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模型服务 | 面向应用提供稳定消费契约 | 服务名、API、版本、SLO、路由、授权 |\n| 服务套餐 | 定义不同消费边界 | 配额、价格口径、并发、支持等级 |\n\n业务应用应主要消费“模型服务”，而不是直接绑定底层模型资产或部署实例。\n\n## 一套可落地的分类方法\n\n目录不宜只按厂商分类。建议同时设置以下维度：\n\n- **任务类型**：文本生成、向量、重排、图像、语音等；\n- **服务来源**：外部 API、私有部署、平台部署、聚合服务；\n- **数据边界**：可处理公开、内部、敏感或受监管数据；\n- **质量等级**：实验、标准生产、关键生产；\n- **消费范围**：全企业、指定租户、部门、项目或应用；\n- **生命周期状态**：草稿、评测、已发布、受限、弃用、下线。\n\n分类的目的不是增加标签，而是帮助发现、授权和运营。\n\n## 发布一个模型服务需要哪些字段\n\n建议把发布条件设计成一张最小服务卡：\n\n| 字段组 | 必填内容 |\n|---|---|\n| 基本信息 | 服务名称、用途、所有者、支持团队 |\n| 技术契约 | API、输入输出、版本、限制、超时 |\n| 运行信息 | 环境、实例、健康检查、容量边界 |\n| 治理信息 | 可见范围、授权方式、API Key、审计要求 |\n| 运营信息 | 配额、Token 或资源计量、成本归属 |\n| 生命周期 | 发布时间、变更记录、弃用日期、替代服务 |\n\n字段不完整时，可以允许进入草稿或评测状态，但不应直接成为生产服务。\n\n## 六步建设方法\n\n### 第一步：盘点现有模型入口\n\n收集各团队使用的外部 API、私有模型、部署端点和共享服务，识别重复接入与无人负责的入口。\n\n### 第二步：确定服务分类和命名\n\n服务名称应表达任务与级别，而不是只复制厂商型号。底层模型变化时，稳定的服务名称可以减少应用改造。\n\n### 第三步：建立发布审核\n\n发布前检查数据边界、评测结果、容量、授权、计量和责任人。审核不是一次性盖章，而是确定服务进入哪个生命周期状态。\n\n### 第四步：连接权限与 API Key\n\n目录中的“可见”不等于“可调用”。用户发现服务后，仍需根据租户、部门、项目或应用申请授权，并获得可追溯的访问凭证。\n\n### 第五步：连接计量与配额\n\n每项服务需要明确计量单位、采集位置、失败调用处理和配额规则。否则目录扩大后，平台无法解释谁在消费、消费多少。\n\n### 第六步：管理变更与下线\n\n版本升级应包含评测、灰度、通知和回滚。弃用状态要给出替代服务和迁移窗口；下线后回收授权与 Key。\n\n## AGIOne 如何承接服务目录\n\nAGIOne 的模型服务层可承接外部模型、私有模型和部署模型的服务化入口，并把目录与统一 API、发布审核、授权、API Key、策略路由、Token 计量和运营分析连接起来。\n\n关键不是把更多模型放进页面，而是使部署结果能够进入可发布、可授权、可调用和可计量的生命周期。\n\n## 如何判断目录是否真正可运营\n\n可以用以下问题验收：\n\n- 每项生产服务是否有明确所有者？\n- 业务是否通过服务标识而非临时端点调用？\n- 授权是否能追溯到应用和责任主体？\n- 版本变更是否有通知、灰度和回滚？\n- 用量能否关联服务、调用方和成本主体？\n- 弃用服务是否有迁移窗口和替代项？\n\n只要其中一项长期缺失，目录就可能退化为静态清单。\n\n## FAQ\n\n### 模型服务目录和模型市场有什么区别？\n\n模型市场偏向发现和展示；服务目录还需连接发布、授权、API、配额、计量、变更和下线。\n\n### 同一个模型可以发布多个服务吗？\n\n可以。例如不同数据边界、容量、版本或支持等级可以形成不同服务，但要避免没有治理差异的重复条目。\n\n### 服务名称应该包含模型版本吗？\n\n稳定服务名通常不必绑定具体版本。版本应作为服务契约和变更记录管理，关键升级再通过新服务或版本标识暴露。\n\n### 谁应该是模型服务的所有者？\n\n应由能对服务质量、变更和运营结果负责的团队担任，而不是仅由最初接入模型的个人承担。\n\n### 目录需要展示价格吗？\n\n取决于企业运营模式。即使不展示内部价格，也应明确计量单位、预算或配额边界。\n\n## 下一步\n\n先选择使用量高、跨团队复用价值高的模型入口建立首批服务卡，再逐步连接授权、计量和生命周期流程。相关内容包括多模型统一管理、API Key 管理和模型服务生命周期管理。\n","\u003Cdiv class=\"github-markdown-body\">\u003Cp>企业模型服务目录不是一张模型清单，而是面向业务应用的受治理服务入口。每项服务都应明确用途、版本、接口、所有者、访问条件、配额、计量和生命周期状态，让公有模型、私有模型与自部署模型能够被发现、授权、调用和持续运营。\u003C\u002Fp>\n\u003Ch2>为什么“列出模型”还不等于服务目录\u003C\u002Fh2>\n\u003Cp>模型市场或表格可以告诉用户“有哪些模型”，但生产环境还需要回答：\u003C\u002Fp>\n\u003Cul>\n\u003Cli>哪个服务适合当前任务；\u003C\u002Fli>\n\u003Cli>谁负责质量、成本和变更；\u003C\u002Fli>\n\u003Cli>哪些部门和应用可以调用；\u003C\u002Fli>\n\u003Cli>使用哪个版本和接口；\u003C\u002Fli>\n\u003Cli>配额与计量规则是什么；\u003C\u002Fli>\n\u003Cli>服务异常、升级或下线时如何处理。