metadata

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)

🧮 Enhanced Calculator - Complex mathematical operations
🌐 Enhanced Web Search - Expanded knowledge base (20+ countries)
🖼️ Image Analyzer - Visual content processing and spatial reasoning
📄 Document Reader - File content extraction
📁 File Processor - Download and process GAIA task files
📅 Date Calculator - Temporal reasoning and age calculations
🔄 Unit Converter - Length, temperature, weight conversions
📝 Text Analyzer - Content analysis and pattern extraction
🧠 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

# 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

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

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

from gaia_agent import ModularGAIAAgent
agent = ModularGAIAAgent()
results = agent.run(from_api=True)
for r in results:
    print(r)

Run the Gradio UI

python app.py

Run tests

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

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