Applies to:
- Plan -
- Deployment -
Summary
Issue: Traces are deleted according to the project retention window even when metadata likeevalRun: true is present. Metadata fields cannot exempt individual traces from deletion.
Cause: Retention is enforced by creation timestamp at the project and object type level, not by tags or metadata values.
Resolution: For traces that need longer retention, route them at ingest time to a separate project configured with a longer retention window, or adjust retention for the whole project/object type.
Resolution steps
If you are on Enterprise and want to extend retention for all traces in a project
Step 1: Identify the object type
Determine whether your traces are stored as logs, experiments, or dataset rows. Retention is configured separately for each type.Step 2: Adjust the project retention window
In your project settings, raise or remove the retention limit for the relevant object type. On Enterprise, there is no enforced maximum. The 14-day retention window is a project-level configuration.If you only want to retain a subset of traces (e.g., eval_run: true)
Step 1: Create a dedicated project
Create a separate Braintrust project with a longer or unlimited retention window.Step 2: Route matching traces at ingest time
In your logging code, inspect the metadata before logging and send matching traces to the dedicated project.Step 3: Verify retention settings on the new project
Confirm the dedicated project’s log retention window is set to your desired duration or unlimited before relying on it for storage.On Pro and Enterprise plans, data retained in a long-retention project beyond your plan’s base window incurs retention storage charges. Weigh this cost when deciding how long to keep routed traces.