fxn-llm.mp4
Use local LLMs in your browser and Node.js apps. This package is designed to patch OpenAI and Anthropic clients for running inference locally, using predictors hosted on Function.
Tip
We offer a similar package for use in Python. Check out fxn-llm.
Important
This package is still a work-in-progress, so the API could change drastically between all releases.
Caution
Never embed access keys client-side (i.e. in the browser). Instead, create a proxy URL in your backend.
Function LLM is distributed on NPM. Open a terminal and run the following command:
# Run this in Terminal
$ npm install fxn-llmImportant
Make sure to create an access key by signing onto Function. You'll need it to fetch the predictor at runtime.
To run text generation and embedding models locally using the OpenAI client, patch your OpenAI instance with the locally function:
import { locally } from "fxn-llm"
import { OpenAI } from "openai"
// 💥 Create your OpenAI client
let openai = new OpenAI({ apiKey: "fxn", dangerouslyAllowBrowser: true });
// 🔥 Make it local
openai = locally(openai, {
accessKey: process.env.NEXT_PUBLIC_FXN_ACCESS_KEY
});
// 🚀 Generate embeddings
const embeddings = openai.embeddings.create({
model: "@nomic/nomic-embed-text-v1.5-quant",
input: "search_query: Hello world!"
});Warning
Currently, only openai.embeddings.create is supported. Text generation is coming soon!
- Discover predictors to use in your apps.
- Join our Discord community.
- Check out our docs.
- Learn more about us on our blog.
- Reach out to us at hi@fxn.ai.
Function is a product of NatML Inc.