Commit Graph

51 Commits

  • Update default yield time (#6610)
    10s for exec and 250ms for write_stdin
  • Overhaul shell detection and centralize command generation for unified exec (#6577)
    This fixes command display for unified exec. All `cd`s and `ls`es are
    now parsed.
    
    <img width="452" height="237" alt="image"
    src="https://github.com/user-attachments/assets/ce92d81f-f74c-485a-9b34-1eaa29290ec6"
    />
    
    Deletes a ton of tests that were doing nothing from shell.rs.
    
    ---------
    
    Co-authored-by: Pavel Krymets <pavel@krymets.com>
  • Change model picker to include gpt5.1 (#6569)
    - Change the presets
    - Change the tests that make sure we keep the list of tools updated
    - Filter out deprecated models
  • feat: shell_command tool (#6510)
    This adds support for a new variant of the shell tool behind a flag. To
    test, run `codex` with `--enable shell_command_tool`, which will
    register the tool with Codex under the name `shell_command` that accepts
    the following shape:
    
    ```python
    {
      command: str
      workdir: str | None,
      timeout_ms: int | None,
      with_escalated_permissions: bool | None,
      justification: str | None,
    }
    ```
    
    This is comparable to the existing tool registered under
    `shell`/`container.exec`. The primary difference is that it accepts
    `command` as a `str` instead of a `str[]`. The `shell_command` tool
    executes by running `execvp(["bash", "-lc", command])`, though the exact
    arguments to `execvp(3)` depend on the user's default shell.
    
    The hypothesis is that this will simplify things for the model. For
    example, on Windows, instead of generating:
    
    ```json
    {"command": ["pwsh.exe", "-NoLogo", "-Command", "ls -Name"]}
    ```
    
    The model could simply generate:
    
    ```json
    {"command": "ls -Name"}
    ```
    
    As part of this change, I extracted some logic out of `user_shell.rs` as
    `Shell::derive_exec_args()` so that it can be reused in
    `codex-rs/core/src/tools/handlers/shell.rs`. Note the original code
    generated exec arg lists like:
    
    ```javascript
    ["bash", "-lc", command]
    ["zsh", "-lc", command]
    ["pwsh.exe", "-NoProfile", "-Command", command]
    ```
    
    Using `-l` for Bash and Zsh, but then specifying `-NoProfile` for
    PowerShell seemed inconsistent to me, so I changed this in the new
    implementation while also adding a `use_login_shell: bool` option to
    make this explicit. If we decide to add a `login: bool` to
    `ShellCommandToolCallParams` like we have for unified exec:
    
    
    https://github.com/openai/codex/blob/807e2c27f0a9f2e85c50e7e6df5533f0d9b853c7/codex-rs/core/src/tools/handlers/unified_exec.rs#L33-L34
    
    Then this should make it straightforward to support.
  • Add unified exec escalation handling and tests (#6492)
    Similar implementation to the shell tool
  • Remove shell tool when unified exec is enabled (#6345)
    Also drop streameable shell that's just an alias for unified exec.
  • refactor Conversation history file into its own directory (#6229)
    This is just a refactor of `conversation_history` file by breaking it up
    into multiple smaller ones with helper. This refactor will help us move
    more functionality related to context management here. in a clean way.
  • feat: add the time after aborting (#5996)
    Tell the model how much time passed after the user aborted the call.
  • Changes to sandbox command assessment feature based on initial experiment feedback (#6091)
    * Removed sandbox risk categories; feedback indicates that these are not
    that useful and "less is more"
    * Tweaked the assessment prompt to generate terser answers
    * Fixed bug in orchestrator that prevents this feature from being
    exposed in the extension
  • Windows Sandbox - Alpha version (#4905)
    - Added the new codex-windows-sandbox crate that builds both a library
    entry point (run_windows_sandbox_capture) and a CLI executable to launch
    commands inside a Windows restricted-token sandbox, including ACL
    management, capability SID provisioning, network lockdown, and output
    capture
    (windows-sandbox-rs/src/lib.rs:167, windows-sandbox-rs/src/main.rs:54).
    - Introduced the experimental WindowsSandbox feature flag and wiring so
    Windows builds can opt into the sandbox:
    SandboxType::WindowsRestrictedToken, the in-process execution path, and
    platform sandbox selection now honor the flag (core/src/features.rs:47,
    core/src/config.rs:1224, core/src/safety.rs:19,
    core/src/sandboxing/mod.rs:69, core/src/exec.rs:79,
    core/src/exec.rs:172).
    - Updated workspace metadata to include the new crate and its
    Windows-specific dependencies so the core crate can link against it
    (codex-rs/
        Cargo.toml:91, core/Cargo.toml:86).
    - Added a PowerShell bootstrap script that installs the Windows
    toolchain, required CLI utilities, and builds the workspace to ease
    development
        on the platform (scripts/setup-windows.ps1:1).
    - Landed a Python smoke-test suite that exercises
    read-only/workspace-write policies, ACL behavior, and network denial for
    the Windows sandbox
        binary (windows-sandbox-rs/sandbox_smoketests.py:1).
  • feature: Add "!cmd" user shell execution (#2471)
    feature: Add "!cmd" user shell execution
    
