32 Commits

  • [codex] Add managed new-thread model settings (#29683)
    ## Why
    
    Admins need persistent defaults for the model, reasoning effort, and
    service tier shown when the Desktop App creates a new thread. These are
    initialization defaults rather than runtime constraints: the App should
    use them to initialize its draft while still allowing a user to make an
    explicit selection.
    
    The app-server therefore needs to expose the managed values before
    thread creation without changing `thread/start` behavior for other
    clients.
    
    ## What changed
    
    - Parse `model`, `model_reasoning_effort`, and `service_tier` from
    `[models.new_thread]` in `requirements.toml`.
    - Compose the `models` requirements through the existing
    requirements-layer precedence rules.
    - Expose the resolved values through `configRequirements/read` as
    `requirements.models.newThread`.
    - Add the corresponding app-server protocol types and regenerate the
    JSON and TypeScript schema fixtures.
    - Document the new `configRequirements/read` fields in the app-server
    README.
    
    ## Scope
    
    This PR is data plumbing only. It does not apply these values during
    `thread/start` and does not change thread creation for existing
    app-server clients, resumed or forked sessions, internal or subagent
    sessions, `codex exec`, or the TUI. A companion Desktop App change owns
    draft initialization, sends the effective settings for ordinary and
    prewarmed starts, and preserves explicit user changes.
    
    ## Validation
    
    - Requirements deserialization coverage for `[models.new_thread]`
    - Requirements-layer precedence coverage
    - App-server API mapping coverage
    - `configRequirements/read` integration coverage
    - Regenerated app-server JSON and TypeScript schema fixtures
  • [ez][codex-rs] Support apps._default.default_tools_approval_mode (#27965)
    [from codex]
    
    ## Summary
    
    - add `default_tools_approval_mode` to `[apps._default]` and expose it
    through app-server v2 `config/read`
    - apply it after managed, per-tool, and per-app approval settings,
    before the built-in `auto` fallback
    - document the precedence, regenerate config/app-server schemas, and add
    unit plus end-to-end approval coverage
    
    ## Configuration
    
    ```toml
    [apps._default]
    default_tools_approval_mode = "prompt"
    ```
    
    The effective precedence is managed requirements, tool-specific
    `approval_mode`, app-specific `default_tools_approval_mode`,
    `apps._default.default_tools_approval_mode`, then `auto`.
    
    ## Test plan
    
    - `just write-config-schema`
    - `just write-app-server-schema`
    - `just write-app-server-schema --experimental`
    - `just test -p codex-core app_tool_policy`
    - `just test -p codex-core mcp_turn_metadata`
    - `just test -p codex-config`
    - `just test -p codex-app-server-protocol`
    - `just test -p codex-app-server config_read_includes_apps`
    - `just fix -p codex-config -p codex-core -p codex-app-server-protocol
    -p codex-app-server`
    - `just fmt`
  • feat(app-server): enforce managed remote control disable (#27961)
    ## Why
    
    Managed deployments need a reliable deny gate for remote control.
    Persisted enablement and explicit startup requests currently remain able
    to start the transport, while the removed `features.remote_control` key
    is intentionally only a compatibility no-op.
    
    This adds a dedicated requirement that administrators can use to force
    remote control off without deleting the user's persisted preference.
    Removing the requirement and restarting restores the prior choice.
    
    ## What Changed
    
    - Added top-level `allow_remote_control` requirements parsing, sourced
    layer precedence, debug output, and `configRequirements/read` exposure
    as `allowRemoteControl`.
    - Added a typed transport policy captured from the startup requirements
    snapshot. Managed disable forces the initial state to disabled and
    prevents enrollment, refresh, connection, and persisted-preference
    mutation.
    - Rejected every `remoteControl/*` RPC before parameter deserialization
    with JSON-RPC `-32600` and `remote control is disabled by managed
    requirements`.
    - Preserved the existing disabled status notification and the previous
    behavior when the requirement is `true` or omitted.
    - Regenerated app-server protocol schemas and documented the new
    requirement.
    
