Commit Graph

77 Commits

  • 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: request user input tool (#9472)
    ### Summary
    * Add `requestUserInput` tool that the model can use for gather
    feedback/asking question mid turn.
    
    
    ### Tool input schema
    ```
    {
      "$schema": "http://json-schema.org/draft-07/schema#",
      "title": "requestUserInput input",
      "type": "object",
      "additionalProperties": false,
      "required": ["questions"],
      "properties": {
        "questions": {
          "type": "array",
          "description": "Questions to show the user (1-3). Prefer 1 unless multiple independent decisions block progress.",
          "minItems": 1,
          "maxItems": 3,
          "items": {
            "type": "object",
            "additionalProperties": false,
            "required": ["id", "header", "question"],
            "properties": {
              "id": {
                "type": "string",
                "description": "Stable identifier for mapping answers (snake_case)."
              },
              "header": {
                "type": "string",
                "description": "Short header label shown in the UI (12 or fewer chars)."
              },
              "question": {
                "type": "string",
                "description": "Single-sentence prompt shown to the user."
              },
              "options": {
                "type": "array",
                "description": "Optional 2-3 mutually exclusive choices. Put the recommended option first and suffix its label with \"(Recommended)\". Only include \"Other\" option if we want to include a free form option. If the question is free form in nature, do not include any option.",
                "minItems": 2,
                "maxItems": 3,
                "items": {
                  "type": "object",
                  "additionalProperties": false,
                  "required": ["value", "label", "description"],
                  "properties": {
                    "value": {
                      "type": "string",
                      "description": "Machine-readable value (snake_case)."
                    },
                    "label": {
                      "type": "string",
                      "description": "User-facing label (1-5 words)."
                    },
                    "description": {
                      "type": "string",
                      "description": "One short sentence explaining impact/tradeoff if selected."
                    }
                  }
                }
              }
            }
          }
        }
      }
    }
    ```
    
    ### Tool output schema
    ```
    {
      "$schema": "http://json-schema.org/draft-07/schema#",
      "title": "requestUserInput output",
      "type": "object",
      "additionalProperties": false,
      "required": ["answers"],
      "properties": {
        "answers": {
          "type": "object",
          "description": "Map of question id to user answer.",
          "additionalProperties": {
            "type": "object",
            "additionalProperties": false,
            "required": ["selected"],
            "properties": {
              "selected": {
                "type": "array",
                "items": { "type": "string" }
              },
              "other": {
                "type": ["string", "null"]
              }
            }
          }
        }
      }
    }
    ```
  • feat: emit events around collab tools (#9095)
    Emit the following events around the collab tools. On the `app-server`
    this will be under `item/started` and `item/completed`
    ```
    #[derive(Debug, Clone, Deserialize, Serialize, PartialEq, JsonSchema, TS)]
    pub struct CollabAgentSpawnBeginEvent {
        /// Identifier for the collab tool call.
        pub call_id: String,
        /// Thread ID of the sender.
        pub sender_thread_id: ThreadId,
        /// Initial prompt sent to the agent. Can be empty to prevent CoT leaking at the
        /// beginning.
        pub prompt: String,
    }
    
    #[derive(Debug, Clone, Deserialize, Serialize, PartialEq, JsonSchema, TS)]
    pub struct CollabAgentSpawnEndEvent {
        /// Identifier for the collab tool call.
        pub call_id: String,
        /// Thread ID of the sender.
        pub sender_thread_id: ThreadId,
        /// Thread ID of the newly spawned agent, if it was created.
        pub new_thread_id: Option<ThreadId>,
        /// Initial prompt sent to the agent. Can be empty to prevent CoT leaking at the
        /// beginning.
        pub prompt: String,
        /// Last known status of the new agent reported to the sender agent.
        pub status: AgentStatus,
    }
    
    #[derive(Debug, Clone, Deserialize, Serialize, PartialEq, JsonSchema, TS)]
    pub struct CollabAgentInteractionBeginEvent {
        /// Identifier for the collab tool call.
        pub call_id: String,
        /// Thread ID of the sender.
        pub sender_thread_id: ThreadId,
        /// Thread ID of the receiver.
        pub receiver_thread_id: ThreadId,
        /// Prompt sent from the sender to the receiver. Can be empty to prevent CoT
        /// leaking at the beginning.
        pub prompt: String,
    }
    
