Skip to content
NEWMarketplace and the trig8n Agent: sell what you build, and get plans and changes that are tested before you see them. See what is new

Library / Chatbots & Messaging Bots

Chatbots & Messaging Bots

Buffer Telegram Messages for an AI Agent with Supabase

When a Telegram message arrives, it queues it in Supabase, waits ten seconds for more, then sends the combined messages to an OpenAI agent for one reply.

What it does

## 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

The steps

  1. Reply
  2. Receive Message
  3. Wait 10 Seconds
  4. Add to Queued Messages
  5. No Operation, do nothing
  6. Aggregate
  7. Delete Queued Messages
  8. OpenAI Chat Model
  9. Sort by Message ID
  10. Get Queued Messages
  11. Check Most Recent Message
  12. AI Agent
  13. Postgres Chat Memory
  14. Error Handler for ce90f954

17 steps in total.

Similar automations