No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by shell-nlp · LLM Plugin · ★ 254
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gpt_server safe to install? View the security audit →
GPT Server [![License][license-shield]][license-url] [![Stars][stars-shield]][stars-url] [![Forks][forks-shield]][forks-url] [![Docker pulls][docker-pulls]][docker-pulls] [![CI Status][ci-shield]][ci-url] [![issue resolution][closed-issues-shield]][closed-issues-url] 本项目依托fastchat的基础能力来提供openai server的能力. 支持Chat、Embedding、ReRanker、text-moderation（文本审核，分类）、ASR、TTS（支持声音克隆）、SD(Stable Diffusion,文生图、文生视频、图片编辑、) 模型的 openai规范 接口服务。 支持HF、vLLM、LMDeploy和SGLang 多种加速推理后端引擎。 多个模型共用openai server的同一个端口进行调用，自动进行模型调度。 如果 GPT Server 对您有帮助，欢迎留下一个 ⭐ Star！ ✨ 功能亮点 ASR(语音
| Stars | 254 |
| Forks | 21 |
| Language | Python |
| Category | LLM Plugin |
| License | Apache-2.0 |
| Quality Score | 65.1854709030341/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-09 |
| Created | 2023-12-16 |
| Platforms | python |
| Est. Tokens | ~402k |
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gpt_server is gpt_server是一个用于生产级部署LLMs、Embedding、Reranker、ASR、TTS、文生图、图片编辑和文生视频的开源框架。. It is categorized as a LLM Plugin with 254 GitHub stars.
gpt_server is primarily written in Python. It covers topics such as asr, embedding, fastchat.
You can find installation instructions and usage details in the gpt_server GitHub repository at github.com/shell-nlp/gpt_server. The project has 254 stars and 21 forks, indicating an active community.
gpt_server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to gpt_server on Agent Skills Hub include smg, smg, cai. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: