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https://github.com/Mintplex-Labs/anything-llm
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* fix: surface readable error messages in web-scraping agent and ai-provider * simplify --------- Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
159 lines
5.6 KiB
JavaScript
159 lines
5.6 KiB
JavaScript
const { CollectorApi } = require("../../../collectorApi");
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const Provider = require("../providers/ai-provider");
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const { summarizeContent } = require("../utils/summarize");
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const webScraping = {
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name: "web-scraping",
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startupConfig: {
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params: {},
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},
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plugin: function () {
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return {
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name: this.name,
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setup(aibitat) {
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aibitat.function({
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super: aibitat,
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name: this.name,
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controller: new AbortController(),
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description:
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"Read and extract content from a specific webpage URL. Fetch the text from a website, get the contents of a link, or visit a URL to see what it says. Use when you have a specific web address to read.",
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examples: [
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{
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prompt: "Read that URL for me",
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call: JSON.stringify({ url: "https://example.com" }),
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},
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{
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prompt: "What is anythingllm.com about?",
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call: JSON.stringify({ url: "https://anythingllm.com" }),
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},
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{
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prompt: "Scrape https://example.com",
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call: JSON.stringify({ url: "https://example.com" }),
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},
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],
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parameters: {
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$schema: "http://json-schema.org/draft-07/schema#",
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type: "object",
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properties: {
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url: {
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type: "string",
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format: "uri",
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description:
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"A complete web address URL including protocol. Assumes https if not provided.",
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},
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},
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additionalProperties: false,
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},
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handler: async function ({ url }) {
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try {
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if (url) return await this.scrape(url);
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return "There is nothing we can do. This function call returns no information.";
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} catch (error) {
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const errorMessage = error?.message ?? JSON.stringify(error);
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this.super.handlerProps.log(
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`Web Scraping Error: ${errorMessage}`
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);
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this.super.introspect(
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`${this.caller}: Web Scraping Error: ${errorMessage}`
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);
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return `There was an error while calling the function. No data or response was found. Let the user know this was the error: ${errorMessage}`;
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}
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},
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/**
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* Report a URL citation to be displayed in the chat UI.
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* @param {string} url - The URL that was accessed
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* @param {string} content - The content retrieved from the URL
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*/
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reportUrlCitation: function (url, content) {
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try {
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const urlObj = new URL(url);
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this.super.addCitation?.({
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id: url,
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title: urlObj.hostname + urlObj.pathname,
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text: content,
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chunkSource: `link://${url}`,
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score: null,
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});
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} catch {
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// URL parsing failed, still add citation without parsed title
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this.super.addCitation?.({
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id: url,
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title: url,
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text: content,
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chunkSource: `link://${url}`,
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score: null,
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});
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}
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},
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/**
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* Scrape a website and summarize the content based on objective if the content is too large.
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* Objective is the original objective & task that user give to the agent, url is the url of the website to be scraped.
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* Here we can leverage the document collector to get raw website text quickly.
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*
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* @param url
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* @returns
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*/
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scrape: async function (url) {
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this.super.introspect(
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`${this.caller}: Scraping the content of ${url}`
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);
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const { success, content } =
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await new CollectorApi().getLinkContent(url);
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if (!success) {
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this.super.introspect(
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`${this.caller}: could not scrape ${url}. I can't use this page's content.`
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);
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throw new Error(
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`URL could not be scraped and no content was found.`
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);
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}
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if (!content || content?.length === 0) {
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throw new Error("There was no content to be collected or read.");
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}
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this.reportUrlCitation(url, content);
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const { TokenManager } = require("../../../helpers/tiktoken");
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const tokenEstimate = new TokenManager(
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this.super.model
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).countFromString(content);
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if (
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tokenEstimate <
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Provider.contextLimit(this.super.provider, this.super.model)
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) {
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this.super.introspect(
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`${this.caller}: Looking over the content of the page. ~${tokenEstimate} tokens.`
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);
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return content;
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}
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this.super.introspect(
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`${this.caller}: This page's content exceeds the model's context limit. Summarizing it right now.`
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);
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this.super.onAbort(() => {
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this.super.handlerProps.log(
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"Abort was triggered, exiting summarization early."
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);
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this.controller.abort();
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});
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return summarizeContent({
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provider: this.super.provider,
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model: this.super.model,
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controllerSignal: this.controller.signal,
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content,
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});
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},
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});
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},
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};
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},
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};
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module.exports = {
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webScraping,
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};
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