import json
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.utils.log import log_info
# In-memory database to store user shopping lists
# Organized by user ID and session ID
shopping_list = {}
def add_item(agent: Agent, item: str) -> str:
"""Add an item to the current user's shopping list."""
current_user_id = agent.session_state["current_user_id"]
current_session_id = agent.session_state["current_session_id"]
shopping_list.setdefault(current_user_id, {}).setdefault(
current_session_id, []
).append(item)
return f"Item {item} added to the shopping list"
def remove_item(agent: Agent, item: str) -> str:
"""Remove an item from the current user's shopping list."""
current_user_id = agent.session_state["current_user_id"]
current_session_id = agent.session_state["current_session_id"]
if (
current_user_id not in shopping_list
or current_session_id not in shopping_list[current_user_id]
):
return f"No shopping list found for user {current_user_id} and session {current_session_id}"
if item not in shopping_list[current_user_id][current_session_id]:
return f"Item '{item}' not found in the shopping list for user {current_user_id} and session {current_session_id}"
shopping_list[current_user_id][current_session_id].remove(item)
return f"Item {item} removed from the shopping list"
def get_shopping_list(agent: Agent) -> str:
"""Get the current user's shopping list."""
current_user_id = agent.session_state["current_user_id"]
current_session_id = agent.session_state["current_session_id"]
return f"Shopping list for user {current_user_id} and session {current_session_id}: \n{json.dumps(shopping_list[current_user_id][current_session_id], indent=2)}"
# Create an Agent that maintains state
agent = Agent(
model=OpenAIChat(id="gpt-4o-mini"),
tools=[add_item, remove_item, get_shopping_list],
# Reference the in-memory database
instructions=[
"Current User ID: {current_user_id}",
"Current Session ID: {current_session_id}",
],
# Important: Add the state in the instructions
add_state_in_messages=True,
markdown=True,
)
user_id_1 = "john_doe"
user_id_2 = "mark_smith"
user_id_3 = "carmen_sandiago"
# Example usage
agent.print_response(
"Add milk, eggs, and bread to the shopping list",
stream=True,
user_id=user_id_1,
session_id="user_1_session_1",
)
agent.print_response(
"Add tacos to the shopping list",
stream=True,
user_id=user_id_2,
session_id="user_2_session_1",
)
agent.print_response(
"Add apples and grapesto the shopping list",
stream=True,
user_id=user_id_3,
session_id="user_3_session_1",
)
agent.print_response(
"Remove milk from the shopping list",
stream=True,
user_id=user_id_1,
session_id="user_1_session_1",
)
agent.print_response(
"Add minced beef to the shopping list",
stream=True,
user_id=user_id_2,
session_id="user_2_session_1",
)
# What is on Mark Smith's shopping list?
agent.print_response(
"What is on Mark Smith's shopping list?",
stream=True,
user_id=user_id_2,
session_id="user_2_session_1",
)
# New session, so new shopping list
agent.print_response(
"Add chicken and soup to my list.",
stream=True,
user_id=user_id_2,
session_id="user_3_session_2",
)
print(f"Final shopping lists: \n{json.dumps(shopping_list, indent=2)}")
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Set your API key
export OPENAI_API_KEY=xxx
Install libraries
pip install -U openai agno
Run Example
python cookbook/agent_concepts/state/session_state_user_id.py