Commit Graph

85 Commits

  • feat: search_tool migrate to bring you own tool of Responses API (#14274)
    ## Why
    
    to support a new bring your own search tool in Responses
    API(https://developers.openai.com/api/docs/guides/tools-tool-search#client-executed-tool-search)
    we migrating our bm25 search tool to use official way to execute search
    on client and communicate additional tools to the model.
    
    ## What
    - replace the legacy `search_tool_bm25` flow with client-executed
    `tool_search`
    - add protocol, SSE, history, and normalization support for
    `tool_search_call` and `tool_search_output`
    - return namespaced Codex Apps search results and wire namespaced
    follow-up tool calls back into MCP dispatch
  • Add realtime start instructions config override (#14270)
    - add `realtime_start_instructions` config support
    - thread it into realtime context updates, schema, docs, and tests
  • chore: add a separate reject-policy flag for skill approvals (#14271)
    ## Summary
    - add `skill_approval` to `RejectConfig` and the app-server v2
    `AskForApproval::Reject` payload so skill-script prompts can be
    configured independently from sandbox and rule-based prompts
    - update Unix shell escalation to reject prompts based on the actual
    decision source, keeping prefix rules tied to `rules`, unmatched command
    fallbacks tied to `sandbox_approval`, and skill scripts tied to
    `skill_approval`
    - regenerate the affected protocol/config schemas and expand
    unit/integration coverage for the new flag and skill approval behavior
  • feat: Add additional macOS Sandbox Permissions for Launch Services, Contacts, Reminders (#14155)
    Add additional macOS Sandbox Permissions levers for the following:
    
    - Launch Services
    - Contacts
    - Reminders
  • Add output schema to MCP tools and expose MCP tool results in code mode (#14236)
    Summary
    - drop `McpToolOutput` in favor of `CallToolResult`, moving its helpers
    to keep MCP tooling focused on the final result shape
    - wire the new schema definitions through code mode, context, handlers,
    and spec modules so MCP tools serialize the exact output shape expected
    by the model
    - extend code mode tests to cover multiple MCP call scenarios and ensure
    the serialized data matches the new schema
    - refresh JS runner helpers and protocol models alongside the schema
    changes
    
    Testing
    - Not run (not requested)
  • Reuse McpToolOutput in McpHandler (#14229)
    We already have a type to represent the MCP tool output, reuse it
    instead of the custom McpHandlerOutput
  • feat(approvals) RejectConfig for request_permissions (#14118)
    ## Summary
    We need to support allowing request_permissions calls when using
    `Reject` policy
    
    <img width="1133" height="588" alt="Screenshot 2026-03-09 at 12 06
    40 PM"
    src="https://github.com/user-attachments/assets/a8df987f-c225-4866-b8ab-5590960daec5"
    />
    
    Note that this is a backwards-incompatible change for Reject policy. I'm
    not sure if we need to add a default based on our current use/setup
    
    ## Testing
    - [x] Added tests
    - [x] Tested locally
  • 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>
  • 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.
  • 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>
  • feat(app-server-protocol): address naming conflicts in json schema exporter (#13819)
    This fixes a schema export bug where two different `WebSearchAction`
    types were getting merged under the same name in the app-server v2 JSON
    schema bundle.
    
    The problem was that v2 thread items use the app-server API's
    `WebSearchAction` with camelCase variants like `openPage`, while
    `ThreadResumeParams.history` and
    `RawResponseItemCompletedNotification.item` pull in the upstream
    `ResponseItem` graph, which uses the Responses API snake_case shape like
    `open_page`. During bundle generation we were flattening nested
    definitions into the v2 namespace by plain name, so the later definition
    could silently overwrite the earlier one.
    
    That meant clients generating code from the bundled schema could end up
    with the wrong `WebSearchAction` definition for v2 thread history. In
    practice this shows up on web search items reconstructed from rollout
    files with persisted extended history.
    
    This change does two things:
    - Gives the upstream Responses API schema a distinct JSON schema name:
    `ResponsesApiWebSearchAction`
    - Makes namespace-level schema definition collisions fail loudly instead
    of silently overwriting
  • Clarify sandbox permission override helper semantics (#13703)
    ## Summary
    Today `SandboxPermissions::requires_additional_permissions()` does not
    actually mean "is `WithAdditionalPermissions`". It returns `true` for
    any non-default sandbox override, including `RequireEscalated`. That
    broad behavior is relied on in multiple `main` callsites.
    
