darksoulsapi 0.0.1

A Dark Souls: Remastered API for AI research

Dark Souls: Remastered API

A Dark Souls: Remastered Python API, enabling the development of real-time AI agents.

About

This repository provides an API for Dark Souls: Remastered, enabling the development of AI agents to interact with and play the game. The API handles game state detection, action execution, and provides a simple interface for training agents. Currently, the API exists to simulate boss fight scenarios.

Features

• Ability to simulate various boss scenarios
• Real-time game screen capture for visual input
• Easy framework for training artificial intelligence agents

Requirements

• Operating System: Windows only (due to win32api dependency)
• Python: 3.12 or higher
• Game: Dark Souls: Remastered must be installed already

Installation

Install from PyPI:

pip install darksoulsapi

Usage

1. Configure Game Settings

Before using the API, configure Dark Souls: Remastered with these settings:

• Resolution: Set to 800x600, windowed mode
• Key Bindings: Update the following in Key Settings:
  • "Right weapon action (attack)" → t
  • "Right weapon action (Strong Attack)" → Shift + t
  • "Left weapon action (block)" → y
  • "Left weapon action (parry)" → Shift + y

Note: Custom key bindings help prevent mouse input issues.

2. Obtain Game Paths

The API requires two main paths:

1. Game Directory: Path to your Dark Souls: Remastered installation

   Example: "C:/Program Files (x86)/Steam/steamapps/common/DARK SOULS REMASTERED/"
   

2. Save Directory: Path to your Dark Souls save files

   Example: "C:/Users/username/Documents/NBGI/Dark Souls Remastered/1638/"
   

3. Basic usage (more examples in /examples folder)

import darksoulsapi
import random
import time

# Create game environment with your paths
env = darksoulsapi.create_game_state(
    game_directory="C:/Program Files (x86)/Steam/steamapps/common/DARK SOULS REMASTERED/",
    save_directory="C:/Users/username/Documents/NBGI/DARK SOULS REMASTERED/1638/"
)

# Reset the game state and obtain pixel input
pixel_input = env.reset()

# Main game loop
terminated = False
while not terminated:
  # Choose a random action from the action space
  action_key, action_value = random.choice(list(env.action_space.items()))
  print("Performing", action_key)
  # Execute action and get new state
  pixel_input, terminated = env.step(action_value)
  # Pause to allow action to be followed through
  time.sleep(1.0)
print("Game Session Terminated")

Testing

• Run the tests to make sure that the environment is set up correctly and working.
  • Tests for game screen being obtained properly (run show_visual_feed.py)