SGLang Desktop Playground

SGLang Desktop Playground

A screenshot of the SGLang Desktop Playground application interface.
This project is an **interactive, Python-powered LLM playground** built with **PyQt5**. It's designed as a creative, modular environment where users can experiment with prompt engineering, visualize function traces, analyze token usage, and see prompts stream live with commentary—all in real-time. The interface is responsive, theme-aware with light/dark toggles, and even features a playful creeping snake animation in the title bar.

💡 What is SGLang?

**SGLang (Structured Generation Language)** is a powerful, open-source framework developed by the **LMSYS team** (known for innovations like Chatbot Arena and Vicuna). It allows developers to define structured prompts as trees and workflows, bridging the gap between freeform prompting and programmatic reasoning. SGLang enables reusable prompt components, function-style syntax, and native integration with Large Language Models (LLMs), fostering more modular, introspectable, and programmable interactions.

✨ Key Features & Capabilities

Visual Prompt Engineering

Offers an intuitive interface to **build and edit SGLang prompts visually**, making complex prompt structures more accessible.

Real-time LLM Streaming

Streams **LLM responses live with commentary and debugging information**, providing immediate insights into the generation process.

Function Trace & Debugging

Allows users to **track function traces and execution paths**, offering deep introspection into how prompts are processed by the LLM.

Intelligent Token Estimator

Monitors **token usage and calculates estimated costs** per model in real-time, providing valuable insights for cost management and optimization.

Dynamic Theming & Playful UI

Features **light and dark theme toggles** for enhanced accessibility, alongside a unique **creeping snake animation** in the title bar for a fun touch.

Cross-Platform & Open Source

Packaged using **PyInstaller** for cross-platform compatibility and **open-sourced on GitHub** for community collaboration and exploration.

💻 Technologies Used

Python PyQt5 SGLang LLM Prompt Engineering PyInstaller QSS (Qt Style Sheets) Open Source Desktop Application AI Tools