    The naming is security-sensitive because `SandboxPermissions` is used on
    shell-like tool calls to tell the executor how a single command should
    relate to the turn sandbox:
    - `UseDefault`: run with the turn sandbox unchanged
    - `RequireEscalated`: request execution outside the sandbox
    - `WithAdditionalPermissions`: stay sandboxed but widen permissions for
    that command only
    
    ## Problem
    The old helper name reads as if it only applies to the
    `WithAdditionalPermissions` variant. In practice it means "this command
    requested any explicit sandbox override."
    
    That ambiguity made it easy to read production checks incorrectly and
    made the guardian change look like a standalone `main` fix when it is
    not.
    
    On `main` today:
    - `shell` and `unified_exec` intentionally reject any explicit
    `sandbox_permissions` request unless approval policy is `OnRequest`
    - `exec_policy` intentionally treats any explicit sandbox override as
    prompt-worthy in restricted sandboxes
    - tests intentionally serialize both `RequireEscalated` and
    `WithAdditionalPermissions` as explicit sandbox override requests
    
    So changing those callsites from the broad helper to a narrow
    `WithAdditionalPermissions` check would be a behavior change, not a pure
    cleanup.
    
    ## What This PR Does
    - documents `SandboxPermissions` as a per-command sandbox override, not
    a generic permissions bag
    - adds `requests_sandbox_override()` for the broad meaning: anything
    except `UseDefault`
    - adds `uses_additional_permissions()` for the narrow meaning: only
    `WithAdditionalPermissions`
    - keeps `requires_additional_permissions()` as a compatibility alias to
    the broad meaning for now
    - updates the current broad callsites to use the accurately named broad
    helper
    - adds unit coverage that locks in the semantics of all three helpers
    
    ## What This PR Does Not Do
    This PR does not change runtime behavior. That is intentional.
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • fix: accept two macOS automation input shapes for approval payload compatibility (#13683)
    ## Summary
    This PR:
    1. fixes a deserialization mismatch for macOS automation permissions in
    approval payloads by making core parsing accept both supported wire
    shapes for bundle IDs.
    2. added `#[serde(default)]` to `MacOsSeatbeltProfileExtensions` so
    omitted fields deserialize to secure defaults.
    
    
    ## Why this change is needed
    `MacOsAutomationPermission` uses `#[serde(try_from =
    "MacOsAutomationPermissionDe")]`, so deserialization is controlled by
    `MacOsAutomationPermissionDe`. After we aligned v2
    `additionalPermissions.macos.automations` to the core shape, approval
    payloads started including `{ "bundle_ids": [...] }` in some paths.
    `MacOsAutomationPermissionDe` previously accepted only `"none" | "all"`
    or a plain array, so object-shaped bundle IDs failed with `data did not
    match any variant of untagged enum MacOsAutomationPermissionDe`. This
    change restores compatibility by accepting both forms while preserving
    existing normalization behavior (trim values and map empty bundle lists
    to `None`).
    
    ## Validation
    
    saw this error went away when running
    ```
    cargo run -p codex-app-server-test-client -- \
        --codex-bin ./target/debug/codex \
        -c 'approval_policy="on-request"' \
        -c 'features.shell_zsh_fork=true' \
        -c 'zsh_path="/tmp/codex-zsh-fork/package/vendor/aarch64-apple-darwin/zsh/macos-15/zsh"' \
        send-message-v2 --experimental-api \
        'Use $apple-notes and run scripts/notes_info now.'
    ```
    :
    ```
    Error: failed to deserialize ServerRequest from JSONRPCRequest
    
    Caused by:
        data did not match any variant of untagged enum MacOsAutomationPermissionDe
    ```
  • chore: remove unused legacy macOS permission types (#13677)
    ## Summary
    
    This PR removes legacy macOS permission model types from
    `codex-rs/protocol/src/models.rs`:
    
    - `MacOsPermissions`
    - `MacOsPreferencesValue`
    - `MacOsAutomationValue`
    
    The protocol now relies on the current `MacOsSeatbeltProfileExtensions`
    model for macOS permission data.
  • 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.
  • image-gen-core (#13290)
    Core tool-calling for image-gen, handles requesting and receiving logic
    for images using response API
  • chore: Nest skill and protocol network permissions under network.enabled (#13427)
    ## Summary
    
    Changes the permission profile shape from a bare network boolean to a
    nested object.
    
