Tutorial 04: Sequential Workflows - Agent Pipelines
Chain multiple agents together in sequential workflows to create complex multi-step processes like research → analysis → report generation.
Chain multiple agents together in sequential workflows to create complex multi-step processes like research → analysis → report generation.
Execute multiple agents simultaneously using ParallelAgent for faster processing and independent task execution.
Manage agent state and memory across conversations using session, user, and application-level persistence for stateful interactions.
Build comprehensive testing frameworks for agents including unit tests, integration tests, and automated evaluation metrics.
Use ADK's built-in tools for web search, grounding, and information retrieval to create agents with real-world knowledge access.
Configure agents using YAML files for declarative setup, easier maintenance, and configuration management across environments.
Learn to select and configure different AI models including Gemini variants, optimization strategies, and model-specific configurations.