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>没有这些信息，目录只是展示层，应用仍会绕过平台直接接入模型。\u003C\u002Fp>\n\u003Ch2>目录中应管理哪些对象\u003C\u002Fh2>\n\u003Cp>企业应区分四类对象：\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>对象\u003C\u002Fth>\n\u003Cth>作用\u003C\u002Fth>\n\u003Cth>关键字段\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>模型资产\u003C\u002Ftd>\n\u003Ctd>描述模型来源和基础属性\u003C\u002Ftd>\n\u003Ctd>厂商、系列、版本、许可证、部署边界\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>部署实例\u003C\u002Ftd>\n\u003Ctd>描述模型运行在哪里\u003C\u002Ftd>\n\u003Ctd>环境、规格、端点、健康状态、责任团队\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>模型服务\u003C\u002Ftd>\n\u003Ctd>面向应用提供稳定消费契约\u003C\u002Ftd>\n\u003Ctd>服务名、API、版本、SLO、路由、授权\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>服务套餐\u003C\u002Ftd>\n\u003Ctd>定义不同消费边界\u003C\u002Ftd>\n\u003Ctd>配额、价格口径、并发、支持等级\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp>业务应用应主要消费“模型服务”，而不是直接绑定底层模型资产或部署实例。\u003C\u002Fp>\n\u003Ch2>一套可落地的分类方法\u003C\u002Fh2>\n\u003Cp>目录不宜只按厂商分类。建议同时设置以下维度：\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>任务类型\u003C\u002Fstrong>：文本生成、向量、重排、图像、语音等；\u003C\u002Fli>\n\u003Cli>\u003Cstrong>服务来源\u003C\u002Fstrong>：外部 API、私有部署、平台部署、聚合服务；\u003C\u002Fli>\n\u003Cli>\u003Cstrong>数据边界\u003C\u002Fstrong>：可处理公开、内部、敏感或受监管数据；\u003C\u002Fli>\n\u003Cli>\u003Cstrong>质量等级\u003C\u002Fstrong>：实验、标准生产、关键生产；\u003C\u002Fli>\n\u003Cli>\u003Cstrong>消费范围\u003C\u002Fstrong>：全企业、指定租户、部门、项目或应用；\u003C\u002Fli>\n\u003Cli>\u003Cstrong>生命周期状态\u003C\u002Fstrong>：草稿、评测、已发布、受限、弃用、下线。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>分类的目的不是增加标签，而是帮助发现、授权和运营。\u003C\u002Fp>\n\u003Ch2>发布一个模型服务需要哪些字段\u003C\u002Fh2>\n\u003Cp>建议把发布条件设计成一张最小服务卡：\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>字段组\u003C\u002Fth>\n\u003Cth>必填内容\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>基本信息\u003C\u002Ftd>\n\u003Ctd>服务名称、用途、所有者、支持团队\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>技术契约\u003C\u002Ftd>\n\u003Ctd>API、输入输出、版本、限制、超时\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>运行信息\u003C\u002Ftd>\n\u003Ctd>环境、实例、健康检查、容量边界\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>治理信息\u003C\u002Ftd>\n\u003Ctd>可见范围、授权方式、API Key、审计要求\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>运营信息\u003C\u002Ftd>\n\u003Ctd>配额、Token 或资源计量、成本归属\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>生命周期\u003C\u002Ftd>\n\u003Ctd>发布时间、变更记录、弃用日期、替代服务\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp>字段不完整时，可以允许进入草稿或评测状态，但不应直接成为生产服务。