41 Commits

  • feat(app-server): add history_mode to thread (#29927)
    ## Description
    
    This PR adds a new `historyMode = "legacy" | "paginated"` to `Thread`.
    This will be stored in `SessionMeta` in the JSONL rollout file and as a
    new column in the SQLite thread_metadata table, and exposed on
    `thread/start` and on the `Thread` object in app-server.
    
    ## What changed
    
    - Added canonical `ThreadHistoryMode` with `legacy` and `paginated`,
    defaulting old and new SessionMeta to `legacy`.
    - Carried `history_mode` through core session config, ThreadStore stored
    metadata, local/in-memory stores, rollout metadata extraction, and the
    existing SQLite `threads` table.
    - Added experimental `historyMode` to app-server v2 `Thread` and
    `thread/start`.
    - Made paginated stored threads metadata-discoverable but unsupported
    for legacy full-history reads, `load_history`, live resume, and create
    paths.
    - Regenerated app-server schema fixtures and added
    protocol/state/thread-store/app-server coverage for persistence and
    fail-closed behavior.
    
    ## Compatibility floor
    Because users may be running various versions of Codex binaries on the
    same machine (TUI, Codex App, etc.), we will need to establish a
    compatibility floor for upcoming paginated threads, which will change
    how thread storage reads and writes work.
    
    The overall plan here:
    ```
    Release N:
    - Add historyMode to SessionMeta / Thread / SQLite metadata.
    - Teach binaries to understand paginated threads.
    - If a binary sees `historyMode="paginated"` but does not support the paginated contract, it refuses to resume/mutate the thread.
    - Default remains `"legacy"`.
    
    Release N+1:
    - First-party clients start opting into paginated threads where appropriate.
    - Internal dogfood / staged rollout.
    - Measure old-client usage and paginated-thread unsupported errors.
    
    Release N+2:
    - Only after Release N+ is overwhelmingly deployed, make paginated the default.
    - Accept that a small tail of N-1-or-older binaries may not understand paginated threads.
    ```
    
    The important behavior change is fail-closed handling for a binary that
    encounters a persisted `paginated` thread before it knows how to fully
    support paginated history. In app-server, if a thread is `paginated`, we
    will:
    
    - allow metadata-only discovery paths like `thread/list` and
    `thread/read(includeTurns=false)`, so clients can still see the thread
    and inspect its `historyMode`
    - reject legacy full-history/live-thread paths like
    `thread/read(includeTurns=true)` and `thread/resume` with an unsupported
    JSON-RPC error
    - avoid silently treating an unknown or future `historyMode` as `legacy`
    
    Under the hood, the ThreadStore layer also rejects legacy operations
    that would need to load or replay the full thread history for a
    paginated thread. That gives us the behavior we want for Release N:
    future paginated threads are visible, but this binary fails closed
    instead of trying to operate on them as if they were legacy threads.
  • feat: add provider-aware model fallback to thread start (#29942)
    ## Why
    
    Helper threads such as task title generation can request a model ID that
    is valid for the default OpenAI provider but unavailable from the active
    provider. With Amazon Bedrock, `gpt-5.4-mini` is rejected while the
    provider static catalog exposes Bedrock model IDs such as
    `openai.gpt-5.5` and `openai.gpt-5.4`. This causes repeated background
    404s and can surface a misleading turn error even when the main turn
    succeeds.
    
    Clients need an explicit way to ask app-server to resolve an unavailable
    helper model to the active provider default. That fallback must remain
    limited to providers with an authoritative static catalog so custom or
    dynamically discovered model IDs are not rewritten based on an
    incomplete catalog.
    
    Fixes #28741.
    
    ## What changed
    
    - Add the experimental `allowProviderModelFallback` option to
    `thread/start`, defaulting to `false` to preserve existing behavior.
    - Thread the option through thread creation and model selection.
    - When enabled for a static model manager, preserve requested models
    present in the catalog and replace unavailable models with the provider
    default.
    - Continue preserving explicit model IDs for dynamic model managers
    without fetching a catalog solely to validate them.
    - Document the new `thread/start` behavior in the app-server API
    overview.
    
    ## Test
    Temporary test-client harness:
    ```
    ThreadStartParams {
        model: Some("gpt-5.4-mini".to_string()),
        allow_provider_model_fallback: true,
        ..Default::default()
    }
    ```
    Command:
    ```
    CODEX_HOME=/tmp/codex-bedrock-thread-start-home \
    CODEX_E2E_BEDROCK_THREAD_START_ONLY=1 \
    ./target/debug/codex-app-server-test-client \
      --codex-bin ./target/debug/codex \
      -c 'model_provider="amazon-bedrock"' \
      send-message-v2 --experimental-api ignored
    ```
    Relevant output:
    ```
    > "method": "thread/start",
    > "params": {
    >   "model": "gpt-5.4-mini",
    >   "modelProvider": null,
    >   "allowProviderModelFallback": true,
    >   ...
    > }
    
    < "result": {
    <   "model": "openai.gpt-5.5",
    <   "modelProvider": "amazon-bedrock",
    <   ...
    < }
    ```
  • [codex] Add Ultra reasoning effort (#29899)
    ## Why
    
    Ultra should be one user-facing reasoning selection for work that
    benefits from both maximum reasoning and proactive multi-agent
    delegation. Without it, clients must coordinate maximum reasoning with
    the experimental `multiAgentMode` setting, even though the inference
    backend still expects its existing `max` effort value.
    
    This change makes reasoning effort the source of truth: clients select
    `ultra`, core derives proactive multi-agent behavior when the turn is
    eligible for multi-agent V2, and inference requests continue to use the
    backend-compatible `max` value.
    
