multi_agent.py

import chess, chess.svg, getpass, json, os
from autogen import ConversableAgent, register_function
from IPython.display import SVG, display
from typing_extensions import Annotated

made_move = False

board = chess.Board()

def get_legal_moves() -> Annotated[str, "A list of legal moves in UCI format"]:
    return "Possible moves are: " + ",".join(
        [str(move) for move in board.legal_moves]
    )

def make_move(move: Annotated[str, "A move in UCI format."]) -> Annotated[str, "Result of the move."]:
    move = chess.Move.from_uci(move)
    board.push_uci(str(move))
    global made_move
    made_move = True

    display(SVG(chess.svg.board(
        board,
        arrows=[(move.from_square, move.to_square)],
        fill={move.from_square: "gray"},
        size=200
    )))

    piece = board.piece_at(move.to_square)
    piece_symbol = piece.unicode_symbol()
    piece_name = (
        chess.piece_name(piece.piece_type).capitalize()
        if piece_symbol.isupper()
        else chess.piece_name(piece.piece_type)
    )
    return f"Moved {piece_name} ({piece_symbol}) from "\
    f"{chess.SQUARE_NAMES[move.from_square]} to "\
    f"{chess.SQUARE_NAMES[move.to_square]}."

def check_made_move(msg):
    global made_move
    if made_move:
        made_move = False
        return True
    else:
        return False

def run_multi_agent(llm):   
    llm_config = {"model": llm}
    
    board_proxy = ConversableAgent(
        name="Board Proxy",
        llm_config=False,
        is_termination_msg=check_made_move,
        default_auto_reply="Please make a move.",
        human_input_mode="NEVER",
    )
    
    player_white = ConversableAgent(
        name="Player White",
        system_message="You are a chess player and you play as white. "
        "First call get_legal_moves(), to get a list of legal moves. "
        "Then call make_move(move) to make a move. "
        "After a move is made, chitchat about the move in chess jargon.",
        llm_config=llm_config,
    )
    
    player_black = ConversableAgent(
        name="Player Black",
        system_message="You are a chess player and you play as black. "
        "First call get_legal_moves(), to get a list of legal moves. "
        "Then call make_move(move) to make a move. "
        "After a move is made, chitchat about the move in chess jargon.",
        llm_config=llm_config,
    )
    
    for caller in [player_white, player_black]:
        register_function(
            get_legal_moves,
            caller=caller,
            executor=board_proxy,
            name="get_legal_moves",
            description="Get legal moves.",
        )
    
        register_function(
            make_move,
            caller=caller,
            executor=board_proxy,
            name="make_move",
            description="Call this tool to make a move.",
        )
    
    player_white.register_nested_chats(
        trigger=player_black,
        chat_queue=[
            {
                "sender": board_proxy,
                "recipient": player_white,
                "summary_method": "last_msg",
                "silent": True,
            }
        ],
    )
    
    player_black.register_nested_chats(
        trigger=player_white,
        chat_queue=[
            {
                "sender": board_proxy,
                "recipient": player_black,
                "summary_method": "last_msg",
                "silent": True,
            }
        ],
    )
       
    chat_result = player_black.initiate_chat(
        player_white,
        message="Let's play chess! Your move.",
        max_turns=3,
        verbose=False
    )

    chat_history = chat_result.chat_history
    
    print(chat_history)

    messages = json.loads(chat_history)
    
    for message in messages:
        result += f"AI Player White: {message['content']}"
    
    return result