The Laravel LangChain Chat project provides a simple and elegant way to integrate OpenAI's language models into your Laravel application using the LangChain JavaScript library and the Laravel JS Connector package. This allows you to create engaging and interactive AI-powered chat applications.

Clone the project repository:

git clone https://github.com/user/laravel-langchain-chat

cd laravel-langchain-chat

Install the PHP dependencies:

composer install

Install the JavaScript dependencies:

npm install

Setup your environment file by copying the provided example:

cp .env.example .env

Then, update the JS_CONNECTOR_API_URL and OPENAI_API_KEY with the correct values.

php artisan key:generate

composer require amohamed/jsconnector

php artisan vendor:publish --provider="Amohamed\JSConnector\JSConnectorServiceProvider" --tag="config"

Start the Node.js server:

php artisan jsconnector:serve

Visit your application in a web browser.

Code Example Here's how the Laravel application communicates with the LangChain JS service:

<?php

namespace App\Http\Controllers;

use Illuminate\Http\Request;
use Amohamed\JSConnector\Facades\JSConnector;

class LangChainController extends Controller
{
    public function chat(Request $request)
    {
        $input = $request->input('message');

        // We use the post method on the JSConnector facade
        $response = JSConnector::post('chat', ['input' => $input]);

        // Then we return the response from the langchainjs service
        return response()->json(['response' => $response]);
    }
}

And here's how the Node.js server processes incoming requests:

const { OpenAI } = require('langchain/llms/openai');
const { BufferMemory } = require('langchain/memory');
const { ConversationChain } = require('langchain/chains');
const cors = require('cors');
const express = require('express');

const model = new OpenAI({ key: process.env.OPENAI_API_KEY });
const memory = new BufferMemory();
const chain = new ConversationChain({ llm: model, memory: memory });

const app = express();
app.use(cors());
app.use(express.json());

app.post('/chat', async (req, res) => {
    const result = await chain.call({ input: req.body.input });
    res.send(result);
});

app.listen(3000, () => {
    console.log('LangChain server running on port 3000');
});

Run the tests with:

vendor/bin/phpunit

The Laravel LangChain Chat project is open-sourced software licensed under the MIT license.

Please make sure to update the examples and command instructions based on your actual codebase and project structure.