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Última actualización 9 de oct. de 2025

Databricks Agent features table

See the following table for an overview of the capabilities offered by the connector.

Feature AreaFunciónDatabricks Agent in Maestro
AutenticaciónSingle token, Bearer token (e.g. Personal Access Token).
AutenticaciónService Principal-based authentication (e.g.,Service Account Key, OAuth 2.0 client credentials).
AutenticaciónOAuth 2.0 User-delegated, token-based authentication (e.g., On-Behalf-Of, OpenID). No
Project DiscoveryDiscover available projects based on authentication.No (provided by the user)
Agent DiscoveryDiscover available agents.
InvocationSupports synchronous (request-response) invocation.
InvocationSupports streaming invocation (Server-Sent Events).Not in Maestro
InvocationSupports asynchronous invocation with polling or webhook/callback. No
InvocationAbility to specify the agent's tools/skills within the API request. Yes (in Prompt and in request schema within Managed Properties in Maestro)
Session ManagementMaintains conversational context via session IDs and allows for the retrieval of event history from an ongoing session. Yes (use of messages id within Managed Properties in Maestro)
Output ControlsEnforces structured, schema-adherent JSON output from agents.No
Content HandlingSupports multi-modal content exchange (e.g., binary files, images, audio). No
ObservabilityProvides comprehensive observability through togglable verbose tracing, OTEL-formatted traces, and cross-platform correlation IDs. Yes (in Databricks)
Consumption & AttributionTracks and attributes AI consumption (tokens/units) per response for cost analysis. Yes (in Databricks)
Control de versionesEnables agent versioning for CI/CD workflows, targeted invocations by version number (e.g., GA, preview), and rollbacks. No
Administración de erroresDelivers structured, detailed error messages (reason, domain, metadata) for advanced debugging and conditional logic.

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