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{
"cells": [
{
"cell_type": "markdown",
"id": "e6da6609-8887-416f-ba9a-d08892fb5cee",
"metadata": {},
"source": [
"# Prototype Connect Four battle\n",
"\n",
"Pit LLMs against each other in a game of Connect Four"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7c154063-8f36-426f-ae54-346acc5ba58d",
"metadata": {
"collapsed": false,
"is_executing": true,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"from openai import OpenAI\n",
"from dotenv import load_dotenv\n",
"import json"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7446303a-d699-4816-b8dd-52da09add974",
"metadata": {},
"outputs": [],
"source": [
"load_dotenv(override=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "28740858-38f3-4aaf-9185-ec636a45ba75",
"metadata": {},
"outputs": [],
"source": [
"# Some constants\n",
"\n",
"RED = 1\n",
"YELLOW = -1\n",
"EMPTY = 0\n",
"show = {EMPTY:\"⚪️\", RED: \"🔴\", YELLOW: \"🟡\"}\n",
"pieces = {EMPTY: \"empty\", RED: \"red\", YELLOW: \"yellow\"}\n",
"cols = \"ABCDEFG\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "668559eb-3542-4320-8029-eb20fda90fde",
"metadata": {},
"outputs": [],
"source": [
"# The Game Board\n",
"\n",
"class Board:\n",
"\n",
" def __init__(self):\n",
" self.cells = [[EMPTY for _ in range(7)] for _ in range(6)]\n",
" self.player = RED\n",
" self.winner = EMPTY\n",
"\n",
" def __repr__(self):\n",
" result = \"\"\n",
" for y in range(6):\n",
" for x in range(7):\n",
" result += show[self.cells[5-y][x]]\n",
" result += \"\\n\"\n",
" if self.winner:\n",
" result += f\"\\n{show[self.winner]} wins\\n\"\n",
" else:\n",
" result += f\"\\n{show[self.player]} to play\\n\"\n",
" return result\n",
"\n",
" def json(self):\n",
" result = \"{\\n\"\n",
" result += ' \"Column names\": [\"A\", \"B\", \"C\", \"D\", \"E\", \"F\", \"G\"],\\n'\n",
" for y in range(6):\n",
" result += f' \"Row {6-y}\": [' \n",
" for x in range(7):\n",
" result += f'\"{pieces[self.cells[5-y][x]]}\", '\n",
" result = result[:-2] + '],\\n'\n",
" result = result[:-2]+'\\n}'\n",
" return result "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ec586c38-f396-4cb2-95ef-c8e6d067d19b",
"metadata": {},
"outputs": [],
"source": [
"# See the game board\n",
"\n",
"Board()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2a17c172-f711-4ebd-9aae-3f1f35665433",
"metadata": {},
"outputs": [],
"source": [
"# And the json representation\n",
"\n",
"print(Board().json())"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c5ad4649-0a48-47b1-bb04-ee28fd6808b2",
"metadata": {},
"outputs": [],
"source": [
"# Some useful methods\n",
"\n",
"def height(self, x):\n",
" height = 0\n",
" while height<6 and self.cells[height][x] != EMPTY:\n",
" height += 1\n",
" return height\n",
"\n",
"def legal_moves(self):\n",
" return [cols[x] for x in range(7) if self.height(x)<6]\n",
"\n",
"def move(self, x):\n",
" self.cells[self.height(x)][x] = self.player\n",
" self.player = -1 * self.player\n",
"\n",
"Board.height = height\n",
"Board.legal_moves = legal_moves\n",
"Board.move = move"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3da4a6df-0217-492b-a050-9488849ff2a3",
"metadata": {},
"outputs": [],
"source": [
"b = Board()\n",
"b.move(3)\n",
"b.move(3)\n",
"b.move(2)\n",
"b"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7f5d0b85-aaf8-4d55-bf18-8602dade4cf3",
"metadata": {},
"outputs": [],
"source": [
"b.legal_moves()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9dffa507-e865-4379-a765-cd27032ff657",
"metadata": {},
"outputs": [],
"source": [
"# Test for winning move\n",
"\n",
"def winning_line(self, x, y, dx, dy):\n",
" color = self.cells[y][x]\n",
" for pointer in range(1, 4):\n",
" xp = x + dx * pointer\n",
" yp = y + dy * pointer\n",
" if not (0 <= xp <= 6 and 0 <= yp <= 5) or self.cells[yp][xp] != color:\n",
" return EMPTY\n",
" return color\n",
"\n",
"def winning_cell(self, x, y):\n",
" for dx, dy in ((0, 1), (1, 1), (1, 0), (1, -1)):\n",
" if winner := self.winning_line(x, y, dx, dy):\n",
" return winner\n",
" return EMPTY\n",
"\n",
"def wins(self):\n",
" for y in range(6):\n",
" for x in range(7):\n",
" if winner := self.winning_cell(x, y):\n",
" return winner\n",
" return EMPTY\n",
"\n",
"def move(self, x):\n",
" self.cells[self.height(x)][x] = self.player\n",
" if winner := self.wins():\n",
" self.winner = winner\n",
