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kiro_chat_async

Start an asynchronous chat task to stream responses from Kiro CLI, then poll for results using kiro_task_status.

Instructions

Start an async chat task for streaming-like experience. Use kiro_task_status to poll for results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesThe message to send to kiro-cli
session_idNoOptional session ID. Uses active session if not provided

Implementation Reference

  • The primary handler function for the kiro_chat_async tool. It creates a session if needed, sets up a task executor, starts a background task via StreamingTaskManager, and returns the task ID for polling.
    async def _handle_chat_async( session_manager: SessionManager, command_executor: CommandExecutor, task_manager: StreamingTaskManager, arguments: dict[str, Any] ) -> dict[str, Any]: """Handle kiro_chat_async tool call - start async chat with polling support.""" message = arguments.get("message", "") session_id = arguments.get("session_id") session = await session_manager.get_or_create_session(session_id) # Create task executor executor = create_chat_task_executor(command_executor, session) # Start async task task = await task_manager.start_task( session_id=session.id, message=message, executor=executor, ) return { "task_id": task.task_id, "session_id": session.id, "status": task.status.value, "message": "Task started. Poll kiro_task_status for updates.", }
  • JSON Schema definition for the kiro_chat_async tool, including input parameters and description used for MCP tool listing and validation.
    { "name": "kiro_chat_async", "description": "Start an async chat task for streaming-like experience. Use kiro_task_status to poll for results.", "inputSchema": { "type": "object", "properties": { "message": { "type": "string", "description": "The message to send to kiro-cli" }, "session_id": { "type": "string", "description": "Optional session ID. Uses active session if not provided" } }, "required": ["message"] } },
  • Dispatch routing in the main call_tool handler that directs kiro_chat_async calls to the specific _handle_chat_async function.
    elif name == "kiro_chat_async": result = await _handle_chat_async( session_manager, command_executor, task_manager, arguments ) elif name == "kiro_task_status":
  • Helper function called by the handler to create the TaskExecutor (StreamingChatExecutor wrapper) that performs the actual async chat execution with progress chunking.
    def create_chat_task_executor( command_executor: Any, session: Any, ) -> TaskExecutor: """Create a task executor for chat. Args: command_executor: The CommandExecutor to use session: The Session to use Returns: A TaskExecutor function """ streaming_executor = StreamingChatExecutor(command_executor) async def executor(task: AsyncTask) -> str: return await streaming_executor.execute(task, session) return executor

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