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Anthropic Adds Native Claude Tracing to Databricks MLflow

Original: Anthropic has added native Claude trace support to Databricks MLflow. Claude calls now emit structured spans that captur

Anthropic has added native Claude trace support to Databricks MLflow. Claude calls now emit structured spans capturing prompts, responses, tool calls, and timings, letting developers replay failing agent steps instead of guessing at what went wrong. The integration bundles debugging, evaluation, and monitoring into MLflow's existing workflow, and is being welcomed by engineers building Claude-powered agents.

Why now: Developers building Claude-based agents are interested in better observability and debugging tooling for AI applications.

AnthropicClaudeDatabricksMLflow

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• Anthropic has added native Claude trace support to Databricks MLflow. Claude calls now emit structured spans that capture prompts, responses, tool calls, and timings, so failing agent steps can be replayed instead of guessed at. That's debugging, evaluation, and monitoring on a… · gadgetry@techhub.social · 1

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