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OGX:开源、厂商中立的生成式AI应用服务器

OGX: An Open-Source, Vendor-Neutral Generative AI Application Server

Francisco Javier Arceo, Sébastien Han, Matthew Farrellee, Charlie Doern, Yuan Tang, Derek Higgins, Varsha Prasad Narsing, Gordon Sim, Sumanth Kamenani, Ben Browning, Raghotham Murthy

arXiv 2608.14580首次发表:更新:

AI 中文总结

OGX是开源厂商中立的生成式AI应用服务器,支持主流实验室API与多后端,为多款AI开发者工具提供模型无关自托管后端,获超8400 GitHub星标

AI 中文摘要

OGX(开放生成式AI栈)是一款开源AI应用服务器与Python库,实现了OpenAI、Anthropic、Google等主流前沿实验室的API,并支持可插拔的后端提供者。构建智能体AI应用(如检索增强生成管道、多轮智能体、工具调用工作流)的开发者,可基于单一API层进行开发,并结合任意推理引擎、向量数据库与安全后端部署,无需修改应用代码。OGX的核心重点是符合Open Responses规范的服务器端智能体编排的Responses API,该服务器还支持Anthropic Messages API与Google GenAI Interactions API,将SDK选择与模型及部署决策解耦。OGX拥有超过20个推理提供者、13个向量存储后端,以及配套的用于生产部署的Kubernetes Operator,是Claude Code、Codex CLI、OpenCode、OpenHands等AI驱动开发者工具的自托管、模型无关后端。该项目历经近两年公开开发,拥有超过8400个GitHub星标、242位贡献者与4000次提交。

英文摘要

OGX (Open GenAI Stack) is an open-source AI application server and Python library that implements the APIs of major frontier labs (OpenAI, Anthropic, Google) with pluggable backend providers. Developers building agentic AI applications--such as retrieval-augmented generation pipelines, multi-turn agents, and tool-calling workflows--can develop against a single API surface and deploy with any combination of inference engine, vector database, and safety backend, without changing application code. OGX's primary focus is the Responses API for server-side agentic orchestration, conforming to the Open Responses specification. The server also supports the Anthropic Messages API and Google GenAI Interactions API, decoupling SDK choice from model and deployment decisions. With over 20 inference providers, 13 vector store backends, and a companion Kubernetes Operator for production deployment, OGX serves as the self-hosted, model-agnostic backend for AI-powered developer tools including Claude Code, Codex CLI, OpenCode, and OpenHands. The project has over 8,400 GitHub stars, 242 contributors, and 4,000 commits across nearly two years of public development.

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