Allow Users to Send a Sequence of Messages to an AI Agent in Telegram

### Use Case When creating chatbots that interface through applications such as **Telegram** and **WhatsApp**, users can often send multiple shorter messages in quick succession, in place of a single, longer message. This workflow accounts for this behavior. ### 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. ### Setup 1. Create a table in Supabase called **message_queue**. It needs to have the following columns: **user_id** (`uint8`), **message** (`text`), and **message_id** (`uint8`). 2. Add your **Telegram**, **Supabase**, **OpenAI**, and **PostgreSQL** credentials. 3. Activate the workflow and test by sending multiple messages to the Telegram bot in one go. 4. Wait ten seconds after which you will receive a single reply to all of your messages. ### How to Modify it to Your Needs - Change the value of **Wait Amount** in the **Wait 10 Seconds** node in order to modify the buffering window. - Add a **System Message** to the **AI Agent** to tailor it to your specific use case. - Replace the **OpenAI** sub-node to use a different language model.