Commit Graph

301 Commits

  • 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.
  • app-server: include experimental skill metadata in exec approval requests (#13929)
    ## Summary
    
    This change surfaces skill metadata on command approval requests so
    app-server clients can tell when an approval came from a skill script
    and identify the originating `SKILL.md`.
    
    - add `skill_metadata` to exec approval events in the shared protocol
    - thread skill metadata through core shell escalation and delegated
    approval handling for skill-triggered approvals
    - expose the field in app-server v2 as experimental `skillMetadata`
    - regenerate the JSON/TypeScript schemas and cover the new field in
    protocol, transport, core, and TUI tests
    
    ## Why
    
    Skill-triggered approvals already carry skill context inside core, but
    app-server clients could not see which skill caused the prompt. Sending
    the skill metadata with the approval request makes it possible for
    clients to present better approval UX and connect the prompt back to the
    relevant skill definition.
    
    
    ## example event in app-server-v2
    verified that we see this event when experimental api is on:
    ```
    < {
    <   "id": 11,
    <   "method": "item/commandExecution/requestApproval",
    <   "params": {
    <     "additionalPermissions": {
    <       "fileSystem": null,
    <       "macos": {
    <         "accessibility": false,
    <         "automations": {
    <           "bundle_ids": [
    <             "com.apple.Notes"
    <           ]
    <         },
    <         "calendar": false,
    <         "preferences": "read_only"
    <       },
    <       "network": null
    <     },
    <     "approvalId": "25d600ee-5a3c-4746-8d17-e2e61fb4c563",
    <     "availableDecisions": [
    <       "accept",
    <       "acceptForSession",
    <       "cancel"
    <     ],
    <     "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <     "commandActions": [
    <       {
    <         "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <         "type": "unknown"
    <       }
    <     ],
    <     "cwd": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes",
    <     "itemId": "call_jZp3xFpNg4D8iKAD49cvEvZy",
    <     "skillMetadata": {
    <       "pathToSkillsMd": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/SKILL.md"
    <     },
    <     "threadId": "019ccc10-b7d3-7ff2-84fe-3a75e7681e69",
    <     "turnId": "019ccc10-b848-76f1-81b3-4a1fa225493f"
    <   }
    < }`
    ```
    
    & verified that this is the event when experimental api is off:
    ```
    < {
    <   "id": 13,
    <   "method": "item/commandExecution/requestApproval",
    <   "params": {
    <     "approvalId": "5fbbf776-261b-4cf8-899b-c125b547f2c0",
    <     "availableDecisions": [
    <       "accept",
    <       "acceptForSession",
    <       "cancel"
    <     ],
    <     "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <     "commandActions": [
    <       {
    <         "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <         "type": "unknown"
    <       }
    <     ],
    <     "cwd": "/Users/celia/code/codex/codex-rs",
    <     "itemId": "call_OV2DHzTgYcbYtWaTTBWlocOt",
    <     "threadId": "019ccc16-2a2b-7be1-8500-e00d45b892d4",
    <     "turnId": "019ccc16-2a8e-7961-98ec-649600e7d06a"
    <   }
    < }
    ```
  • Add in-process app server and wire up exec to use it (#14005)
    This is a subset of PR #13636. See that PR for a full overview of the
    architectural change.
    
    This PR implements the in-process app server and modifies the
    non-interactive "exec" entry point to use the app server.
    
    ---------
    
    Co-authored-by: Felipe Coury <felipe.coury@gmail.com>
  • [app-server] Support hot-reload user config when batch writing config. (#13839)
    - [x] Support hot-reload user config when batch writing config.
  • 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>
  • app-server: require absolute cwd for windowsSandbox/setupStart (#13833)
    ## Summary
    - require windowsSandbox/setupStart.cwd to be an AbsolutePathBuf
    - reject relative cwd values at request parsing instead of normalizing
    them later in the setup flow
    - add RPC-layer coverage for relative cwd rejection and update the
    checked-in protocol schemas/docs
    
    ## Why
    windowsSandbox/setupStart was carrying the client-provided cwd as a raw
    PathBuf for command_cwd while config derivation normalized the same
    value into an absolute policy_cwd.
    
