Templates / Debounce Telegram support messages and aggregate replies with OpenAI

Debounce Telegram support messages and aggregate replies with OpenAI

Needs changes

by Naveen Choudhary ✓ · 209 views · created 2026-01-28 · Support Chatbot, AI Chatbot

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 16 nodes and runs when an HTTP GET request hits its webhook URL (plus 1 other trigger). Along the way it connects Postgres, OpenAI Chat Model and Telegram.

How it runs

Trigger: When an HTTP GET request hits its webhook URL (plus 1 other trigger).

  1. Extract User Data (Edit Fields (Set)): sets 3 fields: user_id, message, timestamp
  2. Check Active Session (Postgres): run a query
  3. If: checks a condition and branches into true / false
  4. Create New Session (Postgres): run a query
  5. Append Message (Postgres): run a query
  6. Store Resume URL (Postgres): run a query
  7. Respond to Webhook: sends the response back to the webhook caller
  8. Wait: waits 60 seconds
  9. Fetch All Messages (Postgres): run a query
  10. Format All Messages (Code): runs custom JavaScript code

…plus 3 more steps. See the full node list below.

Services it uses

PostgresOpenAI Chat ModelTelegram

Before you upgrade to n8n 3.0

1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:

  • AI Agent v1 (old agent modes) in AI Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).

Removed in 3.0Replace with
AI Agent v1 (old agent modes)
AI Agent (v1.7)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Nodes used (11)

From the author

This workflow prevents your AI support bot from responding to every single message by intelligently aggregating rapid-fire messages from users before generating a comprehensive response. Who's it for Support teams and bot developers who want to provide better…

Excerpt from Naveen Choudhary's description on n8n.io.

View the original on n8n.io → Check your own copy

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