Send chat message (streaming)
- Base URL
-
https://{kibana_url}
- POST /api/agent_builder/converse/async
- POST /s/{space_id}/api/agent_builder/converse/async
Refer to Spaces for more information.
Send a message to an agent and receive real-time streaming events. This asynchronous endpoint provides live updates as the agent processes your request, allowing you to see intermediate steps and progress. Use this for interactive experiences where you want to monitor the agent's thinking process.
The endpoint emits Server-Sent Events (SSE) with the following custom event types:
conversation_id_set
Sets the conversation ID.
Schema:
{
"conversation_id": "uuid"
}
conversation_created
Fires when a new conversation is persisted and assigned an ID.
Schema:
{
"conversation_id": "uuid",
"title": "conversation title"
}
conversation_updated
Fires when a conversation is updated.
Schema:
{
"conversation_id": "uuid",
"title": "updated conversation title"
}
reasoning
Handles reasoning-related data.
Schema:
{
"reasoning": "plain text reasoning content",
"transient": false
}
tool_call
Triggers when a tool is invoked.
Schema:
{
"tool_call_id": "uuid",
"tool_id": "tool_name",
"params": {}
}
tool_progress
Reports progress of a running tool.
Schema:
{
"tool_call_id": "uuid",
"message": "progress message"
}
tool_result
Returns results from a completed tool call.
Schema:
{
"tool_call_id": "uuid",
"tool_id": "tool_name",
"results": []
}
results is an array of ToolResult objects.
message_chunk
Streams partial text chunks.
Schema:
{
"message_id": "uuid",
"text_chunk": "partial text"
}
message_complete
Indicates message stream is finished.
Schema:
{
"message_id": "uuid",
"message_content": "full text content of the message"
}
thinking_complete
Marks the end of the thinking/reasoning phase.
Schema:
{
"time_to_first_token": 0
}
time_to_first_token is in milliseconds.
round_complete
Marks end of one conversation round.
Schema:
{
"round": {}
}
round contains the full round json object.
A typical conversation round emits events in this sequence:
reasoning(potentially multiple, some transient)tool_call(if tools are used)tool_progress(zero or more progress updates)tool_result(when tool completes)thinking_completemessage_chunk(multiple, as text streams)message_completeround_complete
Required authorization
- Privileges agentBuilder:read
Request body
-
_execution_mode -
define how to execute the agent (local execution or via task_manager)
-
Values:
localtask_manager -
action -
The action to perform. "regenerate" re-executes the last round with the original input. Requires conversation_id.
-
Values:
regenerate -
agent_idstring · default: elastic-ai-agent -
The ID of the agent to chat with. Defaults to the default Elastic AI agent.
-
attachmentsobject -
Optional attachments to send with the message.
-
datamap string to object -
Payload of the attachment. Required unless
originis provided (content is resolved once at send time). -
group_idstring · max length: 256 -
Stable identifier for the logical group this attachment belongs to. Attachments sharing the same group_id were submitted together as a single logical entity.
-
When true, the attachment will not be displayed in the UI.
-
browser_api_toolsobject -
Optional browser API tools to be registered as LLM tools with browser.* namespace. These tools execute on the client side.
-
capabilitiesobject -
Controls agent capabilities during conversation. Currently supports visualization rendering for tabular tool results.
-
configuration_overridesobject -
Runtime configuration overrides. These override the stored agent configuration for this execution only.
-
connector_idstringnullable -
Optional connector ID for the agent to use for model routing. Mutually exclusive with
inference_id; omit or use only one. -
execution_idstring -
Optional client-generated execution ID. Provide it to address this execution later (for example, to abort it). Must be unique; defaults to a server-generated ID.
-
inference_idstringnullable -
Optional inference endpoint ID for model routing (public alias for the same internal identifier as
connector_id). Mutually exclusive withconnector_id. -
promptsmap string to anyOf -
Use this field to respond to a
confirmation,authorization, orask_user_questionprompt. Send anallowboolean to answer aconfirmationprompt, anauthorizedboolean to answer anauthorizationprompt, or ananswersarray (one entry per question) to answer anask_user_questionprompt.
Response
Indicates a successful response