    #[derive(Debug, Clone, Deserialize, Serialize, PartialEq, JsonSchema, TS)]
    pub struct CollabAgentInteractionEndEvent {
        /// Identifier for the collab tool call.
        pub call_id: String,
        /// Thread ID of the sender.
        pub sender_thread_id: ThreadId,
        /// Thread ID of the receiver.
        pub receiver_thread_id: ThreadId,
        /// Prompt sent from the sender to the receiver. Can be empty to prevent CoT
        /// leaking at the beginning.
        pub prompt: String,
        /// Last known status of the receiver agent reported to the sender agent.
        pub status: AgentStatus,
    }
    
    #[derive(Debug, Clone, Deserialize, Serialize, PartialEq, JsonSchema, TS)]
    pub struct CollabWaitingBeginEvent {
        /// Thread ID of the sender.
        pub sender_thread_id: ThreadId,
        /// Thread ID of the receiver.
        pub receiver_thread_id: ThreadId,
        /// ID of the waiting call.
        pub call_id: String,
    }
    
    #[derive(Debug, Clone, Deserialize, Serialize, PartialEq, JsonSchema, TS)]
    pub struct CollabWaitingEndEvent {
        /// Thread ID of the sender.
        pub sender_thread_id: ThreadId,
        /// Thread ID of the receiver.
        pub receiver_thread_id: ThreadId,
        /// ID of the waiting call.
        pub call_id: String,
        /// Last known status of the receiver agent reported to the sender agent.
        pub status: AgentStatus,
    }
    
    #[derive(Debug, Clone, Deserialize, Serialize, PartialEq, JsonSchema, TS)]
    pub struct CollabCloseBeginEvent {
        /// Identifier for the collab tool call.
        pub call_id: String,
        /// Thread ID of the sender.
        pub sender_thread_id: ThreadId,
        /// Thread ID of the receiver.
        pub receiver_thread_id: ThreadId,
    }
    
    #[derive(Debug, Clone, Deserialize, Serialize, PartialEq, JsonSchema, TS)]
    pub struct CollabCloseEndEvent {
        /// Identifier for the collab tool call.
        pub call_id: String,
        /// Thread ID of the sender.
        pub sender_thread_id: ThreadId,
        /// Thread ID of the receiver.
        pub receiver_thread_id: ThreadId,
        /// Last known status of the receiver agent reported to the sender agent before
        /// the close.
        pub status: AgentStatus,
    }
    ```
  • 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.
  • [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"
    />
  • Add public skills + improve repo skill discovery and error UX (#8098)
    1. Adds SkillScope::Public end-to-end (core + protocol) and loads skills
    from the public cache directory
    2. Improves repo skill discovery by searching upward for the nearest
    .codex/skills within a git repo
    3. Deduplicates skills by name with deterministic ordering to avoid
    duplicates across sources
    4. Fixes garbled “Skill errors” overlay rendering by preventing pending
    history lines from being injected during the modal
    5. Updates the project docs “Skills” intro wording to avoid hardcoded
    paths
  • 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.
  • 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
  • Migrate model preset (#7542)
    - Introduce `openai_models` in `/core`
    - Move `PRESETS` under it
    - Move `ModelPreset`, `ModelUpgrade`, `ReasoningEffortPreset`,
    `ReasoningEffortPreset`, and `ReasoningEffortPreset` to `protocol`
    - Introduce `Op::ListModels` and `EventMsg::AvailableModels`
    
    Next steps:
    - migrate `app-server` and `tui` to use the introduced Operation
  • support MCP elicitations (#6947)
    No support for request schema yet, but we'll at least show the message
    and allow accept/decline.
    
    <img width="823" height="551" alt="Screenshot 2025-11-21 at 2 44 05 PM"
    src="https://github.com/user-attachments/assets/6fbb892d-ca12-4765-921e-9ac4b217534d"
    />
  • [app-server & core] introduce new codex error code and v2 app-server error events (#6938)
    This PR does two things:
    1. populate a new `codex_error_code` protocol in error events sent from
    core to client;
    2. old v1 core events `codex/event/stream_error` and `codex/event/error`
    will now both become `error`. We also show codex error code for
    turncompleted -> error status.
    
    new events in app server test:
    ```
    < {
    <   "method": "codex/event/stream_error",
    <   "params": {
    <     "conversationId": "019aa34c-0c14-70e0-9706-98520a760d67",
    <     "id": "0",
    <     "msg": {
    <       "codex_error_code": {
    <         "response_stream_disconnected": {
    <           "http_status_code": 401
    <         }
    <       },
    <       "message": "Reconnecting... 2/5",
    <       "type": "stream_error"
    <     }
    <   }
    < }
    
     {
    <   "method": "error",
    <   "params": {
    <     "error": {
    <       "codexErrorCode": {
    <         "responseStreamDisconnected": {
    <           "httpStatusCode": 401
    <         }
    <       },
    <       "message": "Reconnecting... 2/5"
    <     }
    <   }
    < }
    
    < {
    <   "method": "turn/completed",
    <   "params": {
    <     "turn": {
    <       "error": {
    <         "codexErrorCode": {
    <           "responseTooManyFailedAttempts": {
    <             "httpStatusCode": 401
    <           }
    <         },
    <         "message": "exceeded retry limit, last status: 401 Unauthorized, request id: 9a1b495a1a97ed3e-SJC"
    <       },
    <       "id": "0",
    <       "items": [],
    <       "status": "failed"
    <     }
    <   }
    < }
    ```
  • [app-server] feat: v2 apply_patch approval flow (#6760)
    This PR adds the API V2 version of the apply_patch approval flow, which
    centers around `ThreadItem::FileChange`.
    
    This PR wires the new RPC (`item/fileChange/requestApproval`, V2 only)
    and related events (`item/started`, `item/completed` for
    `ThreadItem::FileChange`, which are emitted in both V1 and V2) through
    the app-server
    protocol. The new approval RPC is only sent when the user initiates a
    turn with the new `turn/start` API so we don't break backwards
    compatibility with VSCE.
    
    Similar to https://github.com/openai/codex/pull/6758, the approach I
    took was to make as few changes to the Codex core as possible,
    leveraging existing `EventMsg` core events, and translating those in
    app-server. I did have to add a few additional fields to
    `EventMsg::PatchApplyBegin` and `EventMsg::PatchApplyEnd`, but those
    were fairly lightweight.
    
    However, the `EventMsg`s emitted by core are the following:
    ```
    1) Auto-approved (no request for approval)

    - EventMsg::PatchApplyBegin
    - EventMsg::PatchApplyEnd
    
    2) Approved by user
    - EventMsg::ApplyPatchApprovalRequest
    - EventMsg::PatchApplyBegin
    - EventMsg::PatchApplyEnd
    
    3) Declined by user
    - EventMsg::ApplyPatchApprovalRequest
    - EventMsg::PatchApplyBegin
    - EventMsg::PatchApplyEnd
    ```
    
    For a request triggering an approval, this would result in:
    ```
    item/fileChange/requestApproval
    item/started
    item/completed
    ```
    
    which is different from the `ThreadItem::CommandExecution` flow
    introduced in https://github.com/openai/codex/pull/6758, which does the
    below and is preferable:
    ```
    item/started
    item/commandExecution/requestApproval
    item/completed
    ```
    
    To fix this, we leverage `TurnSummaryStore` on codex_message_processor
    to store a little bit of state, allowing us to fire `item/started` and
    `item/fileChange/requestApproval` whenever we receive the underlying
    `EventMsg::ApplyPatchApprovalRequest`, and no-oping when we receive the
    `EventMsg::PatchApplyBegin` later.
    
    This is much less invasive than modifying the order of EventMsg within
    core (I tried).
    
    The resulting payloads:
    ```
    {
      "method": "item/started",
      "params": {
        "item": {
          "changes": [
            {
              "diff": "Hello from Codex!\n",
              "kind": "add",
              "path": "/Users/owen/repos/codex/codex-rs/APPROVAL_DEMO.txt"
            }
          ],
          "id": "call_Nxnwj7B3YXigfV6Mwh03d686",
          "status": "inProgress",
          "type": "fileChange"
        }
      }
    }
    ```
    
    ```
    {
      "id": 0,
      "method": "item/fileChange/requestApproval",
      "params": {
        "grantRoot": null,
        "itemId": "call_Nxnwj7B3YXigfV6Mwh03d686",
        "reason": null,
        "threadId": "019a9e11-8295-7883-a283-779e06502c6f",
        "turnId": "1"
      }
    }
    ```
    
    ```
    {
      "id": 0,
      "result": {
        "decision": "accept"
      }
    }
    ```
    
    ```
    {
      "method": "item/completed",
      "params": {
        "item": {
          "changes": [
            {
              "diff": "Hello from Codex!\n",
              "kind": "add",
              "path": "/Users/owen/repos/codex/codex-rs/APPROVAL_DEMO.txt"
            }
          ],
          "id": "call_Nxnwj7B3YXigfV6Mwh03d686",
          "status": "completed",
          "type": "fileChange"
        }
      }
    }
    ```
  • Revert "[core] add optional status_code to error events (#6865)" (#6955)
    This reverts commit c2ec477d93.
    
    # 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.
  • [core] add optional status_code to error events (#6865)
    We want to better uncover error status code for clients. Add an optional
    status_code to error events (thread error, error, stream error) so app
    server could uncover the status code from the client side later.
    
    in event log:
    ```
    < {
    <   "method": "codex/event/stream_error",
    <   "params": {
    <     "conversationId": "019a9a32-f576-7292-9711-8e57e8063536",
    <     "id": "0",
    <     "msg": {
    <       "message": "Reconnecting... 5/5",
    <       "status_code": 401,
    <       "type": "stream_error"
    <     }
    <   }
    < }
    < {
    <   "method": "codex/event/error",
    <   "params": {
    <     "conversationId": "019a9a32-f576-7292-9711-8e57e8063536",
    <     "id": "0",
    <     "msg": {
    <       "message": "exceeded retry limit, last status: 401 Unauthorized, request id: 9a0cb03a485067f7-SJC",
    <       "status_code": 401,
    <       "type": "error"
    <     }
    <   }
    < }
    ```
  • fix: add more fields to ThreadStartResponse and ThreadResumeResponse (#6847)
    This adds the following fields to `ThreadStartResponse` and
    `ThreadResumeResponse`:
    
    ```rust
        pub model: String,
        pub model_provider: String,
        pub cwd: PathBuf,
        pub approval_policy: AskForApproval,
        pub sandbox: SandboxPolicy,
        pub reasoning_effort: Option<ReasoningEffort>,
    ```
    
    This is important because these fields are optional in
    `ThreadStartParams` and `ThreadResumeParams`, so the caller needs to be
    able to determine what values were ultimately used to start/resume the
    conversation. (Though note that any of these could be changed later
    between turns in the conversation.)
    
    Though to get this information reliably, it must be read from the
    internal `SessionConfiguredEvent` that is created in response to the
    start of a conversation. Because `SessionConfiguredEvent` (as defined in
    `codex-rs/protocol/src/protocol.rs`) did not have all of these fields, a
    number of them had to be added as part of this PR.
    
    Because `SessionConfiguredEvent` is referenced in many tests, test
    instances of `SessionConfiguredEvent` had to be updated, as well, which
    is why this PR touches so many files.
  • core/tui: non-blocking MCP startup (#6334)
    This makes MCP startup not block TUI startup. Messages sent while MCPs
    are booting will be queued.
    
    
    https://github.com/user-attachments/assets/96e1d234-5d8f-4932-a935-a675d35c05e0
    
    
    Fixes #6317
    
    ---------
    
    Co-authored-by: pakrym-oai <pakrym@openai.com>
  • Add warning on compact (#6052)
    This PR introduces the ability for `core` to send `warnings` as it can
    send `errors. It also sends a warning on compaction.
    
    <img width="811" height="187" alt="image"
    src="https://github.com/user-attachments/assets/0947a42d-b720-420d-b7fd-115f8a65a46a"
    />
  • Add item streaming events (#5546)
    Adds AgentMessageContentDelta, ReasoningContentDelta,
    ReasoningRawContentDelta item streaming events while maintaining
    compatibility for old events.
    
    ---------
    
    Co-authored-by: Owen Lin <owen@openai.com>
  • feat: deprecation warning (#5825)
    <img width="955" height="311" alt="Screenshot 2025-10-28 at 14 26 25"
    src="https://github.com/user-attachments/assets/99729b3d-3bc9-4503-aab3-8dc919220ab4"
    />
  • 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.
  • revert /name for now (#4978)
    There was a regression where we'd read entire rollout contents if there
    was no /name present.
  • feat: Set chat name (#4974)
    Set chat name with `/name` so they appear in the codex resume page:
    
    
    https://github.com/user-attachments/assets/c0252bba-3a53-44c7-a740-f4690a3ad405
  • feat: codex exec writes only the final message to stdout (#4644)
    This updates `codex exec` so that, by default, most of the agent's
    activity is written to stderr so that only the final agent message is
    written to stdout. This makes it easier to pipe `codex exec` into
    another tool without extra filtering.
    
    I introduced `#![deny(clippy::print_stdout)]` to help enforce this
    change and renamed the `ts_println!()` macro to `ts_msg()` because (1)
    it no longer calls `println!()` and (2), `ts_eprintln!()` seemed too
    long of a name.
    
    While here, this also adds `-o` as an alias for `--output-last-message`.
    
    Fixes https://github.com/openai/codex/issues/1670
  • chore: refactor tool handling (#4510)
    # Tool System Refactor
    
    - Centralizes tool definitions and execution in `core/src/tools/*`:
    specs (`spec.rs`), handlers (`handlers/*`), router (`router.rs`),
    registry/dispatch (`registry.rs`), and shared context (`context.rs`).
    One registry now builds the model-visible tool list and binds handlers.
    - Router converts model responses to tool calls; Registry dispatches
    with consistent telemetry via `codex-rs/otel` and unified error
    handling. Function, Local Shell, MCP, and experimental `unified_exec`
    all flow through this path; legacy shell aliases still work.
    - Rationale: reduce per‑tool boilerplate, keep spec/handler in sync, and
    make adding tools predictable and testable.
    
    Example: `read_file`
    - Spec: `core/src/tools/spec.rs` (see `create_read_file_tool`,
    registered by `build_specs`).
    - Handler: `core/src/tools/handlers/read_file.rs` (absolute `file_path`,
    1‑indexed `offset`, `limit`, `L#: ` prefixes, safe truncation).
    - E2E test: `core/tests/suite/read_file.rs` validates the tool returns
    the requested lines.
    
    ## Next steps:
    - Decompose `handle_container_exec_with_params` 
    - Add parallel tool calls
  • Add explicit codex exec events (#4177)
    This pull request add a new experimental format of JSON output.
    
    You can try it using `codex exec --experimental-json`.
    
    Design takes a lot of inspiration from Responses API items and stream
    format.
    
    # Session and items
    Each invocation of `codex exec` starts or resumes a session. 
    
    Session contains multiple high-level item types:
    1. Assistant message 
    2. Assistant thinking 
    3. Command execution 
    4. File changes
    5. To-do lists
    6. etc.
    
    # Events 
    Session and items are going through their life cycles which is
    represented by events.
    
    Session is `session.created` or `session.resumed`
    Items are `item.added`, `item.updated`, `item.completed`,
    `item.require_approval` (or other item types like `item.output_delta`
    when we need streaming).
    
    So a typical session can look like:
    
