* feat: add file-based admin settings panel at /admin
Settings saved in the panel are written to data/settings.json and
overlaid onto process.env, taking precedence over environment
variables and applying immediately without restart. Enable by setting
ADMIN_PASSWORD; on serverless platforms without persistent disk the
panel degrades to read-only.
* polish: admin panel UI improvements
- Provider logos in credential rows (shared ProviderLogo component,
extracted from model-config-dialog)
- Scroll-spy active state in the sidebar nav
- Green success state in the save bar that clears after a few seconds
- Wider content column (max-w-6xl) for less wasted space on desktop
* polish: admin panel section toggles and reorder
- Move Quota & Rate Limits to the end of the settings page
- Add enable switches to Observability and Quota sections; default off
with fields grayed out, auto-on when any field is already configured
* polish: make section enable switch more visible
Wrap the switch in a labeled pill ('Enabled'/'Disabled') with border
and background so the off state is clearly visible.
* refactor: derive admin registry from PROVIDER_INFO, simplify page state
- Provider options, labels, and base-URL placeholders now come from
PROVIDER_INFO instead of hand-copied lists (fixes SiliconFlow .com/.cn
placeholder drift; panel names now match the model-config dialog)
- Replace free-text subgroup strings + SUBGROUP_PROVIDERS reverse map
with a typed provider field on SettingDef
- Precompute SETTINGS_BY_GROUP and PROVIDER_SUBGROUPS at module level
- Merge justSaved into saveMessage, drop unused mainRef, hoist
fetchSettings out of the component, dedupe savedText logic
- Serialize from SETTINGS_REGISTRY directly; json validators in a map
instead of a hardcoded key check
- Make allowPrivateUrls a function so ALLOW_PRIVATE_URLS edits in the
admin panel apply without restart
* feat: graphical model management in admin panel
Replace the provider credential fields and raw AI_MODELS_CONFIG JSON
textarea with a Models section mirroring the in-app model settings UI:
provider instance list with logos, credential fields per provider type,
model add/remove with suggestions, per-model connectivity test, and a
default-provider star.
On save the server derives everything the runtime needs into
settings.json: credential env vars (with _2 suffixes for multiple
instances of one provider), AI_MODELS_CONFIG, and AI_PROVIDER/AI_MODEL
for the default. Secrets round-trip as masked markers and are never
sent back to the browser. The general settings registry now only
covers non-provider settings (generation, access, features,
observability, quota).
* fix: allow testing unsaved providers in admin panel
The test button previously looked up credentials by providerId in the
saved settings, so testing a newly added (unsaved) provider failed with
'Unknown provider or model'. The test endpoint now accepts the client's
current provider state; newly typed secrets are used as-is and masked
markers are resolved against the stored values, so testing works both
before and after saving.
* fix: merge env AI_MODELS_CONFIG with admin panel providers
Previously, saving in the admin panel wrote a complete AI_MODELS_CONFIG
into settings.json, which (by overlay precedence) replaced any config
from .env or ai-models.json — admins lost their env-configured models.
The panel no longer writes AI_MODELS_CONFIG. Instead its providers are
merged with the env baseline at read time in loadRawServerModelsConfig,
and panel credentials go to ADMIN_-prefixed env vars wired up via
apiKeyEnv/baseUrlEnv so they never shadow standard vars. Env-based
providers now appear read-only in the panel, name clashes are rejected,
and a panel default overrides the env default. data/ is now gitignored.
* fix: block global-credential providers already managed via env
Bedrock, Vertex AI, and Ollama credentials live in fixed env vars with
no apiKeyEnv redirection, so a panel instance of one of these would
silently override the credentials that env-configured models rely on.
The API now rejects saving such a provider when the env config already
uses that type, and the Add Provider dropdown disables it with a
'managed via env' note.
