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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.

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Code

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

db = SqliteDb(db_file="tmp/agents.db")
agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    db=db,
    session_state={"shopping_list": []},
    add_session_state_to_context=True,  # Required so the agent is aware of the session state
    enable_agentic_state=True,
)

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

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

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

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U agno openai
3

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
4

Create a Python file

Create a Python file and add the above code.
touch agentic_session_state.py
5

Run Agent

python agentic_session_state.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
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