Convert LLM output into rich Telegram messages — Auto-Media & smart chunking
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This workflow has 16 nodes and runs when another workflow calls it. Along the way it connects Telegram.
How it runs
Trigger: When another workflow calls it.
- Extract Links (Code): runs custom JavaScript code
- If: checks a condition and branches into true / false
- If: checks a condition and branches into true / false
- Split Out: splits a list into separate items
- Split large text by chunks (Code): runs custom JavaScript code
- Send Text (Telegram): uses Telegram
- Loop Over Links (Loop Over Items (Split in Batches)): loops over the items in batches
- Split Out: splits a list into separate items
- Limit: keeps the first few items
- Check Link Type (Switch): routes items into 3 branches
…plus 5 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (8)
- Telegram
n8n-nodes-base.telegram - If
n8n-nodes-base.if - Execute Workflow Trigger
n8n-nodes-base.executeWorkflowTrigger - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Split Out
n8n-nodes-base.splitOut - Code
n8n-nodes-base.code - Limit
n8n-nodes-base.limit - Switch
n8n-nodes-base.switch
From the author
Telegram Rich Output Helper Workflow Who is this for? Builders of Telegram chat‑bots, AI assistants, or notification services who already run n8n and need to convert long, mixed‑media answers from an LLM (or any upstream source) into Telegram‑friendly…