Part 3: Build Agentic AI with Google ADK | Create a Multi-agent Assistant in Python

This video demonstrates building an agentic AI application using Google ADK in Python, focusing on creating a multi-agent assistant system. The tutorial covers implementing a smart policy assistant that leverages multiple agents working together to handle complex tasks. Key concepts include agent orchestration, tool integration, and practical implementation patterns for production-ready agentic systems.

Key Points

• •Google ADK provides a framework for building multi-agent AI systems in Python with built-in orchestration capabilities
• •Multi-agent architecture allows delegation of specialized tasks to different agents, improving modularity and maintainability
• •Smart policy assistants can be built by combining multiple agents with domain-specific tools and knowledge bases
• •Agent communication and coordination patterns are essential for managing complex workflows across multiple AI agents
• •Tool integration enables agents to interact with external systems, APIs, and data sources for real-world problem solving
• •State management and context passing between agents ensures coherent multi-turn conversations and task completion
• •Google ADK abstracts complexity of agent management, allowing developers to focus on business logic and agent specialization
• •Testing and validation of multi-agent systems requires monitoring agent interactions and tool execution outcomes

Workflow Diagram

Concepts