Commit Graph

136 Commits

  • feat: refactor CodexAuth so invalid state cannot be represented (#10208)
    Previously, `CodexAuth` was defined as follows:
    
    
    https://github.com/openai/codex/blob/d550fbf41afc09d7d7b5ac813aea38de07b2a73f/codex-rs/core/src/auth.rs#L39-L46
    
    But if you looked at its constructors, we had creation for
    `AuthMode::ApiKey` where `storage` was built using a nonsensical path
    (`PathBuf::new()`) and `auth_dot_json` was `None`:
    
    
    https://github.com/openai/codex/blob/d550fbf41afc09d7d7b5ac813aea38de07b2a73f/codex-rs/core/src/auth.rs#L212-L220
    
    By comparison, when `AuthMode::ChatGPT` was used, `api_key` was always
    `None`:
    
    
    https://github.com/openai/codex/blob/d550fbf41afc09d7d7b5ac813aea38de07b2a73f/codex-rs/core/src/auth.rs#L665-L671
    
    https://github.com/openai/codex/pull/10012 took things further because
    it introduced a new `ChatgptAuthTokens` variant to `AuthMode`, which is
    important in when invoking `account/login/start` via the app server, but
    most logic _internal_ to the app server should just reason about two
    `AuthMode` variants: `ApiKey` and `ChatGPT`.
    
    This PR tries to clean things up as follows:
    
    - `LoginAccountParams` and `AuthMode` in `codex-rs/app-server-protocol/`
    both continue to have the `ChatgptAuthTokens` variant, though it is used
    exclusively for the on-the-wire messaging.
    - `codex-rs/core/src/auth.rs` now has its own `AuthMode` enum, which
    only has two variants: `ApiKey` and `ChatGPT`.
    - `CodexAuth` has been changed from a struct to an enum. It is a
    disjoint union where each variant (`ApiKey`, `ChatGpt`, and
    `ChatGptAuthTokens`) have only the associated fields that make sense for
    that variant.
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/10208).
    * #10224
    * __->__ #10208
  • Conversation naming (#8991)
    Session renaming:
    - `/rename my_session`
    - `/rename` without arg and passing an argument in `customViewPrompt`
    - AppExitInfo shows resume hint using the session name if set instead of
    uuid, defaults to uuid if not set
    - Names are stored in `CODEX_HOME/sessions.jsonl`
    
    Session resuming:
    - codex resume <name> lookup for `CODEX_HOME/sessions.jsonl` first entry
    matching the name and resumes the session
    
    ---------
    
    Co-authored-by: jif-oai <jif@openai.com>
  • feat(app-server): support external auth mode (#10012)
    This enables a new use case where `codex app-server` is embedded into a
    parent application that will directly own the user's ChatGPT auth
    lifecycle, which means it owns the user’s auth tokens and refreshes it
    when necessary. The parent application would just want a way to pass in
    the auth tokens for codex to use directly.
    
    The idea is that we are introducing a new "auth mode" currently only
    exposed via app server: **`chatgptAuthTokens`** which consist of the
    `id_token` (stores account metadata) and `access_token` (the bearer
    token used directly for backend API calls). These auth tokens are only
    stored in-memory. This new mode is in addition to the existing `apiKey`
    and `chatgpt` auth modes.
    
    This PR reuses the shape of our existing app-server account APIs as much
    as possible:
    - Update `account/login/start` with a new `chatgptAuthTokens` variant,
    which will allow the client to pass in the tokens and have codex
    app-server use them directly. Upon success, the server emits
    `account/login/completed` and `account/updated` notifications.
    - A new server->client request called
    `account/chatgptAuthTokens/refresh` which the server can use whenever
    the access token previously passed in has expired and it needs a new one
    from the parent application.
    
    I leveraged the core 401 retry loop which typically triggers auth token
    refreshes automatically, but made it pluggable:
    - **chatgpt** mode refreshes internally, as usual.
    - **chatgptAuthTokens** mode calls the client via
    `account/chatgptAuthTokens/refresh`, the client responds with updated
    tokens, codex updates its in-memory auth, then retries. This RPC has a
    10s timeout and handles JSON-RPC errors from the client.
    
