Documentation Index Fetch the complete documentation index at: https://docs.xpander.ai/llms.txt
Use this file to discover all available pages before exploring further.
Virtual Environment Setup python3 -m venv .venv source .venv/bin/activate pip install "xpander-sdk[agno]"
Environment Setup The .env file is created when you download your agent code: This downloads your agent code from the platform with the .env file pre-configured with your keys. from dotenv import load_dotenv load_dotenv() from xpander_sdk import Backend from agno.agent import Agent # Initialize Xpander Backend backend = Backend() # Create agent with backend configuration agno_agent = Agent(**backend.get_args()) # Test stateful conversation agno_agent.print_response( message = "What's your role?" ) agno_agent.print_response( message = "What did I ask you?" )
How to Run python hello_world_example.py
This example shows Xpander Backend integration providing automatic agent configuration, centralized management through the dashboard, and stateful memory where the agent remembers previous interactions and maintains context across multiple messages.
Production Deployment For creating and deploying agents to production, see the Setup and Deployment Guide . 
