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LangChain.js supports integration with Gradient AI. Check out Gradient AI for a list of available models.

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Setup

You’ll need to install the official Gradient Node SDK as a peer dependency:
npm
npm i @gradientai/nodejs-sdk
You will need to set the following environment variables for using the Gradient AI API.
  1. GRADIENT_ACCESS_TOKEN
  2. GRADIENT_WORKSPACE_ID
Alternatively, these can be set during the GradientAI Class instantiation as gradientAccessKey and workspaceId respectively. For example: 
const model = new GradientLLM({  gradientAccessKey: "My secret Access Token"  workspaceId: "My secret workspace id" });

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Usage

See this section for general instructions on installing LangChain packages.
npm
npm install @langchain/community @langchain/core 
import { GradientLLM } from "@langchain/community/llms/gradient_ai";  // Note that inferenceParameters are optional const model = new GradientLLM({  modelSlug: "llama2-7b-chat",  inferenceParameters: {  maxGeneratedTokenCount: 20,  temperature: 0,  }, }); const res = await model.invoke(  "What would be a good company name for a company that makes colorful socks?" );  console.log({ res });

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Using your own fine-tuned Adapters

The use your own custom adapter simply set adapterId during setup.
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