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Databricks adds native OpenTelemetry observability for Claude AI

Claude Platform now supports native OpenTelemetry observability in Databricks MLflow to debug and evaluate AI agents.

Databricks adds native OpenTelemetry observability for Claude AI — image from Databricks
Image: Databricks

Summary

Databricks MLflow now supports native OpenTelemetry export from the Claude Platform in public beta, sending traces directly into Unity Catalog. Developers can use MLflow to debug agent execution, review traces, and evaluate prompt or tool changes.

What changed

  • OpenTelemetry export brings Anthropic SDKs, Messages API, and Claude Managed Agents into Databricks MLflow in public beta.
  • Traces are stored in Unity Catalog tables linked to an MLflow experiment via Zerobus Ingest.
  • MLflow Issues in beta uses Genie Code to identify recurring quality and operational problems.

Availability

Beta

“OpenTelemetry for Claude Platform is now in Public Beta.”

Founder takeaway

If you use Claude Platform and Databricks, test the public beta to send agent traces directly to Unity Catalog for debugging and evaluation.

Source

Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.

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