Commit Graph

182 Commits

  • Use ConfigLayerStack for skills discovery. (#8497)
    Use ConfigLayerStack to get all folders while loading skills.
  • feat: expose outputSchema to user_turn/turn_start app_server API (#8377)
    What changed
    - Added `outputSchema` support to the app-server APIs, mirroring `codex
    exec --output-schema` behavior.
    - V1 `sendUserTurn` now accepts `outputSchema` and constrains the final
    assistant message for that turn.
    - V2 `turn/start` now accepts `outputSchema` and constrains the final
    assistant message for that turn (explicitly per-turn only).
    
    Core behavior
    - `Op::UserTurn` already supported `final_output_json_schema`; now V1
    `sendUserTurn` forwards `outputSchema` into that field.
    - `Op::UserInput` now carries `final_output_json_schema` for per-turn
    settings updates; core maps it into
    `SessionSettingsUpdate.final_output_json_schema` so it applies to the
    created turn context.
    - V2 `turn/start` does NOT persist the schema via `OverrideTurnContext`
    (it’s applied only for the current turn). Other overrides
    (cwd/model/etc) keep their existing persistent behavior.
    
    API / docs
    - `codex-rs/app-server-protocol/src/protocol/v1.rs`: add `output_schema:
    Option<serde_json::Value>` to `SendUserTurnParams` (serialized as
    `outputSchema`).
    - `codex-rs/app-server-protocol/src/protocol/v2.rs`: add `output_schema:
    Option<JsonValue>` to `TurnStartParams` (serialized as `outputSchema`).
    - `codex-rs/app-server/README.md`: document `outputSchema` for
    `turn/start` and clarify it applies only to the current turn.
    - `codex-rs/docs/codex_mcp_interface.md`: document `outputSchema` for v1
    `sendUserTurn` and v2 `turn/start`.
    
    Tests added/updated
    - New app-server integration tests asserting `outputSchema` is forwarded
    into outbound `/responses` requests as `text.format`:
      - `codex-rs/app-server/tests/suite/output_schema.rs`
      - `codex-rs/app-server/tests/suite/v2/output_schema.rs`
    - Added per-turn semantics tests (schema does not leak to the next
    turn):
      - `send_user_turn_output_schema_is_per_turn_v1`
      - `turn_start_output_schema_is_per_turn_v2`
    - Added protocol wire-compat tests for the merged op:
      - serialize omits `final_output_json_schema` when `None`
      - deserialize works when field is missing
      - serialize includes `final_output_json_schema` when `Some(schema)`
    
    Call site updates (high level)
    - Updated all `Op::UserInput { .. }` constructions to include
    `final_output_json_schema`:
      - `codex-rs/app-server/src/codex_message_processor.rs`
      - `codex-rs/core/src/codex_delegate.rs`
      - `codex-rs/mcp-server/src/codex_tool_runner.rs`
      - `codex-rs/tui/src/chatwidget.rs`
      - `codex-rs/tui2/src/chatwidget.rs`
      - plus impacted core tests.
    
    Validation
    - `just fmt`
    - `cargo test -p codex-core`
    - `cargo test -p codex-app-server`
    - `cargo test -p codex-mcp-server`
    - `cargo test -p codex-tui`
    - `cargo test -p codex-tui2`
    - `cargo test -p codex-protocol`
    - `cargo clippy --all-features --tests --profile dev --fix -- -D
    warnings`
  • Attach more tags to feedback submissions (#8688)
    Attach more tags to sentry feedback so it's easier to classify and debug
    without having to scan through logs.
    
    Formatting isn't amazing but it's a start.
    <img width="1234" height="276" alt="image"
    src="https://github.com/user-attachments/assets/521a349d-f627-4051-b511-9811cd5cd933"
    />
  • [chore] add additional_details to StreamErrorEvent + wire through (#8307)
    ### What
    
    Builds on #8293.
    
    Add `additional_details`, which contains the upstream error message, to
    relevant structures used to pass along retryable `StreamError`s.
    
    Uses the new TUI status indicator's `details` field (shows under the
    status header) to display the `additional_details` error to the user on
    retryable `Reconnecting...` errors. This adds clarity for users for
    retryable errors.
    
    Will make corresponding change to VSCode extension to show
    `additional_details` as expandable from the `Reconnecting...` cell.
    
    Examples:
    <img width="1012" height="326" alt="image"
    src="https://github.com/user-attachments/assets/f35e7e6a-8f5e-4a2f-a764-358101776996"
    />
    
    <img width="1526" height="358" alt="image"
    src="https://github.com/user-attachments/assets/0029cbc0-f062-4233-8650-cc216c7808f0"
    />
  • feat: introduce codex-utils-cargo-bin as an alternative to assert_cmd::Command (#8496)
    This PR introduces a `codex-utils-cargo-bin` utility crate that
    wraps/replaces our use of `assert_cmd::Command` and
    `escargot::CargoBuild`.
    
