llm : BaseLanguageModel
        The language model to use for evaluation.
    criteria : Union[Mapping[str, str]]
        The criteria or rubric to evaluate the runs against. It can be a mapping of
        criterion name to its description, or a single criterion name.
    prompt : Optional[BasePromptTemplate], default=None
        The prompt template to use for generating prompts. If not provided, a
        default prompt template will be used based on the value of
        `requires_reference`.
    requires_reference : bool, default=False
        Whether the evaluation requires a reference text. If `True`, the
        `PROMPT_WITH_REFERENCES` template will be used, which includes the
        reference labels in the prompt. Otherwise, the `PROMPT` template will be
        used, which is a reference-free prompt.
    **kwargs : Any
        Additional keyword arguments to pass to the `LLMChain` constructor.
    Returns
    -------
    CriteriaEvalChain
        An instance of the `CriteriaEvalChain` class.
    Examples
    --------
    >>> from langchain.chat_models import ChatAnthropic
    >>> from langchain.evaluation.criteria import CriteriaEvalChain
    >>> llm = ChatAnthropic(temperature=0)
    >>> criteria = {"my-custom-criterion": "Is the submission the most amazing ever?"}
    >>> evaluator = CriteriaEvalChain.from_llm(llm=llm, criteria=criteria)
    >>> evaluator.evaluate_strings(prediction="Imagine an ice cream flavor for the color aquamarine", input="Tell me an idea")
    {