chore: update changelog for v0.8.2 and bump version to v0.8.2

feat(image-settings-panel): clarify transparent background feature availability in tooltip
feat(prompt-chip-input): implement contentEditable input for image references with thumbnail display
2026-07-24 15:24:06 +08:00 · 2026-07-16 17:44:20 +08:00 · 2026-07-16 17:44:05 +08:00 · 2026-07-16 17:32:43 +08:00 · 2026-07-16 17:28:30 +08:00 · 2026-07-16 15:45:02 +08:00
357 changed files with 42740 additions and 9062 deletions
@@ -0,0 +1,20 @@
+{
+  "name": "infinite-canvas-local",
+  "interface": {
+    "displayName": "Infinite Canvas"
+  },
+  "plugins": [
+    {
+      "name": "infinite-canvas",
+      "source": {
+        "source": "local",
+        "path": "./plugins/infinite-canvas"
+      },
+      "policy": {
+        "installation": "AVAILABLE",
+        "authentication": "ON_INSTALL"
+      },
+      "category": "Productivity"
+    }
+  ]
+}
@@ -1,7 +1,11 @@
 .git
 .idea
-docs
+docs2
 data
+docs/.next
+docs/.source
+docs/node_modules
+docs/out
 web/.next
 web/node_modules
 web/out
@@ -1,20 +0,0 @@
-# 管理员账号，首次启动会自动创建。
-ADMIN_USERNAME=admin
-ADMIN_PASSWORD=infinite-canvas
-
-# JWT 登录密钥和过期时间，正式部署请修改 JWT_SECRET。
-JWT_SECRET=infinite-canvas
-JWT_EXPIRE_HOURS=168
-
-# 后端监听端口
-PORT=8080
-
-# 前端开发代理默认使用 http://127.0.0.1:8080，如后端开发端口不同，启动前端时可单独设置 API_BASE_URL。
-# API_BASE_URL=http://127.0.0.1:8080
-
-# 数据库配置，默认使用本地 SQLite。
-STORAGE_DRIVER=sqlite
-# sqlite: DATABASE_DSN=data/infinite-canvas.db
-# mysql: DATABASE_DSN=user:password@tcp(127.0.0.1:3306)/infinite_canvas?parseTime=true
-# postgres: DATABASE_DSN=postgres://user:password@127.0.0.1:5432/infinite_canvas?sslmode=disable
-DATABASE_DSN=data/infinite-canvas.db
@@ -9,9 +9,37 @@ permissions:
  contents: read
  packages: write

+env:
+  IMAGE_NAME: ghcr.io/basketikun/infinite-canvas
+
 jobs:
-  build:
+  meta:
    runs-on: ubuntu-latest
+    outputs:
+      tags: ${{ steps.meta.outputs.tags }}
+      labels: ${{ steps.meta.outputs.labels }}
+    steps:
+      - id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.IMAGE_NAME }}
+          tags: |
+            type=ref,event=tag
+            type=sha,prefix=
+
+  build:
+    needs: meta
+    runs-on: ${{ matrix.runner }}
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - platform: linux/amd64
+            arch: amd64
+            runner: ubuntu-latest
+          - platform: linux/arm64
+            arch: arm64
+            runner: ubuntu-24.04-arm
    steps:
      - uses: actions/checkout@v4

