Prompt Engineering

关于

Provides expert guidance for building robust LLM-driven applications by implementing a layered security approach to prompt design. It ensures user inputs are sanitized and system instructions remain protected while leveraging advanced orchestration patterns like intent classification, task routing, and automated output verification. By following these frameworks, developers can create reliable agents capable of executing complex, multi-turn interactions while maintaining strict security boundaries and optimizing token usage.

主要功能

• Layered security guardrails for prompt construction
• Prompt injection detection and risk scoring
• Multi-step task routing and intent classification
• Performance-aware token optimization and caching
• LLM output validation and data sanitization
• 4 GitHub stars

使用场景

• Developing secure agentic systems resistant to jailbreaking
• Orchestrating complex workflows across multiple tools and models
• Implementing reliable output parsing and tool-calling validation