Refactor chat interface for per-user session management - Removed global session and conversation history management, transitioning to a per-user model using `gr.State`. Updated message processing to include user-specific session IDs, enhancing multi-user safety and improving fallback handling. This update aims to streamline user interactions and maintain session context effectively.
Remove obsolete phase completion summaries and demo test scripts - Deleted `PHASE1_COMPLETION_SUMMARY.md`, `PHASE2_COMPLETION_SUMMARY.md`, `PHASE3_COMPLETION_SUMMARY.md`, and associated demo test scripts to streamline the codebase and eliminate unused documentation. This cleanup supports ongoing refactoring efforts and enhances overall project maintainability.
Refactor chat interface for improved user experience - Updated the chat interface to enhance user interaction by refining the layout and adding new features. This update aims to provide a more intuitive and engaging experience for users while utilizing the music discovery functionalities.
Add autopep8 as a dependency for code formatting - Updated pyproject.toml to include autopep8 version 2.3.2 for improved code style consistency. Modified uv.lock to reflect the new dependency and its requirements. This update aims to enhance code maintainability and adherence to style guidelines.
Enhance README.md and main.py for HuggingFace Spaces deployment - Updated README to include live demo links, deployment checklist, and detailed instructions for setting up HuggingFace Spaces. Improved main.py with enhanced environment detection for Spaces and optimized backend configuration, ensuring a smoother deployment experience. This update aims to provide clearer guidance for users and streamline the deployment process for the BeatDebate application.
Enhance intent-aware recommendation system design and scoring logic - Updated the design document to introduce a new query type for "by artist" intent, detailing user goals, scoring strategies, and agent workflows. Refactored scoring logic in the quality scorer and ranking logic to accommodate exploration preferences and artist alias handling. Improved candidate generation for artist-specific queries and refined genre filtering methods to support hybrid queries. This update aims to better align system behavior with user intent and enhance overall recommendation accuracy.
Update configuration files and remove obsolete test scripts - Increased line length limit in `pyproject.toml`, `test_hybrid_intent_final.py`, `test_hybrid_intent_fix.py`, `test_hybrid_subtypes.py`, `test_intent_fix.py`, `test_quick_hybrid.py`, `test_ui_improvements.py` to enhance code formatting flexibility. Deleted unused test files to streamline the codebase and improve maintainability. This cleanup supports ongoing refactoring efforts and enhances overall project structure.
Update .gitignore and remove obsolete cleanup documentation - Added `.gradio` and `tests/data/cache` to `.gitignore` to prevent unnecessary file tracking. Deleted outdated cleanup documentation files (`AGENT_CLEANUP_COMPLETION.md` and `CLEANUP_PLAN.md`) to streamline the codebase and remove obsolete references. This cleanup supports ongoing refactoring efforts and enhances overall project maintainability.
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.
Refactor PlannerAgent for improved entity recognition and coordination - Enhanced the entity recognition and intent analysis capabilities in the PlannerAgent, leading to better query processing. Updated the MusicRecommenderState model to accommodate new fields for extracted entities and conversation context. Improved logging for enhanced traceability during planning and revised design documentation to reflect these updates and outline future enhancements.
Enhance PlannerAgent with entity recognition and coordination strategies - Implemented enhanced entity recognition and intent analysis in the PlannerAgent, allowing for improved query processing and coordination strategies. Updated the MusicRecommenderState model to include new fields for extracted entities, intent analysis, and conversation context. Enhanced logging and reasoning steps for better traceability during planning. Revised design documentation to reflect these changes and outline future enhancements.
Enhance design documentation for PlannerAgent entity recognition - Expanded the design document to detail current functionality, limitations, strengths, and proposed enhancements for the PlannerAgent. Included before and after examples of query processing to illustrate improvements in entity extraction and coordination strategies. Updated TODO list to reflect ongoing enhancements.
Update dependencies and enhance logging and configuration - Added google-generativeai to pyproject.toml and uv.lock, improved logging in main.py, and updated environment variable loading for better configuration management. Also, refined the .gitignore to include .gradio directory.
Phase 2.3: Update Design Documents and pyproject.toml - Revised design documents to reflect implementation details for JudgeAgent and PlannerAgent, including evaluation framework and diversity targets. Increased line length limit in pyproject.toml for code formatting consistency.
Phase 2.2: Enhance Design Documentation and Update pyproject.toml - Increase line length limit for Ruff, clarify GenreMoodAgent and DiscoveryAgent implementation details, and outline future considerations for ChromaDB integration and advanced caching strategies.
chore: Update performance requirements in design document - Revise response time and strategy generation metrics for demo quality, add memory usage and API rate limit compliance criteria
