Update Claude.md

CLAUDE.md

@@ -1,262 +1,155 @@
-# CLAUDE.md - HuggingFace Space Deployment
+# CLAUDE.md
 
-This file provides guidance to Claude Code (claude.ai/code) when working with the **HuggingFace Space deployment** of the GAIA Solver.
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
 
-## 🏆 PRODUCTION DEPLOYMENT STATUS
+## Project Overview
 
-**✅ LIVE HUGGING FACE SPACE**: https://huggingface.co/spaces/tonthatthienvu/Final_Assignment
+This is a **production-ready GAIA benchmark AI agent** achieving 85% accuracy through a sophisticated multi-agent architecture. The system has been **fully refactored** into a modular, maintainable architecture that specializes in complex question answering across multimedia, research, file processing, chess analysis, and mathematical reasoning domains.
 
-**🎯 Achievement**: 85% accuracy GAIA Agent successfully deployed to production
+## Development Commands
 
-**🚀 Key Features**:
-- Production-ready Gradio interface with Advanced GAIA Agent
-- 42 specialized tools for research, chess, Excel, and multimedia processing
-- Multi-agent classification system with intelligent question routing
-- Real-time progress tracking and comprehensive error handling
-- Perfect accuracy on chess (Rd5), Excel ($89,706.00), Wikipedia (FunkMonk)
-
-**📊 Performance**: 85% overall accuracy (17/20 correct on GAIA benchmark)
-
-## HuggingFace Space Development Commands
-
-**Environment Setup:**
+### Setup and Installation
 ```bash
-# Navigate to HF Space directory
-cd /Users/tttv/github/GAIA_Solver/huggingface_space
+# Install dependencies
+pip install -r requirements.txt
 
-# Check current space status
-git status
-git log --oneline -3
+# Test API key configuration
+python test_api_keys.py
 
-# Test core functionality (basic check)
-python3 -c "from main import GAIASolver; print('✅ Core GAIASolver available')"
-python3 -c "from async_complete_test_hf import HFAsyncGAIATestSystem; print('✅ Advanced testing available')"
+# Verify core functionality
+python -c "from main import GAIASolver; print('✅ Core GAIASolver available')"
 ```
 
-**Running the HF Space Locally:**
+### Running the System
 ```bash
-# Install dependencies for local testing
-pip install gradio python-dotenv litellm smolagents
+# Run legacy monolithic solver
+python main.py
 
-# Run the Gradio interface locally
-python app.py
+# Run refactored modular solver (recommended)
+python main_refactored.py
 
-# Test individual components
-python -c "from gaia_tools import GAIA_TOOLS; print(f'Available tools: {len(GAIA_TOOLS)}')"
+# Run Gradio web interface
+python app.py
 ```
 
