Create Agent Project
Create Agent Project
In this blog, you will learn the steps to create agent project using Python. Let’s break it down in simple terms, focusing on its structure and essential components. AI agents automated systems that can perform tasks, make decisions, and respond intelligently to inputs.
What is an Agent?
An agent in AI is a software entity that performs tasks autonomously based on user instructions or environmental inputs. These agents can range from virtual assistants and chatbots to automated decision-making tools.
Agent Development Kit (ADK)
The Agent Development Kit (ADK) is a set of tools, libraries, and templates used to build, configure, and deploy AI agents. It typically provides:
- Templates for creating new agent projects
- Pre-defined methods and classes to simplify development
- Integration with AI models like GPT
- Environment management for API keys and settings
The ADK helps both beginners and professionals create agents faster without building everything from scratch.
Simple Project Structure
When you generate a new agent using the Create Agent Project, it will look like this:
sample_agent/ __init__.py agent.py .env
Let’s explore what each of these files does:
__init__.py
This file makes the directory a Python package. It’s often empty or used to initialize variables or import parts of the package.
agent.py
This is the core file where the logic of the agent lives. It defines how the agent behaves, what tools it uses, how it responds to queries, and how it interacts with the AI models.
.env
This hidden file stores sensitive information like API keys and environment variables. It allows you to configure your agent without hardcoding credentials in your code.
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The ADK is a powerful way to get started with building AI agents. By understanding the role of each file and leveraging the Agent Development Kit, you can begin your journey into intelligent software development with ease.