> ## Documentation Index
> Fetch the complete documentation index at: https://docs.scitix.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Kilo Code

[Kilo Code](https://github.com/Kilo-Org/kilocode) is an open-source AI coding agent for VS Code, JetBrains, and the CLI, combining features from Cline and Roo. Its **OpenAI Compatible** provider accepts a custom Base URL and auto-fetches the model list, so it can run on the ScitiX Model Inference API.

Supported models include `glm-5.2` and `MiniMaxAI/MiniMax-M2.7`. For the full model list and pricing, see the [model catalog](https://console.scitix.ai/model-inference/models).

## Configure

Create an API Key on the [API Keys](https://console.scitix.ai/model-inference/api_keys) page first.

1. Click the Kilo Code icon in the sidebar, then open **Settings (⚙️) → Providers**.

2. Under **API Provider**, select **OpenAI Compatible**.

3. Fill in the required fields.

   | Field    | Value                                                                                            |
   | -------- | ------------------------------------------------------------------------------------------------ |
   | Base URL | `https://api.scitix.ai/model-api/v1`                                                             |
   | API Key  | Your API Key created on the [API Keys](https://console.scitix.ai/model-inference/api_keys) page. |
   | Model    | `glm-5.2`                                                                                        |

4. Kilo Code fetches the model list from `https://api.scitix.ai/model-api/v1/models` automatically. Select `glm-5.2`, or another model, from the searchable **Model** dropdown.

   If the fetch fails, type the model ID manually.

5. Click **Save**.

   Configurations are stored in a **Configuration Profile**, such as `default`, so you can save the ScitiX setup and switch providers quickly.

<img src="https://mintcdn.com/scitix-adfc65c2/_I6H7WpAVXPiLIwE/model-inference/media/kilo-provider-config.png?fit=max&auto=format&n=_I6H7WpAVXPiLIwE&q=85&s=1ed911fd211278fa9edf7e9b992114d5" alt="Kilo Code — OpenAI Compatible provider with ScitiX Base URL and model" style={{ width: "60%", height: "auto" }} width="852" height="1090" data-path="model-inference/media/kilo-provider-config.png" />

## Verify

Give Kilo Code a coding task, such as "create two sum code with python", with the ScitiX model selected. It plans the task and asks to create or edit files. Approve with **Save**. A normal reply confirms that the connection works.

<img src="https://mintcdn.com/scitix-adfc65c2/43gGw0_j4ULBL8e8/model-inference/media/kilo-tool-call.png?fit=max&auto=format&n=43gGw0_j4ULBL8e8&q=85&s=f6dd62da9c9a17d947ef4439798ba4b3" alt="Kilo Code — creating a file from a coding task" width="2392" height="1530" data-path="model-inference/media/kilo-tool-call.png" />

## FAQ

* **Empty model dropdown**: the `GET /v1/models` fetch failed. Check the Base URL with the `/v1` suffix and the API Key, or type the model ID manually.
* **Model does not act / no tool calls**: choose a model with native tool calling. The provider page shows model capabilities such as **Supports images** after selection.