Class MultiPromptChain

A class that represents a multi-prompt chain in the LangChain framework. It extends the MultiRouteChain class and provides additional functionality specific to multi-prompt chains.

Example

const multiPromptChain = MultiPromptChain.fromLLMAndPrompts(new ChatOpenAI(), {
promptNames: ["physics", "math", "history"],
promptDescriptions: [
"Good for answering questions about physics",
"Good for answering math questions",
"Good for answering questions about history",
],
promptTemplates: [
`You are a very smart physics professor. Here is a question:\n{input}\n`,
`You are a very good mathematician. Here is a question:\n{input}\n`,
`You are a very smart history professor. Here is a question:\n{input}\n`,
],
});
const result = await multiPromptChain.call({
input: "What is the speed of light?",
});

Hierarchy

Constructors

Properties

destinationChains: {
    [name: string]: BaseChain;
}

Type declaration

routerChain: RouterChain
silentErrors: boolean = false
verbose: boolean

Whether to print out response text.

callbacks?: Callbacks
memory?: BaseMemory
metadata?: Record<string, unknown>
tags?: string[]

Accessors

  • get inputKeys(): string[]
  • Returns string[]

  • get outputKeys(): string[]
  • Returns string[]

Methods

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

    Wraps _call and handles memory.

    Parameters

    Returns Promise<ChainValues>

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

    Parameters

    Returns Promise<ChainValues>

    Promise that resolves with the output of the chain run.

  • Create a new runnable sequence that runs each individual runnable in series, piping the output of one runnable into another runnable or runnable-like.

    Type Parameters

    • NewRunOutput

    Parameters

    • coerceable: RunnableLike<ChainValues, NewRunOutput>

      A runnable, function, or object whose values are functions or runnables.

    Returns RunnableSequence<ChainValues, Exclude<NewRunOutput, Error>>

    A new runnable sequence.

  • Stream all output from a runnable, as reported to the callback system. This includes all inner runs of LLMs, Retrievers, Tools, etc. Output is streamed as Log objects, which include a list of jsonpatch ops that describe how the state of the run has changed in each step, and the final state of the run. The jsonpatch ops can be applied in order to construct state.

    Parameters

    Returns AsyncGenerator<RunLogPatch, any, unknown>

  • Default implementation of transform, which buffers input and then calls stream. Subclasses should override this method if they can start producing output while input is still being generated.

    Parameters

    Returns AsyncGenerator<ChainValues, any, unknown>

  • A static method that creates an instance of MultiPromptChain from a BaseLanguageModel and a set of prompts. It takes in optional parameters for the default chain and additional options.

    Parameters

    Returns MultiPromptChain

    An instance of MultiPromptChain.

Generated using TypeDoc