 OpenAI Classification Action
 OpenAI Classification Action
Provided by: "Apache Software Foundation"
Support Level for this Kamelet is: "Preview"
Classifies a sentence using the OpenAI API.
It requires an OpenAI account (beta accounts available at https://beta.openai.com/).
Training data for classification can be provided in advance by uploading a file with purpose="classifications", see: https://beta.openai.com/docs/api-reference/files/upload.
The Kamelet accepts data in:
- 
text/plainformat (default)
- 
application/jsonformat: see reference at https://beta.openai.com/docs/api-reference/classifications/create
Configuration Options
The following table summarizes the configuration options available for the openai-classification-action Kamelet:
| Property | Name | Description | Type | Default | Example | 
|---|---|---|---|---|---|
| authorizationToken * | Authorization Token | The authorization token to use to contact the openAI API | string | ||
| engine | Engine | The OpenAI engine to use | string | 
 | |
| file | Examples File | The ID of an uploaded file containing examples for classification | string | 
 | |
| format | Format | The response format ('text/plain' or 'application/json' are supported) | string | 
 | 
| Fields marked with (*) are mandatory. | 
Usage
This section summarizes how the openai-classification-action can be used in various contexts.
Knative Action
The openai-classification-action Kamelet can be used as intermediate step in a Knative binding.
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: openai-classification-action-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: timer-source
    properties:
      message: "Hello"
  steps:
  - ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: openai-classification-action
    properties:
      authorizationToken: "The Authorization Token"
  sink:
    ref:
      kind: Channel
      apiVersion: messaging.knative.dev/v1
      name: mychannelMake sure you have Camel K installed into the Kubernetes cluster you’re connected to.
Save the openai-classification-action-binding.yaml file into your hard drive, then configure it according to your needs.
You can run the action using the following command:
kubectl apply -f openai-classification-action-binding.yamlDependencies
The Kamelet needs the following dependencies:
- 
github:apache.camel-kamelets:camel-kamelets-utils:main-SNAPSHOT 
- 
camel:jackson 
- 
camel:jsonpath 
- 
camel:core 
- 
camel:kamelet 
- 
camel:http 
Binding to Knative using the Kamel CLI:
The procedure described above can be simplified into a single execution of the kamel bind command:
kamel bind timer-source?message=Hello --step openai-classification-action -p "step-0.authorizationToken=The Authorization Token" channel:mychannelThis will create the KameletBinding under the hood and apply it to the current namespace in the cluster.
Kafka Action
The openai-classification-action Kamelet can be used as intermediate step in a Kafka binding.
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: openai-classification-action-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: timer-source
    properties:
      message: "Hello"
  steps:
  - ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: openai-classification-action
    properties:
      authorizationToken: "The Authorization Token"
  sink:
    ref:
      kind: KafkaTopic
      apiVersion: kafka.strimzi.io/v1beta1
      name: my-topicEnsure that you’ve installed Strimzi and created a topic named my-topic in the current namespace.
Make also sure you have Camel K installed into the Kubernetes cluster you’re connected to.
Save the openai-classification-action-binding.yaml file into your hard drive, then configure it according to your needs.
You can run the action using the following command:
kubectl apply -f openai-classification-action-binding.yamlBinding to Kafka using the Kamel CLI:
The procedure described above can be simplified into a single execution of the kamel bind command:
kamel bind timer-source?message=Hello --step openai-classification-action -p "step-0.authorizationToken=The Authorization Token" kafka.strimzi.io/v1beta1:KafkaTopic:my-topicThis will create the KameletBinding under the hood and apply it to the current namespace in the cluster.