    Before:
    
    ```yaml
    permissions:
      network: true
    ```
    
    After:
    
    ```yaml
    permissions:
      network:
        enabled: true
    ```
    
    This also updates the shared Rust and app-server protocol types so
    `PermissionProfile.network` is no longer `Option<bool>`, but
    `Option<NetworkPermissions>` with `enabled: Option<bool>`.
    
    ## What Changed
    
    - Updated `PermissionProfile` in `codex-rs/protocol/src/models.rs`:
    - `pub network: Option<bool>` -> `pub network:
    Option<NetworkPermissions>`
    - Added `NetworkPermissions` with:
      - `pub enabled: Option<bool>`
    - Changed emptiness semantics so `network` is only considered empty when
    `enabled` is `None`
    - Updated skill metadata parsing to accept `permissions.network.enabled`
    - Updated core permission consumers to read
    `network.enabled.unwrap_or(false)` where a concrete boolean is needed
    - Updated app-server v2 protocol types and regenerated schema/TypeScript
    outputs
    - Updated docs to mention `additionalPermissions.network.enabled`
  • Add under-development original-resolution view_image support (#13050)
    ## Summary
    
    Add original-resolution support for `view_image` behind the
    under-development `view_image_original_resolution` feature flag.
    
    When the flag is enabled and the target model is `gpt-5.3-codex` or
    newer, `view_image` now preserves original PNG/JPEG/WebP bytes and sends
    `detail: "original"` to the Responses API instead of using the legacy
    resize/compress path.
    
    ## What changed
    
    - Added `view_image_original_resolution` as an under-development feature
    flag.
    - Added `ImageDetail` to the protocol models and support for serializing
    `detail: "original"` on tool-returned images.
    - Added `PromptImageMode::Original` to `codex-utils-image`.
      - Preserves original PNG/JPEG/WebP bytes.
      - Keeps legacy behavior for the resize path.
    - Updated `view_image` to:
    - use the shared `local_image_content_items_with_label_number(...)`
    helper in both code paths
      - select original-resolution mode only when:
        - the feature flag is enabled, and
        - the model slug parses as `gpt-5.3-codex` or newer
    - Kept local user image attachments on the existing resize path; this
    change is specific to `view_image`.
    - Updated history/image accounting so only `detail: "original"` images
    use the docs-based GPT-5 image cost calculation; legacy images still use
    the old fixed estimate.
    - Added JS REPL guidance, gated on the same feature flag, to prefer JPEG
    at 85% quality unless lossless is required, while still allowing other
    formats when explicitly requested.
    - Updated tests and helper code that construct
    `FunctionCallOutputContentItem::InputImage` to carry the new `detail`
    field.
    
    ## Behavior
    
    ### Feature off
    - `view_image` keeps the existing resize/re-encode behavior.
    - History estimation keeps the existing fixed-cost heuristic.
    
    ### Feature on + `gpt-5.3-codex+`
    - `view_image` sends original-resolution images with `detail:
    "original"`.
    - PNG/JPEG/WebP source bytes are preserved when possible.
    - History estimation uses the GPT-5 docs-based image-cost calculation
    for those `detail: "original"` images.
    
