Architects secure, high-performance prompts and orchestrates multi-step LLM workflows with built-in injection prevention and output validation.
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.
主な機能
01Layered security guardrails for prompt construction
02Prompt injection detection and risk scoring
03Multi-step task routing and intent classification
04Performance-aware token optimization and caching
05LLM output validation and data sanitization
064 GitHub stars
ユースケース
01Developing secure agentic systems resistant to jailbreaking
02Orchestrating complex workflows across multiple tools and models
03Implementing reliable output parsing and tool-calling validation