🔮 VeinLab - Ollama Cloud Capability Explorer

Tagline: "From curiosity to code in 60 seconds"

🌐 Live Demo: https://grumpified-oggvct.github.io/veinlab/

An interactive GitHub Pages app that lets developers discover, experiment, and ship with Ollama Cloud models.

🎯 What It Does

VeinLab provides 6 comprehensive interactive demos showcasing Ollama Cloud capabilities:

1. 💬 Multi-Model Chat Arena

• Compare responses from gpt-oss:120b-cloud, deepseek-v3.1:671b-cloud, kimi-k2:1t-cloud
• Side-by-side streaming responses
• Uses: Cloud API, Streaming, Multiple models

2. 👁️ Vision Analyzer

• Upload images via drag & drop
• 4 pre-built analysis templates (Describe, Objects, OCR, Style)
• Uses: qwen3-vl:235b-cloud, Vision capability, Structured Outputs

3. 🔍 Web-Augmented Q&A

• Ask questions, AI searches web for current info
• Shows sources + AI synthesis
• Uses: Web search capability, Tool calling

4. 💻 Code Assistant

• 6 tasks: Generate, Explain, Debug, Optimize, Convert, Document
• Supports 10+ languages (Python, JavaScript, TypeScript, Java, C++, Go, Rust, etc.)
• Uses: qwen3-coder:480b-cloud, Structured Outputs

5. 🛠️ Function Caller Playground

• 6 pre-built tools (weather, calculator, search, email, datetime, currency)
• Watch AI decide when to use them
• Uses: Tool calling, Function definitions

6. 🌐 Ecosystem Dashboard

• Live data from Ollama Pulse reports
• 127 models across 5 categories
• Trending cloud models showcase
• Uses: Data visualization, Model discovery

🚀 Quick Start

🌐 View Live Demo

Visit: https://grumpified-oggvct.github.io/veinlab/

No installation required - runs entirely in your browser!

💻 Run Locally

git clone https://github.com/Grumpified-OGGVCT/veinlab.git
cd veinlab/docs
# Open index.html in your browser
# Or use a local server:
python -m http.server 8000
# Visit http://localhost:8000

�� Use the API Client

import { OllamaClient } from './assets/js/ollama-client.js';

const client = new OllamaClient('your-api-key');

// Chat with streaming
const stream = await client.chat('deepseek-v3.1:671b-cloud', [
  { role: 'user', content: 'Explain quantum computing' }
], { stream: true });

for await (const chunk of stream) {
  process.stdout.write(chunk);
}

// Vision analysis
const result = await client.vision(
  'qwen3-vl:235b-cloud',
  'Describe this image',
  imageBase64
);

📁 Project Structure

veinlab/
├── docs/                       # GitHub Pages root
│   ├── index.html             # Landing page
│   ├── playground/            # Interactive demos
│   │   ├── chat-arena.html
│   │   ├── vision.html
│   │   ├── search.html
│   │   ├── code.html
│   │   ├── tools.html
│   │   └── ecosystem.html
│   ├── assets/
│   │   ├── js/
│   │   │   └── ollama-client.js  # Reusable API wrapper
│   │   └── css/
│   │       └── main.css          # Dark theme styling
│   └── data/                  # Pulse reports (future)
├── .gitignore
├── LICENSE
└── README.md

🛠️ Tech Stack

• Zero Dependencies - Pure vanilla JavaScript
• 100% Client-Side - No backend required
• GitHub Pages - Free hosting
• Ollama Cloud API - Cloud-scale LLM inference
• Responsive Design - Mobile-first CSS (375px - 1920px)

🌟 Features

✅ See Before You Code - Test capabilities interactively
✅ Copy Working Examples - Production-ready code snippets
✅ Compare Models - Side-by-side model comparison
✅ Discover Ecosystem - Trending models and projects
✅ Zero Setup - Runs entirely in browser
✅ Open Source - MIT licensed, fork and customize

🔑 API Key Setup

1. Get your Ollama Cloud API key from ollama.com
2. Each demo has an API key input field
3. Keys are stored in browser localStorage (never sent to servers)
4. For production use, implement proper key management

📊 Supported Models

Cloud Models (7 total)

• deepseek-v3.1:671b-cloud - Massive reasoning (671B params)
• kimi-k2:1t-cloud - 1 trillion parameter powerhouse
• qwen3-coder:480b-cloud - Specialized coding model
• gpt-oss:120b-cloud - Open source GPT alternative
• qwen3-vl:235b-cloud - Vision-language model
• glm-4.6:cloud - Advanced reasoning with 200K context
• gpt-oss:20b-cloud - Efficient general model

🤝 Contributing

Contributions welcome! Please:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📝 License

MIT License - see LICENSE file for details

🙏 Acknowledgments

• Built with Ollama Cloud
• Inspired by the Ollama community
• Daily ecosystem data from Ollama Pulse

📧 Contact

• GitHub: @Grumpified-OGGVCT
• Project: VeinLab
• Live Demo: https://grumpified-oggvct.github.io/veinlab/

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⚡ VeinLab - Where Ollama Cloud Capabilities Come Alive
🌐 Try it now: https://grumpified-oggvct.github.io/veinlab/