    ## Verification
    
    - Confirmed all remote-control RPCs, including a malformed request,
    return the managed-policy error while the initial status notification
    remains `disabled`.
    - Confirmed explicit ephemeral startup and persisted enablement make no
    backend connection and leave the SQLite preference unchanged.
    - Confirmed `allow_remote_control = true` does not enable or block
    remote control and `configRequirements/read` returns
    `allowRemoteControl: false` for the deny policy.
    
    Related issue: N/A (managed-policy hardening).
  • [ez][codex-rs] Support approvals reviewer in app defaults (#27075)
    [from codex]
    
    ## Summary
    
    - add `approvals_reviewer` support to `[apps._default]`
    - resolve connected-app reviewers in per-app, app-default, then global
    order
    - expose the setting through the v2 config API and regenerate schema
    fixtures
    
    ## Context
    
    PR #25167 added `apps.<connector_id>.approvals_reviewer`, but the shared
    app defaults table could not specify the reviewer. This extends the same
    behavior to `[apps._default]` while preserving per-app overrides.
    
    Managed `allowed_approvals_reviewers` requirements still constrain both
    default and per-app values. A disallowed app value falls back to the
    global reviewer, and non-app MCP servers continue using the global
    reviewer.
    
    ## Testing
    
    - `just write-config-schema`
    - `just write-app-server-schema`
    - `just fmt`
    - `just test -p codex-config`
    - `just test -p codex-core app_approvals_reviewer`
    - `just test -p codex-app-server-protocol`
    - `just test -p codex-app-server config_read_includes_apps`
  • [app-server][core] Add connector-level Guardian reviewer overrides (#25167)
    Context: https://openai.slack.com/archives/C0B4JAF0Q2C/p1779912328647229
    
    ```
    approvals_reviewer = "auto_review"
    
    [apps.connector_5f3c8c41a1e54ad7a76272c89e2554fa]
    enabled = true
    approvals_reviewer = "user"
    default_tools_approval_mode = "prompt"
    ```
    
    <img width="230" height="84" alt="Screenshot 2026-05-31 at 11 56 34 AM"
    src="https://github.com/user-attachments/assets/e319f8f7-0983-42a7-98cd-3302732fa406"
    />
    
    <img width="841" height="233" alt="Screenshot 2026-05-31 at 11 52 42 AM"
    src="https://github.com/user-attachments/assets/7ac76645-4e90-4d00-8242-f031146a22a5"
    />
    
    -------
    
    ```
    approvals_reviewer = "user"
    
    [apps.connector_5f3c8c41a1e54ad7a76272c89e2554fa]
    enabled = true
    approvals_reviewer = "auto_review"
    default_tools_approval_mode = "prompt"
    ```
    <img width="195" height="83" alt="Screenshot 2026-05-31 at 12 02 27 PM"
    src="https://github.com/user-attachments/assets/3d374dc8-8aa2-466f-a13f-e4ed8567aa2e"
    />
    <img width="771" height="207" alt="Screenshot 2026-05-31 at 12 05 42 PM"
    src="https://github.com/user-attachments/assets/105c2575-68d6-4ca6-8e69-dc8c82da36a2"
    />
    
    
    
    ## Summary
    - add `apps.<connector_id>.approvals_reviewer` to override Guardian or
    user review routing per connected app
    - apply overrides across direct app MCP calls, delegated MCP prompts,
    and app-server MCP elicitation review while preserving global behavior
    for non-app MCP servers
    - expose and document the config through app-server v2 and generated
    schemas, while honoring global managed reviewer requirements
    
    ---------
    
    Co-authored-by: jif-oai <jif@openai.com>
  • fix: rename McpServer to TestAppServer (#25701)
    This PR brought to you via VS Code rather than Codex...
    
