Create a Python file
agentic_user_input.py
from typing import Any, Dict, List
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.tools import Toolkit
from agno.tools.function import UserInputField
from agno.tools.user_control_flow import UserControlFlowTools
from agno.utils import pprint
class EmailTools(Toolkit):
def __init__(self, *args, **kwargs):
super().__init__(
name="EmailTools", tools=[self.send_email, self.get_emails], *args, **kwargs
)
def send_email(self, subject: str, body: str, to_address: str) -> str:
"""Send an email to the given address with the given subject and body.
Args:
subject (str): The subject of the email.
body (str): The body of the email.
to_address (str): The address to send the email to.
"""
return f"Sent email to {to_address} with subject {subject} and body {body}"
def get_emails(self, date_from: str, date_to: str) -> list[dict[str, str]]:
"""Get all emails between the given dates.
Args:
date_from (str): The start date (in YYYY-MM-DD format).
date_to (str): The end date (in YYYY-MM-DD format).
"""
return [
{
"subject": "Hello",
"body": "Hello, world!",
"to_address": "test@test.com",
"date": date_from,
},
{
"subject": "Random other email",
"body": "This is a random other email",
"to_address": "john@doe.com",
"date": date_to,
},
]
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
tools=[EmailTools(), UserControlFlowTools()],
markdown=True,
db=SqliteDb(db_file="tmp/agentic_user_input.db"),
)
run_response = agent.run("Send an email with the body 'What is the weather in Tokyo?'")
# We use a while loop to continue the running until the agent is satisfied with the user input
while run_response.is_paused:
for requirement in run_response.active_requirements:
if requirement.needs_user_input:
input_schema: List[UserInputField] = requirement.user_input_schema # type: ignore
for field in input_schema:
# Get user input for each field in the schema
field_type = field.field_type # type: ignore
field_description = field.description # type: ignore
# Display field information to the user
print(f"\nField: {field.name}") # type: ignore
print(f"Description: {field_description}")
print(f"Type: {field_type}")
# Get user input
if field.value is None: # type: ignore
user_value = input(f"Please enter a value for {field.name}: ") # type: ignore
else:
print(f"Value: {field.value}") # type: ignore
user_value = field.value # type: ignore
# Update the field value
field.value = user_value # type: ignore
run_response = agent.continue_run(
run_id=run_response.run_id,
requirements=run_response.requirements,
)
if not run_response.is_paused:
pprint.pprint_run_response(run_response)
break
run_response = agent.run("Get me all my emails")
while run_response.is_paused:
for requirement in run_response.active_requirements:
if requirement.needs_user_input:
input_schema: Dict[str, Any] = requirement.user_input_schema # type: ignore
for field in input_schema:
# Get user input for each field in the schema
field_type = field.field_type # type: ignore
field_description = field.description # type: ignore
# Display field information to the user
print(f"\nField: {field.name}") # type: ignore
print(f"Description: {field_description}")
print(f"Type: {field_type}")
# Get user input
if field.value is None: # type: ignore
user_value = input(f"Please enter a value for {field.name}: ") # type: ignore
else:
print(f"Value: {field.value}") # type: ignore
user_value = field.value # type: ignore
# Update the field value
field.value = user_value # type: ignore
run_response = agent.continue_run(
run_id=run_response.run_id,
requirements=run_response.requirements,
)
if not run_response.is_paused:
pprint.pprint_run_response(run_response)
break