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1

Create a Python file

Create a Python file and add the above code.
touch user_input_required_all_fields.py
2

Add the following code to your Python file

user_input_required_all_fields.py
from typing import List

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


@tool(requires_user_input=True)
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=OpenAIChat(id="gpt-4o-mini"),
    tools=[send_email],
    markdown=True,
    db=SqliteDb(db_file="tmp/example.db"),
)

run_response = agent.run("Send an email please")
if run_response.is_paused:  # Or agent.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
                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}: ")

                # Update the field value
                field.value = user_value

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

# Or for simple debug flow
# agent.print_response("Send an email please")

3

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
4

Install libraries

pip install -U agno openai
5

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
6

Run Agent

python user_input_required_all_fields.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