agsamantha/node_modules/langchain/dist/chains/summarization/load.js
2024-10-02 15:15:21 -05:00

56 lines
2.1 KiB
JavaScript

import { LLMChain } from "../llm_chain.js";
import { StuffDocumentsChain, MapReduceDocumentsChain, RefineDocumentsChain, } from "../combine_docs_chain.js";
import { DEFAULT_PROMPT } from "./stuff_prompts.js";
import { REFINE_PROMPT } from "./refine_prompts.js";
export const loadSummarizationChain = (llm, params = { type: "map_reduce" }) => {
const { verbose } = params;
if (params.type === "stuff") {
const { prompt = DEFAULT_PROMPT } = params;
const llmChain = new LLMChain({ prompt, llm, verbose });
const chain = new StuffDocumentsChain({
llmChain,
documentVariableName: "text",
verbose,
});
return chain;
}
if (params.type === "map_reduce") {
const { combineMapPrompt = DEFAULT_PROMPT, combinePrompt = DEFAULT_PROMPT, combineLLM, returnIntermediateSteps, } = params;
const llmChain = new LLMChain({ prompt: combineMapPrompt, llm, verbose });
const combineLLMChain = new LLMChain({
prompt: combinePrompt,
llm: combineLLM ?? llm,
verbose,
});
const combineDocumentChain = new StuffDocumentsChain({
llmChain: combineLLMChain,
documentVariableName: "text",
verbose,
});
const chain = new MapReduceDocumentsChain({
llmChain,
combineDocumentChain,
documentVariableName: "text",
returnIntermediateSteps,
verbose,
});
return chain;
}
if (params.type === "refine") {
const { refinePrompt = REFINE_PROMPT, refineLLM, questionPrompt = DEFAULT_PROMPT, } = params;
const llmChain = new LLMChain({ prompt: questionPrompt, llm, verbose });
const refineLLMChain = new LLMChain({
prompt: refinePrompt,
llm: refineLLM ?? llm,
verbose,
});
const chain = new RefineDocumentsChain({
llmChain,
refineLLMChain,
documentVariableName: "text",
verbose,
});
return chain;
}
throw new Error(`Invalid _type: ${params.type}`);
};