1
Create a Python file
Create a Python file for the example.
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touch agentic_user_input.py
2
Add the following code to your Python file
agentic_user_input.py
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from typing import Any, Dict, List
from agno.agent import Agent
from agno.models.openai import OpenAIChat
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=OpenAIChat(id="gpt-5-mini"),
tools=[EmailTools(), UserControlFlowTools()],
markdown=True,
)
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 tool in run_response.tools_requiring_user_input:
input_schema: List[UserInputField] = tool.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_response=run_response)
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 tool in run_response.tools_requiring_user_input:
input_schema: Dict[str, Any] = tool.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_response=run_response)
if not run_response.is_paused:
pprint.pprint_run_response(run_response)
break
3
Create a virtual environment
Open the
Terminal and create a python virtual environment.Copy
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python3 -m venv .venv
source .venv/bin/activate
4
Install libraries
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pip install -U agno openai
5
Export your OpenAI API key
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export OPENAI_API_KEY="your_openai_api_key_here"
6
Run Agent
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python agentic_user_input.py
7
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