SLBrowser 🔍🧠

AI-Powered Terminal Web Browser for Content Analysis and Research

SLBrowser is a modern, intelligent terminal-based web browser that combines web scraping, AI-powered content analysis, and beautiful terminal formatting to provide an efficient research and content exploration experience directly from your command line.

✨ Features

🔍 Smart Web Search & Analysis

• Unified Search & Analysis: /find command searches and analyzes multiple results automatically
• Step-by-step Analysis: Traditional /search + /open workflow for detailed control
• DuckDuckGo Integration: Privacy-focused web search
• Configurable Depth: Analyze 1-10 search results at once

🧠 AI-Powered Content Analysis

• Google Gemini Integration: State-of-the-art AI analysis using Pydantic AI
• Structured Output: WebCards with summaries, key facts, dates, and links
• Confidence Scoring: AI provides confidence ratings for each analysis
• Streaming Support: Real-time analysis progress updates

🎨 Beautiful Terminal Interface

• Rich Formatting: Colorful, responsive terminal UI using Rich library
• ASCII Art Branding: Eye-catching SLBrowser logo
• Progress Indicators: Visual feedback for all operations
• Error Handling: Graceful error display and recovery

⚡ Performance & Usability

• Async Operations: Non-blocking web requests and AI processing
• Smart Caching: Search result and analysis caching
• Command Aliases: Short commands (/f, /s, /k, etc.) for power users
• Persistent Config: API keys saved locally for seamless usage

🚀 Installation

From PyPI (Recommended)

pip install slbrowser

From Source

git clone https://github.com/antonvice/slbrowser.git
cd slbrowser
pip install -e .

🔧 Setup

1. Get a Google Gemini API Key

   • Visit Google AI Studio
   • Create a free API key
   • Copy the key for the next step

2. Configure SLBrowser

   slbrowser
   # On first run, set your API key:
   /key YOUR_API_KEY_HERE
   

Your API key will be securely saved to ~/.slbrowser/api_key.txt for future sessions.

📖 Usage

SLBrowser provides two interfaces:

• slbrowser: Interactive Terminal User Interface (TUI) with commands like /find, /search, /key
• slb: Command Line Interface (CLI) for direct command execution with arguments

Launch SLBrowser

Interactive TUI (Recommended)

slbrowser

Command Line Interface

# For direct command execution
slb search "your query" --max-results 3
slb analyze https://example.com

Basic Commands

🔍 Find & Analyze (Recommended)

# Search and analyze top 5 results automatically
/find python machine learning tutorials

# Analyze specific number of results (1-10)
/find quantum computing 3

# Short alias
/f artificial intelligence trends 2024

🔎 Traditional Search

# Search only (no analysis)
/search web scraping python
/s data science tools

# Then analyze specific results
/open 1    # Analyze first result
/o 3       # Analyze third result

🌐 Direct URL Analysis

# Analyze any webpage directly
/url https://docs.python.org/3/tutorial/
/u https://github.com/trending

⚙️ Configuration

# Set API key
/key YOUR_NEW_API_KEY
/k YOUR_NEW_API_KEY

# Clear API key
/key clear

# Check status
/status

# Clear screen
/clear
/c

# Get help
/help
/h

# Quit
/quit
/q

Command Aliases

Full Command	Alias	Description
/find	/f	Search and analyze multiple results
/search	/s	Search only (no analysis)
/open	/o	Analyze search result by number
/url	/u	Analyze URL directly
/key	/k	Set/clear API key
/clear	/c	Clear screen
/help	/h	Show help
/quit	/q	Exit SLBrowser

🎯 Use Cases

📚 Research & Learning

• Quickly analyze multiple sources on a topic
• Get structured summaries of complex articles
• Extract key facts and dates from content
• Discover related links and resources

💼 Professional Analysis

• Market research and trend analysis
• Competitive intelligence gathering
• Technical documentation review
• News and industry monitoring

🔬 Academic Work

• Literature review and source analysis
• Fact-checking and verification
• Research paper preparation
• Educational content exploration

🏗️ Architecture

SLBrowser is built with modern Python practices:

• Pydantic AI: Structured AI outputs with Google Gemini
• Rich: Beautiful terminal formatting and progress indicators
• httpx: Modern async HTTP client for web requests
• BeautifulSoup: HTML parsing and content extraction
• ddgs: Privacy-focused DuckDuckGo search

Project Structure

slbrowser/
├── __init__.py          # Package initialization and exceptions
├── __main__.py          # Entry point and logging setup
├── ai.py               # Pydantic AI integration with Gemini
├── config.py           # Configuration management
├── models.py           # Pydantic data models
├── search.py           # DuckDuckGo search functionality
├── tui.py             # Rich-powered terminal interface
└── web.py             # Web scraping and content extraction

🤝 Contributing

We welcome contributions! Here's how to get started:

1. Fork the Repository

   git clone https://github.com/antonvice/slbrowser.git
   cd slbrowser
   

2. Set Up Development Environment

   pip install -e ".[dev]"
   

3. Run Tests

   pytest
   mypy slbrowser/
   ruff check slbrowser/
   

4. Submit Pull Request

Development Tools

• Testing: pytest, pytest-asyncio, pytest-cov
• Type Checking: mypy
• Linting: ruff
• Formatting: ruff format

📄 License

MIT License - see LICENSE file for details.

👨‍💻 Author

Anton Vice - CTO, SelfLayer 📧 anton@selflayer.com 🐙 GitHub 🔗 LinkedIn

🙏 Acknowledgments

• Pydantic AI for structured AI outputs
• Rich for beautiful terminal formatting
• DuckDuckGo for privacy-focused search
• Google Gemini for powerful AI analysis

📊 Changelog

v0.1.0 (2024-09-14)

• 🎉 Initial release
• ✨ Unified /find command for search + analysis
• 🧠 Google Gemini AI integration
• 🎨 Rich terminal interface
• ⚡ Async operations and caching
• 🔧 Command aliases and persistent config

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Made with ❤️ for researchers, developers, and curious minds everywhere.

SLBrowser - Because the web deserves intelligent exploration.