Commit Graph

28 Commits

  • Remove test-support feature from codex-core and replace it with explicit test toggles (#11405)
    ## Why
    
    `codex-core` was being built in multiple feature-resolved permutations
    because test-only behavior was modeled as crate features. For a large
    crate, those permutations increase compile cost and reduce cache reuse.
    
    ## Net Change
    
    - Removed the `test-support` crate feature and related feature wiring so
    `codex-core` no longer needs separate feature shapes for test consumers.
    - Standardized cross-crate test-only access behind
    `codex_core::test_support`.
    - External test code now imports helpers from
    `codex_core::test_support`.
    - Underlying implementation hooks are kept internal (`pub(crate)`)
    instead of broadly public.
    
    ## Outcome
    
    - Fewer `codex-core` build permutations.
    - Better incremental cache reuse across test targets.
    - No intended production behavior change.
  • Disable dynamic model refresh for custom model providers (#11239)
    The dynamic model refresh feature (`https://api.openai.com/v1/models`
    endpoint) is currently gated on a runtime check for an auth method other
    than API Key. It should be gated on a check specifically for ChatGPT
    Auth because some custom model providers (e.g. for local models) use no
    auth mechanism. A call to `self.auth_manager.auth_mode()` will return
    `None` in this case.
    
    Addresses #11213
  • Remove offline fallback for models (#11238)
    # 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.
  • Use longest remote model prefix matching (#11228)
    Match model metadata by longest matching remote slug prefix before local
    fallback.
    
    - Update `get_model_info` to prefer the most specific remote slug prefix
    for the requested model.
    - Add an integration test to assert `gpt-5.3-codex-test` resolves to
    `gpt-5.3-codex` over `gpt-5.3`.
  • fix(auth): isolate chatgptAuthTokens concept to auth manager and app-server (#10423)
    So that the rest of the codebase (like TUI) don't need to be concerned
    whether ChatGPT auth was handled by Codex itself or passed in via
    app-server's external auth mode.
  • chore: rename ChatGpt -> Chatgpt in type names (#10244)
    When using ChatGPT in names of types, we should be consistent, so this
    renames some types with `ChatGpt` in the name to `Chatgpt`. From
    https://rust-lang.github.io/api-guidelines/naming.html:
    
    > In `UpperCamelCase`, acronyms and contractions of compound words count
    as one word: use `Uuid` rather than `UUID`, `Usize` rather than `USize`
    or `Stdin` rather than `StdIn`. In `snake_case`, acronyms and
    contractions are lower-cased: `is_xid_start`.
    
    This PR updates existing uses of `ChatGpt` and changes them to
    `Chatgpt`. Though in all cases where it could affect the wire format, I
    visually inspected that we don't change anything there. That said, this
    _will_ change the codegen because it will affect the spelling of type
    names.
    
    For example, this renames `AuthMode::ChatGPT` to `AuthMode::Chatgpt` in
    `app-server-protocol`, but the wire format is still `"chatgpt"`.
    
    This PR also updates a number of types in `codex-rs/core/src/auth.rs`.
  • 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
  • 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).
  • Remove WebSocket wire format (#10179)
    I'd like WireApi to go away (when chat is removed) and WebSockets is
    still responses API just over a different transport.
  • Use collaboration mode masks without mutating base settings (#9806)
    Keep an unmasked base collaboration mode and apply the active mask on
    demand. Simplify the TUI mask helpers and update tests/docs to match the
    mask contract.
  • Select default model from filtered presets (#9782)
    Pick the first available preset after auth filtering for default
    selection.
  • merge remote models (#9547)
    We have `models.json` and `/models` response
    Behavior:
    1. New models from models endpoint gets added
    2. Shared models get replaced by remote ones
    3. Existing models in `models.json` but not `/models` are kept
    4. Mark highest priority as default
  • Expose collaboration presets (#9421)
    Expose collaboration presets for clients
    
    ---------
    
    Co-authored-by: Josh McKinney <joshka@openai.com>
  • Renew cache ttl on etag match (#9174)
    so we don't do unnecessary fetches
  • clean models manager (#9168)
    Have only the following Methods:
    - `list_models`: getting current available models
    - `try_list_models`: sync version no refresh for tui use
    - `get_default_model`: get the default model (should be tightened to
    core and received on session configuration)
    - `get_model_info`: get `ModelInfo` for a specific model (should be
    tightened to core but used in tests)
    - `refresh_if_new_etag`: trigger refresh on different etags
    
    Also move the cache to its own struct
  • Add 5s timeout to models list call + integration test (#8942)
    - Enforce a 5s timeout around the remote models refresh to avoid hanging
    /models calls.
  • 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.
  • Merge Modelfamily into modelinfo (#8763)
    - Merge ModelFamily into ModelInfo
    - Remove logic for adding instructions to apply patch
    - Add compaction limit and visible context window to `ModelInfo`
  • Enable model upgrade popup even when selected model is no longer in picker (#8802)
    With `config.toml`:
    ```
    model = "gpt-5.1-codex"
    ```
    (where `gpt-5.1-codex` has `show_in_picker: false` in
    [`model_presets.rs`](https://github.com/openai/codex/blob/main/codex-rs/core/src/models_manager/model_presets.rs);
    this happens if the user hasn't used codex in a while so they didn't see
    the popup before their model was changed to `show_in_picker: false`)
    
    The upgrade picker used to not show (because `gpt-5.1-codex` was
    filtered out of the model list in code). Now, the filtering is done
    downstream in tui and app-server, so the model upgrade popup shows:
    
    <img width="1503" height="227" alt="Screenshot 2026-01-06 at 5 04 37 PM"
    src="https://github.com/user-attachments/assets/26144cc2-0b3f-4674-ac17-e476781ec548"
    />
  • hard disable remote models refresh when feature is disabled (#8687)
    We were refreshing on tag mismatch even with feature is disabled
  • Refresh on models etag mismatch (#8491)
    - Send models etag
    - Refresh models on 412
    - This wires `ModelsManager` to `ModelFamily` so we don't mutate it
    mid-turn
  • 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
    ```
  • 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.