Create an agent using Google ADK library using Python. Integrate Openrouter models in Google ADK

This guide demonstrates how to create an AI agent using Google's Agent Development Kit (ADK) library in Python, with integration of OpenRouter models for LLM capabilities. The video covers setting up the Google ADK framework, configuring OpenRouter as the model provider, and building a functional agent that leverages open-source models. Key aspects include environment setup, authentication, model configuration, and agent initialization within the Google ADK ecosystem.

Key Points

• •Install and set up Google ADK library as the foundation for agent development in Python
• •Configure OpenRouter API credentials and authentication for accessing open-source/open-weight models
• •Integrate OpenRouter models into Google ADK by specifying model endpoints and parameters
• •Initialize an agent instance within Google ADK framework with OpenRouter as the LLM backend
• •Define agent capabilities, tools, and behaviors using Google ADK's agent configuration system
• •Test agent functionality and validate OpenRouter model responses through the ADK interface
• •Handle API calls and model inference through the integrated OpenRouter-ADK pipeline
• •Deploy and run the agent with proper error handling and logging mechanisms

Workflow Diagram

Concepts