> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ag-ui.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Events

> Understanding events in the Agent User Interaction Protocol

# Events

The Agent User Interaction Protocol uses a streaming event-based architecture.
Events are the fundamental units of communication between agents and frontends,
enabling real-time, structured interaction.

## Event Types Overview

Events in the protocol are categorized by their purpose:

| Category                | Description                             |
| ----------------------- | --------------------------------------- |
| Lifecycle Events        | Monitor the progression of agent runs   |
| Text Message Events     | Handle streaming textual content        |
| Tool Call Events        | Manage tool executions by agents        |
| State Management Events | Synchronize state between agents and UI |
| Activity Events         | Represent ongoing activity progress     |
| Special Events          | Support custom functionality            |
| Draft Events            | Proposed events under development       |

## Base Event Properties

All events share a common set of base properties:

| Property    | Description                                                      |
| ----------- | ---------------------------------------------------------------- |
| `type`      | The specific event type identifier                               |
| `timestamp` | Optional timestamp indicating when the event was created         |
| `rawEvent`  | Optional field containing the original event data if transformed |

## Lifecycle Events

These events represent the lifecycle of an agent run. A typical agent run
follows a predictable pattern: it begins with a `RunStarted` event, may contain
multiple optional `StepStarted`/`StepFinished` pairs, and concludes with either
a `RunFinished` event (success) or a `RunError` event (failure).

Lifecycle events provide crucial structure to agent runs, enabling frontends to
track progress, manage UI states appropriately, and handle errors gracefully.
They create a consistent framework for understanding when operations begin and
end, making it possible to implement features like loading indicators, progress
tracking, and error recovery mechanisms.

```mermaid theme={null}
sequenceDiagram
    participant Agent
    participant Client

    Note over Agent,Client: Run begins
    Agent->>Client: RunStarted

    opt Sending steps is optional
        Note over Agent,Client: Step execution
        Agent->>Client: StepStarted
        Agent->>Client: StepFinished
    end

    Note over Agent,Client: Run completes
    alt
        Agent->>Client: RunFinished
    else
        Agent->>Client: RunError
    end
```

The `RunStarted` and either `RunFinished` or `RunError` events are mandatory,
forming the boundaries of an agent run. Step events are optional and may occur
multiple times within a run, allowing for structured, observable progress
tracking.

### RunStarted

Signals the start of an agent run.

The `RunStarted` event is the first event emitted when an agent begins
processing a request. It establishes a new execution context identified by a
unique `runId`. This event serves as a marker for frontends to initialize UI
elements such as progress indicators or loading states. It also provides crucial
identifiers that can be used to associate subsequent events with this specific
run.

| Property      | Description                                                                                                                                                    |
| ------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `threadId`    | ID of the conversation thread                                                                                                                                  |
| `runId`       | ID of the agent run                                                                                                                                            |
| `parentRunId` | (Optional) Lineage pointer for branching/time travel. If present, refers to a prior run within the same thread, creating a git-like append-only log            |
| `input`       | (Optional) The exact agent input payload that was sent to the agent for this run. May omit messages already present in history; compactEvents() will normalize |

### RunFinished

Signals the end of an agent run. Every run terminates with either `RunFinished`
or `RunError`.

`RunFinished` has an optional `outcome` discriminated union:

* **omitted** — legacy producer that has not yet adopted the interrupt-aware
  lifecycle. Treated as a normal completion.
* `outcome: { type: "success" }` — the run completed normally. The optional
  `result` stays at the root of the event for back-compat.
* `outcome: { type: "interrupt", interrupts: [...] }` — the run paused for human
  input. The non-empty `interrupts` array lives inside the outcome variant. The
  client resumes by starting a new run whose `RunAgentInput` includes a `resume`
  array addressing every open interrupt.

<Note>
  For the full interrupt lifecycle — the `Interrupt` type, contract rules,
  error handling, reason taxonomy, and worked examples — see
  [Interrupts](/concepts/interrupts).
</Note>

### RunError

Signals an error during an agent run.

