Source of this article and featured image is DZone AI/ML. Description and key fact are generated by Codevision AI system.

Aakash Sharma explores the evolution of AI agents from text-based systems to multimodal platforms capable of handling audio, images, and video. The article highlights how Google ADK enables developers to build real-time, bi-directional streaming applications with Gemini Live API. It explains the shift toward collaborative, context-aware agents that support seamless human-AI interaction. Practical insights include implementing WebSockets and SSE for real-time communication and leveraging session resumption for network resilience. This tutorial is worth reading for its hands-on approach to modern agentic systems development.

Key facts

  • AI agents have evolved from text-only interactions to multimodal systems handling audio, images, and video.
  • Google ADK provides tools for building real-time, bi-directional streaming applications with Gemini Live API integration.
  • The article demonstrates how to implement session resumption and transparent reconnection for stable network communication.
  • WebSockets and Server-Sent Events (SSE) are compared for their use cases in real-time AI interactions.
  • Developers can use Google ADK’s pre-built tools, API server, and programmatic interface to test and deploy multimodal agents.
See article on DZone AI/ML
TAGS: #agent development  #AI agents  #bi-directional streaming  #Gemini Live API  #Google ADK  #multimodal systems  #real-time AI  #SSE protocols  #WebSockets