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How does LangSmith handle failures in scheduled bulk export jobs?

LangSmith Observability·1 min read·Oct 15, 2025··

Overview

When using LangSmith's bulk export Tracing data APIs to configure scheduled exports, users can set up jobs that export trace data for specific tracing projects. These jobs are configured with parameters such as session_id, interval_hours, and start_date to manage recurring data exports.

Answer

LangSmith's bulk export system includes built-in retry mechanisms and monitoring capabilities for handling export failures:

  1. Automatic Retries: When a export job fails, LangSmith will automatically attempt to retry the export up to 10 times.

  2. Data Gap Management: If all 10 retries are exhausted, there could potentially be a data gap in the exports.

  3. Manual Backfilling: Users can monitor export jobs through the monitoring endpoint and manually trigger new jobs to backfill any failed export windows if needed.

curl --request GET \ 
--url 'https://api.smith.langchain.com/api/v1/bulk-exports/{export_id}' \
 --header 'Content-Type: application/json' \
 --header 'X-API-Key: YOUR_API_KEY' \
 --header 'X-Tenant-Id: YOUR_WORKSPACE_ID'
  • Replace {export_id} with the ID of the export you want to monitor. This command retrieves the current status of the specified export job.

To monitor export jobs and handle any failures, refer to the documentation on monitoring export jobs.