Skynet AI Assistant

Skynet is a next-generation AI assistant platform that leverages advanced foundation models and reasoning-enhanced language models to provide users with intelligent, contextual, and helpful responses.

✨ Features

• 🤖 Multiple AI Models: Choose from various foundation and reasoning models
• 💬 Natural Conversations: Engage in fluid, natural conversations with context awareness
• 🧠 Advanced Reasoning: View the AI's thinking process with transparent reasoning models
• 👨‍💻 Code Assistance: Generate and debug code with syntax highlighting
• 🎯 Specialized Agents: Access purpose-built AI agents for specific domains
• ⚡ Superagents: Use multi-agent workflows for complex tasks
• 🔄 Conversation History: Save and continue previous conversations
• 🎨 Dark/Light Themes: Choose your preferred visual style

🚀 Getting Started

Prerequisites

• Node.js 18+ and npm

Installation

1. Clone the repository:

git clone https://github.com/your-username/skynet-ai-assistant.git
cd skynet-ai-assistant

2. Install dependencies:

npm install

3. Create a .env file in the root directory with your Groq API key:

VITE_GROQ_API_KEY=your_groq_api_key_here

You can copy the .env.example file to create your .env file.

4. Start the development server:

npm run dev

5. Open http://localhost:5173 to view the app in your browser.

🏗️ Project Structure

src/
├── api/            # API integration (Groq API)
├── components/     # React components
├── config/         # Configuration files
├── constants/      # Constants and system prompts
├── data/           # Data files (models, agents)
├── hooks/          # Custom React hooks
├── lib/            # Libraries and utilities
├── pages/          # Page components
├── types/          # TypeScript type definitions
├── utils/          # Utility functions
├── App.tsx         # Main application component
├── main.tsx        # Entry point
└── index.css       # Global styles

📚 Key Components

• Chat Interface: Main conversation interface with message history
• Model Selector: UI for selecting different AI models
• Reasoning Display: UI for showing model reasoning steps
• Specialized Agents: UI for accessing domain-specific AI assistants
• Superagent Workflows: Interface for multi-agent collaboration

🧩 AI Models

Foundation Models

• Llama 3.3 70B
• Gemma 2 9B
• Mixtral 8x7B
• Llama 3.1 8B

Reasoning Models

• Qwen QWQ 32B
• DeepSeek R1 (Qwen 32B)
• DeepSeek R1 (Llama 70B)

🤖 Specialized Agents

• Code Wizard: Programming and development assistance
• Content Composer: Writing and content creation
• Data Sage: Data analysis and insights
• Research Navigator: Research and information gathering
• Business Strategist: Business strategy and analysis
• Security Guardian: Cybersecurity guidance
• Interview Coach: Job interview preparation
• Design Muse: Design and creative guidance

⚡ Superagents

• Blog Creation Superagent: Multi-agent workflow for creating comprehensive blog posts
  • Researcher: Gathers facts and information
  • Writer: Creates engaging content
  • Editor: Polishes and optimizes

🔧 Technologies Used

• React
• TypeScript
• Vite
• Tailwind CSS
• React Router
• React Markdown
• Groq API
• LangChain
• Lucide React

🌐 Environment Variables

The application uses the following environment variables:

Variable	Description	Required
VITE_GROQ_API_KEY	Your Groq API key	Yes

You can get a Groq API key by signing up at console.groq.com.

🧪 Testing

npm run test

🏗️ Building for Production

npm run build

🔮 Future Enhancements

• Voice interface
• Custom agent creation
• Workflow editor
• Mobile applications
• Document processing
• Data visualization
• Offline capabilities
• Multi-language support

Purpose

Project was creatod as major project for collge last year so ... ifyuk

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgements

• Groq for providing the API
• LangChain for multi-agent framework inspiration
• Lucide for beautiful icons
• Tailwind CSS for styling