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README.md

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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.