diff --git a/README.md b/README.md
index 3904547c..727b56dd 100644
--- a/README.md
+++ b/README.md
@@ -9,6 +9,7 @@
This Operator is designed to enable [K8sGPT](https://github.com/k8sgpt-ai/k8sgpt/) within a Kubernetes cluster.
It will allow you to create a custom resource that defines the behaviour and scope of a managed K8sGPT workload. Analysis and outputs will also be configurable to enable integration into existing workflows.
+
## Installation
@@ -19,8 +20,6 @@ helm install release k8sgpt/k8sgpt-operator -n k8sgpt-operator-system --create-n
## Run the example
-
-
1. Install the operator from the [Installation](#installation) section.
2. Create secret:
@@ -62,19 +61,52 @@ you will be able to see the Results objects of the analysis after some minutes (
{
"apiVersion": "core.k8sgpt.ai/v1alpha1",
"kind": "Result",
- "metadata": {
- "creationTimestamp": "2023-04-26T09:45:02Z",
- "generation": 1,
- "name": "placementoperatorsystemplacementoperatorcontrollermanagermetricsservice",
- "namespace": "default",
- "resourceVersion": "108371",
- "uid": "f0edd4de-92b6-4de2-ac86-5bb2b2da9736"
- },
"spec": {
"details": "The error message means that the service in Kubernetes doesn't have any associated endpoints, which should have been labeled with \"control-plane=controller-manager\". \n\nTo solve this issue, you need to add the \"control-plane=controller-manager\" label to the endpoint that matches the service. Once the endpoint is labeled correctly, Kubernetes can associate it with the service, and the error should be resolved.",
```
-## LocalAI Example
+## Other AI Backend Examples
+
+
+
+AzureOpenAI
+
+1. Install the operator from the [Installation](#installation) section.
+
+2. Create secret:
+```sh
+kubectl create secret generic k8sgpt-sample-secret --from-literal=azure-api-key=$AZURE_TOKEN -n k8sgpt-
+operator-system
+```
+
+3. Apply the K8sGPT configuration object:
+```
+kubectl apply -f - << EOF
+apiVersion: core.k8sgpt.ai/v1alpha1
+kind: K8sGPT
+metadata:
+ name: k8sgpt-sample
+ namespace: k8sgpt-operator-system
+spec:
+ model: gpt-35-turbo
+ backend: azureopenai
+ baseUrl: https://k8sgpt.openai.azure.com/
+ engine: llm
+ noCache: false
+ version: v0.3.2
+ enableAI: true
+ secret:
+ name: k8sgpt-sample-secret
+ key: azure-api-key
+EOF
+```
+
+
+
+
+
+LocalAI
+
1. Install the operator from the [Installation](#installation) section.
@@ -99,18 +131,8 @@ EOF
4. Same as step 4. in the example above.
-## Architecture
-
-
+
## Helm values
-Here is an example of some of the values that can be configured.
-For more details please see [here](chart/values.yaml)
-| Parameter | Description | Default |
-| --------- | ----------- | ------- |
-| `serviceMonitor.enabled` | Enable Prometheus Operator ServiceMonitor | `false` |
-| `controllerManager.manager.image.repository` | Image repository | `k8sgpt/k8sgpt-operator` |
-| `controllerManager.manager.image.pullPolicy` | Image pull policy | `IfNotPresent` |
-| `controllerManager.manager.imagePullSecrets` | Image pull secrets | `[]` |
-
+For details please see [here](chart/values.yaml)