The shift from chatbots to autonomous agents is reshaping how applications handle long-running tasks — and exposing a fundamental mismatch. Triggering an agent via a synchronous API call leads to timeouts, dropped connections, and poor user experience. Unlike simple request-response interactions, agents think, plan, and execute across multiple steps — and that requires an architecture built for asynchronous operation.
This session introduces the Event-Driven Agent pattern: treating AI as an asynchronous participant in your system rather than a synchronous endpoint. We'll show how event-driven design enables complex, multi-step workflows that are resilient, observable, and scalable, covering patterns from simple observer implementations to full orchestration of agents alongside microservices.
Topics include designing agents that listen to system events and emit results back into the stream, managing long-running agent state across asynchronous steps, and tracing a single user request as it moves between multiple agents and traditional services.