If you want to have more information on AI Endpoints, please read the following blog post.
You can, also, have a look at our previous blog posts on how use AI Endpoints.
In a previous blog post we explained how to use Continue with VSCode to create a code assistant with AI Endpoints.
In this blog post, we will explain how to use Kilo Code with VSCode to create a powerful coder companion! If you need more information about Kilo Code, please check out the official Kilo Code documentation.
How to use AI Endpoints with Kilo Code?
The first thing is to install the extension in your VSCode. See the official documentation to see how to do that.
Once the extension is installed, you need to configure an external provider. To do this choose a OpenAI Compatible Providers as explained in the documentation.
ℹ️ AI Endpoints URLs are OpenAI compatible to make easier its integration in a lot of products 😉.
Here is the values for the Kilo Code parameters to set to use it with AI Endpoints:
– API Provider: OpenAI Compatible
– Base URL: https://oai.endpoints.kepler.ai.cloud.ovh.net/v1
– API Key: … your API Key 😇
– Model: Qwen2.5-Coder-32B-Instruct (this is one of our coder model at the time I wrote the blog post, fell free to take another available model)
– Contexte Windows Size: 32000 (must be lower or equal than the specified model’s context window size)
Don’t modify the other fields.
⚠️ At the time that I wrote this blog post, the autocomplete feature is not available for external providers. Check the release notes to be informed when this feature will be available with external providers. ⚠️
And that’s all, you can enjoy the power of Kilo Code with AI Endpoints! 🚀
Don’t hesitate to test our new product, AI Endpoints, and give us your feedback.
You have a dedicated Discord channel (#ai-endpoints) on our Discord server (https://discord.gg/ovhcloud), see you there!
Once a developer, always a developer!
Java developer for many years, I have the joy of knowing JDK 1.1, JEE, Struts, ... and now Spring, Quarkus, (core, boot, batch), Angular, Groovy, Golang, ...
For more than ten years I was a Software Architect, a job that allowed me to face many problems inherent to the complex information systems in large groups.
I also had other lives, notably in automation and delivery with the implementation of CI/CD chains based on Jenkins pipelines.
I particularly like sharing and relationships with developers and I became a Developer Relation at OVHcloud.
This new adventure allows me to continue to use technologies that I like such as Kubernetes or AI for example but also to continue to learn and discover a lot of new things.
All the while keeping in mind one of my main motivations as a Developer Relation: making developers happy.
Always sharing, I am the co-creator of the TADx Meetup in Tours, allowing discovery and sharing around different tech topics.