::DynamicToolCall`.
  • Add app-server v2 thread realtime API (#12715)
    Add experimental `thread/realtime/*` v2 requests and notifications, then
    route app-server realtime events through that thread-scoped surface with
    integration coverage.
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • Support external agent config detect and import (#12660)
    Migration Behavior
    
    * Config
      *  Migrates settings.json into config.toml
    * Only adds fields when config.toml is missing, or when those fields are
    missing from the existing file
      *  Supported mappings:
        env -> shell_environment_policy
         sandbox.enabled = true -> sandbox_mode = "workspace-write"
    
    * Skills
      *  Copies home and repo .claude/skills into .agents/skills
      *  Existing skill directories are not overwritten
      *  SKILL.md content is rewritten from Claude-related terms to Codex
    
    * AgentsMd
      *  Repo only
      *  Migrates CLAUDE.md into AGENTS.md
    * Detect/import only proceed when AGENTS.md is missing or present but
    empty
      *  Content is rewritten from Claude-related terms to Codex
  • feat: add search term to thread list (#12578)
    Add `searchTerm` to `thread/list` that will search for a match in the
    titles (the condition being `searchTerm` $$\in$$ `title`)
  • feat: add service name to app-server (#12319)
    Add service name to the app-server so that the app can use it's own
    service name
    
    This is on thread level because later we might plan the app-server to
    become a singleton on the computer
  • feat: use OAI Responses API MessagePhase type directly in App Server v2 (#12422)
    https://github.com/openai/codex/pull/10455 introduced the `phase` field,
    and then https://github.com/openai/codex/pull/12072 introduced a
    `MessagePhase` type in `v2.rs` that paralleled the `MessagePhase` type
    in `codex-rs/protocol/src/models.rs`.
    
    The app server protocol prefers `camelCase` while the Responses API uses
    `snake_case`, so this meant we had two versions of `MessagePhase` with
    different serialization rules. When the app server protocol refers to
    types from the Responses API, we use the wire format of the the
    Responses API even though it is inconsistent with the app server API.
    
    This PR deletes `MessagePhase` from `v2.rs` and consolidates on the
    Responses API version to eliminate confusion.
  • Add field to Thread object for the latest rename set for a given thread (#12301)
    Exposes through the app server updated names set for a thread. This
    enables other surfaces to use the core as the source of truth for thread
    naming. `threadName` is gathered using the helper functions used to
    interact with `session_index.jsonl`, and is hydrated in:
    - `thread/list`
    - `thread/read`
    - `thread/resume`
    - `thread/unarchive`
    - `thread/rollback`
    
    We don't do this for `thread/start` and `thread/fork`.
  • Add ability to attach extra files to feedback (#12370)
    Allow clients to provide extra files.
  • [apps] Implement apps configs. (#12086)
    - [x] Implement apps configs.
  • fix(network-proxy): add unix socket allow-all and update seatbelt rules (#11368)
    ## Summary
    Adds support for a Unix socket escape hatch so we can bypass socket
    allowlisting when explicitly enabled.
    
    ## Description
    * added a new flag, `network.dangerously_allow_all_unix_sockets` as an
    explicit escape hatch
    * In codex-network-proxy, enabling that flag now allows any absolute
    Unix socket path from x-unix-socket instead of requiring each path to be
    explicitly allowlisted. Relative paths are still rejected.
    * updated the macOS seatbelt path in core so it enforces the same Unix
    socket behavior:
      * allowlisted sockets generate explicit network* subpath rules
      * allow-all generates a broad network* (subpath "/") rule
    
    ---------
    
    Co-authored-by: Codex <199175422+chatgpt-codex-connector[bot]@users.noreply.github.com>
  • feat: add nick name to sub-agents (#12320)
    Adding random nick name to sub-agents. Used for UX
    
    At the same time, also storing and wiring the role of the sub-agent
  • feat: add Reject approval policy with granular prompt rejection controls (#12087)
    ## Why
    
    We need a way to auto-reject specific approval prompt categories without
    switching all approvals off.
    
    The goal is to let users independently control:
    - sandbox escalation approvals,
    - execpolicy `prompt` rule approvals,
    - MCP elicitation prompts.
    
