kube-gemini

# Kubernetes Gemini

Kubernetes Gemini powered by LLM, which leverages advanced language models to streamline and enhance Kubernetes cluster management. This tool integrates seamlessly with your existing Kubernetes setup, providing intelligent automation, diagnostics, and manifest generation capabilities. By utilizing the power of AI, Kubernetes Gemini simplifies complex operations and helps maintain the health and security of your Kubernetes workloads.

## Features

- Automate Kubernetes cluster operations using large language models.
- Provide your own OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini or other OpenAI-compatible LLM providers.
- Diagnose and analyze potential issues for Kubernetes workloads.
- Generate Kubernetes manifests based on provided prompt instructions.
- Utilize native `kubectl` and `trivy` commands for Kubernetes cluster access and security vulnerability scanning.
- Support for Model Context Protocol (MCP) protocol to integrate with external tools.

## Installation

Install the kube-gemini CLI with the following command:

```sh
go install github.com/feiskyer/kube-gemini/cmd/kube-gemini@latest
```

## Quick Start

Setup the following environment variables:

- Ensure [`kubectl`](https://kubernetes.io/docs/tasks/tools/install-kubectl-linux/) is installed on the local machine and the kubeconfig file is configured for Kubernetes cluster access.
- Install [`trivy`](https://github.com/aquasecurity/trivy) to assess container image security issues (only required for the `audit` command).
- Set the OpenAI [API key](https://platform.openai.com/account/api-keys) as the `OPENAI_API_KEY` environment variable to enable LLM AI functionality (refer below for other LLM providers).

Then run the following commands directly in the terminal:

```sh
Kubernetes Gemini powered by OpenAI

Usage:
  kube-gemini [command]

Available Commands:
  analyze     Analyze issues for a given resource
  audit       Audit security issues for a Pod
  completion  Gen