    Also some additional things:
    - chatgpt logins are blocked while external auth is active (have to log
    out first. typically clients will pick one OR the other, not support
    both)
    - `account/logout` clears external auth in memory
    - Ensures that if `forced_chatgpt_workspace_id` is set via the user's
    config, we respect it in both:
    - `account/login/start` with `chatgptAuthTokens` (returns a JSON-RPC
    error back to the client)
    - `account/chatgptAuthTokens/refresh` (fails the turn, and on next
    request app-server will send another `account/chatgptAuthTokens/refresh`
    request to the client).
  • [connectors] Support connectors part 2 - slash command and tui (#9728)
    - [x] Support `/apps` slash command to browse the apps in tui.
    - [x] Support inserting apps to prompt using `$`.
    - [x] Lots of simplification/renaming from connectors to apps.
  • feat: sqlite 1 (#10004)
    Add a `.sqlite` database to be used to store rollout metatdata (and
    later logs)
    This PR is phase 1:
    * Add the database and the required infrastructure
    * Add a backfill of the database
    * Persist the newly created rollout both in files and in the DB
    * When we need to get metadata or a rollout, consider the `JSONL` as the
    source of truth but compare the results with the DB and show any errors
  • [skills] Auto install MCP dependencies when running skils with dependency specs. (#9982)
    Auto install MCP dependencies when running skils with dependency specs.
  • remove sandbox globals. (#9797)
    Threads sandbox updates through OverrideTurnContext for active turn
    Passes computed sandbox type into safety/exec
  • Add MCP server scopes config and use it as fallback for OAuth login (#9647)
    ### Motivation
    - Allow MCP OAuth flows to request scopes defined in `config.toml`
    instead of requiring users to always pass `--scopes` on the CLI.
    CLI/remote parameters should still override config values.
    
    ### Description
    - Add optional `scopes: Option<Vec<String>>` to `McpServerConfig` and
    `RawMcpServerConfig`, and propagate it through deserialization and the
    built config types.
    - Serialize `scopes` into the MCP server TOML via
    `serialize_mcp_server_table` in `core/src/config/edit.rs` and include
    `scopes` in the generated config schema (`core/config.schema.json`).
    - CLI: update `codex-rs/cli/src/mcp_cmd.rs` `run_login` to fall back to
    `server.scopes` when the `--scopes` flag is empty, with explicit CLI
    scopes still taking precedence.
    - App server: update
    `codex-rs/app-server/src/codex_message_processor.rs`
    `mcp_server_oauth_login` to use `params.scopes.or_else(||
    server.scopes.clone())` so the RPC path also respects configured scopes.
    - Update many test fixtures to initialize the new `scopes` field (set to
    `None`) so test code builds with the new struct field.
    
    ### Testing
    - Ran config tooling and formatters: `just write-config-schema`
    (succeeded), `just fmt` (succeeded), and `just fix -p codex-core`, `just
    fix -p codex-cli`, `just fix -p codex-app-server` (succeeded where
    applicable).
    - Ran unit tests for the CLI: `cargo test -p codex-cli` (passed).
    - Ran unit tests for core: `cargo test -p codex-core` (ran; many tests
    passed but several failed, including model refresh/403-related tests,
    shell snapshot/timeouts, and several `unified_exec` expectations).
    - Ran app-server tests: `cargo test -p codex-app-server` (ran; many
    integration-suite tests failed due to mocked/remote HTTP 401/403
    responses and wiremock expectations).
    
    If you want, I can split the tests into smaller focused runs or help
    debug the failing integration tests (they appear to be unrelated to the
    config change and stem from external HTTP/mocking behaviors encountered
    during the test runs).
    
    ------
    [Codex
    Task](https://chatgpt.com/codex/tasks/task_i_69718f505914832ea1f334b3ba064553)
  • Add thread/unarchive to restore archived rollouts (#9843)
    ## Summary
    - Adds a new `thread/unarchive` RPC to move archived thread rollouts
    back into the active `sessions/` tree.
    
