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

# Kilo Code

> Configure the Kilo Code VS Code extension to use LLM Router for intelligent routing, Skills, Zero Data Retention, context optimization, and powerful AI-assisted development.

***

## Documentation Index

Fetch the complete documentation index at:\
**[https://docs.llmrouter.app/llms.txt](https://docs.llmrouter.app/llms.txt)**

Use this file to discover all available models, tags, and features before exploring further.

# Kilo Code Integration

Kilo Code is a powerful VS Code plugin with support for MCP (Model Context Protocol). It enables you to generate code, debug, refactor, and manage projects directly within your editor — delivering a faster and more intelligent development experience.

Connecting Kilo Code to **LLM Router** gives you access to intelligent tag-based routing, automatic Skill injection, aggressive context optimization, Zero Data Retention (ZDR), and significant cost savings.

<Warning>
  **Note:** When using LLM Router, always use the main gateway endpoint instead
  of any provider-specific URLs.
</Warning>

## Step 1: Installing the Kilo Code Plugin

### 1. Open the Extensions Marketplace

* Launch VS Code
* Click the **Extensions** icon on the left sidebar
* Search for **`Kilo Code`**
* Locate and select the **Kilo Code** plugin

### 2. Install the Plugin

* Click the **Install** button
* After installation, trust the developer when prompted

## Step 2: Configuring LLM Router in Kilo Code

### 1. Select API Key Authentication

Choose **`Use your own API key`**.

### 2. Enter Configuration Details

Fill in the following settings:

* **API Provider**: Select **`OpenAI Compatible`** (or **OpenAI** if available)
* **Base URL**: Enter\
  `https://api.llmrouter.app/v1`
* **API Key**: Paste your **LLM Router API Key** (`sk_llmr_...`)
* **Model**: Select **"Use custom"** and enter any supported model, for example:
  * `anthropic/claude-opus-4.6`
  * `openai/gpt-5.4`
  * `google/gemini-3.1-pro`
  * `xai/grok-4.20`

**Recommended Settings:**

* Set a large **Context Window Size** (e.g. `200000` or higher)
* Enable **Support Images** if you plan to use multimodal models
* Adjust `temperature` and other parameters according to your workflow

> **Tip:** For best performance, configure your routing rules, tags (e.g. `coding`, `testing`, `ui design`), Skills, and Zero Data Retention (ZDR) directly in the **LLM Router Dashboard**. These settings will apply automatically to all requests from Kilo Code.

## Step 3: Getting Started

Once configured, you can start using Kilo Code with LLM Router for:

* Code generation and refactoring
* Debugging and code explanation
* Project analysis and documentation
* Database and SQL-related tasks
* General development assistance