App Connector · Developer & cloud
Langfuse
See what your own AI feature actually did.
Read traces, prompts, and evaluation scores.
What you can do
A connector lets the assistant use an app or tool for you. Once connected, ask it to work with Langfuse.
Read a trace
The run you are looking into, step by step, with what went in and what came out.
Check the prompts
The prompt versions in your project and which one a run used.
Read the scores
Evaluation scores, and whether the last change moved them.
Things you can ask
Type these in chat once the connector is on.
What you need
Use a Langfuse project and create its connection keys in project settings. You can connect a regional service or an installation on your own servers.
Setup details
Create a key pair in your Langfuse project settings and paste the combined value in. On the US region or an instance you run yourself, change the address host and keep the same path.
Plexon encrypts saved passwords and connection keys on your computer.
When a task uses an online app, that app receives the request. Its results may also be sent to the AI service handling your chat. You can turn the connector on for one workspace and leave it off for another.
Once Langfuse is on
A connected app is a source. These are the parts of Plexon that draw on it.
- AI Chat & Modes
Turn one on with your own account and the assistant works inside that app.
- Dynamic Workflows
An inbound message or a poll on a connected app starts a run.
A Tool step calls a connector directly, spending zero AI tokens.
- Dashboards
A widget's data can come from a connector tool call, refreshed on a timer.
- Action Record & Tool Rules
A call to a connected app is written down before it runs and again when it ends, with the app named on the row.
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Install Plexon, open Apps, and follow the setup steps for Langfuse. Then describe what you want to do in chat.