    - opened `codex-rs/app-server/tests/common/mcp_process.rs`
    - put the cursor on `McpServer`
    - hit `F2` and renamed the symbol to `TestAppServer`
    - went to the file tree
    - hit enter and renamed `mcp_process.rs` to `test_app_server.rs`
    - ran **Save All Files** from the Command Palette
    - ran `just fmt`
    
    The End
    
    (Admittedly, most of the local variables for `TestAppServer` are still
    named `mcp`, though.)
  • app-server: drop legacy profile config surface (#24067)
    ## Why
    
    Legacy `[profiles.<name>]` config tables and the legacy `profile`
    selector are being retired in favor of profile files selected with
    `--profile <name>`. After #23886 removed the CLI-side legacy profile
    plumbing, the app-server config surface still exposed those fields and
    still carried conversion code for the old protocol shape.
    
    ## What changed
    
    - Remove `profile`, `profiles`, and `ProfileV2` from the app-server
    config protocol/schema output so `config/read` no longer returns legacy
    profile config.
    - Drop the old v1 `UserSavedConfig` profile conversion path from
    `config`.
    - Reject new app-server config writes under `profiles.*` with the same
    migration direction used for `profile`, while still allowing callers to
    clear existing legacy profile tables.
    - Refresh app-server config coverage and the experimental API README
    example around the remaining `Config` nesting path.
    
    ## Verification
    
    - Added config-manager coverage that `config/read` omits legacy profile
    config, `profiles.*` writes are rejected, and existing legacy profile
    tables can still be cleared.
    - Updated the v2 config RPC test to cover the rejected `profiles.*`
    batch-write path.
  • [1 of 4] tui: route primary settings writes through app server (#22913)
    ## Why
    The TUI can run against a remote app server, but several high-traffic
    settings still persisted by editing the local config file. That sends
    remote sessions' preference writes to the wrong machine and lets local
    disk state drift from the app-server-owned config.
    
    This is **[1 of 4]** in a stacked series that moves TUI-owned config
    mutations onto app-server APIs.
    
    ## What changed
    - Added a small TUI helper for typed app-server config writes.
    - Routed primary interactive preference writes through
    `config/batchWrite`.
    - Preserved existing profile scoping for settings that already support
    `profiles.<profile>.*` overrides.
    
    ## Config keys affected
    - `model`
    - `model_reasoning_effort`
    - `personality`
    - `service_tier`
    - `plan_mode_reasoning_effort`
    - `approvals_reviewer`
    - `notice.fast_default_opt_out`
    - Profile-scoped equivalents under `profiles.<profile>.*`
    
    ## Suggested manual validation
    - Connect the TUI to a remote app server, change `model` and
    `model_reasoning_effort`, reconnect, and confirm the remote config
    retained both values while the local `config.toml` did not change.
    - Change `personality`, `plan_mode_reasoning_effort`, and the explicit
    auto-review selection, then reconnect and confirm those choices persist
    through the app server.
    - Clear the service tier back to default and confirm `service_tier` is
    cleared while `notice.fast_default_opt_out = true` is persisted
    remotely.
    - Repeat one setting change with an active profile and confirm the write
    lands under `profiles.<profile>.*`.
    
    ## Stack
    1. [#22913](https://github.com/openai/codex/pull/22913) `[1 of 4]`
    primary settings writes
    2. [#22914](https://github.com/openai/codex/pull/22914) `[2 of 4]` app
    and skill enablement
    3. [#22915](https://github.com/openai/codex/pull/22915) `[3 of 4]`
    feature and memory toggles
    4. [#22916](https://github.com/openai/codex/pull/22916) `[4 of 4]`
    startup and onboarding bookkeeping
  • [codex] Add opaque desktop config namespace (#22584)
    ## Summary
    - reserve an explicit opaque `desktop` namespace in `ConfigToml`
    - expose `desktop` directly in the app-server v2 `config/read` response
    - keep `config/value/write` and `config/batchWrite` as the only mutation
    seam for paths like `desktop.someKey`
    - regenerate the config/app-server schema outputs and document the new
    contract
    
    ## Why
    The desktop settings work wants one durable, user-editable home for
    app-owned preferences in `~/.codex/config.toml`, without forcing Rust to
    model every individual desktop setting key.
    
