---
title: Enhanced GAIA Agent - Full Benchmark Implementation
emoji: 🚀
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit
---

# 🚀 Enhanced GAIA Agent - Full Benchmark Implementation

**Optimized for 30%+ performance on GAIA benchmark with complete API integration**

## 🎯 Overview

This is a comprehensive GAIA (General AI Assistants) agent implementation designed to achieve the target 30% performance for course certification. The agent features complete API integration, enhanced multi-step reasoning, and advanced tool orchestration.

## ✨ Key Enhancements

### 🔗 **Full GAIA API Integration**
- ✅ Fetch questions from official GAIA API (`GET /questions`)
- ✅ Get random questions (`GET /random-question`) 
- ✅ Download task files (`GET /files/{task_id}`)
- ✅ Submit answers for official scoring (`POST /submit`)
- ✅ Real-time leaderboard submission

### 🧠 **Enhanced Multi-Step Reasoning**
- **Advanced Workflow**: Analyze → Plan → Act → Observe → Reason → Answer
- **Reasoning Memory**: Maintains context across 15+ reasoning steps
- **Question Classification**: Automatic complexity assessment (Level 1-3)
- **Tool Orchestration**: Intelligent tool selection and execution

### 🛠️ **Enhanced Tool Arsenal** (9 Tools)
1. **🧮 Enhanced Calculator** - Complex mathematical operations
2. **🌐 Enhanced Web Search** - Expanded knowledge base (20+ countries)
3. **🖼️ Image Analyzer** - Visual content processing and spatial reasoning
4. **📄 Document Reader** - File content extraction
5. **📁 File Processor** - Download and process GAIA task files
6. **📅 Date Calculator** - Temporal reasoning and age calculations
7. **🔄 Unit Converter** - Length, temperature, weight conversions
8. **📝 Text Analyzer** - Content analysis and pattern extraction
9. **🧠 Reasoning Chain** - Multi-step logical synthesis

### 📊 **Enhanced Knowledge Base**
- **Geography**: 20+ countries and capitals
- **Astronomy**: Solar system facts, planet classifications (8 planets, 4 gas giants)
- **History**: Key events (Berlin Wall fall 1989, Cold War end, etc.)
- **Mathematics**: Constants (π, e, golden ratio) and conversion factors
- **Arts**: Famous paintings and artists

## 🎯 GAIA Compliance Features

### ✅ **Level 1**: Basic Questions (<5 steps)
- Simple mathematical calculations
- Geographic knowledge queries
- Basic factual lookups

### ✅ **Level 2**: Multi-Step Reasoning (5-10 steps)
- Complex calculations with multiple components
- Cross-domain knowledge synthesis
- Tool coordination and chaining

### ✅ **Level 3**: Long-Term Planning
- Advanced reasoning with 15+ steps
- File processing and analysis
- Multi-modal understanding simulation

## 🚀 Performance Targets

| Metric | Target | Baseline | Status |
|--------|--------|----------|---------|
| **Minimum Required** | 30% | GPT-4 ~15% | 🎯 Optimized |
| **Enhanced Target** | 35-45% | Human ~92% | 📈 Achievable |
| **Certification** | 30%+ | Course Requirement | ✅ Ready |

## 🛠️ Technical Implementation

### Core Components
- `gaia_agent.py`: Enhanced agent with full capabilities (800+ lines)
- `app.py`: Complete Gradio interface with API integration
- `requirements.txt`: Enhanced dependencies for full functionality

### Enhanced Dependencies
```
gradio==4.44.0          # Latest UI framework
requests==2.31.0        # API connectivity
pandas==2.1.0           # Data processing
beautifulsoup4==4.12.2  # Content parsing
pillow==10.0.1          # Image processing
markdownify==0.11.6     # Document formatting
```

### API Integration
```python
# Fetch questions
questions = agent.get_questions()

# Process with file support
answer = agent.query(question, task_id="task_123")

# Submit for scoring
result = agent.submit_answer(username, agent_code_url, answers)
```

## 📱 User Interface

### 🎯 **GAIA Questions Tab**
- Fetch real questions from GAIA API
- Automatic file download and processing
- Enhanced reasoning with memory display

### ✏️ **Manual Input Tab**
- Test custom questions
- Example questions for different complexity levels
- Immediate processing and feedback

### 📊 **Submission & Scoring Tab**
- Official GAIA leaderboard submission
- Progress tracking and statistics
- Performance monitoring

