import discord from discord.ext import commands from openai import OpenAI import os from dotenv import load_dotenv # Load environment variables load_dotenv() # Configure OpenAI client to point to OpenWebUI client = OpenAI( api_key=os.getenv('OPENAI_API_KEY'), base_url=os.getenv('OPENWEBUI_API_BASE') # e.g., "http://localhost:8080/v1" ) # Initialize Discord bot intents = discord.Intents.default() intents.message_content = True bot = commands.Bot(command_prefix="!", intents=intents) async def get_chat_history(channel, limit=50): messages = [] async for message in channel.history(limit=limit): # Skip bot's own messages if message.author == bot.user: continue messages.append({"role": "user", "content": message.content}) return list(reversed(messages)) # Return in chronological order async def get_ai_response(messages): try: response = client.chat.completions.create( model=os.getenv('MODEL_NAME') or "us.anthropic.claude-3-5-sonnet-20241022-v2:0", messages=messages, temperature=0.7, max_tokens=500 ) return response.choices[0].message.content except Exception as e: print(f"Error getting AI response: {e}") return "Sorry, I encountered an error while processing your request." @bot.event async def on_message(message): # Ignore messages from the bot itself if message.author == bot.user: return # Respond to DMs or when mentioned in a server if isinstance(message.channel, discord.DMChannel) or bot.user in message.mentions: # For mentions, remove the bot mention from the message if bot.user in message.mentions: prompt = message.content.replace(f'<@{bot.user.id}>', '').strip() else: prompt = message.content.strip() # If there's no prompt if not prompt: await message.channel.send("Hello! How can I help you?") return # Show typing indicator while processing async with message.channel.typing(): # Get chat history chat_history = await get_chat_history(message.channel) # Add current message to history chat_history.append({"role": "user", "content": prompt}) # Get response from OpenWebUI with chat history context response = await get_ai_response(chat_history) # Send the response # Split long messages if they exceed Discord's character limit if len(response) > 2000: chunks = [response[i:i+2000] for i in range(0, len(response), 2000)] for chunk in chunks: await message.channel.send(chunk) else: await message.channel.send(response) await bot.process_commands(message) def main(): # Get the Discord token from environment variables discord_token = os.getenv('DISCORD_TOKEN') if not discord_token: raise ValueError("Discord token not found in environment variables") # Run the bot bot.run(discord_token) if __name__ == "__main__": main()