* fix: address admin panel review findings
- Security: test-model no longer resolves a stored secret when the
request's baseUrl/provider differs from the stored entry, closing a
path where a tampered baseUrl could exfiltrate a saved key
- Save failures are now visible: the save bar shows the error in red
(was masked by the persistent 'Unsaved changes' text), and per-field
validation errors from the settings API are surfaced under each field
- The Observability/Quota enable switch is now real: toggling off stages
deletion of the group's saved values, and the toggle no longer snaps
back to Enabled after saving
- Env provider's default star is hidden when a panel provider is the
active default (no more double star)
- Clearing a credential field reverts to the stored value instead of
silently deleting it; an explicit X button removes a stored secret
- Form inputs are disabled during an in-flight save
* refactor(admin): split 1549-line admin page into focused modules
Extract admin-shared.ts (types + fetch helper), setting-field.tsx
(registry-driven fields), and models-section.tsx (provider/model
manager) from page.tsx. Pure mechanical move, no behavior change.
* feat(admin): share credential fields with user dialog and localize panel
Extract ProviderCredentialsFields (display name + per-provider
credential inputs) used by both the user ModelConfigDialog and the
admin Models panel; secret input passed via renderSecret (plaintext
vs masked), test button via footer slot. Add full i18n for the admin
panel across en/zh/ja/zh-Hant, reusing modelConfig.* for shared parts.
* fix(admin): address Copilot review findings
- Reflect built-in defaults for boolean settings (ALLOW_PRIVATE_URLS
defaults on) and allow clearing a saved boolean back to default,
so the SSRF toggle matches actual runtime behavior.
- Harden JSON loading: filter settings values to strings only, and
schema-validate stored ADMIN_PROVIDERS entries, dropping malformed
ones instead of letting them reach runtime code.
- Set beforeunload returnValue so the unsaved-changes prompt shows in
all browsers; reject non-finite numbers in settings validation.
- Fix README/CN/JA docs that claimed the panel auto-generates
AI_MODELS_CONFIG (providers are merged at read time, not written).
- Add unit tests for corrupted-file value filtering and provider
schema validation.
* docs: move admin panel details to dedicated docs/{en,cn,ja}/admin-panel.md
The READMEs now carry a short blurb + link, matching the existing
per-topic docs (docker.md, ai-providers.md, ...). Removes the ~22-line
inline section and the duplicated data/settings.json mentions.
* fix(admin): address follow-up Copilot findings on the prior fixes
- loadAdminProviders now validates against a stored-shape schema where
secrets are plain strings, so a hand-edited ADMIN_PROVIDERS holding an
{isSet} marker is dropped instead of later crashing maskSecret().
- loadSettings guards against array values (typeof [] === 'object'),
which would otherwise overlay numeric keys onto process.env.
- Admin SecretInput uses the bare id so the shared component's
<Label htmlFor> stays associated (only one ProviderDetail mounts).
- Add tests: marker-secret rejection, array-values guard, bedrock
multi-secret round-trip.
10 KiB
Next AI Draw.io
一个集成了AI功能的Next.js网页应用,与draw.io图表无缝结合。通过自然语言命令和AI辅助可视化来创建、修改和增强图表。
注:感谢
字节跳动豆包 的赞助支持,本项目的 Demo 现已接入强大的 glm-4.7 模型!
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
目录
示例
以下是一些示例提示词及其生成的图表:
功能特性
- LLM驱动的图表创建:利用大语言模型通过自然语言命令直接创建和操作draw.io图表
- 基于图像的图表复制:上传现有图表或图像,让AI自动复制和增强
- PDF和文本文件上传:上传PDF文档和文本文件,提取内容并从现有文档生成图表
- AI推理过程显示:查看支持模型的AI思考过程(OpenAI o1/o3、Gemini、Claude等)
- 图表历史记录:全面的版本控制,跟踪所有更改,允许您查看和恢复AI编辑前的图表版本
- 交互式聊天界面:与AI实时对话来完善您的图表
- 云架构图支持:专门支持生成云架构图(AWS、GCP、Azure)
- 动画连接器:在图表元素之间创建动态动画连接器,实现更好的可视化效果
MCP服务器
通过MCP(模型上下文协议)在Claude Desktop、Cursor和VS Code等AI代理中使用Next AI Draw.io。
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
Claude Code CLI
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
然后让Claude创建图表:
"创建一个展示用户认证流程的流程图,包含登录、MFA和会话管理"
图表会实时显示在浏览器中!
