Explore the Decentralized Chatbot Landscape with MimirLLM

This tutorial guides you through building a decentralized chatbot using MimirLLM, a peer-to-peer communication library for AI language models. You'll create a system where nodes host and interact with Large Language Models (LLMs) across a decentralized network.

Key Learning Objectives:

• Setting up MimirLLM in Node and Client modes.
• Utilizing the /mimirllm/1.0.0 protocol for peer discovery and LLM communication.
• Integrating OpenAI or custom models like Ollama.

Prerequisites:

• Node.js v22.13.0 (LTS) or later (download from nodejs.org).
• Optional: Ollama or OpenAI API Key (for OpenAI or Ollama model integration).

Step 1: Repository Cloning and Dependency Installation

Clone the MimirLLM repository and install its dependencies:

git clone https://github.com/your-repo/mimirllm.git
cd mimirllm
npm install

This installs libp2p (for peer-to-peer communication) and openai (for OpenAI model interaction).

Step 2: Setting Up an LLM Hosting Node

Configure a node to host an LLM and make it discoverable on the network.

Creating the Node Script (node.ts):

import { createLibp2p } from './createNode';
import libp2pConfig from '../../shared/libp2p';
import { MimirP2PClient } from '../../shared/mimir';

createLibp2p(libp2pConfig).then(async (node) => {
    console.log('Node listening on:');
    node.getMultiaddrs().forEach((ma) => console.log(ma.toString()));

    const mimir = new MimirP2PClient(node, {
        mode: "node",
        openaiConfig: {
            baseUrl: process.env.OLLAMA_ENDPOINT || "https://api.openai.com/v1",
            apiKey: process.env.OPENAI_API_KEY || null
        }
    });
    await mimir.start();
}).catch((e) => {
    console.error(e);
});

Running the Node:

tsx node.ts

The node will begin listening and advertise its hosted LLMs. The output will show its listening address (e.g., /ip4/127.0.0.1/tcp/12345/p2p/QmPeerId).

Step 3: Building an LLM Interaction Client

Create a client to discover and interact with the hosted LLM.

Creating the Client Script (client.ts):

import { createLibp2p } from "libp2p";
import libp2pConfig from "../../shared/libp2p";
import { MimirP2PClient } from "../../shared/mimir";
import { createInterface } from "readline";
import { streamToConsole } from "../utils/stream";

// ... (rest of the client.ts code remains the same)

Running the Client:

tsx client.ts

The client prompts for messages, discovers the node, sends messages, and streams responses.

Step 4: Protocol Overview

MimirLLM uses:

• Discovery Protocol (/mimirllm/1.0.0/identify): For peer discovery and initial communication. Clients query for LLMs; nodes respond with their hosted models.
• LLM Interaction Protocol (/mimirllm/1.0.0): For message exchange. Clients send messages; nodes forward them to the LLM and stream back responses.

Step 5: LLM Customization

MimirLLM supports OpenAI and Ollama. Configure the MimirP2PClient to use your preferred LLM. For Ollama, set the baseUrl to your endpoint; for OpenAI, provide your API key.

Step 6: Future Enhancements

Potential future improvements include robust discovery mechanisms, blockchain integration for incentivizing node participation, and support for additional LLMs.

MimirLLM empowers decentralized AI. Explore its capabilities, contribute to its development, and share your decentralized AI applications. Happy coding! ?

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