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Virtual Environment Setup

setup.sh
python3 -m venv .venv
source .venv/bin/activate
pip install "xpander-sdk[agno]"

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Environment Setup

The .env file is created when you download your agent code:
xpander init
This downloads your agent code from the platform with the .env file pre-configured with your keys.
session_management_example.py
from dotenv import load_dotenv
load_dotenv()

from xpander_sdk import Backend
from agno.agent import Agent

backend = Backend()
agno_agent = Agent(**backend.get_args())

# Tom's first session
agno_agent.print_response(
    message="Tell me a 5 second short story about a robot.", 
    user_id="tom", 
    session_id="tom_session1"
)

# Jerry's session
agno_agent.print_response(
    message="How many b in rabbit?", 
    user_id="jerry", 
    session_id="jerry_session1"
)

# Tom recalls his session
agno_agent.print_response(
    message="who am I, What did I ask you?", 
    user_id="tom", 
    session_id="tom_session1"
)

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How to Run

session_management_example.py
python session_management_example.py
This example shows user-specific memory where each user maintains separate conversation history, session isolation with clear boundaries between different contexts, and flexible access patterns. Tasks automatically include user sessions, making it seamless to maintain context in background processing without manual session management.

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Production Deployment

For creating and deploying agents to production, see the Setup and Deployment Guide.