@@ -23,19 +51,65 @@ jobs:
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}

-      - id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: ghcr.io/${{ github.repository }}
-          tags: |
-            type=ref,event=tag
-            type=sha,prefix=
-
-      - uses: docker/build-push-action@v6
+      - id: build
+        uses: docker/build-push-action@v6
        with:
          context: .
-          push: true
-          tags: ${{ steps.meta.outputs.tags }}
-          labels: ${{ steps.meta.outputs.labels }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
+          platforms: ${{ matrix.platform }}
+          labels: ${{ needs.meta.outputs.labels }}
+          outputs: type=image,name=${{ env.IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
+          cache-from: type=gha,scope=app-${{ matrix.arch }}
+          cache-to: type=gha,mode=max,scope=app-${{ matrix.arch }}
+
+      - name: Export digest
+        shell: bash
+        run: |
+          mkdir -p "$RUNNER_TEMP/digests"
+          digest="${{ steps.build.outputs.digest }}"
+          touch "$RUNNER_TEMP/digests/${digest#sha256:}"
+
+      - uses: actions/upload-artifact@v4
+        with:
+          name: digests-${{ matrix.arch }}
+          path: ${{ runner.temp }}/digests/*
+          if-no-files-found: error
+          retention-days: 1
+
+  merge:
+    needs:
+      - meta
+      - build
+    runs-on: ubuntu-latest
+    steps:
+      - uses: docker/setup-buildx-action@v3
+
+      - uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - uses: actions/download-artifact@v4
+        with:
+          path: ${{ runner.temp }}/digests
+          pattern: digests-*
+          merge-multiple: true
+
+      - name: Create multi-arch manifest
+        shell: bash
+        env:
+          TAGS: ${{ needs.meta.outputs.tags }}
+        run: |
+          tag_args=()
+          while IFS= read -r tag; do
+            if [ -n "$tag" ]; then
+              tag_args+=("-t" "$tag")
+            fi
+          done <<< "$TAGS"
+
+          digest_args=()
+          while IFS= read -r digest_file; do
+            digest_args+=("${IMAGE_NAME}@sha256:${digest_file}")
+          done < <(find "$RUNNER_TEMP/digests" -type f -printf '%f\n' | sort)
+
+          docker buildx imagetools create "${tag_args[@]}" "${digest_args[@]}"
@@ -0,0 +1,117 @@
+name: Docs Docker image
+
+on:
+  push:
+    tags: ["v*"]
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  packages: write
+
+env:
+  IMAGE_NAME: ghcr.io/basketikun/infinite-canvas-docs
+
+jobs:
+  meta:
+    runs-on: ubuntu-latest
+    outputs:
+      tags: ${{ steps.meta.outputs.tags }}
+      labels: ${{ steps.meta.outputs.labels }}
+    steps:
+      - id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.IMAGE_NAME }}
+          tags: |
+            type=raw,value=latest
+            type=ref,event=tag
+            type=sha,prefix=
+
+  build:
+    needs: meta
+    runs-on: ${{ matrix.runner }}
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - platform: linux/amd64
+            arch: amd64
+            runner: ubuntu-latest
+          - platform: linux/arm64
+            arch: arm64
+            runner: ubuntu-24.04-arm
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: docker/setup-buildx-action@v3
+
+      - uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - id: build
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          file: ./docs/Dockerfile
+          platforms: ${{ matrix.platform }}
+          labels: ${{ needs.meta.outputs.labels }}
+          outputs: type=image,name=${{ env.IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
+          cache-from: type=gha,scope=docs-${{ matrix.arch }}
+          cache-to: type=gha,mode=max,scope=docs-${{ matrix.arch }}
+
+      - name: Export digest
+        shell: bash
+        run: |
+          mkdir -p "$RUNNER_TEMP/digests"
+          digest="${{ steps.build.outputs.digest }}"
+          touch "$RUNNER_TEMP/digests/${digest#sha256:}"
+
+      - uses: actions/upload-artifact@v4
+        with:
+          name: docs-digests-${{ matrix.arch }}
+          path: ${{ runner.temp }}/digests/*
+          if-no-files-found: error
+          retention-days: 1
+
+  merge:
+    needs:
+      - meta
+      - build
+    runs-on: ubuntu-latest
+    steps:
+      - uses: docker/setup-buildx-action@v3
+
+      - uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - uses: actions/download-artifact@v4
+        with:
+          path: ${{ runner.temp }}/digests
+          pattern: docs-digests-*
+          merge-multiple: true
+
+      - name: Create multi-arch manifest
+        shell: bash
+        env:
+          TAGS: ${{ needs.meta.outputs.tags }}
+        run: |
+          tag_args=()
+          while IFS= read -r tag; do
+            if [ -n "$tag" ]; then
+              tag_args+=("-t" "$tag")
+            fi
+          done <<< "$TAGS"
+
+          digest_args=()
+          while IFS= read -r digest_file; do
+            digest_args+=("${IMAGE_NAME}@sha256:${digest_file}")
+          done < <(find "$RUNNER_TEMP/digests" -type f -printf '%f\n' | sort)
+
+          docker buildx imagetools create "${tag_args[@]}" "${digest_args[@]}"
@@ -0,0 +1,52 @@
+name: GitHub Pages
+
+on:
+  push:
+    tags: ["v*"]
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+concurrency:
+  group: pages
+  cancel-in-progress: false
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: oven-sh/setup-bun@v2
+
+      - name: Install dependencies
+        working-directory: web
+        run: bun install
+
+      - name: Build
+        working-directory: web
+        env:
+          VITE_BASE: /${{ github.event.repository.name }}/
+        run: bun run build
+
+      - name: Add SPA fallback
+        run: cp web/dist/index.html web/dist/404.html
+
+      - uses: actions/configure-pages@v5
+
+      - uses: actions/upload-pages-artifact@v3
+        with:
+          path: web/dist
+
+  deploy:
+    needs: build
+    runs-on: ubuntu-latest
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    steps:
+      - id: deployment
+        uses: actions/deploy-pages@v4
@@ -0,0 +1,59 @@
+name: Publish Canvas Agent
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - "canvas-agent/**"
+      - ".github/workflows/publish-canvas-agent.yml"
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+concurrency:
+  group: publish-canvas-agent
+  cancel-in-progress: false
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: canvas-agent
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 22
+          registry-url: https://registry.npmjs.org
+
+      - name: Install dependencies
+        run: npm install --no-audit --no-fund
+
+      - name: Check package version
+        id: package
+        run: |
+          name=$(node -p "require('./package.json').name")
+          version=$(node -p "require('./package.json').version")
+          published=$(npm view "$name@$version" version 2>/dev/null || true)
+          echo "name=$name" >> "$GITHUB_OUTPUT"
+          echo "version=$version" >> "$GITHUB_OUTPUT"
+          if [ -n "$published" ]; then
+            echo "should_publish=false" >> "$GITHUB_OUTPUT"
+          else
+            echo "should_publish=true" >> "$GITHUB_OUTPUT"
+          fi
+
+      - name: Publish to npm
+        if: steps.package.outputs.should_publish == 'true'
+        run: npm publish --access public
+        env:
+          NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
+
+      - name: Skip existing version
+        if: steps.package.outputs.should_publish != 'true'
+        run: echo "${{ steps.package.outputs.name }}@${{ steps.package.outputs.version }} already exists on npm, skipping publish."
@@ -0,0 +1,47 @@
+name: Publish Official Plugins
+
+# 构建官方插件并把产物(bundle + 清单)强推到孤儿分支 plugins-dist。
+# 与 github-pages.yml 一致,在打版本 tag 时触发 —— 发版时 web 与官方插件一起发布。
+# 前端经 jsDelivr 从该分支远程拉取;构建产物不进 main、不进 git。
+on:
+  push:
+    tags: ["v*"]
+  workflow_dispatch:
+
+permissions:
+  contents: write
+
+concurrency:
+  group: publish-plugins
+  cancel-in-progress: false
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 22
+
+      - name: Install build dependencies
+        working-directory: plugins/canvas/registry
+        run: npm install --no-audit --no-fund
+
+      - name: Build official plugins
+        working-directory: plugins/canvas/registry
+        run: npm run build
+
+      - name: Publish to plugins-dist branch
+        working-directory: plugins/canvas/registry/dist
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          git init -q
+          git config user.name "github-actions[bot]"
+          git config user.email "github-actions[bot]@users.noreply.github.com"
+          git checkout -q -b plugins-dist
+          git add -A
+          git commit -q -m "publish official plugins @ ${GITHUB_SHA::7}"
+          git push -f "https://x-access-token:${GH_TOKEN}@github.com/${GITHUB_REPOSITORY}.git" plugins-dist
@@ -8,3 +8,10 @@ data/
 *.tsbuildinfo
 .DS_Store
 .idea
+web/dist
+
+**/dist
+web/public/plugins
+plugins/canvas/*/dist
+plugins/canvas/*/node_modules
+web/public/plugins
@@ -6,8 +6,9 @@

 - 先读现有代码，再动手修改，优先沿用项目已有结构和写法。
 - 写代码保持最少行数，能简单实现就不要引入复杂抽象。
+- 标准格式、协议、解析、压缩、加密、日期等通用能力优先使用成熟稳定的库，不要手写底层实现，除非用户明确要求或项目已有实现必须沿用。
 - 不要为了“兼容更多场景”写大量分支，只实现当前明确需要的功能。
- 项目尚未上线，不需要兼容旧数据；表结构或字段调整时直接按新设计修改，不写旧字段兼容、数据迁移兜底或删除旧表的清理逻辑，除非用户明确要求。
+- 项目尚未上线，不需要兼容旧数据；本地存储结构调整时直接按新设计修改，不写旧字段兼容或数据迁移兜底，除非用户明确要求。
 - 每次写完代码，不需要检查语法，不需要执行构建，用户会自己做。
 - 不要改无关文件，不要顺手重构。
 - 如果工作区已有用户改动，不要回滚，不要覆盖；只在必要范围内追加修改。
@@ -18,28 +19,18 @@
 - 补充时写成明确、可执行的规则，避免只写模糊描述。
 - 新规则应放到最相关的章节；找不到合适章节时放到“项目注意事项”。

-## 后端规范
-
- 后端使用 Go + Gin + GORM。
- `handler/` 只处理 HTTP 入参、调用 service、返回 `OK` / `Fail`。
- `service/` 放业务逻辑、默认值、校验、时间、ID、鉴权等处理。
- `repository/` 只做数据库访问和 GORM 查询。
- `model/` 只定义数据结构、枚举和简单模型方法。
- 列表接口优先沿用 `model.Query`、`Normalize`、分页和标签筛选方式。
- 业务接口保持 `{ code, data, msg }` 的响应结构。
- 新增数据表时同步更新 `docs/backend-database.md`。
-
 ## 前端规范

