> ## 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.

# Cline

> Configure the Cline VS Code extension to use LLM Router for intelligent routing, Skills, Zero Data Retention, context optimization, and cost-effective coding.

***

## 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.

# Cline Integration

Cline is a powerful VS Code extension that allows you to use AI models directly in your editor for code generation, file operations, refactoring, debugging, and more.

By connecting Cline to **LLM Router**, you get 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 Cline Plugin

1. Open VS Code.
2. Click the **Extensions** icon on the left sidebar.
3. Search for **`cline`** in the marketplace.
4. Find and install the **Cline** extension.
5. After installation, trust the developer when prompted.

## Step 2: Configuring LLM Router in Cline

1. Open the Cline settings panel.
2. Select **Use your own API Key**.
3. Fill in the following configuration:

   * **API Provider**: Select **`OpenAI Compatible`**
   * **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 model supported by LLM Router, for example:
     * `anthropic/claude-opus-4.6`
     * `openai/gpt-5.4`
     * `google/gemini-3.1-pro`
     * `xai/grok-4.20`

   **Recommended Additional Settings:**

   * **Support Images**: Enable if you need multimodal capabilities (depends on the model)
   * **Context Window Size**: Set to `200000` or higher (LLM Router handles large contexts efficiently)
   * Adjust `temperature` and other parameters based on your task

## Step 3: Configure Routing Settings via Dashboard

For best results, configure your routing preferences in the **LLM Router Dashboard**:

* Log into your LLM Router Dashboard.
* Go to your API keys.
* Set default **tags** (e.g. `coding`, `ui design`, `testing`, `copywriting`), enable relevant **Skills**, turn on **Zero Data Retention (ZDR)**, and configure context optimization.
* These settings will apply automatically to all requests from Cline.

## Step 4: Getting Started

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

* Generating and editing code
* Refactoring and improving existing code
* Explaining complex logic
* Debugging issues
* File creation and project management