    ## What changed
    
    - Added a new primary approval mode in `protocol/src/protocol.rs`:
    
    ```rust
    pub enum AskForApproval {
        // ...
        Reject(RejectConfig),
        // ...
    }
    
    pub struct RejectConfig {
        pub sandbox_approval: bool,
        pub rules: bool,
        pub mcp_elicitations: bool,
    }
    ```
    
    - Wired `RejectConfig` semantics through approval paths in `core`:
      - `core/src/exec_policy.rs`
        - rejects rule-driven prompts when `rules = true`
        - rejects sandbox/escalation prompts when `sandbox_approval = true`
    - preserves rule priority when both rule and sandbox prompt conditions
    are present
      - `core/src/tools/sandboxing.rs`
    - applies `sandbox_approval` to default exec approval decisions and
    sandbox-failure retry gating
      - `core/src/safety.rs`
    - keeps `Reject { all false }` behavior aligned with `OnRequest` for
    patch safety
        - rejects out-of-root patch approvals when `sandbox_approval = true`
      - `core/src/mcp_connection_manager.rs`
        - auto-declines MCP elicitations when `mcp_elicitations = true`
    
    - Ensured approval policy used by MCP elicitation flow stays in sync
    with constrained session policy updates.
    
    - Updated app-server v2 conversions and generated schema/TypeScript
    artifacts for the new `Reject` shape.
    
    ## Verification
    
    Added focused unit coverage for the new behavior in:
    - `core/src/exec_policy.rs`
    - `core/src/tools/sandboxing.rs`
    - `core/src/mcp_connection_manager.rs`
    - `core/src/safety.rs`
    - `core/src/tools/runtimes/apply_patch.rs`
    
    Key cases covered include rule-vs-sandbox prompt precedence, MCP
    auto-decline behavior, and patch/sandbox retry behavior under
    `RejectConfig`.
  • app-server: expose loaded thread status via read/list and notifications (#11786)
    Motivation
    - Today, a newly connected client has no direct way to determine the
    current runtime status of threads from read/list responses alone.
    - This forces clients to infer state from transient events, which can
    lead to stale or inconsistent UI when reconnecting or attaching late.
    
    Changes
    - Add `status` to `thread/read` responses.
    - Add `statuses` to `thread/list` responses.
    - Emit `thread/status/changed` notifications with `threadId` and the new
    status.
    - Track runtime status for all loaded threads and default unknown
    threads to `idle`.
    - Update protocol/docs/tests/schema fixtures for the revised API.
    
    Testing
    - Validated protocol API changes with automated protocol tests and
    regenerated schema/type fixtures.
    - Validated app-server behavior with unit and integration test suites,
    including status transitions and notifications.
  • app-server support for Windows sandbox setup. (#12025)
    app-server support for initiating Windows sandbox setup.
    server responds quickly to setup request and makes a future RPC call
    back to client when the setup finishes.
    
    The TUI implementation is unaffected but in a future PR I'll update the
    TUI to use the shared setup helper
    (`windows_sandbox.run_windows_sandbox_setup`)
  • app-server: Emit thread archive/unarchive notifications (#12030)
    * Add v2 server notifications `thread/archived` and `thread/unarchived`
    with a `threadId` payload.
    * Wire new events into `thread/archive` and `thread/unarchive` success
    paths.
    * Update app-server protocol/schema/docs accordingly.
    
    Testing:
    - Updated archive/unarchive end-to-end tests to verify both
    notifications are emitted with the expected thread id payload.
  • [apps] Expose more fields from apps listing endpoints. (#11706)
    - [x] Expose app_metadata, branding, and labels in AppInfo.
  • Add remote skill scope/product_surface/enabled params and cleanup (#11801)
    skills/remote/list: params=hazelnutScope, productSurface, enabled;
    returns=data: { id, name, description }[]
    skills/remote/export: params=hazelnutId; returns={ id, path }
  • Feat: add model reroute notification (#12001)
    ### Summary
    Builiding off
    https://github.com/openai/codex/pull/11964/files/5c75aa7b89a70bc2cc410a6fd238749306ec4c5e#diff-058ae8f109a8b84b4b79bbfa45f522c2233b9d9e139696044ae374d50b6196e0,
    we have created a `model/rerouted` notification that captures the event
    so that consumers can render as expected. Keep the `EventMsg::Warning`
    path in core so that this does not affect TUI rendering.
    
    `model/rerouted` is meant to be generic to account for future usage
    including capacity planning etc.
  • fix: send unfiltered models over model/list (#11793)
    ### What
    to unblock filtering models in VSCE, change `model/list` app-server
    endpoint to send all models + visibility field `showInPicker` so
    filtering can be done in VSCE if desired.
    
