state_with_agent.py
"""
State With Agent
================
Demonstrates sharing mutable workflow session state across agent tool calls.
"""
from agno.agent.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai.chat import OpenAIChat
from agno.run import RunContext
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow
# ---------------------------------------------------------------------------
# Create Database
# ---------------------------------------------------------------------------
db = SqliteDb(db_file="tmp/workflow.db")
# ---------------------------------------------------------------------------
# Define Session-State Tools
# ---------------------------------------------------------------------------
def add_item(run_context: RunContext, item: str) -> str:
if run_context.session_state is None:
run_context.session_state = {}
existing_items = [
existing_item.lower()
for existing_item in run_context.session_state["shopping_list"]
]
if item.lower() not in existing_items:
run_context.session_state["shopping_list"].append(item)
return f"Added '{item}' to the shopping list."
return f"'{item}' is already in the shopping list."
def remove_item(run_context: RunContext, item: str) -> str:
if run_context.session_state is None:
run_context.session_state = {}
if len(run_context.session_state["shopping_list"]) == 0:
return f"Shopping list is empty. Cannot remove '{item}'."
shopping_list = run_context.session_state["shopping_list"]
for i, existing_item in enumerate(shopping_list):
if existing_item.lower() == item.lower():
removed_item = shopping_list.pop(i)
return f"Removed '{removed_item}' from the shopping list."
return f"'{item}' not found in the shopping list."
def remove_all_items(run_context: RunContext) -> str:
if run_context.session_state is None:
run_context.session_state = {}
run_context.session_state["shopping_list"] = []
return "Removed all items from the shopping list."
def list_items(run_context: RunContext) -> str:
if run_context.session_state is None:
run_context.session_state = {}
if len(run_context.session_state["shopping_list"]) == 0:
return "Shopping list is empty."
items = run_context.session_state["shopping_list"]
items_str = "\n".join([f"- {item}" for item in items])
return f"Shopping list:\n{items_str}"
# ---------------------------------------------------------------------------
# Create Agents
# ---------------------------------------------------------------------------
shopping_assistant = Agent(
name="Shopping Assistant",
model=OpenAIChat(id="gpt-5.2"),
tools=[add_item, remove_item, list_items],
instructions=[
"You are a helpful shopping assistant.",
"You can help users manage their shopping list by adding, removing, and listing items.",
"Always use the provided tools to interact with the shopping list.",
"Be friendly and helpful in your responses.",
],
)
list_manager = Agent(
name="List Manager",
model=OpenAIChat(id="gpt-5.2"),
tools=[list_items, remove_all_items],
instructions=[
"You are a list management specialist.",
"You can view the current shopping list and clear it when needed.",
"Always show the current list when asked.",
"Confirm actions clearly to the user.",
],
)
# ---------------------------------------------------------------------------
# Define Steps
# ---------------------------------------------------------------------------
manage_items_step = Step(
name="manage_items",
description="Help manage shopping list items (add/remove)",
agent=shopping_assistant,
)
view_list_step = Step(
name="view_list",
description="View and manage the complete shopping list",
agent=list_manager,
)
# ---------------------------------------------------------------------------
# Create Workflow
# ---------------------------------------------------------------------------
shopping_workflow = Workflow(
name="Shopping List Workflow",
db=db,
steps=[manage_items_step, view_list_step],
session_state={"shopping_list": []},
)
# ---------------------------------------------------------------------------
# Run Workflow
# ---------------------------------------------------------------------------
if __name__ == "__main__":
print("=== Example 1: Adding Items ===")
shopping_workflow.print_response(
input="Please add milk, bread, and eggs to my shopping list."
)
print("Workflow session state:", shopping_workflow.get_session_state())
print("\n=== Example 2: Adding More Items ===")
shopping_workflow.print_response(
input="Add apples and bananas to the list, then show me the complete list."
)
print("Workflow session state:", shopping_workflow.get_session_state())
print("\n=== Example 3: Removing Items ===")
shopping_workflow.print_response(
input="Remove bread from the list and show me what's left."
)
print("Workflow session state:", shopping_workflow.get_session_state())
print("\n=== Example 4: Clearing List ===")
shopping_workflow.print_response(
input="Clear the entire shopping list and confirm it's empty."
)
print("Final workflow session state:", shopping_workflow.get_session_state())
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno fastapi openai sqlalchemy
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
state_with_agent.py, then run:python state_with_agent.py