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Learn to implement a flexible Routing Agent that automatically directs questions to the most appropriate AI assistant in your multi-assistant system using Databricks and DSPy 3.0. Discover how to leverage DSPy optimizers to maximize correct route selections while optimizing smaller models to reduce latency and create stateful interactions. Explore strategies for designing systems that can scale to support tens or hundreds of AI assistants while ensuring authorized access and tracking performance in production environments. Master the essential techniques for building routing agents that streamline workflows, reduce complexity, and improve efficiency when managing multiple specialized AI assistants. Gain practical knowledge through real-world examples that demonstrate how to add this powerful pattern to your existing AI infrastructure, complete with guidance on growth planning and system adaptability for enterprise-scale deployments.
