README.md

---
title: 🚀 GAIA Multi-Agent System - BENCHMARK OPTIMIZED
emoji: 🕵🏻‍♂️
colorFrom: indigo
colorTo: indigo
sdk: gradio
sdk_version: 5.25.2
app_file: app.py
pinned: false
hf_oauth: true
# optional, default duration is 8 hours/480 minutes. Max duration is 30 days/43200 minutes.
hf_oauth_expiration_minutes: 480
---

# 🚀 GAIA Multi-Agent System - BENCHMARK OPTIMIZED

A **GAIA benchmark-optimized AI agent system** specifically designed for **exact-match evaluation** with aggressive response cleaning and direct answer formatting.

## 🎯 **GAIA Benchmark Compliance**

### **🔥 Exact-Match Optimization**
- **Direct Answers Only**: No "The answer is" prefixes or explanations
- **Clean Responses**: Complete removal of thinking processes and reasoning
- **Perfect Formatting**: Numbers, facts, or comma-separated lists as required
- **API-Ready**: Responses formatted exactly for GAIA submission

### **🧠 Multi-Model AI Integration**
- **10+ AI Models**: DeepSeek-R1, GPT-4o, Llama-3.3-70B, Kimi-Dev-72B, and more
- **6 AI Providers**: Together, Novita, Featherless-AI, Fireworks-AI, HuggingFace, OpenAI
- **Priority-Based Fallback**: Intelligent model selection with graceful degradation
- **Aggressive Cleaning**: Specialized extraction for benchmark compliance

### **⚡ Performance Features**
- **Fallback Speed**: <100ms responses for common questions
- **High Accuracy**: Optimized for GAIA Level 1 questions (targeting 30%+ score)
- **Exact Match**: Designed for GAIA's strict evaluation criteria
- **Response Validation**: Built-in compliance checking

## 🏗️ **GAIA-Optimized Architecture**

### **Core Components**

```
🎯 GAIA Benchmark-Optimized System
├── 🤖 BasicAgent (GAIA Interface)
├── 🧠 MultiModelGAIASystem (Optimized Core)
├── 🔧 Multi-Provider AI Clients (10+ Models)
│   ├── 🔥 Together (DeepSeek-R1, Llama-3.3-70B)
│   ├── ⚡ Novita (MiniMax-M1-80k, DeepSeek variants)
│   ├── 🪶 Featherless-AI (Kimi-Dev-72B, Jan-nano)
│   ├── 🚀 Fireworks-AI (Llama-3.1-8B)
│   ├── 🤗 HF-Inference (Specialized tasks)
│   └── 🤖 OpenAI (GPT-4o, GPT-3.5-turbo)
├── 🛡️ Enhanced Fallback System (Exact answers)
├── 🧽 Aggressive Response Cleaning (Benchmark compliance)
└── 🎨 Gradio Interface (GAIA evaluation ready)
```

### **GAIA Processing Pipeline**

1. **Question Analysis** → Determine question type and expected format
2. **Fallback Check** → Fast, accurate answers for simple questions  
3. **AI Model Query** → Multi-model reasoning with DeepSeek-R1 priority
4. **Response Extraction** → Aggressive cleaning to remove all reasoning
5. **Format Compliance** → Final validation for exact-match submission

## 🚀 **Getting Started**

### **Installation**

```bash
# Clone the repository
git clone <your-repo-url>
cd Final_Assignment_Template

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # Linux/Mac
# or
.venv\Scripts\activate  # Windows

# Install dependencies
pip install -r requirements.txt
```

### **Configuration**

1. **Set HF Token** (Required for AI models):
   ```bash
   export HF_TOKEN="your_hf_token_here"
   ```

2. **Set OpenAI Key** (Optional, for GPT models):
   ```bash
   export OPENAI_API_KEY="your_openai_key_here"
   ```

3. **Test GAIA Compliance**:
   ```bash
   python test_gaia.py
   ```

4. **Launch Web Interface**:
   ```bash
   python app.py
   ```

## 🧪 **Testing & Validation**

### **GAIA Compliance Testing**

```bash
# Run comprehensive GAIA compliance tests
python test_gaia.py

# Expected output:
# ✅ Responses are GAIA compliant
# ✅ Reasoning is properly cleaned  
# ✅ API format is correct
# ✅ Ready for exact-match evaluation
```

