langchain.js
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    Class LabeledPairwiseStringEvalChain

    A chain for comparing two outputs, such as the outputs of two models, prompts, or outputs of a single model on similar inputs, with labeled preferences.

    Hierarchy (View Summary)

    Index

    Constructors

    Properties

    criterionName?: string
    evaluationName?: string = ...

    The name of the evaluation.

    lc_serializable: boolean = true
    llm: BaseLanguageModelInterface

    LLM Wrapper to use

    llmKwargs?: any

    Kwargs to pass to LLM

    memory?: any
    outputKey: string = "text"

    Key to use for output, defaults to text

    prompt: BasePromptTemplate

    Prompt object to use

    requiresInput: boolean = true
    requiresReference: boolean = true
    skipInputWarning?: string = ...
    skipReferenceWarning: string = ...

    Accessors

    • get inputKeys(): any

      Returns any

    • get lc_namespace(): string[]

      Returns string[]

    • get outputKeys(): string[]

      Returns string[]

    Methods

    • Return the string type key uniquely identifying this class of chain.

      Returns "llm"

    • Evaluate the output string pairs.

      Parameters

      • args: LLMPairwiseStringEvaluatorArgs
      • callOptions: unknown
      • Optionalconfig: any

      Returns Promise<ChainValues>

      A dictionary containing the preference, scores, and/or other information.

    • Parameters

      • values: any

      Returns Promise<any>

    • Parameters

      • text: string

      Returns Promise<number>

    • Parameters

      • result: ChainValues

      Returns ChainValues

    • Parameters

      • inputs: ChainValues[]
      • Optionalconfig: any[]

      Returns Promise<ChainValues[]>

      Use .batch() instead. Will be removed in 0.2.0.

      Call the chain on all inputs in the list

    • Run the core logic of this chain and add to output if desired.

      Wraps _call and handles memory.

      Parameters

      • values: any
      • Optionalconfig: any

      Returns Promise<ChainValues>

    • Check if the evaluation arguments are valid.

      Parameters

      • Optionalreference: string

        The reference label.

      • Optionalinput: string

        The input string.

      Returns void

      If the evaluator requires an input string but none is provided, or if the evaluator requires a reference label but none is provided.

    • Evaluate the output string pairs.

      Parameters

      • args: LLMPairwiseStringEvaluatorArgs
      • OptionalcallOptions: unknown
      • Optionalconfig: any

      Returns Promise<ChainValues>

      A dictionary containing the preference, scores, and/or other information.

    • Invoke the chain with the provided input and returns the output.

      Parameters

      • input: ChainValues

        Input values for the chain run.

      • Optionaloptions: any

      Returns Promise<ChainValues>

      Promise that resolves with the output of the chain run.

    • Format prompt with values and pass to LLM

      Parameters

      • values: any

        keys to pass to prompt template

      • OptionalcallbackManager: any

        CallbackManager to use

      Returns Promise<EvalOutputType>

      Completion from LLM.

      llm.predict({ adjective: "funny" })
      
    • Parameters

      • inputs: Record<string, unknown>
      • outputs: Record<string, unknown>
      • returnOnlyOutputs: boolean = false

      Returns Promise<Record<string, unknown>>

    • Parameters

      • input: any
      • Optionalconfig: any

      Returns Promise<string>

      Use .invoke() instead. Will be removed in 0.2.0.

    • Create a new instance of the PairwiseStringEvalChain.

      Parameters

      • llm: BaseLanguageModelInterface
      • Optionalcriteria: CriteriaLike

        The criteria to use for evaluation.

      • OptionalchainOptions: Partial<
            Omit<
                LLMEvalChainInput<EvalOutputType, BaseLanguageModelInterface>,
                "llm",
            >,
        >

        Options to pass to the chain.

      Returns Promise<PairwiseStringEvalChain>

    • Returns string

    • Parameters

      • Optionalprompt: any

      Returns any