Google ADK

Teams on Google Cloud need agent frameworks that integrate with Vertex AI, BigQuery, Cloud Run, and Gemini models natively. ADK provides the scaffolding — agent definitions, tool bindings, evaluation, and deployment — optimized for the Google ecosystem.

Google ADK is like Android for agents — if you're already in the Google ecosystem (Gemini, Vertex, GCP), it provides the native SDK that integrates seamlessly with your existing infrastructure.

Scenario

Enterprise knowledge agent on ADK: user asks about company policy → agent uses Vertex AI Search (grounded on internal docs) → Gemini generates answer with citations → deployed on Vertex AI Agent Engine with auto-scaling.

Solution

In Agent Frameworks, apply Google ADK to this scenario: Enterprise knowledge agent on ADK: user asks about company policy → agent uses Vertex AI Search (grounded on internal docs) → Gemini generates answer with citations → deployed on Vertex AI Agent Engine with auto-scaling. Identify the inputs, run the technique, validate the output, and note one thing you would monitor in production.

Do this before moving to the next module — reading alone is not enough.

Open the Code Walkthrough below and run it locally. Change one parameter related to Google ADK (e.g. model, temperature, top_k, or tool name), observe the difference in output, and write 2–3 sentences explaining what changed.

Highlighted lines show where Google ADK happens in the code.

1from google.adk.agents import Agent  # import dependencies2from google.adk.tools import google_search, vertex_ai_search  # import dependencies3from google.adk.runners import Runner  # import dependencies4
5agent = Agent(6    name="enterprise_assistant",7    model="gemini-2.0-flash",8    instruction="You are an enterprise assistant. Use Vertex AI Search for company docs.",9    tools=[vertex_ai_search, google_search],  # key line for Google ADK10)11
12runner = Runner(agent=agent)13response = runner.run(14    session_id="user-123",15    message="What is our remote work policy?",16)

• Using ADK outside Google Cloud — ecosystem lock-in
• Not leveraging Vertex AI Search for enterprise RAG
• Ignoring built-in evaluation framework
• No session management — stateless agent calls
• Over-customizing when built-in tools suffice

Quick recap — the most important points from this module.