Databricks agents

Monitor Databricks Agent Bricks, Mosaic AI Agent Framework, and AI/BI Genie agents in Monte Carlo for full agent observability

Monte Carlo's Agent Observability gives you trace-level visibility into your Databricks agents β€” Agent Bricks Knowledge Assistant templates, custom Mosaic AI Agent Framework agents, and AI/BI Genie spaces β€” with out-of-the-box dashboards and full agent monitor coverage. Monte Carlo reads them all through your existing Databricks SQL Warehouse connection; only how traces reach Monte Carlo differs by agent type.

Choose your agent type

  • Agent Bricks and custom agents β€” Knowledge Assistant templates and custom Mosaic AI Agent Framework (MLflow SDK) agents. They log MLflow traces to a Unity Catalog table once you enable trace storage, and Monte Carlo reads that table.
  • AI/BI Genie β€” Genie spaces. Their conversation history is API-resident, so Monte Carlo installs a managed collector that materializes it into a Unity Catalog table, then reads that table.
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Prerequisites (all agent types)

An existing Databricks integration in Monte Carlo with a SQL Warehouse connection. If you haven't set this up yet, see our Databricks SQL Warehouse guide.

All types connect through the same Settings β†’ Agent Observability β†’ Add β†’ Platform Agent flow β€” follow the guide for your agent type above.



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