Agent Development Kit (ADK) # 11 Build SequentialAgent in Google ADK | Python Hands-On Demo

This hands-on tutorial demonstrates how to build a SequentialAgent using Google's Agent Development Kit (ADK) in Python. The video covers the implementation of sequential workflow agents that execute tasks in a defined order. Viewers learn practical techniques for structuring multi-step agent workflows and leveraging ADK's Python framework for agent development.

Key Points

• •SequentialAgent executes tasks in a predetermined order, making it ideal for workflows with dependencies
• •Google ADK provides Python-based tools and abstractions for building structured agents
• •Sequential workflows require clear task definitions and transition logic between steps
• •ADK simplifies agent scaffolding by providing built-in patterns for common agent architectures
• •Python implementation allows for rapid prototyping and integration with existing Python ecosystems
• •Task ordering and state management are critical for reliable sequential agent execution
• •ADK supports debugging and monitoring of multi-step agent workflows
• •Sequential agents are suitable for deterministic processes with clear success/failure criteria

Workflow Diagram

Concepts