    ### Tests
    Updated tests.
  • Add cwd as an optional field to thread/list (#11651)
    Add's the ability to filter app-server thread/list by cwd
  • [apps] Add is_enabled to app info. (#11417)
    - [x] Add is_enabled to app info and the response of `app/list`.
    - [x] Update TUI to have Enable/Disable button on the app detail page.
  • feat: make sandbox read access configurable with ReadOnlyAccess (#11387)
    `SandboxPolicy::ReadOnly` previously implied broad read access and could
    not express a narrower read surface.
    This change introduces an explicit read-access model so we can support
    user-configurable read restrictions in follow-up work, while preserving
    current behavior today.
    
    It also ensures unsupported backends fail closed for restricted-read
    policies instead of silently granting broader access than intended.
    
    ## What
    
    - Added `ReadOnlyAccess` in protocol with:
      - `Restricted { include_platform_defaults, readable_roots }`
      - `FullAccess`
    - Updated `SandboxPolicy` to carry read-access configuration:
      - `ReadOnly { access: ReadOnlyAccess }`
      - `WorkspaceWrite { ..., read_only_access: ReadOnlyAccess }`
    - Preserved existing behavior by defaulting current construction paths
    to `ReadOnlyAccess::FullAccess`.
    - Threaded the new fields through sandbox policy consumers and call
    sites across `core`, `tui`, `linux-sandbox`, `windows-sandbox`, and
    related tests.
    - Updated Seatbelt policy generation to honor restricted read roots by
    emitting scoped read rules when full read access is not granted.
    - Added fail-closed behavior on Linux and Windows backends when
    restricted read access is requested but not yet implemented there
    (`UnsupportedOperation`).
    - Regenerated app-server protocol schema and TypeScript artifacts,
    including `ReadOnlyAccess`.
    
    ## Compatibility / rollout
    
    - Runtime behavior remains unchanged by default (`FullAccess`).
    - API/schema changes are in place so future config wiring can enable
    restricted read access without another policy-shape migration.
  • change model cap to server overload (#11388)
    # External (non-OpenAI) Pull Request Requirements
    
    Before opening this Pull Request, please read the dedicated
    "Contributing" markdown file or your PR may be closed:
    https://github.com/openai/codex/blob/main/docs/contributing.md
    
    If your PR conforms to our contribution guidelines, replace this text
    with a detailed and high quality description of your changes.
    
    Include a link to a bug report or enhancement request.
  • feat: support multiple rate limits (#11260)
    Added multi-limit support end-to-end by carrying limit_name in
    rate-limit snapshots and handling multiple buckets instead of only
    codex.
    Extended /usage client parsing to consume additional_rate_limits
    Updated TUI /status and in-memory state to store/render per-limit
    snapshots
    Extended app-server rate-limit read response: kept rate_limits and added
    rate_limits_by_name.
    Adjusted usage-limit error messaging for non-default codex limit buckets
  • [apps] Add thread_id param to optionally load thread config for apps feature check. (#11279)
    - [x] Add thread_id param to optionally load thread config for apps
    feature check
  • fix(app-server): for external auth, replace id_token with chatgpt_acc… (#11240)
    …ount_id and chatgpt_plan_type
    
    ### Summary
    Following up on external auth mode which was introduced here:
    https://github.com/openai/codex/pull/10012
    
    Turns out some clients have a differently shaped ID token and don't have
    a chosen workspace (aka chatgpt_account_id) encoded in their ID token.
    So, let's replace `id_token` param with `chatgpt_account_id` and
    `chatgpt_plan_type` (optional) when initializing the external ChatGPT
    auth mode (`account/login/start` with `chatgptAuthTokens`).
    
    The client was able to test end-to-end with a Codex build from this
    branch and verified it worked!
  • [apps] Improve app loading. (#10994)
    There are two concepts of apps that we load in the harness:
    
    - Directory apps, which is all the apps that the user can install.
    - Accessible apps, which is what the user actually installed and can be
    $ inserted and be used by the model. These are extracted from the tools
    that are loaded through the gateway MCP.
    
    Previously we wait for both sets of apps before returning the full apps
    list. Which causes many issues because accessible apps won't be
    available to the UI or the model if directory apps aren't loaded or
    failed to load.
    
    In this PR we are separating them so that accessible apps can be loaded
    separately and are instantly available to be shown in the UI and to be
    provided in model context. We also added an app-server event so that
    clients can subscribe to also get accessible apps without being blocked
    on the full app list.
    