    This PR is only the enabling Rust/app-server layer. It gives the
    Electron app a first-class config namespace it can read and write
    through the existing config APIs, while leaving the actual desktop
    migration to the app PR.
    
    ## Behavior and design notes
    - **Opaque but explicit:** `desktop` is first-class at the typed config
    root, while its children remain app-owned and open-ended.
    - **Strict validation still works:** arbitrary nested `desktop.*` keys
    are accepted instead of being rejected as unknown config.
    - **Existing config APIs stay the seam:** `config/read` returns the bag,
    and dotted writes such as `desktop.someKey` continue to flow through
    `config/value/write` / `config/batchWrite` rather than a bespoke RPC.
    - **No new consumer behavior:** Core/TUI do not start depending on
    desktop preferences. This only preserves and exposes the namespace for
    callers that intentionally use it.
    - **Same persistence machinery:** hand-edited `config.toml` keeps using
    the existing TOML edit/write path; this PR does not introduce a second
    serializer or side channel.
    - **TOML-friendly values:** the namespace is intended for ordinary
    JSON-shaped setting values that map cleanly into TOML: strings, numbers,
    booleans, arrays, and nested object/table values. This PR does not add
    special handling for TOML-only edge cases such as datetimes.
    
    ## Layering semantics
    Reads keep using the ordinary effective config pipeline, so `desktop`
    participates in the same layered `config/read` behavior as the rest of
    `ConfigToml`. Writes still target user config through the existing
    config service.
    
    ## Why this is the shape
    The alternative would be teaching Rust about each desktop setting as it
    is added. That would make ordinary app preferences into a cross-repo
    change, which is exactly the coupling we want to avoid.
    
    This keeps the contract small:
    1. Rust owns one opaque `desktop` namespace in `config.toml`.
    2. The desktop app owns the schema and meaning of individual keys inside
    it.
    3. The existing config APIs remain the transport and mutation surface.
    
    That is the piece the desktop settings PR needs in order to move forward
    cleanly.
    
    ## Verification
    - `cargo test -p codex-config strict_config_accepts_opaque_desktop_keys`
    - `cargo test -p codex-core
    desktop_toml_round_trips_opaque_nested_values`
    - `cargo test -p codex-core config_schema_matches_fixture`
    - `cargo test -p codex-app-server-protocol`
    - `cargo test -p codex-app-server --test all desktop_settings`
  • [codex] Support multiple forced ChatGPT workspaces (#18161)
    ## Summary
    
    This change lets `forced_chatgpt_workspace_id` accept multiple workspace
    IDs instead of a single value.
    
    It keeps the existing config key name, adds backward-compatible parsing
    for a single string in `config.toml`, and normalizes the setting into an
    allowed workspace list across login enforcement, app-server config
    surfaces, and local ChatGPT auth helpers.
    
    ## Why
    
    Workspace-restricted deployments may need to allow more than one ChatGPT
    workspace without dropping the guardrail entirely.
    
    ## Server-side impact
    
    Codex's local server and app-server protocol needed changes because they
    previously assumed a single workspace ID. The local login flow now
    matches the auth backend interface by sending the allowed workspace list
    as a single comma-separated `allowed_workspace_id` query parameter.
    
    ## Validation
    
    This was tested with:
    
    - A single workspace config
    - With multi-workspace configs
    - With multiple workspaces in the config
    - The user only being a part of a subset of them
    
    All were successful.
    
