SGLang · By BBuf

Plans and audits Day-0 SGLang support for a new model release: scope, architecture gaps, PR order, validation gates and sanitized public evidence.

BBuf/AI-Infra-Auto-Driven-SKILLS

Reads SGLang or vLLM startup logs to show where GPU memory went and estimates how many concurrent requests fit at common token lengths.

BBuf/AI-Infra-Auto-Driven-SKILLS

Analyzes Torch Profiler traces from SGLang, vLLM and TensorRT-LLM servers into kernel attribution, overlap and fusion tables.

BBuf/AI-Infra-Auto-Driven-SKILLS

Looks up public original architecture diagrams for named LLM, vision-language, MoE, diffusion and OCR models and returns the image with its source attribution.

BBuf/AI-Infra-Auto-Driven-SKILLS

Reviews SGLang changes the way its maintainers do, drawing on a bundled corpus of public PR review threads and a flowchart of how the diff runs.

BBuf/AI-Infra-Auto-Driven-SKILLS

Breaks LLM torch profiler traces down by forward pass, layer and kernel, with timing tables and Perfetto time ranges for the layers you want to inspect.

BBuf/AI-Infra-Auto-Driven-SKILLS

Compares SGLang, vLLM, TensorRT-LLM and TokenSpeed on one model and workload, searching server flags to find the best deployment command within a latency SLA.

BBuf/AI-Infra-Auto-Driven-SKILLS

A skill your agent uses when an SGLang, vLLM, TensorRT-LLM, or TokenSpeed serving/model optimization task needs prior model-family PR evidence.

BBuf/AI-Infra-Auto-Driven-SKILLS