    This change lets users run local shell commands directly from the TUI by
    prefixing their input with ! (e.g. !ls). Output is truncated to keep the
    exec cell usable, and Ctrl-C cleanly
      interrupts long-running commands (e.g. !sleep 10000).
    
    **Summary of changes**
    
    - Route Op::RunUserShellCommand through a dedicated UserShellCommandTask
    (core/src/tasks/user_shell.rs), keeping the task logic out of codex.rs.
    - Reuse the existing tool router: the task constructs a ToolCall for the
    local_shell tool and relies on ShellHandler, so no manual MCP tool
    lookup is required.
    - Emit exec lifecycle events (ExecCommandBegin/ExecCommandEnd) so the
    TUI can show command metadata, live output, and exit status.
    
    **End-to-end flow**
    
      **TUI handling**
    
    1. ChatWidget::submit_user_message (TUI) intercepts messages starting
    with !.
    2. Non-empty commands dispatch Op::RunUserShellCommand { command };
    empty commands surface a help hint.
    3. No UserInput items are created, so nothing is enqueued for the model.
    
      **Core submission loop**
    4. The submission loop routes the op to handlers::run_user_shell_command
    (core/src/codex.rs).
    5. A fresh TurnContext is created and Session::spawn_user_shell_command
    enqueues UserShellCommandTask.
    
      **Task execution**
    6. UserShellCommandTask::run emits TaskStartedEvent, formats the
    command, and prepares a ToolCall targeting local_shell.
      7. ToolCallRuntime::handle_tool_call dispatches to ShellHandler.
    
      **Shell tool runtime**
    8. ShellHandler::run_exec_like launches the process via the unified exec
    runtime, honoring sandbox and shell policies, and emits
    ExecCommandBegin/End.
    9. Stdout/stderr are captured for the UI, but the task does not turn the
    resulting ToolOutput into a model response.
    
      **Completion**
    10. After ExecCommandEnd, the task finishes without an assistant
    message; the session marks it complete and the exec cell displays the
    final output.
    
      **Conversation context**
    
    - The command and its output never enter the conversation history or the
    model prompt; the flow is local-only.
      - Only exec/task events are emitted for UI rendering.
    
    **Demo video**
    
    
    https://github.com/user-attachments/assets/fcd114b0-4304-4448-a367-a04c43e0b996
  • [MCP] Render MCP tool call result images to the model (#5600)
    It's pretty amazing we have gotten here without the ability for the
    model to see image content from MCP tool calls.
    
    This PR builds off of 4391 and fixes #4819. I would like @KKcorps to get
    adequete credit here but I also want to get this fix in ASAP so I gave
    him a week to update it and haven't gotten a response so I'm going to
    take it across the finish line.
    
