Google ADK .env & requirements.txt files !! #shorts #adk

This tutorial covers the essential configuration files for Google ADK (Agent Development Kit) projects: .env and requirements.txt. The .env file stores environment variables and sensitive credentials, while requirements.txt lists Python dependencies. Understanding these files is fundamental for setting up and managing Python-based AI agent projects with Google ADK.

Key Points

• •.env file stores environment variables and sensitive configuration data (API keys, credentials) that should never be committed to version control
• •requirements.txt lists all Python package dependencies needed for the project to run properly
• •.env files should be added to .gitignore to prevent accidental exposure of secrets
• •Use python-dotenv library to load environment variables from .env file into your Python application
• •requirements.txt can be generated using 'pip freeze > requirements.txt' to capture current project dependencies
• •Separate sensitive data (in .env) from code configuration (in requirements.txt) follows security best practices
• •Google ADK projects require proper dependency management to ensure reproducible environments across development and production

Workflow Diagram

Concepts

Artifacts (4)

# Google ADK Configuration
GOOGLE_API_KEY=your_api_key_here
GOOGLE_PROJECT_ID=your_project_id
AGENT_NAME=my_agent
DEBUG=False

google-adk>=1.0.0
python-dotenv>=0.19.0
requests>=2.28.0
pydantic>=1.9.0

.env
.env.local
__pycache__/
*.pyc
.venv/
venv/

from dotenv import load_dotenv
import os

# Load environment variables from .env file
load_dotenv()

# Access environment variables
api_key = os.getenv('GOOGLE_API_KEY')
project_id = os.getenv('GOOGLE_PROJECT_ID')
agent_name = os.getenv('AGENT_NAME')

print(f"Agent: {agent_name}")
print(f"Project: {project_id}")