Skynet

Advanced multi llm.

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Skynet AI Assistant

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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

🌐 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

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