LuminaAI Framework Overview

LuminaAI Framework

LumiaAI is an innovative all-in-one aggregated AI assistant front-end framework that revolutionizes how we interact with multiple AI models. Built with modern web technologies, it provides a seamless interface for integrating and managing various AI models in a single, unified platform.


Browser plugins

LumiaAI Plugins Overview
* **UEnable Developer Mode**: Open Chrome, go to chrome://extensions/, and toggle "Developer mode" on. * **ULoad Extension**: Click "Load unpacked" and select the folder containing your extension's files (e.g., manifest.json). * **UTest**: The extension should appear in the extensions list and be ready for use.
## Core Features * **Unified Interface**: Single interface to interact with multiple AI models simultaneously * **Model Aggregation**: Support for ChatGPT, Claude, Deepseek, and custom models * **Parallel Processing**: Handle multiple queries across different models concurrently * **Smart Routing**: Intelligent request distribution based on model capabilities * **Extensible Architecture**: Easy integration of new models and APIs
## Technical Advantages * **Modular Design**: Each component is independent and easily customizable * **Stream Processing**: Real-time streaming responses with markdown support * **Error Handling**: Robust retry mechanism and fallback options * **Responsive UI**: Adaptive layout for all device sizes ## Implementation Guide Getting started with LumiaAI is straightforward: ```javascript // Initialize LumiaAI with your configuration const config = { API_URL: 'your_api_endpoint', API_KEY: 'your_api_key', MAX_RETRIES: 3, RETRY_DELAY: 1000, DEFAULT_SYSTEM_MESSAGE: 'Your system prompt' }; ``` ## Model Integration Add new models to the framework by extending the models object: ```javascript const models = { customModel: { id: "custom-messages", model: "your-model-identifier", name: "Custom Model", avatar: "./path/to/avatar.png" } }; ``` ## Local Model Integration To integrate local models: 1. **Setup Local Environment**: ```bash # Install required dependencies npm install express cors ``` 2. **Create Model Endpoint**: ```javascript const express = require('express'); const app = express(); app.post('/v1/chat/completions', async (req, res) => { const { messages, model } = req.body; // Connect to your local model const response = await yourLocalModel.generate(messages); res.json(response); }); ``` ## API Integration For third-party API integration: 1. **Configure API Settings**: ```javascript const modelConfig = { endpoint: 'https://api.openai.com/v1/chat', headers: { 'Authorization': 'Bearer your_api_key', 'Content-Type': 'application/json' }, parameters: { temperature: 0.7, max_tokens: 2000 } }; ``` 2. **Implement API Handler**: ```javascript async function handleModelRequest(message, model) { const response = await fetch(modelConfig.endpoint, { method: 'POST', headers: modelConfig.headers, body: JSON.stringify({ messages: [{ role: "user", content: message }], ...modelConfig.parameters }) }); return await response.json(); } ``` ## Best Practices * **Rate Limiting**: Implement rate limiting for API calls * **Error Handling**: Add comprehensive error handling for each model * **Caching**: Implement response caching for improved performance * **Monitoring**: Add logging and monitoring for system health ## Security Considerations * **API Key Management**: Secure storage of API keys * **Request Validation**: Validate all incoming requests * **Rate Limiting**: Protect against abuse * **Data Privacy**: Implement data handling policies ## Model Integration Types ### 1. Cloud API Integration LumiaAI supports any API that follows the ChatGPT format. Here are some popular providers : * **OpenAI ChatGPT**: [https://platform.openai.com](https://platform.openai.com) * **Anthropic Claude**: [https://anthropic.com/claude](https://anthropic.com/claude) * **Deepseek**: [https://platform.deepseek.com](https://platform.deepseek.com) Example request format: ```javascript const response = await fetch('https://api.openai.com/v1/chat/completions', { method: 'POST', headers: { 'Authorization': 'Bearer your_api_key', 'Content-Type': 'application/json' }, body: JSON.stringify({ model: "gpt-3.5-turbo", messages: [ { role: "system", content: "You are a helpful assistant." }, { role: "user", content: "Hello!" } ], temperature: 0.7 }) }); // Expected Response Format { "id": "chatcmpl-123", "object": "chat.completion", "created": 1677652288, "choices": [{ "index": 0, "message": { "role": "assistant", "content": "Hello! How can I assist you today?" }, "finish_reason": "stop" }], "usage": { "prompt_tokens": 9, "completion_tokens": 12, "total_tokens": 21 } } ```