TG AI Bot 🤖

This Telegram bot leverages the Vercel AI SDK to provide access to popular large language models. It offers a simple and convenient way to interact with powerful AI models directly within your Telegram chats. 💬

Features ✨

• Multiple Model Support: Choose from a wide range of popular models including OpenAI's GPT models, Anthropic's Claude models, Google's Gemini models, Mistral's models, and Groq's Llama models. 🧠
• Model Switching: Easily switch between different models using the /setmodel command. 🔄
• Rich Text Formatting: Responses are automatically formatted for better readability within Telegram, including bold, italic, and bullet points. 📝

Usage 🚀

1. Set up environment variables:
   • Create a .env file in the project root and add your API keys for the desired models:

     BOT_TOKEN=YOUR_TELEGRAM_BOT_TOKEN
     GROQ_API_KEY=YOUR_GROQ_API_KEY
     GOOGLE_GENERATIVE_AI_API_KEY=YOUR_GOOGLE_GENERATIVE_AI_API_KEY
     MISTRAL_API_KEY=YOUR_MISTRAL_API_KEY
     OPENAI_API_KEY=YOUR_OPENAI_API_KEY
     ANTHROPIC_API_KEY=YOUR_ANTHROPIC_API_KEY
     

2. Deploy the bot:
   • Ensure you have Node.js and npm installed.
   • Run npm install to install dependencies.
   • Start the bot using npm start.
3. Start a conversation:
   • Open your Telegram app and search for your bot by its username (which should be set in your bot's configuration).
   • Send messages to the bot, and it will respond using the current active model.
   • Use the /setmodel command followed by the model name to switch models (e.g., /setmodel gpt_4_turbo).

Supported Models 🤖

• OpenAI:
  • gpt_4o
  • gpt_4
  • gpt_4_turbo
  • gpt_3_5_turbo
• Anthropic:
  • claude_3_ops
  • claude_3_haiku
  • claude_3_sonnet
• Google:
  • gemini_pro
  • gemini_1_5_pro
• Mistral:
  • small
  • large
• Groq:
  • llama3_8b_8192
  • llama3_70b_8192

Contributing 🤝

Contributions are welcome! Please feel free to open an issue or submit a pull request.

TODO 📝

• Image Input: Allow users to send images to the bot for image-based responses. 🖼️
• Formatting Fixes: Improve text formatting consistency in responses. 🎨
• Docker: Implement Docker support for easier deployment. 🐳
• Model Selection: Add a more user-friendly model selection method. 🧭
• Error Handling: Improve error messages for better user experience. 🚨