The `RunError` event indicates that the agent encountered an error it could not
recover from, causing the run to terminate prematurely. This event provides
information about what went wrong, allowing frontends to display appropriate
error messages and potentially offer recovery options. After a `RunError` event,
no further processing will occur in this run.

| Property  | Description         |
| --------- | ------------------- |
| `message` | Error message       |
| `code`    | Optional error code |

### StepStarted

Signals the start of a step within an agent run.

The `StepStarted` event indicates that the agent is beginning a specific subtask
or phase of its processing. Steps provide granular visibility into the agent's
progress, enabling more precise tracking and feedback in the UI. Steps are
optional but highly recommended for complex operations that benefit from being
broken down into observable stages. The `stepName` could be the name of a node
or function that is currently executing.

| Property   | Description      |
| ---------- | ---------------- |
| `stepName` | Name of the step |

### StepFinished

Signals the completion of a step within an agent run.

The `StepFinished` event indicates that the agent has completed a specific
subtask or phase. When paired with a corresponding `StepStarted` event, it
creates a bounded context for a discrete unit of work. Frontends can use these
events to update progress indicators, show completion animations, or reveal
results specific to that step. The `stepName` must match the corresponding
`StepStarted` event to properly pair the beginning and end of the step.

| Property   | Description      |
| ---------- | ---------------- |
| `stepName` | Name of the step |

## Text Message Events

These events represent the lifecycle of text messages in a conversation. Text
message events follow a streaming pattern, where content is delivered
incrementally. A message begins with a `TextMessageStart` event, followed by one
or more `TextMessageContent` events that deliver chunks of text as they become
available, and concludes with a `TextMessageEnd` event.

This streaming approach enables real-time display of message content as it's
generated, creating a more responsive user experience compared to waiting for
the entire message to be complete before showing anything.

```mermaid theme={null}
sequenceDiagram
    participant Agent
    participant Client

    Note over Agent,Client: Message begins
    Agent->>Client: TextMessageStart

    loop Content streaming
        Agent->>Client: TextMessageContent
    end

    Note over Agent,Client: Message completes
    Agent->>Client: TextMessageEnd
```

The `TextMessageContent` events each contain a `delta` field with a chunk of
text. Frontends should concatenate these deltas in the order received to
construct the complete message. The `messageId` property links all related
events, allowing the frontend to associate content chunks with the correct
message.

### TextMessageStart

Signals the start of a text message.

The `TextMessageStart` event initializes a new text message in the conversation.
It establishes a unique `messageId` that will be referenced by subsequent
content chunks and the end event. This event allows frontends to prepare the UI
for an incoming message, such as creating a new message bubble with a loading
indicator. The `role` property identifies whether the message is coming from the
assistant or potentially another participant in the conversation.

| Property    | Description                                                                     |
| ----------- | ------------------------------------------------------------------------------- |
| `messageId` | Unique identifier for the message                                               |
| `role`      | Role of the message sender ("developer", "system", "assistant", "user", "tool") |

### TextMessageContent

Represents a chunk of content in a streaming text message.

The `TextMessageContent` event delivers incremental parts of the message text as
they become available. Each event contains a small chunk of text in the `delta`
property that should be appended to previously received chunks. The streaming
nature of these events enables real-time display of content, creating a more
responsive and engaging user experience. Implementations should handle these
events efficiently to ensure smooth text rendering without visible delays or
flickering.

| Property    | Description                            |
| ----------- | -------------------------------------- |
| `messageId` | Matches the ID from `TextMessageStart` |
| `delta`     | Text content chunk (non-empty)         |

### TextMessageEnd

Signals the end of a text message.

The `TextMessageEnd` event marks the completion of a streaming text message.
After receiving this event, the frontend knows that the message is complete and
no further content will be added. This allows the UI to finalize rendering,
remove any loading indicators, and potentially trigger actions that should occur
after message completion, such as enabling reply controls or performing
automatic scrolling to ensure the full message is visible.

| Property    | Description                            |
| ----------- | -------------------------------------- |
| `messageId` | Matches the ID from `TextMessageStart` |

### TextMessageChunk

Convenience event that expands to Start → Content → End automatically.