\u003C\u002Fp>\n\u003Ch2>六步建设方法\u003C\u002Fh2>\n\u003Ch3>第一步：盘点现有模型入口\u003C\u002Fh3>\n\u003Cp>收集各团队使用的外部 API、私有模型、部署端点和共享服务，识别重复接入与无人负责的入口。\u003C\u002Fp>\n\u003Ch3>第二步：确定服务分类和命名\u003C\u002Fh3>\n\u003Cp>服务名称应表达任务与级别，而不是只复制厂商型号。底层模型变化时，稳定的服务名称可以减少应用改造。\u003C\u002Fp>\n\u003Ch3>第三步：建立发布审核\u003C\u002Fh3>\n\u003Cp>发布前检查数据边界、评测结果、容量、授权、计量和责任人。审核不是一次性盖章，而是确定服务进入哪个生命周期状态。\u003C\u002Fp>\n\u003Ch3>第四步：连接权限与 API Key\u003C\u002Fh3>\n\u003Cp>目录中的“可见”不等于“可调用”。用户发现服务后，仍需根据租户、部门、项目或应用申请授权，并获得可追溯的访问凭证。\u003C\u002Fp>\n\u003Ch3>第五步：连接计量与配额\u003C\u002Fh3>\n\u003Cp>每项服务需要明确计量单位、采集位置、失败调用处理和配额规则。否则目录扩大后，平台无法解释谁在消费、消费多少。\u003C\u002Fp>\n\u003Ch3>第六步：管理变更与下线\u003C\u002Fh3>\n\u003Cp>版本升级应包含评测、灰度、通知和回滚。弃用状态要给出替代服务和迁移窗口；下线后回收授权与 Key。\u003C\u002Fp>\n\u003Ch2>AGIOne 如何承接服务目录\u003C\u002Fh2>\n\u003Cp>AGIOne 的模型服务层可承接外部模型、私有模型和部署模型的服务化入口，并把目录与统一 API、发布审核、授权、API Key、策略路由、Token 计量和运营分析连接起来。\u003C\u002Fp>\n\u003Cp>关键不是把更多模型放进页面，而是使部署结果能够进入可发布、可授权、可调用和可计量的生命周期。\u003C\u002Fp>\n\u003Ch2>如何判断目录是否真正可运营\u003C\u002Fh2>\n\u003Cp>可以用以下问题验收：\u003C\u002Fp>\n\u003Cul>\n\u003Cli>每项生产服务是否有明确所有者？\u003C\u002Fli>\n\u003Cli>业务是否通过服务标识而非临时端点调用？\u003C\u002Fli>\n\u003Cli>授权是否能追溯到应用和责任主体？\u003C\u002Fli>\n\u003Cli>版本变更是否有通知、灰度和回滚？\u003C\u002Fli>\n\u003Cli>用量能否关联服务、调用方和成本主体？\u003C\u002Fli>\n\u003Cli>弃用服务是否有迁移窗口和替代项？\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>只要其中一项长期缺失，目录就可能退化为静态清单。\u003C\u002Fp>\n\u003Ch2>FAQ\u003C\u002Fh2>\n\u003Ch3>模型服务目录和模型市场有什么区别？\u003C\u002Fh3>\n\u003Cp>模型市场偏向发现和展示；服务目录还需连接发布、授权、API、配额、计量、变更和下线。\u003C\u002Fp>\n\u003Ch3>同一个模型可以发布多个服务吗？\u003C\u002Fh3>\n\u003Cp>可以。例如不同数据边界、容量、版本或支持等级可以形成不同服务，但要避免没有治理差异的重复条目。\u003C\u002Fp>\n\u003Ch3>服务名称应该包含模型版本吗？\u003C\u002Fh3>\n\u003Cp>稳定服务名通常不必绑定具体版本。版本应作为服务契约和变更记录管理，关键升级再通过新服务或版本标识暴露。\u003C\u002Fp>\n\u003Ch3>谁应该是模型服务的所有者？\u003C\u002Fh3>\n\u003Cp>应由能对服务质量、变更和运营结果负责的团队担任，而不是仅由最初接入模型的个人承担。\u003C\u002Fp>\n\u003Ch3>目录需要展示价格吗？\u003C\u002Fh3>\n\u003Cp>取决于企业运营模式。即使不展示内部价格，也应明确计量单位、预算或配额边界。\u003C\u002Fp>\n\u003Ch2>下一步\u003C\u002Fh2>\n\u003Cp>先选择使用量高、跨团队复用价值高的模型入口建立首批服务卡，再逐步连接授权、计量和生命周期流程。相关内容包括多模型统一管理、API Key 管理和模型服务生命周期管理。\u003C\u002Fp>\n\u003C\u002Fdiv>","markdown","模型服务目录不只是模型清单。