Beyond Request-Response: Architecting Real-time Bidirectional Streaming Multi-agent System

As AI agents evolve, the traditional request-response model shows limitations in handling high-concurrency, low-latency interactions, especially with continuous data streams and multiple agents. This text advocates for a real-time bidirectional streaming architecture to enhance multi-agent systems, addressing challenges such as state and session management and performant I/O. The Agent Development Kit (ADK) is introduced to tackle these issues, offering a streaming-native-first approach that includes asynchronous real-time I/O management, stateful sessions for seamless multi-agent interactions, and event-driven callbacks for customization. This architecture allows for true concurrency, proactive assistance, and unified multimodal processing, enabling agents to act as collaborative partners. However, building such systems presents complex engineering challenges, particularly in context management and performance, requiring innovative solutions like the LiveRequestQueue and streaming-native tools. The document highlights future research directions to improve performance and control over the agent lifecycle, aiming for seamless, real-time interactive AI experiences.

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