Real-time state management solution for long-cycle tasks
The A2A protocol designs a streaming processing mechanism based on Server Push Events (SSE) for long running tasks common in enterprise scenarios. This feature allows intelligences to continuously perform tasks in the background while pushing status updates to the client in real time via event streams, breaking through the limitations of the traditional HTTP request-response model.
The technical implementation contains two core components: a task subscription interface and an event flow channel. The client receives a subscription to a task via thetasks/sendSubscribeAfter the interface is registered to listen, the server will continue to send messages such asevent: TaskStatusUpdateEventThe protocol predefines a task lifecycle state machine, which includes standard states such as submitted, working, and completed. The protocol predefines a task lifecycle state machine, including standard states such as submitted, working, completed, etc., and also supports custom state extensions.
data: {"task_id":"123","state":"working"}
In a typical case of global supply chain optimization, logistics route planning intelligence may take hours to calculate the optimal path. By streaming A2A, the transportation scheduling system can get real-time incremental updates such as "Grid calculation completed in 25% area" and "Traffic control exception encountered" to assist manual decision-making. Compared with the traditional polling method, this solution reduces the network overhead by more than 80%.
This answer comes from the articleA2A: Google releases open protocol for communication between AI intelligencesThe