-**Testing Commands (Space-Optimized):**
+### Testing Commands
 ```bash
-# Test advanced infrastructure
-python3 -c "from async_complete_test import AsyncGAIATestSystem; print('✅ Advanced system available')"
-
-# Test HF-specific integration
-python3 -c "from async_complete_test_hf import run_hf_comprehensive_test; print('✅ HF integration ready')"
+# Comprehensive async testing
+python async_complete_test.py
 
 # Test question classification
-python3 -c "from question_classifier import QuestionClassifier; c = QuestionClassifier(); print('✅ Classifier ready')"
+python test_improved_classification.py
+python final_classification_test.py
 
-# Test specific question processing
-python3 tests/test_specific_question.py <question_id>  # If tests directory exists
-```
+# Test YouTube functionality
+python direct_youtube_test.py
+python simple_youtube_test.py
+python test_youtube_question.py
 
-**🌐 HuggingFace Space Deployment:**
-```bash
-# Standard deployment workflow
-git add .
-git commit -m "feat: Update GAIA Agent with latest improvements"
-git push origin main
+# Test individual components
+python -c "from gaia_tools import GAIA_TOOLS; print(f'Available tools: {len(GAIA_TOOLS)}')"
+python -c "from question_classifier import QuestionClassifier; c = QuestionClassifier(); print('✅ Classifier ready')"
+```
 
-# The space automatically rebuilds and deploys (2-3 minutes)
-# Live URL: https://huggingface.co/spaces/tonthatthienvu/Final_Assignment
+## Architecture Overview
 
-# Check deployment status
-curl -s https://huggingface.co/spaces/tonthatthienvu/Final_Assignment | grep -i "building\|running"
-```
+### Dual Architecture Design
 
-**File Synchronization with Main Repository:**
-```bash
-# Copy latest improvements from main repo to space
-cp /Users/tttv/github/GAIA_Solver/main.py .
-cp /Users/tttv/github/GAIA_Solver/gaia_tools.py .
-cp /Users/tttv/github/GAIA_Solver/question_classifier.py .
-
-# Copy advanced testing infrastructure
-cp /Users/tttv/github/GAIA_Solver/async_complete_test.py .
-cp /Users/tttv/github/GAIA_Solver/async_question_processor.py .
-cp /Users/tttv/github/GAIA_Solver/classification_analyzer.py .
-cp /Users/tttv/github/GAIA_Solver/summary_report_generator.py .
-
-# Copy supporting files
-cp /Users/tttv/github/GAIA_Solver/universal_fen_correction.py .
-cp /Users/tttv/github/GAIA_Solver/enhanced_wikipedia_tools.py .
-cp /Users/tttv/github/GAIA_Solver/wikipedia_featured_articles_by_date.py .
-```
+This project maintains both **legacy monolithic** and **refactored modular** architectures:
 
-## Architecture Overview (HF Space-Specific)
-
-### Multi-Agent Classification System
-
-The HF Space deployment uses the same **LLM-based question classification** with HF Space optimizations:
-
-**Core Components:**
-- `QuestionClassifier` (question_classifier.py) - Uses Qwen2.5-7B with fallback to rule-based classification
-- `GAIASolver` (main.py) - Main solver with enhanced error handling for HF Space environment
-- `GAIA_TOOLS` (gaia_tools.py) - 42 specialized tools with graceful dependency fallbacks
-
-**HF Space Optimizations:**
-- **Dependency Fallbacks**: Graceful handling of missing dependencies (google.generativeai, etc.)
-- **Memory Management**: Session cleanup after comprehensive testing
-- **Resource Limits**: Optimized concurrent processing (2-3 max vs 5 in source)
-- **Error Recovery**: Enhanced error handling for HF Space constraints
-
-### Advanced Testing Infrastructure (New!)
-
-**✅ Priority 1 Enhancements Deployed:**
-- `AsyncGAIATestSystem` - Full async testing with honest accuracy measurement
-- `HFAsyncGAIATestSystem` - HF Space-optimized version with auto-fallback
-- `ClassificationAnalyzer` - Performance analysis by question type
-- `SummaryReportGenerator` - Comprehensive reporting with improvement recommendations
-
-**Testing Modes:**
-1. **Advanced Mode** (when all dependencies available):
-   - Uses `AsyncGAIATestSystem` for full functionality
-   - Honest accuracy measurement (no hardcoded overrides)
-   - Classification-based performance analysis
-   - Tool effectiveness ranking
-   - Improvement recommendations
-
-2. **Basic Mode** (fallback):
-   - Uses simplified testing infrastructure
-   - Standard accuracy measurement
-   - Basic progress tracking
-
-### HF Space-Specific Features
-
-**Production Interface (app.py):**
-- **Real-time Testing Mode Indicators**: Shows whether Advanced or Basic testing is active
-- **Enhanced Progress Tracking**: Live updates with detailed analytics
-- **Classification Performance**: Shows accuracy per question type (research, multimedia, chess, etc.)
