migrate-from-model-serving
CommunityMigrate a ResponsesAgent to Databricks Apps.
Software Engineering#migrate#mlflow#databricks#model-serving#responsesagent#databricks-apps#invoke-stream
AuthorRamVegiraju
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps and enable modern deployment with MLflow GenAI Server using @invoke/@stream.
Core Features & Use Cases
- Transform the ResponsesAgent class into decorated functions with @invoke and @stream, supporting both synchronous and asynchronous migration paths.
- Preserve and migrate code dependencies, prompts, tools, and memory configuration, then deploy via Databricks Asset Bundles.
- Provide an end-to-end migration workflow from artifact extraction to local testing and production deployment.
Quick Start
Migrate the agent from Model Serving to Databricks Apps by extracting the original code, converting it to decorated functions with @invoke/@stream, and deploying via Databricks Asset Bundles.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: migrate-from-model-serving Download link: https://github.com/RamVegiraju/databricks-samples/archive/main.zip#migrate-from-model-serving Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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