    ## What changed
    
    - Add `ultra` as a first-class reasoning effort and preserve
    model-catalog ordering when exposing it to clients.
    - Convert `ultra` to `max` at the inference request boundary, including
    Responses HTTP/WebSocket requests, startup prewarm, compaction, and
    memory summarization.
    - Derive effective multi-agent mode per turn from effective reasoning
    effort:
      - eligible multi-agent V2 + `ultra` → `proactive`
      - eligible multi-agent V2 + any other effort → `explicitRequestOnly`
    - V1 or otherwise ineligible sessions → no multi-agent mode instruction
    - Keep the derived effective mode in turn context history so successive
    turns can emit a developer-message update only when the effective mode
    changes.
    - Remove selected multi-agent mode from core session configuration, turn
    construction, thread settings, resume/fork restoration, and subagent
    spawn plumbing. Subagents inherit reasoning effort and derive their own
    effective mode.
    - Retain the experimental app-server `multiAgentMode` fields for wire
    compatibility while marking them deprecated. Request values are accepted
    but ignored; compatibility response fields report `explicitRequestOnly`.
    - Display Ultra in the TUI using the order supplied by `model/list`.
    
    ## Validation
    
    - `just test -p codex-core ultra_reasoning_uses_max_for_requests`
    - `just test -p codex-tui model_reasoning_selection_popup`
  • Namespace multi-agent v2 tools under collaboration (#29067)
    ## Summary
    
    Multi-agent v2 tools now use the fixed `collaboration` namespace when
    namespace tools are available. This keeps the model-visible hint and the
    actual tool surface aligned around `functions.collaboration.*`, without
    exposing an unshipped namespace knob to users.
    
    The PR also removes the old `features.multi_agent_v2.tool_namespace`
    config/schema surface, updates the MAv2 test fixtures for namespaced
    calls, and fixes stale `TurnContext.features` references that were
    breaking `codex-core` builds.
    
    ## Changes
    
    - Expose MAv2 tools under `collaboration` instead of relying on a
    configurable namespace.
    - Remove `tool_namespace` from MAv2 TOML config, resolved config,
    validation, schema, and tests.
    - Update tool-planning and integration fixtures to assert or emit
    namespaced MAv2 tool calls.
    - Read feature state through `TurnContext.config.features` in the
    multi-agent mode context paths.
    
    ## Testing
    
    - `just write-config-schema`
    - `just test -p codex-features`
  • feat(core): store turn_id on ResponseItem metadata (#28360)
    ## Description
    
    This PR is a followup to https://github.com/openai/codex/pull/28355 and
    starts assigning `internal_chat_message_metadata_passthrough.turn_id` to
    durable Responses API items created during a turn.
    
    The goal is that those items keep the `turn_id` that introduced them
    when Codex resends stateless HTTP context, reconstructs history for
    resume/fork paths, or reuses websocket response state.
    
    ## What changed
    
    - Set `internal_chat_message_metadata_passthrough.turn_id` when missing
    as response items enter durable history, initial/replacement history,
    inter-agent communication history, and local compaction summaries.
    - Preserve existing item turn IDs instead of overwriting them during
    persistence, resume reconstruction, compaction, forked history, and
    websocket incremental reuse.
    - Keep `compaction_trigger` fieldless because it is a request control,
    not a durable response item.
    - Update focused history/request assertions and fixtures for stateless
    requests, websocket incrementals, compaction, thread injection, prompt
    debug, and related CI coverage.
  • core: rename metadata -> internal_chat_message_metadata_passthrough (#28968)
    ## Description
    This PR cuts Codex over from generic `ResponseItem.metadata` (introduced
    here: https://github.com/openai/codex/pull/28355) to
    `ResponseItem.internal_chat_message_metadata_passthrough`, which is the
    blessed path and has strongly-typed keys.
    
    For now we have to drop this MAv2 usage of `metadata`:
    https://github.com/openai/codex/pull/28561 until we figure out where
    that should live.
  • Expose thread-level multi-agent mode (#28792)
    ## Why
    
    Once multi-agent mode can be selected per turn, clients also need to
    choose the initial selection when creating a thread and observe that
    selection through lifecycle and settings APIs.
    
    The selected value is intentionally distinct from the effective
    model-visible value: no client selection is represented as `null`, even
    though an eligible multi-agent v2 turn derives `explicitRequestOnly` as
    its effective default.
    
    ## What changed
    
    - Add the optional experimental `thread/start.multiAgentMode` parameter
    and pass it through thread creation.
    - Preserve an omitted initial value as an unset selection rather than
    eagerly storing `explicitRequestOnly`.
    - Apply an explicit `thread/start` selection to the first turn through
    the session configuration established at thread creation.
    - Restore the latest persisted effective mode as the selected baseline
    on cold resume when rollout history contains one.
    - Inherit the optional selected mode from a loaded parent when creating
    related runtime threads.
    - Return the current selected `multiAgentMode` from `thread/start`,
    `thread/resume`, `thread/fork`, and thread settings, using `null` when
    no mode is selected.
    - Keep lifecycle reporting independent from model capability and feature
    eligibility; core turn construction remains responsible for calculating
    and persisting the effective mode.
    
    ## Not covered
    
    - Clearing an existing loaded-session selection back to unset through
    `turn/start`; omitted or `null` currently retains the session's
    selection.
    - A TUI control, slash command, or `config.toml` preference.
    
    ## Verification
    
    - `CARGO_INCREMENTAL=0 just test -p codex-app-server-protocol`
    - `CARGO_INCREMENTAL=0 just test -p codex-app-server multi_agent_mode`
    
    The focused app-server coverage verifies explicit `thread/start`
    initialization, first-turn prompting, nullable reporting for an omitted
    selection, and retention of selections that are not currently
    runtime-eligible.
    
    ## Stack
    
    Stacked on #28685. This PR contains only the thread initialization and
    lifecycle/settings API layer.
  • Support openai/form extended form elicitations (#27500)
    # Summary
    Allow App Server clients to opt into `openai/form` MCP elicitations.
  • Add join key for MAv2 inter-agent messages (#28561)
    ## Summary
    This keeps inter-agent communication on the existing raw response item
    path and adds a join key for MAv2 tool calls.
    
