We introduce TorchOpera, a compound AI system for enhancing the safety and
quality of prompts and responses for Large Language Models. TorchOpera ensures
that all user prompts are safe, contextually grounded, and effectively
processed, while enhancing LLM responses to be relevant and high quality.
TorchOpera utilizes the vector database for contextual grounding, rule-based
wrappers for flexible modifications, and specialized mechanisms for detecting
and adjusting unsafe or incorrect content. We also provide a view of the
compound AI system to reduce the computational cost. Extensive experiments show
that TorchOpera ensures the safety, reliability, and applicability of LLMs in
real-world settings while maintaining the efficiency of LLM responses.

TorchOpera 是一个复合的人工智能系统，用于增强大型语言模型的提示和回答的安全性和质量。该系统利用向量数据库进行上下文相关，使用基于规则的包装器进行灵活修改，并使用专门的机制检测和调整不安全或不正确的内容，同时降低计算成本，以确保 LLM 在现实世界中的安全性、可靠性和适用性，并保持 LLM 响应的效率。