Google ADK 2.0 workflows tutorial: Building reliable multi-agent systems

This tutorial introduces Google ADK 2.0 workflows for building reliable multi-agent systems, emphasizing a shift from traditional system prompts to intelligent routing mechanisms. The content focuses on practical techniques for orchestrating multiple AI agents effectively, reducing reliance on prompt engineering alone, and implementing structured workflows that ensure consistent agent behavior.

Key Points

• •Move beyond system prompts: Use routing logic instead of relying solely on prompt engineering for agent behavior control
• •Implement intelligent routing: Direct tasks to appropriate agents based on context and requirements rather than hoping prompts work
• •Multi-agent orchestration: Structure workflows to coordinate multiple specialized agents for complex tasks
• •Reliability through architecture: Build deterministic workflows that reduce unpredictability in agent responses
• •Google ADK 2.0 capabilities: Leverage the framework's tools for defining agent interactions and task routing
• •Workflow-based design: Replace ad-hoc prompting with structured, repeatable workflow patterns
• •Agent specialization: Create focused agents for specific domains rather than one generalist agent
• •Reduce prompt complexity: Simplify individual agent prompts by handling complexity at the workflow level

Workflow Diagram

Concepts