Commit Graph

10 Commits

  • Dividing UserMsgs into categories to send it back to the tui (#3127)
    This PR does the following:
    
    - divides user msgs into 3 categories: plain, user instructions, and
    environment context
    - Centralizes adding user instructions and environment context to a
    degree
    - Improve the integration testing
    
    Building on top of #3123
    
    Specifically this
    [comment](https://github.com/openai/codex/pull/3123#discussion_r2319885089).
    We need to send the user message while ignoring the User Instructions
    and Environment Context we attach.
  • Replay EventMsgs from Response Items when resuming a session with history. (#3123)
    ### Overview
    
    This PR introduces the following changes:
    	1.	Adds a unified mechanism to convert ResponseItem into EventMsg.
    2. Ensures that when a session is initialized with initial history, a
    vector of EventMsg is sent along with the session configuration. This
    allows clients to re-render the UI accordingly.
    	3. 	Added integration testing
    
    ### Caveats
    
    This implementation does not send every EventMsg that was previously
    dispatched to clients. The excluded events fall into two categories:
    	•	“Arguably” rolled-out events
    Examples include tool calls and apply-patch calls. While these events
    are conceptually rolled out, we currently only roll out ResponseItems.
    These events are already being handled elsewhere and transformed into
    EventMsg before being sent.
    	•	Non-rolled-out events
    Certain events such as TurnDiff, Error, and TokenCount are not rolled
    out at all.
    
    ### Future Directions
    
    At present, resuming a session involves maintaining two states:
    	•	UI State
    Clients can replay most of the important UI from the provided EventMsg
    history.
    	•	Model State
    The model receives the complete session history to reconstruct its
    internal state.
    
    This design provides a solid foundation. If, in the future, more precise
    UI reconstruction is needed, we have two potential paths:
    1. Introduce a third data structure that allows us to derive both
    ResponseItems and EventMsgs.
    2. Clearly divide responsibilities: the core system ensures the
    integrity of the model state, while clients are responsible for
    reconstructing the UI.
  • Fix failing CI (#3130)
    In this test, the ChatGPT token path is used, and the auth layer tries
    to refresh the token if it thinks the token is “old.” Your helper writes
    a fixed last_refresh timestamp that has now aged past the 28‑day
    threshold, so the code attempts a real refresh against auth.openai.com,
    never reaches the mock, and you end up with
    received_requests().await.unwrap() being empty.
  • Add a common way to create HTTP client (#3110)
    Ensure User-Agent and originator are always sent.
  • Move CodexAuth and AuthManager to the core crate (#3074)
    Fix a long standing layering issue.
  • chore: unify history loading (#2736)
    We have two ways of loading conversation with a previous history. Fork
    conversation and the experimental resume that we had before. In this PR,
    I am unifying their code path. The path is getting the history items and
    recording them in a brand new conversation. This PR also constraint the
    rollout recorder responsibilities to be only recording to the disk and
    loading from the disk.
    
    The PR also fixes a current bug when we have two forking in a row:
    History 1:
    <Environment Context>
    UserMessage_1
    UserMessage_2
    UserMessage_3
    
    **Fork with n = 1 (only remove one element)**
    History 2:
    <Environment Context>
    UserMessage_1
    UserMessage_2
    <Environment Context>
    
    **Fork with n = 1 (only remove one element)**
    History 2:
    <Environment Context>
    UserMessage_1
    UserMessage_2
    **<Environment Context>**
    
    This shouldn't happen but because we were appending the `<Environment
    Context>` after each spawning and it's considered as _user message_.
    Now, we don't add this message if restoring and old conversation.
  • chore: require uninlined_format_args from clippy (#2845)
    - added `uninlined_format_args` to `[workspace.lints.clippy]` in the
    `Cargo.toml` for the workspace
    - ran `cargo clippy --tests --fix`
    - ran `just fmt`
  • Add "View Image" tool (#2723)
    Adds a "View Image" tool so Codex can find and see images by itself:
    
    <img width="1772" height="420" alt="Screenshot 2025-08-26 at 10 40
    04 AM"
    src="https://github.com/user-attachments/assets/7a459c7b-0b86-4125-82d9-05fbb35ade03"
    />
  • Bug fix: deduplicate assistant messages (#2758)
    We are treating assistant messages in a different way than other
    messages which resulted in a duplicated history.
    
    See #2698
  • test: faster test execution in codex-core (#2633)
    this dramatically improves time to run `cargo test -p codex-core` (~25x
    speedup).
    
    before:
    ```
    cargo test -p codex-core  35.96s user 68.63s system 19% cpu 8:49.80 total
    ```
    
    after:
    ```
    cargo test -p codex-core  5.51s user 8.16s system 63% cpu 21.407 total
    ```
    
    both tests measured "hot", i.e. on a 2nd run with no filesystem changes,
    to exclude compile times.
    
    approach inspired by [Delete Cargo Integration
    Tests](https://matklad.github.io/2021/02/27/delete-cargo-integration-tests.html),
    we move all test cases in tests/ into a single suite in order to have a
    single binary, as there is significant overhead for each test binary
    executed, and because test execution is only parallelized with a single
    binary.