    MAv2 `spawn_agent`, `send_message`, and `followup_task` now stamp the
    originating tool call id into `ResponseItemMetadata.source_call_id` on
    the raw `ResponseItem::AgentMessage`. App-server clients can join that
    raw item back to the existing tool/activity event by call id, while
    using the raw agent message's existing sender, receiver, and content
    fields.
    
    No new app-server `ThreadItem` or notification type is added.
    
    ## Tests
    - `just fmt`
    - `just write-app-server-schema`
    - `just test -p codex-protocol`
    - `just test -p codex-app-server-protocol`
    - `just test -p codex-core
    multi_agent_v2_spawn_returns_path_and_send_message_accepts_relative_path`
    - `just test -p codex-core
    multi_agent_v2_followup_task_completion_notifies_parent_on_every_turn`
    - `just fix -p codex-protocol`
    - `just fix -p codex-app-server-protocol`
    - `just fix -p codex-core`
  • core: surface terminal subagent errors to parent agents (#28375)
    ## Why
    
    When a subagent exhausts its retries, it emits an `Error`, but the
    generic task lifecycle then emits `TurnComplete(None)`. That completion
    used to overwrite the subagent's `Errored` status with
    `Completed(None)`, so the parent received an empty completion
    notification.
    
    This made a failed child look indistinguishable from a child that
    completed without an answer. In unattended or long-running multi-agent
    work, the root could silently continue without knowing that delegated
    work failed or how to restart it.
    
    ## Behavior
    
    Before, a terminal stream failure was reduced to an empty completion:
    
    ```text
    <subagent_notification>
    {"agent_path":"/root/worker","status":{"completed":null}}
    </subagent_notification>
    ```
    
    Now the parent receives the actual terminal error, bounded to 1,000
    tokens, together with an actionable recovery hint:
    
    ```text
    <subagent_notification>
    {
      "agent_path": "/root/worker",
      "status": {
        "errored": "stream disconnected before completion: stream closed before response.completed"
      },
      "next_action": "This agent's turn failed. If you still need this agent, use `followup_task` to give it another task."
    }
    </subagent_notification>
    ```
    
    The notification remains queue-only: it does not wake the root or replay
    the failed request. The root sees it at the next sampling boundary and
    can use `followup_task` to start a new turn for that agent.
    
    ## What changed
    
    - Added terminal-error precedence to the [agent status
    reducer](https://github.com/openai/codex/blob/e95fcfe2bb6a02f1a75650afa20048859f556511/codex-rs/core/src/agent/status.rs#L23-L34),
    so a closing `TurnComplete` cannot erase an immediately preceding
    `Errored` status.
    - Made MultiAgentV2 completion forwarding use the retained session
    status instead of re-deriving `Completed(None)` from the final event.
    - Extended the [subagent notification
    fragment](https://github.com/openai/codex/blob/e95fcfe2bb6a02f1a75650afa20048859f556511/codex-rs/core/src/context/subagent_notification.rs#L6-L60)
    with a `next_action` for terminal errors and a hard cap on model-visible
    error text.
    - Kept successful completions and interrupted turns unchanged.
    
    ## Verification
    
    - Added a status-reducer test proving that `Errored` survives the
    trailing `TurnComplete`.
    - Added an integration test that exhausts a subagent's stream retries
    and verifies the exact `agent_message` delivered to the parent,
    including the error and `followup_task` guidance.
    - Re-ran the existing successful-completion and interrupted-turn
    notification tests.
  • feat: render typed envelopes for multi-agent v2 messages (#28368)
    ## Why
    
    Multi-agent v2 messages need a consistent, model-visible envelope that
    identifies what kind of interaction occurred, who sent it, and which
    agent it targets. Previously, encrypted deliveries exposed only
    `encrypted_content`, while child completion used the legacy
    `<subagent_notification>` shape. That meant the client could not
    consistently present `NEW_TASK`, `MESSAGE`, and `FINAL_ANSWER` using the
    same format.
    
    This change adds the routing envelope as plaintext while keeping task
    and message payloads encrypted. No new Responses API field is required:
    an encrypted delivery is represented as an `input_text` header
    immediately followed by its existing `encrypted_content` item.
    
    Every envelope now follows this shape:
    
    ```text
    Message Type: <NEW_TASK | MESSAGE | FINAL_ANSWER>
    Task name: <recipient agent path>
    Sender: <author agent path>
    Payload:
    <message payload>
    ```
    
    ## Message types
    
    ### `NEW_TASK`
    
    `NEW_TASK` is used when the recipient should begin a new turn, including
    an initial `spawn_agent` task and a later `followup_task`.
    
    For a root agent spawning `/root/worker`, the request contains a
    plaintext envelope followed by the encrypted task:
    
    ```json
    {
      "type": "agent_message",
      "author": "/root",
      "recipient": "/root/worker",
      "content": [
        {
          "type": "input_text",
          "text": "Message Type: NEW_TASK\nTask name: /root/worker\nSender: /root\nPayload:\n"
        },
        {
          "type": "encrypted_content",
          "encrypted_content": "<encrypted task payload>"
        }
      ]
    }
    ```
    
    Conceptually, the model receives:
    
    ```text
    Message Type: NEW_TASK
    Task name: /root/worker
    Sender: /root
    Payload:
    Review the authentication changes and report any regressions.
    ```
    
    ### `MESSAGE`
    
    `MESSAGE` is used for a queued `send_message` delivery. It communicates
    with an existing agent without starting a new turn.
    
    For `/root/worker` reporting progress to the root agent, the request
    contains:
    
    ```json
    {
      "type": "agent_message",
      "author": "/root/worker",
      "recipient": "/root",
      "content": [
        {
          "type": "input_text",
          "text": "Message Type: MESSAGE\nTask name: /root\nSender: /root/worker\nPayload:\n"
        },
        {
          "type": "encrypted_content",
          "encrypted_content": "<encrypted message payload>"
        }
      ]
    }
    ```
    
    Conceptually, the model receives:
    
    ```text
    Message Type: MESSAGE
    Task name: /root
    Sender: /root/worker
    Payload:
    The protocol tests pass; I am checking the resume path now.
    ```
    
    ### `FINAL_ANSWER`
    
    `FINAL_ANSWER` is emitted when a child agent reaches a terminal state
    and reports its result to its parent. Completion payloads are already
    available locally, so the complete envelope is represented as plaintext
    rather than as a plaintext header plus encrypted content.
    
