PRODUCTION SCENARIO
A Generative AI Engineer has a LangGraph agent that already works in a notebook. The team wants to try it in AI Playground, run Agent Evaluation against it, and deploy it with monitoring.
What should the engineer do to the agent code?
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Answer: Wrap the existing agent in the MLflow ResponsesAgent interface
Databricks recommends the MLflow ResponsesAgent interface because wrapping an agent built with any framework gives out-of-the-box compatibility with AI Playground, Agent Evaluation, and Agent Monitoring, plus automatic tracing. Rewriting the agent or reshaping it into another model type is unnecessary.