// Defining a data model.
class ChessMove {
  piece_name PieceName
  starting_square string
  end_square string
  is_capture bool
}

enum PieceName {
  Pawn
  Bishop
  Knight
  Rook
  Queen
  King
}

function ExtractChessMove(agent_string: string, board_state: string) -> ChessMove {
  client Llama2

  prompt #"
    I will provide you with a text prompt. Based on this, you must first identify whether or not a chess move is described, and if yes then you must return the move. 
    
    The text is as follows:
    
    {{ agent_string }}

    {{ ctx.output_format }}

    Here is also the current state of the board so you can understand the context of the text above.

    {{ board_state }}

    If the move does NOT contain a chess move, return 

    piece_name -> None
    starting_square -> 'None'
    end_square -> 'None'
    is_capture -> 'False'

    There are more ways that one to verify if you made a correct analysis, so for each correct one you will be rewarded. 
    
    Use Chain of Thought methods for this above analysis.

  "#
}

// Test the function with a sample resume. Open the VSCode playground to run this.