The `TextMessageChunk` event lets you omit explicit `TextMessageStart` and
`TextMessageEnd` events. The client stream transformer expands chunks into the
standard triad:

* First chunk for a message must include `messageId` and will emit
  `TextMessageStart` (role defaults to `assistant` when not provided).
* Each chunk with a `delta` emits a `TextMessageContent` for the current
  `messageId`.
* `TextMessageEnd` is emitted automatically when the stream switches to a new
  message ID or when the stream completes.

| Property    | Description                                                                          |
| ----------- | ------------------------------------------------------------------------------------ |
| `messageId` | Optional unique identifier for the message; required on the first chunk of a message |
| `role`      | Optional role of the sender ("developer", "system", "assistant", "user")             |
| `delta`     | Optional text content of the message                                                 |

## Tool Call Events

These events represent the lifecycle of tool calls made by agents. Tool calls
follow a streaming pattern similar to text messages. When an agent needs to use
a tool, it emits a `ToolCallStart` event, followed by one or more `ToolCallArgs`
events that stream the arguments being passed to the tool, and concludes with a
`ToolCallEnd` event.

This streaming approach allows frontends to show tool executions in real-time,
making the agent's actions transparent and providing immediate feedback about
what tools are being invoked and with what parameters.

```mermaid theme={null}
sequenceDiagram
    participant Agent
    participant Client

    Note over Agent,Client: Tool call begins
    Agent->>Client: ToolCallStart

    loop Arguments streaming
        Agent->>Client: ToolCallArgs
    end

    Note over Agent,Client: Tool call completes
    Agent->>Client: ToolCallEnd

    Note over Agent,Client: Tool execution result
    Agent->>Client: ToolCallResult
```

The `ToolCallArgs` events each contain a `delta` field with a chunk of the
arguments. Frontends should concatenate these deltas in the order received to
construct the complete arguments object. The `toolCallId` property links all
related events, allowing the frontend to associate argument chunks with the
correct tool call.

### ToolCallStart

Signals the start of a tool call.

The `ToolCallStart` event indicates that the agent is invoking a tool to perform
a specific function. This event provides the name of the tool being called and
establishes a unique `toolCallId` that will be referenced by subsequent events
in this tool call. Frontends can use this event to display tool usage to users,
such as showing a notification that a specific operation is in progress. The
optional `parentMessageId` allows linking the tool call to a specific message in
the conversation, providing context for why the tool is being used.

| Property          | Description                         |
| ----------------- | ----------------------------------- |
| `toolCallId`      | Unique identifier for the tool call |
| `toolCallName`    | Name of the tool being called       |
| `parentMessageId` | Optional ID of the parent message   |

### ToolCallArgs

Represents a chunk of argument data for a tool call.

The `ToolCallArgs` event delivers incremental parts of the tool's arguments as
they become available. Each event contains a segment of the argument data in the
`delta` property. These deltas are often JSON fragments that, when combined,
form the complete arguments object for the tool. Streaming the arguments is
particularly valuable for complex tool calls where constructing the full
arguments may take time. Frontends can progressively reveal these arguments to
users, providing insight into exactly what parameters are being passed to tools.

| Property     | Description                         |
| ------------ | ----------------------------------- |
| `toolCallId` | Matches the ID from `ToolCallStart` |
| `delta`      | Argument data chunk                 |

### ToolCallEnd

Signals the end of a tool call.

The `ToolCallEnd` event marks the completion of a tool call. After receiving
this event, the frontend knows that all arguments have been transmitted and the
tool execution is underway or completed. This allows the UI to finalize the tool
call display and prepare for potential results. In systems where tool execution
results are returned separately, this event indicates that the agent has
finished specifying the tool and its arguments, and is now waiting for or has
received the results.

| Property     | Description                         |
| ------------ | ----------------------------------- |
| `toolCallId` | Matches the ID from `ToolCallStart` |

### ToolCallResult

Provides the result of a tool call execution.

