ForumAI SDK

This is the Typescript implementation of ForumAI SDK

Setup and usage

Installation

This SDK is available on npm registry, so you can easily install it using npm, yarn or any other package manager tool

npm install forumaisdk

Usage

• With cjs

const forumaisdk = require('forumaisdk');
const ModelMarket = forumaisdk.ModelMarket;

• With esm

import { ModelMarket } from 'forumaisdk';

There is two modes of using the SDK to interact with the ForumAI LLM node:

1. No response streaming

   With this mode you will get response of your chat at once. Sample code looks like bellow

   const privateKey = process.env.PRIVATE_KEY;
   if (!privateKey) {
     throw new Error('Private key is not provided via env PRIVATE_KEY');
   }
   const model = new ModelMarket.Mixtral8x7BModelMarketTestnet(privateKey);
   const chat = [{ role: 'system', content: 'You are a helpful assistant!' }];
      
   while (true) {
     const prompt = await askQuestion('[INFO] Enter your prompt: ');
     if (['q', 'quit', 'exit'].includes(prompt)) {
       console.log('[INFO] Chat finished');
       break;
     }
     chat.push({ role: 'user', content: prompt });
     console.log('[INFO] Wait for response ...');
     const resp = await model.generate(3000, chat);
     console.log('[INFO] Response:\n', resp);
     chat.push({ role: 'assistant', content: resp });
   }

   Full sample code you can found here simple-chat

2. Response streaming

   With this mode you will get response of your chat in stream. Sample code looks like bellow

   const privateKey = process.env.PRIVATE_KEY;
   if (!privateKey) {
     throw new Error('Private key is not provided via env PRIVATE_KEY');
   }
   const model = new ModelMarket.Mixtral8x7BModelMarketTestnet(privateKey);
   const chat = [{ role: 'system', content: 'You are a helpful assistant!' }];
      
   while (true) {
     const prompt = await askQuestion('[INFO] Enter your prompt: ');
     if (['q', 'quit', 'exit'].includes(prompt)) {
       console.log('[INFO] Chat finished');
       break;
     }
     chat.push({ role: 'user', content: prompt });
     console.log('[INFO] Wait for response ...');
      
     const [node_url, result_code] = await model.generateSelfRequesting(3000, chat);
     let full_resp = '';
     let done = false;
     console.log('[INFO] Response:\n');
     while (!done) {
       const [resp, _done] = await model.getNextOutput(node_url, result_code, full_resp);
       full_resp += resp;
       done = _done;
       logWithoutEndLine(resp);
       await sleep(100);
     }
     logWithoutEndLine('\n');
     chat.push({ role: 'assistant', content: full_resp });
   }

   Full sample code you can found here streamed-chat