Creating an AI Agent with Google ADK: A Practical Guide
The Agent Development Kit (ADK) is a powerful, open-source Python framework designed for developers to create, manage, and deploy multi-agent systems. Its flexible architecture makes it ideal for both simple and complex applications. This guide will walk you through the process of creating a basic AI agent that can provide financial insights using Google ADK.
1. Setting Up Your Environment
1.1 Obtain Necessary API Keys
To utilize Google’s AI services and access financial data, you will need two API keys:
- Google API Key:
- Visit Google AI Studio.
- Sign in and generate your API key.
- Store it securely for future use.
- AlphaVantage API Key:
- Go to Alpha Vantage.
- Click “Get your free API key” and follow the instructions.
- Save the API key securely for authentication.
1.2 Install Required Python Libraries
To get started, install the Google ADK package using the following command:
pip install google-adk2. Structuring Your Project
Organize your project folder as follows:
parent_folder/
│
└───multi_agent/
├── __init__.py
├── agent.py
└── .env
2.1 Initialize Your Project Files
In the multi_agent/__init__.py file, include the following code:
from . import agentCreate a .env file in the multi_agent folder and add your API keys:
GOOGLE_GENAI_USE_VERTEXAI=FALSE
GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"
ALPHA_VANTAGE_API_KEY="YOUR_ALPHA_VANTAGE_API_KEY"2.2 Develop the Agent Logic
In the agent.py file, implement the following code to define your AI agent:
from google.adk.agents import Agent
import requests
import os
from typing import Optional
# Define functions to get company overview and earnings
# (Include the previously provided code for get_company_overview and get_earnings functions here)
root_agent = Agent(
name="Financial_analyst_agent",
model="gemini-2.0-flash",
description="Agent to give company overviews with key financial metrics.",
instruction="You are a helpful AI agent that provides company overviews and earnings information.",
tools=[get_company_overview, get_earnings],
)
3. Running Your AI Agent
To run your agent, navigate to the parent directory of your project:
cd parent_folder/Then execute the following command:
adk webOpen the provided URL (typically http://localhost:8000) in your browser. You will see a chat interface where you can interact with your agent.
4. Exploring AI in Business
Artificial intelligence can significantly enhance business processes. Here are some practical steps to consider:
- Identify Automation Opportunities: Look for repetitive tasks that AI can handle.
- Enhance Customer Interactions: Use AI to improve customer service and engagement.
- Measure Impact: Establish key performance indicators (KPIs) to assess the effectiveness of your AI initiatives.
- Choose the Right Tools: Select AI tools that align with your business goals and allow for customization.
- Start Small: Begin with a pilot project, analyze its success, and gradually expand your AI applications.
5. Conclusion
Creating an AI agent using Google ADK is a straightforward process that can lead to significant business benefits. By following this guide, you can develop a functional AI agent that provides valuable financial insights. Embrace AI technology to streamline operations and enhance decision-making in your organization.
If you need assistance in managing AI in your business, feel free to reach out to us at hello@itinai.ru or connect with us on Telegram, X, and LinkedIn.