### **Expected GAIA Results**
- ✅ **Math**: "What is 15 + 27?" → "42" (not "The answer is 42")
- ✅ **Geography**: "What is the capital of Germany?" → "Berlin" (not "The capital of Germany is Berlin")
- ✅ **Science**: "How many planets are in our solar system?" → "8" (not "There are 8 planets")

## 📊 **GAIA Benchmark Performance**

### **Target Metrics**
- **Level 1 Questions**: Targeting 30%+ accuracy for course completion
- **Response Time**: <5 seconds average per question
- **Compliance Rate**: 90%+ exact-match format compliance
- **Fallback Coverage**: 100% availability even without AI models

### **Question Types Optimized**

| Type | GAIA Format | Example Response |
|------|-------------|------------------|
| 🧮 **Mathematical** | Just the number | "42" |
| 🌍 **Geographical** | Just the place name | "Paris" |
| 🔬 **Scientific** | Just the fact/value | "8" |
| 📝 **Factual** | Concise answer | "H2O" |
| 📊 **Lists** | Comma-separated | "apples, oranges, bananas" |

## 🔧 **Technical Implementation**

### **Response Cleaning Process**

```python
# GAIA-optimized cleaning pipeline:
1. Remove <think> tags completely
2. Extract explicit answer markers
3. Remove reasoning phrases
4. Clean formatting artifacts  
5. Validate compliance
6. Return direct answer only
```

### **Key Dependencies**

```txt
gradio>=5.34.2          # Web interface with OAuth
huggingface_hub         # Multi-model AI integration  
transformers            # Model support
requests                # API communication
pandas                  # Results handling
openai                  # GPT model access
```

### **Environment Variables**

```bash
# Required for HuggingFace models
HF_TOKEN="hf_your_token_here"

# Required for OpenAI models
OPENAI_API_KEY="sk-your_openai_key_here"

# Auto-set in HuggingFace Spaces
SPACE_ID="your_space_id"
SPACE_HOST="your_space_host"
```

## 🌟 **GAIA Optimization Features**

### **Aggressive Response Cleaning**
- **Thinking Process Removal**: Complete elimination of <think> tags
- **Reasoning Extraction**: Removes "Let me think", "First", "Therefore" 
- **Answer Isolation**: Extracts only the final answer value
- **Format Standardization**: Numbers, names, lists only

### **Exact-Match Compliance**
- **No Prefixes**: Removes "The answer is", "Result:", etc.
- **Clean Numbers**: "42" not "42." or "The result is 42"
- **Direct Facts**: "Paris" not "The capital is Paris"
- **Concise Lists**: "red, blue, green" not "The colors are red, blue, and green"

### **API Submission Ready**
- **JSON Format**: Perfect structure for GAIA API
- **Error Handling**: Graceful failures with default responses
- **Validation**: Built-in compliance checking before submission
- **Logging**: Detailed tracking for debugging

## 📈 **Deployment**

### **Local Development**
```bash
python app.py
# Access at http://localhost:7860
```

### **Hugging Face Spaces**
1. Fork this repository
2. Create new Space on Hugging Face
3. Set `HF_TOKEN` and `OPENAI_API_KEY` as repository secrets
4. Deploy automatically with OAuth enabled

### **Production Optimization**
- Multi-model fallback ensures high availability
- Aggressive caching for common questions
- API rate limit management
- Comprehensive error handling

## 🎯 **GAIA Benchmark Ready!**

Your GAIA-optimized multi-agent system is specifically designed for:

- 🎯 **Exact-Match Evaluation** with clean, direct answers
- 🧠 **Multi-Model Intelligence** via DeepSeek-R1 and 9 other models  
- 🛡️ **Reliable Fallback** for 100% question coverage
- 📏 **Perfect Compliance** with GAIA submission requirements
- 🚀 **Production Ready** with comprehensive testing

**Target Achievement**: 30%+ score on GAIA Level 1 questions for course completion

**Next Steps**:
1. Set your `HF_TOKEN` and `OPENAI_API_KEY`
2. Run `python test_gaia.py` to verify compliance
3. Deploy to HuggingFace Spaces
4. Submit to GAIA benchmark! 🚀

**Note**: The system provides reliable fallback responses even without API keys, ensuring baseline functionality for all question types.