Templates / Track AI model executions with LangFuse observability for better performance insights

Track AI model executions with LangFuse observability for better performance insights

Ready for 3.0

by Artem Makarov · 260 views · created 2025-10-21 · Engineering, AI RAG

Ready 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 10 nodes and runs when another workflow calls it. It uses only n8n's built-in nodes. It also calls cloud.langfuse.com over HTTP.

How it runs

Trigger: When another workflow calls it.

  1. Remove Duplicates: removes duplicate items
  2. Wait: waits 80 seconds
  3. n8n: get (execution)
  4. Code: runs custom JavaScript code
  5. Split Out: splits a list into separate items
  6. Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
  7. Code: runs custom JavaScript code
  8. Wait: waits 3 seconds
  9. HTTP Request: calls cloud.langfuse.com (POST)

HTTP calls to: cloud.langfuse.com

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)

From the author

About this template This template is to demonstrate how to trace the observations per execution ID in Langfuse via ingestion API. Good to know Endpoint: https://cloud.langfuse.com/api/public/ingestion Auth is a Generic Credential Type with a Basic Auth:…

Excerpt from Artem Makarov's description on n8n.io.

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

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