Prompt Engineering
LangIQ's Prompt Engineering Library provides a unified API in Python and JavaScript for interfacing with local and frontier LLMs, featuring 250+ customer-optimized prompts. Built with enterprise-grade data privacy, security, and reliability at its core, this comprehensive toolkit enables developers to craft custom LLM applications by integrating secure LLM workflows with purpose-built safety and privacy controls.
Prompt Engineering
Unified API library in Python and JavaScript for seamless integration with local and frontier LLMs including OpenAI, Google, Anthropic, and open-source models
Purpose-built collection of 250+ customer-optimized prompts with enterprise-grade data privacy, security, and reliability for custom LLM applications
Integrated LLM workflow with Promise-based architecture ensuring data safety, end-to-end encryption, and non-blocking scalable AI interactions
Secure response caching system with privacy-first design, reducing costs while maintaining data confidentiality and improving response times
Enterprise-grade performance tracking with security auditing, compliance monitoring, token consumption analytics, and private model comparison capabilities
Why Prompt Engineering ?
Unified API library in Python and JavaScript to interface with local and frontier LLMs seamlessly
Purpose-built 250+ customer optimized prompts with data privacy, security and reliability for LLM applications
Enterprise-grade security features ensuring data safety, privacy protection and compliance standards
Develop custom enterprise-grade LLM applications by integrating secure LLM workflows with confidence
Built-in data encryption, access controls and audit trails for maximum security and privacy compliance
Solutions
Provides unified API library in Python and JavaScript to interface with local and frontier LLMs seamlessly
Features 250+ customer-optimized prompts with collaborative workspace and version control for team development
Ensures data privacy, security and reliability with intelligent caching reducing latency and operational costs
Enables enterprise-grade LLM applications with comprehensive testing framework and performance benchmarking tools
Integrates LLM workflows through advanced prompting techniques and structured reusable prompt components
Advantages
Unified Interface: Single API supports all major LLM providers eliminating vendor-specific integration complexity
Data Privacy & Security: Enterprise-grade encryption and secure data handling with zero data retention policies
Development Speed: Pre-built templates and testing tools accelerate prompt development and optimization cycles
Performance Insights: Detailed analytics enable data-driven decisions for model selection and prompt refinement
Enterprise Reliability: Asynchronous architecture with data safety protocols supports high-volume operations