Create multi_agent.py
Browse files- multi_agent.py +178 -0
multi_agent.py
ADDED
@@ -0,0 +1,178 @@
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import chess, chess.svg, math
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from autogen import ConversableAgent, register_function
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from typing_extensions import Annotated
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board = None
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board_svgs = None
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made_move = None
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def get_legal_moves() -> Annotated[str, "A list of legal moves in UCI format"]:
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return "Possible moves are: " + ",".join(
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[str(move) for move in board.legal_moves]
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)
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def make_move(move: Annotated[str, "A move in UCI format."]) -> Annotated[str, "Result of the move."]:
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move = chess.Move.from_uci(move)
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board.push_uci(str(move))
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global made_move
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made_move = True
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board_svgs.append(chess.svg.board(
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board,
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arrows=[(move.from_square, move.to_square)],
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fill={move.from_square: "gray"},
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size=250
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))
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piece = board.piece_at(move.to_square)
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piece_symbol = piece.unicode_symbol()
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piece_name = (
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chess.piece_name(piece.piece_type).capitalize()
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if piece_symbol.isupper()
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else chess.piece_name(piece.piece_type)
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)
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return f"Moved {piece_name} ({piece_symbol}) from "\
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f"{chess.SQUARE_NAMES[move.from_square]} to "\
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f"{chess.SQUARE_NAMES[move.to_square]}."
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def check_made_move(msg):
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global made_move
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if made_move:
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made_move = False
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return True
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else:
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return False
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def get_num_turns(num_moves):
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# Each turn includes two moves (one by each player)
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# The first move by player black kicks off the chat
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# The first move by player white starts the game
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num_turns = math.ceil(num_moves / 2)
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if num_moves % 2 == 0:
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num_turns += 1
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return num_turns
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def initialize():
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global board, board_svgs, made_move
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board = chess.Board()
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board_svgs = []
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made_move = False
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def run_multi_agent(llm_white, llm_black, num_moves):
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initialize()
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llm_config_white = {"model": llm_white}
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llm_config_black = {"model": llm_black}
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board_proxy = ConversableAgent(
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name="Board Proxy",
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llm_config=False,
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is_termination_msg=check_made_move,
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default_auto_reply="Please make a move.",
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human_input_mode="NEVER",
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)
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player_white = ConversableAgent(
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name="Player White",
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system_message="You are a chess Grandmaster and you play as white. "
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"First call get_legal_moves(), to get a list of legal moves. "
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"Then call make_move(move) to make a legal move. "
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"Analyze the move in 3 bullet points. Respond in format **Analysis:** move in UCI format, unordered list.",
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llm_config=llm_config_white,
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)
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player_black = ConversableAgent(
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name="Player Black",
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system_message="You are a chess Grandmaster and you play as black. "
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"First call get_legal_moves(), to get a list of legal moves. "
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"Then call make_move(move) to make a legal move. "
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"Analyze the move in 3 bullet points. Respond in format **Analysis:** move in UCI format, unordered list.",
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llm_config=llm_config_black,
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)
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for caller in [player_white, player_black]:
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register_function(
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get_legal_moves,
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caller=caller,
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executor=board_proxy,
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name="get_legal_moves",
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description="Call this tool to get legal moves.",
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)
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register_function(
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make_move,
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caller=caller,
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executor=board_proxy,
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name="make_move",
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description="Call this tool to make a move.",
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)
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player_white.register_nested_chats(
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trigger=player_black,
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chat_queue=[
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{
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"sender": board_proxy,
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"recipient": player_white,
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"summary_method": "last_msg",
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"silent": False,
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}
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],
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)
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player_black.register_nested_chats(
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trigger=player_white,
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chat_queue=[
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{
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"sender": board_proxy,
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"recipient": player_black,
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"summary_method": "last_msg",
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"silent": False,
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}
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],
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)
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chat_result = None
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chat_history = []
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try:
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chat_result = player_black.initiate_chat(
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player_white,
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message="Let's play chess!",
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max_turns=get_num_turns(num_moves),
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verbose=True
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)
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except Exception as e:
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print(f"Error: {e}")
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finally:
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if chat_result != None:
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chat_history = chat_result.chat_history
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result = ""
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num_move = 0
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for chat in chat_history:
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player = ""
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if num_move % 2 == 0:
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player = "Player Black"
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else:
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player = "Player White"
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if num_move > 0:
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result += f"**{player}, Move {num_move}**<br>{chat.get('content')}<br>{board_svgs[num_move - 1]}<br><br>"
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num_move += 1
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if num_moves % 2 == 0 and num_move == num_moves + 1:
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break
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#print("===")
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#print(result)
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#print("===")
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return result
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