Hi there! 
We’re excited to share our custom n8n community node that seamlessly integrates OpenAI with Langfuse, adding powerful observability features 
. This node brings structured tracing and metadata tracking to your OpenAI-powered workflows with ease.
This project is proudly developed and maintained by Wistron DXLab.
- GitHub: GitHub - rorubyy/n8n-nodes-openai-langfuse: An n8n community node that brings Langfuse observability to your OpenAI chat workflows.
- npm: n8n-nodes-openai-langfuse - npm
Why Use This Integration?
This custom node is perfect for data-driven teams and observability enthusiasts looking to:
- Track and trace every request/response between n8n and OpenAI-compatible models.
- Inject contextual metadata (
sessionId,userId, etc.) into your workflows. - Visualize workflows and trace logs directly in your Langfuse dashboard.
Installation
For n8n v0.187+, you can install this node directly from the Community Nodes feature.
How to Install
- Navigate to Settings → Community Nodes in your n8n UI.
- Click Install.
- Enter
n8n-nodes-openai-langfusein the npm package field. - Agree to the community node usage risks.
- Click Install to complete the process!
Credential Setup
To use this node, you’ll need credentials to:
- Authenticate with your OpenAI-compatible LLM endpoint.
- Enable Langfuse tracing by logging requests and responses to Langfuse.
OpenAI Credential Details
| Field Name | Description | Example |
|---|---|---|
| OpenAI API Key | Your secret API key to access the OpenAI endpoint. | sk-xx |
| OpenAI Organization ID | (Optional) Your OpenAI organization ID, if required. | org-xyz789 |
| OpenAI Base URL | Base URL for your OpenAI-compatible endpoint. | Default: https://api.openai.com/v1 |
Langfuse Credential Details
| Field Name | Description | Example |
|---|---|---|
| Langfuse Base URL | The base URL of your Langfuse instance (cloud or self-hosted). | https://cloud.langfuse.com or custom URL. |
Langfuse Public Key * |
Used for authentication in Langfuse. | pk-xx |
Langfuse Secret Key * |
Used for authentication in Langfuse. | sk-xx |
How to Find Your Langfuse Keys:
Log in to your Langfuse dashboard and navigate to:
Settings → Projects → [Your Project] to retrieve yourpublicKeyandsecretKey.
Once your credentials are correctly filled in, they will look like this:
After saving the credentials, you’re ready to configure your workflows and see your traces in Langfuse!
Using the Node
This node automatically injects Langfuse-compatible metadata into your OpenAI requests. You can trace every workflow run with context such as sessionId, userId, and any custom metadata.
Supported Metadata Fields
| Field | Type | Description |
|---|---|---|
sessionId |
string |
A unique identifier for your logical session. |
userId |
string |
The ID of the end user making the request. |
metadata |
object |
A custom JSON object for additional workflow context. |
Example of Custom Metadata:
{
"project": "test-project",
"env": "dev",
"workflow": "main-flow"
}
Example Workflow Setup
Here’s a typical workflow configuration using the Langfuse Chat Node:
1. Node Configuration
In the node UI, configure your inputs as follows:
| Input Field | Example Value |
|---|---|
| Session ID | {{$json.sessionId}} |
| User ID | user-123 |
| Custom Metadata | { "project": "example", "env": "prod" } |
2. Workflow Design
An example workflow setup using this node:
3. Langfuse Trace Output
Once your workflow runs, you can view visualized traces in your Langfuse dashboard:
It helps you easily trace and analyze LLM usage inside n8n using Langfuse, including session metadata support.
Hope it helps! 