    That left room for relative-path ambiguity in the setup path, especially
    for inputs like cwd: "repo". Making the RPC accept only absolute paths
    removes that split entirely: the handler now receives one
    already-validated absolute path and uses it for both config derivation
    and setup.
    
    This keeps the trust model unchanged. Trusted clients could already
    choose the session cwd; this change is only about making the setup RPC
    reject relative paths so command_cwd and policy_cwd cannot diverge.
    
    ## Testing
    - cargo test -p codex-app-server windows_sandbox_setup (run locally by
    user)
    - cargo test -p codex-app-server-protocol windows_sandbox (run locally
    by user)
  • 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
  • app-server: Add streaming and tty/pty capabilities to command/exec (#13640)
    * Add an ability to stream stdin, stdout, and stderr
    * Streaming of stdout and stderr has a configurable cap for total amount
    of transmitted bytes (with an ability to disable it)
    * Add support for overriding environment variables
    * Add an ability to terminate running applications (using
    `command/exec/terminate`)
    * Add TTY/PTY support, with an ability to resize the terminal (using
    `command/exec/resize`)
  • Allow full web search tool config (#13675)
    Previously, we could only configure whether web search was on/off.
    
    This PR enables sending along a web search config, which includes all
    the stuff responsesapi supports: filters, location, etc.
  • feat: Add curated plugin marketplace + Metadata Cleanup. (#13712)
    1. Add a synced curated plugin marketplace and include it in marketplace
    discovery.
    2. Expose optional plugin.json interface metadata in plugin/list
    3. Tighten plugin and marketplace path handling using validated absolute
    paths.
    4. Let manifests override skill, MCP, and app config paths.
    5. Restrict plugin enablement/config loading to the user config layer so
    plugin enablement is at global level
  • feat: structured plugin parsing (#13711)
    #### What
    
    Add structured `@plugin` parsing and TUI support for plugin mentions.
    
    - Core: switch from plain-text `@display_name` parsing to structured
    `plugin://...` mentions via `UserInput::Mention` and
    `[$...](plugin://...)` links in text, same pattern as apps/skills.
    - TUI: add plugin mention popup, autocomplete, and chips when typing
    `$`. Load plugin capability summaries and feed them into the composer;
    plugin mentions appear alongside skills and apps.
    - Generalize mention parsing to a sigil parameter, still defaults to `$`
    
    <img width="797" height="119" alt="image"
    src="https://github.com/user-attachments/assets/f0fe2658-d908-4927-9139-73f850805ceb"
    />
    
    Builds on #13510. Currently clients have to build their own `id` via
    `plugin@marketplace` and filter plugins to show by `enabled`, but we
    will add `id` and `available` as fields returned from `plugin/list`
    soon.
    
    ####Tests
    
    Added tests, verified locally.
  • [elicitations] Switch to use MCP style elicitation payload for mcp tool approvals. (#13621)
    - [x] Switch to use MCP style elicitation payload for mcp tool
    approvals.
    - [ ] TODO: Update the UI to support the full spec.
  • Enabling CWD Saving for Image-Gen (#13607)
    Codex now saves the generated image on to your current working
    directory.
  • check app auth in plugin/install (#13685)
    #### What
    on `plugin/install`, check if installed apps are already authed on
    chatgpt, and return list of all apps that are not. clients can use this
    list to trigger auth workflows as needed.
    
    checks are best effort based on `codex_apps` loading, much like
    `app/list`.
    