The `ToolCallResult` event delivers the output or result from a tool that was
previously invoked by the agent. This event is sent after the tool has been
executed by the system and contains the actual output generated by the tool.
Unlike the streaming pattern of tool call specification (start, args, end), the
result is delivered as a complete unit since tool execution typically produces a
complete output. Frontends can use this event to display tool results to users,
append them to the conversation history, or trigger follow-up actions based on
the tool's output.

| Property     | Description                                                 |
| ------------ | ----------------------------------------------------------- |
| `messageId`  | ID of the conversation message this result belongs to       |
| `toolCallId` | Matches the ID from the corresponding `ToolCallStart` event |
| `content`    | The actual result/output content from the tool execution    |
| `role`       | Optional role identifier, typically "tool" for tool results |

### ToolCallChunk

Convenience event that expands to Start → Args → End automatically.

The `ToolCallChunk` event lets you omit explicit `ToolCallStart` and
`ToolCallEnd` events. The client stream transformer expands chunks into the
standard tool-call triad:

* First chunk for a tool call must include `toolCallId` and `toolCallName` and
  will emit `ToolCallStart` (propagating any `parentMessageId`).
* Each chunk with a `delta` emits a `ToolCallArgs` for the current `toolCallId`.
* `ToolCallEnd` is emitted automatically when the stream switches to a new
  `toolCallId` or when the stream completes.

| Property          | Description                                                          |
| ----------------- | -------------------------------------------------------------------- |
| `toolCallId`      | Optional on later chunks; required on the first chunk of a tool call |
| `toolCallName`    | Optional on later chunks; required on the first chunk of a tool call |
| `parentMessageId` | Optional ID of the parent message                                    |
| `delta`           | Optional argument data chunk (often a JSON fragment)                 |

## State Management Events

These events are used to manage and synchronize the agent's state with the
frontend. State management in the protocol follows an efficient snapshot-delta
pattern where complete state snapshots are sent initially or infrequently, while
incremental updates (deltas) are used for ongoing changes.

This approach optimizes for both completeness and efficiency: snapshots ensure
the frontend has the full state context, while deltas minimize data transfer for
frequent updates. Together, they enable frontends to maintain an accurate
representation of agent state without unnecessary data transmission.

```mermaid theme={null}
sequenceDiagram
    participant Agent
    participant Client

    Note over Agent,Client: Initial state transfer
    Agent->>Client: StateSnapshot

    Note over Agent,Client: Incremental updates
    loop State changes over time
        Agent->>Client: StateDelta
        Agent->>Client: StateDelta
    end

    Note over Agent,Client: Occasional full refresh
    Agent->>Client: StateSnapshot

    loop More incremental updates
        Agent->>Client: StateDelta
    end

    Note over Agent,Client: Message history update
    Agent->>Client: MessagesSnapshot
```

The combination of snapshots and deltas allows frontends to efficiently track
changes to agent state while ensuring consistency. Snapshots serve as
synchronization points that reset the state to a known baseline, while deltas
provide lightweight updates between snapshots.

### StateSnapshot

Provides a complete snapshot of an agent's state.

The `StateSnapshot` event delivers a comprehensive representation of the agent's
current state. This event is typically sent at the beginning of an interaction
or when synchronization is needed. It contains all state variables relevant to
the frontend, allowing it to completely rebuild its internal representation.
Frontends should replace their existing state model with the contents of this
snapshot rather than trying to merge it with previous state.

| Property   | Description             |
| ---------- | ----------------------- |
| `snapshot` | Complete state snapshot |

### StateDelta

Provides a partial update to an agent's state using JSON Patch.

The `StateDelta` event contains incremental updates to the agent's state in the
form of JSON Patch operations (as defined in RFC 6902). Each delta represents
specific changes to apply to the current state model. This approach is
bandwidth-efficient, sending only what has changed rather than the entire state.
Frontends should apply these patches in sequence to maintain an accurate state
representation. If a frontend detects inconsistencies after applying patches, it
may request a fresh `StateSnapshot`.

| Property | Description                               |
| -------- | ----------------------------------------- |
| `delta`  | Array of JSON Patch operations (RFC 6902) |

### MessagesSnapshot

Provides a snapshot of all messages in a conversation.

