Build Agentic AI with Google ADK and Python | An AI Agent that can provide clothing suggestions.

This video demonstrates building an agentic AI application using Google's Agent Development Kit (ADK) and Python to create a clothing suggestion agent. It continues from a previous weather agent tutorial, showing how to extend AI agent capabilities with domain-specific tools and functions. The tutorial covers implementing tool definitions, handling user queries, and integrating multiple data sources to provide intelligent clothing recommendations based on context.

Key Points

• •Google ADK provides a framework for building multi-tool AI agents in Python with structured tool definitions
• •Define custom tools with clear input schemas and descriptions for the AI agent to understand and invoke them
• •Implement tool handlers that process agent requests and return contextual data (e.g., weather, wardrobe inventory)
• •Use function calling to enable agents to autonomously select and execute appropriate tools based on user queries
• •Chain multiple tools together to provide comprehensive suggestions (e.g., combine weather data with clothing recommendations)
• •Structure agent responses with clear reasoning and actionable recommendations for end users
• •Test agent behavior with various user inputs to ensure tool selection and execution logic works correctly
• •Extend the agent framework from previous examples (weather agent) to new domains (clothing suggestions)

Workflow Diagram

Concepts