🦙 kubectllama - AI-powered Kubernetes CLI

Welcome to kubectllama! 🐾 The AI-powered CLI tool that takes your Kubernetes management to the next level by allowing you to run kubectl commands through natural language. 🎉 Say goodbye to memorizing complex kubectl commands and let kubectllama handle it for you! 🤖✨

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🌟 Features

• 🗣️ Natural Language Processing: Simply type commands like "Get all pods in the default namespace" and let kubectllama do the magic.
• ⚡ Fast & Efficient: Get complex kubectl commands with minimal effort and increased productivity.
• 🔒 Safe & Secure: Your AI assistant lives locally on your machine, ensuring your commands are processed securely.
• 💬 Confirmation Step: the cli doesn't execute any command, kubectllama will only display the suggested command so to prevent unwanted actions.

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🛠️ Installation

kubectllama can be installed either by downloading a pre-built executable from GitHub Releases or by cloning the repository and building from source. Below are instructions for both methods.

Prerequisites

• Ollama: You need Ollama installed and running locally (default URL: http://localhost:11434). Download it from Ollama's website.
  • Model: By default, kubectllama uses the mistral model because it offers the best tradeoff between speed and precision. However, you can use any Ollama model by specifying it with the --model flag (e.g., --model llama3). Pull your chosen model:

    ollama pull mistral  # Default model

    Or, for a different model:

    ollama pull <model-name>

• Go: Required only for building from source (version 1.21+).

Method 1: Download Pre-Built Executable

Pre-built binaries are available for Linux, macOS, and Windows from the GitHub Releases page. Since the repository is public, no authentication is needed.

Linux

curl -L -o kubectllama \
 https://github.com/JasonShuyinta/kubectllama/releases/latest/download/kubectllama-linux-amd64
chmod +x kubectllama
sudo mv kubectllama /usr/local/bin/

macOS

curl -L -o kubectllama \
     https://github.com/JasonShuyinta/kubectllama/releases/latest/download/kubectllama-macos-amd64
chmod +x kubectllama
sudo mv kubectllama /usr/local/bin/

Windows

1. Download kubectllama-windows-amd64.exe from the latest release.
2. Move it to a directory in your PATH (e.g., C:\Windows\System32) using File Explorer or:

move kubectllama-windows-amd64.exe C:\Windows\System32\kubectllama.exe

Verify Installation

kubectllama --version

Method 2: Clone and Build from Source

If you prefer to build kubectllama yourself or want to modify the code:

1. Clone the repository:

git clone https://github.com/JasonShuyinta/kubectllama.git
cd kubectllama

2. Build the binary:

go build -o kubectllama .

3. Install it:

sudo mv kubectllama /usr/local/bin
chmod +x /usr/local/bin/kubectllama

• For Windows, move it to a PATH directory:

  move kubectllama.exe C:\Windows\System32\

Verify Installation

kubectllama --help

🚀 Usage

After installation, run kubectllama with a natural language request:

kubectllama get pods running in the test namespace

Output (using default mistral model):

kubectl get pods -n test
This command retrieves information about all running pods across the "test" in your Kubernetes cluster.
Execute this command? [Y/n]

To use a different model, specify it with the --model flag:

kubectllama --model llama3 get pods running in the test namespace

If Ollama is running a different host from the default one, you can specify it with the --url flag:

kubectllama --url http://my-ollama-custom-url:8080 get pods running in test namespace