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1

Create a Python file

user_input_required.py
from typing import List

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.tools import tool
from agno.tools.function import UserInputField
from agno.utils import pprint


# You can either specify the user_input_fields leave empty for all fields to be provided by the user
@tool(requires_user_input=True, user_input_fields=["to_address"])
def send_email(subject: str, body: str, to_address: str) -> str:
    """
    Send an email.

    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}"


agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[send_email],
    markdown=True,
    db=SqliteDb(db_file="tmp/example.db"),
)

run_response = agent.run(
    "Send an email with the subject 'Hello' and the body 'Hello, world!'"
)

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
            field_description = field.description

            # Display field information to the user
            print(f"\nField: {field.name}")
            print(f"Description: {field_description}")
            print(f"Type: {field_type}")

            # Get user input
            if field.value is None:
                user_value = input(f"Please enter a value for {field.name}: ")
            else:
                print(f"Value: {field.value}")
                user_value = field.value

            # Update the field value
            field.value = user_value

run_response = agent.continue_run(
    run_id=run_response.run_id,
    requirements=run_response.requirements,
)  # or agent.continue_run(run_response=run_response)
pprint.pprint_run_response(run_response)

# Or for simple debug flow
# agent.print_response("Send an email with the subject 'Hello' and the body 'Hello, world!'")

2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U agno openai
4

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
5

Run Agent

python user_input_required.py