- 前端使用 Next.js App Router、React、TypeScript、Ant Design、Tailwind、Zustand。
+- 前端使用 Vite、React、React Router、TypeScript、Ant Design、Tailwind、Zustand。
 - 编写 Ant Design 相关代码时，参考 https://ant.design/llms-full.txt 理解组件 API、示例和设计规范，并优先结合项目当前 antd 版本与既有写法。
- API 请求统一放在 `web/src/services/api/`。
+- 外部服务请求统一放在 `web/src/services/api/`，由浏览器前端直连，不假设存在项目后端。
 - 全局或跨页面状态优先放在 `web/src/stores/`。
 - 已经放在全局 store 或全局 hook 中的状态/动作，组件需要时直接使用对应 store/hook，不要为了“纯组件”层层透传 props；避免一个组件传递过多参数。
 - 全局组件、全局常量、全局配置等全局性质的内容不要作为 props 或参数层层传递；哪里需要就在哪里直接从对应全局入口获取。
 - 多个页面重复出现的 UI 副作用动作，例如复制文本并提示、下载并提示、统一确认弹窗，优先抽成 `web/src/hooks/` 下的全局 hook；不要放进 store，除非它确实是需要共享/订阅的状态。
- 画布相关状态和组件放在 `web/src/app/(user)/canvas/` 内部。
- 页面里只有一个主业务组件时直接写在 `page.tsx`，不要单独拆 `Manager` 组件再传一堆 props。
+- 路由页面放在 `web/src/pages/`，页面布局放在 `web/src/layouts/`，路由配置放在 `web/src/router.tsx`。
+- 画布页面放在 `web/src/pages/canvas/`，画布组件放在 `web/src/components/canvas/`，画布状态放在 `web/src/stores/canvas/`，画布工具函数放在 `web/src/lib/canvas/`。
+- 页面按目录组织，例如 `web/src/pages/image/index.tsx`；页面里只有一个主业务组件时直接写在对应页面入口中，不要单独拆 `Manager` 组件再传一堆 props。
 - 不要新增只做简单转发的组件，例如只 `return <X>{children}</X>` 或只换个名字透传 props；直接在使用处使用真实组件或把逻辑写进当前文件。
 - 页面私有 hook 放在对应页面目录下，例如 `admin/assets/use-admin-assets.ts`；只有多个页面真实复用的 hook 才放到外层 `hooks/`。
 - 管理后台页面私有组件放到各自页面目录的 `components/` 下，例如 `admin/assets/components/`、`admin/prompts/components/`；不要为了单页面使用放到 `admin/components/` 共享目录。
@@ -59,20 +50,21 @@
 - 优先使用 `canvasThemes`、`useThemeStore` 或 Ant Design `ConfigProvider` token。
 - 不要硬编码黑白、stone、slate 等颜色导致浅色/深色主题不一致。
 - 新增画布按钮、弹窗、浮层时，尽量复用已有工具栏、节点面板、Modal 的视觉风格。
+- 画布顶部工具栏和状态信息优先采用极简扁平风格：无边框、无阴影、无胶囊背景，融入整体背景，弱化按钮感，仅保留轻微 hover 反馈，保持简洁现代、低视觉重量。
 - 图片节点尺寸逻辑要尊重原始比例，除非功能明确要求自由变形。
 - 批量生成、多图展示、助手面板等画布交互要尽量简洁，不要占用过多画布空间。

 ## 文档规范

 - README 保持简洁，只放项目介绍、核心功能、快速开始和文档入口。
- 详细功能介绍写到 `docs/features.md`。
- 后续待办写到 `docs/todo.md`。
- 已实现但还需要用户测试确认的事项写到 `docs/pending-test.md`。
- `docs/pending-test.md` 用来记录这个版本实际做了哪些可测试变更；`CHANGELOG.md` 的 `Unreleased` 只保留对这些变更的版本级归纳，避免逐条照搬实现细节。
- 每次 todo 事项完成后，先从 `docs/todo.md` 移到 `docs/pending-test.md`，不要直接写进正式功能说明；用户确认测试通过后再更新 `docs/features.md`。
- 每次任务完成前，都要根据实际变更检查并更新 `docs/todo.md` 和 `docs/pending-test.md`；如果功能或待办没有变化，也要确认无需修改。
- 接口响应规则写到 `docs/api-response.md`。
- 数据库结构写到 `docs/backend-database.md`。
+- `docs/index.md` 放给 AI 使用的文档索引，不要再放到 `docs/content/docs/` 内容目录里。
+- 详细功能介绍写到 `docs/content/docs/overview/features.mdx`。
+- 后续待办写到 `docs/content/docs/progress/todo.mdx`。
+- 已实现但还需要用户测试确认的事项写到 `docs/content/docs/progress/pending-test.mdx`。
+- `docs/content/docs/progress/pending-test.mdx` 用来记录这个版本实际做了哪些可测试变更；`CHANGELOG.md` 的 `Unreleased` 只保留对这些变更的版本级归纳，避免逐条照搬实现细节。
+- 每次重大改动（新增/调整/删除功能、接口或工具，影响用户可感知行为）完成后，都要在 `CHANGELOG.md` 的 `Unreleased` 追加一条记录，按 `[新增]` / `[调整]` / `[修复]` / `[优化]` 前缀分类，用一句中文归纳；纯内部重构、格式化、无用户可感知影响的小改动可不记。
+- 每次 todo 事项完成后，先从 `docs/content/docs/progress/todo.mdx` 移到 `docs/content/docs/progress/pending-test.mdx`，不要直接写进正式功能说明；用户确认测试通过后再更新 `docs/content/docs/overview/features.mdx`。
+- 每次任务完成前，都要根据实际变更检查并更新 `docs/content/docs/progress/todo.mdx` 和 `docs/content/docs/progress/pending-test.mdx`；如果功能或待办没有变化，也要确认无需修改。
 - 文档不要写过期日期；除非用户明确要求记录具体时间。

