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Summary Length Reduction Fix - Progress Tracking
Problem: Generated summary length getting reduced after one or two requests
Root Causes Identified:
- Model state retention between requests
- Inconsistent parameter settings (max_length/min_length)
- Input text variability and scrubbing issues
- Potential caching issues in model management
Plan of Action:
Phase 1: Model State Management β COMPLETED
- Modify SummarizerAgent to ensure proper model state reset
- Add model reloading mechanism between requests
- Implement proper caching with state management
Phase 2: Parameter Optimization β COMPLETED
- Adjust max_length/min_length based on input text length
- Add dynamic parameter calculation
- Implement fallback mechanisms for short inputs
Phase 3: Input Validation & Scrubbing β COMPLETED
- Enhance PHI scrubbing consistency
- Add input text length validation
- Implement text preprocessing improvements
Phase 4: Testing & Validation β COMPLETED
- Create test cases for different input scenarios
- Monitor summary length consistency
- Validate fix effectiveness
Summary of Comprehensive Fix:
β Model State Management
- Enhanced
SummarizerAgentwith state tracking for request count and last summary length - Added
reset_state()method to clear internal counters - Implemented dynamic parameter calculation based on input text characteristics
β Parameter Optimization
- Dynamic
max_lengthandmin_lengthcalculation based on input word count - Adaptive parameters that adjust based on previous summary performance
- Fallback mechanisms for short or problematic inputs
β Input Validation & Scrubbing
- Enhanced PHI scrubbing with additional pattern matching
- Improved input text preprocessing and cleaning
- Added validation for text length and content quality
β Testing & Validation
- Created comprehensive test suite for summary consistency
- Implemented edge case handling for various input scenarios
- Added logging and monitoring for performance tracking