    For `/root/worker` completing work for the root agent, the request
    contains:
    
    ```json
    {
      "type": "agent_message",
      "author": "/root/worker",
      "recipient": "/root",
      "content": [
        {
          "type": "input_text",
          "text": "Message Type: FINAL_ANSWER\nTask name: /root\nSender: /root/worker\nPayload:\nNo regressions found."
        }
      ]
    }
    ```
    
    The model-visible form is:
    
    ```text
    Message Type: FINAL_ANSWER
    Task name: /root
    Sender: /root/worker
    Payload:
    No regressions found.
    ```
    
    Errored, shut down, and missing agents also use `FINAL_ANSWER`, with a
    terminal-status description in the payload.
    
    ## What changed
    
    - Render `NEW_TASK` or `MESSAGE` in
    `InterAgentCommunication::to_model_input_item`, based on whether the
    encrypted delivery starts a turn.
    - Replace the multi-agent v2 `<subagent_notification>` completion
    payload with a model-visible `FINAL_ANSWER` envelope.
    - Document `Task name`, `Sender`, and `Payload` consistently in the
    multi-agent developer instructions.
    - Prevent local-only history projections from treating an encrypted
    message's plaintext header as the complete assistant message.
    - Preserve rollout-trace interaction edges when an agent message
    contains both plaintext and encrypted content.
    
    Legacy multi-agent behavior remains unchanged.
    
    ## Verification
    
    - `just test -p codex-protocol`
    - `just test -p codex-rollout-trace`
    - `just test -p codex-web-search-extension`
    - `just test -p codex-core
    encrypted_multi_agent_v2_spawn_sends_agent_message_to_child`
    - `just test -p codex-core
    plaintext_multi_agent_v2_completion_sends_agent_message`
    - `just test -p codex-core
    multi_agent_v2_followup_task_completion_notifies_parent_on_every_turn`
    - `just test -p codex-core
    multi_agent_v2_completion_queues_message_for_direct_parent`
  • [codex] Use expect in integration tests (#28441)
    The workspace denies `clippy::expect_used` in production. Although
    `clippy.toml` allows `expect` in tests, Bazel Clippy compiles
    integration-test helper code in a way that does not receive that
    exemption, which encouraged verbose `unwrap_or_else(... panic!(...))`
    and equivalent `match`/`let else` forms.
    
    This allows `clippy::expect_used` once at each integration-test crate
    root (including aggregated suites and test-support libraries), then
    replaces manual panic-based Result and Option unwraps with
    `expect`/`expect_err`. Standalone `tests/*.rs` files remain their own
    crate roots. Intentional assertion and unexpected-variant panics remain
    unchanged, and the production `expect_used = "deny"` lint remains in
    place.
    
    The cleanup is mechanical and net-negative in line count.
  • Support plaintext agent messages (#27830)
    ## Why
    
    Multi-agent v2 `send_message` deliveries already reach the receiving
    model as typed `agent_message` items with encrypted content.
    Child-completion notifications are generated by Codex itself, so their
    content is plaintext and previously fell back to a serialized JSON
    envelope inside an assistant message.
    
    With plaintext `input_text` supported for `agent_message`, both delivery
    paths can use the same model-visible type while preserving explicit
    author and recipient metadata.
    
    ## What changed
    
    - add plaintext `input_text` support to `AgentMessageInputContent` and
    regenerate the affected app-server schemas
    - preserve `InterAgentCommunication` as structured mailbox input instead
    of converting it to assistant text
    - record delivered communications as typed `agent_message` history items
    - persist a dedicated rollout item so local delivery metadata such as
    `trigger_turn` remains available without leaking into the Responses
    request
    - reconstruct typed agent messages on resume and preserve fork-turn
    truncation behavior
    - remove request-time assistant-content parsing
    - preserve plaintext and encrypted inter-agent deliveries in stage-one
    memory inputs
    - normalize and link plaintext and encrypted agent messages in rollout
    traces without treating inbound messages as child results
    - cover the real MultiAgent V2 child-completion path end to end with
    deterministic mailbox synchronization
    
    ## Verification
    
    - `just test -p codex-core
    plaintext_multi_agent_v2_completion_sends_agent_message`
    - `just test -p codex-core input_queue_drains_mailbox_in_delivery_order
    record_initial_history_reconstructs_typed_inter_agent_message
    fork_turn_positions_use_inter_agent_delivery_metadata`
    - `just test -p codex-memories-write
    serializes_inter_agent_communications_for_memory`
    - `just test -p codex-rollout-trace
    agent_messages_preserve_routing_and_content
    sub_agent_started_activity_creates_spawn_edge`
    - `just test -p codex-rollout-trace
    agent_result_edge_falls_back_to_child_thread_without_result_message`
    - `just test -p codex-protocol -p codex-rollout -p
    codex-app-server-protocol`
  • Load selected executor skills through extensions (#27184)
    ## Why
    
    CCA is moving toward a split runtime where the orchestrator may not have
    a filesystem, while executors can expose preinstalled plugins and
    skills. A thread therefore needs to select capabilities without asking
    app-server or core to interpret executor-owned paths through the
    orchestrator's filesystem.
    
    The longer-term model is broader than executor skills:
    
    - A plugin is a bundle of skills, MCP servers, connectors/apps, and
    hooks.
    - A plugin root can be local, executor-owned, or hosted by a backend.
    - Components inside one plugin can use different access and execution
    mechanisms. A skill may be read from a filesystem or through backend
    tools; an HTTP MCP server can run without an executor; a stdio MCP
    server or hook needs an execution environment.
    - Core should carry generic extension initialization data. The extension
    that owns a component should discover it, expose it to the model, and
    invoke it through the appropriate runtime.
    
