Code

cookbook/agent_concepts/user_control_flows/user_input_required_stream.py
from typing import List

from agno.agent import Agent
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, 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=OpenAIChat(id="gpt-4o-mini"),
    tools=[send_email],
    markdown=True,
)

for run_response in agent.run(
    "Send an email with the subject 'Hello' and the body 'Hello, world!'", stream=True
):
    if 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}: ")
                    # Update the field value
                    field.value = user_value
                else:
                    print(f"Value: {field.value}")

        run_response = agent.continue_run(stream=True)
    pprint.pprint_run_response(run_response)

Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.

python3 -m venv .venv
source .venv/bin/activate
2

Set your API key

export OPENAI_API_KEY=xxx
3

Install libraries

pip install -U agno openai
4

Run Example

python cookbook/agent_concepts/user_control_flows/user_input_required_stream.py

Key Features

  • Uses agent.run(stream=True) for streaming responses
  • Implements streaming continuation with agent.continue_run(stream=True)
  • Maintains real-time interaction with user input collection
  • Demonstrates how to handle streaming responses with user input

Use Cases

  • Real-time user interaction
  • Streaming applications requiring user input
  • Interactive form-like interfaces
  • Progressive response generation with user input