    <details>
    
    ```
    {
      "type": "session.created",
      "session_id": "01997dac-9581-7de3-b6a0-1df8256f2752"
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_0",
        "item_type": "assistant_message",
        "text": "I’ll locate the top-level README and remove its first line. Then I’ll show a quick summary of what changed."
      }
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_1",
        "item_type": "command_execution",
        "command": "bash -lc ls -la | sed -n '1,200p'",
        "aggregated_output": "pyenv: cannot rehash: /Users/pakrym/.pyenv/shims isn't writable\ntotal 192\ndrwxr-xr-x@  33 pakrym  staff   1056 Sep 24 14:36 .\ndrwxr-xr-x   41 pakrym  staff   1312 Sep 24 09:17 ..\n-rw-r--r--@   1 pakrym  staff      6 Jul  9 16:16 .codespellignore\n-rw-r--r--@   1 pakrym  staff    258 Aug 13 09:40 .codespellrc\ndrwxr-xr-x@   5 pakrym  staff    160 Jul 23 08:26 .devcontainer\n-rw-r--r--@   1 pakrym  staff   6148 Jul 22 10:03 .DS_Store\ndrwxr-xr-x@  15 pakrym  staff    480 Sep 24 14:38 .git\ndrwxr-xr-x@  12 pakrym  staff    384 Sep  2 16:00 .github\n-rw-r--r--@   1 pakrym  staff    778 Jul  9 16:16 .gitignore\ndrwxr-xr-x@   3 pakrym  staff     96 Aug 11 09:37 .husky\n-rw-r--r--@   1 pakrym  staff    104 Jul  9 16:16 .npmrc\n-rw-r--r--@   1 pakrym  staff     96 Sep  2 08:52 .prettierignore\n-rw-r--r--@   1 pakrym  staff    170 Jul  9 16:16 .prettierrc.toml\ndrwxr-xr-x@   5 pakrym  staff    160 Sep 14 17:43 .vscode\ndrwxr-xr-x@   2 pakrym  staff     64 Sep 11 11:37 2025-09-11\n-rw-r--r--@   1 pakrym  staff   5505 Sep 18 09:28 AGENTS.md\n-rw-r--r--@   1 pakrym  staff     92 Sep  2 08:52 CHANGELOG.md\n-rw-r--r--@   1 pakrym  staff   1145 Jul  9 16:16 cliff.toml\ndrwxr-xr-x@  11 pakrym  staff    352 Sep 24 13:03 codex-cli\ndrwxr-xr-x@  38 pakrym  staff   1216 Sep 24 14:38 codex-rs\ndrwxr-xr-x@  18 pakrym  staff    576 Sep 23 11:01 docs\n-rw-r--r--@   1 pakrym  staff   2038 Jul  9 16:16 flake.lock\n-rw-r--r--@   1 pakrym  staff   1434 Jul  9 16:16 flake.nix\n-rw-r--r--@   1 pakrym  staff  10926 Jul  9 16:16 LICENSE\ndrwxr-xr-x@ 465 pakrym  staff  14880 Jul 15 07:36 node_modules\n-rw-r--r--@   1 pakrym  staff    242 Aug  5 08:25 NOTICE\n-rw-r--r--@   1 pakrym  staff    578 Aug 14 12:31 package.json\n-rw-r--r--@   1 pakrym  staff    498 Aug 11 09:37 pnpm-lock.yaml\n-rw-r--r--@   1 pakrym  staff     58 Aug 11 09:37 pnpm-workspace.yaml\n-rw-r--r--@   1 pakrym  staff   2402 Jul  9 16:16 PNPM.md\n-rw-r--r--@   1 pakrym  staff   4393 Sep 12 14:36 README.md\ndrwxr-xr-x@   4 pakrym  staff    128 Sep 18 09:28 scripts\ndrwxr-xr-x@   2 pakrym  staff     64 Sep 11 11:34 tmp\n",
        "exit_code": 0,
        "status": "completed"
      }
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_2",
        "item_type": "reasoning",
        "text": "**Reviewing README.md file**\n\nI've located the README.md file at the root, and it’s 4393 bytes. Now, I need to remove the first line, but first, I should check its content to make sure I’m patching it correctly. I’ll use sed to display the first 20 lines. By reviewing those lines, I can determine exactly what needs to be removed before I proceed with the editing. Let's do this carefully!"
      }
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_3",
        "item_type": "command_execution",
        "command": "bash -lc sed -n '1,40p' README.md",
        "aggregated_output": "<h1 align=\"center\">OpenAI Codex CLI</h1>\n\n<p align=\"center\"><code>npm i -g @openai/codex</code><br />or <code>brew install codex</code></p>\n\n<p align=\"center\"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer.\n</br>\n</br>If you want Codex in your code editor (VS Code, Cursor, Windsurf), <a href=\"https://developers.openai.com/codex/ide\">install in your IDE</a>\n</br>If you are looking for the <em>cloud-based agent</em> from OpenAI, <strong>Codex Web</strong>, go to <a href=\"https://chatgpt.com/codex\">chatgpt.com/codex</a></p>\n\n<p align=\"center\">\n  <img src=\"./.github/codex-cli-splash.png\" alt=\"Codex CLI splash\" width=\"80%\" />\n  </p>\n\n---\n\n## Quickstart\n\n### Installing and running Codex CLI\n\nInstall globally with your preferred package manager. If you use npm:\n\n```shell\nnpm install -g @openai/codex\n```\n\nAlternatively, if you use Homebrew:\n\n```shell\nbrew install codex\n```\n\nThen simply run `codex` to get started:\n\n```shell\ncodex\n```\n\n<details>\n<summary>You can also go to the <a href=\"https://github.com/openai/codex/releases/latest\">latest GitHub Release</a> and download the appropriate binary for your platform.</summary>\n\n",
