kubernetes-client VS openai-java

While that is true I‘d like to suggest taking a look at this client: https://github.com/fabric8io/kubernetes-client

I am trying to program the patching/rolling upgrade of k8s apps by taking deployment snippets as input. I use patch() method to apply the snippet onto an existing deployment as part of rollingupdate using fabric8io's k8s client APIS.. Fabric8.io kubernetes-client version 4.10.1I'm also using some loadYaml helper methods from kubernetes-api 3.0.12.

This approach works fine on our DIND-Kubernetes environment. However, when tried to port the deployment onto a Docker-EE Kubernetes environment we ran into trouble because the command kubectl label pod generates a run time error which is completely misleading (also see https://github.com/fabric8io/kubernetes-client/issues/853).

To be specific, I am trying to use https://github.com/fabric8io/kubernetes-client/tree/master/crd-generator in scala code. If it is only duplicating one class or so, that seems manageable. But if I need to rewrite everything I am less confident

In terms of spinning up and managing everything, like, the stuff that's not Java apps. But some of the old fabric8 work - the predecessor to jKube - provides Java APIs and utilities to doing things like writing kubernetes operators in Java. Check out the kubernetes-client project. A lot of people never even learn about kubernetes operators, and just think "I have a service, la la la" plug their ears and then assume there will be some magic operational team that will deploy some service mesh app to solve all their problems.

Fabric8 is a very good Solution. I played also with k8s provided solution but especially custom resource definitions are a hell. I can recommend fabric8 it’s also used in operators like strimzi https://github.com/fabric8io/kubernetes-client

As the name says, this article is all about how to Cancel TaskRuns in Tekton using the Fabric8 Tekton client. You can see the latest example code here

Can the service account token, be used programmtically e.g., using https://github.com/fabric8io/kubernetes-client ?

Take a look at https://github.com/TheoKanning/openai-java/blob/main/service/src/main/java/com/theokanning/openai/service/FunctionExecutor.java

First, we need to set up a new Spring Boot application. You can use Spring Initializr to generate a new Maven project with the necessary dependencies. For this tutorial, we will need the Spring Boot Starter Web dependency. To integrate the ChatGPT API, we will use the OpenAI Java client. There is an open-source community Java library. It provides service classes that create and calls the OpenAI's GPT APIs client in Java. Of course, you can write your own implementation in Spring that interacts with OpenAI APIs too. See other client libraries for different programming languages.

The openai-java has 3 modules that the developers can use, and I needed all of them to fulfil the requirements.

implementation 'com.theokanning.openai-gpt3-java:service:0.12.0' // https://github.com/TheoKanning/openai-java

The Botz library adds to the already rich and extensible Openfire with the ability to create internal user bots. With the Botz library, programmers may choose to develop a virtual user or a chatbot as a plugin. Although Openfire does not really distinguish this virtual user from the real users, one could intercept messages to the chatBot from your users, and be able to respond per your needs. An example would be to integrate the Botz library with the relatively new OpenAI Java SDK to provide an AI chatBot or a ChatGPT experience for your Openfire users.

I am thinking to do something with openai this is a java lib.i found in the docs https://github.com/TheoKanning/openai-java but i have no further experience.