    #### Tests
    Added integration tests, tested locally.
  • refactor: remove proxy admin endpoint (#13687)
    ## Summary
    - delete the network proxy admin server and its runtime listener/task
    plumbing
    - remove the admin endpoint config, runtime, requirement, protocol,
    schema, and debug-surface fields
    - update proxy docs to reflect the remaining HTTP and SOCKS listeners
    only
  • 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
    ```
  • support plugin/list. (#13540)
    Introduce a plugin/list which reads from local marketplace.json.
    Also update the signature for plugin/install.
  • core/protocol: add structured macOS additional permissions and merge them into sandbox execution (#13499)
    ## Summary
    - Introduce strongly-typed macOS additional permissions across
    protocol/core/app-server boundaries.
    - Merge additional permissions into effective sandbox execution,
    including macOS seatbelt profile extensions.
    - Expand docs, schema/tool definitions, UI rendering, and tests for
    `network`, `file_system`, and `macos` additional permissions.
  • add @plugin mentions (#13510)
    ## Note-- added plugin mentions via @, but that conflicts with file
    mentions
    
    depends and builds upon #13433.
    
    - introduces explicit `@plugin` mentions. this injects the plugin's mcp
    servers, app names, and skill name format into turn context as a dev
    message.
    - we do not yet have UI for these mentions, so we currently parse raw
    text (as opposed to skills and apps which have UI chips, autocomplete,
    etc.) this depends on a `plugins/list` app-server endpoint we can feed
    the UI with, which is upcoming
    - also annotate mcp and app tool descriptions with the plugin(s) they
    come from. this gives the model a first class way of understanding what
    tools come from which plugins, which will help implicit invocation.
    
    ### Tests
    Added and updated tests, unit and integration. Also confirmed locally a
    raw `@plugin` injects the dev message, and the model knows about its
    apps, mcps, and skills.
  • feat(app-server): support mcp elicitations in v2 api (#13425)
    This adds a first-class server request for MCP server elicitations:
    `mcpServer/elicitation/request`.
    
    Until now, MCP elicitation requests only showed up as a raw
    `codex/event/elicitation_request` event from core. That made it hard for
    v2 clients to handle elicitations using the same request/response flow
    as other server-driven interactions (like shell and `apply_patch`
    tools).
    
    This also updates the underlying MCP elicitation request handling in
    core to pass through the full MCP request (including URL and form data)
    so we can expose it properly in app-server.
    
    ### Why not `item/mcpToolCall/elicitationRequest`?
    This is because MCP elicitations are related to MCP servers first, and
    only optionally to a specific MCP tool call.
    
    In the MCP protocol, elicitation is a server-to-client capability: the
    server sends `elicitation/create`, and the client replies with an
    elicitation result. RMCP models it that way as well.
    
    In practice an elicitation is often triggered by an MCP tool call, but
    not always.
    
    ### What changed
    - add `mcpServer/elicitation/request` to the v2 app-server API
    - translate core `codex/event/elicitation_request` events into the new
    v2 server request
    - map client responses back into `Op::ResolveElicitation` so the MCP
    server can continue
    - update app-server docs and generated protocol schema
    - add an end-to-end app-server test that covers the full round trip
    through a real RMCP elicitation flow
    - The new test exercises a realistic case where an MCP tool call
    triggers an elicitation, the app-server emits
    mcpServer/elicitation/request, the client accepts it, and the tool call
    resumes and completes successfully.
    
    ### app-server API flow
    - Client starts a thread with `thread/start`.
    - Client starts a turn with `turn/start`.
    - App-server sends `item/started` for the `mcpToolCall`.
    - While that tool call is in progress, app-server sends
    `mcpServer/elicitation/request`.
    - Client responds to that request with `{ action: "accept" | "decline" |
    "cancel" }`.
    - App-server sends `serverRequest/resolved`.
    - App-server sends `item/completed` for the mcpToolCall.
    - App-server sends `turn/completed`.
    - If the turn is interrupted while the elicitation is pending,
    app-server still sends `serverRequest/resolved` before the turn
    finishes.
  • image-gen-event/client_processing (#13512)
    enabling client-side to process with image-generation capabilities
    (setting app-server)
  • plugin: support local-based marketplace.json + install endpoint. (#13422)
    Support marketplace.json that points to a local file, with
    ```
        "source":
        {
            "source": "local",
            "path": "./plugin-1"
        },
     ```
     
     Add a new plugin/install endpoint which add the plugin to the cache folder and enable it in config.toml.
  • feat(app-server-test-client): OTEL setup for tracing (#13493)
    ### Overview
    This PR:
    - Updates `app-server-test-client` to load OTEL settings from
    `$CODEX_HOME/config.toml` and initializes its own OTEL provider.
    - Add real client root spans to app-server test client traces.
    
