Build Your First AI Agent with Google ADK & Python SDK

Google’s Agent Development Kit (ADK) makes it straightforward to create powerful, tool-using AI agents in Python (with SDKs also available for TypeScript, Go, Java, and Kotlin). Install it quickly with pip install google-adk, then define agents that can call external APIs, reason over results, and respond intelligently.

In this practical walkthrough, we build a command-line AI agent that answers science and math questions by querying Wolfram Alpha’s Short Answers API. The agent leverages a free model (such as DeepSeek via OpenCode/compatible providers) for reasoning and falls back gracefully when needed. You’ll see how to:

• Set up the project and provide clear instructions plus documentation references
• Integrate an external API (Wolfram Alpha App ID) as a tool
• Choose and configure a free or paid LLM backend
• Generate a clean CLI utility that accepts natural-language questions
• Test it live with real queries (e.g., planetary distances)

The ADK handles the agent loop, tool calling, and orchestration so you can focus on the logic. Whether you’re prototyping a research helper, data-fetching bot, or more complex multi-agent system, the Python SDK gives you a solid, production-ready foundation.

Watch the full step-by-step tutorial—including setup, prompting, implementation.

Start building smarter agents today with Google ADK.