Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.
Quickly install migrate-from-model-serving AI skill to your development environment via command line
Source: databricks/app-templates.
This guide instructs LLM coding agents how to migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps.
Goal: Migrate an agent deployed on Databricks Model Serving (using ResponsesAgent with predict()/predictstream()) to Databricks Apps (using MLflow GenAI Server with @invoke/@stream decorators).
is the name the user provides at the start of the migration. It is used as both the directory name and the Databricks App name at deploy time.
Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators. Source: databricks/app-templates.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/databricks/app-templates --skill migrate-from-model-servingMigrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators. Source: databricks/app-templates.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/databricks/app-templates --skill migrate-from-model-serving Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/databricks/app-templates