OpenAI Completion Action
Provided by: "Apache Software Foundation"
Support Level for this Kamelet is: "Preview"
Completes a sentence using the OpenAI API.
It requires an OpenAI account (beta accounts available at https://beta.openai.com/).
The Kamelet accepts data in:
-
text/plain
format (default) -
application/json
format: see reference at https://beta.openai.com/docs/api-reference/completions/create
Configuration Options
The following table summarizes the configuration options available for the openai-completion-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 |
|
|
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-completion-action
can be used in various contexts.
Knative Action
The openai-completion-action
Kamelet can be used as intermediate step in a Knative binding.
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
name: openai-completion-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-completion-action
properties:
authorizationToken: "The Authorization Token"
sink:
ref:
kind: Channel
apiVersion: messaging.knative.dev/v1
name: mychannel
Make sure you have Camel K installed into the Kubernetes cluster you’re connected to.
Save the openai-completion-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-completion-action-binding.yaml
Dependencies
The Kamelet needs the following dependencies:
-
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-completion-action -p "step-0.authorizationToken=The Authorization Token" channel:mychannel
This will create the KameletBinding under the hood and apply it to the current namespace in the cluster.
Kafka Action
The openai-completion-action
Kamelet can be used as intermediate step in a Kafka binding.
apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
name: openai-completion-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-completion-action
properties:
authorizationToken: "The Authorization Token"
sink:
ref:
kind: KafkaTopic
apiVersion: kafka.strimzi.io/v1beta1
name: my-topic
Ensure 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-completion-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-completion-action-binding.yaml
Binding 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-completion-action -p "step-0.authorizationToken=The Authorization Token" kafka.strimzi.io/v1beta1:KafkaTopic:my-topic
This will create the KameletBinding under the hood and apply it to the current namespace in the cluster.