Telegram-Nachrichten für einen OpenAI-Agenten mit Supabase puffern

## Allow Users to Send a Sequence of Messages to an AI Agent in Telegram with Supabase ### Use Case When creating chatbots that interface through applications such as Telegram and WhatsApp, users can often sends multiple shorter messages in quick succession, in place of a single, longer message. This workflow accounts for this behaviour. ### What it Does This workflow allows users to send several messages in quick succession, treating them as one coherent conversation instead of separate messages requiring individual responses. ### How it Works 1. When messages arrive, they are stored in a Supabase PostgreSQL table 2. The system waits briefly to see if additional messages arrive 3. If no new messages arrive within the waiting period, all queued messages are: - Combined and processed as a single conversation - Responded to with one unified reply - Deleted from the queue