Dynamic User Input (Agentic)

from typing import List

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.function import UserInputField
from agno.tools.toolkit import Toolkit
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) -> 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-4o-mini"),
    tools=[EmailTools(), UserControlFlowTools()],
    markdown=True,
    debug_mode=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

        for field in input_schema:
            # Display field information to the user
            print(f"\nField: {field.name}")
            print(f"Description: {field.description}")
            print(f"Type: {field.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_response=run_response)
    if not run_response.is_paused:
        pprint.pprint_run_response(run_response)
        break