# Here is your PerfectPythonProductionPEP8® AGI code you requested:

from dataclasses import dataclass, field
from typing import Union

from fgn.completion.chat import Chat
from typetemp.environment.typed_environment import TypedEnvironment  # Typed environment class
from typetemp.environment.typed_native_environment import TypedNativeEnvironment  # Native typed environment class
from typetemp.template.typed_template import TypedTemplate  # Base TypedTemplate class

# Initializing environment instances
_env = TypedEnvironment()
_native_env = TypedNativeEnvironment()


@dataclass
class TypedPrompt(TypedTemplate):
    """
    This class extends TypedTemplate to incorporate a TypedPrompt functionality
    along with the Chat class for conversational capabilities.

    - user_input: Stores the input from the user.
    - chat_inst: An instance of the Chat class for conversational capabilities.
    - output: Holds the output returned from the Chat class.
    - sys_msg: A system message to indicate the role of this instance.
    - model: The model version to be used in the Chat class. Default is "3".
    """

    user_input: str = None  # Input from the user
    chat_inst: Chat = field(default_factory=Chat)  # Initialize an instance of Chat class
    output: Union[str, dict] = None  # To hold the output from the chat
    sys_msg: str = "You are a prompt AI assistant."  # System message to define the role
    model: str = "3"  # Model version for the Chat class, default is "3"

    def __call__(self, **kwargs) -> Union[str, dict]:
        """
        This method is invoked when the class instance is called. It performs the following:
        1. Calls the _render() method from the mixin class TypedTemplate to generate a rendered prompt.
        2. Passes the rendered prompt to the Chat instance for user interaction.
        3. Saves and optionally prints the output from the Chat instance.

        **kwargs: Keyword arguments for replacing variables in the template.
        """

        # Render the prompt using _render() from TypedTemplate
        rendered_prompt = self._render(**kwargs)

        # Pass the rendered prompt to the Chat instance for OpenAI interaction
        self.output = self.chat_inst(prompt=rendered_prompt, sys_msg=self.sys_msg, model=self.model)

        if self.to == "stdout":
            print(self.output)

        return self.output


if __name__ == "__main__":
    # Instantiate TypedPrompt class
    typed_prompt = TypedPrompt(source="Hello {{ name }}! How are you doing today?",
                               to="stdout")

    # Call the instance to render the prompt and interact with the user
    user_input = typed_prompt(name="John Doe")

    print(f"User input: {user_input}")  # Print the collected user input