    ## What changed
    - **Protocol**
      - Adds `thread/unarchive` request/response types and wiring.
    - **Server**
      - Implements `thread_unarchive` in the app server.
      - Validates the archived rollout path and thread ID.
    - Restores the rollout to `sessions/YYYY/MM/DD/...` based on the rollout
    filename timestamp.
    - **Core**
    - Adds `find_archived_thread_path_by_id_str` helper for archived
    rollouts.
    - **Docs**
      - Documents the new RPC and usage example.
    - **Tests**
      - Adds an end-to-end server test that:
        1) starts a thread,
        2) archives it,
        3) unarchives it,
        4) asserts the file is restored to `sessions/`.
    
    ## How to use
    ```json
    { "method": "thread/unarchive", "id": 24, "params": { "threadId": "<thread-id>" } }
    ```
    
    ## Author Codex Session
    
    `codex resume 019bf158-54b6-7960-a696-9d85df7e1bc1` (soon I'll make this
    kind of session UUID forkable by anyone with the right
    `session_object_storage_url` line in their config, but for now just
    pasting it here for my reference)
  • feat: dynamic tools injection (#9539)
    ## Summary
    Add dynamic tool injection to thread startup in API v2, wire dynamic
    tool calls through the app server to clients, and plumb responses back
    into the model tool pipeline.
    
    ### Flow (high level)
    - Thread start injects `dynamic_tools` into the model tool list for that
    thread (validation is done here).
    - When the model emits a tool call for one of those names, core raises a
    `DynamicToolCallRequest` event.
    - The app server forwards it to the client as `item/tool/call`, waits
    for the client’s response, then submits a `DynamicToolResponse` back to
    core.
    - Core turns that into a `function_call_output` in the next model
    request so the model can continue.
    
    ### What changed
    - Added dynamic tool specs to v2 thread start params and protocol types;
    introduced `item/tool/call` (request/response) for dynamic tool
    execution.
    - Core now registers dynamic tool specs at request time and routes those
    calls via a new dynamic tool handler.
    - App server validates tool names/schemas, forwards dynamic tool call
    requests to clients, and publishes tool outputs back into the session.
    - Integration tests
  • feat: ephemeral threads (#9765)
    Add ephemeral threads capabilities. Only exposed through the
    `app-server` v2
    
    The idea is to disable the rollout recorder for those threads.
  • feat(app-server) Expose personality (#9674)
    ### Motivation
    Exposes a per-thread / per-turn `personality` override in the v2
    app-server API so clients can influence model communication style at
    thread/turn start. Ensures the override is passed into the session
    configuration resolution so it becomes effective for subsequent turns
    and headless runners.
    
    ### Testing
    - [x] Add an integration-style test
    `turn_start_accepts_personality_override_v2` in
    `codex-rs/app-server/tests/suite/v2/turn_start.rs` that verifies a
    `/personality` override results in a developer update message containing
    `<personality_spec>` in the outbound model request.
    
    ------
    [Codex
    Task](https://chatgpt.com/codex/tasks/task_i_6971d646b1c08322a689a54d2649f3fe)
  • [connectors] Support connectors part 1 - App server & MCP (#9667)
    In order to make Codex work with connectors, we add a built-in gateway
    MCP that acts as a transparent proxy between the client and the
    connectors. The gateway MCP collects actions that are accessible to the
    user and sends them down to the user, when a connector action is chosen
    to be called, the client invokes the action through the gateway MCP as
    well.
    
     - [x] Add the system built-in gateway MCP to list and run connectors.
     - [x] Add the app server methods and protocol
  • feat(core) update Personality on turn (#9644)
    ## Summary
    Support updating Personality mid-Thread via UserTurn/OverwriteTurn. This
    is explicitly unused by the clients so far, to simplify PRs - app-server
    and tui implementations will be follow-ups.
    
    ## Testing
    - [x] added integration tests
  • 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.
  • chore(instructions) Remove unread SessionMeta.instructions field (#9423)
    ### Description
    - Remove the now-unused `instructions` field from the session metadata
    to simplify SessionMeta and stop propagating transient instruction text
    through the rollout recorder API. This was only saving
    user_instructions, and was never being read.
    - Stop passing user instructions into the rollout writer at session
    creation so the rollout header only contains canonical session metadata.
    