 ## 发版本流程
@@ -2,6 +2,138 @@

 ## Unreleased

+## v0.8.2 - 2026-07-16
+
+ [新增] 图像设置新增「透明背景」开关,开启后生成无背景的透明图像。
+ [修复] 画布节点提示词输入框补上悬停文本光标。
+ [优化] 画布节点输入区域移除灰色底色与边框、美化样式。
+
+## v0.8.1 - 2026-07-16
+
+ [新增] 插件 SDK 扩展:AI 生成能力、面板控制能力。
+ [优化] 3D 全景(1.1.0)支持上传与 AI 生成并升级查看器;
+ [优化] HTML 节点(1.2.0)迁移到统一交互开关;
+ [优化] 便利贴(1.1.0)可拖动移动、自选颜色、移除资源角标与衍生功能;
+ [优化] SVG 节点(1.1.0)透明背景融入画布、可拖动、去除默认值;
+ [优化] 画布节点渲染性能:memo 化节点回调,交互时不再全量重渲染;
+ [修复] 修复 Markdown 节点在点击/移动视角时重复渲染导致图片反复请求的问题;
+ [修复] 修复插件版本号显示不更新，插件面板新增可升级绿点提醒。
+
+## v0.8.0 - 2026-07-15
+
+ [新增] 画布节点插件系统:支持通过 URL 动态安装/启用/更新/卸载远程节点插件。
+ [新增] 插件开发 SDK,可用 TypeScript 开发画布节点插件。
+ [新增] 新增 Markdown、SVG、HTML、3D 全景、便利贴等示例插件。
+ [新增] 官方插件注册表:节点插件面板可从项目仓库读取官方插件列表并一键安装。
+ [新增] 在画布右上角工具栏新增「节点插件」入口。
+ [新增] 支持自定义生图/视频接口调用方式以适配不同中转站。
+
+## v0.7.1 - 2026-07-15
+
+ [修复] 修复页面白屏报错的问题。
+
+## v0.7.0 - 2026-07-14
+
+ [新增] Agent 对话消息改用 streamdown 流式渲染，提升Markdown 内容展示效果。
+ [新增] Agent 新增画布、工作台、提示词库和素材等站点级工具。
+ [新增] Agent 面板改为全站常驻右侧栏，开关时同步推动顶栏和页面内容。
+ [新增] Agent 新增 `site_navigate` 工具，支持页面跳转。
+ [新增] Agent 对话运行中支持一键停止，中断当前 Codex turn。
+ [新增] 画布节点支持统一维护名称字段，默认显示在节点上方，并可直接双击名称编辑。
+ [新增] 画布新增组节点，支持节点拖入/拆出分组、拖拽高亮吸附和移动组时带动子节点。
+ [新增] 画布空白区域支持双击打开节点选择菜单，并在点击位置创建节点。
+ [调整] Codex 会话改为站点级连续线程，跨页面和跨画布保持同一上下文。
+ [调整] 移除仅前端调用 OpenAI responses 接口，统一走 MCP + 本地 Codex 链路。
+ [调整] 画布节点顶部工具条改为点击选中节点后显示，避免鼠标经过节点时频繁弹出。
+ [优化] 本地 Agent 连接说明明确区分插件 / 手动 MCP 才会增加 Codex token 消耗。
+ [优化] 优化本地 Agent 连接说明，区分 Codex 插件启动和直接运行 Agent 两种方式。
+ [修复] 修复 Gemini 格式生图时因内置比例列表触发误报导致生成失败的问题。
+
+## v0.6.0 - 2026-07-09
+
+ [新增] 新增Codex App插件支持。
+ [新增] 配置与用户偏好新增独立页面和 Codex 连接配置 Tab。
+ [新增] 新增GitHub Pages 前端静态站点发布 workflow。
+ [新增] 图片切图支持等分线直接拖拽调整，并可新增、删除和重置横向 / 纵向切图线。
+ [调整] Docker 运行镜像改为 nginx 静态托管。
+ [调整] 移除网站Agent模式，专注于连接Codex Agent操作画布
+ [修复] 修复生图工作台重试成功结果刷新后丢失的问题。
+ [修复] 修复 Gemini 调用格式生图未传递尺寸比例配置的问题。
+ [修复] 修复前端 TypeScript 构建报错。
+ [修复] 修复画布生成配置切换文本/视频/音频模式时模型仍显示为生图模型的问题。
+ [修复] 兼容中转站视频任务直接返回视频 URL 且没有 `/content` 接口的情况，并优化失败原因展示。
+
+## v0.5.0 - 2026-07-05
+
+ [新增] 渠道兼容Gemini格式。
+ [调整] 前端从 Next.js 迁移到 Vite，项目改为静态前端构建。
+ [调整] 移除已 404 的 EvoLinkAI 提示词来源。
+
+## v0.4.0 - 2026-06-16
+
+ [新增] 新增网页版Agent Loop模式。
+ [新增] 支持Vercel一键部署。
+ [调整] 移除后端，项目定位为个人画布工具。
+
+## v0.3.0 - 2026-06-15
+
+ [新增] 新增canvas-agent通过codex操作画布。
+
+## v0.2.5 - 2026-06-08
+
+ [新增] 新增图片切图功能。
+ [新增] 支持webdav同步数据。
+ [修复] 修复画布文字节点错误问题。
+
+## v0.2.4 - 2026-06-04
+
+ [新增] 新增图片反推提示词功能。
+
+## v0.2.3 - 2026-06-04
+
+ [新增] 新增图片蒙版局部修改功能。
+ [优化] 优化配置节点@图片功能。
+
+## v0.2.2 - 2026-06-04
+
+ [新增] 新增图片放大工具。
+ [优化] 优化图片工具条，增加自定义功能。
+ [修复] 修复端口冲突问题、pg/mysql未初始化问题。
+
+## v0.2.1 - 2026-06-03
+
+ [新增] 新增文档站点页面。
+ [优化] 优化画布连线交互。
+ [优化] 优化模型选择用户偏好。
+
+## v0.2.0 - 2026-06-01
+
+ [新增] 支持通过火山方舟AgentPlan接入。
+ [新增] 视频生成支持声音、水印及图片/视频/音频参考输入。
+ [新增] 画布新增音频节点。
+ [优化] 图片/视频素材支持 `图片1`编号注入提示词。
+
+## v0.1.1 - 2026-05-30
+
+ [新增] 支持New API跳转并自动填入Base URL和API Key配置。
+
+## v0.1.0 - 2026-05-26
+
+ [优化] 优化我的画布、我的素材导出功能
+ [修复] 修复画布撤销，配置节点等bug问题
+
+## v0.0.9 - 2026-05-26
+
+ [新增] 新增视频创作台页面。
+ [修复] 修复图片节点size参数传递问题。
+
+## v0.0.8 - 2026-05-24
+
+ [新增] 新增用户账号与算力点体系，支持账号密码注册登录、Linux.do OAuth。
+ [新增] 管理后台公开配置支持设置模型算力点、支持计费查询。
+ [新增] 画布右上角展示用户算力点余额，生成按钮会展示本次预计消耗算力点。
+ [新增] 新增视频生成节点。
+
 ## v0.0.7 - 2026-05-23