    
    #### [git stack](https://github.com/magus/git-stack-cli)
    - 👉 `1` https://github.com/openai/codex/pull/13050
    -  `2` https://github.com/openai/codex/pull/13331
    -  `3` https://github.com/openai/codex/pull/13049
  • Record realtime close marker on replacement (#13058)
    ## Summary
    - record a realtime close developer message when a new realtime session
    replaces an active one
    - assert the replacement marker through the mocked responses request
    path
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
    Co-authored-by: Charles Cunningham <ccunningham@openai.com>
  • fix: use AbsolutePathBuf for permission profile file roots (#12970)
    ## Why
    `PermissionProfile` should describe filesystem roots as absolute paths
    at the type level. Using `PathBuf` in `FileSystemPermissions` made the
    shared type too permissive and blurred together three different
    deserialization cases:
    
    - skill metadata in `agents/openai.yaml`, where relative paths should
    resolve against the skill directory
    - app-server API payloads, where callers should have to send absolute
    paths
    - local tool-call payloads for commands like `shell_command` and
    `exec_command`, where `additional_permissions.file_system` may
    legitimately be relative to the command `workdir`
    
    This change tightens the shared model without regressing the existing
    local command flow.
    
    ## What Changed
    - changed `protocol::models::FileSystemPermissions` and the app-server
    `AdditionalFileSystemPermissions` mirror to use `AbsolutePathBuf`
    - wrapped skill metadata deserialization in `AbsolutePathBufGuard`, so
    relative permission roots in `agents/openai.yaml` resolve against the
    containing skill directory
    - kept app-server/API deserialization strict, so relative
    `additionalPermissions.fileSystem.*` paths are rejected at the boundary
    - restored cwd/workdir-relative deserialization for local tool-call
    payloads by parsing `shell`, `shell_command`, and `exec_command`
    arguments under an `AbsolutePathBufGuard` rooted at the resolved command
    working directory
    - simplified runtime additional-permission normalization so it only
    canonicalizes and deduplicates absolute roots instead of trying to
    recover relative ones later
    - updated the app-server schema fixtures, `app-server/README.md`, and
    the affected transport/TUI tests to match the final behavior
  • 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: include sandbox config with escalation request (#12839)
    ## Why
    
    Before this change, an escalation approval could say that a command
    should be rerun, but it could not carry the sandbox configuration that
    should still apply when the escalated command is actually spawned.
    
    That left an unsafe gap in the `zsh-fork` skill path: skill scripts
    under `scripts/` that did not declare permissions could be escalated
    without a sandbox, and scripts that did declare permissions could lose
    their bounded sandbox on rerun or cached session approval.
    
    This PR extends the escalation protocol so approvals can optionally
    carry sandbox configuration all the way through execution. That lets the
    shell runtime preserve the intended sandbox instead of silently widening
    access.
    
    We likely want a single permissions type for this codepath eventually,
    probably centered on `Permissions`. For now, the protocol needs to
    represent both the existing `PermissionProfile` form and the fuller
    `Permissions` form, so this introduces a temporary disjoint union,
    `EscalationPermissions`, to carry either one.
    
    Further, this means that today, a skill either:
    
    - does not declare any permissions, in which case it is run using the
    default sandbox for the turn
    - specifies permissions, in which case the skill is run using that exact
    sandbox, which might be more restrictive than the default sandbox for
    the turn
    
    We will likely change the skill's permissions to be additive to the
    existing permissions for the turn.
    
    ## What Changed
    
    - Added `EscalationPermissions` to `codex-protocol` so escalation
    requests can carry either a `PermissionProfile` or a full `Permissions`
    payload.
    - Added an explicit `EscalationExecution` mode to the shell escalation
    protocol so reruns distinguish between `Unsandboxed`, `TurnDefault`, and
    `Permissions(...)` instead of overloading `None`.
    - Updated `zsh-fork` shell reruns to resolve `TurnDefault` at execution
    time, which keeps ordinary `UseDefault` commands on the turn sandbox and
    preserves turn-level macOS seatbelt profile extensions.
    - Updated the `zsh-fork` skill path so a skill with no declared
    permissions inherits the conversation's effective sandbox instead of
    escalating unsandboxed.
    - Updated the `zsh-fork` skill path so a skill with declared permissions
    reruns with exactly those permissions, including when a cached session
    approval is reused.
    