    This updates `codex-app-server-test-client` so its Datadog traces
    reflect the full client-driven flow instead of a set of server spans
    stitched together under a synthetic parent.
    
    Before this change, the test client generated a fake `traceparent` once
    and reused it for every JSON-RPC request. That kept the requests in one
    trace, but there was no real client span at the top, so Datadog ended up
    showing the sequence in a slightly misleading way, where all RPCs were
    anchored under `initialize`.
    
    Now the test client:
    - loads OTEL settings from the normal Codex config path, including
    `$CODEX_HOME/config.toml` and existing --config overrides
    - initializes tracing the same way other Codex binaries do when trace
    export is enabled
    - creates a real client root span for each scripted command
    - creates per-request client spans for JSON-RPC methods like
    `initialize`, `thread/start`, and `turn/start`
    - injects W3C trace context from the current client span into
    request.trace instead of reusing a fabricated carrier
    
    This gives us a cleaner trace shape in Datadog:
    - one trace URL for the whole scripted flow
    - a visible client root span
    - proper client/server parent-child relationships for each app-server
    request
  • allow apps to specify cwd for sandbox setup. (#13484)
    The electron app doesn't start up the app-server in a particular
    workspace directory.
    So sandbox setup happens in the app-installed directory instead of the
    project workspace.
    
    This allows the app do specify the workspace cwd so that the sandbox
    setup actually sets up the ACLs instead of exiting fast and then having
    the first shell command be slow.
  • 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`
  • 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: Preserve network access on read-only sandbox policies (#13409)
    ## Summary
    
    `PermissionProfile.network` could not be preserved when additional or
    compiled permissions resolved to
    `SandboxPolicy::ReadOnly`, because `ReadOnly` had no network_access
    field. This change makes read-only + network
    enabled representable directly and threads that through the protocol,
    app-server v2 mirror, and permission-
      merging logic.
    
    ## What changed
    
    - Added `network_access: bool` to `SandboxPolicy::ReadOnly` in the core
    protocol and app-server v2 protocol.
    - Kept backward compatibility by defaulting the new field to false, so
    legacy read-only payloads still
        deserialize unchanged.
    - Updated `has_full_network_access()` and sandbox summaries to respect
    read-only network access.
      - Preserved PermissionProfile.network when:
          - compiling skill permission profiles into sandbox policies
          - normalizing additional permissions
          - merging additional permissions into existing sandbox policies
    - Updated the approval overlay to show network in the rendered
    permission rule when requested.
      - Regenerated app-server schema fixtures for the new v2 wire shape.
  • feat(app-server): add a skills/changed v2 notification (#13414)
    This adds a first-class app-server v2 `skills/changed` notification for
    the existing skills live-reload signal.
    
    Before this change, clients only had the legacy raw
    `codex/event/skills_update_available` event. With this PR, v2 clients
    can listen for a typed JSON-RPC notification instead of depending on the
    legacy `codex/event/*` stream, which we want to remove soon.
  • 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
  • Add thread metadata update endpoint to app server (#13280)
    ## Summary
    - add the v2 `thread/metadata/update` API, including
    protocol/schema/TypeScript exports and app-server docs
    - patch stored thread `gitInfo` in sqlite without resuming the thread,
    with validation plus support for explicit `null` clears
    - repair missing sqlite thread rows from rollout data before patching,
    and make those repairs safe by inserting only when absent and updating
    only git columns so newer metadata is not clobbered
    - keep sqlite authoritative for mutable thread git metadata by
    preserving existing sqlite git fields during reconcile/backfill and only
    using rollout `SessionMeta` git fields to fill gaps
    - add regression coverage for the endpoint, repair paths, concurrent
    sqlite writes, clearing git fields, and rollout/backfill reconciliation
    - fix the login server shutdown race so cancelling before the waiter
    starts still terminates `block_until_done()` correctly
    
    ## Testing
    - `cargo test -p codex-state
    apply_rollout_items_preserves_existing_git_branch_and_fills_missing_git_fields`
    - `cargo test -p codex-state
    update_thread_git_info_preserves_newer_non_git_metadata`
    - `cargo test -p codex-core
    backfill_sessions_preserves_existing_git_branch_and_fills_missing_git_fields`
    - `cargo test -p codex-app-server thread_metadata_update`
    - `cargo test`
    - currently fails in existing `codex-core` grep-files tests with
    `unsupported call: grep_files`:
        - `suite::grep_files::grep_files_tool_collects_matches`
        - `suite::grep_files::grep_files_tool_reports_empty_results`
  • chore(app-server): restore EventMsg TS types (#13397)
    Realized EventMsg generated types were unintentionally removed as part
    of this PR: https://github.com/openai/codex/pull/13375
    
    Turns out our TypeScript export pipeline relied on transitively reaching
    `EventMsg`. We should still export `EventMsg` explicitly since we're
    still emitting `codex/event/*` events (for now, but getting dropped soon
    as well).
  • chore(app-server): delete v1 RPC methods and notifications (#13375)
    ## Summary
    This removes the old app-server v1 methods and notifications we no
    longer need, while keeping the small set the main codex app client still
    depends on for now.
    
    The remaining legacy surface is:
    - `initialize`
    - `getConversationSummary`
    - `getAuthStatus`
    - `gitDiffToRemote`
    - `fuzzyFileSearch`
    - `fuzzyFileSearch/sessionStart`
    - `fuzzyFileSearch/sessionUpdate`
    - `fuzzyFileSearch/sessionStop`
    
    And the raw `codex/event/*` notifications emitted from core. These
    notifications will be removed in a followup PR.
    
    ## What changed
    - removed deprecated v1 request variants from the protocol and
    app-server dispatcher
    - removed deprecated typed notifications: `authStatusChange`,
    `loginChatGptComplete`, and `sessionConfigured`
    - updated the app-server test client to use v2 flows instead of deleted
    v1 flows
    - deleted legacy-only app-server test suites and added focused coverage
    for `getConversationSummary`
    - regenerated app-server schema fixtures and updated the MCP interface
    docs to match the remaining compatibility surface
    
    ## Testing
    - `just write-app-server-schema`
    - `cargo test -p codex-app-server-protocol`
    - `cargo test -p codex-app-server`
  • fix (#13389)
    # 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.
  • app-server-protocol: export flat v2 schema bundle (#13324)
    ## Summary
    - add an `--experimental` flag to the export binary and thread the
    option through TypeScript and JSON schema generation
    - flatten the v2 schema bundle into a datamodel-code-generator-friendly
    `codex_app_server_protocol.v2.schemas.json` export
    - retarget shared helper refs to namespaced v2 definitions, add coverage
    for the new export behavior, and vendor the generated schema fixtures
    
    ## Validation
    - `cargo test -p codex-app-server-protocol` (71 unit tests and bin
    targets passed locally; the final schema fixture integration target was
    revalidated via fresh schema regeneration and a tree diff)
    - `./target/debug/write_schema_fixtures --schema-root <tmpdir>`
    - `diff -rq app-server-protocol/schema <tmpdir>`
    
    ## Tickets
    - None
  • app-server service tier plumbing (plus some cleanup) (#13334)
    followup to https://github.com/openai/codex/pull/13212 to expose fast
    tier controls to app server
    (majority of this PR is generated schema jsons - actual code is +69 /
    -35 and +24 tests )
    