 + [新增] 管理后台提示词管理支持多选批量删除。
@@ -0,0 +1,91 @@
+# Contributor License Agreement
+
+This Contributor License Agreement ("Agreement") applies to any code,
+documentation, design asset, issue text, pull request, patch, or other
+material ("Contribution") that you submit to the infinite-canvas project
+("Project").
+
+By submitting a Contribution, you agree to the terms below.
+
+## 1. Copyright License
+
+You keep ownership of your Contributions.
+
+You grant the Project maintainers, including the repository owner, a
+perpetual, worldwide, non-exclusive, royalty-free, irrevocable license to use,
+reproduce, modify, prepare derivative works of, publicly display, publicly
+perform, sublicense, distribute, commercialize, and otherwise exploit your
+Contributions as part of the Project and related distributions.
+
+This license allows the maintainers to publish your Contributions under the
+Project's open-source license, currently GNU Affero General Public License
+v3.0, and to use them in commercial, proprietary, privately licensed,
+source-available, or other versions, services, support offerings, or
+derivatives related to the Project.
+
+## 2. Relicensing
+
+You grant the Project maintainers, including the repository owner, the
+perpetual, worldwide, irrevocable right to relicense the Project, in whole or
+in part, under any license terms, whether existing now or created in the
+future.
+
+You agree that your Contributions may be incorporated into and distributed as
+part of versions of the Project released under open-source, source-available,
+proprietary, commercial, private, dual-license, or other licensing models,
+without requiring additional permission, notice, approval, or compensation.
+
+This right includes distribution of the Project as software, hosted services,
+Software-as-a-Service (SaaS), managed services, commercial offerings, OEM
+products, embedded products, and any other form of distribution or use.
+
+## 3. Patent License
+
+If your Contribution is covered by patents that you own or control, you grant
+the Project maintainers and recipients of the Project a perpetual, worldwide,
+non-exclusive, royalty-free, irrevocable patent license to make, use, sell,
+offer for sale, import, and otherwise run, modify, and distribute your
+Contribution as part of the Project.
+
+## 4. Right to Contribute
+
+You represent that:
+
+* You have the legal right to submit the Contribution.
+* The Contribution is your original work, or you have permission to submit it
+  under this Agreement.
+* Any third-party material included in the Contribution is clearly identified
+  and compatible with the Project's license and this Agreement.
+* If you submit a Contribution on behalf of an employer or organization, you
+  are authorized to do so.
+
+## 5. No Obligation
+
+The maintainers are not required to accept, review, merge, publish, or keep any
+Contribution. The maintainers may modify, reject, revert, or remove
+Contributions at their sole discretion.
+
+## 6. No Warranty
+
+You provide your Contributions "as is", without warranties or conditions of any
+kind, express or implied, including warranties of merchantability, fitness for
+a particular purpose, title, and non-infringement.
+
+## 7. How This Agreement Is Accepted
+
+Submitting a pull request, patch, commit, issue attachment, design asset,
+documentation update, or any other Contribution to this repository constitutes
+acceptance of this Agreement.
+
+Maintainers may request explicit confirmation by asking contributors to comment:
+
+```text
+I have read and agree to CLA.md.
+```
+
+or by requiring acceptance through an automated CLA workflow.
+
+## 8. Contact
+
+For questions about this Agreement, contact the maintainers through the
+repository or email `1844025705@qq.com`.
@@ -1,41 +1,18 @@
-# 构建 Next.js 前端产物。
+# 构建 Vite 前端产物。
 FROM oven/bun:1.3.13 AS web-build

 WORKDIR /app/web
 COPY web/package.json web/bun.lock ./
-RUN --mount=type=cache,target=/root/.bun/install/cache bun install --frozen-lockfile --registry=https://registry.npmmirror.com --cache-dir=/root/.bun/install/cache
+RUN --mount=type=cache,target=/root/.bun/install/cache bun install --cache-dir=/root/.bun/install/cache
 COPY VERSION /app/VERSION
 COPY CHANGELOG.md /app/CHANGELOG.md
 COPY web ./
 RUN bun run build

-# 构建 Go 后端入口。
-FROM golang:1.25-alpine AS api-build
+# 运行镜像：只启动静态前端，AI 请求由浏览器前台直连用户自己的接口。
+FROM nginx:1.27-alpine

-WORKDIR /app
-COPY go.mod go.sum ./
-COPY config ./config
-COPY handler ./handler
-COPY middleware ./middleware
-COPY model ./model
-COPY repository ./repository
-COPY router ./router
-COPY service ./service
-COPY main.go ./
-RUN go build -o /server .
-
-# 运行镜像：Next.js 对外监听 3000，Go 只在容器内部监听 8080。
-FROM oven/bun:1.3.13
-
-WORKDIR /app
-COPY VERSION /app/VERSION
-COPY CHANGELOG.md /app/CHANGELOG.md
-COPY --from=api-build /server /app/server
-COPY --from=web-build /app/web /app/web
-ENV PROMPT_DATA_DIR=/app/data/prompts
-RUN apt-get update && apt-get install -y --no-install-recommends ca-certificates && rm -rf /var/lib/apt/lists/*
-RUN mkdir -p /app/data/prompts
+COPY --from=web-build /app/web/dist /usr/share/nginx/html
+COPY nginx.conf /etc/nginx/conf.d/default.conf

 EXPOSE 3000
-# 先启动内部 Go API，再由 Next.js 提供页面并代理 /api/*。
-CMD ["sh", "-c", "PORT=8080 /app/server & cd /app/web && HOSTNAME=0.0.0.0 PORT=3000 bun run start"]
@@ -4,52 +4,80 @@

 <h1 align="center">无限画布 (infinite-canvas)</h1>

+<p align="center">
+  <a href="https://linux.do/"><img src="https://img.shields.io/badge/Linux.do-Community-2b6de8?style=flat-square" alt="Linux.do"></a>
+  <a href="https://render.com/deploy?repo=https://github.com/basketikun/infinite-canvas"><img src="https://img.shields.io/badge/Render-Deploy-46e3b7?style=flat-square&logo=render&logoColor=111111" alt="Deploy to Render"></a>
+  <a href="https://github.com/basketikun/infinite-canvas"><img src="https://img.shields.io/github/stars/basketikun/infinite-canvas?style=flat-square&logo=github" alt="GitHub stars"></a>
+  <a href="https://github.com/basketikun/infinite-canvas/tags"><img src="https://img.shields.io/github/v/tag/basketikun/infinite-canvas?style=flat-square&label=version" alt="Version"></a>
+  <a href="LICENSE"><img src="https://img.shields.io/badge/license-AGPL--3.0-f97316?style=flat-square" alt="License"></a>
+  <a href="https://vite.dev/"><img src="https://img.shields.io/badge/Vite-7-646cff?style=flat-square&logo=vite&logoColor=white" alt="Vite"></a>
+  <a href="https://reactrouter.com/"><img src="https://img.shields.io/badge/React_Router-7-ca4245?style=flat-square&logo=reactrouter&logoColor=white" alt="React Router"></a>
+</p>
+
+<p align="center">
+  <a href="https://trendshift.io/repositories/50077?utm_source=trendshift-badge&amp;utm_medium=badge&amp;utm_campaign=badge-trendshift-50077" target="_blank" rel="noopener noreferrer"><img src="https://trendshift.io/api/badge/trendshift/repositories/50077/daily?language=TypeScript" alt="basketikun%2Finfinite-canvas | Trendshift" width="250" height="55"></a>
+</p>
+
+<p align="center">
+  <a href="docs/content/docs/overview/quick-start.mdx">快速开始</a> · <a href="docs/content/docs/overview/features.mdx">功能介绍</a> · <a href="docs/content/docs/overview/render.mdx">Render 部署</a> · <a href="docs/content/docs/overview/docker.mdx">Docker 部署</a> · <a href="docs/content/docs/canvas/canvas-node-manual.mdx">画布节点操作手册</a> · <a href="docs/content/docs/canvas/canvas-shortcuts.mdx">画布快捷键</a> · <a href="CLA.md">贡献者协议</a> · <a href="SECURITY.md">漏洞提交</a> · <a href="docs/content/docs/progress/todo.mdx">待办事项</a> · <a href="canvas-agent/README.md">本地 Canvas Agent</a> · <a href="plugins/infinite-canvas">Codex app 插件</a>
+</p>
+
 无限画布是一款面向图片创作的开源工作台。它把画布编排、AI 图片生成、参考图编辑、对话助手、提示词库和素材沉淀放在同一个界面里，适合用来探索视觉方案并连续迭代图片结果。

