1
Create a Python file
session_state_basic.py
2
Set up your virtual environment
3
Install dependencies
4
Export your OpenAI API key
5
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Store and update a shopping list in agent session state backed by SQLite.
Create a Python file
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.run import RunContext
def add_item(run_context: RunContext, item: str) -> str:
"""Add an item to the shopping list."""
if run_context.session_state is None:
run_context.session_state = {}
run_context.session_state["shopping_list"].append(item)
return f"The shopping list is now {run_context.session_state['shopping_list']}"
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
session_state={"shopping_list": []},
db=SqliteDb(db_file="tmp/agents.db"),
tools=[add_item],
instructions="Current state (shopping list) is: {shopping_list}",
markdown=True,
)
agent.print_response("Add milk, eggs, and bread to the shopping list", stream=True)
print(f"Final session state: {agent.get_session_state()}")
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno openai sqlalchemy
Export your OpenAI API key
OPENAI_API_KEY as an environment variable. You can get one from OpenAI.export OPENAI_API_KEY=sk-***
setx OPENAI_API_KEY sk-***
Run Agent
python session_state_basic.py
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