Move LiteLLM documentation to proper provider file

- Enhanced docs/providers/litellm.md with comprehensive setup instructions
- Added step-by-step installation and configuration examples
- Included multiple provider configurations (Anthropic, OpenAI, Azure)
- Added two configuration options (LiteLLM provider vs OpenAI Compatible)
- Removed LiteLLM content from docs/getting-started/connecting-api-provider.md
- Maintains clean separation of concerns in documentation structure

Author: hannesrudolph

docs/getting-started/connecting-api-provider.md

@@ -29,49 +29,6 @@ LLM routers let you access multiple AI models with one API key, simplifying cost
 
 *OpenRouter dashboard with "Create key" button. Name your key and copy it after creation.*
 
-#### LiteLLM
-
-[LiteLLM](https://litellm.ai/) is an open-source LLM gateway that provides access to 100+ AI models through a unified OpenAI-compatible API. Set up a self-hosted proxy server to route requests to multiple providers through a single endpoint.
-
-1. Install LiteLLM: `pip install 'litellm[proxy]'`
-
-2. Create a configuration file (`config.yaml`) to define your models:
-   ```yaml
-   model_list:
-     # Configure multiple Anthropic models
-     - model_name: claude-3-7-sonnet
-       litellm_params:
-         model: anthropic/claude-3-7-sonnet-20250219
-         api_key: os.environ/ANTHROPIC_API_KEY
-     
-     # Configure OpenAI models
-     - model_name: gpt-4o
-       litellm_params:
-         model: openai/gpt-4o
-         api_key: os.environ/OPENAI_API_KEY
-     
-     # Configure Azure OpenAI
-     - model_name: azure-gpt-4
-       litellm_params:
-         model: azure/my-deployment-name
-         api_base: https://your-resource.openai.azure.com/
-         api_version: "2023-05-15"
-         api_key: os.environ/AZURE_API_KEY
-   ```
-
-3. Start the LiteLLM proxy server:
-   ```bash
-   # Using configuration file (recommended)
-   litellm --config config.yaml
-   
-   # Or quick start with a single model
-   export ANTHROPIC_API_KEY=your-anthropic-key
-   litellm --model claude-3-7-sonnet-20250219
-   ```
-
-4. The proxy will run at `http://0.0.0.0:4000` by default
-
-
 #### Requesty
 
 1. Go to [requesty.ai](https://requesty.ai/)
@@ -121,11 +78,6 @@ Once you have your API key:
 4. Select your model:
    - For **OpenRouter**: select `anthropic/claude-3.7-sonnet` ([model details](https://openrouter.ai/anthropic/claude-3.7-sonnet))
    - For **Anthropic**: select `claude-3-7-sonnet-20250219` ([model details](https://www.anthropic.com/pricing#anthropic-api))
-   - For **LiteLLM**: 
-     - Set the API provider to "OpenAI Compatible"
-     - Enter your proxy URL (e.g., `http://localhost:4000`)
-     - Use any string as the API key (e.g., "sk-1234")
-     - Select the model name you configured in your `config.yaml`
 
 :::info Model Selection Advice
 We strongly recommend **Claude 3.7 Sonnet** for the best experience—it generally "just works" out of the box. Roo Code has been extensively optimized for this model's capabilities and instruction-following behavior.

docs/providers/litellm.md

@@ -23,18 +23,63 @@ LiteLLM is a versatile tool that provides a unified interface to over 100 Large
 
 To use LiteLLM with Roo Code, you first need to set up and run a LiteLLM server.
 
