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| # GAIA System Improvements: YouTube Question Classification and Tool Selection | |
| ## Overview | |
| This document outlines the improvements made to the GAIA Agent system's ability to classify and process YouTube video questions, focusing on enhanced classification and tool selection mechanisms. | |
| ## Problem Statement | |
| Previous versions of the GAIA system had inconsistent behavior when handling YouTube video questions: | |
| - YouTube URLs were sometimes misclassified | |
| - Even when correctly classified, the wrong tools might be selected | |
| - Tool ordering was inconsistent, causing analysis failures | |
| - Fallback mechanisms didn't consistently identify YouTube content | |
| ## Key Improvements | |
| ### 1. Enhanced YouTube URL Detection | |
| - **Multiple URL Pattern Matching**: Added two complementary regex patterns to catch different YouTube URL formats: | |
| - Basic pattern for standard YouTube links | |
| - Enhanced pattern for various formats (shortened links, embed URLs, etc.) | |
| - **Content Pattern Detection**: Added patterns to identify YouTube-related content even without a full URL | |
| ### 2. Improved Question Classifier | |
| - **Fast Path Detection**: Added early YouTube URL detection to short-circuit full classification | |
| - **Tool Prioritization**: Modified `_create_youtube_video_classification` method to ensure analyze_youtube_video always appears first | |
| - **Fallback Classification**: Enhanced the fallback mechanism to detect YouTube content when LLM classification fails | |
| - **Task Type Recognition**: Better detection of counting, comparison, and speech analysis tasks in YouTube videos | |
| ### 3. Enhanced Solver Logic | |
| - **Force Classification Override**: In `solve_question`, added explicit YouTube URL detection to force multimedia classification | |
| - **Tool Reordering**: If analyze_youtube_video isn't the first tool, it gets promoted to first position | |
| - **Enhanced Prompt Selection**: Ensures YouTube questions always get the multimedia prompt with proper instructions | |
| ### 4. Improved Multimedia Prompt | |
| - **Explicit Tool Instructions**: Added clear directive that analyze_youtube_video MUST be used for YouTube URLs | |
| - **Never Use Other Tools**: Added an explicit instruction to never use other tools for YouTube videos | |
| - **URL Extraction**: Improved guidance on extracting the exact URL from the question | |
| ### 5. Comprehensive Testing | |
| - **Classification Tests**: Created `test_improved_classification.py` to verify accurate URL detection and tool selection | |
| - **Direct Tests**: Created `direct_youtube_test.py` to test YouTube tool usage directly | |
| - **End-to-End Tests**: Enhanced `test_youtube_question.py` to validate the full processing pipeline | |
| - **Mock YouTube Analysis**: Implemented mock versions of the analyze_youtube_video function for testing | |
| ## Test Results | |
| Our improvements have been validated through multiple test cases: | |
| - YouTube URL detection across various formats (standard URLs, shortened URLs, embedded links) | |
| - Proper classification of YouTube questions to the multimedia agent | |
| - Correct tool selection, with analyze_youtube_video as the first tool | |
| - Fallback detection when classification is uncertain | |
| - Tool prioritization in solver logic | |
| ## Conclusion | |
| These improvements ensure that the GAIA system will consistently: | |
| 1. Recognize YouTube URLs in various formats | |
| 2. Classify YouTube questions correctly as multimedia | |
| 3. Select analyze_youtube_video as the first tool | |
| 4. Process YouTube content appropriately | |
| The system is now more reliable and consistent in handling YouTube video questions, which improves overall benchmark performance. | |