Commit Graph

10 Commits

  • core: surface terminal subagent errors to parent agents (#28375)
    ## Why
    
    When a subagent exhausts its retries, it emits an `Error`, but the
    generic task lifecycle then emits `TurnComplete(None)`. That completion
    used to overwrite the subagent's `Errored` status with
    `Completed(None)`, so the parent received an empty completion
    notification.
    
    This made a failed child look indistinguishable from a child that
    completed without an answer. In unattended or long-running multi-agent
    work, the root could silently continue without knowing that delegated
    work failed or how to restart it.
    
    ## Behavior
    
    Before, a terminal stream failure was reduced to an empty completion:
    
    ```text
    <subagent_notification>
    {"agent_path":"/root/worker","status":{"completed":null}}
    </subagent_notification>
    ```
    
    Now the parent receives the actual terminal error, bounded to 1,000
    tokens, together with an actionable recovery hint:
    
    ```text
    <subagent_notification>
    {
      "agent_path": "/root/worker",
      "status": {
        "errored": "stream disconnected before completion: stream closed before response.completed"
      },
      "next_action": "This agent's turn failed. If you still need this agent, use `followup_task` to give it another task."
    }
    </subagent_notification>
    ```
    
    The notification remains queue-only: it does not wake the root or replay
    the failed request. The root sees it at the next sampling boundary and
    can use `followup_task` to start a new turn for that agent.
    
    ## What changed
    
    - Added terminal-error precedence to the [agent status
    reducer](https://github.com/openai/codex/blob/e95fcfe2bb6a02f1a75650afa20048859f556511/codex-rs/core/src/agent/status.rs#L23-L34),
    so a closing `TurnComplete` cannot erase an immediately preceding
    `Errored` status.
    - Made MultiAgentV2 completion forwarding use the retained session
    status instead of re-deriving `Completed(None)` from the final event.
    - Extended the [subagent notification
    fragment](https://github.com/openai/codex/blob/e95fcfe2bb6a02f1a75650afa20048859f556511/codex-rs/core/src/context/subagent_notification.rs#L6-L60)
    with a `next_action` for terminal errors and a hard cap on model-visible
    error text.
    - Kept successful completions and interrupted turns unchanged.
    
    ## Verification
    
    - Added a status-reducer test proving that `Errored` survives the
    trailing `TurnComplete`.
    - Added an integration test that exhausts a subagent's stream retries
    and verifies the exact `agent_message` delivered to the parent,
    including the error and `followup_task` guidance.
    - Re-ran the existing successful-completion and interrupted-turn
    notification tests.
  • feat: render typed envelopes for multi-agent v2 messages (#28368)
    ## Why
    
    Multi-agent v2 messages need a consistent, model-visible envelope that
    identifies what kind of interaction occurred, who sent it, and which
    agent it targets. Previously, encrypted deliveries exposed only
    `encrypted_content`, while child completion used the legacy
    `<subagent_notification>` shape. That meant the client could not
    consistently present `NEW_TASK`, `MESSAGE`, and `FINAL_ANSWER` using the
    same format.
    
    This change adds the routing envelope as plaintext while keeping task
    and message payloads encrypted. No new Responses API field is required:
    an encrypted delivery is represented as an `input_text` header
    immediately followed by its existing `encrypted_content` item.
    
    Every envelope now follows this shape:
    
    ```text
    Message Type: <NEW_TASK | MESSAGE | FINAL_ANSWER>
    Task name: <recipient agent path>
    Sender: <author agent path>
    Payload:
    <message payload>
    ```
    
    ## Message types
    
    ### `NEW_TASK`
    
    `NEW_TASK` is used when the recipient should begin a new turn, including
    an initial `spawn_agent` task and a later `followup_task`.
    
    For a root agent spawning `/root/worker`, the request contains a
    plaintext envelope followed by the encrypted task:
    
    ```json
    {
      "type": "agent_message",
      "author": "/root",
      "recipient": "/root/worker",
      "content": [
        {
          "type": "input_text",
          "text": "Message Type: NEW_TASK\nTask name: /root/worker\nSender: /root\nPayload:\n"
        },
        {
          "type": "encrypted_content",
          "encrypted_content": "<encrypted task payload>"
        }
      ]
    }
    ```
    
    Conceptually, the model receives:
    
    ```text
    Message Type: NEW_TASK
    Task name: /root/worker
    Sender: /root
    Payload:
    Review the authentication changes and report any regressions.
    ```
    
    ### `MESSAGE`
    
    `MESSAGE` is used for a queued `send_message` delivery. It communicates
    with an existing agent without starting a new turn.
    
    For `/root/worker` reporting progress to the root agent, the request
    contains:
    
    ```json
    {
      "type": "agent_message",
      "author": "/root/worker",
      "recipient": "/root",
      "content": [
        {
          "type": "input_text",
          "text": "Message Type: MESSAGE\nTask name: /root\nSender: /root/worker\nPayload:\n"
        },
        {
          "type": "encrypted_content",
          "encrypted_content": "<encrypted message payload>"
        }
      ]
    }
    ```
    
    Conceptually, the model receives:
    
    ```text
    Message Type: MESSAGE
    Task name: /root
    Sender: /root/worker
    Payload:
    The protocol tests pass; I am checking the resume path now.
    ```
    
    ### `FINAL_ANSWER`
    
    `FINAL_ANSWER` is emitted when a child agent reaches a terminal state
    and reports its result to its parent. Completion payloads are already
    available locally, so the complete envelope is represented as plaintext
    rather than as a plaintext header plus encrypted content.
    
    For `/root/worker` completing work for the root agent, the request
    contains:
    
    ```json
    {
      "type": "agent_message",
      "author": "/root/worker",
      "recipient": "/root",
      "content": [
        {
          "type": "input_text",
          "text": "Message Type: FINAL_ANSWER\nTask name: /root\nSender: /root/worker\nPayload:\nNo regressions found."
        }
      ]
    }
    ```
    
    The model-visible form is:
    
    ```text
    Message Type: FINAL_ANSWER
    Task name: /root
    Sender: /root/worker
    Payload:
    No regressions found.
    ```
    
    Errored, shut down, and missing agents also use `FINAL_ANSWER`, with a
    terminal-status description in the payload.
    
    ## What changed
    
    - Render `NEW_TASK` or `MESSAGE` in
    `InterAgentCommunication::to_model_input_item`, based on whether the
    encrypted delivery starts a turn.
    - Replace the multi-agent v2 `<subagent_notification>` completion
    payload with a model-visible `FINAL_ANSWER` envelope.
    - Document `Task name`, `Sender`, and `Payload` consistently in the
    multi-agent developer instructions.
    - Prevent local-only history projections from treating an encrypted
    message's plaintext header as the complete assistant message.
    - Preserve rollout-trace interaction edges when an agent message
    contains both plaintext and encrypted content.
    
    Legacy multi-agent behavior remains unchanged.
    
    ## Verification
    
    - `just test -p codex-protocol`
    - `just test -p codex-rollout-trace`
    - `just test -p codex-web-search-extension`
    - `just test -p codex-core
    encrypted_multi_agent_v2_spawn_sends_agent_message_to_child`
    - `just test -p codex-core
    plaintext_multi_agent_v2_completion_sends_agent_message`
    - `just test -p codex-core
    multi_agent_v2_followup_task_completion_notifies_parent_on_every_turn`
    - `just test -p codex-core
    multi_agent_v2_completion_queues_message_for_direct_parent`
  • Organize context fragments (#18794)
    Organize context fragments under `core/context`. Implement same trait on
    all of them.
  • feat: change multi-agent to use path-like system instead of uuids (#15313)
    This PR add an URI-based system to reference agents within a tree. This
    comes from a sync between research and engineering.
    
    The main agent (the one manually spawned by a user) is always called
    `/root`. Any sub-agent spawned by it will be `/root/agent_1` for example
    where `agent_1` is chosen by the model.
    
    Any agent can contact any agents using the path.
    
    Paths can be used either in absolute or relative to the calling agents
    
    Resume is not supported for now on this new path
  • core: bundle settings diff updates into one dev/user envelope (#12417)
    ## Summary
    - bundle contextual prompt injection into at most one developer message
    plus one contextual user message in both:
      - per-turn settings updates
      - initial context insertion
    - preserve `<model_switch>` across compaction by rebuilding it through
    canonical initial-context injection, instead of relying on
    strip/reattach hacks
    - centralize contextual user fragment detection in one shared definition
    table and reuse it for parsing/compaction logic
    - keep `AGENTS.md` in its natural serialized format:
      - `# AGENTS.md instructions for {dirname}`
      - `<INSTRUCTIONS>...</INSTRUCTIONS>`
    - simplify related tests/helpers and accept the expected snapshot/layout
    updates from bundled multi-part messages
    
    ## Why
    The goal is to converge toward a simpler, more intentional prompt shape
    where contextual updates are consistently represented as one developer
    envelope plus one contextual user envelope, while keeping parsing and
    compaction behavior aligned with that representation.
    