-1.  **Installation:** Follow the official [LiteLLM installation guide](https://docs.litellm.ai/docs/proxy_server) to install LiteLLM and its dependencies.
-2.  **Configuration:** Configure your LiteLLM server with the models you want to use. This typically involves setting API keys for the underlying providers (e.g., OpenAI, Anthropic) in your LiteLLM server's configuration.
-3.  **Start the Server:** Run your LiteLLM server. By default, it usually starts on `http://localhost:4000`.
-    *   You can also configure an API key for your LiteLLM server itself for added security.
-
-Refer to the [LiteLLM documentation](https://docs.litellm.ai/docs/) for detailed instructions on server setup, model configuration, and advanced features.
+### Installation
+
+1. Install LiteLLM with proxy support:
+   ```bash
+   pip install 'litellm[proxy]'
+   ```
+
+### Configuration
+
+2. Create a configuration file (`config.yaml`) to define your models and providers:
+   ```yaml
+   model_list:
+     # Configure Anthropic models
+     - model_name: claude-3-7-sonnet
+       litellm_params:
+         model: anthropic/claude-3-7-sonnet-20250219
+         api_key: os.environ/ANTHROPIC_API_KEY
+     
+     # Configure OpenAI models
+     - model_name: gpt-4o
+       litellm_params:
+         model: openai/gpt-4o
+         api_key: os.environ/OPENAI_API_KEY
+     
+     # Configure Azure OpenAI
+     - model_name: azure-gpt-4
+       litellm_params:
+         model: azure/my-deployment-name
+         api_base: https://your-resource.openai.azure.com/
+         api_version: "2023-05-15"
+         api_key: os.environ/AZURE_API_KEY
+   ```
+
+### Starting the Server
+
+3. Start the LiteLLM proxy server:
+   ```bash
+   # Using configuration file (recommended)
+   litellm --config config.yaml
+   
+   # Or quick start with a single model
+   export ANTHROPIC_API_KEY=your-anthropic-key
+   litellm --model claude-3-7-sonnet-20250219
+   ```
+
+4. The proxy will run at `http://0.0.0.0:4000` by default (accessible as `http://localhost:4000`).
+   *   You can also configure an API key for your LiteLLM server itself for added security.
+
+Refer to the [LiteLLM documentation](https://docs.litellm.ai/docs/) for detailed instructions on advanced server configuration and features.
 
 ---
 
 ## Configuration in Roo Code
 
-Once your LiteLLM server is running:
+Once your LiteLLM server is running, you have two options for configuring it in Roo Code:
+
+### Option 1: Using the LiteLLM Provider (Recommended)
 
 1.  **Open Roo Code Settings:** Click the gear icon (<Codicon name="gear" />) in the Roo Code panel.
 2.  **Select Provider:** Choose "LiteLLM" from the "API Provider" dropdown.
@@ -50,6 +95,16 @@ Once your LiteLLM server is running:
     *   Use the refresh button to update the model list if you've added new models to your LiteLLM server.
     *   If no model is selected, Roo Code defaults to `anthropic/claude-3-7-sonnet-20250219` (this is `litellmDefaultModelId`). Ensure this model (or your desired default) is configured and available on your LiteLLM server.
 
+### Option 2: Using OpenAI Compatible Provider
+
+Alternatively, you can configure LiteLLM using the "OpenAI Compatible" provider:
+
+1.  **Open Roo Code Settings:** Click the gear icon (<Codicon name="gear" />) in the Roo Code panel.
+2.  **Select Provider:** Choose "OpenAI Compatible" from the "API Provider" dropdown.
+3.  **Enter Base URL:** Input your LiteLLM proxy URL (e.g., `http://localhost:4000`).
+4.  **Enter API Key:** Use any string as the API key (e.g., `"sk-1234"`) since LiteLLM handles the actual provider authentication.
+5.  **Select Model:** Choose the model name you configured in your `config.yaml` file.
+
 <img src="/img/litellm/litellm.png" alt="Roo Code LiteLLM Provider Settings" width="600" />
 
 ---
@@ -82,6 +137,7 @@ Roo Code uses default values for some of these properties if they are not explic
 ## Tips and Notes
 
 *   **LiteLLM Server is Key:** The primary configuration for models, API keys for downstream providers (like OpenAI, Anthropic), and other advanced features are managed on your LiteLLM server. Roo Code acts as a client to this server.
+*   **Configuration Options:** You can use either the dedicated "LiteLLM" provider (recommended) for automatic model discovery, or the "OpenAI Compatible" provider for simple manual configuration.
 *   **Model Availability:** The models available in Roo Code's "Model" dropdown depend entirely on what your LiteLLM server exposes through its `/v1/model/info` endpoint.
 *   **Network Accessibility:** Ensure your LiteLLM server is running and accessible from the machine where VS Code and Roo Code are running (e.g., check firewall rules if not on `localhost`).
 *   **Troubleshooting:** If models aren't appearing or requests fail: