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from transformers import Tool
from sympy import symbols, Eq, solve, simplify, diff, integrate, sympify
class SolveEquationTool(Tool):
name = "solve_equation"
description = "Solves a basic equation for x. Format: '2*x + 3 = 7'"
def __call__(self, equation: str) -> str:
x = symbols('x')
try:
lhs, rhs = equation.split("=")
eq = Eq(sympify(lhs), sympify(rhs))
sol = solve(eq, x)
return f"x = {sol}"
except Exception as e:
return f"Error solving equation: {str(e)}"
class ExplainSolutionTool(Tool):
name = "explain_solution"
description = "Explains the steps to solve a math problem."
def __call__(self, problem: str) -> str:
# Minimalist inline explanation; in a real agent, call an LLM
if "2*x + 3 = 7" in problem:
return "Step 1: Subtract 3 from both sides → 2x = 4\nStep 2: Divide both sides by 2 → x = 2"
return "This agent only explains '2*x + 3 = 7' as a hardcoded example. Extend me with an LLM!"
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