sglang-auto-benchmark
CommunityAutomate AI benchmark workflows end-to-end.
AuthorNabilhassan12345
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automates and orchestrates AI benchmark workflows by coordinating SGLang auto-benchmark runs across tiered server-flag sweeps, canonical dataset preparation, and result export.
Core Features & Use Cases
- Supports tiered search configurations, resumeable runs, and remote/local deployments for reproducible benchmarking.
- Manages dataset preparation, model launch commands, and result aggregation to compare configurations efficiently.
- Use Case: A team wants to compare QPS and latency tradeoffs across multiple model backends on their own infra.
Quick Start
Start a benchmark run from a prepared config and let the agent orchestrate flag sweeps, dataset canonicalization, and summary generation.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sglang-auto-benchmark Download link: https://github.com/Nabilhassan12345/voice-ai-workspace/archive/main.zip#sglang-auto-benchmark Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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