gpt4all/gpt4all-bindings/typescript

GPT4All Node.js API

Native Node.js LLM bindings for all.

yarn add gpt4all@latest

npm install gpt4all@latest

pnpm install gpt4all@latest

The original GPT4All typescript bindings are now out of date.

• New bindings created by jacoobes, limez and the nomic ai community, for all to use.
• The nodejs api has made strides to mirror the python api. It is not 100% mirrored, but many pieces of the api resemble its python counterpart.
• Everything should work out the box.
• See API Reference

Chat Completion

import { createCompletion, loadModel } from '../src/gpt4all.js'

const model = await loadModel('mistral-7b-openorca.Q4_0.gguf', { verbose: true });

const response = await createCompletion(model, [
    { role : 'system', content: 'You are meant to be annoying and unhelpful.'  },
    { role : 'user', content: 'What is 1 + 1?'  } 
]);

Embedding

import { createEmbedding, loadModel } from '../src/gpt4all.js'

const model = await loadModel('ggml-all-MiniLM-L6-v2-f16', { verbose: true });

const fltArray = createEmbedding(model, "Pain is inevitable, suffering optional");

Build Instructions

• binding.gyp is compile config
• Tested on Ubuntu. Everything seems to work fine
• Tested on Windows. Everything works fine.
• Sparse testing on mac os.
• MingW works as well to build the gpt4all-backend. HOWEVER, this package works only with MSVC built dlls.

Requirements

• git
• node.js >= 18.0.0
• yarn
• node-gyp
  • all of its requirements.
• (unix) gcc version 12
• (win) msvc version 143
  • Can be obtained with visual studio 2022 build tools
• python 3
• On Windows and Linux, building GPT4All requires the complete Vulkan SDK. You may download it from here: https://vulkan.lunarg.com/sdk/home
• macOS users do not need Vulkan, as GPT4All will use Metal instead.

Build (from source)

git clone https://github.com/nomic-ai/gpt4all.git
cd gpt4all-bindings/typescript

• The below shell commands assume the current working directory is typescript.

• To Build and Rebuild:

yarn

• llama.cpp git submodule for gpt4all can be possibly absent. If this is the case, make sure to run in llama.cpp parent directory

git submodule update --init --depth 1 --recursive

yarn build:backend

This will build platform-dependent dynamic libraries, and will be located in runtimes/(platform)/native The only current way to use them is to put them in the current working directory of your application. That is, WHEREVER YOU RUN YOUR NODE APPLICATION

• llama-xxxx.dll is required.
• According to whatever model you are using, you'll need to select the proper model loader.
  • For example, if you running an Mosaic MPT model, you will need to select the mpt-(buildvariant).(dynamiclibrary)

Test

yarn test

Source Overview

src/

• Extra functions to help aid devex
• Typings for the native node addon
• the javascript interface

test/

• simple unit testings for some functions exported.
• more advanced ai testing is not handled

spec/

• Average look and feel of the api
• Should work assuming a model and libraries are installed locally in working directory

index.cc

• The bridge between nodejs and c. Where the bindings are.

prompt.cc

• Handling prompting and inference of models in a threadsafe, asynchronous way.

Known Issues

• why your model may be spewing bull 💩
  • The downloaded model is broken (just reinstall or download from official site)
  • That's it so far

Roadmap

This package is in active development, and breaking changes may happen until the api stabilizes. Here's what's the todo list:

•  ] Purely offline. Per the gui, which can be run completely offline, the bindings should be as well.
  

•  ] NPM bundle size reduction via optionalDependencies strategy (need help)
  *   Should include prebuilds to avoid painful node-gyp errors
  

•  ] createChatSession ( the python equivalent to create\_chat\_session )
  

• x] generateTokens, the new name for createTokenStream. As of 3.2.0, this is released but not 100% tested. Check spec/generator.mjs! 
  

• x] ~~createTokenStream, an async iterator that streams each token emitted from the model. Planning on following this [example](https://github.com/nodejs/node-addon-examples/tree/main/threadsafe-async-iterator)~~ May not implement unless someone else can complete
  

• x] prompt models via a threadsafe function in order to have proper non blocking behavior in nodejs
  

• x] generateTokens is the new name for this^
  

• x] proper unit testing (integrate with circle ci)
  

• x] publish to npm under alpha tag `gpt4all@alpha`
  

• x] have more people test on other platforms (mac tester needed)
  

• x] switch to new pluggable backend
  
  
  

API Reference