Add AI Chat Interface for Real-Time Metric Analysis #12
Description
Build interactive AI chat interface for querying cluster metrics
Description:
Implement a chat-based interface that allows users to query historical and real-time cluster metrics via an LLM. The system should retrieve relevant metric data, summarize it, and provide contextual answers.
Requirements:
Support natural-language questions about nodes, pods, and containers (CPU, memory, storage, network).
Implement a retrieval layer to fetch relevant metric windows.
Convert retrieved metrics into concise text summaries before sending them to the LLM.
Provide explanations, anomaly interpretations, and trend insights.
Handle incomplete or missing data gracefully.
Acceptance Criteria:
Users can ask questions such as “Why was pod X slow yesterday?” or “Show memory trends for node Y.”
The system retrieves the correct data and generates an accurate summary.
LLM responses are context-aware and grounded in real metrics.