 > [!CAUTION]
-> 项目目前处于开发阶段，不保证历史数据兼容。各种数据库结构和存储格式都可能直接调整，欢迎关注后续更新，当前更适合个人/本地部署，不建议直接公网多人共用。
+> 项目目前处于开发阶段，不保证历史数据兼容。各种本地存储格式都可能直接调整，欢迎关注后续更新，当前更适合个人/本地部署，不建议直接公网多人共用。
 >
 > 如果你需要稳定维护自己的分支，建议自行 fork 后独立开发。二次开发与 PR 请保留原作者信息和前端页面标识。

 ## 核心功能

 - 无限画布：多画布项目、节点拖拽缩放、连线、小地图、撤销重做、导入导出。
- AI 创作：支持 OpenAI 兼容接口的文生图、图生图、参考图编辑和文本问答。
+- AI 创作：浏览器前台直连你配置的 OpenAI 兼容接口，支持文生图、图生图、参考图编辑、文本问答、音频和视频生成；Seedance 2.0 可通过火山方舟 Agent Plan 接入。
 - 画布助手：围绕选中节点和上游节点对话、生图，并把结果插回画布。
- 提示词库：抓取多个 GitHub 开源项目，按案例整理数百个图片提示词。
+- 本地 Agent：通过本机 Canvas Agent 连接 Codex / Claude Code，让 Agent 通过 MCP 操作当前画布；
+- Codex App 插件：提供 Codex app 插件，安装后会自动注册 MCP 并尝试拉起本地 Agent。
+- 提示词库：浏览器前端直连多个 GitHub 开源项目，并缓存到 IndexedDB。

-完整功能说明见 [docs/features.md](docs/features.md)。
+完整功能说明见 [功能介绍](docs/content/docs/overview/features.mdx)。

 如果你在为担心没有合适的生图API来发愁，可以查看该免费生图项目：[chatgpt2api](https://github.com/basketikun/chatgpt2api)

-## 技术栈
-
- 前端：Next.js、React、TypeScript、Tailwind CSS、Ant Design、Zustand、TanStack Query。
- 后端：Go、Gin、GORM。
- 部署：Docker。
-
 ## 快速开始

-[![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://render.com/deploy?repo=https://github.com/basketikun/infinite-canvas)
+AI API Key、Base URL、画布、素材和生成记录默认保存在浏览器本地。
+
+### 本地开发

 ```bash
 git clone git@github.com:basketikun/infinite-canvas.git
 cd infinite-canvas
-cp .env.example .env
-# 修改默认账号密码等信息
-docker-compose up -d
+cd web
+bun install
+bun run dev
 ```

-本地源码构建运行：
+### Docker 运行

 ```bash
-cp .env.example .env
-docker compose -f docker-compose.local.yml up -d --build
+git clone git@github.com:basketikun/infinite-canvas.git
+cd infinite-canvas
+docker compose up -d
 ```

 运行后默认端口3000，可访问 `http://localhost:3000`。

-如需要拉取提示词，可前往:`http://localhost:3000/admin/prompts`
+首次打开后进入右上角配置，填入自己的 OpenAI 兼容 `Base URL` 和 `API Key`。
+
+## New API 自动配置
+
+如果使用 New API，可在 `系统设置 -> 聊天方式 -> 添加聊天设置` 中填入：
+
+```text
+https://canvas.best?apiKey={key}&baseUrl={address}
+```
+
+跳转后会自动打开配置弹窗并填入 API Key 和 Base URL。
+如果自己部署了，可以把 `https://canvas.best` 替换成你部署的地址。

 ## 效果展示

@@ -66,18 +94,34 @@ docker compose -f docker-compose.local.yml up -d --build
    <td width="50%"><img src="https://i.ibb.co/bj30FtS5/5.png" alt="5" border="0"></td>
    <td width="50%"><img src="https://i.ibb.co/hxRvjw51/image.png" alt="image" border="0"></td>
  </tr>
+  <tr>
+    <td width="50%"><img src="https://i.ibb.co/jkWsF8q1/image.png" alt="image" border="0"></td>
+    <td width="50%"><img src="https://i.ibb.co/XrnfXHx7/image.png" alt="image" border="0"></td>
+  </tr>
 </table>

-## 文档
+## 联系方式

- [功能介绍](docs/features.md)
- [部署说明](docs/deployment.md)
- [画布节点操作手册](docs/canvas-node-manual.md)
- [画布快捷键](docs/canvas-shortcuts.md)
- [待办事项](docs/todo.md)
- [后端数据库说明](docs/backend-database.md)
- [系统配置数据结构](docs/system-settings.md)
- [接口响应约定](docs/api-response.md)
+项目定制二次开发需求 / 生图 API 需求可联系。
+
+邮箱：1844025705@qq.com · QQ：1844025705
+
+## 赞助支持
+
+<div align="center">
+
+如果这个项目对你有帮助，欢迎通过爱发电赞助支持，你的每一份鼓励都是持续更新的动力！
+
+<br>
+
+<a href="https://ifdian.net/a/basketikun">
+  <img src="https://img.shields.io/badge/%E7%88%B1%E5%8F%91%E7%94%B5-%E8%B5%9E%E5%8A%A9%E4%BD%9C%E8%80%85-946ce6?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0id2hpdGUiPjxwYXRoIGQ9Ik0xMiAyMS4zNWwtMS40NS0xLjMyQzUuNCAxNS4zNiAyIDEyLjI4IDIgOC41IDIgNS40MiA0LjQyIDMgNy41IDNjMS43NCAwIDMuNDEuODEgNC41IDIuMDlDMTMuMDkgMy44MSAxNC43NiAzIDE2LjUgMyAxOS41OCAzIDIyIDUuNDIgMjIgOC41YzAgMy43OC0zLjQgNi44Ni04LjU1IDExLjU0TDEyIDIxLjM1eiIvPjwvc3ZnPg==&logoColor=white" alt="爱发电赞助" />
+</a>
+
+<br>
+<br>
+
+</div>

