[Feature Request]: Enhanced Error Diagnosis Through Graph-Based Contextual Understanding

[karanveersingh5623]

Problem:

KRS's current error diagnosis accuracy can be limited by its inability to consider the broader Kubernetes cluster context.

Proposed Solution:

Construct a graph representation of the Kubernetes cluster, extract subgraphs surrounding error-prone nodes, and provide this context to the LLM for improved error analysis.

Benefits:

Increased accuracy of error diagnosis by leveraging contextual information.
Enhanced user understanding of Kubernetes cluster topology through visualization.
Deeper insights into the root causes of errors.

By incorporating graph-based analysis, KRS can provide more comprehensive and accurate troubleshooting recommendations.

[karanveersingh5623]

@OluchukwuON , try leveraging a tool like https://github.com/ahmetb/kubectl-tree

[OluchukwuON]

@karanveersingh5623 alright, I will get to it immediately