    Automated coverage:
    
    - `cargo test -p codex-login`
    - `cargo test -p codex-app-server-protocol`
    - `cargo test -p codex-tui local_chatgpt_auth`
    - `cargo test --locked -p codex-app-server
    login_account_chatgpt_includes_forced_workspace_allowlist_query_param`
  • feat: add layered --profile-v2 config files (#17141)
    ## Why
    
    `--profile-v2 <name>` gives launchers and runtime entry points a named
    profile config without making each profile duplicate the base user
    config. The base `$CODEX_HOME/config.toml` still loads first, then
    `$CODEX_HOME/<name>.config.toml` layers above it and becomes the active
    writable user config for that session.
    
    That keeps shared defaults, plugin/MCP setup, and managed/user
    constraints in one place while letting a named profile override only the
    pieces that need to differ.
    
    ## What Changed
    
    - Added the shared `--profile-v2 <name>` runtime option with validated
    plain names, now represented by `ProfileV2Name`.
    - Extended config layer state so the base user config and selected
    profile config are both `User` layers; APIs expose the active user layer
    and merged effective user config.
    - Threaded profile selection through runtime entry points: `codex`,
    `codex exec`, `codex review`, `codex resume`, `codex fork`, and `codex
    debug prompt-input`.
    - Made user-facing config writes go to the selected profile file when
    active, including TUI/settings persistence, app-server config writes,
    and MCP/app tool approval persistence.
    - Made plugin, marketplace, MCP, hooks, and config reload paths read
    from the merged user config so base and profile layers both participate.
    - Updated app-server config layer schemas to mark profile-backed user
    layers.
    
    ## Limits
    
    `--profile-v2` is still rejected for config-management subcommands such
    as feature, MCP, and marketplace edits. Those paths remain tied to the
    base `config.toml` until they have explicit profile-selection semantics.
    
    Some adjacent background writes may still update base or global state
    rather than the selected profile:
    
    - marketplace auto-upgrade metadata
    - automatic MCP dependency installs from skills
    - remote plugin sync or uninstall config edits
    - personality migration marker/default writes
    
    ## Verification
    
    Added targeted coverage for profile name validation, layer
    ordering/merging, selected-profile writes, app-server config writes,
    session hot reload, plugin config merging, hooks/config fixture updates,
    and MCP/app approval persistence.
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • chore(config) rm tools.view_image (#22501)
    ## Summary
    It appears this config flag has been broken/a noop for quite some time:
    since https://github.com/openai/codex/pull/8850. Let's simplify and get
    rid of this.
    
    ## Testing
    - [x] Updated unit tests
  • app-server: add pipelined config rpc regression test (#17371)
    ### Summary
    Adds regression coverage for pipelined config RPC reads after writes
    ### Testing
    These are new tests
  • [codex] Make AbsolutePathBuf joins infallible (#16981)
    Having to check for errors every time join is called is painful and
    unnecessary.
  • Allow bool web_search in ToolsToml (#14352)
    Summary
    - add a custom deserializer so `[tools].web_search` can be a bool
    (treated as disabled) or a config object
    - extend core and app-server tests to cover bool handling in TOML config
    
    Testing
    - Not run (not requested)
  • [app-server] Support hot-reload user config when batch writing config. (#13839)
    - [x] Support hot-reload user config when batch writing config.
  • 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.
  • [apps] Implement apps configs. (#12086)
    - [x] Implement apps configs.
  • Reapply "Add app-server transport layer with websocket support" (#11370)
    Reapply "Add app-server transport layer with websocket support" with
    additional fixes from https://github.com/openai/codex/pull/11313/changes
    to avoid deadlocking.
    
    This reverts commit 47356ff83c.
    
    ## Summary
    
    To avoid deadlocking when queues are full, we maintain separate tokio
    tasks dedicated to incoming vs outgoing event handling
    - split the app-server main loop into two tasks in
    `run_main_with_transport`
       - inbound handling (`transport_event_rx`)
       - outbound handling (`outgoing_rx` + `thread_created_rx`)
    - separate incoming and outgoing websocket tasks
    
    ## Validation
    
    Integration tests, testing thoroughly e2e in codex app w/ >10 concurrent
    requests
    
    <img width="1365" height="979" alt="Screenshot 2026-02-10 at 2 54 22 PM"
    src="https://github.com/user-attachments/assets/47ca2c13-f322-4e5c-bedd-25859cbdc45f"
    />
    
    ---------
    
    Co-authored-by: jif-oai <jif@openai.com>
  • Load requirements on windows (#10770)
    We support requirements on Unix, loading from
    `/etc/codex/requirements.toml`. On MacOS, we also support MDM.
    
