langchain/model_laboratory.py/ModelLaboratory/from_llms
class ModelLaboratory:    def from_llms(
        cls, llms: List[BaseLLM], prompt: Optional[PromptTemplate] = None
    ) -> ModelLaboratory:
        """Initialize with LLMs to experiment with and optional prompt.

        Args:
            llms: list of LLMs to experiment with
            prompt: Optional prompt to use to prompt the LLMs. Defaults to None.
                If a prompt was provided, it should only have one input variable.
        """
        if prompt is None:
            prompt = PromptTemplate(input_variables=["_input"], template="{_input}")
        chains = [LLMChain(llm=llm, prompt=prompt) for llm in llms]
        names = [str(llm) for llm in llms]
        return cls(chains, names=names)