本文提供对象划分、分类方法、服务卡字段、发布审核、权限、计量和下线流程，帮助企业建设可运营的模型服务入口。","\u002Ffile\u002F2\u002F2026\u002F8\u002F5f2cd05189c9.png?i=9245&name=enterprise-model-service-catalog.png","enterprise-model-service-catalog","企业模型服务目录怎么建设？分类、发布、权限与生命周期","模型服务目录,企业模型目录,AI 服务目录","企业模型服务目录怎么建设？分类、发布与权限指南 - AGIOne","模型服务目录,企业模型目录,AI 服务目录,模型服务发布,模型服务权限,模型服务生命周期","2026-08-25","2026-09-01 16:32:31","2026-08-25 09:33:46","AGIOne","\u002Ffile\u002F2\u002F2026\u002F6\u002F291951eaf479.png?i=9162&name=AGIOne_反白.png","最佳实践",1788322572150,{"data":236,"status":23,"timestamp":249},{"previous":237,"next":243},{"id":238,"title":239,"cover":240,"slug":241,"productName":231,"blogTypeName":233,"blogTypeCode":242},198,"企业 AI 平台与云厂商 AI 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12:15:15","2026-08-03 08:54:02","卫生医疗",{"tenantId":5,"id":269,"title":270,"desc":271,"intro":272,"industryId":79,"slug":273,"productId":48,"languageId":6,"tags":274,"siteId":6,"cover":275,"coverBig":276,"seoTitle":10,"keywords":277,"description":278,"pdfurl":279,"isTop":22,"status":6,"publishedAt":10,"contentUpdatedAt":10,"sortIndex":10,"platform":6,"createdAt":280,"updatedAt":281,"languageName":16,"productName":42,"productIcon":282,"productCode":283,"industryName":284},7,"某省移动：政务系统分批次自助迁移上云，显著降本增效","某市移动需要将分散运行在源端VM（约20%） 和Xen（约80%）的主机，以滚动硬件替换的方式，实现云计算平台整体升级替换为新的基于OpenStack P版的移动公有云平台。要求数据迁移期间，业务系统运行不间断。不同业务单位的迁移时间点不同，需要分批次迁移。","挑战：某省移动需将分散在源端 VM 和 Xen 的主机迁移至新的 OpenStack P 版移动公有云平台，迁移时业务系统不能中断，且不同业务单位迁移时间点不同。\n方案：采用整机热迁移和块级别差量复制；进行驱动智能适配；对接云原生 API；采用无代理模式。\n收益：业务不停机，降低安全风险；工具操作简单，1 名运维人员 12 小时完成首批 39 台主机迁移，降本增效。","hypermotion-case-studies-a-china-mobile-provincial-company","虚拟化上云$$VMware及Xen上云,无代理迁移$$无代理安装，业务零影响,自动化迁移$$Openstack自动化编排","\u002Ffile\u002F2\u002F2024\u002F12\u002F25f5b7dc0afe.jpg?i=246&name=wireless-4507617_1280.jpg","\u002Ffile\u002F2\u002F2025\u002F5\u002F551276c75e0c.png?i=8767&name=迁移运营商.png","运营商, 云计算升级, OpenStack, 公有云平台, 主机迁移, 整机热迁移,  异构平台, 云原生API对接, 无代理模式, HyperMotion云迁移, 数据迁移, 迁移效率","某省移动采用HyperMotion将分散在VMware和Xen平台的政务系统迁移至OpenStack公有云，采用无代理整机热迁移和API自动化编排，确保业务不中断。