🤖 AI Progress Controls

Production-ready UI components for AI/ML workflows

React • Next.js • Web Components • Drop in with one import

🎯 7 Components • 📦 10 Examples • 📖 Complete Docs • ✅ Published on npm

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🚀 Why AI Progress Controls?

Stop rebuilding the same AI UI components for every project. Get production-ready components that work with ANY framework:

✨ Developer Experience ⚛️ React & Next.js Ready - Native adapters with hooks & SSR 🎯 One Import Away - Single import, drop in JSX, done 🔌 Web Components - Works everywhere (Vue, Angular, Svelte, plain HTML) 📦 Zero Dependencies - Lightweight and fast (~28KB gzipped) 🎨 Fully Themeable - CSS variables, dark mode ready 📘 TypeScript First - Complete type definitions included

🤖 AI-Aware Features ⚡ Token Streaming - Real-time visualization with rate tracking 💰 Cost Estimation - Built-in pricing calculations 🔄 Retry Logic - Exponential backoff strategies 📊 Queue Management - Position tracking with ETA 🎯 Batch Processing - Concurrency control & item tracking 🎛️ Parameter Controls - Unified LLM configuration panels 🎨 Visual Customization ✅ 4 Visual Variants - default, minimal, gradient, glassmorphic ✅ 4 Animation Effects - none, striped, pulse, glow ✅ 3 Size Variants - compact, default, large ✅ 5 Brand Themes - OpenAI, Anthropic, Google AI, Cohere, Dark ✅ Cursor Feedback - Automatic state indication ✅ Smooth Animations - Hardware-accelerated transitions

🎯 Production Stats

7 Components	10 Examples	292 Tests	91.34% Coverage	0 Errors
Fully documented	Copy-paste ready	100% passing	Exceeds 80% target	SonarQube clean

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⚡ Quick Start - Choose Your Framework

🎯 2-Minute Quick Start Guide - Get running in 30 seconds!

⚛️ React / Next.js (Recommended) npm install ai-progress-controls ai-progress-controls-react import { StreamProgress } from 'ai-progress-controls-react'; function App() { return <StreamProgress maxTokens={2000} />; } That's it! Props sync automatically, no refs needed. 📖 React Guide • 📖 Next.js Guide

🌐 Web Components (Universal) Works in Vue, Angular, Svelte, or plain JavaScript: import { StreamProgress } from 'ai-progress-controls'; const progress = new StreamProgress({ maxTokens: 2000 }); document.body.appendChild(progress); That's it! Import, create, append - works in any framework. 🎯 Quick Start • 📦 Installation Guide • 🎮 Examples

📚 Documentation

New to AI Progress Controls?
🎯 Quick Start (2 min) • 📦 Complete Installation • 💻 npm Usage Examples

Framework Guides:
⚛️ React Adapter • ▲ Next.js Adapter • 🖖 Vue 3 Guide • 🅰️ Angular Guide • 🔥 Svelte Guide

Code Examples:
⚛️ React Examples • ▲ Next.js Examples • 🎮 Vanilla JS Examples

Reference:
📚 API Docs • 🎨 Theming • 🎭 Visual Variants

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📦 Framework Integration

Choose the best package for your stack

⚛️ React npm install ai-progress-controls-react Features: ✅ Hooks-based API ✅ Props sync automatically ✅ TypeScript support ✅ React 18+ compatible 📖 React Documentation

▲ Next.js npm install ai-progress-controls-next Features: ✅ Full SSR support ✅ App Router ready ✅ No hydration errors ✅ Auto client components 📖 Next.js Documentation

🌐 Web Components npm install ai-progress-controls Features: ✅ Framework-agnostic ✅ Vue, Angular, Svelte ✅ Plain JavaScript ✅ Zero dependencies 📖 Web Components Guide

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🎮 Live Demo

git clone https://github.com/Maneesh-Relanto/ai-progress-controls.git
cd ai-progress-controls
npm install
npm run dev

🌐 Open http://localhost:5173

🏠 Homepage	📚 Examples Gallery
Interactive demos of all 7 components	10 copy-paste examples

💡 Pro Tip: Open index.html directly in your browser to see all components in action!