    ### Testing
    
    - Ran `just fmt` which completed successfully.
    - Ran `just fix -p codex-protocol`, `just fix -p codex-core`, `just fix
    -p codex-app-server`, `just fix -p codex-tui`, and `just fix -p
    codex-tui2` which completed (Clippy fixes applied) as part of
    verification.
    - Ran `cargo test -p codex-protocol` which passed (28 tests).
    - Ran `cargo test -p codex-core` which showed failures in a small set of
    tests (not caused by the protocol type change directly):
    `default_client::tests::test_create_client_sets_default_headers`,
    several `models_manager::manager::tests::refresh_available_models_*`,
    and `shell_snapshot::tests::linux_sh_snapshot_includes_sections` (these
    tests failed in this CI run).
    - Ran `cargo test -p codex-app-server` which reported several failing
    integration tests (including
    `suite::codex_message_processor_flow::test_codex_jsonrpc_conversation_flow`,
    `suite::output_schema::send_user_turn_*`, and
    `suite::user_agent::get_user_agent_returns_current_codex_user_agent`).
    - `cargo test -p codex-tui` and `cargo test -p codex-tui2` were
    attempted but aborted due to disk space exhaustion (`No space left on
    device`).
    
    ------
    [Codex
    Task](https://chatgpt.com/codex/tasks/task_i_696bd8ce632483228d298cf07c7eb41c)
  • Expose collaboration presets (#9421)
    Expose collaboration presets for clients
    
    ---------
    
    Co-authored-by: Josh McKinney <joshka@openai.com>
  • Support enable/disable skill via config/api. (#9328)
    In config.toml:
    ```
    [[skills.config]]
    path = "/Users/xl/.codex/skills/my_skill/SKILL.md"
    enabled = false
    ```
    
    API:
    skills/list, skills/config/write
  • feat(app-server, core): return threads by created_at or updated_at (#9247)
    Add support for returning threads by either `created_at` OR `updated_at`
    descending. Previously core always returned threads ordered by
    `created_at`.
    
    This PR:
    - updates core to be able to list threads by `updated_at` OR
    `created_at` descending based on what the caller wants
    - also update `thread/list` in app-server to expose this (default to
    `created_at` if not specified)
    
    All existing codepaths (app-server, TUI) still default to `created_at`,
    so no behavior change is expected with this PR.
    
    **Implementation**
    To sort by `updated_at` is a bit nontrivial (whereas `created_at` is
    easy due to the way we structure the folders and filenames on disk,
    which are all based on `created_at`).
    
    The most naive way to do this without introducing a cache file or sqlite
    DB (which we have to implement/maintain) is to scan files in reverse
    `created_at` order on disk, and look at the file's mtime (last modified
    timestamp according to the filesystem) until we reach `MAX_SCAN_FILES`
    (currently set to 10,000). Then, we can return the most recent N
    threads.
    
    Based on some quick and dirty benchmarking on my machine with ~1000
    rollout files, calling `thread/list` with limit 50, the `updated_at`
    path is slower as expected due to all the I/O:
    - updated-at: average 103.10 ms
    - created-at: average 41.10 ms
    
    Those absolute numbers aren't a big deal IMO, but we can certainly
    optimize this in a followup if needed by introducing more state stored
    on disk.
    
    **Caveat**
    There's also a limitation in that any files older than `MAX_SCAN_FILES`
    will be excluded, which means if a user continues a REALLY old thread,
    it's possible to not be included. In practice that should not be too big
    of an issue.
    
    If a user makes...
    - 1000 rollouts/day → threads older than 10 days won't show up
    - 100 rollouts/day → ~100 days
    
    If this becomes a problem for some reason, even more motivation to
    implement an updated_at cache.
  • Add text element metadata to protocol, app server, and core (#9331)
    The second part of breaking up PR
    https://github.com/openai/codex/pull/9116
    
    Summary:
    
    - Add `TextElement` / `ByteRange` to protocol user inputs and user
    message events with defaults.
    - Thread `text_elements` through app-server v1/v2 request handling and
    history rebuild.
    - Preserve UI metadata only in user input/events (not `ContentItem`)
    while keeping local image attachments in user events for rehydration.
    
