I ran the 'create a snake' game example using the paper's source at
https://github.com/geekan/MetaGPTThe creation process used 11,940 tokens on input and 2,993 tokens on output, which cost $0.35 and $0.18, respectively.
The game it generated consisted of four python classes in four separate files: Main, Game, Snake, and Food.
The game executed without error on the first try, but the snake wasn't able to 'eat' the food. Here's the relevant code for 'eating' food:
# Check if the snake ate the food
if self.snake.body[0] == self.food.position:
self.score += 1
self.snake.grow()
self.food.generate()
The issue was that the snake's body was represented as a list of lists, whereas the food position was stored in a tuple. After changing the food position to a list, the game worked correctly.
The creation process used 11,940 tokens on input and 2,993 tokens on output, which cost $0.35 and $0.18, respectively.
The game it generated consisted of four python classes in four separate files: Main, Game, Snake, and Food.
The game executed without error on the first try, but the snake wasn't able to 'eat' the food. Here's the relevant code for 'eating' food:
The issue was that the snake's body was represented as a list of lists, whereas the food position was stored in a tuple. After changing the food position to a list, the game worked correctly.