    - [x] Separate accessible apps and directory apps loading.
    - [x] `app/list` request will also emit `app/list/updated` notifications
    that app-server clients can subscribe. Which allows clients to get
    accessible apps list to render in the $ menu without being blocked by
    directory apps.
    - [x] Cache both accessible and directory apps with 1 hour TTL to avoid
    reloading them when creating new threads.
    - [x] TUI improvements to redraw $ menu and /apps menu when app list is
    updated.
  • feat(core): add network constraints schema to requirements.toml (#10958)
    ## Summary
    
    Add `requirements.toml` schema support for admin-defined network
    constraints in the requirements layer
    
    example config:
    
    ```
    [experimental_network]
    enabled = true
    allowed_domains = ["api.openai.com"]
    denied_domains = ["example.com"]
    ```
  • Add resume_agent collab tool (#10903)
    Summary
    - add the new resume_agent collab tool path through core, protocol, and
    the app server API, including the resume events
    - update the schema/TypeScript definitions plus docs so resume_agent
    appears in generated artifacts and README
    - note that resumed agents rehydrate rollout history without overwriting
    their base instructions
    
    Testing
    - Not run (not requested)
  • feat: add support for allowed_web_search_modes in requirements.toml (#10964)
    This PR makes it possible to disable live web search via an enterprise
    config even if the user is running in `--yolo` mode (though cached web
    search will still be available). To do this, create
    `/etc/codex/requirements.toml` as follows:
    
    ```toml
    # "live" is not allowed; "disabled" is allowed even though not listed explicitly.
    allowed_web_search_modes = ["cached"]
    ```
    
    Or set `requirements_toml_base64` MDM as explained on
    https://developers.openai.com/codex/security/#locations.
    
    ### Why
    - Enforce admin/MDM/`requirements.toml` constraints on web-search
    behavior, independent of user config and per-turn sandbox defaults.
    - Ensure per-turn config resolution and review-mode overrides never
    crash when constraints are present.
    
    ### What
    - Add `allowed_web_search_modes` to requirements parsing and surface it
    in app-server v2 `ConfigRequirements` (`allowedWebSearchModes`), with
    fixtures updated.
    - Define a requirements allowlist type (`WebSearchModeRequirement`) and
    normalize semantics:
      - `disabled` is always implicitly allowed (even if not listed).
      - An empty list is treated as `["disabled"]`.
    - Make `Config.web_search_mode` a `Constrained<WebSearchMode>` and apply
    requirements via `ConstrainedWithSource<WebSearchMode>`.
    - Update per-turn resolution (`resolve_web_search_mode_for_turn`) to:
    - Prefer `Live → Cached → Disabled` when
    `SandboxPolicy::DangerFullAccess` is active (subject to requirements),
    unless the user preference is explicitly `Disabled`.
    - Otherwise, honor the user’s preferred mode, falling back to an allowed
    mode when necessary.
    - Update TUI `/debug-config` and app-server mapping to display
    normalized `allowed_web_search_modes` (including implicit `disabled`).
    - Fix web-search integration tests to assert cached behavior under
    `SandboxPolicy::ReadOnly` (since `DangerFullAccess` legitimately prefers
    `live` when allowed).
  • fix(tui): conditionally restore status indicator using message phase (#10947)
    TLDR: use new message phase field emitted by preamble-supported models
    to determine whether an AgentMessage is mid-turn commentary. if so,
    restore the status indicator afterwards to indicate the turn has not
    completed.
    
    ### Problem
    `commit_tick` hides the status indicator while streaming assistant text.
    For preamble-capable models, that text can be commentary mid-turn, so
    hiding was correct during streaming but restore timing mattered:
    - restoring too aggressively caused jitter/flashing
    - not restoring caused indicator to stay hidden before subsequent work
    (tool calls, web search, etc.)
    