    As you can infer from the introduction of `buck_project_root()` in this
    PR, I am attempting to make it possible to build Codex under
    [Buck2](https://buck2.build) as well as `cargo`. With Buck2, I hope to
    achieve faster incremental local builds (largely due to Buck2's
    [dice](https://buck2.build/docs/insights_and_knowledge/modern_dice/)
    build strategy, as well as benefits from its local build daemon) as well
    as faster CI builds if we invest in remote execution and caching.
    
    See
    https://buck2.build/docs/getting_started/what_is_buck2/#why-use-buck2-key-advantages
    for more details about the performance advantages of Buck2.
    
    Buck2 enforces stronger requirements in terms of build and test
    isolation. It discourages assumptions about absolute paths (which is key
    to enabling remote execution). Because the `CARGO_BIN_EXE_*` environment
    variables that Cargo provides are absolute paths (which
    `assert_cmd::Command` reads), this is a problem for Buck2, which is why
    we need this `codex-utils-cargo-bin` utility.
    
    My WIP-Buck2 setup sets the `CARGO_BIN_EXE_*` environment variables
    passed to a `rust_test()` build rule as relative paths.
    `codex-utils-cargo-bin` will resolve these values to absolute paths,
    when necessary.
    
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/8496).
    * #8498
    * __->__ #8496
  • Remove reasoning format (#8484)
    This isn't very useful parameter. 
    
    logic:
    ```
    if model puts `**` in their reasoning, trim it and visualize the header.
    if couldn't trim: don't render
    if model doesn't support: don't render
    ```
    
    We can simplify to:
    ```
    if could trim, visualize header.
    if not, don't render
    ```
  • 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.
  • remove minimal client version (#8447)
    This isn't needed value by client
  • Chore: remove rmcp feature and exp flag usages (#8087)
    ### Summary
    With codesigning on Mac, Windows and Linux, we should be able to safely
    remove `features.rmcp_client` and `use_experimental_use_rmcp_client`
    check from the codebase now.
  • Rename OpenAI models to models manager (#8346)
    # External (non-OpenAI) Pull Request Requirements
    
    Before opening this Pull Request, please read the dedicated
    "Contributing" markdown file or your PR may be closed:
    https://github.com/openai/codex/blob/main/docs/contributing.md
    
    If your PR conforms to our contribution guidelines, replace this text
    with a detailed and high quality description of your changes.
    
    Include a link to a bug report or enhancement request.
  • feat: support allowed_sandbox_modes in requirements.toml (#8298)
    This adds support for `allowed_sandbox_modes` in `requirements.toml` and
    provides legacy support for constraining sandbox modes in
    `managed_config.toml`. This is converted to `Constrained<SandboxPolicy>`
    in `ConfigRequirements` and applied to `Config` such that constraints
    are enforced throughout the harness.
    
    Note that, because `managed_config.toml` is deprecated, we do not add
    support for the new `external-sandbox` variant recently introduced in
    https://github.com/openai/codex/pull/8290. As noted, that variant is not
    supported in `config.toml` today, but can be configured programmatically
    via app server.
  • feat: move file name derivation into codex-file-search (#8334)
    ## Summary
    
      - centralize file name derivation in codex-file-search
      - reuse the helper in app-server fuzzy search to avoid duplicate logic
      - add unit tests for file_name_from_path
    
      ## Testing
    
      - cargo test -p codex-file-search
      - cargo test -p codex-app-server
  • feat: introduce ExternalSandbox policy (#8290)
    ## Description
    
    Introduced `ExternalSandbox` policy to cover use case when sandbox
    defined by outside environment, effectively it translates to
    `SandboxMode#DangerFullAccess` for file system (since sandbox configured
    on container level) and configurable `network_access` (either Restricted
    or Enabled by outside environment).
    
    as example you can configure `ExternalSandbox` policy as part of
    `sendUserTurn` v1 app_server API:
    
    ```
     {
                "conversationId": <id>,
                "cwd": <cwd>,
                "approvalPolicy": "never",
                "sandboxPolicy": {
                      "type": ""external-sandbox",
                      "network_access": "enabled"/"restricted"
                },
                "model": <model>,
                "effort": <effort>,
                ....
            }
    ```
  • Support skills shortDescription. (#8278)
    Allow SKILL.md to specify a more human-readable short description as
    skill metadata.
  • feat(app-server): add v2 deprecation notice (#8285)
    Add a v2 event for deprecation notices so we can get rid of
    `codex/event/deprecation_notice`.
  • 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.
  • caribou (#8265)
    Welcome caribou
    