    ## Testing
    
    - Added unit coverage in
    `core/src/tools/runtimes/shell/unix_escalation.rs` for the explicit
    `UseDefault` / `RequireEscalated` / `WithAdditionalPermissions`
    execution mapping.
    - Added unit coverage in
    `core/src/tools/runtimes/shell/unix_escalation.rs` for macOS seatbelt
    extension preservation in both the `TurnDefault` and
    explicit-permissions rerun paths.
    - Added integration coverage in `core/tests/suite/skill_approval.rs` for
    permissionless skills inheriting the turn sandbox and explicit skill
    permissions remaining bounded across cached approval reuse.
  • chore: migrate additional permissions to PermissionProfile (#12731)
    This PR replaces the old `additional_permissions.fs_read/fs_write` shape
    with a shared `PermissionProfile`
    model and wires it through the command approval, sandboxing, protocol,
    and TUI layers. The schema is adopted from the
    `SkillManifestPermissions`, which is also refactored to use this unified
    struct. This helps us easily expose permission profiles in app
    server/core as a follow-up.
  • feat(core) Introduce Feature::RequestPermissions (#11871)
    ## Summary
    Introduces the initial implementation of Feature::RequestPermissions.
    RequestPermissions allows the model to request that a command be run
    inside the sandbox, with additional permissions, like writing to a
    specific folder. Eventually this will include other rules as well, and
    the ability to persist these permissions, but this PR is already quite
    large - let's get the core flow working and go from there!
    
    <img width="1279" height="541" alt="Screenshot 2026-02-15 at 2 26 22 PM"
    src="https://github.com/user-attachments/assets/0ee3ec0f-02ec-4509-91a2-809ac80be368"
    />
    
    ## Testing
    - [x] Added tests
    - [x] Tested locally
    - [x] Feature
  • 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`.
  • chore(core) rm Feature::RequestRule (#11866)
    ## Summary
    This feature is now reasonably stable, let's remove it so we can
    simplify our upcoming iterations here.
    
    ## Testing 
    - [x] Existing tests pass
  • fix(protocol): make local image test Bazel-friendly (#11799)
    Fixes Bazel build failure in //codex-rs/protocol:protocol-unit-tests.
    
    The test used include_bytes! to read a PNG from codex-core assets; Cargo
    can read it,
    but Bazel sandboxing can't, so the crate fails to compile.
    
    This change inlines a tiny valid PNG in the test to keep it hermetic.
    
    Related regression: #10590 (cc: @charley-oai)
  • tui: preserve remote image attachments across resume/backtrack (#10590)
    ## Summary
    This PR makes app-server-provided image URLs first-class attachments in
    TUI, so they survive resume/backtrack/history recall and are resubmitted
    correctly.
    
    <img width="715" height="491" alt="Screenshot 2026-02-12 at 8 27 08 PM"
    src="https://github.com/user-attachments/assets/226cbd35-8f0c-4e51-a13e-459ef5dd1927"
    />
    
    Can delete the attached image upon backtracking:
    <img width="716" height="301" alt="Screenshot 2026-02-12 at 8 27 31 PM"
    src="https://github.com/user-attachments/assets/4558d230-f1bd-4eed-a093-8e1ab9c6db27"
    />
    
    In both history and composer, remote images are rendered as normal
    `[Image #N]` placeholders, with numbering unified with local images.
    
    ## What changed
    - Plumb remote image URLs through TUI message state:
      - `UserHistoryCell`
      - `BacktrackSelection`
      - `ChatComposerHistory::HistoryEntry`
      - `ChatWidget::UserMessage`
    - Show remote images as placeholder rows inside the composer box (above
    textarea), and in history cells.
    - Support keyboard selection/deletion for remote image rows in composer
    (`Up`/`Down`, `Delete`/`Backspace`).
    - Preserve remote-image-only turns in local composer history (Up/Down
    recall), including restore after backtrack.
    - Ensure submit/queue/backtrack resubmit include remote images in model
    input (`UserInput::Image`), and keep request shape stable for
    remote-image-only turns.
    - Keep image numbering contiguous across remote + local images:
      - remote images occupy `[Image #1]..[Image #M]`
      - local images start at `[Image #M+1]`
      - deletion renumbers consistently.
    - In protocol conversion, increment shared image index for remote images
    too, so mixed remote/local image tags stay in a single sequence.
    - Simplify restore logic to trust in-memory attachment order (no
    placeholder-number parsing path).
    - Backtrack/replay rollback handling now queues trims through
    `AppEvent::ApplyThreadRollback` and syncs transcript overlay/deferred
    lines after trims, so overlay/transcript state stays consistent.
    - Trim trailing blank rendered lines from user history rendering to
    avoid oversized blank padding.
    
