Building Agents with Google ADK
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Complete developer reference for building, orchestrating, evaluating, and deploying agents with Google ADK (Python). Covers tools, multi-agent systems, memory, callbacks, plugins, and production deployment.
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Building Agents with Google ADK
A Developer's Reference for Production Agent Development
Load this book when:
- Building, debugging, or deploying a Google ADK agent (Python or Java).
- Choosing an orchestration pattern (Sequential / Loop / Parallel / Workflow graph) or a Gemini model for an ADK agent.
- Migrating an ADK 1.x project to 2.0, or resolving an import/dependency error after an upgrade.
- Setting up local testing, evaluation, or deployment to Cloud Run / Vertex AI Agent Engine.
Audience: marketplace reference. Last updated: 2026-06-14. Scope of validity: ADK Python 2.2.0 (2026-06-04, latest stable on the 2.x line) — note the 1.x line is still maintained in parallel and is at v1.35.0 (2026-06-10), so 1.27.2 (referenced in Ch 17) is NOT the 1.x head; ADK Java 1.4.0. Refresh cadence: every minor ADK release (~bi-weekly) — this is volatile/tactical API content (see Writing Books for AI Agents, Ch 14, RULE 14.4).
Version coverage: v1.27.2 (March 2026) · ADK 2.0 Alpha notes in Chapter 14corrected 2026-06-14: ADK 2.0 reached GA on 2026-05-19; latest stable is v2.2.0 (2026-06-04). See Chapter 15.