        "exit_code": 0,
        "status": "completed"
      }
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_4",
        "item_type": "reasoning",
        "text": "**Updating README file**\n\nThe user wants to update the README by removing the first line, which is an HTML h1 tag. I'll proceed to delete that line while keeping the rest intact. To do this, I need to use the apply_patch tool and create a patch in the diff format. I’ll take care to include context lines around the change. After removing the header, I’m considering whether to delete the following blank line as well to keep it tidy."
      }
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_5",
        "item_type": "reasoning",
        "text": "**Crafting the patch**\n\nThe user has asked to remove just the first line, without mentioning the blank lines. Technically, leaving a blank line at the start is acceptable, but it's not ideal. Ideally, I'd prefer to remove the first line while maintaining the subsequent blank line. However, if I can also remove that blank line, it could tidy things up even more. Still, since the user's request is strictly to remove only the first line, I'll stick to that and craft the patch accordingly."
      }
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_6",
        "item_type": "assistant_message",
        "text": "Applying the change by removing the first line from `README.md`."
      }
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_7",
        "item_type": "file_change",
        "changes": [
          {
            "path": "/Users/pakrym/code/codex/README.md",
            "kind": "update"
          }
        ],
        "status": "completed"
      }
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_8",
        "item_type": "reasoning",
        "text": "**Validating README Update**\n\nI updated the README.md and now I need to validate that the first line has been successfully removed. To do this, I'll check the first 10 lines of the document to ensure everything looks correct. It’s always good to double-check these kinds of changes, so I’m going to take that extra step to make sure the update was executed properly. Let's see what those initial lines say!"
      }
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_9",
        "item_type": "command_execution",
        "command": "bash -lc sed -n '1,20p' README.md",
        "aggregated_output": "\n<p align=\"center\"><code>npm i -g @openai/codex</code><br />or <code>brew install codex</code></p>\n\n<p align=\"center\"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer.\n</br>\n</br>If you want Codex in your code editor (VS Code, Cursor, Windsurf), <a href=\"https://developers.openai.com/codex/ide\">install in your IDE</a>\n</br>If you are looking for the <em>cloud-based agent</em> from OpenAI, <strong>Codex Web</strong>, go to <a href=\"https://chatgpt.com/codex\">chatgpt.com/codex</a></p>\n\n<p align=\"center\">\n  <img src=\"./.github/codex-cli-splash.png\" alt=\"Codex CLI splash\" width=\"80%\" />\n  </p>\n\n---\n\n## Quickstart\n\n### Installing and running Codex CLI\n\nInstall globally with your preferred package manager. If you use npm:\n\n",
        "exit_code": 0,
        "status": "completed"
      }
    }
    {
      "type": "item.completed",
      "item": {
        "id": "itm_10",
        "item_type": "assistant_message",
        "text": "- Updated `README.md:1` by removing the opening H1 line.\n- The README now starts with the install instructions paragraph.\n\nWant me to also remove the leading blank line at the top?"
      }
    }
    ```
    
