deepseek-coder:6.7b creates reasonable output but devika does not use it

[tblock-zz]

I am using deepseek-coder with ollama.
I can see in the output that the llm returns reasonable code, but somehow devica can not use it.
Any idea?
24.05.16 16:37:52: root: DEBUG : Response from the model: ```md
# Snake Game using Python and Pygame

## Files

File: `main.py`:
```python
import pygame
import random

class SnakeGame:
    def __init__(self):
	self.window = pygame.display.set_mode((800, 600))
	self.snake = [(100, 100), (90, 100), (80, 100)]
	self.food = None
	self.score = 0
	self.direction = 'right'
	
    def draw_objects(self):
	# Draw snake
	for pixel in self.snake:
	    pygame.draw.rect(self.window, (0, 255, 0), (*pixel, 10, 10))
	    
	# Draw food
	if self.food is not None:
	    pygame.draw.rect(self.window, (255, 0, 0), (*self.food, 10, 10))
	
    def move_snake(self):
	# Move snake based on direction
	if self.direction == 'right':
	    new_head = (self.snake[0][0] + 10, self.snake[0][1])
	elif self.direction == 'left':
	    new_head = (self.snake[0][0] - 10, self.snake[0][1])
	elif self.direction == 'up':
	    new_head = (self.snake[0][0], self.snake[0][1] - 10)
	elif self.direction == 'down':
	    new_head = (self.snake[0][0], self.snake[0][1] + 10)
	    
	# Add new head to snake and remove last element if food is not eaten
	self.snake.insert(0, new_head)
	if self.food is None or self.food != new_head:
	    self.snake.pop()
	
    def eat_food(self):
	# Check if snake head collides with food
	if self.food == self.snake[0]:
	    self.score += 1
	    self.food = None
	    
    def place_food(self):
	# Place new food at random position that is not occupied by the snake
	while True:
	    x = random.randint(0, 800) // 10 * 10
	    y = random.randint(0, 600) // 10 * 10
	    food_position = (x, y)
	    
	    if food_position not in self.snake:
	        self.food = food_position
	        break
	        
    def game_over(self):
	# Check for collision with window border or snake body
	if (self.snake[0][0] < 0 or self.snake[0][0] >= 800 or 
	    self.snake[0][1] < 0 or self.snake[0][1] >= 600 or 
	    self.snake[0] in self.snake[1:]):
	    return True
	return False
    
    def update(self):
	# Update game state
	self.move_snake()
	self.eat_food()
	if not self.food:
	    self.place_food()
	    
    def handle_events(self):
	for event in pygame.event.get():
	    if event.type == pygame.QUIT:
	        return True
	    elif event.type == pygame.KEYDOWN:
	        if event.key == pygame.K_RIGHT and self.direction != 'left':
	            self.direction = 'right'
	        elif event.key == pygame.K_LEFT and self.direction != 'right':
	            self.direction = 'left'
	        elif event.key == pygame.K_UP and self.direction != 'down':
	            self.direction = 'up'
	        elif event.key == pygame.K_DOWN and self.direction != 'up':
	            self.direction = 'down'
	return False
    
    def run(self):
	# Main game loop
	clock = pygame.time.Clock()
	
	while True:
	    if self.handle_events():
	        break
	    
	    self.window.fill((0, 0, 0))
	    
	    self.update()
	    self.draw_objects()
	    
	    pygame.display.flip()
	    clock.tick(10)
	    
	    if self.game_over():
	        break
	
	pygame.quit()
```

File: `requirements.txt`:
```text
pygame==2.1.2
```

## Instructions
To run the game, you need to have Python and Pygame installed on your system. You can install Pygame using pip:

```bash
pip install pygame
```

Then, you can run the game by executing `main.py` in a terminal or command prompt:

```bash
python main.py
```

Use arrow keys to control the snake and eat as much food as possible without colliding with the window border or the snake body. The score is displayed at the top of the screen.
Invalid response from the model, I'm trying again...
24.05.16 16:37:52: root: INFO   : SOCKET info MESSAGE: {'type': 'warning', 'message': 'Invalid response from the model, trying again...'}
Maximum 5 attempts reached. try other models
24.05.16 16:37:54: root: INFO   : SOCKET info MESSAGE: {'type': 'error', 'message': 'Maximum attempts reached. model keeps failing.'}