详情请参阅MCP服务器README,了解VS Code、Cursor等客户端配置。
快速开始
在线试用
无需安装!直接在我们的演示站点试用:
使用自己的 API Key:您可以使用自己的 API Key 来绕过演示站点的用量限制。点击聊天面板中的设置图标即可配置您的 Provider 和 API Key。您的 Key 仅保存在浏览器本地,不会被存储在服务器上。
桌面应用
从 Releases 页面 下载适用于您平台的原生桌面应用:
支持的平台:Windows、macOS、Linux。
使用Docker运行
安装
- 克隆仓库:
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
npm install
cp env.example .env.local
详细设置说明请参阅提供商配置指南。
- 运行开发服务器:
npm run dev
- 在浏览器中打开 http://localhost:6002 查看应用。
部署
部署到腾讯云EdgeOne Pages
您可以通过腾讯云EdgeOne Pages一键部署。
查看腾讯云EdgeOne Pages文档了解更多详情。
同时,通过腾讯云EdgeOne Pages部署,也会获得每日免费的DeepSeek模型额度。
部署到Vercel
部署Next.js应用最简单的方式是使用Next.js创建者提供的Vercel平台。请确保在Vercel控制台中设置环境变量,就像您在本地 .env.local 文件中所做的那样。
查看Next.js部署文档了解更多详情。
部署到Cloudflare Workers
多提供商支持
- 字节跳动豆包
- AWS Bedrock(默认)
- OpenAI
- Anthropic
- Google AI
- Google Vertex AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
- ModelScope
- SGLang
- Vercel AI Gateway
除AWS Bedrock和OpenRouter外,所有提供商都支持自定义端点。
📖 详细的提供商配置指南 - 查看各提供商的设置说明。
服务端多模型配置
管理员可以配置多个服务端模型,让所有用户无需提供个人 API Key 即可使用。通过 AI_MODELS_CONFIG 环境变量(JSON 字符串)或 ai-models.json 文件配置。
模型要求:此任务需要强大的模型能力,因为它涉及生成具有严格格式约束的长文本(draw.io XML)。推荐使用 Claude Sonnet 4.5、GPT-5.1、Gemini 3 Pro 和 DeepSeek V3.2/R1。
注意:claude 系列已在带有 AWS、Azure、GCP 等云架构 Logo 的 draw.io 图表上进行训练,因此如果您想创建云架构图,这是最佳选择。
管理面板
设置 ADMIN_PASSWORD 环境变量并访问 /admin,即可在 Web 面板中管理服务端设置(模型、访问码、功能开关、可观测性、配额),无需手动编辑 .env。
📖 管理面板指南 — 启用方法、优先级规则和注意事项。
工作原理
本应用使用以下技术:
- Next.js:用于前端框架和路由
- Vercel AI SDK(
ai+@ai-sdk/*):用于流式AI响应和多提供商支持 - react-drawio:用于图表表示和操作
图表以XML格式表示,可在draw.io中渲染。AI处理您的命令并相应地生成或修改此XML。
支持与联系
特别感谢字节跳动豆包赞助演示站点的 API Token 使用! 注册火山引擎 ARK 平台即可获得50万免费Token!
如果您觉得这个项目有用,请考虑赞助来帮助我托管在线演示站点!
如需支持或咨询,请在GitHub仓库上提交issue或联系维护者:
- 邮箱:me[at]jiang.jp
常见问题
请参阅 FAQ 了解常见问题和解决方案。
