agsamantha/node_modules/langchain/dist/chains/router/multi_prompt.d.ts

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2024-10-02 15:15:21 -05:00
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import { PromptTemplate } from "@langchain/core/prompts";
import { MultiRouteChain, MultiRouteChainInput } from "./multi_route.js";
import { BaseChain } from "../../chains/base.js";
import { LLMChainInput } from "../../chains/llm_chain.js";
/**
* 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
* ```typescript
* 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?",
* });
* ```
*/
export declare class MultiPromptChain extends MultiRouteChain {
/**
* @deprecated Use `fromLLMAndPrompts` instead
*/
static fromPrompts(llm: BaseLanguageModelInterface, promptNames: string[], promptDescriptions: string[], promptTemplates: string[] | PromptTemplate[], defaultChain?: BaseChain, options?: Omit<MultiRouteChainInput, "defaultChain">): MultiPromptChain;
/**
* 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.
* @param llm A BaseLanguageModel instance.
* @param promptNames An array of prompt names.
* @param promptDescriptions An array of prompt descriptions.
* @param promptTemplates An array of prompt templates.
* @param defaultChain An optional BaseChain instance to be used as the default chain.
* @param llmChainOpts Optional parameters for the LLMChainInput, excluding 'llm' and 'prompt'.
* @param conversationChainOpts Optional parameters for the LLMChainInput, excluding 'llm' and 'outputKey'.
* @param multiRouteChainOpts Optional parameters for the MultiRouteChainInput, excluding 'defaultChain'.
* @returns An instance of MultiPromptChain.
*/
static fromLLMAndPrompts(llm: BaseLanguageModelInterface, { promptNames, promptDescriptions, promptTemplates, defaultChain, llmChainOpts, conversationChainOpts, multiRouteChainOpts, }: {
promptNames: string[];
promptDescriptions: string[];
promptTemplates: string[] | PromptTemplate[];
defaultChain?: BaseChain;
llmChainOpts?: Omit<LLMChainInput, "llm" | "prompt">;
conversationChainOpts?: Omit<LLMChainInput, "llm" | "outputKey">;
multiRouteChainOpts?: Omit<MultiRouteChainInput, "defaultChain">;
}): MultiPromptChain;
_chainType(): string;
}