SynthLang

SynthLang

SynthLang is a hyper-efficient prompt language designed to optimize interactions with Large Language Models (LLMs) like GPT-4o by leveraging logographical scripts and symbolic constructs.

Stars: 157

Visit
 screenshot

SynthLang is a tool designed to optimize AI prompts by reducing costs and improving processing speed. It brings academic rigor to prompt engineering, creating precise and powerful AI interactions. The tool includes core components like a Translator Engine, Performance Optimization, Testing Framework, and Technical Architecture. It offers mathematical precision, academic rigor, enhanced security, a modern interface, and instant testing. Users can integrate mathematical frameworks, model complex relationships, and apply structured prompts to various domains. Security features include API key management and data privacy. The tool also provides a CLI for prompt engineering and optimization capabilities.

README:

Symbolic Scribe

GitHub Demo

Symbolic Scribe Interface

Optimize Your AI Prompts

Reduce AI costs by up to 70% with SynthLang's efficient prompt optimization. Experience up to 233% faster processing while maintaining effectiveness.

Transform your AI interactions with mathematically-structured prompts. Symbolic Scribe brings academic rigor to prompt engineering, helping you create more precise, reliable, and powerful AI interactions.

Technical Details

Core Components

๐Ÿ”„ Translator Engine

  • Advanced prompt parsing and tokenization
  • Intelligent structure analysis and context identification
  • Pattern recognition and syntax transformation
  • Real-time format validation and error detection
  • Metadata extraction and processing

โšก๏ธ Performance Optimization

  • Token reduction up to 70% through advanced compression
  • Processing speed improvements up to 233%
  • Real-time token counting and model-specific calculations
  • Semantic analysis and duplicate detection
  • Context merging and density optimization

๐Ÿงช Testing Framework

  • Comprehensive OpenRouter integration
  • Response quality validation
  • Performance monitoring (<500ms translation time)
  • Success rate tracking and error management
  • Usage pattern analysis

๐Ÿ”ง Technical Architecture

  • React + TypeScript frontend with Vite
  • Tailwind CSS for responsive design
  • OpenRouter API integration
  • Local-first architecture for privacy
  • WebAssembly modules for performance
  • Horizontal scaling capability
  • Advanced caching strategies

Performance Specifications

๐ŸŽฏ System Requirements

  • Response time < 500ms for translations
  • 99.9% uptime for API services
  • < 100ms latency for token counting
  • Real-time cost calculation
  • Concurrent request handling
  • Load balancing and request queuing

๐Ÿ”’ Security Features

  • Encrypted API key storage
  • Request validation and access control
  • Comprehensive audit logging
  • Data encryption at rest and in transit
  • Automated security testing

โœจ Mathematical Precision - Use formal frameworks for structured prompts
๐Ÿงฎ Academic Rigor - Leverage set theory, topology, and abstract algebra
๐Ÿ”’ Enhanced Security - Built-in threat modeling and safety constraints
๐Ÿ“ฑ Modern Interface - Sleek, responsive design that works everywhere
๐Ÿš€ Instant Testing - Real-time preview with multiple AI models

Key Features & Benefits

Mathematical Framework Integration

  • Set Theory Templates: Model complex relationships and hierarchies
  • Category Theory: Define abstract transformations and mappings
  • Abstract Algebra: Structure group operations and symmetries
  • Topology: Explore continuous transformations and invariants
  • Complex Analysis: Handle multi-dimensional relationships

Practical Applications

  • Information Security: Model threat vectors and attack surfaces
  • Ethical Analysis: Structure moral frameworks and constraints
  • AI Safety: Define system boundaries and safety properties
  • Domain Adaptation: Apply mathematical rigor to any field

User Experience

  • Interactive Console: Terminal-style interface with modern aesthetics
  • Real-time Preview: Test prompts with multiple AI models
  • Template Library: Pre-built frameworks for common use cases
  • Mobile Responsive: Full functionality on all device sizes
  • Local Storage: Secure saving of prompts and preferences

