# 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.