    ## Docs + tests
    - Updated: `docs/tui-chat-composer.md` (remote image flow,
    selection/deletion, numbering offsets)
    - Added/updated tests across `tui/src/chatwidget/tests.rs`,
    `tui/src/app.rs`, `tui/src/app_backtrack.rs`, `tui/src/history_cell.rs`,
    and `tui/src/bottom_pane/chat_composer.rs`
    - Added snapshot coverage for remote image composer states, including
    deleting the first of two remote images.
    
    ## Validation
    - `just fmt`
    - `cargo test -p codex-tui`
    
    ## Codex author
    `codex fork 019c2636-1571-74a1-8471-15a3b1c3f49d`
  • 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.
  • 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>
  • fix(core) switching model appends model instructions (#10651)
    ## Summary
    When switching models, we should append the instructions of the new
    model to the conversation as a developer message.
    
    ## Test
    - [x] Adds a unit test
  • 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
    }
    ```
  • fix(core) updated request_rule guidance (#10379)
    ## Summary
    Update guidance for request_rule
    
    ## Testing
    - [x] Unit tests pass
  • chore: add phase to message responseitem (#10455)
    ### What
    
    add wiring for `phase` field on `ResponseItem::Message` to lay
    groundwork for differentiating model preambles and final messages.
    currently optional.
    
    follows pattern in #9698.
    
    updated schemas with `just write-app-server-schema` so we can see type
    changes.
    
    ### Tests
    Updated existing tests for SSE parsing and hydrating from history
  • feat: replace custom mcp-types crate with equivalents from rmcp (#10349)
    We started working with MCP in Codex before
    https://crates.io/crates/rmcp was mature, so we had our own crate for
    MCP types that was generated from the MCP schema:
    
    
    https://github.com/openai/codex/blob/8b95d3e082376f4cb23e92641705a22afb28a9da/codex-rs/mcp-types/README.md
    
    Now that `rmcp` is more mature, it makes more sense to use their MCP
    types in Rust, as they handle details (like the `_meta` field) that our
    custom version ignored. Though one advantage that our custom types had
    is that our generated types implemented `JsonSchema` and `ts_rs::TS`,
    whereas the types in `rmcp` do not. As such, part of the work of this PR
    is leveraging the adapters between `rmcp` types and the serializable
    types that are API for us (app server and MCP) introduced in #10356.
    
    Note this PR results in a number of changes to
    `codex-rs/app-server-protocol/schema`, which merit special attention
    during review. We must ensure that these changes are still
    backwards-compatible, which is possible because we have:
    
    ```diff
    - export type CallToolResult = { content: Array<ContentBlock>, isError?: boolean, structuredContent?: JsonValue, };
    + export type CallToolResult = { content: Array<JsonValue>, structuredContent?: JsonValue, isError?: boolean, _meta?: JsonValue, };
    ```
    
    so `ContentBlock` has been replaced with the more general `JsonValue`.
    Note that `ContentBlock` was defined as:
    
    ```typescript
    export type ContentBlock = TextContent | ImageContent | AudioContent | ResourceLink | EmbeddedResource;
    ```
    
    so the deletion of those individual variants should not be a cause of
    great concern.
    
    Similarly, we have the following change in
    `codex-rs/app-server-protocol/schema/typescript/Tool.ts`:
    
    ```
    - export type Tool = { annotations?: ToolAnnotations, description?: string, inputSchema: ToolInputSchema, name: string, outputSchema?: ToolOutputSchema, title?: string, };
    + export type Tool = { name: string, title?: string, description?: string, inputSchema: JsonValue, outputSchema?: JsonValue, annotations?: JsonValue, icons?: Array<JsonValue>, _meta?: JsonValue, };
    ```
    
    so:
    
    - `annotations?: ToolAnnotations` ➡️ `JsonValue`
    - `inputSchema: ToolInputSchema` ➡️ `JsonValue`
    - `outputSchema?: ToolOutputSchema` ➡️ `JsonValue`
    
    and two new fields: `icons?: Array<JsonValue>, _meta?: JsonValue`
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/10349).
    * #10357
    * __->__ #10349
    * #10356
  • fix(rules) Limit rules listed in conversation (#10351)
    ## Summary
    We should probably warn users that they have a million rules, and help
    clean them up. But for now, we should handle this unbounded case.
    