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📦 What's Included

🎯 7 Production-Ready Components

🌊 StreamProgress Real-time token streaming visualization ✓ Rate tracking (tokens/sec) ✓ Cost estimation ✓ Live progress updates 📖 Docs • 🎮 Demo	📥 ModelLoader Multi-stage model loading ✓ Download progress ✓ Memory usage tracking ✓ Per-stage ETA 📖 Docs • 🎮 Demo	🎛️ ParameterSlider Single LLM parameter control ✓ Temperature, top-p, etc. ✓ Preset configurations ✓ Manual input support 📖 Docs • 🎮 Demo
🎚️ ParameterPanel 🆕 Multi-parameter configuration ✓ Grouped controls ✓ Preset management ✓ Export/import configs ✓ Custom validation 📖 Docs • 🎮 Demo	⏳ QueueProgress Queue position tracking ✓ Live position updates ✓ ETA calculation ✓ Processing rate 📖 Docs • 🎮 Demo	🔄 RetryProgress Exponential backoff retry ✓ 4 retry strategies ✓ Automatic retry logic ✓ Error handling 📖 Docs • 🎮 Demo
📊 BatchProgress Batch processing progress ✓ Multiple items ✓ Concurrency control ✓ Individual tracking 📖 Docs • 🎮 Demo

📚 Complete Documentation

📖 Getting Started	🎮 28+ Examples	📘 API Reference	🎨 Theming Guide
Quick setup guide	4-6 per component	1,100+ lines each	CSS variables

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🎯 Problem & Solution

❌ The Problem Developers building AI apps face repetitive UI challenges: 🔴 Generic progress bars don't show AI context (tokens, costs, queues) 🔴 Manual implementation of LLM controls = inconsistent UX 🔴 No standard components for AI operations 🔴 Framework lock-in forces rebuilding for React/Vue/Angular 🔴 Poor DX integrating with streaming AI APIs

✅ Our Solution Specialized UI components built FOR AI workflows: 🟢 AI-aware components with token tracking, cost estimation 🟢 Production-ready - just import and use 🟢 Works everywhere - framework-agnostic Web Components 🟢 Zero dependencies - lightweight and fast 🟢 TypeScript first - complete type safety

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👥 Target Audience

Frontend & Fullstack developers building AI-powered applications

🎯 Primary Users 🤖 Developers integrating OpenAI/Anthropic/other LLM APIs 🏢 Teams building internal AI tools and dashboards 💼 Indie hackers creating AI SaaS products 🔬 ML engineers adding UIs to inference pipelines 🛠️ Developer tool creators building AI-enhanced IDEs

💡 Use Cases 💬 Chatbot interfaces with streaming responses 🖼️ Image generation tools (Stable Diffusion, DALL-E) 📄 Batch document processing systems ✍️ AI content creation platforms 🎛️ Model fine-tuning dashboards 🎤 Voice/audio transcription services

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📊 Project Status

🚀 v0.1.0 - Production Ready

✅ Completed

🎯 Components (7/7) ✅ StreamProgress - Token streaming ✅ ModelLoader - Multi-stage loading ✅ ParameterSlider - LLM controls ✅ QueueProgress - Queue tracking ✅ RetryProgress - Retry logic ✅ BatchProgress - Batch processing

📚 Documentation ✅ 10 interactive examples (visual variants, theming, cursor states) ✅ Complete API docs (400+ lines each) ✅ Getting started guide ✅ TypeScript definitions ✅ Visual variants guide

✅ Testing & Quality Assurance

292 tests • 100% pass rate • ~7.2s execution time

📊 Test Coverage by Component Component Tests Status 🎛️ ParameterPanel 55 ✅ 🌊 StreamProgress 49 ✅ 📊 BatchProgress 46 ✅ 🔄 RetryProgress 40 ✅ ⏳ QueueProgress 36 ✅ 🎛️ ParameterSlider 34 ✅ 📥 ModelLoader 32 ✅ TOTAL 292 ✅ 100%

🧪 What's Tested ✅ Lifecycle Methods - start, update, complete, cancel, reset ✅ Event Emission - All custom events verified ✅ State Management - State transitions & accuracy ✅ Properties - Getters, setters, disabled states ✅ Rendering - Shadow DOM & dynamic updates ✅ Accessibility - ARIA attributes & roles ✅ Edge Cases - Boundary values, rapid operations ✅ Validation - Custom validation functions ✅ Persistence - localStorage save/load

🔬 Test Framework: Vitest with jsdom • ⚡ Fast: ~7.2s for 292 tests • 🎯 Comprehensive: Every public API + visual variants tested

Run Tests: npm test

🚧 Next Steps

Priority	Task	Status
🔴 High	npm package publishing	Ready
🟡 Medium	Documentation website (GitHub Pages)	Planned
🟡 Medium	E2E tests	Planned
🟢 Low	Additional components (6+ identified)	Roadmap

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🔥 Framework Support - Works Everywhere!

One component. Any framework. Zero configuration.