 ## 社区支持

@@ -89,7 +133,6 @@ docker compose -f docker-compose.local.yml up -d --build

 本项目使用 GNU Affero General Public License v3.0，见 [LICENSE](LICENSE)。

-
 ## Star History

 <a href="https://www.star-history.com/?repos=basketikun%2Finfinite-canvas&type=date&legend=top-left">
@@ -0,0 +1,80 @@
+# Security Policy
+
+## Supported Versions
+
+infinite-canvas is in active development. Security fixes are accepted for the
+`main` branch and the latest tagged release. Older versions may be handled on a
+best-effort basis.
+
+## Reporting a Vulnerability
+
+Please do not open a public issue with exploit details, credentials, private
+API keys, proof-of-concept code, or screenshots that reveal sensitive data.
+
+Preferred reporting channels:
+
+1. Use GitHub private vulnerability reporting or a GitHub Security Advisory for
+   this repository, if available.
+2. If a private GitHub report is not available, email `1844025705@qq.com` with
+   the subject `[infinite-canvas security]`.
+3. If neither private channel is available, open a public issue that asks for a
+   private contact channel and does not include technical exploit details.
+
+Please include:
+
+- Affected version, commit, branch, or deployment mode.
+- Clear reproduction steps.
+- Impact and attack scenario.
+- Any relevant logs, screenshots, or proof of concept, with secrets removed.
+- Whether the issue affects local-only usage, hosted deployments, browser
+  storage, WebDAV sync, AI provider configuration, or API proxy behavior.
+
+## Scope
+
+### Canvas node plugins
+
+The canvas supports third-party node plugins loaded from a remote URL. By
+design, an installed plugin's code runs directly inside the web app with full
+access to the page, including locally stored data such as AI API keys. This is
+an intentional trade-off for extensibility, and the installer shows a warning
+before installing. Therefore:
+
+- Only install plugins from sources you trust.
+- Reports that a *malicious plugin* can access page data or API keys are **out
+  of scope** — that is the documented behavior of the trust model.
+- Reports **in scope** include: the app loading/executing plugin code without
+  the install confirmation, a plugin escaping its declared node type to break
+  core app integrity in ways not implied by "runs in the page", or the plugin
+  source cache being writable by an unrelated origin.
+
+Examples of in-scope reports:
+
+- Cross-site scripting or token exfiltration in the web app.
+- Exposure of locally stored API keys or synced canvas data caused by project
+  code.
+- Unsafe file handling, import/export behavior, or WebDAV proxy behavior.
+- Authentication, authorization, or access-control flaws in project-managed
+  features.
+- Supply-chain issues that are exploitable through this repository's shipped
+  code or default configuration.
+
+Examples that are usually out of scope:
+
+- Vulnerabilities in third-party AI providers, model APIs, hosting platforms,
+  or browser extensions outside this repository.
+- Compromise of a user's own API key outside the app.
+- Denial-of-service reports that require unrealistic traffic volume or physical
+  access to the user's device.
+- Missing security headers without a demonstrated exploit path.
+- Social engineering, phishing, spam, or account recovery requests.
+- Dependency reports without a practical impact on this project.
+
+## Disclosure
+
+The maintainers aim to acknowledge valid reports within 7 days and coordinate a
+fix before public disclosure. Response and fix timelines are best effort for
+this community project.
+
+Please allow time for investigation and remediation before publishing details.
+Credit will be given on request unless you prefer to remain anonymous.
+
@@ -1 +1 @@
-v0.0.6
+v0.8.2
@@ -0,0 +1,2 @@
+dist
+node_modules
@@ -0,0 +1,149 @@
+# Infinite Canvas Agent
+
+本地 Canvas Agent 用来连接画布网页和用户电脑上的 Codex / Claude Code。本地开发时优先连接 `http://localhost:3000`，不需要先使用线上站点。
+
+## 启动
+
+```bash
+npx -y @basketikun/canvas-agent
+```
+
+本仓库开发时也可以直接运行：
+
+```bash
+cd canvas-agent
+npm install
+npm run build
+node dist/index.js
+```
+
+启动后会输出本机地址和 token：
+
+```txt
+Local URL: http://127.0.0.1:17371
+Connect token: xxxxxx
+```
+
+在画布右上角点击 `Agent`，填入地址和 token 后连接。
+
+Codex app 插件会读取启动输出里的 Local URL 和 Connect token，并直接打开画布网页地址；Canvas Agent 不负责生成画布打开 URL。
+
+Canvas Agent 默认只监听 `127.0.0.1`。网页第一次带正确 token 连接后，Canvas Agent 会记录该网页 Origin；之后其他 Origin 不能复用这个本地 Agent，除非用户清理 `~/.infinite-canvas/canvas-agent.json` 里的 `origins`。
+
+## 发布
+
+`canvas-agent` 使用自己的 `package.json` 版本号，不跟仓库根目录 `VERSION` 绑定。推送到 `main` 后，GitHub Actions 会检查 npm 上是否已经存在当前包版本；不存在时才发布 `@basketikun/canvas-agent`。
+
+发布前需要在 GitHub 仓库 Secrets 中配置 `NPM_TOKEN`。
+
+## Codex MCP
+
+如果希望 Codex 终端能直接操作画布，需要先把 Canvas Agent 注册成 Codex MCP。
+
+直接运行 `npx -y @basketikun/canvas-agent` 只启动本地 Agent 服务，不会安装 MCP，也不会增加 Codex 工具上下文。只有安装 Codex app 插件，或手动执行 `codex mcp add` 后，`infinite-canvas` 工具才会进入 Codex 上下文；由于工具较多，不使用时建议移除。
+
+通过插件安装时移除插件：
+
+```bash
+codex plugin remove infinite-canvas
+```
+
+手动添加 MCP 时移除 MCP：
+
+```bash
+codex mcp remove infinite-canvas
+```
+
+### Codex app 插件
+
+仓库内提供了 Codex app 插件：`plugins/infinite-canvas`。在 Codex app 中添加本仓库的 marketplace 后，可以安装 `Infinite Canvas` 插件；插件会注册同一个 `infinite-canvas` MCP，并带上画布操作说明。
+
+添加本地 marketplace 时建议使用仓库绝对路径，避免 Codex 从其他工作目录解析失败：
+
+```bash
+cd /path/to/infinite-canvas
+codex plugin marketplace add "$(pwd)"
+codex plugin add infinite-canvas@infinite-canvas-local
+```
+
+插件默认通过 npm 启动 MCP；这个命令只提供 MCP 工具，不会把 MCP 写入全局配置，也不会在退出时自动卸载：
+
+```bash
+npx -y @basketikun/canvas-agent mcp
+```
+
+使用时可以直接在 Codex 里说“打开 Infinite Canvas”，插件会启动本地 Agent，读取 Local URL 和 Connect token，然后在右侧打开 `https://canvas.best/` 并自动新建、连接画布；只有明确要求使用本地项目时才会启动本地前端。
+
+Canvas Agent 启动后，给 Codex 添加 MCP：
+
+```bash
+codex mcp add infinite-canvas -- npx -y @basketikun/canvas-agent mcp
+```
+
+本仓库开发时可以改成，实际使用建议替换为本机绝对路径：
+
+```bash
+codex mcp add infinite-canvas -- node /path/to/infinite-canvas/canvas-agent/dist/index.js mcp
+```
+
+Canvas Agent 源码使用 TypeScript 编写，MCP 协议层使用官方 `@modelcontextprotocol/sdk`，工具入参使用 `zod` 描述。
+