    Details:
    
    - Protocol: `UserInput::Text` carries `text_elements`;
    `UserMessageEvent` carries `text_elements` + `local_images`.
    Serialization includes empty vectors for backward compatibility.
    - app-server-protocol: v1 defines `V1TextElement` / `V1ByteRange` in
    camelCase with conversions; v2 uses its own camelCase wrapper.
    - app-server: v1/v2 input mapping includes `text_elements`; thread
    history rebuilds include them.
    - Core: user event emission preserves UI metadata while model history
    stays clean; history replay round-trips the metadata.
  • Support SKILL.toml file. (#9125)
    We’re introducing a new SKILL.toml to hold skill metadata so Codex can
    deliver a richer Skills experience.
    
    Initial focus is the interface block:
    ```
    [interface]
    display_name = "Optional user-facing name"
    short_description = "Optional user-facing description"
    icon_small = "./assets/small-400px.png"
    icon_large = "./assets/large-logo.svg"
    brand_color = "#3B82F6"
    default_prompt = "Optional surrounding prompt to use the skill with"
    ```
    
    All fields are exposed via the app server API.
    display_name and short_description are consumed by the TUI.
  • Add text element metadata to types (#9235)
    Initial type tweaking PR to make the diff of
    https://github.com/openai/codex/pull/9116 smaller
    
    This should not change any behavior, just adds some fields to types
  • Use current model for review (#9179)
    Instead of having a hard-coded default review model, use the current
    model for running `/review` unless one is specified in the config.
    
    Also inherit current reasoning effort
  • feat: add auto refresh on thread listeners (#9105)
    This PR is in the scope of multi-agent work. 
    
    An agent (=thread) can now spawn other agents. Those other agents are
    not attached to any clients. We need a way to make sure that the clients
    are aware of the new threads to look at (for approval for example). This
    PR adds a channel to the `ThreadManager` that pushes the ID of those
    newly created agents such that the client (here the app-server) can also
    subscribe to those ones.
  • Restrict MCP servers from requirements.toml (#9101)
    Enterprises want to restrict the MCP servers their users can use.
    
    Admins can now specify an allowlist of MCPs in `requirements.toml`. The
    MCP servers are matched on both Name and Transport (local path or HTTP
    URL) -- both must match to allow the MCP server. This prevents
    circumventing the allowlist by renaming MCP servers in user config. (It
    is still possible to replace the local path e.g. rewrite say
    `/usr/local/github-mcp` with a nefarious MCP. We could allow hash
    pinning in the future, but that would break updates. I also think this
    represents a broader, out-of-scope problem.)
    
    We introduce a new field to Constrained: "normalizer". In general, it is
    a fn(T) -> T and applies when `Constrained<T>.set()` is called. In this
    particular case, it disables MCP servers which do not match the
    allowlist. An alternative solution would remove this and instead throw a
    ConstraintError. That would stop Codex launching if any MCP server was
    configured which didn't match. I think this is bad.
    
    We currently reuse the enabled flag on MCP servers to disable them, but
    don't propagate any information about why they are disabled. I'd like to
    add that in a follow up PR, possibly by switching out enabled with an
    enum.
    
    In action:
    
    ```
    # MCP server config has two MCPs. We are going to allowlist one of them.
    ➜  codex git:(gt/restrict-mcps) ✗ cat ~/.codex/config.toml | grep mcp_servers -A1
    [mcp_servers.hello_world]
    command = "hello-world-mcp"
    --
    [mcp_servers.docs]
    command = "docs-mcp"
    
    # Restrict the MCPs to the hello_world MCP.
    ➜  codex git:(gt/restrict-mcps) ✗ defaults read com.openai.codex requirements_toml_base64 | base64 -d
    [mcp_server_allowlist.hello_world]
    command = "hello-world-mcp"
    