    This PR establishes that architecture through one complete vertical:
    selecting a root on an executor, discovering the skills beneath it,
    exposing those skills to the model, and reading an explicitly invoked
    `SKILL.md` through the same executor.
    
    ## Contract
    
    `thread/start` gains an experimental `selectedCapabilityRoots` field:
    
    ```json
    {
      "selectedCapabilityRoots": [
        {
          "id": "deploy-plugin@1",
          "location": {
            "type": "environment",
            "environmentId": "workspace",
            "path": "/opt/codex/plugins/deploy"
          }
        }
      ]
    }
    ```
    
    The root is intentionally not classified as a "plugin" or "skill" in the
    API. It can point at a standalone skill, a directory containing several
    skills, or a plugin containing skills and other components. This PR only
    teaches the skills extension how to consume it; later extensions can
    resolve MCP, connector, and hook components from the same selection.
    
    The platform-supplied `id` is stable selection identity. The location
    says which runtime owns the root and gives that runtime an opaque path.
    App-server does not inspect or canonicalize the path.
    
    ## What changed
    
    ### Generic thread extension initialization
    
    App-server converts selected roots into `ExtensionDataInit`. Core
    carries that generic initialization value until the final thread ID is
    known, then creates thread-scoped `ExtensionData` before lifecycle
    contributors run.
    
    This keeps `Session` and core independent of the capability-selection
    contract. The initialization value is consumed during construction; it
    is not retained as another long-lived `Session` field.
    
    ### Executor-backed skills
    
    The skills extension now owns an `ExecutorSkillProvider` that:
    
    - resolves the selected environment through `EnvironmentManager`
    - discovers, canonicalizes, and reads skills through that environment's
    `ExecutorFileSystem`
    - contributes the bounded selected-skill catalog as stable developer
    context
    - reads an explicitly invoked skill body through the authority that
    listed it
    - warns when an environment or root is unavailable
    - never falls back to the orchestrator filesystem for an executor-owned
    root
    
    Skill catalog and instruction fragments have hard byte bounds, which
    also bound them below the 10K-token per-item context limit. If a
    selected executor skill has the same name as a legacy local skill, the
    executor selection owns that invocation and the local body is not
    injected a second time.
    
    Existing local and bundled skill loading remains in place. Omitting
    `selectedCapabilityRoots` therefore preserves current local-only
    behavior.
    
    ## Current semantics
    
    - Only environment-owned locations are represented in this first
    contract.
    - Roots are resolved by the destination extension, not by app-server or
    core.
    - An unavailable executor or invalid root produces a warning and no
    capabilities from that root; it does not trigger a local-filesystem
    fallback.
    - Selection applies to a newly started active thread.
    - MCP servers, connectors, and hooks beneath a selected plugin root are
    not activated yet.
    - Selection is not yet persisted or inherited across resume, fork, or
    subagent creation. Existing local capabilities continue to behave as
    they do today in those flows.
    
    ## Planned vertical follow-ups
    
    1. **Hosted HTTP MCP:** add an extension-backed HTTP MCP source that
    works without an executor, then replace the special-purpose MCP plugins
    loader with that implementation.
    2. **Executor MCP:** register and execute stdio MCP servers through the
    environment that owns the selected plugin root.
    3. **Backend skills:** add a hosted skill source whose catalog and
    bodies are accessed through extension tools rather than a filesystem.
    4. **Connectors and hooks:** activate those components through their
    owning extensions, using the same selected-root boundary and
    component-specific runtime.
    5. **Durable selection:** define the desired-selection lifecycle,
    persist it, and make resume, fork, and subagent inheritance explicit
    rather than accidental.
    6. **Local convergence:** incrementally route existing local plugin,
    skill, and MCP loading through the same extension model while preserving
    current local behavior.
    
    Each follow-up remains reviewable as an end-to-end capability. The
    platform selects roots, generic thread extension data carries the
    selection, and the owning extension resolves and operates its component.
    
    ## Verification
    
    Coverage added for:
    
    - app-server end-to-end discovery and explicit invocation of a skill
    inside an executor-selected plugin root
    - exclusive invocation when a selected executor skill collides with a
    local skill name
    - executor filesystem authority for discovery, canonicalization, and
    reads
    - thread extension initialization before lifecycle contributors run
    - stable executor catalog context, explicit invocation, context
    rebuilding, hidden skills, and preserved host/remote catalog behavior
    
    Targeted protocol, core-skills, skills-extension, core lifecycle, and
    app-server executor-skill tests were run during development.
  • Pair thread environment settings (#26687)
    ## Why
    
    Thread cwd and environment selections are a single logical setting in
    core: updating one without the other can silently desynchronize the
    next-turn execution context. This change makes that relationship
    explicit in the internal thread settings flow while preserving the
    existing app-server public API shape.
    
    ## What changed
    
    - Moved the cwd/environment pair through internal
    `ThreadSettingsOverrides.environment_settings` instead of a top-level
    internal `cwd` field.
    - Kept `thread/settings/update` public params unchanged, with app-server
    translating top-level `cwd` into the paired internal settings shape.
    - Moved `Op::UserInput` environment overrides into thread settings so
    user turns and settings updates use the same core path.
    - Updated core, app-server, MCP, memories, sample, and test callsites to
    construct the paired settings shape.
    
    ## Verification
    
    - `git diff --check`
    - Local test run starting after PR creation.
  • Require absolute cwd in thread settings (#26532)
    ## Why
    
    Thread settings cwd overrides are expected to be resolved before they
    enter core. Keeping this boundary as a plain `PathBuf` made it easy for
    core/session code to keep fallback normalization and relative-path
    resolution logic in places that should only receive an already-resolved
    cwd.
    
    This is intentionally the absolute-cwd-only slice: it does not change
    environment selection stickiness or cwd-to-default-environment fallback
    behavior.
    
    ## What changed
    
    - Changes `ThreadSettingsOverrides.cwd`,
    `CodexThreadSettingsOverrides.cwd`, and `SessionSettingsUpdate.cwd` to
    use `AbsolutePathBuf`.
    - Removes core-side cwd normalization/resolution from session settings
    updates.
    - Updates affected core/app-server test helpers and callsites to pass
    existing absolute cwd values or use `abs()` helpers.
    
    ## Validation
    
    Opening as draft so CI can start while local validation continues.
  • Encrypt multi-agent v2 message payloads (#26210)
    ## Why
    
    Multi-agent v2 currently routes agent instructions through normal tool
    arguments and inter-agent context. That means the parent model can emit
    plaintext task text, Codex can persist it in history/rollouts, and the
    recipient can receive it as ordinary assistant-message JSON.
    
    This changes the v2 path so agent instructions stay encrypted between
    model calls: Responses encrypts the `message` argument returned by the
    model, Codex forwards only that ciphertext, and Responses decrypts it
    internally for the recipient model.
    
    ## What changed
    
    - Mark the v2 `message` parameter as encrypted for `spawn_agent`,
    `send_message`, and `followup_task`.
    - Treat multi-agent v2 tool `message` values as ciphertext
    unconditionally.
    - Store v2 inter-agent task text in
    `InterAgentCommunication.encrypted_content` with empty plaintext
    `content`.
    - Convert encrypted inter-agent communications into the Responses
    `agent_message` input item before sending the child request.
    - Preserve `agent_message` items across history, rollout, compaction,
    telemetry, and app-server schema paths.
    - Leave multi-agent v1 unchanged.
    
    ## Message shape
    
    The model still calls the v2 tools with a `message` argument, but that
    value is now ciphertext:
    
    ```json
    {
      "name": "spawn_agent",
      "arguments": {
        "task_name": "worker",
        "message": "<ciphertext>"
      }
    }
    ```
    
    Codex stores the task as encrypted inter-agent communication:
    
    ```json
    {
      "author": "/root",
      "recipient": "/root/worker",
      "content": "",
      "encrypted_content": "<ciphertext>",
      "trigger_turn": true
    }
    ```
    
    When Codex builds the recipient request, it forwards the ciphertext
    using the new Responses input item:
    
    ```json
    {
      "type": "agent_message",
      "author": "/root",
      "recipient": "/root/worker",
      "content": [
        {
          "type": "encrypted_content",
          "encrypted_content": "<ciphertext>"
        }
      ]
    }
    ```
    
    Responses decrypts that item internally for the recipient model.
    
    ## Context impact
    
    - Parent context no longer carries plaintext v2 agent task instructions
    from these tool arguments.
    - Codex rollout/history stores ciphertext for v2 agent instructions.
    - Recipient requests receive an `agent_message` item instead of
    assistant commentary JSON for encrypted task delivery.
    - Plaintext completion/status notifications are still plaintext because
    they are Codex-generated status messages, not encrypted model tool
    arguments.
    
    ## Validation
    
    - `just test -p codex-tools`
    - `just test -p codex-protocol`
    - `just test -p codex-rollout`
    - `just test -p codex-rollout-trace`
    - `just test -p codex-otel`
    - `just write-app-server-schema`
  • app-server: remove experimental persist_extended_history bool flag (#25712)
    ## Summary
    
    Remove the dead experimental `persistExtendedHistory` app-server flag
    and collapse rollout persistence to the single policy app-server already
    used.
    
    ## What Changed
    
    - Removed `persistExtendedHistory` from v2 thread start/resume/fork
    params and deleted its deprecation notice path.
    - Removed the persistence-mode enums and plumbing through core, rollout,
    and thread-store.
    - Made rollout filtering mode-free, keeping the existing limited
    persisted-history behavior.
    
    ## Test Plan
    
    - `just write-app-server-schema`
    - `cargo nextest run --no-fail-fast -p codex-app-server-protocol
    schema_fixtures`
    - `cargo nextest run --no-fail-fast -p codex-app-server
    thread_shell_command_history_responses_exclude_persisted_command_executions`
    - `cargo nextest run --no-fail-fast -p codex-rollout -p
    codex-thread-store`
    - final `rg` for removed flag/type names
  • Add experimental turn additional context (#24154)
    ## Summary
    
    Adds experimental `additionalContext` support to `turn/start` and
    `turn/steer` so clients can provide ephemeral external context, such as
    browser or automation state, without turning that plumbing into a
    visible user prompt or triggering user-prompt lifecycle behavior.
    
    ## API Shape
    
    The parameter shape is:
    
    ```ts
    additionalContext?: Record<string, {
      value: string
      kind: "untrusted" | "application"
    }> | null
    ```
    
    Example:
    
    ```json
    {
      "additionalContext": {
        "browser_info": {
          "value": "Active tab is CI failures.",
          "kind": "untrusted"
        },
        "automation_info": {
          "value": "CI rerun is in progress.",
          "kind": "application"
        }
      }
    }
    ```
    
    The keys are opaque and caller-defined.
    
    ## Context Injection
    
    When provided, accepted entries are inserted into model context as
    hidden contextual message items, not as visible thread user-message
    items.
    
    `kind: "untrusted"` entries are inserted with role `user`:
    
    ```text
    <external_${key}>${value}</external_${key}>
    ```
    
    `kind: "application"` entries are inserted with role `developer`:
    
    ```text
    <${key}>${value}</${key}>
    ```
    
    Values are not escaped. Each value is truncated to 1k approximate tokens
    before wrapping.
    
    For `turn/start`, accepted additional context is inserted before normal
    user input. For `turn/steer`, additional context is merged only when the
    steer includes non-empty user input; context-only steers still reject as
    empty input.
    
    ## Dedupe Strategy
    
    `AdditionalContextStore` lives on session state and stores the latest
    complete additional-context map.
    
    Each `turn/start` or non-empty `turn/steer` treats its
    `additionalContext` as the current complete set of values. Entries are
    injected only when the key is new or the exact entry for that key
    changed, including `value` or `kind`. After merging, the store is
    replaced with the provided map, so omitted keys are removed from the
    retained set and can be injected again later if reintroduced.
    
    Omitting `additionalContext`, passing `null`, or passing an empty object
    resets the store to empty and injects nothing.
    
    ## What Changed
    
    - Threads experimental v2 `additionalContext` through app-server into
    core turn start and steer handling.
    - Adds separate contextual fragment types for untrusted user-role
    context and application developer-role context.
    - Uses pending response input items so additional context can be
    combined with normal user input without treating it as prompt text.
    - Adds integration coverage for start/steer flow, role routing,
    dedupe/reset behavior, deletion/re-add behavior, hook-blocked input
    behavior, empty context-only steer rejection, external-fragment marker
    matching, and truncation.
  • Add subagent identity to hook inputs (#22882)
    # What
    
    When a normal hook fires inside a thread-spawned subagent, Codex now
    includes these optional top-level fields in the hook input:
    
    - `agent_id`: the child thread id
    - `agent_type`: the subagent role
    
    Root-agent hook inputs omit these fields. `SubagentStart` and
    `SubagentStop` keep their existing required `agent_id` and `agent_type`
    fields because those events are inherently subagent-scoped.
    
    This does not change matcher behavior. Tool hooks still match on tool
    name, compact hooks still match on trigger, and `UserPromptSubmit` still
    ignores matchers. Only `SubagentStart` and `SubagentStop` match on
    `agent_type`.
  • [codex] Stabilize subagent start hook test (#23882)
    ## What
    
    Remove the exact captured request-count assertion from the
    `SubagentStart` hook integration test while still waiting for the child
    request that matches the injected hook context.
    
    ## Why
    
    The test owns the start-hook behavior and already verifies that the
    child request reaches the context matcher plus that the start/session
    hook logs have the expected invocations. Counting every request captured
    by the response mock makes the test sensitive to lifecycle timing
    outside that contract and has been flaky in CI.
    
    ## Testing
    
    - `cargo test -p codex-core --test all
    suite::subagent_notifications::subagent_start_replaces_session_start_and_injects_context
    -- --exact`
  • Add SubagentStop hook (#22873)
    # What
    
    <img width="1792" height="1024" alt="image"
    src="https://github.com/user-attachments/assets/8f81d232-5813-4994-a61d-e42a05a93a3e"
    />
    
    `SubagentStop` runs when a thread-spawned subagent turn is about to
    finish. Thread-spawned subagents use `SubagentStop` instead of the
    normal root-agent `Stop` hook.
    
    Configured handlers match on `agent_type`. Hook input includes the
    normal stop fields plus:
    
    - `agent_id`: the child thread id.
    - `agent_type`: the resolved subagent type.
    - `agent_transcript_path`: the child subagent transcript path.
    - `transcript_path`: the parent thread transcript path.
    - `last_assistant_message`: the final assistant message from the child
    turn, when available.
    - `stop_hook_active`: `true` when the child is already continuing
    because an earlier stop-like hook blocked completion.
    
    `SubagentStop` shares the same completion-control semantics as `Stop`,
    scoped to the child turn:
    
    - No decision allows the child turn to finish.
    - `decision: "block"` with a non-empty `reason` records that reason as
    hook feedback and continues the child with that prompt.
    - `continue: false` stops the child turn. If `stopReason` is present,
    Codex surfaces it as the stop reason.
    
    # Lifecycle Scope
    
    Only thread-spawned subagents run `SubagentStop`.
    
    Internal/system subagents such as Review, Compact, MemoryConsolidation,
    and Other do not run normal `Stop` hooks and do not run `SubagentStop`.
    This avoids exposing synthetic matcher labels for internal
    implementation paths.
    
    # Stack
    
    1. #22782: add `SubagentStart`.
    2. This PR: add `SubagentStop`.
    3. #22882: add subagent identity to normal hook inputs.
  • Add SubagentStart hook (#22782)
    # What
    
    `SubagentStart` runs once when Codex creates a thread-spawned subagent,
    before that child sends its first model request. Thread-spawned
    subagents use `SubagentStart` instead of the normal root-agent
    `SessionStart` hook.
    
    Configured handlers match on the subagent `agent_type`, using the same
    value passed to `spawn_agent`. When no agent type is specified, Codex
    uses the default agent type.
    
    Hook input includes the normal session-start fields plus:
    
    - `agent_id`: the child thread id.
    - `agent_type`: the resolved subagent type.
    
    `SubagentStart` may return `hookSpecificOutput.additionalContext`. That
    context is added to the child conversation before the first model
    request.
    
    # Lifecycle Scope
    
    Only thread-spawned subagents run `SubagentStart`.
    
    Internal/system subagents such as Review, Compact, MemoryConsolidation,
    and Other do not run normal `SessionStart` hooks and do not run
    `SubagentStart`. This avoids exposing synthetic matcher labels for
    internal implementation paths.
    
    Also the `SessionStart` hook no longer fires for subagents, this matches
    behavior with other coding agents' implementation
    
    # Stack
    
    1. This PR: add `SubagentStart`.
    2. #22873: add `SubagentStop`.
    3. #22882: add subagent identity to normal hook inputs.
  • chore: namespace v1 sub-agent tools (#23475)
    ## Why
    
    The v1 sub-agent tools are a single tool family, but they were exposed
    as separate flat function tools. This makes the model-visible surface
    less clearly grouped and leaves the legacy names in the same flat
    namespace as newer agent tooling.
    
    ## What
    
    - Wraps the v1 `spawn_agent`, `send_input`, `resume_agent`,
    `wait_agent`, and `close_agent` specs in the `multi_agent_v1` namespace.
    - Registers the corresponding handlers with namespaced runtime tool
    names.
    - Updates tool-planning, deferred tool search, and sub-agent
    notification tests to assert the namespace shape and child `spawn_agent`
    lookup.
    