    
    This test highlights how absured the current situation is. I asked the
    model to read this image using the Chrome MCP
    <img width="2378" height="674" alt="image"
    src="https://github.com/user-attachments/assets/9ef52608-72a2-4423-9f5e-7ae36b2b56e0"
    />
    
    After this change, it correctly outputs:
    > Captured the page: image dhows a dark terminal-style UI labeled
    `OpenAI Codex (v0.0.0)` with prompt `model: gpt-5-codex medium` and
    working directory `/codex/codex-rs`
    (and more)  
    
    Before this change, it said:
    > Took the full-page screenshot you asked for. It shows a long,
    horizontally repeating pattern of stylized people in orange, light-blue,
    and mustard clothing, holding hands in alternating poses against a white
    background. No text or other graphics-just rows of flat illustration
    stretching off to the right.
    
    Without this change, the Figma, Playwright, Chrome, and other visual MCP
    servers are pretty much entirely useless.
    
    I tested this change with the openai respones api as well as a third
    party completions api
  • Centralize truncation in conversation history (#5652)
    move the truncation logic to conversation history to use on any tool
    output. This will help us in avoiding edge cases while truncating the
    tool calls and mcp calls.
  • Added model summary and risk assessment for commands that violate sandbox policy (#5536)
    This PR adds support for a model-based summary and risk assessment for
    commands that violate the sandbox policy and require user approval. This
    aids the user in evaluating whether the command should be approved.
    
    The feature works by taking a failed command and passing it back to the
    model and asking it to summarize the command, give it a risk level (low,
    medium, high) and a risk category (e.g. "data deletion" or "data
    exfiltration"). It uses a new conversation thread so the context in the
    existing thread doesn't influence the answer. If the call to the model
    fails or takes longer than 5 seconds, it falls back to the current
    behavior.
    
    For now, this is an experimental feature and is gated by a config key
    `experimental_sandbox_command_assessment`.
    
    Here is a screen shot of the approval prompt showing the risk assessment
    and summary.
    
    <img width="723" height="282" alt="image"
    src="https://github.com/user-attachments/assets/4597dd7c-d5a0-4e9f-9d13-414bd082fd6b"
    />
  • Handle cancelling/aborting while processing a turn (#5543)
    Currently we collect all all turn items in a vector, then we add it to
    the history on success. This result in losing those items on errors
    including aborting `ctrl+c`.
    
    This PR:
    - Adds the ability for the tool call to handle cancellation
    - bubble the turn items up to where we are recording this info
    
    Admittedly, this logic is an ad-hoc logic that doesn't handle a lot of
    error edge cases. The right thing to do is recording to the history on
    the spot as `items`/`tool calls output` come. However, this isn't
    possible because of having different `task_kind` that has different
    `conversation_histories`. The `try_run_turn` has no idea what thread are
    we using. We cannot also pass an `arc` to the `conversation_histories`
    because it's a private element of `state`.
    
    That's said, `abort` is the most common case and we should cover it
    until we remove `task kind`
  • chore: clean handle_container_exec_with_params (#5516)
    Drop `handle_container_exec_with_params` to have simpler and more
    straight forward execution path
  • chore: align unified_exec (#5442)
    Align `unified_exec` with b implementation
  • Enable plan tool by default (#5384)
    ## Summary
    - make the plan tool available by default by removing the feature flag
    and always registering the handler
    - drop plan-tool CLI and API toggles across the exec, TUI, MCP server,
    and app server code paths
    - update tests and configs to reflect the always-on plan tool and guard
    workspace restriction tests against env leakage
    
    ## Testing
    Manually tested the extension. 
    ------
    https://chatgpt.com/codex/tasks/task_i_68f67a3ff2d083209562a773f814c1f9
  • Pass TurnContext around instead of sub_id (#5421)
    Today `sub_id` is an ID of a single incoming Codex Op submition. We then
    associate all events triggered by this operation using the same
    `sub_id`.
    
    At the same time we are also creating a TurnContext per submission and
    we'd like to start associating some events (item added/item completed)
    with an entire turn instead of just the operation that started it.
    
    Using turn context when sending events give us flexibility to change
    notification scheme.
  • Add ItemStarted/ItemCompleted events for UserInputItem (#5306)
    Adds a new ItemStarted event and delivers UserMessage as the first item
    type (more to come).
    