The `MessagesSnapshot` event delivers a complete history of messages in the
current conversation. Unlike the general state snapshot, this focuses
specifically on the conversation transcript. This event is useful for
initializing the chat history, synchronizing after connection interruptions, or
providing a comprehensive view when a user joins an ongoing conversation.
Frontends should use this to establish or refresh the conversational context
displayed to users.

| Property   | Description              |
| ---------- | ------------------------ |
| `messages` | Array of message objects |

## Activity Events

Activity Events expose structured, in-progress activity updates that occur
between chat messages. They follow the same snapshot/delta pattern as the state
system so that UIs can render a complete activity view immediately and then
incrementally update it as new information arrives.

### ActivitySnapshot

Delivers a complete snapshot of an activity message.

| Property       | Description                                                                                   |
| -------------- | --------------------------------------------------------------------------------------------- |
| `messageId`    | Identifier for the `ActivityMessage` this event updates                                       |
| `activityType` | Activity discriminator (for example `"PLAN"`, `"SEARCH"`)                                     |
| `content`      | Structured JSON payload representing the full activity state                                  |
| `replace`      | Optional. Defaults to `true`. When `false`, ignore the snapshot if the message already exists |

Frontends should either create a new `ActivityMessage` or replace the existing
one with the payload supplied by the snapshot.

### ActivityDelta

Applies incremental updates to an existing activity using JSON Patch operations.

| Property       | Description                                                              |
| -------------- | ------------------------------------------------------------------------ |
| `messageId`    | Identifier for the target activity message                               |
| `activityType` | Activity discriminator (mirrors the value from the most recent snapshot) |
| `patch`        | Array of RFC 6902 JSON Patch operations to apply to the activity data    |

Activity deltas should be applied in order to the previously synchronized
activity content. If an application detects divergence, it can request or emit a
fresh `ActivitySnapshot` to resynchronize.

## Special Events

Special events provide flexibility in the protocol by allowing for
system-specific functionality and integration with external systems. These
events don't follow the standard lifecycle or streaming patterns of other event
types but instead serve specialized purposes.

### Raw

Used to pass through events from external systems.

The `Raw` event acts as a container for events originating from external systems
or sources that don't natively follow the Agent UI Protocol. This event type
enables interoperability with other event-based systems by wrapping their events
in a standardized format. The enclosed event data is preserved in its original
form inside the `event` property, while the optional `source` property
identifies the system it came from. Frontends can use this information to handle
external events appropriately, either by processing them directly or by
delegating them to system-specific handlers.

| Property | Description                |
| -------- | -------------------------- |
| `event`  | Original event data        |
| `source` | Optional source identifier |

### Custom

Used for application-specific custom events.

The `Custom` event provides an extension mechanism for implementing features not
covered by the standard event types. Unlike `Raw` events which act as
passthrough containers, `Custom` events are explicitly part of the protocol but
with application-defined semantics. The `name` property identifies the specific
custom event type, while the `value` property contains the associated data. This
mechanism allows for protocol extensions without requiring formal specification
changes. Teams should document their custom events to ensure consistent
implementation across frontends and agents.

| Property | Description                     |
| -------- | ------------------------------- |
| `name`   | Name of the custom event        |
| `value`  | Value associated with the event |

## Reasoning Events

Reasoning events support LLM reasoning visibility and continuity, enabling
chain-of-thought reasoning while maintaining privacy. These events allow agents
to surface reasoning signals (e.g., summaries) and support encrypted reasoning
items for state carry-over across turns—especially under `store:false` or zero
data retention policies—without exposing raw chain-of-thought.

