agentk8s 0.1.1

k8s agent that does all the work for you.

KGPT

KGPT, or Kubernetes General Purpose Tasker, is a cutting-edge Kubernetes agent designed to simplify and streamline the management of complex and manual tasks within your Kubernetes cluster. In the dynamic world of container orchestration and cloud-native computing, KGPT emerges as a powerful ally, offering automation and intelligence to help you efficiently handle a wide range of tasks, from deployment and scaling to monitoring and troubleshooting. This innovative agent is engineered to alleviate the burden of manual interventions, enhancing the agility and reliability of your Kubernetes infrastructure. With KGPT at your side, you can confidently navigate the intricate landscape of Kubernetes, ensuring optimal performance and resource utilization while freeing up valuable time for more strategic endeavors.

Install

Prerequisites

• You already setup an k8s cluster locally or on the cloud, and kubectl is working normally
• You need Python and pip installed
• openAI GPT-4 API key ready

Supported python version 3.8 | 3.9 | 3.10 | 3.11

pip install kgpt

Example

1. call the setup command to enter your GPT-4 api-key

kgpt setup

2. Now try a few command, like setup an deployment and a service.

kgpt chat "create an deployment called mynginx, image name is nginx, three replicas, expose port 80"

After a few seconds you should see the following output if everything is executed successfully.

user_proxy (to assistant):

exitcode: 0 (execution succeeded)
Code output: 
deployment.apps/mynginx created

service/mynginx exposed

3. We can also modify a resource in the cluster, let's change the mynginx service target port to 8001

kgpt chat "Change mynginx service's target port to 8001"

If everything is executed successfully, you should see the following output

exitcode: 0 (execution succeeded)
Code output: 
service/mynginx patched

4. Now let's delete the resource we just created.

kgtp chat "delete mynginx deployment and service"

You should be able to see the following output, if everything is executed successfully.

user_proxy (to assistant):

exitcode: 0 (execution succeeded)
Code output: 
deployment.apps "mynginx" deleted
service "mynginx" deleted