Generate an E2E Profile of an SGLang Server Run

This skill launches an SGLang server, validates it with a quick accuracy test, generates a profiling trace, and returns the profile file path.

Prerequisites

• A working SGLang installation (pip install -e . or equivalent)
• At least one available CUDA GPU

Step-by-step Workflow

Step 1: Launch the server

CUDA_VISIBLE_DEVICES=<gpu_id> sglang serve --model-path <model> --port <port> &