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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.