    - add service tier fields to the app-server protocol surfaces used by
    thread lifecycle, turn start, config, and session configured events
    - thread service tier through the app-server message processor and core
    thread config snapshots
    - allow runtime config overrides to carry service tier for app-server
    callers
    
    cleanup:
    - Removing useless "legacy" code supporting "standard" - we moved to
    None | "fast", so "standard" is not needed.
  • Update realtime websocket API (#13265)
    - migrate the realtime websocket transport to the new session and
    handoff flow
    - make the realtime model configurable in config.toml and use API-key
    auth for the websocket
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • feat(app-server): add tracing to all app-server APIs (#13285)
    ### Overview
    This PR adds the first piece of tracing for app-server JSON-RPC
    requests.
    
    There are two main changes:
    - JSON-RPC requests can now take an optional W3C trace context at the
    top level via a `trace` field (`traceparent` / `tracestate`).
    - app-server now creates a dedicated request span for every inbound
    JSON-RPC request in `MessageProcessor`, and uses the request-level trace
    context as the parent when present.
    
    For compatibility with existing flows, app-server still falls back to
    the TRACEPARENT env var when there is no request-level traceparent.
    
    This PR is intentionally scoped to the app-server boundary. In a
    followup, we'll actually propagate trace context through the async
    handoff into core execution spans like run_turn, which will make
    app-server traces much more useful.
    
    ### Spans
    A few details on the app-server span shape:
    - each inbound request gets its own server span
    - span/resource names are based on the JSON-RPC method (`initialize`,
    `thread/start`, `turn/start`, etc.)
    - spans record transport (stdio vs websocket), request id, connection
    id, and client name/version when available
    - `initialize` stores client metadata in session state so later requests
    on the same connection can reuse it
  • [codex] include plan type in account updates (#13181)
    This change fixes a Codex app account-state sync bug where clients could
    know the user was signed in but still miss the ChatGPT subscription
    tier, which could lead to incorrect upgrade messaging for paid users.
    
    The root cause was that `account/updated` only carried `authMode` while
    plan information was available separately via `account/read` and
    rate-limit snapshots, so this update adds `planType` to
    `account/updated`, populates it consistently across login and refresh
    paths.
  • app-server: Add ephemeral field to Thread object (#13084)
    Currently there is no alternative way to know that thread is ephemeral,
    only client which did create it has the knowledge.
  • app-server: Replay pending item requests on thread/resume (#12560)
    Replay pending client requests after `thread/resume` and emit resolved
    notifications when those requests clear so approval/input UI state stays
    in sync after reconnects and across subscribed clients.
    
    Affected RPCs:
    - `item/commandExecution/requestApproval`
    - `item/fileChange/requestApproval`
    - `item/tool/requestUserInput`
    
    Motivation:
    - Resumed clients need to see pending approval/input requests that were
    already outstanding before the reconnect.
    - Clients also need an explicit signal when a pending request resolves
    or is cleared so stale UI can be removed on turn start, completion, or
    interruption.
    
    Implementation notes:
    - Use pending client requests from `OutgoingMessageSender` in order to
    replay them after `thread/resume` attaches the connection, using
    original request ids.
    - Emit `serverRequest/resolved` when pending requests are answered
    or cleared by lifecycle cleanup.
    - Update the app-server protocol schema, generated TypeScript bindings,
    and README docs for the replay/resolution flow.
    
    High-level test plan:
    - Added automated coverage for replaying pending command execution and
    file change approval requests on `thread/resume`.
    - Added automated coverage for resolved notifications in command
    approval, file change approval, request_user_input, turn start, and turn
    interrupt flows.
    - Verified schema/docs updates in the relevant protocol and app-server
    tests.
    
