databricks-model-serving
Installation
SKILL.md
Databricks Model Serving
Deploy MLflow models and AI agents to scalable REST API endpoints.
Quick Decision: What Are You Deploying?
| Model Type | Pattern | Reference |
|---|---|---|
| Traditional ML (sklearn, xgboost) | mlflow.sklearn.autolog() |
1-classical-ml.md |
| Custom Python model | mlflow.pyfunc.PythonModel |
2-custom-pyfunc.md |
| GenAI Agent (LangGraph, tool-calling) | ResponsesAgent |
3-genai-agents.md |
Prerequisites
- DBR 16.1+ recommended (pre-installed GenAI packages)
- Unity Catalog enabled workspace
- Model Serving enabled