# -> {"_type": "foo", "verbose": False, ...}
classmethod from_llm(llm: BaseLanguageModel, prompt: BasePromptTemplate = PromptTemplate(input_variables=['question'], template='Translate a math problem into a expression that can be executed using Python\'s SymPy library. Use the output of running this code to answer the question.\n\nQuestion: ${{Question with math problem.}}\n```text\n${{single line sympy expression that solves the problem}}\n```\n...sympy.sympify(text, evaluate=True)...\n```output\n${{Output of running the code}}\n```\nAnswer: ${{Answer}}\n\nBegin.\n\nQuestion: What is the limit of sin(x) / x as x goes to 0\n```text\nlimit(sin(x)/x, x, 0)\n```\n...sympy.sympify("limit(sin(x)/x, x, 0)")...\n```output\n1\n```\nAnswer: 1\n\nQuestion: What is the integral of e^-x from 0 to infinity\n```text\nintegrate(exp(-x), (x, 0, oo))\n```\n...sympy.sympify("integrate(exp(-x), (x, 0, oo))")...\n```output\n1\n```\n\nQuestion: What are the solutions to this equation x**2 - x?\n```text\nsolveset(x**2 - x, x)\n```\n...sympy.sympify("solveset(x**2 - x, x)")...\n```output\n[0, 1]\n```\nQuestion: {question}\n'), **kwargs: Any) → LLMSymbolicMathChain[source]¶
classmethod from_orm(obj: Any) → Model¶