Powered by LangChain LangChain.js now supports calling JigsawStack Prompt Engine and more through the JigsawStack Tool. The JigsawStack Tool provides your agent with several capabilities:
  • JigsawStack Prompt Engine: Use JigsawStack’s advanced prompt engine to interact with large language models.
  • JigsawStackAIScrape: Scrape web content with AI-powered precision.
  • JigsawStackAISearch: Perform AI-powered web searches for high-quality results.
  • JigsawStackSpeechToText: Transcribe audio or video using the powerful large V3 Whisper model.
  • JigsawStackVOCR: Recognize and extract data from images via AI prompts.
  • JigsawStackTextToSQL: Generate SQL queries from natural language text.

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Setup

  1. Set up an account: Get started for free
  2. Create and retrieve your API key:
export JIGSAWSTACK_API_KEY="your-api-key"

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Installation

Install the JigsawStack integration package for your project: 
# npm
npm install @langchain/jigsawstack

# Yarn
yarn add @langchain/jigsawstack

# pnpm
pnpm add @langchain/jigsawstack

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Usage: Standalone

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Example 1: Using the JigsawStack Prompt Engine

import { JigsawStackPromptEngine } from "@langchain/jigsawstack";

export const run = async () => {
  const model = new JigsawStackPromptEngine();
  const res = await model.invoke(
    "Tell me about the leaning tower of pisa?\nAnswer:",
  );
  console.log({ res });
};

​
Example 2: Using Other JigsawStack Tools

import {
  JigsawStackAIScrape,
  JigsawStackAISearch,
  JigsawStackSpeechToText,
  JigsawStackVOCR,
  JigsawStackTextToSQL,
} from "@langchain/jigsawstack";

// Example of AI Scrape Tool
const aiScrapeTool = new JigsawStackAIScrape({
  params: {
    element_prompts: ["Pro plan"],
  },
});
const scrapeResult = await aiScrapeTool.invoke(
  "https://jigsawstack.com/pricing",
);
console.log({ scrapeResult });

// Example of AI Search Tool
const aiSearchTool = new JigsawStackAISearch();
const searchResult = await aiSearchTool.invoke("The leaning tower of Pisa");
console.log({ searchResult });

// Example of VOCR Tool
const vocrTool = new JigsawStackVOCR({
  params: {
    prompt: "Describe the image in detail",
  },
});
const vocrResult = await vocrTool.invoke("https://link-to-image.jpg");
console.log({ vocrResult });

// Example of Speech-to-Text Tool
const sttTool = new JigsawStackSpeechToText();
await sttTool.invoke("https://link-to-video.mp4");

// Example of Text-to-SQL Tool
const sqlTool = new JigsawStackTextToSQL({
  params: {
    sql_schema:
      "CREATE TABLE Transactions (transaction_id INT PRIMARY KEY, user_id INT NOT NULL, ... )",
  },
});
const sqlResult = await sqlTool.invoke(
  "Generate a query to get transactions exceeding $10,000.",
);
console.log({ sqlResult });

​
Usage: In an Agent

import { ChatOpenAI } from "@langchain/openai";
import { initializeAgentExecutorWithOptions } from "langchain/agents";
import {
  JigsawStackAIScrape,
  JigsawStackAISearch,
  JigsawStackVOCR,
  JigsawStackSpeechToText,
  JigsawStackTextToSQL,
} from "@langchain/jigsawstack";

const model = new ChatOpenAI({ temperature: 0 });

// Add the necessary tools
const tools = [
  new JigsawStackAIScrape(),
  new JigsawStackAISearch(),
  new JigsawStackVOCR(),
  new JigsawStackSpeechToText(),
  new JigsawStackTextToSQL(),
];

const executor = await initializeAgentExecutorWithOptions(tools, model, {
  agentType: "zero-shot-react-description",
  verbose: true,
});

const res = await executor.invoke({
  input: "Kokkalo Restaurant Santorini",
});

console.log(res.output);
For more details, visit the LangChain documentation.