See
[OpenAI ZTR documentation](https://developers.openai.com/cookbook/examples/responses_api/reasoning_items/#encrypted-reasoning-items),
[OpenAI store parameter documentation](https://platform.openai.com/docs/api-reference/responses/create#responses_create-store),
and
[Gemini Thought Signatures](https://ai.google.dev/gemini-api/docs/thought-signatures)
for the underlying concept of encrypted reasoning items, which inspired this
design.

See [Reasoning](/concepts/reasoning) for comprehensive documentation including
privacy considerations, compliance guidance, and implementation examples.

```mermaid theme={null}
sequenceDiagram
    participant Agent
    participant Client

    Note over Agent,Client: Reasoning begins
    Agent->>Client: ReasoningStart

    Note over Agent,Client: Stream reasoning content
    Agent->>Client: ReasoningMessageStart
    Agent->>Client: ReasoningMessageContent
    Agent->>Client: ReasoningMessageEnd

    Note over Agent,Client: Reasoning completes
    Agent->>Client: ReasoningEnd
```

### ReasoningStart

Marks the start of reasoning.

The `ReasoningStart` event signals that the agent is beginning a reasoning
process. It establishes a reasoning context identified by a unique `messageId`.

| Property    | Description                         |
| ----------- | ----------------------------------- |
| `messageId` | Unique identifier of this reasoning |

### ReasoningMessageStart

Signals the start of a reasoning message.

The `ReasoningMessageStart` event begins a streaming reasoning message. This
message will contain the visible portion of the agent's reasoning that should be
displayed to users (e.g., a summary or partial chain-of-thought).

| Property    | Description                                   |
| ----------- | --------------------------------------------- |
| `messageId` | Unique identifier of the message              |
| `role`      | Role of the reasoning message (`"reasoning"`) |

### ReasoningMessageContent

Represents a chunk of content in a streaming reasoning message.

The `ReasoningMessageContent` event delivers incremental reasoning content to
the client. Multiple content events with the same `messageId` should be
concatenated to form the complete visible reasoning.

| Property    | Description                                |
| ----------- | ------------------------------------------ |
| `messageId` | Matches ID from ReasoningMessageStart      |
| `delta`     | Reasoning content chunk (non-empty string) |

### ReasoningMessageEnd

Signals the end of a reasoning message.

The `ReasoningMessageEnd` event indicates that all content for the specified
reasoning message has been sent. Clients should finalize any UI representing
this reasoning message.

| Property    | Description                           |
| ----------- | ------------------------------------- |
| `messageId` | Matches ID from ReasoningMessageStart |

### ReasoningMessageChunk

A convenience event to auto start/close reasoning messages.

The `ReasoningMessageChunk` event simplifies implementation by automatically
managing message lifecycle. The first chunk with a `messageId` implicitly starts
the message. An empty `delta` or the next non-reasoning event implicitly closes
the message.

| Property    | Description                                               |
| ----------- | --------------------------------------------------------- |
| `messageId` | Message ID (first event must be non-empty)                |
| `delta`     | Reasoning content chunk (empty string closes the message) |

### ReasoningEnd

Marks the end of reasoning.

The `ReasoningEnd` event signals that the agent has completed its reasoning
process for the given context. No further reasoning events with the same
`messageId` should be expected after this event.

| Property    | Description                         |
| ----------- | ----------------------------------- |
| `messageId` | Unique identifier of this reasoning |

### ReasoningEncryptedValue

Attaches encrypted chain-of-thought reasoning to a message or tool call.

The `ReasoningEncryptedValue` event carries encrypted reasoning content that
represents the LLM's internal chain-of-thought related to a specific entity.
This allows the agent to preserve reasoning state across conversation turns
without exposing the raw content to the client. The client stores and forwards
these encrypted values opaquely—only the agent (or authorized backend) can
decrypt them.

| Property         | Description                                              |
| ---------------- | -------------------------------------------------------- |
| `subtype`        | Entity type: `"message"` or `"tool-call"`                |
| `entityId`       | ID of the message or tool call this reasoning belongs to |
| `encryptedValue` | Encrypted chain-of-thought content blob                  |

Use cases:

