Build a multi-agent AI customer support system

AI agents are revolutionizing customer support by providing 24/7 assistance, understanding urgency, and processing queries with company-specific details. This transformation is powered by large foundation models, and the article outlines how to build a multi-agent system using an open-source Agent Development Kit (ADK) and the Agent-to-Agent (A2A) protocol. The ADK, developed by Google, offers a modular and flexible framework for developing AI agents that can scale, test, and integrate into real-world systems. The A2A protocol enables communication and collaboration between AI agents, allowing them to solve complex problems collectively. The article details the development of a customer query routing and resolution system, where a coordinator agent orchestrates tasks among intake, resolution, and escalation agents based on the sentiment of customer messages. The project uses open-source models from Nebius AI Studio for various tasks, optimizing performance and cost. The system is demonstrated through a Streamlit-based UI, showcasing its potential for real-world applications like automated onboarding, internal helpdesk automation, and multilingual support.

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