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Refactor agent structure by modularizing agent implementations into separate directories for web, data analysis, and media agents. Remove legacy code from agents.py, prompts.py, and tools.py, enhancing maintainability. Update main_v2.py to reflect new import paths and agent initialization. Add new tools for enhanced functionality, including web searching and data extraction. Update requirements.txt to include necessary dependencies for new tools.
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| from typing import Dict, Any | |
| import math | |
| from smolagents import tool | |
| def perform_calculation(expression: str) -> Dict[str, Any]: | |
| """ | |
| Safely evaluate a mathematical expression. | |
| Args: | |
| expression: Mathematical expression to evaluate | |
| Returns: | |
| Dictionary containing the result or error message | |
| """ | |
| try: | |
| # Define allowed names | |
| allowed_names = { | |
| "abs": abs, | |
| "round": round, | |
| "min": min, | |
| "max": max, | |
| "sum": sum, | |
| "len": len, | |
| "pow": pow, | |
| "math": math, | |
| } | |
| # Clean the expression | |
| cleaned_expr = expression.strip() | |
| # Evaluate using safer methods (this is still a simplified example) | |
| # In a real implementation, use a proper math expression parser | |
| result = eval(cleaned_expr, {"__builtins__": {}}, allowed_names) | |
| return {"result": result} | |
| except Exception as e: | |
| return {"error": str(e)} |