    
    Renames `InputItem` to `UserInput` considering we're using the `Item`
    suffix for actual items.
  • chore: rework tools execution workflow (#5278)
    Re-work the tool execution flow. Read `orchestrator.rs` to understand
    the structure
  • feat: better UX during refusal (#5260)
    <img width="568" height="169" alt="Screenshot 2025-10-16 at 18 28 05"
    src="https://github.com/user-attachments/assets/f42e8d6d-b7de-4948-b291-a5fbb50b1312"
    />
  • [MCP] Add support for resources (#5239)
    This PR adds support for [MCP
    resources](https://modelcontextprotocol.io/specification/2025-06-18/server/resources)
    by adding three new tools for the model:
    1. `list_resources`
    2. `list_resource_templates`
    3. `read_resource`
    
    These 3 tools correspond to the [three primary MCP resource protocol
    messages](https://modelcontextprotocol.io/specification/2025-06-18/server/resources#protocol-messages).
    
    Example of listing and reading a GitHub resource tempalte
    <img width="2984" height="804" alt="CleanShot 2025-10-15 at 17 31 10"
    src="https://github.com/user-attachments/assets/89b7f215-2e2a-41c5-90dd-b932ac84a585"
    />
    
    `/mcp` with Figma configured
    <img width="2984" height="442" alt="CleanShot 2025-10-15 at 18 29 35"
    src="https://github.com/user-attachments/assets/a7578080-2ed2-4c59-b9b4-d8461f90d8ee"
    />
    
    Fixes #4956
  • feat: feature flag (#4948)
    Add proper feature flag instead of having custom flags for everything.
    This is just for experimental/wip part of the code
    It can be used through CLI:
    ```bash
    codex --enable unified_exec --disable view_image_tool
    ```
    
    Or in the `config.toml`
    ```toml
    # Global toggles applied to every profile unless overridden.
    [features]
    apply_patch_freeform = true
    view_image_tool = false
    ```
    
    Follow-up:
    In a following PR, the goal is to have a default have `bundles` of
    features that we can associate to a model
  • feat: indentation mode for read_file (#4887)
    Add a read file that select the region of the file based on the
    indentation level
  • feat: grep_files as a tool (#4820)
    Add `grep_files` to be able to perform more action in parallel
  • feat: list_dir tool (#4817)
    Add a tool to list_dir. It is useful because we can mark it as
    non-mutating and so use it in parallel
  • Simplify parallel (#4829)
    make tool processing return a future and then collect futures.
    handle cleanup on Drop
  • feat: parallel tool calls (#4663)
    Add parallel tool calls. This is configurable at model level and tool
    level
  • chore: update tool config (#4755)
    ## Summary
    Updates tool config for gpt-5-codex
    
    ## Test Plan
    - [x] Ran locally
    - [x]  Updated unit tests
  • Add truncation hint on truncated exec output. (#4740)
    When truncating output, add a hint of the total number of lines
  • feat: Freeform apply_patch with simple shell output (#4718)
    ## Summary
    This PR is an alternative approach to #4711, but instead of changing our
    storage, parses out shell calls in the client and reserializes them on
    the fly before we send them out as part of the request.
    
    What this changes:
    1. Adds additional serialization logic when the
    ApplyPatchToolType::Freeform is in use.
    2. Adds a --custom-apply-patch flag to enable this setting on a
    session-by-session basis.
    
    This change is delicate, but is not meant to be permanent. It is meant
    to be the first step in a migration:
    1. (This PR) Add in-flight serialization with config
    2. Update model_family default
    3. Update serialization logic to store turn outputs in a structured
    format, with logic to serialize based on model_family setting.
    4. Remove this rewrite in-flight logic.
    
    ## Test Plan
    - [x] Additional unit tests added
    - [x] Integration tests added
    - [x] Tested locally
  • fix: exec commands that blows up context window. (#4706)
    We truncate the output of exec commands to not blow the context window.
    However, some cases we weren't doing that. This caused reports of people
    with 76% context window left facing `input exceeded context window`
    which is weird.
  • feat: add beta_supported_tools (#4669)
    Gate the new read_file tool behind a new `beta_supported_tools` flag and
    only enable it for `gpt-5-codex`