import json import os import importlib import inspect import logging from telegram import Update from telegram.ext import Application, CommandHandler, MessageHandler, filters, ContextTypes from dotenv import load_dotenv from tools.base_tool import BaseTool from ai_providers import create_ai_provider, AnthropicProvider, OpenAIProvider # Load environment variables load_dotenv() # Set up logging to console and file logging.basicConfig(level=logging.WARNING, handlers=[ logging.StreamHandler(), logging.FileHandler('logs/output.log', mode='a') ]) # Set up Telegram bot TELEGRAM_BOT_TOKEN = os.getenv('TELEGRAM_BOT_TOKEN') # Load system prompt with open("prompts/developer_prompt.txt", "r") as file: system_prompt = file.read().strip() # Dictionary to store conversation history for each user conversation_history = {} # Load tools tools = [] tools_dir = os.path.join(os.path.dirname(__file__), 'tools') for filename in os.listdir(tools_dir): if filename.endswith('.py') and filename != '__init__.py' and filename != 'base_tool.py': module_name = f'tools.{filename[:-3]}' module = importlib.import_module(module_name) for name, obj in inspect.getmembers(module): if inspect.isclass(obj) and issubclass(obj, BaseTool) and obj != BaseTool: tools.append(obj()) # Collect all function definitions functions = [] for tool in tools: functions.extend(tool.get_functions()) # Initialize AI provider ai_provider = create_ai_provider("anthropic") async def start(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: logging.info("Bot started") await update.message.reply_text("Hello! I'm your AI assistant. How can I help you today? You can send me images and then ask questions about them.") async def clear(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: user_id = update.effective_user.id if user_id in conversation_history: del conversation_history[user_id] for tool in tools: tool.clear() logging.info(f"Cleared conversation history and image for user {user_id}") await update.message.reply_text("Conversation history and image cleared. Let's start fresh!") async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: try: user_id = update.effective_user.id user_message = update.message.text logging.info(f"Message from user {user_id}: {user_message}") if user_id not in conversation_history: conversation_history[user_id] = [] conversation_history[user_id].append({"role": "user", "content": user_message}) messages = conversation_history[user_id] response = ai_provider.get_chat_response([{"role": "system", "content": system_prompt}] + messages) tool_calls = ai_provider.format_tool_calls(response) toolUseCount = 0 while len(tool_calls) > 0 and toolUseCount < 50: tool_call = tool_calls.pop(0) function_name = tool_call.name tool_response = call_tool(tool_call) formatted_result = ai_provider.format_tool_result(tool_call, tool_response) messages.append(formatted_result) response = ai_provider.get_chat_response([{"role": "system", "content": system_prompt}] + messages) tool_calls = ai_provider.format_tool_calls(response) toolUseCount += 1 if toolUseCount == 0: assistant_reply = ai_provider.format_assistant_reply(response) conversation_history[user_id].append({"role": "assistant", "content": assistant_reply}) if len(conversation_history[user_id]) > 20: conversation_history[user_id] = conversation_history[user_id][-20:] await update.message.reply_text(ai_provider.get_reply_text(response)) except Exception as e: logging.error(f"An error occurred: {str(e)}") await update.message.reply_text("Sorry, an error occurred while processing your request.") def call_tool(function_call): function_name = function_call.name function_args = json.loads(function_call.arguments if hasattr(function_call, 'arguments') else json.dumps(function_call.input)) for tool in tools: if function_name in [f["name"] for f in tool.get_functions()]: return tool.execute(function_name, **function_args) async def switch(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: global ai_provider model = ai_provider.switch_model() logging.info(f"Switched to model: {model}") await update.message.reply_text(f"Switched to model: {model}") async def switch_providers(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: await clear(update, context) global ai_provider new_provider_name = "openai" if isinstance(ai_provider, AnthropicProvider) else "anthropic" ai_provider = create_ai_provider(new_provider_name) logging.info(f"Switched to {new_provider_name} provider") await update.message.reply_text(f"Switched to {new_provider_name} provider") async def status(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: await update.message.reply_text(f"Currently using {ai_provider.__class__.__name__}: {ai_provider.get_model()}") def main() -> None: # Create the Application and pass it your bot's token application = Application.builder().token(TELEGRAM_BOT_TOKEN).build() # Add handlers application.add_handler(CommandHandler("start", start)) application.add_handler(CommandHandler("clear", clear)) application.add_handler(CommandHandler("switch", switch)) application.add_handler(CommandHandler("toggle", switch_providers)) application.add_handler(CommandHandler("status", status)) application.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_message)) # Start the Bot logging.info("Bot is running...") application.run_polling() if __name__ == '__main__': main()