Integrations
Langfuse
Track and analyze LLM usage with Langfuse.
Connect GridWork HQ to Langfuse and trace all pipeline LLM runs. View token usage, latency, and model outputs in your own Langfuse project.
Prerequisites
- Langfuse account (cloud or self-hosted) with a project created
- Langfuse Public Key, Secret Key, and Host URL (if self-hosted)
Connect to Langfuse
- In Langfuse, go to your project settings.
- Copy your Public Key and Secret Key.
- Note your Host URL (cloud:
https://cloud.langfuse.com, self-hosted: your instance URL). - In GridWork HQ, go to Settings > Integrations > Langfuse.
- Paste your Public Key, Secret Key, and Host URL.
- Click Connect.
What It Enables
Once connected, all pipeline LLM runs are automatically traced in Langfuse. You can:
- View token usage and cost per pipeline run.
- Monitor latency and identify bottlenecks.
- Inspect model inputs and outputs.
- Track performance over time with dashboards and alerts.
- Debug LLM behavior with detailed traces.
GridWork does not have access to your Langfuse project. All traces are sent directly from your pipeline server to your Langfuse instance. You control all data.
Disconnect from Langfuse
- Go to Settings > Integrations > Langfuse.
- Click Remove or Disconnect.
- New pipeline runs will no longer be traced to Langfuse.