    # List the MCPs, observe hello_world is enabled and docs is disabled.
    ➜  codex git:(gt/restrict-mcps) ✗ just codex mcp list
    cargo run --bin codex -- "$@"
        Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.25s
         Running `target/debug/codex mcp list`
    Name         Command          Args  Env  Cwd  Status    Auth
    docs         docs-mcp         -     -    -    disabled  Unsupported
    hello_world  hello-world-mcp  -     -    -    enabled   Unsupported
    
    # Remove the restrictions.
    ➜  codex git:(gt/restrict-mcps) ✗ defaults delete com.openai.codex requirements_toml_base64
    
    # Observe both MCPs are enabled.
    ➜  codex git:(gt/restrict-mcps) ✗ just codex mcp list
    cargo run --bin codex -- "$@"
        Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.25s
         Running `target/debug/codex mcp list`
    Name         Command          Args  Env  Cwd  Status   Auth
    docs         docs-mcp         -     -    -    enabled  Unsupported
    hello_world  hello-world-mcp  -     -    -    enabled  Unsupported
    
    # A new requirements that updates the command to one that does not match.
    ➜  codex git:(gt/restrict-mcps) ✗ cat ~/requirements.toml
    [mcp_server_allowlist.hello_world]
    command = "hello-world-mcp-v2"
    
    # Use those requirements.
    ➜  codex git:(gt/restrict-mcps) ✗ defaults write com.openai.codex requirements_toml_base64 "$(base64 -i /Users/gt/requirements.toml)"
    
    # Observe both MCPs are disabled.
    ➜  codex git:(gt/restrict-mcps) ✗ just codex mcp list
    cargo run --bin codex -- "$@"
        Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.75s
         Running `target/debug/codex mcp list`
    Name         Command          Args  Env  Cwd  Status    Auth
    docs         docs-mcp         -     -    -    disabled  Unsupported
    hello_world  hello-world-mcp  -     -    -    disabled  Unsupported
    ```
  • feat: hot reload mcp servers (#8957)
    ### Summary
    * Added `mcpServer/refresh` command to inform app servers and active
    threads to refresh mcpServer on next turn event.
    * Added `pending_mcp_server_refresh_config` to codex core so that if the
    value is populated, we reinitialize the mcp server manager on the thread
    level.
    * The config is updated on `mcpServer/refresh` command which we iterate
    through threads and provide with the latest config value after last
    write.
  • Add static mcp callback uri support (#8971)
    Currently the callback URI for MCP authentication is dynamically
    generated. More specifically, the callback URI is dynamic because the
    port part of it is randomly chosen by the OS. This is not ideal as
    callback URIs are recommended to be static and many authorization
    servers do not support dynamic callback URIs.
    
    This PR fixes that issue by exposing a new config option named
    `mcp_oauth_callback_port`. When it is set, the callback URI is
    constructed using this port rather than a random one chosen by the OS,
    thereby making callback URI static.
    
    Related issue: https://github.com/openai/codex/issues/8827
  • Add config to disable /feedback (#8909)
    Some enterprises do not want their users to be able to `/feedback`.
    
    <img width="395" height="325" alt="image"
    src="https://github.com/user-attachments/assets/2dae9c0b-20c3-4a15-bcd3-0187857ebbd8"
    />
    
    Adds to `config.toml`:
    
    ```toml
    [feedback]
    enabled = false
    ```
    
    I've deliberately decided to:
    1. leave other references to `/feedback` (e.g. in the interrupt message,
    tips of the day) unchanged. I think we should continue to promote the
    feature even if it is not usable currently.
    2. leave the `/feedback` menu item selectable and display an error
    saying it's disabled, rather than remove the menu item (which I believe
    would raise more questions).
    
    but happy to discuss these.
    
    This will be followed by a change to requirements.toml that admins can
    use to force the value of feedback.enabled.
  • feat: fork conversation/thread (#8866)
    ## Summary
    - add thread/conversation fork endpoints to the protocol (v1 + v2)
    - implement fork handling in app-server using thread manager and config
    overrides
    - add fork coverage in app-server tests and document `thread/fork` usage
  • Immutable CodexAuth (#8857)
    Historically we started with a CodexAuth that knew how to refresh it's
    own tokens and then added AuthManager that did a different kind of
    refresh (re-reading from disk).
    