* **Message reasoning**: Attach encrypted reasoning to an `AssistantMessage` or
  `ReasoningMessage` to preserve context for follow-up turns
* **Tool call reasoning**: Attach encrypted reasoning to a tool call to capture
  why the agent chose specific arguments or how it interpreted results

## Deprecated Events

<Warning>
  The following events are deprecated and will be removed in version 1.0.0. Use
  the corresponding Reasoning events instead.
</Warning>

### Thinking Events (Deprecated)

The `THINKING_*` events have been replaced by `REASONING_*` events:

| Deprecated Event                | Replacement                 |
| ------------------------------- | --------------------------- |
| `THINKING_START`                | `REASONING_START`           |
| `THINKING_END`                  | `REASONING_END`             |
| `THINKING_TEXT_MESSAGE_START`   | `REASONING_MESSAGE_START`   |
| `THINKING_TEXT_MESSAGE_CONTENT` | `REASONING_MESSAGE_CONTENT` |
| `THINKING_TEXT_MESSAGE_END`     | `REASONING_MESSAGE_END`     |

See [Reasoning Migration](/concepts/reasoning#migration-from-thinking-events)
for detailed migration guidance.

## Draft Events

These events are currently in draft status and may change before finalization.
They represent proposed extensions to the protocol that are under active
development and discussion.

### Meta Events

<span
  style={{
backgroundColor: "#3b82f6",
color: "white",
padding: "2px 6px",
borderRadius: "4px",
fontSize: "0.75em",
fontWeight: "bold",
}}
>
  DRAFT
</span>

[View Proposal](/drafts/meta-events)

Meta events provide annotations and signals independent of agent runs, such as
user feedback or external system events.

#### MetaEvent

A side-band annotation event that can occur anywhere in the stream.

| Property   | Description                                          |
| ---------- | ---------------------------------------------------- |
| `metaType` | Application-defined type (e.g., "thumbs\_up", "tag") |
| `payload`  | Application-defined payload                          |

### Modified Lifecycle Events

<span
  style={{
backgroundColor: "#3b82f6",
color: "white",
padding: "2px 6px",
borderRadius: "4px",
fontSize: "0.75em",
fontWeight: "bold",
}}
>
  DRAFT
</span>

[View Specification](/concepts/interrupts)

Extensions to existing lifecycle events to support interrupts and branching.

#### RunFinished (Extended)

The `RunFinished` event gains new fields to support interrupt-aware workflows.

| Property  | Description                                                                                                                       |
| --------- | --------------------------------------------------------------------------------------------------------------------------------- |
| `outcome` | Optional discriminated union: `{ type: "success" }` or `{ type: "interrupt", interrupts: [...] }`. Omitted on legacy producers.   |
| `result`  | Optional. Free-form completion payload. Lives at the event root for back-compat with legacy producers; coexists with any outcome. |

See [Serialization](/concepts/serialization) for lineage and input capture.

#### RunStarted (Extended)

The `RunStarted` event gains new fields to support branching and input tracking.

| Property      | Description                                       |
| ------------- | ------------------------------------------------- |
| `parentRunId` | Optional: Parent run ID for branching/time travel |
| `input`       | Optional: The exact agent input for this run      |

## Event Flow Patterns

Events in the protocol typically follow specific patterns:

1. **Start-Content-End Pattern**: Used for streaming content (text messages,
   tool calls)
   * `Start` event initiates the stream
   * `Content` events deliver data chunks
   * `End` event signals completion

2. **Snapshot-Delta Pattern**: Used for state synchronization
   * `Snapshot` provides complete state
   * `Delta` events provide incremental updates

3. **Lifecycle Pattern**: Used for monitoring agent runs
   * `Started` events signal beginnings
   * `Finished`/`Error` events signal endings

## Implementation Considerations

When implementing event handlers:

* Events should be processed in the order they are received
* Events with the same ID (e.g., `messageId`, `toolCallId`) belong to the same
  logical stream
* Implementations should be resilient to out-of-order delivery
* Custom events should follow the established patterns for consistency