    <img width="1536" height="1024" alt="image"
    src="https://github.com/user-attachments/assets/2a67b21f-40cf-4518-aee4-691af331ab50"
    />
  • chores: clean picker (#8232)
    # 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.
  • Support SYSTEM skills. (#8220)
    1. Remove PUBLIC skills and introduce SYSTEM skills embedded in the
    binary and installed into $CODEX_HOME/skills/.system at startup.
    2. Skills are now always enabled (feature flag removed).
    3. Update skills/list to accept forceReload and plumb it through (not
    used by clients yet).
  • chore: cleanup Config instantiation codepaths (#8226)
    This PR does various types of cleanup before I can proceed with more
    ambitious changes to config loading.
    
    First, I noticed duplicated code across these two methods:
    
    
    https://github.com/openai/codex/blob/774bd9e432fa2e0f4e059e97648cf92216912e19/codex-rs/core/src/config/mod.rs#L314-L324
    
    
    https://github.com/openai/codex/blob/774bd9e432fa2e0f4e059e97648cf92216912e19/codex-rs/core/src/config/mod.rs#L334-L344
    
    This has now been consolidated in
    `load_config_as_toml_with_cli_overrides()`.
    
    Further, I noticed that `Config::load_with_cli_overrides()` took two
    similar arguments:
    
    
    https://github.com/openai/codex/blob/774bd9e432fa2e0f4e059e97648cf92216912e19/codex-rs/core/src/config/mod.rs#L308-L311
    
    The difference between `cli_overrides` and `overrides` was not
    immediately obvious to me. At first glance, it appears that one should
    be able to be expressed in terms of the other, but it turns out that
    some fields of `ConfigOverrides` (such as `cwd` and
    `codex_linux_sandbox_exe`) are, by design, not configurable via a
    `.toml` file or a command-line `--config` flag.
    
    That said, I discovered that many callers of
    `Config::load_with_cli_overrides()` were passing
    `ConfigOverrides::default()` for `overrides`, so I created two separate
    methods:
    
    - `Config::load_with_cli_overrides(cli_overrides: Vec<(String,
    TomlValue)>)`
    - `Config::load_with_cli_overrides_and_harness_overrides(cli_overrides:
    Vec<(String, TomlValue)>, harness_overrides: ConfigOverrides)`
    
    The latter has a long name, as it is _not_ what should be used in the
    common case, so the extra typing is designed to draw attention to this
    fact. I tried to update the existing callsites to use the shorter name,
    where possible.
    
    Further, in the cases where `ConfigOverrides` is used, usually only a
    limited subset of fields are actually set, so I updated the declarations
    to leverage `..Default::default()` where possible.
  • feat: model picker (#8209)
    # 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.
  • Load models from static file (#8153)
    - Load models from static file as a fallback
    - Make API users use this file directly
    - Add tests to make sure updates to the file always serialize
  • feat: make list_models non-blocking (#8198)
    ### Summary
    * Make `app_server.list_models` to be non-blocking and consumers (i.e.
    extension) can manage the flow themselves.
    * Force config to use remote models and therefore fetch codex-auto model
    list.
  • chore: update listMcpServerStatus to be non-blocking (#8151)
    ### Summary
    * Update `listMcpServerStatus` to be non-blocking by wrapping it with
    tokio:spawn.
  • 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 },
    }
    ```
  • [app-server] add new RawResponseItem v2 event (#8152)
    ``codex/event/raw_response_item` (v1) -> `rawResponseItem/completed`
    (v1).
    
