> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc-studio-tools-doc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# User Input Required Async

> This example demonstrates how to use the requires_user_input parameter with asynchronous operations. It shows how to collect specific user input fields in an async environment.

<Steps>
  <Step title="Create a Python file">
    ```python user_input_required_async.py theme={null}
    import asyncio
    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 = asyncio.run(
        agent.arun("Send an email with the subject 'Hello' and the body 'Hello, world!'")
    )
    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}: ")
                    else:
                        print(f"Value: {field.value}")
                        user_value = field.value

                    # Update the field value
                    field.value = user_value

        run_response = asyncio.run(agent.acontinue_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!'")

    ```
  </Step>

  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
        export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
        $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python user_input_required_async.py
    ```
  </Step>
</Steps>