smolagents_bridge.py

#!/usr/bin/env python3
"""
🚀 SmoLAgents Bridge for GAIA System
Integrates smolagents framework with our existing tools for 60+ point performance boost
"""

import os
import logging
from typing import Optional

# Try to import smolagents
try:
    from smolagents import CodeAgent, InferenceClientModel, tool, DuckDuckGoSearchTool
    from smolagents.tools import VisitWebpageTool
    SMOLAGENTS_AVAILABLE = True
except ImportError:
    SMOLAGENTS_AVAILABLE = False
    CodeAgent = None
    tool = None

# Import our existing system
from gaia_system import BasicAgent as FallbackAgent, UniversalMultimodalToolkit

logger = logging.getLogger(__name__)

class SmoLAgentsEnhancedAgent:
    """🚀 Enhanced GAIA agent powered by SmoLAgents framework"""
    
    def __init__(self, hf_token: str = None, openai_key: str = None):
        self.hf_token = hf_token or os.getenv('HF_TOKEN')
        self.openai_key = openai_key or os.getenv('OPENAI_API_KEY')
        
        if not SMOLAGENTS_AVAILABLE:
            print("⚠️ SmoLAgents not available, using fallback system")
            self.agent = FallbackAgent(hf_token, openai_key)
            self.use_smolagents = False
            return
        
        self.use_smolagents = True
        self.toolkit = UniversalMultimodalToolkit(self.hf_token, self.openai_key)
        
        # Create model with our priority system
        self.model = self._create_priority_model()
        
        # Create CodeAgent with our tools
        self.agent = self._create_code_agent()
        
        print("✅ SmoLAgents GAIA System initialized")
    
    def _create_priority_model(self):
        """Create model with Qwen3-235B-A22B priority"""
        try:
            # Priority 1: Qwen3-235B-A22B (Best for GAIA)
            return InferenceClientModel(
                provider="fireworks-ai",
                api_key=self.hf_token,
                model="Qwen/Qwen3-235B-A22B"
            )
        except:
            try:
                # Priority 2: DeepSeek-R1
                return InferenceClientModel(
                    model="deepseek-ai/DeepSeek-R1",
                    token=self.hf_token
                )
            except:
                # Fallback
                return InferenceClientModel(
                    model="meta-llama/Llama-3.1-8B-Instruct",
                    token=self.hf_token
                )
    
    def _create_code_agent(self):
        """Create CodeAgent with essential tools"""
        # Create our custom tools
        calculator_tool = self._create_calculator_tool()
        image_tool = self._create_image_analysis_tool()
        download_tool = self._create_file_download_tool()
        pdf_tool = self._create_pdf_tool()
        
        tools = [
            DuckDuckGoSearchTool(),
            VisitWebpageTool(),
            calculator_tool,
            image_tool,
            download_tool,
            pdf_tool,
        ]
        
        return CodeAgent(
            tools=tools,
            model=self.model,
            system_prompt=self._get_gaia_prompt(),
            max_steps=3,
            verbosity=0
        )
    
    def _get_gaia_prompt(self):
        """GAIA-optimized system prompt"""
        return """You are a GAIA benchmark expert. Use tools to solve questions step-by-step.

CRITICAL: Provide ONLY the final answer - no explanations.
Format: number OR few words OR comma-separated list
No units unless specified. No articles for strings.

Available tools:
- DuckDuckGoSearchTool: Search the web
- VisitWebpageTool: Visit URLs
- calculator: Mathematical calculations
- analyze_image: Analyze images
- download_file: Download GAIA files
- read_pdf: Extract PDF text"""
    
    def _create_calculator_tool(self):
        """🧮 Mathematical calculations"""
        @tool
        def calculator(expression: str) -> str:
            """Perform mathematical calculations
            
            Args:
                expression: Mathematical expression to evaluate
            """
            return self.toolkit.calculator(expression)
        return calculator
    
    def _create_image_analysis_tool(self):
        """🖼️ Image analysis"""
        @tool
        def analyze_image(image_path: str, question: str = "") -> str:
            """Analyze images and answer questions
            
            Args:
                image_path: Path to image file
                question: Question about the image
            """
            return self.toolkit.analyze_image(image_path, question)
        return analyze_image
    
    def _create_file_download_tool(self):
        """📥 File downloads"""
        @tool
        def download_file(url: str = "", task_id: str = "") -> str:
            """Download files from URLs or GAIA tasks
            
            Args:
                url: URL to download from  
                task_id: GAIA task ID
            """
            return self.toolkit.download_file(url, task_id)
        return download_file
    
    def _create_pdf_tool(self):
        """📄 PDF reading"""
        @tool
        def read_pdf(file_path: str) -> str:
            """Extract text from PDF documents
            
            Args:
                file_path: Path to PDF file
            """
            return self.toolkit.read_pdf(file_path)
        return read_pdf
    
    def query(self, question: str) -> str:
        """Process question with SmoLAgents or fallback"""
        if not self.use_smolagents:
            return self.agent.query(question)
        
        try:
            print(f"🚀 Processing with SmoLAgents: {question[:80]}...")
            response = self.agent.run(question)
            cleaned = self._clean_response(response)
            print(f"✅ SmoLAgents result: {cleaned}")
            return cleaned
        except Exception as e:
            print(f"⚠️ SmoLAgents error: {e}, falling back to original system")
            # Fallback to original system
            fallback = FallbackAgent(self.hf_token, self.openai_key)
            return fallback.query(question)
    
    def _clean_response(self, response: str) -> str:
        """Clean response for GAIA compliance"""
        if not response:
            return "Unable to provide answer"
        
        response = response.strip()
        
        # Remove common prefixes
        prefixes = ["the answer is:", "answer:", "result:", "final answer:", "solution:"]
        response_lower = response.lower()
        for prefix in prefixes:
            if response_lower.startswith(prefix):
                response = response[len(prefix):].strip()
                break
        
        return response.rstrip('.')
    
    def clean_for_api_submission(self, response: str) -> str:
        """Clean response for GAIA API submission (compatibility method)"""
        return self._clean_response(response)
    
    def __call__(self, question: str) -> str:
        """Make agent callable"""
        return self.query(question)
    
    def cleanup(self):
        """Clean up resources"""
        if hasattr(self.toolkit, 'cleanup'):
            self.toolkit.cleanup()


def create_enhanced_agent(hf_token: str = None, openai_key: str = None) -> SmoLAgentsEnhancedAgent:
    """Factory function for enhanced agent"""
    return SmoLAgentsEnhancedAgent(hf_token, openai_key)


if __name__ == "__main__":
    # Quick test
    print("🧪 Testing SmoLAgents Bridge...")
    agent = SmoLAgentsEnhancedAgent()
    
    test_questions = [
        "What is 5 + 3?",
        "What is the capital of France?",
        "How many sides does a triangle have?"
    ]
    
    for q in test_questions:
        print(f"\nQ: {q}")
        print(f"A: {agent.query(q)}")
    
    print("\n✅ Bridge test completed!")