    test client log:
    ````
    < {
    <   "method": "codex/event/raw_response_item",
    <   "params": {
    <     "conversationId": "019b29f7-b089-7140-a535-3fe681562c15",
    <     "id": "0",
    <     "msg": {
    <       "item": {
    <         "arguments": "{\"command\":\"sed -n '1,160p' Cargo.toml\",\"workdir\":\"/Users/celia/code/codex/codex-rs\"}",
    <         "call_id": "call_DrqbdB2jPxezPWc19YVEEt3h",
    <         "name": "shell_command",
    <         "type": "function_call"
    <       },
    <       "type": "raw_response_item"
    <     }
    <   }
    < }
    < {
    <   "method": "rawResponseItem/completed",
    <   "params": {
    <     "item": {
    <       "arguments": "{\"command\":\"sed -n '1,160p' Cargo.toml\",\"workdir\":\"/Users/celia/code/codex/codex-rs\"}",
    <       "call_id": "call_DrqbdB2jPxezPWc19YVEEt3h",
    <       "name": "shell_command",
    <       "type": "function_call"
    <     },
    <     "threadId": "019b29f7-b089-7140-a535-3fe681562c15",
    <     "turnId": "0"
    <   }
    < }
    ```
  • chore: update listMcpServers to listMcpServerStatus (#8114)
    ### Summary
    * rename app server `listMcpServers` to `listMcpServerStatuses`.
  • chore(app-server): remove stubbed thread/compact API (#8086)
    We want to rely on server-side auto-compaction instead of having the
    client trigger context compaction manually. This API was stubbed as a
    placeholder and never implemented.
  • better name for windows sandbox features (#8077)
    `--enable enable...` is a bad look
  • Reimplement skills loading using SkillsManager + skills/list op. (#7914)
    refactor the way we load and manage skills:
    1. Move skill discovery/caching into SkillsManager and reuse it across
    sessions.
    2. Add the skills/list API (Op::ListSkills/SkillsListResponse) to fetch
    skills for one or more cwds. Also update app-server for VSCE/App;
    3. Trigger skills/list during session startup so UIs preload skills and
    handle errors immediately.
  • 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.
  • feat: clean config loading and config api (#7924)
    Check the README of the `config_loader` for details
  • feat: use latest disk value for mcp servers status (#7907)
    ### Summary
    Instead of stale in memory config value for listing mcp server statuses,
    we pull the latest disk value.
  • Fix misleading 'maximize' high effort description on xhigh models (#7874)
    ## Notes
    - switch misleading High reasoning effort descriptions from "Maximizes
    reasoning depth" to "Higher reasoning depth" across models with xhigh
    reasoning. Affects GPT-5.1 Codex Max and Robin
    - refresh model list fixtures and chatwidget snapshots to match new copy
    
    ## Revision
    - R2: Change 'Higher' to 'Greater'
    - R1: Initial
    
    ## Testing
    
    <img width="583" height="142" alt="image"
    src="https://github.com/user-attachments/assets/1ddd8971-7841-4cb3-b9ba-91095a7435d2"
    />
    
    <img width="838" height="142" alt="image"
    src="https://github.com/user-attachments/assets/79aaedbf-7624-4695-b822-93dea7d6a800"
    />
  • feat: robin (#7882)
    <img width="554" height="554" alt="image"
    src="https://github.com/user-attachments/assets/aa86f4c8-fb34-4b0e-8b03-3a9980dfdb08"
    />
    
    ---------
    
    Co-authored-by: Dylan Hurd <dylan.hurd@openai.com>
  • fix(stuff) (#7855)
    Co-authored-by: Ahmed Ibrahim <aibrahim@openai.com>
  • [app-server] make app server not throw error when login id is not found (#7831)
    Our previous design of cancellation endpoint is not idempotent, which
    caused a bunch of flaky tests. Make app server just returned a not_found
    status instead of throwing an error if the login id is not found. Keep
    V1 endpoint behavior the same.
  • fix: thread/list returning fewer than the requested amount due to filtering CXA-293 (#7509)
    This caused some conversations to not appear when they otherwise should.
    
    Prior to this change, `thread/list`/`list_conversations_common` would:
    - Fetch N conversations from `RolloutRecorder::list_conversations`
    - Then it would filter those (like by the provided `model_providers`)
    - This would make it potentially return less than N items.
    
    With this change:
    - `list_conversations_common` now continues fetching more conversations
    from `RolloutRecorder::list_conversations` until it "fills up" the
    `requested_page_size`.
    - Ultimately this means that clients can rely on getting eg 20
    conversations if they request 20 conversations.
  • [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"
    <       }
    <     }
    <   }
    < }
    ```
  • make model optional in config (#7769)
    - Make Config.model optional and centralize default-selection logic in
    ModelsManager, including a default_model helper (with
    codex-auto-balanced when available) so sessions now carry an explicit
    chosen model separate from the base config.
    - Resolve `model` once in `core` and `tui` from config. Then store the
    state of it on other structs.
    - Move refreshing models to be before resolving the default model
  • [app-server] Make sure that config writes preserve comments & order or configs (#7789)
    Make sure that config writes preserve comments and order of configs by
    utilizing the ConfigEditsBuilder in core.
    
    Tested by running a real example and made sure that nothing in the
    config file changes other than the configs to edit.
  • Removed experimental "command risk assessment" feature (#7799)
    This experimental feature received lukewarm reception during internal
    testing. Removing from the code base.
  • refactoring with_escalated_permissions to use SandboxPermissions instead (#7750)
    helpful in the future if we want more granularity for requesting
    escalated permissions:
    e.g when running in readonly sandbox, model can request to escalate to a
    sandbox that allows writes