PromAssistant introduces a novel framework that transforms natural language queries into PromQL code, enabling engineers to monitor complex systems without mastering domain-specific querying languages.

• Integrates LLM capabilities with domain-specific knowledge to generate accurate PromQL queries
• Reduces the technical barrier for engineers monitoring critical online service systems
• Enhances system reliability monitoring through intuitive natural language interfaces
• Demonstrates how AI can streamline technical workflows in engineering environments

This innovation directly addresses a key pain point for engineering teams maintaining complex online systems, enabling faster troubleshooting and more accessible system monitoring across technical expertise levels.

PromAssistant: Leveraging Large Language Models for Text-to-PromQL