" else:\n",
" self.player = -1 * self.player\n",
" return self\n",
"\n",
"Board.winning_line = winning_line\n",
"Board.winning_cell = winning_cell\n",
"Board.wins = wins\n",
"Board.move = move"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "65dc68e5-54a3-4e9f-8cee-008bbe313b20",
"metadata": {},
"outputs": [],
"source": [
"b = Board()\n",
"b.move(2).move(3).move(2).move(3).move(2).move(3).move(2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "29c68043-cd96-49aa-9a30-ad1ac7f9c00b",
"metadata": {},
"outputs": [],
"source": [
"# And now - a player that calls gpt-4o-mini\n",
"\n",
"class Player:\n",
"\n",
" def __init__(self, model, color):\n",
" self.color = color\n",
" self.model = model\n",
" self.llm = OpenAI()\n",
"\n",
" def system(self, board):\n",
" legal_moves = \", \".join(board.legal_moves())\n",
" return f\"\"\"You are an expert player of the board game Connect 4.\n",
"Players take turns to drop counters into one of 7 columns labelled A, B, C, D, E, F, G.\n",
"The winner is the first player to get 4 coins in a row in a straight or diagonal line.\n",
"You are playing with the {pieces[self.color]} coins.\n",
"And your opponent is playing with the {pieces[self.color * -1]} coins.\n",
"You will be presented with the board and asked to pick a column to drop your piece.\n",
"You must pick one of the following legal moves: {legal_moves}. You must pick one of those letters.\n",
"You should respond in JSON, and only in JSON, according to this spec:\n",
"\n",
"{{\n",
" \"evaluation\": \"brief assessment of the board\",\n",
" \"threats\": \"any threats from your opponent or weaknesses in your position\",\n",
" \"opportunities\": \"any opportunities to gain the upper hand or strengths in your position\",\n",
" \"strategy\": \"the thought process behind your next move\",\n",
" \"move_column\": \"one letter from this list of legal moves: {legal_moves}\"\n",
"}}\"\"\"\n",
"\n",
" def user(self, board):\n",
" legal_moves = \", \".join(board.legal_moves())\n",
" return f\"\"\"It is your turn to make a move as {pieces[self.color]}.\n",
"The current board position is:\n",
"\n",
"{board.json()}\n",
"\n",
"Now with this in mind, make your decision. Respond only in JSON strictly according to this spec:\n",
"\n",
"{{\n",
" \"evaluation\": \"brief assessment of the board\",\n",
" \"threats\": \"any threats from your opponent or weaknesses in your position\",\n",
" \"opportunities\": \"any opportunities to gain the upper hand or strengths in your position\",\n",
" \"strategy\": \"the thought process behind your next move\",\n",
" \"move_column\": \"one of {legal_moves} which are the legal moves\"\n",
"}}\n",
"\n",
"You must pick one of these letters for your move_column: {legal_moves}\n",
"\n",
"\"\"\"\n",
"\n",
" def process_move(self, reply):\n",
" print(reply)\n",
" try:\n",
" result = json.loads(reply)\n",
" move = result.get(\"move_column\") or \"\"\n",
" move = move.upper()\n",
" col = cols.find(move)\n",
" if not (0 <= col <= 6) or board.height(col)==6:\n",
" raise ValueError(\"Illegal move\")\n",
" board.move(col)\n",
" except Exception as e:\n",
" print(f\"Exception {e}\")\n",
" board.winner = -1 * board.player\n",
" \n",
" \n",
" def move(self, board):\n",
" system = self.system(board)\n",
" user = self.user(board)\n",
" reply = self.llm.chat.completions.create(\n",
" model=self.model,\n",
" messages=[\n",
" {\"role\": \"system\", \"content\": system},\n",
" {\"role\": \"user\", \"content\": user}\n",
" ],\n",
" response_format={\"type\": \"json_object\"}\n",
" \n",
" )\n",
" self.process_move(reply.choices[0].message.content)"
]
},
{
"cell_type": "markdown",
"id": "2a3384f5-a1a7-45d2-8201-523e41db173c",
"metadata": {},
"source": [
"# Let's do this!\n",
"\n",
"Wrap it in a loop, and we're off!"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "163e2af5-83c1-444d-8194-92e8b495c0af",
"metadata": {},
"outputs": [],
"source": [
"board = Board()\n",
"red = Player(\"gpt-4o-mini\", RED)\n",
"yellow = Player(\"gpt-4o\", YELLOW)\n",
"while not board.winner:\n",
" red.move(board)\n",
" print(board)\n",
" if not board.winner:\n",
" yellow.move(board)\n",
" print(board)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f73d9d16-9658-4e85-8d46-f75e6adf7051",
"metadata": {},
"outputs": [],
"source": []
}
],
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