# Server Interface (REST API) The Lemonade SDK offers a server interface that allows your application to load an LLM on Ryzen AI hardware in a process, and then communicate with this process using standard `REST` APIs. This allows applications written in any language (C#, JavaScript, Python, C++, etc.) to easily integrate with Ryzen AI LLMs. Server interfaces are used across the LLM ecosystem because they allow for no-code plug-and-play between the higher level of the application stack (GUIs, agents, RAG, etc.) with the LLM and hardware that have been abstracted by the server. For more information, see the [Understanding local LLM Servers Guide](https://lemonade-server.ai/docs/server/concepts/). For example, open source projects such as [Open WebUI](#open-webui-demo) have out-of-box support for connecting to a variety of server interfaces, which in turn allows users to quickly start working with LLMs in a GUI. ## Server Setup Lemonade Server can be installed via the Lemonade Server Installer executable by following these steps: 1. Make sure your system has the recommended Ryzen AI driver installed as described in [Install NPU Drivers](https://ryzenai.docs.amd.com/en/latest/linux.html#install-driver). 2. Download and install `Lemonade_Server_Installer.exe` from the [latest Lemonade release](https://github.com/lemonade-sdk/lemonade/releases). 3. Launch the server by double-clicking the `lemonade_server` shortcut added to your desktop. For a visual walkthrough of this process, watch our Lemonade Introductory Video: See the [Lemonade Server Documentation](https://lemonade-server.ai/docs/) for more details. ## Server Usage The Lemonade Server provides the following OpenAI-compatible endpoints: - POST `/api/v1/chat/completions` - Chat Completions (messages to completions) - POST `/api/v1/completions` - Text Completions (prompt to completion) - POST `/api/v1/responses` - Chat Completions (prompt|messages -> event) - GET `/api/v1/models` - List available models Please refer to the [server specification](https://lemonade-server.ai/docs/server/server_spec/) document for details about the request and response formats for each endpoint. The [OpenAI API documentation](https://platform.openai.com/docs/guides/streaming-responses?api-mode=chat) also has code examples for integrating streaming completions into an application. ### Supported Applications The Lemonade Server supports a variety of applications that can connect to it using the OpenAI API. Some of the applications that have been tested with Lemonade Server can be found at [Lemonade Server Apps](https://lemonade-server.ai/docs/server/apps/). A short list of applications that have been tested with Lemonade Server includes: [](https://lemonade-server.ai/docs/server/apps/open-webui/) [](https://lemonade-server.ai/docs/server/apps/continue/) [](https://github.com/amd/gaia) [](https://lemonade-server.ai/docs/server/apps/anythingLLM/) [](https://lemonade-server.ai/docs/server/apps/ai-dev-gallery/) [](https://lemonade-server.ai/docs/server/apps/lm-eval/) [](https://lemonade-server.ai/docs/server/apps/codeGPT/) [](https://github.com/lemonade-sdk/lemonade/blob/main/docs/server/apps/ai-toolkit.md) ## Next Steps - See [Lemonade Server Examples](https://lemonade-server.ai/docs/server/apps/) to find applications that have been tested with Lemonade Server. - Check out the [Lemonade Server specification](https://lemonade-server.ai/docs/server/server_spec/) to learn more about supported features. - Try out your Lemonade Server install with any application that uses the OpenAI chat completions API.