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+# Telegram Inference Bot Refactoring
+
+This repository contains a refactored version of the Telegram Inference Bot, which now uses a more flexible and maintainable approach for handling different AI providers.
+
+## Changes
+
+1. Introduced an abstract `AIProvider` class and concrete implementations for Anthropic and OpenAI.
+2. Refactored the main bot code to use the new AI provider classes.
+3. Implemented a factory function `create_ai_provider` for easy provider instantiation.
+4. Updated command handlers to work with the new AI provider system.
+
+## How to Use
+
+1. Set up your environment variables in a `.env` file:
+   ```
+   TELEGRAM_BOT_TOKEN=your_telegram_bot_token
+   ANTHROPIC_API_KEY=your_anthropic_api_key
+   OPENAI_API_KEY=your_openai_api_key
+   ```
+
+2. Install the required dependencies:
+   ```
+   pip install -r requirements.txt
+   ```
+
+3. Run the bot:
+   ```
+   python telegram_inference_bot.py
+   ```
+
+## Commands
+
+- `/start`: Start the bot and receive a welcome message.
+- `/clear`: Clear the conversation history and any stored images.
+- `/switch`: Switch between smart and regular models (OpenAI only).
+- `/toggle`: Toggle between Anthropic and OpenAI providers.
+- `/status`: Display the current AI provider and model being used.
+
+## Extending the Bot
+
+To add a new AI provider:
+
+1. Create a new class in `ai_providers.py` that inherits from `AIProvider`.
+2. Implement the required methods: `get_chat_response`, `format_messages`, `format_tool_calls`, etc.
+3. Update the `create_ai_provider` function to include the new provider.
+
+## Future Improvements
+
+- Implement more robust error handling and logging.
+- Add unit tests for the AI provider classes and main bot functionality.
+- Extend the README with more detailed usage instructions and examples.