GitHub Copilot is great, but somehow I get better results and a nicer UX/DX with OpenCode. It integrates with all the models I have available via GitHub Copilot and more.
There’s also a great ecosystem around this software and the documentation is quite good as well. The Awesome OpenCode repository lists quite a few useful tools, plugins and agents. Currently, I use the Smart Title Plugin and Open Agents Control, but Oh My OpenCode also has my interest even though it has a bit of overlap.

All of this is awesome and greatly enhances my joy in creating solutions during my dayjob and side projects. However, it does cost quite a bit of (premium) requests. Especially when using the rather expensive (and good) models.

What is great about OpenCode is you can connect it to your models deployed in Azure too!
This way, when your premium requests are all used up, you can use a GPT-Codex or Kimi model deployed in your own environment. Or even when you do still have premium requests available, you can offload your questions to a model of your choice.

When I was searching for the correct configuration I couldn’t find the correct documentation for this, so decided to post it over here.
If you have OpenCode installed, there should be a folder with an opencode.json file on your system. On a Mac it’s at ~/.config/opencode/opencode.json. In this file you can add a property called providers, if it doesn’t exist already, and configure your models.

For those of you who are reading my posts from time to time, you probably know one of my side projects is a URL minifier solution. It’s one of those services which I’ve created to learn about specific Azure services. I’m still making improvements to it and sometimes adding new features to it altogether.
With the focus on AI and large language models in just about everything nowadays, it is time for me to add it to the URL minifier too.

The feature

In essence, a URL minifier only has one job. That is to take a slug and redirect the user to the full URL which belongs to it. Simple enough.

What I like to see in this service, is a summarization feature.
This way, as a user, I don’t need to read the full site but a summary might suffice. This is also a nice ‘Hello World’-implementation to get started in the Open AI and large language models ecosystem.

What to use?

To get started you need a service that offers a large language model, like the public one offered by Open AI which you might know from ChatGPT.
There’s also the Azure Open AI service, which offers pretty much the same capabilities. Or at least that is my understanding, and I’m only starting so might be wrong on that statement. I’m using this one because it’s the service which I’ll be using during my daily work too.