Class QAEvalChain

Deprecated

This class will be removed in 0.3.0. Use the LangChain Expression Language (LCEL) instead. See the example below for how to use LCEL with the LLMChain class:

Chain to run queries against LLMs.

Example

import { ChatPromptTemplate } from "@langchain/core/prompts";
import { ChatOpenAI } from "@langchain/openai";

const prompt = ChatPromptTemplate.fromTemplate("Tell me a {adjective} joke");
const llm = new ChatOpenAI();
const chain = prompt.pipe(llm);

const response = await chain.invoke({ adjective: "funny" });

Hierarchy (view full)

Constructors

constructor

Properties

llm outputKey prompt llmKwargs? memory? outputParser?

Accessors

inputKeys outputKeys

Methods

apply call evaluate invoke predict prepOutputs run serialize deserialize fromLlm

Constructors

constructor

Properties

llm

llm: any

LLM Wrapper to use

outputKey

outputKey: string = "text"

Key to use for output, defaults to text

prompt

prompt: BasePromptTemplate

Prompt object to use

OptionalllmKwargs

llmKwargs?: any

Kwargs to pass to LLM

Optionalmemory

memory?: any

OptionaloutputParser

outputParser?: any

OutputParser to use

Accessors

inputKeys

outputKeys

Methods

apply

  • apply(inputs, config?): Promise<ChainValues[]>

  • Parameters

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

    Returns Promise<ChainValues[]>

    Deprecated

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

    Call the chain on all inputs in the list

call

  • call(values, config?): Promise<ChainValues>

  • 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>

evaluate

  • evaluate(examples, predictions, args?): Promise<ChainValues>

  • Parameters

    • examples: ChainValues
    • predictions: ChainValues
    • args: EvaluateArgs = ...

    Returns Promise<ChainValues>

invoke

  • invoke(input, options?): Promise<ChainValues>

  • 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.

predict

  • predict(values, callbackManager?): Promise<string>

  • Format prompt with values and pass to LLM

    Parameters

    • values: any

      keys to pass to prompt template

    • OptionalcallbackManager: any

      CallbackManager to use

    Returns Promise<string>

    Completion from LLM.

    Example

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

prepOutputs

  • prepOutputs(inputs, outputs, returnOnlyOutputs?): Promise<Record<string, unknown>>

  • Parameters

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

    Returns Promise<Record<string, unknown>>

run

  • run(input, config?): Promise<string>

  • Parameters

    • input: any
    • Optionalconfig: any

    Returns Promise<string>

    Deprecated

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

serialize

Staticdeserialize

StaticfromLlm

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