$ kubectl-ai "create an nginx deployment with 3 replicas" --kubeconfig="{path}/{to}/config"
✨ Attempting to apply the following manifest: 
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.7.9
        ports:
        - containerPort: 80
✔ Apply
Error: Get "https://127.0.0.1:49355/api": dial tcp 127.0.0.1:49355: connect: connection refused
Usage:
  kubectl-ai [flags]

Flags:
      --as string                       Username to impersonate for the operation. User could be a regular user or a service account in a namespace.
      --as-group stringArray            Group to impersonate for the operation, this flag can be repeated to specify multiple groups.
      --as-uid string                   UID to impersonate for the operation.
      --azure-openai-endpoint string    The endpoint for Azure OpenAI service. If provided, Azure OpenAI service will be used instead of OpenAI service.
      --cache-dir string                Default cache directory (default "/Users/mzc01-glee/.kube/cache")
      --certificate-authority string    Path to a cert file for the certificate authority
      --client-certificate string       Path to a client certificate file for TLS
      --client-key string               Path to a client key file for TLS
      --cluster string                  The name of the kubeconfig cluster to use
      --context string                  The name of the kubeconfig context to use
      --disable-compression             If true, opt-out of response compression for all requests to the server
  -h, --help                            help for kubectl-ai
      --insecure-skip-tls-verify        If true, the server's certificate will not be checked for validity. This will make your HTTPS connections insecure
      --kubeconfig string               Path to the kubeconfig file to use for CLI requests.
  -n, --namespace string                If present, the namespace scope for this CLI request
      --openai-api-key string           The API key for the OpenAI service. This is required. (default "***")
      --openai-deployment-name string   The deployment name used for the model in OpenAI service. (default "text-davinci-003")
      --request-timeout string          The length of time to wait before giving up on a single server request. Non-zero values should contain a corresponding time unit (e.g. 1s, 2m, 3h). A value of zero means don't timeout requests. (default "0")
      --require-confirmation            Whether to require confirmation before executing the command. Defaults to true. (default true)
  -s, --server string                   The address and port of the Kubernetes API server
      --temperature float               The temperature to use for the model. Range is between 0 and 1. Set closer to 0 if your want output to be more deterministic but less creative. Defaults to 0.0.
      --tls-server-name string          Server name to use for server certificate validation. If it is not provided, the hostname used to contact the server is used
      --token string                    Bearer token for authentication to the API server
      --user string                     The name of the kubeconfig user to use
  -v, --version                         version for kubectl-ai

Get "https://127.0.0.1:49355/api": dial tcp 127.0.0.1:49355: connect: connection refused