Comprehensive refactoring of the codebase to eliminate significant duplication and enhance modularity - Updated the design document to reflect a unified architecture across agents, API clients, and services. Introduced shared components for HTTP handling, rate limiting, and metadata models, leading to improved maintainability and reduced file sizes. Established a clear separation of concerns and streamlined agent logic for better performance and easier testing.

Refactor PlannerAgent for enhanced entity recognition and coordination strategies - Improved the entity recognition and intent analysis capabilities in the PlannerAgent, leading to more efficient query processing. Updated the MusicRecommenderState model to support additional fields for extracted entities and conversation context. Enhanced logging for better traceability during planning and revised design documentation to reflect these updates and outline future enhancements.