    Now, on Windows, we'll load requirements from
    `%ProgramData%\OpenAI\Codex\requirements.toml`
  • Add app configs to config.toml (#10822)
    Adds app configs to config.toml + tests
  • Add layered config.toml support to app server (#9510)
    This PR adds support for chained (layered) config.toml file merging for
    clients that use the app server interface. This feature already exists
    for the TUI, but it does not work for GUI clients.
    
    It does the following:
    * Changes code paths for new thread, resume thread, and fork thread to
    use the effective config based on the cwd.
    * Updates the `config/read` API to accept an optional `cwd` parameter.
    If specified, the API returns the effective config based on that cwd
    path. Also optionally includes all layers including project config
    files. If cwd is not specified, the API falls back on its older behavior
    where it considers only the global (non-project) config files when
    computing the effective config.
    
    The changes in codex_message_processor.rs look deceptively large. They
    mostly just involve moving existing blocks of code to a later point in
    some functions so it can use the cwd to calculate the config.
    
    This PR builds upon #9509 and should be reviewed and merged after that
    PR.
    
    Tested:
    * Verified change with (dependent, as-yet-uncommitted) changes to IDE
    Extension and confirmed correct behavior
    
    The full fix requires additional changes in the IDE Extension code base,
    but they depend on this PR.
  • feat: honor /etc/codex/config.toml (#8461)
    This adds logic to load `/etc/codex/config.toml` and associate it with
    `ConfigLayerSource::System` on UNIX. I refactored the code so it shares
    logic with the creation of the `ConfigLayerSource::User` layer.
  • feat: migrate to new constraint-based loading strategy (#8251)
    This is a significant change to how layers of configuration are applied.
    In particular, the `ConfigLayerStack` now has two important fields:
    
    - `layers: Vec<ConfigLayerEntry>`
    - `requirements: ConfigRequirements`
    
    We merge `TomlValue`s across the layers, but they are subject to
    `ConfigRequirements` before creating a `Config`.
    
    How I would review this PR:
    
    - start with `codex-rs/app-server-protocol/src/protocol/v2.rs` and note
    the new variants added to the `ConfigLayerSource` enum:
    `LegacyManagedConfigTomlFromFile` and `LegacyManagedConfigTomlFromMdm`
    - note that `ConfigLayerSource` now has a `precedence()` method and
    implements `PartialOrd`
    - `codex-rs/core/src/config_loader/layer_io.rs` is responsible for
    loading "admin" preferences from `/etc/codex/managed_config.toml` and
    MDM. Because `/etc/codex/managed_config.toml` is now deprecated in favor
    of `/etc/codex/requirements.toml` and `/etc/codex/config.toml`, we now
    include some extra information on the `LoadedConfigLayers` returned in
    `layer_io.rs`.
    - `codex-rs/core/src/config_loader/mod.rs` has major changes to
    `load_config_layers_state()`, which is what produces `ConfigLayerStack`.
    The docstring has the new specification and describes the various layers
    that will be loaded and the precedence order.
    - It uses the information from `LoaderOverrides` "twice," both in the
    spirit of legacy support:
    - We use one instances to derive an instance of `ConfigRequirements`.
    Currently, the only field in `managed_config.toml` that contributes to
    `ConfigRequirements` is `approval_policy`. This PR introduces
    `Constrained::allow_only()` to support this.
    - We use a clone of `LoaderOverrides` to derive
    `ConfigLayerSource::LegacyManagedConfigTomlFromFile` and
    `ConfigLayerSource::LegacyManagedConfigTomlFromMdm` layers, as
    appropriate. As before, this ends up being a "best effort" at enterprise
    controls, but is enforcement is not guaranteed like it is for
    `ConfigRequirements`.
    - Now we only create a "user" layer if `$CODEX_HOME/config.toml` exists.
    (Previously, a user layer was always created for `ConfigLayerStack`.)
    - Similarly, we only add a "session flags" layer if there are CLI
    overrides.
    - `config_loader/state.rs` contains the updated implementation for
    `ConfigLayerStack`. Note the public API is largely the same as before,
    but the implementation is quite different. We leverage the fact that
    `ConfigLayerSource` is now `PartialOrd` to ensure layers are in the
    correct order.
    - A `Config` constructed via `ConfigBuilder.build()` will use
    `load_config_layers_state()` to create the `ConfigLayerStack` and use
    the associated `ConfigRequirements` when constructing the `Config`
    object.
    - That said, a `Config` constructed via
    `Config::load_from_base_config_with_overrides()` does _not_ yet use
    `ConfigBuilder`, so it creates a `ConfigRequirements::default()` instead
    of loading a proper `ConfigRequirements`. I will fix this in a
    subsequent PR.
    
