openai-java VS ctop

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.

This does remind me of ctop as well: https://github.com/bcicen/ctop

It also let's you look at containers, resource usage graphs, their logs and even do some actions through a TUI.

ssh, nnn, micro and ctop is all I need on my dockerhosts

My problem with ctop is, that it seems to show wrong memory usage data: https://github.com/bcicen/ctop/issues/314

When talk about interface and cli... I am a huge fan of ctop

You can use CTOP. It's like a lite portainer on CLI. You can check logs, stats, restart containers.

In the terminal, there are also a few useful projects:

  - for Docker, there is ctop: https://github.com/bcicen/ctop

> I tried portainer, awful UX experience and all good features are inside paid version.

This is interesting to me, because it doesn't quite match my experience - I've been using Portainer for around 3 years at this point and it's been pretty decent.

The worst issues that I've gotten is networking issues in some hybrid configurations with Docker Swarm (e.g. Portainer cannot reach the manager node of the cluster for a bit), or troubles configuring Traefik ingresses when managing Kubernetes (though I think the recent patch notes talked about improving the ingress section, so maybe the experience will get better with non-Nginx ingresses).

Other than that, it's been great for onboarding new people, illustrating the cluster state at a glance, easily operating with stacks and scaling/restarting services as needed, including pulling new images, viewing the logs or even connecting to containers through a web UI if need be. The webhook functionality in particular is really nice - you can just do a curl request against a given URL and that will pull the new container versions for the given image and do a redeploy, which works nicely with a variety of CI solutions.

When I last tried, initializing Nomad clusters with networking encryption was a bit less of a smooth experience (needing to essentially manage your own PKI) and the web UI felt more like a dashboard, instead of something that you could click around in, if you're a proponent of that workflow.

Rancher is probably better than both of those options, though there's a certain overhead in regards to running both that software and a full Kubernetes cluster. If Kubernetes feels like a good fit for a particular project and resources aren't an issue, definitely check it out! You can, of course, also have some success with lightweight clusters, like K3s: https://k3s.io/

I'll definitely agree that Lazydocker is a nice tool, but I wouldn't call it superior, just different (TUI vs GUI), their demo video is nice though: https://youtu.be/NICqQPxwJWw

It actually reminds me of ctop, which you might also want to check out, though it's not something that you'd manage clusters in, merely the individual containers on a node (which won't always be enough, same as Docker Compose isn't): https://github.com/bcicen/ctop

Regardless, for Kubernetes, I'm inclined to say that you'd enjoy k9s a bunch then, it has a similar TUI approach: https://k9scli.io/