AI Agent Java & Google ADK : 01 Setting Up (ADK, Local/Cloud LLM)

Hans on tutorial to learrn how to set up your environment for building AI agents using Java and the Google Agent Development Kit (ADK). In this tutorial, we walk through configuring both local Large Language Models (LLMs) using LM Studio and cloud-based models like Gemini. We’ll cover everything from project initialization in IntelliJ IDEA and managing Maven dependencies to setting up an Anthropic-compatible local server.

Whether you're looking to experiment without token costs or preparing for production with API proxies like Apigee, this guide gets your foundation ready for the next steps in AI agent development.

In this video, you will learn:

How to initialize a Java project with Google ADK.
Setting up a local LLM (Qwen/Gemma) using LM Studio.
Configuring Gemini API keys for cloud-based agents.
Creating a custom LocalLLM class in Java to interface with local servers.
Running the Google ADK Dev Server to visualize and debug your agents.

Video Timeline
00:00 - Introduction to AI Agents in Java & Google ADK
00:27 - Prerequisites: Java 17+, Maven, and ADK 1.1.0
01:06 - Creating a New Project in IntelliJ IDEA
01:27 - Adding Google ADK & Dev Server Dependencies
02:05 - Setting Up a Local LLM with LM Studio
03:03 - Downloading and Loading Models (Qwen & Gemma)
04:45 - Exploring LM Studio API Endpoints (OpenAI & Anthropic)
06:58 - Implementing the LocalLLM Class in Java
08:44 - Configuring Gemini for Cloud LLM Support
09:18 - Production Tips: Using LLM Proxies (Apigee)
10:30 - Starting the ADK Dev Server for Debugging

Slides:
https://akhilojha.github.io/google-adk-tutorial-slides/section-1

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Видео AI Agent Java & Google ADK : 01 Setting Up (ADK, Local/Cloud LLM) канала The Baseline Dev (TBD)