⚛️ React / Next.js import { StreamProgress } from 'ai-progress-controls'; const progress = new StreamProgress(); containerRef.current.appendChild(progress);	💚 Vue / Nuxt import { StreamProgress } from 'ai-progress-controls'; const progress = new StreamProgress(); container.value.appendChild(progress);	🅰️ Angular import { StreamProgress } from 'ai-progress-controls'; const progress = new StreamProgress(); this.container.nativeElement.appendChild(progress);
🧡 Svelte / SvelteKit import { StreamProgress } from 'ai-progress-controls'; const progress = new StreamProgress(); container.appendChild(progress);	🟦 SolidJS import { StreamProgress } from 'ai-progress-controls'; const progress = new StreamProgress(); container?.appendChild(progress);	⚡ Vanilla JS import { StreamProgress } from 'ai-progress-controls'; const progress = new StreamProgress(); document.body.appendChild(progress);

Also works with: Preact • Lit • Astro • Qwik • Ember • And any other JavaScript framework!

📖 See full framework examples

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🎨 Features

🏗️ Architecture ✅ Web Components (native browser standard) ✅ Shadow DOM encapsulation ✅ Zero dependencies ✅ ~28KB gzipped (all 7 components) ✅ TypeScript strict mode 🎯 AI-Specific ✅ Token counting & rate tracking ✅ Cost estimation ($/token) ✅ Queue position & ETA ✅ Retry strategies (4 types) ✅ Batch concurrency control

♿ Accessibility ✅ WCAG AA compliant (4.5:1 contrast) ✅ ARIA attributes & roles ✅ Keyboard navigation support ✅ Screen reader optimized ✅ Focus management 🎨 Theming ✅ CSS custom properties ✅ Dark mode ready ✅ Reduced motion support ✅ High contrast mode ✅ Fully customizable

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🛣️ Roadmap

✅ Phase 1 Core Architecture ✅ Web Components ✅ TypeScript setup ✅ Build pipeline ✅ Dev environment

✅ Phase 2 Components ✅ StreamProgress ✅ ModelLoader ✅ ParameterSlider ✅ QueueProgress ✅ RetryProgress ✅ BatchProgress ✅ ParameterPanel 🆕

✅ Phase 3 Visual Variants & Animations 🎨 ✅ 4 Visual Variants (default, minimal, gradient, glassmorphic) ✅ 4 Animation Effects (none, striped, pulse, glow) ✅ 3 Size Variants (compact, default, large) ✅ Cursor States (auto-updating based on component state) ✅ 48 additional tests (292 total)

✅ Phase 4 Documentation & Examples 📚 ✅ 10 Examples - Interactive demos ✅ 7 API Docs - Complete references ✅ Visual Variants Guide - Customization ✅ Theming Guide - CSS variables ✅ Getting Started - Quick setup

🔮 Future Components

• 🔄 WorkflowProgress - Multi-step AI pipeline visualization
• 📊 ConfidenceThreshold - Adjustable confidence sliders with previews
• 🎯 ModelComparison - Side-by-side model performance comparison
• 📈 MetricsDisplay - Real-time metrics dashboard for AI operations
• 📤 FileUploadProgress - Drag-drop file uploads for AI processing
• 🎵 TranscriptionProgress - Real-time audio transcription visualization

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�️ Quality & Testing

We maintain enterprise-grade quality standards with multiple layers of automated validation:

Validation	Tool	Status	Metric
🧪 Unit Tests	Vitest	✅	292 tests passing
📊 Coverage	Vitest	✅	91.34% (target: 80%)
🔒 Type Safety	TypeScript	✅	Strict mode, 0 errors
✨ Code Quality	SonarQube	✅	0 critical issues
🎨 Formatting	Prettier	✅	Auto-formatted
⚡ Performance	Lighthouse	✅	95+ scores
♿ Accessibility	Axe + Lighthouse	✅	WCAG 2.1 AA
🔐 Security	npm audit	✅	0 vulnerabilities

---## 📖 Documentation

Resource	Description	Link
📘 Getting Started	Setup guide for all frameworks	View
📚 API Reference	Complete API docs (7 components)	View
🎮 Examples	10 interactive examples	View
🎨 Visual Variants	Customization & animations	View
🖌️ Theming Guide	CSS variables & brand themes	View
♿ Accessibility	WCAG compliance details	View

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🤝 Contributing

Contributions welcome! This is an open-source project aimed at improving DX for AI application developers.

Report Issues • Suggest Features • Submit PRs

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📄 License

MIT License - See LICENSE file for details

Copyright © 2026 Maneesh Thakur

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