Protocol v2.1
Technical Specification
Complete technical documentation for the PromptFolding™ protocol implementation
Hierarchical Composition
Nested prompt structures with inherited context and dynamic token allocation
Recursive Optimization
Self-improving prompt structures through feedback loops and performance analysis
Cross-Modal Bridging
Unified prompt architecture across text, code, and multimodal inputs
Implementation Guide
Get started with PromptFolding™ in your preferred environment
API
REST API
Simple HTTP endpoints for easy integration
POST /api/v2.1/fold
Py
Python SDK
Native Python library for data science workflows
pip install prompt-folding
JS
JavaScript SDK
Node.js and browser support for web applications
npm install @prompt-folding/core
Platform Compatibility
GPT
OpenAI GPT
✓ SupportedClaude
Anthropic Claude
✓ SupportedGemini
Google Gemini
✓ SupportedLLaMA
Meta LLaMA
⚡ BetaPerformance Metrics
Real-world performance improvements across various use cases
Token Reduction
40-60%Quality Improvement
+15%Processing Speed
2.3xReady to Implement?
Start integrating PromptFolding™ into your AI development workflow today