GenAI Agent Implementation Orchestrator

End-to-end guide for implementing production-grade Databricks GenAI agents using the MLflow 3.0 ResponsesAgent framework with Genie Spaces, Lakebase memory, and comprehensive evaluation.

When to Use

• Implementing a new AI agent on Databricks from scratch
• Creating multi-agent systems with Genie Space data access
• Setting up agent evaluation pipelines with LLM judges
• Deploying agents to Model Serving with OBO authentication
• Adding memory (short-term conversations, long-term preferences) to agents
• Troubleshooting agent implementation errors (AI Playground, authentication, evaluation)
• Planning agent architecture (orchestrator + worker pattern)

Architecture Overview

Recommended: Hybrid Architecture (Genie + Custom Orchestrator)