    ## Notable details
    - the temporary `SettingsUpdateEnvelope` wrapper was removed; these
    paths now return `Vec<ResponseItem>` directly
    - local/remote compaction no longer rely on model-switch strip/restore
    helpers
    - contextual user detection is now driven by shared fragment definitions
    instead of ad hoc matcher assembly
    - AGENTS/user instructions are still the same logical context; only the
    synthetic `<user_instructions>` wrapper was replaced by the natural
    AGENTS text format
    
    ## Testing
    - `just fmt`
    - `cargo test -p codex-app-server
    codex_message_processor::tests::extract_conversation_summary_prefers_plain_user_messages
    -- --exact`
    - `cargo test -p codex-core
    compact::tests::collect_user_messages_filters_session_prefix_entries
    --lib -- --exact`
    - `cargo test -p codex-core --test all
    'suite::compact::snapshot_request_shape_pre_turn_compaction_strips_incoming_model_switch'
    -- --exact`
    - `cargo test -p codex-core --test all
    'suite::compact_remote::snapshot_request_shape_remote_pre_turn_compaction_strips_incoming_model_switch'
    -- --exact`
    - `cargo test -p codex-core --test all
    'suite::client::includes_apps_guidance_as_developer_message_when_enabled'
    -- --exact`
    - `cargo test -p codex-core --test all
    'suite::client::includes_developer_instructions_message_in_request' --
    --exact`
    - `cargo test -p codex-core --test all
    'suite::client::includes_user_instructions_message_in_request' --
    --exact`
    - `cargo test -p codex-core --test all
    'suite::client::resume_includes_initial_messages_and_sends_prior_items'
    -- --exact`
    - `cargo test -p codex-core --test all
    'suite::review::review_input_isolated_from_parent_history' -- --exact`
    - `cargo test -p codex-exec --test all
    'suite::resume::exec_resume_last_respects_cwd_filter_and_all_flag' --
    --exact`
    - `cargo test -p core_test_support
    context_snapshot::tests::full_text_mode_preserves_unredacted_text --
    --exact`
    
    ## Notes
    - I also ran several targeted `compact`, `compact_remote`,
    `prompt_caching`, `model_visible_layout`, and `event_mapping` tests
    while iterating on prompt-shape changes.
    - I have not claimed a clean full-workspace `cargo test` from this
    environment because local sandbox/resource conditions have previously
    produced unrelated failures in large workspace runs.
  • feat: sub-agent injection (#12152)
    This PR adds parent-thread sub-agent completion notifications and change
    the prompt of the model to prevent if from being confused
  • Leverage state DB metadata for thread summaries (#10621)
    Summary:
    - read conversation summaries and cwd info from the state DB when
    possible so we no longer rely on rollout files for metadata and avoid
    extra I/O
    - persist CLI version in thread metadata, surface it through summary
    builders, and add the necessary DB migration hooks
    - simplify thread listing by using enriched state DB data directly
    rather than reading rollout heads
    
    Testing:
    - Not run (not requested)
  • fix: prevent repeating interrupted turns (#9043)
    ## What
    Record a model-visible `<turn_aborted>` marker in history when a turn is
    interrupted, and treat it as a session prefix.
    
    ## Why
    When a turn is interrupted, Codex emits `TurnAborted` but previously did
    not persist anything model-visible in the conversation history. On the
    next user turn, the model can’t tell the previous work was aborted and
    may resume/repeat earlier actions (including duplicated side effects
    like re-opening PRs).
    
    Fixes: https://github.com/openai/codex/issues/9042
    
    ## How
    On `TurnAbortReason::Interrupted`, append a hidden user message
    containing a `<turn_aborted>…</turn_aborted>` marker and flush.
    Treat `<turn_aborted>` like `<environment_context>` for session-prefix
    filtering.
    Add a regression test to ensure follow-up turns don’t repeat side
    effects from an aborted turn.
    
    ## Testing
    `just fmt`
    `just fix -p codex-core`
    `cargo test -p codex-core -- --test-threads=1`
    `cargo test --all-features -- --test-threads=1`
    
    ---------
    
    Co-authored-by: Skylar Graika <sgraika127@gmail.com>
    Co-authored-by: jif-oai <jif@openai.com>
    Co-authored-by: Eric Traut <etraut@openai.com>