Connect Langfuse
- Open Platform Settings → Telemetry.
- Enter Host, Public Key, Secret Key, and Project ID for your Langfuse project. The project ID identifies the project in trace links.
- Leave Make traces publicly viewable off unless you intend anyone holding a trace URL to view its contents, including conversation and tool data.
- Choose Save. After an eligible controlled call, inspect its trace in the intended Langfuse project and correlate it with the Athena run.
- Use Remove if the organization should stop using those credentials. Removal is separate from deletion of previously exported traces at the destination.
Prepare a BigQuery call-events table
Use an existing table whose schema matches the columns below. The service identity needs permission to read the table schema and insert rows. Use nullable, non-repeated columns; additional columns must not be required unless Athena can populate them.
For example, replace this illustrative table identifier with your own project, dataset, and table before running it in your BigQuery environment:
Connect the event destination
- Open Platform Settings → Call events and choose BigQuery as the destination.
- Set Table to
project.dataset.table. - Choose Service account, then enter its Service account email and Private key in the secure form. If Deployment identity is offered and provisioned for your account, it uses the hosted deployment’s identity instead.
- Choose Test connection and resolve schema or permission errors. The connection check does not prove a completed call exported its events.
- Enable Export call events and save. After a controlled call, query the destination for its run ID and inspect the expected diagnostic events.