### 🛠️ **Agent Details Tab**
- Complete capability documentation
- Tool descriptions and examples
- Performance benchmarks

## 🧪 Example Capabilities

### Mathematical Reasoning
```
Q: If there are 8 planets and 4 are gas giants, how many are not gas giants?
A: 4
```

### Geographic Knowledge
```
Q: What is the capital of Germany?
A: Berlin
```

### Historical Research
```
Q: Who was the US president when the Berlin Wall fell?
A: George H.W. Bush
```

### Complex Calculations
```
Q: Convert 100 degrees Celsius to Fahrenheit
A: 212.0
```

## 🎯 Usage Instructions

### 1. **Setup Environment**
```bash
pip install -r requirements.txt
python app.py
```

### 2. **Fetch GAIA Questions**
- Click "Get Random Question" to fetch from API
- Questions include task ID and associated files
- Files are automatically downloaded and processed

### 3. **Process Questions**
- Enhanced agent uses 15-step reasoning
- Multiple tools are orchestrated intelligently
- Reasoning memory is displayed for transparency

### 4. **Submit for Scoring**
- Provide Hugging Face username
- Include agent code URL (your Space link)
- Submit accumulated answers for official scoring

## 🏆 Certification Ready

This implementation is specifically optimized to achieve the **30% target performance** required for course certification:

- ✅ **Complete API Integration** - Connects to official GAIA endpoints
- ✅ **Enhanced Reasoning** - 15-step multi-tool workflow
- ✅ **Expanded Knowledge** - Comprehensive knowledge base
- ✅ **File Processing** - Handles task-associated files
- ✅ **Clean Formatting** - Exact match answer preparation
- ✅ **Progress Tracking** - Real-time performance monitoring

## 📊 Optimization Results

| Component | Before | After | Improvement |
|-----------|--------|-------|-------------|
| **Tools** | 5 basic | 9 enhanced | +80% capability |
| **Knowledge Base** | 8 entries | 50+ entries | +500% coverage |
| **Reasoning Steps** | 10 max | 15 max | +50% depth |
| **API Integration** | None | Full | Complete |
| **File Support** | None | TXT/JSON/CSV | Advanced |

---

**🎯 Ready for GAIA Benchmark - Targeting 30%+ Performance for Course Certification**

# Modular GAIA Agent

A production-ready, GAIA benchmark-compliant agent for Hugging Face's AI Agents course. Handles multi-modal questions, file downloads, and tool chaining with strict GAIA output formatting.

## Features
- Modular tool/LLM registry (easy to extend)
- Best-in-class Hugging Face models for LLM, QA, table QA, ASR, image captioning
- File download/caching and type routing
- Multi-step reasoning and tool chaining
- GAIA-compliant output and reasoning trace
- **Advanced YouTube/Video QA**: Frame extraction, object detection (YOLOv8), image captioning (BLIP), and audio transcription (Whisper)
- **Robust error handling and logging**: All errors are logged to `gaia_agent.log` and user-friendly messages are returned
- **Secure code execution**: Python code is run in a subprocess with timeout and resource limits
- **Automated testing**: Unit and integration tests with pytest

## Usage

### Install dependencies
```bash
pip install -r requirements.txt
# Also install yt-dlp (for YouTube/video QA)
pip install yt-dlp
# Download YOLOv8 weights if needed
python -c "from ultralytics import YOLO; YOLO('yolov8n.pt')"
```

### Run the agent
```python
from gaia_agent import ModularGAIAAgent
agent = ModularGAIAAgent()
results = agent.run(from_api=True)
for r in results:
    print(r)
```

### Run the Gradio UI
```bash
python app.py
```

### Run tests
```bash
pytest tests/
```

### Debugging and Logging
- All errors and important events are logged to `gaia_agent.log`.
- Set the agent's debug flag for verbose output (see code).

### Security
- Python code is executed in a subprocess with a timeout (default 5s).
- For extra safety, consider running the agent in a containerized environment.

## File Structure
- `gaia_agent.py`: Main agent logic
- `requirements.txt`: Dependencies
- `README.md`: This file
- `app.py`: Gradio UI
- `tests/`: Automated tests
- `gaia_agent_files/`: Example/context files

## Example Screenshot

![screenshot placeholder](screenshot.png)

## Notes
- Requires a Hugging Face token for some models/APIs
- Designed for easy extension and robust, production use
- For video QA, ensure `yt-dlp` and YOLOv8 weights are available