​1名运维人员12小时完成首批39台主机迁移，显著降低人力成本，提升迁移效率。","\u002Ffile\u002Fcase\u002F7\u002F某省移动：政务系统分批次自助迁移上云，显著降本增效.pdf","2021-12-13 14:57:56","2026-07-31 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模式提供一站式服务，降低运维成本；不影响业务运行，云端成功接管业务，完成全省首例迁移上云项目。","hypermotion-case-studies-a-city-hydrographic-office","整机热迁移$$最小化对业务影响,IP地址指定$$预配置目标平台IP地址,多次演练$$支持多次迁移演练","\u002Ffile\u002F2\u002F2024\u002F12\u002F66ec685ba16f.jpg?i=249&name=natural-2437651_1280.jpg","\u002Ffile\u002F2\u002F2025\u002F4\u002F9bc27e3628a1.png?i=8670&name=政府.png","政府行业, 水文局, 数据中心上云, 整机迁移, 热迁移,灾备演练, 移动云迁移, 业务系统接管, 迁移场景, 迁移资源, 迁移系统, 迁移流程, HyperMotion","某市水文资源局采用“云+网”一站式上云方案，通过专线连接，将10套业务系统、20台主机迁移至移动云平台。​采用整机热迁移、块级差量复制和IP地址指定等技术，确保业务系统在迁移过程中不中断。​多次灾备演练式迁移，保障系统顺利运行，实现全省首例移动云迁移项目。","\u002Ffile\u002Fcase\u002F5\u002F某水文资源局：“云+网”一站式上云迁移.pdf","2021-12-13 14:54:55","2026-08-03 12:15:26","政府",{"tenantId":5,"id":41,"title":316,"desc":317,"intro":318,"industryId":5,"slug":319,"productId":48,"languageId":6,"tags":320,"siteId":6,"cover":321,"coverBig":322,"seoTitle":10,"keywords":323,"description":324,"pdfurl":325,"isTop":22,"status":6,"publishedAt":10,"contentUpdatedAt":10,"sortIndex":10,"platform":6,"createdAt":326,"updatedAt":327,"languageName":16,"productName":42,"productIcon":282,"productCode":283,"industryName":328},"国家电网：27省，20000主机，3个月高效迁移上云","某电网自主云建设加速，逐步将现有物理机\u002FVMware上的系统迁移到自建私有云，全面实现云化建设。","挑战：某电网有强烈上云需求，业务系统不能停机，迁移系统数量巨大且复杂，需并发高效迁移，原有系统庞杂关联复杂，运维人员迁移经验少。\n方案：采用跨平台自动化整机迁移；实现驱动智能适配；对接云原生 API；采用无代理模式；提供可视化向导式界面；自动检测排错。\n收益：独家完成 27 省网、20000 + 套系统迁移，效率高成本低，自动化程度高，助力电网数字化转型。","hypermotion-case-studies-migration-china-state-grid","20000主机$$从VMware上Openstack,27省$$全国27省分支迁移上云,3个月$$多地并发，3月完成上云","\u002Ffile\u002F2\u002F2024\u002F11\u002F18b2c99fa881.jpg?i=68&name=R.jpg","\u002Ffile\u002F2\u002F2025\u002F4\u002F8a4cf34dafd5.png?i=8675&name=迁移能源.png","国家网, 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模型调用与算力成本如何按部门、项目、租户、应用和模型归集，并提供直接成本、共享成本、Showback 和 Chargeback 实施步骤。","ai-cost-allocation-by-department-project-tenant-model",{"id":386,"title":387,"cover":388,"desc":389,"siteId":6,"slug":390,"typeId":391,"productId":51,"languageId":6,"status":6,"date":392,"createdAt":393,"productName":231,"productCode":231,"productIcon":232,"blogTypeName":88,"blogTypeCode":394,"languageName":16},176,"连Token 都有了中文名，企业 CIO 却还是最后一个知道公司在AI上花了多少钱？","\u002Ffile\u002F2\u002F2026\u002F3\u002Fbaf17694f843.jpg?i=9146&name=未标题-1.jpg","企业 AI 规模化应用下，影子 AI 扩散、成本失控、技术债高筑等问题凸显，单一模型时代已落幕。ModelOne 企业级多模型管理平台，以统一 API、全链路成本观测、智能调度等能力，让 AI 从粗放走向可控，助力企业低成本、安全地实现 AI 规模化落地。","even-token-have-chinese-name-enterprise-cio-last-know-ai-spending",21,"2026-03-27","2026-03-26 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