kubectl-ai is a powerful Kubernetes CLI plugin that leverages AI models to simplify complex Kubernetes operations. It acts as an intelligent interface between users and their Kubernetes clusters, translating natural language commands into precise kubectl operations.
Key Features
- Supports multiple AI providers including Google's Gemini, OpenAI, Azure OpenAI, X.AI's Grok, and local models via Ollama/Llama.cpp
- Interactive mode for conversational Kubernetes management
- Ability to process queries from stdin or files
- Special commands for model management and context control
- Works as both a kubectl plugin and standalone tool
Installation Options
- Via direct download and installation script
- Through krew (Kubernetes plugin manager)
Usage Examples
- Query cluster status:
kubectl-ai "show me all pods in the default namespace" - Create resources:
kubectl-ai "create a deployment named nginx with 3 replicas" - Troubleshoot issues:
kubectl-ai "explain the error" < error.log
The project also includes benchmarking tools to evaluate different LLM models on Kubernetes-related tasks and provides infrastructure for deploying your own local models. While developed by Google Cloud Platform, this is not an officially supported Google product.