> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Jigsawstack prompt engine integration

> Integrate with the Jigsawstack prompt engine LLM using LangChain JavaScript.

LangChain.js supports calling JigsawStack [Prompt Engine](https://docs.jigsawstack.com/api-reference/prompt-engine/run-direct) LLMs.

## Setup

* Set up an [account](https://jigsawstack.com/dashboard) (Get started for free)
* Create and retrieve your [API key](https://jigsawstack.com/dashboard)

## Credentials

```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
export JIGSAWSTACK_API_KEY="your-api-key"
```

## Usage

<Tip>
  See [this section for general instructions on installing LangChain packages](/oss/javascript/langchain/install).
</Tip>

```bash npm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
npm install @langchain/jigsawstack
```

```ts theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
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 });
};
```

## Related

* [Models guide](/oss/javascript/langchain/models)

***

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