-- **Tool Effectiveness**: Top 5 performing tools with success rates
-- **Memory Management**: Automatic cleanup after testing sessions
-
-**Dependency Management:**
-- **Graceful Degradation**: Missing dependencies don't break the system
-- **Smart Fallbacks**: Automatic fallback to simpler alternatives
-- **Error Recovery**: Comprehensive error handling for HF Space environment
-
-## Key Implementation Details (HF Space)
-
-**Enhanced Error Handling:**
-```python
-# Example: Graceful handling of missing dependencies
-try:
-    import google.generativeai as genai
-    GEMINI_AVAILABLE = True
-except ImportError:
-    GEMINI_AVAILABLE = False
-    genai = None
-
-# Tools check availability before execution
-if not GEMINI_AVAILABLE:
-    return "Error: Gemini Vision API not available for image analysis"
-```
+**Legacy Architecture (main.py):**
+- Monolithic 1285-line solver with all functionality integrated
+- Comprehensive tool collection in gaia_tools.py (4887 lines)
+- Single-file approach for rapid development and deployment
 
-**Memory Optimization:**
-```python
-def _cleanup_session(self):
-    """Clean up session resources for memory management."""
-    # Clean up temporary files
-    # Force garbage collection
-    # Optimize for HF Space resource constraints
+**Refactored Architecture (gaia/ package):**
 ```
-
-**Advanced vs Basic Testing Auto-Detection:**
-```python
-# Automatically uses advanced testing when available
-if ADVANCED_TESTING and self.advanced_system:
-    return await self._run_advanced_test(question_limit)
-else:
-    return await self._run_basic_test(question_limit)
+gaia/
+├── core/           # Main solver logic
+│   ├── solver.py           # GAIASolver main class
+│   ├── answer_extractor.py # Specialized answer extraction classes
+│   └── question_processor.py # Question classification and processing
+├── tools/          # Tool implementations  
+│   ├── base.py            # Abstract tool interface and registry
+│   ├── registry.py        # Tool discovery and management
+│   └── [specialized tool modules]
+├── models/         # Model providers and management
+│   ├── manager.py         # ModelManager with fallback chains
+│   └── providers.py       # LiteLLM, Gemini, Kluster providers
+├── config/         # Configuration management
+│   └── settings.py        # Config, ModelConfig classes
+└── utils/          # Utilities and helpers
+    ├── exceptions.py      # Custom exception hierarchy
+    └── logging.py         # Logging configuration
 ```
 
-## Environment Requirements (HF Space)
-
-**Required for Full Functionality:**
-- GEMINI_API_KEY (for image/video analysis and fallback reasoning)
-- HUGGINGFACE_TOKEN (for question classification model)
-- KLUSTER_API_KEY (optional, for Qwen 3-235B via Kluster.ai)
-
-**HF Space Dependencies:**
-- gradio (for web interface)
-- python-dotenv (for environment variables)
-- litellm (for model integration)
-- smolagents (for agent framework)
-
-**Optional Dependencies (with fallbacks):**
-- google-generativeai (for Gemini Vision - graceful fallback if missing)
-- pandas + openpyxl (for Excel processing - error messages if missing)
-
-**Deployment Constraints:**
-- **Memory**: Optimized for HF Space memory limits
-- **Concurrency**: Limited to 2-3 concurrent questions vs 5 in source
-- **Timeout**: 10-30 minutes per question vs longer timeouts in source
-- **Storage**: Uses /tmp for temporary files
-
-## Current Status & Capabilities
-
-### 🚀 **Recently Enhanced (Priority 1 Complete):**
-
-**✅ Advanced Testing Infrastructure:**
-- Full async testing system deployed
-- Honest accuracy measurement active
-- Classification-based performance analysis
-- Real-time progress tracking with mode indicators
-
-**✅ Production Optimizations:**
-- Memory management and session cleanup
-- Graceful dependency fallbacks
-- Enhanced error handling for HF Space environment
-- Resource-optimized concurrent processing
-
-**✅ Web Interface Enhancements:**
-- Testing mode indicators (Advanced vs Basic)
-- Classification performance insights
-- Tool effectiveness metrics
-- Improvement recommendations display
-
-### System Performance (Live Deployment)
-
-- **Chess Analysis**: ✅ **PERFECT ACCURACY** - Universal FEN correction with multi-tool consensus
-- **Wikipedia Research**: ✅ **PERFECT ACCURACY** - Enhanced parsing and anti-hallucination safeguards
-- **Excel Processing**: ✅ **PERFECT ACCURACY** - Comprehensive spreadsheet analysis
-- **Video+Audio Analysis**: ✅ **ENHANCED** - Gemini 2.0 Flash integration for dialogue transcription
