Tutorial

Detailed explanation of how to evaluate Agent output quality—designing evaluation metrics, implementing automated evaluation, continuous optimization.

Summarize common issues, debugging notes, and performance tuning experiences in Go ADK development—real project experiences.

Complete project practice through an intelligent customer service system—showing full process from requirements analysis, architecture design, code implementation to production deployment.

Detailed explanation of Callbacks and Plugins concepts in ADK Go—Agent lifecycle hooks, plugin mechanism, achieving deep customization.

Detailed explanation of Skills concept and usage in ADK Go—mounting preset skills to Agent, letting it do more professional tasks.

Detailed explanation of Artifacts usage in ADK Go—letting Agent generate structured content like code, Markdown, HTML.

Detailed explanation of Grounding mechanism in ADK Go—using Google Search Grounding to let Agent answers based on real search results, reducing hallucinations.

Practical case showing how Python ADK Agent and Go ADK Agent collaborate via A2A protocol—task division, information transfer, result aggregation.

Detailed explanation of how to call Agents exposed by other languages in Go Agent—connecting to external Agents via A2A Client.

Detailed explanation of how to expose Go Agent to external systems via A2A protocol—service registration, endpoint exposure, auth configuration.