    ### Fix
    - Add optional `phase` to `AgentMessageItem` and propagate it from
    `ResponseItem::Message`
    - Keep indicator hidden during streamed commit ticks, restore only when:
      - assistant item completes as `phase=commentary`, and
      - stream queues are idle + task is still running.
    - Treat `phase=None` as final-answer behavior (no restore) to keep
    existing behavior for non-preamble models
    
    ### Tests
    Add/update tests for:
    - no idle-tick restore without commentary completion
    - commentary completion restoring status before tool begin
    - snapshot coverage for preamble/status behavior
    
    ---------
    
    Co-authored-by: Josh McKinney <joshka@openai.com>
  • Mark Config.apps as experimental, correct schema generation issue (#10938)
    This PR makes `Config.apps `experimental-only and fixes a TS schema
    post-processing bug that removed needed imports. The bug happened
    because import pruning only checked the inner type body after filtering,
    not the full alias, so `JsonValue` got dropped from `Config.ts`. We now
    prune against the full alias body and added a regression test for this
    scenario.
  • chore(app-server): add experimental annotation to relevant fields (#10928)
    These fields had always been documented as experimental/unstable with
    docstrings, but now let's actually use the `experimental` annotation to
    be more explicit.
    
    - thread/start.experimentalRawEvents
    - thread/resume.history
    - thread/resume.path
    - thread/fork.path
    - turn/start.collaborationMode
    - account/login/start.chatgptAuthTokens
  • Add app configs to config.toml (#10822)
    Adds app configs to config.toml + tests
  • feat(app-server): turn/steer API (#10821)
    This PR adds a dedicated `turn/steer` API for appending user input to an
    in-flight turn.
    
    ## Motivation
    Currently, steering in the app is implemented by just calling
    `turn/start` while a turn is running. This has some really weird quirks:
    - Client gets back a new `turn.id`, even though streamed
    events/approvals remained tied to the original active turn ID.
    - All the various turn-level override params on `turn/start` do not
    apply to the "steer", and would only apply to the next real turn.
    - There can also be a race condition where the client thinks the turn is
    active but the server has already completed it, so there might be bugs
    if the client has baked in some client-specific behavior thinking it's a
    steer when in fact the server kicked off a new turn. This is
    particularly possible when running a client against a remote app-server.
    
    Having a dedicated `turn/steer` API eliminates all those quirks.
    
    `turn/steer` behavior:
    - Requires an active turn on threadId. Returns a JSON-RPC error if there
    is no active turn.
    - If expectedTurnId is provided, it must match the active turn (more
    useful when connecting to a remote app-server).
    - Does not emit `turn/started`.
    - Does not accept turn overrides (`cwd`, `model`, `sandbox`, etc.) or
    `outputSchema` to accurately reflect that these are not applied when
    steering.
  • Add stage field for experimental flags. (#10793)
    - [x] Add stage field for experimental flags.
  • [app-server] Add a method to list experimental features. (#10721)
    - [x] Add a method to list experimental features.
  • feat(app-server, core): allow text + image content items for dynamic tool outputs (#10567)
    Took over the work that @aaronl-openai started here:
    https://github.com/openai/codex/pull/10397
    
    Now that app-server clients are able to set up custom tools (called
    `dynamic_tools` in app-server), we should expose a way for clients to
    pass in not just text, but also image outputs. This is something the
    Responses API already supports for function call outputs, where you can
    pass in either a string or an array of content outputs (text, image,
    file):
    https://platform.openai.com/docs/api-reference/responses/create#responses_create-input-input_item_list-item-function_tool_call_output-output-array-input_image
    
    So let's just plumb it through in Codex (with the caveat that we only
    support text and image for now). This is implemented end-to-end across
    app-server v2 protocol types and core tool handling.
    
    ## Breaking API change
    NOTE: This introduces a breaking change with dynamic tools, but I think
    it's ok since this concept was only recently introduced
    (https://github.com/openai/codex/pull/9539) and it's better to get the
    API contract correct. I don't think there are any real consumers of this
    yet (not even the Codex App).
    
    Old shape:
    `{ "output": "dynamic-ok", "success": true }`
    
    New shape:
    ```
    {
        "contentItems": [
          { "type": "inputText", "text": "dynamic-ok" },
          { "type": "inputImage", "imageUrl": "data:image/png;base64,AAA" }
        ]
      "success": true
    }
    ```
  • add none personality option (#10688)
    - add none personality enum value and empty placeholder behavior\n- add
    docs/schema updates and e2e coverage
  • Add thread/compact v2 (#10445)
    - add `thread/compact` as a trigger-only v2 RPC that submits
    `Op::Compact` and returns `{}` immediately.
    - add v2 compaction e2e coverage for success and invalid/unknown thread
    ids, and update protocol schemas/docs.
  • Feat: add upgrade to app server modelList (#10556)
    ### Summary
    * Add model upgrade to listModel app server endpoint to support
    dynamically show model upgrade banner.