    Then the following files are mostly test changes:
    
    ```
    codex-rs/app-server/tests/suite/v2/config_rpc.rs
    codex-rs/core/src/config/service.rs
    codex-rs/core/src/config_loader/tests.rs
    ```
    
    Again, because we do not always include "user" and "session flags"
    layers when the contents are empty, `ConfigLayerStack` sometimes has
    fewer layers than before (and the precedence order changed slightly),
    which is the main reason integration tests changed.
  • feat: change ConfigLayerName into a disjoint union rather than a simple enum (#8095)
    This attempts to tighten up the types related to "config layers."
    Currently, `ConfigLayerEntry` is defined as follows:
    
    
    https://github.com/openai/codex/blob/bef36f4ae765f471d7cd69372fcf1b92c8f0367a/codex-rs/core/src/config_loader/state.rs#L19-L25
    
    but the `source` field is a bit of a lie, as:
    
    - for `ConfigLayerName::Mdm`, it is
    `"com.openai.codex/config_toml_base64"`
    - for `ConfigLayerName::SessionFlags`, it is `"--config"`
    - for `ConfigLayerName::User`, it is `"config.toml"` (just the file
    name, not the path to the `config.toml` on disk that was read)
    - for `ConfigLayerName::System`, it seems like it is usually
    `/etc/codex/managed_config.toml` in practice, though on Windows, it is
    `%CODEX_HOME%/managed_config.toml`:
    
    
    https://github.com/openai/codex/blob/bef36f4ae765f471d7cd69372fcf1b92c8f0367a/codex-rs/core/src/config_loader/layer_io.rs#L84-L101
    
    All that is to say, in three out of the four `ConfigLayerName`, `source`
    is a `PathBuf` that is not an absolute path (or even a true path).
    
    This PR tries to uplevel things by eliminating `source` from
    `ConfigLayerEntry` and turning `ConfigLayerName` into a disjoint union
    named `ConfigLayerSource` that has the appropriate metadata for each
    variant, favoring the use of `AbsolutePathBuf` where appropriate:
    
    ```rust
    pub enum ConfigLayerSource {
        /// Managed preferences layer delivered by MDM (macOS only).
        #[serde(rename_all = "camelCase")]
        #[ts(rename_all = "camelCase")]
        Mdm { domain: String, key: String },
        /// Managed config layer from a file (usually `managed_config.toml`).
        #[serde(rename_all = "camelCase")]
        #[ts(rename_all = "camelCase")]
        System { file: AbsolutePathBuf },
        /// Session-layer overrides supplied via `-c`/`--config`.
        SessionFlags,
        /// User config layer from a file (usually `config.toml`).
        #[serde(rename_all = "camelCase")]
        #[ts(rename_all = "camelCase")]
        User { file: AbsolutePathBuf },
    }
    ```
  • fix: introduce AbsolutePathBuf as part of sandbox config (#7856)
    Changes the `writable_roots` field of the `WorkspaceWrite` variant of
    the `SandboxPolicy` enum from `Vec<PathBuf>` to `Vec<AbsolutePathBuf>`.
    This is helpful because now callers can be sure the value is an absolute
    path rather than a relative one. (Though when using an absolute path in
    a Seatbelt config policy, we still have to _canonicalize_ it first.)
    