Security Features

API Key Management

  • Encrypted local storage of API keys
  • Optional environment variable configuration
  • No server-side key storage
  • Automatic key validation

Data Privacy

  • Client-side only processing
  • No external data transmission except to OpenRouter API
  • No tracking or analytics
  • Configurable model selection

Quick Start

  1. Installation
git clone https://github.com/ruvnet/SynthLang.git
cd SynthLang
npm install
  1. Configuration
cp .env.sample .env
# Edit .env with your OpenRouter API key
  1. Development
npm run dev
  1. Production Build
npm run build
npm run preview

CLI Tool

SynthLang includes a powerful command-line interface for prompt engineering, framework translation, and optimization capabilities.

CLI Installation

pip install synthlang

Basic Commands

  1. Translate - Convert natural language to SynthLang format:
synthlang translate --source "your prompt" --framework synthlang
  1. Optimize - Improve prompt efficiency:
synthlang optimize "path/to/prompt.txt"
  1. Evolve - Use genetic algorithms to improve prompts:
synthlang evolve "initial_prompt"
  1. Classify - Analyze and categorize prompts:
synthlang classify "prompt_text"

For detailed documentation on CLI usage and features, see:

Usage Guide

Basic Prompt Generation

  1. Select a mathematical framework template
  2. Choose your target domain
  3. Define your variables and relationships
  4. Generate structured prompts

Template Customization

  1. Navigate to Templates page
  2. Select a base template
  3. Modify variables and relationships
  4. Save for future use

Testing & Iteration

  1. Use the Preview function to test prompts
  2. Select different models for comparison
  3. Refine based on responses
  4. Export final versions

InfoSec Overview

Threat Model

  • Client-side only architecture
  • No persistent server storage
  • Encrypted API key storage
  • Input sanitization

Best Practices

  • Regular API key rotation
  • Use environment variables in production
  • Monitor API usage
  • Review generated prompts for sensitive data

Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

  1. Fork the repository
  2. Create a feature branch
  3. Install dependencies
  4. Make your changes
  5. Run tests
  6. Submit a PR

Support

  • Documentation: /docs page in app
  • Issues: GitHub issue tracker
  • Community: Discord server (coming soon)

System Architecture

src/
โ”œโ”€โ”€ core/
โ”‚   โ”œโ”€โ”€ translator/        # Prompt translation engine
โ”‚   โ”œโ”€โ”€ optimizer/        # Token optimization system
โ”‚   โ””โ”€โ”€ tester/          # Testing framework
โ”œโ”€โ”€ services/
โ”‚   โ”œโ”€โ”€ openRouter/      # OpenRouter integration
โ”‚   โ”œโ”€โ”€ storage/         # State management
โ”‚   โ””โ”€โ”€ analytics/       # Performance metrics
โ””โ”€โ”€ interfaces/
    โ”œโ”€โ”€ web/            # Web interface
    โ””โ”€โ”€ api/            # API endpoints

Development Guidelines

๐Ÿ”จ Code Organization

  • Modular architecture with clear separation of concerns
  • Consistent naming conventions and comprehensive documentation
  • Type safety and robust error handling
  • Extensive test coverage (unit, integration, performance)
  • CI/CD pipeline with automated testing and deployment
  • Comprehensive monitoring and logging

Future Roadmap

๐Ÿš€ Planned Enhancements

  • Advanced optimization algorithms
  • Extended model support
  • Enhanced analytics capabilities
  • Automated optimization suggestions
  • Custom testing scenarios
  • Batch processing improvements
  • Community features and integrations

License

MIT License - see LICENSE file for details

Acknowledgments

  • OpenRouter for AI model access
  • shadcn/ui for component library
  • Tailwind CSS for styling
  • Vite for build tooling

For Tasks:

Click tags to check more tools for each tasks

For Jobs:

Alternative AI tools for SynthLang

Similar Open Source Tools

For similar tasks

For similar jobs