Databricks databricks-model-serving
Guides deploying and querying models via Databricks Model Serving endpoints.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Databricks databricks-model-serving, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
A Databricks Agent Skill for Model Serving — creating serving endpoints, deploying models, and querying them. It encodes endpoint config and invocation patterns. Deploys models and provisions serving infrastructure in the workspace.
Key features and capabilities
- Serving endpoint creation
- Model deployment
- Endpoint invocation
Use cases
- Deploy an ML model as an endpoint
- Query a served model from code