Show HN: vLLM Studio – Web UI to manage vLLM/SGLang inference servers at home (github.com)

vLLM Studio has been introduced as a web-based interface for managing vLLM and SGLang inference servers, enabling users to launch and control models from the comfort of their homes. This tool includes model lifecycle management features, allowing for the creation and deployment of reusable model configurations, known as "recipes," which can be easily modified and updated. Additionally, it supports automatic reasoning detection for various models like GLM, INTELLECT-3, and MiniMax, enhancing the overall adaptability and efficiency of AI inference tasks. The significance of vLLM Studio lies in its user-friendly approach to model management, making sophisticated AI deployments more accessible for developers and researchers. Its web interface provides an easy way to track usage analytics and manage chat sessions, while integration with LiteLLM offers optional API gateway features for improved compatibility with OpenAI and Anthropic formats. By streamlining the deployment and management of AI models, vLLM Studio could foster broader experimentation and innovation within the AI/ML community.