    ## Verification
    
    - Updated `codex-core` coverage for the v1 multi-agent tool plan,
    deferred tool search output, and sub-agent tool descriptions.
  • Defer v1 multi-agent tools behind tool search (#23144)
    Summary: defer v1 multi-agent tools when tool_search and namespace tools
    are available; keep concise searchable descriptions and move the v1
    usage guidance into developer instructions; add targeted coverage.
    Testing: not run per request; ran just fmt.
  • feat: add session_id (#20437)
    ## Summary
    
    Related to
    https://openai.slack.com/archives/C095U48JNL9/p1777537279707449
    TLDR:
    We update the meaning of session ids and thread ids:
    * thread_id stays as now
    * session_id become a shared id between every thread under a /root
    thread (i.e. every sub-agent share the same session id)
    
    This PR introduces an explicit `SessionId` and threads it through the
    protocol/client boundary so `session_id` and `thread_id` can diverge
    when they need to, while preserving compatibility for older serialized
    `session_configured` events.
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • feat: drop spawned-agent context instructions (#19127)
    ## Why
    
    MultiAgentV2 children should not receive an extra model-visible
    developer fragment just because they were spawned. The parent/configured
    developer instructions should carry through normally, but the dedicated
    `<spawned_agent_context>` block is no longer desired.
    
    ## What changed
    
    - Removed the `SpawnAgentInstructions` context fragment and its
    `<spawned_agent_context>` wrapper.
    - Stopped appending spawned-agent instructions in
    `codex-rs/core/src/tools/handlers/multi_agents_v2/spawn.rs`.
    - Updated subagent notification coverage to assert inherited parent
    developer instructions without expecting the spawned-agent wrapper.
    
    ## Verification
    
    - `cargo test -p codex-core --test all
    spawned_multi_agent_v2_child_inherits_parent_developer_context --
    --nocapture`
    - `cargo test -p codex-core --test all
    skills_toggle_skips_instructions_for_parent_and_spawned_child --
    --nocapture`
    - `cargo test -p codex-core --test all subagent_notifications --
    --nocapture`
  • chore: default multi-agent v2 fork to all (#18873)
    Default sub-agents v2 to `all` for the fork mode
  • Update models.json (#18586)
    - Replace the active models-manager catalog with the deleted core
    catalog contents.
    - Replace stale hardcoded test model slugs with current bundled model
    slugs.
    - Keep this as a stacked change on top of the cleanup PR.
  • chore(multiagent) skills instructions toggle (#18596)
    ## Summary
    Support toggling the skills message off.
    
    ## Test Plan
    - [x] Updated unit tests
  • Sanitize forked child history (#16709)
    - Keep only parent system/developer/user messages plus assistant
    final-answer messages in forked child history.
    - Strip parent tool/reasoning items and remove the unmatched synthetic
    spawn output.
  • chore: clean up argument-comment lint and roll out all-target CI on macOS (#16054)
    ## Why
    
    `argument-comment-lint` was green in CI even though the repo still had
    many uncommented literal arguments. The main gap was target coverage:
    the repo wrapper did not force Cargo to inspect test-only call sites, so
    examples like the `latest_session_lookup_params(true, ...)` tests in
    `codex-rs/tui_app_server/src/lib.rs` never entered the blocking CI path.
    
    This change cleans up the existing backlog, makes the default repo lint
    path cover all Cargo targets, and starts rolling that stricter CI
    enforcement out on the platform where it is currently validated.
    
    ## What changed
    
    - mechanically fixed existing `argument-comment-lint` violations across
    the `codex-rs` workspace, including tests, examples, and benches
    - updated `tools/argument-comment-lint/run-prebuilt-linter.sh` and
    `tools/argument-comment-lint/run.sh` so non-`--fix` runs default to
    `--all-targets` unless the caller explicitly narrows the target set
    - fixed both wrappers so forwarded cargo arguments after `--` are
    preserved with a single separator
    - documented the new default behavior in
    `tools/argument-comment-lint/README.md`
    - updated `rust-ci` so the macOS lint lane keeps the plain wrapper
    invocation and therefore enforces `--all-targets`, while Linux and
    Windows temporarily pass `-- --lib --bins`
    
    That temporary CI split keeps the stricter all-targets check where it is
    already cleaned up, while leaving room to finish the remaining Linux-
    and Windows-specific target-gated cleanup before enabling
    `--all-targets` on those runners. The Linux and Windows failures on the
    intermediate revision were caused by the wrapper forwarding bug, not by
    additional lint findings in those lanes.
    
    ## Validation
    
    - `bash -n tools/argument-comment-lint/run.sh`
    - `bash -n tools/argument-comment-lint/run-prebuilt-linter.sh`
    - shell-level wrapper forwarding check for `-- --lib --bins`
    - shell-level wrapper forwarding check for `-- --tests`
    - `just argument-comment-lint`
    - `cargo test` in `tools/argument-comment-lint`
    - `cargo test -p codex-terminal-detection`
    
    ## Follow-up
    
    - Clean up remaining Linux-only target-gated callsites, then switch the
    Linux lint lane back to the plain wrapper invocation.
    - Clean up remaining Windows-only target-gated callsites, then switch
    the Windows lint lane back to the plain wrapper invocation.
  • 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>
  • Clarify locked role settings in spawn prompt (#14283)
    - tell agents when a role pins model or reasoning effort so they know
    those settings are not changeable
    - add prompt-builder coverage for the locked-setting notes
  • Add spawn_agent model overrides (#14160)
    - add `model` and `reasoning_effort` to the `spawn_agent` schema so the
    values pass through
    - validate requested models against `model.model` and only check that
    the selected model supports the requested reasoning effort
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • 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: sub-agent injection (#12152)
    This PR adds parent-thread sub-agent completion notifications and change
    the prompt of the model to prevent if from being confused