Telegram AI Chat Automation

This workflow is ideal for:

• Developers and Programmers looking to integrate Telegram with AI capabilities.
• Businesses aiming to enhance customer support through automated responses.
• Marketers wanting to engage users in conversations with context-aware AI.
• Educators who wish to create interactive learning experiences via chatbots.
• Hobbyists and Enthusiasts interested in building their own Telegram bots with memory capabilities.

This workflow addresses the challenge of maintaining context in chatbot conversations by integrating Supabase for user session storage alongside OpenAI for intelligent responses. It allows bots to remember user interactions, providing a more engaging and personalized experience. This is particularly useful in scenarios such as customer support, where continuity is crucial for effective communication.

1. Trigger: The workflow starts when a new message is received in Telegram through the TelegramTrigger node.
2. User Identification: It checks if the user already exists in the Supabase database by querying the telegram_users table.
3. User Handling: If the user exists, it proceeds to create an OpenAI thread; if not, it creates a new user entry in the database.
4. Message Processing: The bot sends the user's message to OpenAI for processing, utilizing the OPENAI - Send message node.
5. Assistant Execution: The workflow runs the assistant to generate a response based on the user's input.
6. Response Retrieval: It fetches the assistant's response from OpenAI using the OPENAI - Get messages node.
7. Message Delivery: Finally, the bot sends the generated response back to the user in Telegram using the Send Message to User node.