genai-agents-setup

Build production-ready GenAI agents on Databricks by orchestrating MLflow 3.0 ResponsesAgent, Genie Spaces, and Lakebase memory. It guides implementation from initial configuration through multi-agent systems and deployment to Model Serving.

Yes, you can create multi-agent systems using Genie Spaces on Databricks. The skill orchestrates Genie Spaces integration alongside MLflow ResponsesAgent to coordinate multiple agents within your production GenAI architecture.

Set up evaluation pipelines for Databricks GenAI agents by orchestrating comprehensive testing workflows. The process integrates MLflow evaluation capabilities to assess agent responses before deploying to production Model Serving.

Deploy GenAI agents to Databricks Model Serving by following the end-to-end orchestration workflow. It streamlines transitioning configured agents with Lakebase memory into live production endpoints.

Databricks GenAI agent implementation fails during setup due to configuration or integration errors. The skill provides troubleshooting for agent implementation errors across MLflow, Genie Spaces, and Lakebase memory components.