    </details>
    
    The idea is to give users fully formatted items they can use directly in
    their rendering/application logic and avoid having them building up
    items manually based on events (unless they want to for streaming).
    
    This PR implements only the `item.completed` payload for some event
    types, more event types and item types to come.
    
    ---------
    
    Co-authored-by: Michael Bolin <mbolin@openai.com>
  • [exec] add include-plan-tool flag and print it nicely (#3461)
    ### Summary
    Sometimes in exec runs, we want to allow the model to use the
    `update_plan` tool, but that's not easily configurable. This change adds
    a feature flag for this, and formats the output so it's human-readable
    
    ## Test Plan
    <img width="1280" height="354" alt="Screenshot 2025-09-11 at 12 39
    44 AM"
    src="https://github.com/user-attachments/assets/72e11070-fb98-47f5-a784-5123ca7333d9"
    />
  • chore: clippy on redundant closure (#4058)
    Add redundant closure clippy rules and let Codex fix it by minimising
    FQP
  • feat: /review (#3774)
    Adds `/review` action in TUI
    
    <img width="637" height="370" alt="Screenshot 2025-09-17 at 12 41 19 AM"
    src="https://github.com/user-attachments/assets/b1979a6e-844a-4b97-ab20-107c185aec1d"
    />
  • Review Mode (Core) (#3401)
    ## 📝 Review Mode -- Core
    
    This PR introduces the Core implementation for Review mode:
    
    - New op `Op::Review { prompt: String }:` spawns a child review task
    with isolated context, a review‑specific system prompt, and a
    `Config.review_model`.
    - `EnteredReviewMode`: emitted when the child review session starts.
    Every event from this point onwards reflects the review session.
    - `ExitedReviewMode(Option<ReviewOutputEvent>)`: emitted when the review
    finishes or is interrupted, with optional structured findings:
    
    ```json
    {
      "findings": [
        {
          "title": "<≤ 80 chars, imperative>",
          "body": "<valid Markdown explaining *why* this is a problem; cite files/lines/functions>",
          "confidence_score": <float 0.0-1.0>,
          "priority": <int 0-3>,
          "code_location": {
            "absolute_file_path": "<file path>",
            "line_range": {"start": <int>, "end": <int>}
          }
        }
      ],
      "overall_correctness": "patch is correct" | "patch is incorrect",
      "overall_explanation": "<1-3 sentence explanation justifying the overall_correctness verdict>",
      "overall_confidence_score": <float 0.0-1.0>
    }
    ```
    
    ## Questions
    
    ### Why separate out its own message history?
    
    We want the review thread to match the training of our review models as
    much as possible -- that means using a custom prompt, removing user
    instructions, and starting a clean chat history.
    
    We also want to make sure the review thread doesn't leak into the parent
    thread.
    
    ### Why do this as a mode, vs. sub-agents?
    
    1. We want review to be a synchronous task, so it's fine for now to do a
    bespoke implementation.
    2. We're still unclear about the final structure for sub-agents. We'd
    prefer to land this quickly and then refactor into sub-agents without
    rushing that implementation.
  • feat: include reasoning_effort in NewConversationResponse (#3506)
    `ClientRequest::NewConversation` picks up the reasoning level from the user's defaults in `config.toml`, so it should be reported in `NewConversationResponse`.
  • chore: enable clippy::redundant_clone (#3489)
    Created this PR by:
    
    - adding `redundant_clone` to `[workspace.lints.clippy]` in
    `cargo-rs/Cargol.toml`
    - running `cargo clippy --tests --fix`
    - running `just fmt`
    
    Though I had to clean up one instance of the following that resulted:
    
    ```rust
    let codex = codex;
    ```
  • Change forking to read the rollout from file (#3440)
    This PR changes get history op to get path. Then, forking will use a
    path. This will help us have one unified codepath for resuming/forking
    conversations. Will also help in having rollout history in order. It
    also fixes a bug where you won't see the UI when resuming after forking.
  • fix: include rollout_path in NewConversationResponse (#3352)
    Adding the `rollout_path` to the `NewConversationResponse` makes it so a
    client can perform subsequent operations on a `(ConversationId,
    PathBuf)` pair. #3353 will introduce support for `ArchiveConversation`.
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/3352).
    * #3353
    * __->__ #3352
  • Format large numbers in a more readable way. (#2046)
    - In the bottom line of the TUI, print the number of tokens to 3 sigfigs
      with an SI suffix, e.g. "1.23K".
    - Elsewhere where we print a number, I figure it's worthwhile to print
      the exact number, because e.g. it's a summary of your session. Here we print
      the numbers comma-separated.
  • Use ConversationId instead of raw Uuids (#3282)
    We're trying to migrate from `session_id: Uuid` to `conversation_id:
    ConversationId`. Not only does this give us more type safety but it
    unifies our terminology across Codex and with the implementation of
    session resuming, a conversation (which can span multiple sessions) is
    more appropriate.
    
    I started this impl on https://github.com/openai/codex/pull/3219 as part
    of getting resume working in the extension but it's big enough that it
    should be broken out.
  • Move token usage/context information to session level (#3221)
    Move context information into the main loop so it can be used to
    interrupt the loop or start auto-compaction.
  • 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.