    Manual testing:
    - Tested reconnect/resume with multiple connections.
    - Confirmed state stayed in sync between connections.
  • 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
  • Add model availability NUX metadata (#12972)
    - replace show_nux with structured availability_nux model metadata
    - expose availability NUX data through the app-server model API
    - update shared fixtures and tests for the new field
  • Support multimodal custom tool outputs (#12948)
    ## Summary
    
    This changes `custom_tool_call_output` to use the same output payload
    shape as `function_call_output`, so freeform tools can return either
    plain text or structured content items.
    
    The main goal is to let `js_repl` return image content from nested
    `view_image` calls in its own `custom_tool_call_output`, instead of
    relying on a separate injected message.
    
    ## What changed
    
    - Changed `custom_tool_call_output.output` from `string` to
    `FunctionCallOutputPayload`
    - Updated freeform tool plumbing to preserve structured output bodies
    - Updated `js_repl` to aggregate nested tool content items and attach
    them to the outer `js_repl` result
    - Removed the old `js_repl` special case that injected `view_image`
    results as a separate pending user image message
    - Updated normalization/history/truncation paths to handle multimodal
    `custom_tool_call_output`
    - Regenerated app-server protocol schema artifacts
    
    ## Behavior
    
    Direct `view_image` calls still return a `function_call_output` with
    image content.
    
    When `view_image` is called inside `js_repl`, the outer `js_repl`
    `custom_tool_call_output` now carries:
    - an `input_text` item if the JS produced text output
    - one or more `input_image` items from nested tool results
    
    So the nested image result now stays inside the `js_repl` tool output
    instead of being injected as a separate message.
    
    ## Compatibility
    
    This is intended to be backward-compatible for resumed conversations.
    
    Older histories that stored `custom_tool_call_output.output` as a plain
    string still deserialize correctly, and older histories that used the
    previous injected-image-message flow also continue to resume.
    
    Added regression coverage for resuming a pre-change rollout containing:
    - string-valued `custom_tool_call_output`
    - legacy injected image message history
    
    
    #### [git stack](https://github.com/magus/git-stack-cli)
    - 👉 `1` https://github.com/openai/codex/pull/12948
  • Feat: cxa-1833 update model/list (#12958)
    ### Summary
    Update `model/list` in app server to include more upgrade information.
  • Enforce user input length cap (#12823)
    Currently there is no bound on the length of a user message submitted in
    the TUI or through the app server interface. That means users can paste
    many megabytes of text, which can lead to bad performance, hangs, and
    crashes. In extreme cases, it can lead to a [kernel
    panic](https://github.com/openai/codex/issues/12323).
    
    This PR limits the length of a user input to 2**20 (about 1M)
    characters. This value was chosen because it fills the entire context
    window on the latest models, so accepting longer inputs wouldn't make
    sense anyway.
    
    Summary
    - add a shared `MAX_USER_INPUT_TEXT_CHARS` constant in codex-protocol
    and surface it in TUI and app server code
    - block oversized submissions in the TUI submit flow and emit error
    history cells when validation fails
    - reject heavy app-server requests with JSON-RPC `-32602` and structured
    `input_too_large` data, plus document the behavior
    
    Testing
    - ran the IDE extension with this change and verified that when I
    attempt to paste a user message that's several MB long, it correctly
    reports an error instead of crashing or making my computer hot.
  • feat: include available decisions in command approval requests (#12758)
    Command-approval clients currently infer which choices to show from
    side-channel fields like `networkApprovalContext`,
    `proposedExecpolicyAmendment`, and `additionalPermissions`. That makes
    the request shape harder to evolve, and it forces each client to
    replicate the server's heuristics instead of receiving the exact
    decision list for the prompt.
    