    Because `writable_roots` can be read from a config file, it is important
    that we are able to resolve relative paths properly using the parent
    folder of the config file as the base path.
  • [app-server-protocol] Add types for config (#7658)
    Currently the config returned by `config/read` in untyped. Add types so
    it's easier for client to parse the config. Since currently configs are
    all defined in snake case we'll keep that instead of using camel case
    like the rest of V2.
    
    Sample output by testing using the app server test client:
    ```
    {
    <   "id": "f28449f4-b015-459b-b07b-eef06980165d",
    <   "result": {
    <     "config": {
    <       "approvalPolicy": null,
    <       "compactPrompt": null,
    <       "developerInstructions": null,
    <       "features": {
    <         "experimental_use_rmcp_client": true
    <       },
    <       "forcedChatgptWorkspaceId": null,
    <       "forcedLoginMethod": null,
    <       "instructions": null,
    <       "model": "gpt-5.1-codex-max",
    <       "modelAutoCompactTokenLimit": null,
    <       "modelContextWindow": null,
    <       "modelProvider": null,
    <       "modelReasoningEffort": null,
    <       "modelReasoningSummary": null,
    <       "modelVerbosity": null,
    <       "model_providers": {
    <         "local": {
    <           "base_url": "http://localhost:8061/api/codex",
    <           "env_http_headers": {
    <             "ChatGPT-Account-ID": "OPENAI_ACCOUNT_ID"
    <           },
    <           "env_key": "CHATGPT_TOKEN_STAGING",
    <           "name": "local",
    <           "wire_api": "responses"
    <         }
    <       },
    <       "model_reasoning_effort": "medium",
    <       "notice": {
    <         "hide_gpt-5.1-codex-max_migration_prompt": true,
    <         "hide_gpt5_1_migration_prompt": true
    <       },
    <       "profile": null,
    <       "profiles": {},
    <       "projects": {
    <         "/Users/celia/code": {
    <           "trust_level": "trusted"
    <         },
    <         "/Users/celia/code/codex": {
    <           "trust_level": "trusted"
    <         },
    <         "/Users/celia/code/openai": {
    <           "trust_level": "trusted"
    <         }
    <       },
    <       "reviewModel": null,
    <       "sandboxMode": null,
    <       "sandboxWorkspaceWrite": null,
    <       "tools": {
    <         "viewImage": null,
    <         "webSearch": null
    <       }
    <     },
    <     "origins": {
    <       "features.experimental_use_rmcp_client": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "model": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "model_providers.local.base_url": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "model_providers.local.env_http_headers.ChatGPT-Account-ID": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "model_providers.local.env_key": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "model_providers.local.name": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "model_providers.local.wire_api": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "model_reasoning_effort": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "notice.hide_gpt-5.1-codex-max_migration_prompt": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "notice.hide_gpt5_1_migration_prompt": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "projects./Users/celia/code.trust_level": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "projects./Users/celia/code/codex.trust_level": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "projects./Users/celia/code/openai.trust_level": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       },
    <       "tools.web_search": {
    <         "name": "user",
    <         "source": "/Users/celia/.codex/config.toml",
    <         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
    <       }
    <     }
    <   }
    < }
    ```
  • [app-server] make file_path for config optional (#7560)
    When we are writing to config using `config/value/write` or
    `config/batchWrite`, it always require a `config/read` before it right
    now in order to get the correct file path to write to. make this
    optional so we read from the default user config file if this is not
    passed in.