    I don't think it makes sense for both `CodexAuth` and `AuthManager` to
    be mutable and contain behaviors.
    
    Move all refresh logic into `AuthManager` and keep `CodexAuth` as a data
    object.
  • Feat: appServer.requirementList for requirement.toml (#8800)
    ### Summary
    We are exposing requirements via `requirement/list` method from
    app-server so that we can conditionally disable the agent mode dropdown
    selection in VSCE and correctly setting the default value.
    
    ### Sample output
    #### `etc/codex/requirements.toml`
    <img width="497" height="49" alt="Screenshot 2026-01-06 at 11 32 06 PM"
    src="https://github.com/user-attachments/assets/fbd9402e-515f-4b9e-a158-2abb23e866a0"
    />
    
    #### App server response
    <img width="1107" height="79" alt="Screenshot 2026-01-06 at 11 30 18 PM"
    src="https://github.com/user-attachments/assets/c0d669cd-54ef-4789-a26c-adb2c41950af"
    />
  • chore: unify conversation with thread name (#8830)
    Done and verified by Codex + refactor feature of RustRover
  • [app-server] fix config loading for conversations (#8765)
    Currently we don't load config properly for app server conversations.
    see:
    https://linear.app/openai/issue/CODEX-3956/config-flags-not-respected-in-codex-app-server.
    This PR fixes that by respecting the config passed in.
    
    Tested by running `cargo build -p codex-cli &&
    RUST_LOG=codex_app_server=debug CODEX_BIN=target/debug/codex cargo run
    -p codex-app-server-test-client -- \
    --config
    model_providers.mock_provider.base_url=\"http://localhost:4010/v2\" \
        --config model_provider=\"mock_provider\" \
        --config model_providers.mock_provider.name="hello" \
        send-message-v2 "hello"`
    and verified that the mock_provider is called instead of default
    provider.
    
    #closes
    https://linear.app/openai/issue/CODEX-3956/config-flags-not-respected-in-codex-app-server
    
    ---------
    
    Co-authored-by: Michael Bolin <mbolin@openai.com>
  • feat(app-server): thread/rollback API (#8454)
    Add `thread/rollback` to app-server to support IDEs undo-ing the last N
    turns of a thread.
    
    For context, an IDE partner will be supporting an "undo" capability
    where the IDE (the app-server client) will be responsible for reverting
    the local changes made during the last turn. To support this well, we
    also need a way to drop the last turn (or more generally, the last N
    turns) from the agent's context. This is what `thread/rollback` does.
    
    **Core idea**: A Thread rollback is represented as a persisted event
    message (EventMsg::ThreadRollback) in the rollout JSONL file, not by
    rewriting history. On resume, both the model's context (core replay) and
    the UI turn list (app-server v2's thread history builder) apply these
    markers so the pruned history is consistent across live conversations
    and `thread/resume`.
    
    Implementation notes:
    - Rollback only affects agent context and appends to the rollout file;
    clients are responsible for reverting files on disk.
    - If a thread rollback is currently in progress, subsequent
    `thread/rollback` calls are rejected.
    - Because we use `CodexConversation::submit` and codex core tracks
    active turns, returning an error on concurrent rollbacks is communicated
    via an `EventMsg::Error` with a new variant
    `CodexErrorInfo::ThreadRollbackFailed`. app-server watches for that and
    sends the BAD_REQUEST RPC response.
    
    Tests cover thread rollbacks in both core and app-server, including when
    `num_turns` > existing turns (which clears all turns).
    
    **Note**: this explicitly does **not** behave like `/undo` which we just
    removed from the CLI, which does the opposite of what `thread/rollback`
    does. `/undo` reverts local changes via ghost commits/snapshots and does
    not modify the agent's context / conversation history.
  • 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`
  • 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.
  • 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.
  • Support skills shortDescription. (#8278)
    Allow SKILL.md to specify a more human-readable short description as
    skill metadata.
  • 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: 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.