    This PR introduces a mapping between `CommandExecutionApprovalDecision`
    and `codex_protocol::protocol::ReviewDecision`:
    
    ```rust
    impl From<CoreReviewDecision> for CommandExecutionApprovalDecision {
        fn from(value: CoreReviewDecision) -> Self {
            match value {
                CoreReviewDecision::Approved => Self::Accept,
                CoreReviewDecision::ApprovedExecpolicyAmendment {
                    proposed_execpolicy_amendment,
                } => Self::AcceptWithExecpolicyAmendment {
                    execpolicy_amendment: proposed_execpolicy_amendment.into(),
                },
                CoreReviewDecision::ApprovedForSession => Self::AcceptForSession,
                CoreReviewDecision::NetworkPolicyAmendment {
                    network_policy_amendment,
                } => Self::ApplyNetworkPolicyAmendment {
                    network_policy_amendment: network_policy_amendment.into(),
                },
                CoreReviewDecision::Abort => Self::Cancel,
                CoreReviewDecision::Denied => Self::Decline,
            }
        }
    }
    ```
    
    And updates `CommandExecutionRequestApprovalParams` to have a new field:
    
    ```rust
    available_decisions: Option<Vec<CommandExecutionApprovalDecision>>
    ```
    
    when, if specified, should make it easier for clients to display an
    appropriate list of options in the UI.
    
    This makes it possible for `CoreShellActionProvider::prompt()` in
    `unix_escalation.rs` to specify the `Vec<ReviewDecision>` directly,
    adding support for `ApprovedForSession` when approving a skill script,
    which was previously missing in the TUI.
    
    Note this results in a significant change to `exec_options()` in
    `approval_overlay.rs`, as the displayed options are now derived from
    `available_decisions: &[ReviewDecision]`.
    
    ## What Changed
    
    - Add `available_decisions` to
    [`ExecApprovalRequestEvent`](https://github.com/openai/codex/blob/de00e932dd9801de0a4faac0519162099753f331/codex-rs/protocol/src/approvals.rs#L111-L175),
    including helpers to derive the legacy default choices when older
    senders omit the field.
    - Map `codex_protocol::protocol::ReviewDecision` to app-server
    `CommandExecutionApprovalDecision` and expose the ordered list as
    experimental `availableDecisions` in
    [`CommandExecutionRequestApprovalParams`](https://github.com/openai/codex/blob/de00e932dd9801de0a4faac0519162099753f331/codex-rs/app-server-protocol/src/protocol/v2.rs#L3798-L3807).
    - Thread optional `available_decisions` through the core approval path
    so Unix shell escalation can explicitly request `ApprovedForSession` for
    session-scoped approvals instead of relying on client heuristics.
    [`unix_escalation.rs`](https://github.com/openai/codex/blob/de00e932dd9801de0a4faac0519162099753f331/codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs#L194-L214)
    - Update the TUI approval overlay to build its buttons from the ordered
    decision list, while preserving the legacy fallback when
    `available_decisions` is missing.
    - Update the app-server README, test client output, and generated schema
    artifacts to document and surface the new field.
    
    ## Testing
    
    - Add `approval_overlay.rs` coverage for explicit decision lists,
    including the generic `ApprovedForSession` path and network approval
    options.
    - Update `chatwidget/tests.rs` and app-server protocol tests to populate
    the new optional field and keep older event shapes working.
    
    ## Developers Docs
    
    - If we document `item/commandExecution/requestApproval` on
    [developers.openai.com/codex](https://developers.openai.com/codex), add
    experimental `availableDecisions` as the preferred source of approval
    choices and note that older servers may omit it.
  • Revert "Add skill approval event/response (#12633)" (#12811)
    This reverts commit https://github.com/openai/codex/pull/12633. We no
    longer need this PR, because we favor sending normal exec command
    approval server request with `additional_permissions` of skill
    permissions instead
  • Enable request_user_input in Default mode (#12735)
    ## Summary
    - allow `request_user_input` in Default collaboration mode as well as
    Plan
    - update the Default-mode instructions to prefer assumptions first and
    use `request_user_input` only when a question is unavoidable
    - update request_user_input and app-server tests to match the new
    Default-mode behavior
    - refactor collaboration-mode availability plumbing into
    `CollaborationModesConfig` for future mode-related flags
    
    ## Codex author
    `codex resume 019c9124-ed28-7c13-96c6-b916b1c97d49`