    Limit rules listed in conversations, with shortest / broadest rules
    first.
    
    ## Testing
    - [x] Updated unit tests
  • add missing fields to WebSearchAction and update app-server types (#10276)
    - add `WebSearchAction` to app-server v2 types
    - add `queries` to `WebSearchAction::Search` type
    
    Updated tests.
  • [connectors] Support connectors part 2 - slash command and tui (#9728)
    - [x] Support `/apps` slash command to browse the apps in tui.
    - [x] Support inserting apps to prompt using `$`.
    - [x] Lots of simplification/renaming from connectors to apps.
  • feat(core) RequestRule (#9489)
    ## Summary
    Instead of trying to derive the prefix_rule for a command mechanically,
    let's let the model decide for us.
    
    ## Testing
    - [x] tested locally
  • fix: handle all web_search actions and in progress invocations (#9960)
    ### Summary
    - Parse all `web_search` tool actions (`search`, `find_in_page`,
    `open_page`).
    - Previously we only parsed + displayed `search`, which made the TUI
    appear to pause when the other actions were being used.
    - Show in progress `web_search` calls as `Searching the web`
      - Previously we only showed completed tool calls
    
    <img width="308" height="149" alt="image"
    src="https://github.com/user-attachments/assets/90a4e8ff-b06a-48ff-a282-b57b31121845"
    />
    
    ### Tests
    Added + updated tests, tested locally
    
    ### Follow ups
    Update VSCode extension to display these as well
  • change collaboration mode to struct (#9793)
    Shouldn't cause behavioral change
  • feat(core) update Personality on turn (#9644)
    ## Summary
    Support updating Personality mid-Thread via UserTurn/OverwriteTurn. This
    is explicitly unused by the clients so far, to simplify PRs - app-server
    and tui implementations will be follow-ups.
    
    ## Testing
    - [x] added integration tests
  • Support end_turn flag (#9698)
    Experimental flag that signals the end of the turn.
  • fix(core) Preserve base_instructions in SessionMeta (#9427)
    ## Summary
    This PR consolidates base_instructions onto SessionMeta /
    SessionConfiguration, so we ensure `base_instructions` is set once per
    session and should be (mostly) immutable, unless:
    - overridden by config on resume / fork
    - sub-agent tasks, like review or collab
    
    
    In a future PR, we should convert all references to `base_instructions`
    to consistently used the typed struct, so it's less likely that we put
    other strings there. See #9423. However, this PR is already quite
    complex, so I'm deferring that to a follow-up.
    
    ## Testing
    - [x] Added a resume test to assert that instructions are preserved. In
    particular, `resume_switches_models_preserves_base_instructions` fails
    against main.
    
    Existing test coverage thats assert base instructions are preserved
    across multiple requests in a session:
    - Manual compact keeps baseline instructions:
    core/tests/suite/compact.rs:199
    - Auto-compact keeps baseline instructions:
    core/tests/suite/compact.rs:1142
    - Prompt caching reuses the same instructions across two requests:
    core/tests/suite/prompt_caching.rs:150 and
    core/tests/suite/prompt_caching.rs:157
    - Prompt caching with explicit expected string across two requests:
    core/tests/suite/prompt_caching.rs:213 and
    core/tests/suite/prompt_caching.rs:222
    - Resume with model switch keeps original instructions:
    core/tests/suite/resume.rs:136
    - Compact/resume/fork uses request 0 instructions for later expected
    payloads: core/tests/suite/compact_resume_fork.rs:215
  • Add collaboration modes test prompts (#9443)
    # 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.
  • Add collaboration developer instructions (#9424)
    - Add additional instructions when they are available
    - Make sure to update them on change either UserInput or UserTurn
  • Add text element metadata to types (#9235)
    Initial type tweaking PR to make the diff of
    https://github.com/openai/codex/pull/9116 smaller
    
    This should not change any behavior, just adds some fields to types