Kubectl-GPT: Kubenetes cli powered by GPT | Quick Hack

Kubectl-GPT is an experimental open-source tool designed for running kubectl commands using GPT. The tool is powered by GPT3.5 and Langchain

Searching for the exact kubectl command can be challenging, so this is a convenient way to find it.

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📋 Requirements

• Python 3.10 or later (instructions: for Windows)
• OpenAI API key
• Kubernetes Installed
• Kubectl Installed

⚠️ OpenAI API Keys Configuration ⚠️

Obtain your OpenAI API key from: https://platform.openai.com/account/api-keys.

To use OpenAI API key for Auto-GPT, you NEED to have billing set up (AKA paid account).

You can set up paid account at https://platform.openai.com/account/billing/overview.

PLEASE ENSURE YOU HAVE DONE THIS STEP BEFORE PROCEEDING, OTHERWISE NOTHING WILL WORK!

💾 Installation

To try Kubectl-GPT, follow these steps:

1. Make sure you have all the requirements listed above, if not, install/get them

2. Clone the repository:

       git clone https://github.com/abhishek-ch/Kubectl-GPT.git

3. Navigate to the directory where the repository was downloaded

   cd Kubectl-GPT

4. Install the required dependencies

   pip install -r requirements.txt

5. Configure OpenAI Key

   • If Using OpenAI key, simply export OPENAI_API_KEY=*****
   • If want to use config file, rename config_template.ini -> config.ini file inside the Kubectl-GPT dir & update either Azure or OpenAI config

   By completing these steps, you have properly configured the API Keys for your project.

   • See OpenAI API Keys Configuration to obtain your OpenAI API key.
   • Details can be found here: https://pypi.org/project/openai/ in the Microsoft Azure Endpoints section and here: https://learn.microsoft.com/en-us/azure/cognitive-services/openai/tutorials/embeddings?tabs=command-line for the embedding model.

🔧 Usage

Run Kubectl-GPT Python module in your terminal

python -m kgpt "list all pods"

python -m kgpt "what is the cpu usage of the pod testing in the namespace xyz"