Remove GeminiLLM integration from ReportGenerationService, simplifying the report generation process by eliminating the markdown report generation logic. This change focuses on streamlining the service and enhancing maintainability.
Refactor report generation to focus solely on medical data. Introduce MedicalReport interface, streamlining report content by removing unnecessary technical details. Consolidate endpoints to return only JSON format for reports, enhancing clarity and usability. Update report generation logic to align with new structure, ensuring compatibility with existing ComprehensiveReport interface for backward compatibility.
Add integration guide for Report Generation API, detailing endpoints for generating full, markdown, and JSON reports. Update agent executor and triage routes to track tool executions and guidelines count for report generation, enhancing logging for better traceability. Ensure all tool executions are logged for report generation success.
Refactor intent classification logic in IntentClassifierService to prioritize image presence and improve casual greeting detection. Introduce a structured priority system for intent classification, enhancing accuracy for triage and disease information queries while ensuring casual greetings are only identified when appropriate. Update the isCasualGreeting method to exclude medical terms from greeting detection.
Implement intent classification for casual greetings in the IntentClassifierService and update MedagenAgent to route user queries based on classified intent. Enhance response handling in triage routes to utilize markdown messages when available. Extend TriageResult type to include a message field for markdown responses from the LLM.
Enhance CV result handling in agent executor by filtering based on confidence threshold and updating logging. Adjust match threshold and count in RAG service for improved guideline retrieval.
