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https://github.com/rafalzawadzki/spellbook-forge

✨ Make your LLM prompts executable and version controlled. ✨
https://github.com/rafalzawadzki/spellbook-forge

ai chatgpt chatgpt-api chatgpt-app chatgpt3 express express-middleware expressjs gpt gpt-2 gpt-3 gpt-4 gpt4 gpt4-api langchain langchain-typescript openai openai-api vcs

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✨ Make your LLM prompts executable and version controlled. ✨

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README 

        
# 🪄📙🔨 Spellbook Forge

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchainai.svg?style=social&label=Follow%20%40SpellHQ)](https://twitter.com/spellhq) [![](https://dcbadge.vercel.app/api/server/R2nTZPGf?compact=true&style=flat)](https://discord.gg/R2nTZPGf)



✨ Make your LLM prompts executable and version controlled. ✨



## Quick Start



In your Express server:



`yarn add spellbook-forge`



```typescript

import { spellbookForge } from "spellbook-forge";



const app = express()

  .use(spellbookForge({

    gitHost: 'https://github.com'

  }))

```



and then:



```

GET http://localhost:3000/your/repository/prompt?execute



<-- HTTP 200

{

  "prompt-content": "Complete this phrase in coders’ language: Hello …",

  "model": "gpt3.5",

  "result": "Hello, World!"

}

```

See [live examples](#-try-it) to try it out!



## 🤔 What is this?



This is an [ExpressJS](https://expressjs.com) middleware that allows you to create an API interface for your LLM prompts. 

It will automatically generate a server for your prompts stored in a git repository. Using Spellbook, you can:

- Store & manage LLM prompts in a familiar tool: a git repository

- Execute prompts with chosen model and get results using a simple API

- Plug into LangChain templating system

- Perform basic CRUD operations on prompts



> 💡 **Note:** It's an early version. Expect bugs, breaking changes and poor performance.



## 🚀 Try it



> This prompt repository: https://github.com/rafalzawadzki/spellbook-prompts/hello-world

> 

> Can be executed like this: https://book.spell.so/rafalzawadzki/spellbook-prompts/hello-world?execute



➡️ Spellbook server: https://book.spell.so 



The server uses `spellbook-forge` and is currently hooked up to Github as a git host. You can use any public repository with prompts in it (as long as they adhere to [the accepted format](#-documentation)).



For example, using a repository [rafalzawadzki/spellbook-prompts](https://github.com/rafalzawadzki/spellbook-prompts), you can form an endpoint ([and many more](#api)):



https://book.spell.so/rafalzawadzki/spellbook-prompts/hello-world



## 📖 Documentation



> 💡 Full documentation coming soon!



### OpenAI key

If you want to use the `execute` query on your own spellbook-forge instance, you need to provide an OpenAI API key in .env file or env variables:

```md

OPENAI_API_KEY=your-key

```



### Main dependencies

   1. [🦜🔗 LangChain.js](https://js.langchain.com)

   2. [simple-git](https://github.com/steveukx/git-js)



### Prompt format

Prompt files must adhere to a specific format (JSON/YAML). See examples here [here](https://github.com/rafalzawadzki/spellbook-prompts).



#### Example



```jsx

├── prompt1

│   ├── prompt.json

│   └── readme.md

└── collection

    └── prompt2

        ├── prompt.yaml

        └── readme.md

```



The above file structure will result in the following API endpoints being generated:



`{host}/prompt1`



`{host}/collection/prompt2`



#### Files

1. `prompt.json` the main file with the prompt content and configuration.

2. `readme.md` additional information about prompt usage, examples etc.



### API



#### CRUD



- `GET` `{host}/path/to/prompt` - get prompt content



- `POST` `{host}/path/to/prompt` - upsert prompt content



- `DELETE` `{host}/path/to/prompt` - delete prompt (along with readme and metadata!)



#### Execution



- `GET` `{host}/path/to/prompt?execute` - for simple prompts without templating



- `POST` `{host}/path/to/prompt?execute` - for prompts with templating (recommended)



```

// request body

{

  "variables": [

    "name": "World"

  ]

}

```



- `GET` `{host}/path/to/prompt?execute=gpt4` - with different model (not implemented yet)



### Using with LangChain



You can fetch the prompt content and execute it using LangChain:



```js

import { PromptTemplate } from "langchain/prompts";



export const run = async () => {

  const template = await fetch(

          "https://book.spell.so/rafalzawadzki/spellbook-prompts/hello-world"

  ).then((res) => res.text());

  const prompt = new PromptTemplate({template, inputVariables: ["product"]})

  // do something with the prompt ...

}

```



The presented solution ofc makes sense mostly in chaining, for simple prompts it's best to just use Spellbook directly!



In the future I may contribute to extend the [LangChain `prompt/load`](https://js.langchain.com/docs/api/modules/prompts_load) function to support loading prompts from Spellbook, eg:



```js

import { loadPrompt } from "langchain/prompts/load";

const prompt = await loadPrompt("{spellbook-host}/hello-world/prompt");

```



## ☑️ Todo

- [ ] Documentation

  - [ ] OpenAI API key

  - [x] Generated API

  - [ ] Templating

  - [x] Using with LangChain

  - [ ] Prompt format

  - [ ] Available models

- [ ] Add missing functionality

  - [ ] `POST /prompt?execute` with body

  - [ ] Support for different models, eg. `execute=gpt4`

  - [ ] Graceful error handling

  - [ ] Response formatting