k8s-ai-cli 0.1.3

CLI that explains Kubernetes pod failures from logs using AI. Works locally with kubectl.

k8s-ai

k8s-ai is a Python CLI for Kubernetes log triage. It reads pod logs via kubectl and provides:

• likely root cause
• confidence level
• suggested remediation steps
• helpful follow-up kubectl commands

Designed for DevOps engineers, SREs, platform teams, and Kubernetes developers.

Install

pip install k8s-ai-cli

Quick Start

# help
k8s-ai --help

# analyze a pod
k8s-ai analyze --pod my-pod-abc123 --namespace production

Mock Example (No Cluster Required)

k8s-ai analyze --mock

Real Cluster Examples

# current logs
k8s-ai analyze --pod checkout-7f9d8c6f95-2kq9m --namespace payments

# previous logs (useful for CrashLoopBackOff)
k8s-ai analyze --pod api-6b8f74d9f7-ptc2z --namespace backend --previous

# specific container in a multi-container pod
k8s-ai analyze --pod worker-5c7bbf6d8d-v8l2r --namespace jobs --container processor

Safety

k8s-ai runs locally and uses your local kubectl context. It does not store logs by default.

Features

• AI-assisted root-cause analysis from pod logs
• Confidence scoring for diagnosis quality
• Actionable remediation guidance
• Suggested kubectl follow-up commands
• --mock mode for offline testing
• --previous support for restarted containers
• --container selection for multi-container pods

License

MIT