Basic Session State Management

This example demonstrates how to create an agent with basic session state management, maintaining a shopping list across interactions using SQLite storage.

Code

session_state_basic.py

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat


def add_item(session_state, item: str) -> str:
    """Add an item to the shopping list."""
    session_state["shopping_list"].append(item)  # type: ignore
    return f"The shopping list is now {session_state['shopping_list']}"  # type: ignore


# Create an Agent that maintains state
agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    # Initialize the session state with a counter starting at 0 (this is the default session state for all users)
    session_state={"shopping_list": []},
    db=SqliteDb(db_file="tmp/agents.db"),
    tools=[add_item],
    # You can use variables from the session state in the instructions
    instructions="Current state (shopping list) is: {shopping_list}",
    markdown=True,
)

# Example usage
agent.print_response("Add milk, eggs, and bread to the shopping list", stream=True)
print(f"Final session state: {agent.get_session_state()}")

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Install libraries

   pip install -U agno openai
   
3. Export your OpenAI API key

   Mac/Linux

     export OPENAI_API_KEY="your_openai_api_key_here"
   
4. Create a Python file

   Create a Python file and add the above code.

   touch session_state_basic.py
   
5. Run Agent

   Mac

   python session_state_basic.py
   
6. Find All Cookbooks

   Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:

   Agno Cookbooks on GitHub