Skip to main content
This example demonstrates how to enable agentic session state management, allowing the agent to automatically update and manage session state based on conversation context. The agent can modify the shopping list based on user interactions.
1

Create a Python file

agentic_session_state.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses

db = SqliteDb(db_file="tmp/agents.db")
agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    db=db,
    session_state={"shopping_list": []},
    add_session_state_to_context=True,
    enable_agentic_state=True,
)

agent.print_response("Add milk, eggs, and bread to the shopping list", stream=True)

agent.print_response("I picked up the eggs, now what's on my list?", stream=True)

print(f"Session state: {agent.get_session_state()}")
2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U agno openai
4

Export your OpenAI API key

​
Set OpenAI Key

Set your OPENAI_API_KEY as an environment variable. You can get one from OpenAI.
export OPENAI_API_KEY=sk-***
5

Run Agent

python agentic_session_state.py