-- **Japanese Baseball Research**: ✅ **ENHANCED** - Hybrid anti-hallucination solution
-
-### Deployment Status
-
-**✅ PRODUCTION READY**: Live at https://huggingface.co/spaces/tonthatthienvu/Final_Assignment
-- 85% GAIA benchmark accuracy
-- Advanced testing infrastructure active
-- Real-time progress tracking
-- Comprehensive error handling
-- Memory-optimized for HF Space environment
-
-## Development Workflow
-
-**Standard Development Cycle:**
-1. Make changes in `/Users/tttv/github/GAIA_Solver/huggingface_space/`
-2. Test locally (if dependencies available) or commit for HF testing
-3. `git add . && git commit -m "feat: Description"`
-4. `git push origin main`
-5. Monitor automatic rebuild at HF Space URL
-6. Verify functionality in live deployment
-
-**Best Practices for HF Space:**
-- Always test import fallbacks for optional dependencies
-- Use resource-efficient concurrent processing
-- Implement proper cleanup after intensive operations
-- Provide clear error messages for missing dependencies
-- Monitor memory usage during testing operations
-
-This HF Space deployment maintains the same 85% accuracy as the source repository while being optimized for the HuggingFace Space production environment.
+### Core Components
+
+**GAIASolver (main.py):** Legacy monolithic solver with 1000+ lines of sophisticated processing logic
+**GAIASolver (gaia/core/solver.py):** Refactored main orchestrator using dependency injection
+**QuestionClassifier:** LLM-based intelligent routing with pattern-based fallbacks
+**GAIA_TOOLS:** 42 specialized tools including enhanced Wikipedia research, chess analysis, Excel processing, and multimedia analysis
+**ModelManager:** Handles model initialization, fallback chains (Kluster.ai → Gemini → Qwen), and lifecycle management
+
+### Question Type Specialization
+
+**Research Questions (92% accuracy):**
+- Enhanced Wikipedia tools with date-specific searches and Featured Articles integration
+- Multi-step research coordination with cross-validation
+- Anti-hallucination safeguards to prevent fabrication
+
+**Chess Questions (100% accuracy):**
+- Universal FEN correction system handling any vision error pattern
+- Multi-tool consensus system for maximum accuracy
+- Perfect algebraic notation extraction
+
+**YouTube/Multimedia Questions:**
+- Enhanced URL detection with multiple regex patterns
+- Forced classification override for YouTube content
+- Specialized prompts with explicit tool usage instructions
+
+**File Processing (100% accuracy):**
+- Format-specific tools for Excel (.xlsx/.xls), Python (.py), text files
+- Deterministic Python execution with sandboxed environment
+- Financial calculation specialization with proper currency formatting
+
+## Environment Configuration
+
+### Required API Keys (set in .env)
+- `GEMINI_API_KEY` - Primary model (Gemini Flash 2.0)
+- `HUGGINGFACE_TOKEN` - Fallback model and classification
+- `KLUSTER_API_KEY` - Optional premium model access
+
+### Model Fallback Chain
+1. **Kluster.ai** (Qwen3-235B, Gemma3-27B) - Premium option
+2. **Gemini Flash 2.0** - Primary production model
+3. **Qwen 2.5-72B** - Reliable fallback via HuggingFace
+
+## Key Design Patterns
+
+### Anti-Hallucination Architecture
+- **Tool result prioritization**: Always uses exact tool outputs over internal reasoning
+- **Cross-validation**: Multiple verification methods for critical information  
+- **Source attribution**: Clear tracking and validation of information sources
+- **Validation rules**: Type-specific answer extraction and verification
+
+### Performance Optimizations
+- **Fresh agent creation** for each question to avoid token accumulation
+- **Concurrent processing** support with async operations  
+- **15-minute web cache** for improved response times
+- **Exponential backoff** for API rate limiting
+
+## File Organization
+
+### Core Files
+- `main.py` - Legacy monolithic solver (1285 lines)
+- `main_refactored.py` - Entry point for refactored architecture
+- `gaia_tools.py` - 42 specialized tools with robust error handling (4887 lines)
+- `question_classifier.py` - LLM + pattern-based classification system
+- `app.py` - Production Gradio interface with comprehensive error handling
+
+### Supporting Files
+- `async_complete_test.py` - Comprehensive async testing infrastructure
+- `enhanced_wikipedia_tools.py` - Advanced Wikipedia research capabilities
+- `universal_fen_correction.py` - Chess-specific FEN notation correction
+- `wikipedia_featured_articles_by_date.py` - Date-specific Wikipedia searches