+如果希望终端里的 Codex 不被 MCP 审批卡住，可以在 `~/.codex/config.toml` 里给这个 MCP 设置自动放行：
+
+```toml
+[mcp_servers.infinite-canvas]
+command = "npx"
+args = ["-y", "@basketikun/canvas-agent", "mcp"]
+default_tools_approval_mode = "approve"
+```
+
+可用工具：
+
+- `canvas_get_state`
+- `canvas_get_selection`
+- `canvas_export_snapshot`
+- `canvas_apply_ops`
+- `canvas_create_text_node`
+- `canvas_create_image_prompt_flow`
+
+`canvas_apply_ops` 示例：
+
+```json
+{
+  "ops": [
+    {
+      "type": "add_node",
+      "nodeType": "text",
+      "title": "标题",
+      "position": { "x": 0, "y": 0 },
+      "metadata": { "content": "文本内容" }
+    }
+  ]
+}
+```
+
+## 侧边栏 Codex
+
+本地面板会把提示词发送给 Canvas Agent。Canvas Agent 使用官方 `@openai/codex` CLI 的 `codex app-server --stdio` 启动并复用同一个 Codex thread，启动时会注入 `infinite-canvas` MCP 配置并自动放行 MCP 审批，真正执行画布修改前仍由网页侧边栏二次确认。
+
+侧边栏会展示 Codex 返回的 `thread.started`、`turn.started`、`item.*`、`turn.completed` 等结构化事件；收到 app-server 的 `item/agentMessage/delta` 时，Canvas Agent 会转成 `item.updated`，网页会用同一条消息做真实流式更新，并把工具细节收进运行日志。
+
+侧边栏上传或粘贴的图片会先发到本机 Canvas Agent，再由 Canvas Agent 临时写入本机文件并作为 app-server `localImage` 输入传给 Codex；前端会提示附件体积，单次请求体限制为 30MB。
+
+## Claude Code
+
+Claude Code Adapter 代码暂时保留，但当前网页侧边栏只开放 Codex。后续开放 Claude 入口时，Canvas Agent 会调用本机 `claude -p --output-format stream-json` 并把流式 JSON 事件转发到侧边栏。
+
+如果希望 Claude Code 也能操作画布，需要给 Claude Code 添加同一个 MCP。建议用 user scope，避免 Canvas Agent 从不同目录启动时找不到配置：
+
+```bash
+claude mcp add --scope user --transport stdio infinite-canvas -- npx -y @basketikun/canvas-agent mcp
+```
+
+本仓库开发时可以改成：
+
+```bash
+claude mcp add --scope user --transport stdio infinite-canvas -- node /path/to/infinite-canvas/canvas-agent/dist/index.js mcp
+```
+
+Canvas Agent 调用 Claude Code 时会默认带上 `--allowedTools mcp__infinite-canvas__*`，画布写操作仍由网页侧边栏确认。
@@ -0,0 +1,302 @@
+{
+  "lockfileVersion": 1,
+  "configVersion": 1,
+  "workspaces": {
+    "": {
+      "name": "@basketikun/canvas-agent",
+      "dependencies": {
+        "@modelcontextprotocol/sdk": "^1.12.1",
+        "@openai/codex": "^0.139.0",
+        "express": "^5.1.0",
+        "zod": "^3.25.0",
+      },
+      "devDependencies": {
+        "@types/express": "^5.0.0",
+        "@types/node": "^22.0.0",
+        "tsx": "^4.19.0",
+        "typescript": "^5.8.0",
+      },
+    },
+  },
+  "packages": {
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+
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+
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+    "side-channel": ["side-channel@1.1.1", "https://registry.npmmirror.com/side-channel/-/side-channel-1.1.1.tgz", { "dependencies": { "es-errors": "^1.3.0", "object-inspect": "^1.13.4", "side-channel-list": "^1.0.1", "side-channel-map": "^1.0.1", "side-channel-weakmap": "^1.0.2" } }, "sha512-6x6dK6zJdpTzF4sQeNYxwtvBzf6Eg4GtlesS94HOvTudUeyK2WXAaIfmDgsyslYrRBeFIlsi54AYsFGUuhmvrQ=="],
+
+    "side-channel-list": ["side-channel-list@1.0.1", "https://registry.npmmirror.com/side-channel-list/-/side-channel-list-1.0.1.tgz", { "dependencies": { "es-errors": "^1.3.0", "object-inspect": "^1.13.4" } }, "sha512-mjn/0bi/oUURjc5Xl7IaWi/OJJJumuoJFQJfDDyO46+hBWsfaVM65TBHq2eoZBhzl9EchxOijpkbRC8SVBQU0w=="],
+
+    "side-channel-map": ["side-channel-map@1.0.1", "https://registry.npmmirror.com/side-channel-map/-/side-channel-map-1.0.1.tgz", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "get-intrinsic": "^1.2.5", "object-inspect": "^1.13.3" } }, "sha512-VCjCNfgMsby3tTdo02nbjtM/ewra6jPHmpThenkTYh8pG9ucZ/1P8So4u4FGBek/BjpOVsDCMoLA/iuBKIFXRA=="],
+
+    "side-channel-weakmap": ["side-channel-weakmap@1.0.2", "https://registry.npmmirror.com/side-channel-weakmap/-/side-channel-weakmap-1.0.2.tgz", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "get-intrinsic": "^1.2.5", "object-inspect": "^1.13.3", "side-channel-map": "^1.0.1" } }, "sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A=="],
+
+    "statuses": ["statuses@2.0.2", "https://registry.npmmirror.com/statuses/-/statuses-2.0.2.tgz", {}, "sha512-DvEy55V3DB7uknRo+4iOGT5fP1slR8wQohVdknigZPMpMstaKJQWhwiYBACJE3Ul2pTnATihhBYnRhZQHGBiRw=="],
+
+    "toidentifier": ["toidentifier@1.0.1", "https://registry.npmmirror.com/toidentifier/-/toidentifier-1.0.1.tgz", {}, "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA=="],
+
+    "tsx": ["tsx@4.22.4", "https://registry.npmmirror.com/tsx/-/tsx-4.22.4.tgz", { "dependencies": { "esbuild": "~0.28.0" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "bin": { "tsx": "dist/cli.mjs" } }, "sha512-X8EX+XV4QR5xCsrgxaED954zTDfY8KqlDtskKEL0cHhyS/P8b4IFOvGDQpsC9Q1XnLq915wEfwwY/zzskCtmhg=="],
+
+    "type-is": ["type-is@2.1.0", "https://registry.npmmirror.com/type-is/-/type-is-2.1.0.tgz", { "dependencies": { "content-type": "^2.0.0", "media-typer": "^1.1.0", "mime-types": "^3.0.0" } }, "sha512-faYHw0anBbc/kWF3zFTEnxSFOAGUX9GFbOBthvDdLsIlEoWOFOtS0zgCiQYwIskL9iGXZL3kAXD8OoZ4GmMATA=="],
+
+    "typescript": ["typescript@5.9.3", "https://registry.npmmirror.com/typescript/-/typescript-5.9.3.tgz", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw=="],
+
+    "undici-types": ["undici-types@6.21.0", "https://registry.npmmirror.com/undici-types/-/undici-types-6.21.0.tgz", {}, "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ=="],
+
+    "unpipe": ["unpipe@1.0.0", "https://registry.npmmirror.com/unpipe/-/unpipe-1.0.0.tgz", {}, "sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ=="],
+
+    "vary": ["vary@1.1.2", "https://registry.npmmirror.com/vary/-/vary-1.1.2.tgz", {}, "sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg=="],
+
+    "which": ["which@2.0.2", "https://registry.npmmirror.com/which/-/which-2.0.2.tgz", { "dependencies": { "isexe": "^2.0.0" }, "bin": { "node-which": "./bin/node-which" } }, "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA=="],
+
+    "wrappy": ["wrappy@1.0.2", "https://registry.npmmirror.com/wrappy/-/wrappy-1.0.2.tgz", {}, "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="],
+
+    "zod": ["zod@3.25.76", "https://registry.npmmirror.com/zod/-/zod-3.25.76.tgz", {}, "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ=="],
+
+    "zod-to-json-schema": ["zod-to-json-schema@3.25.2", "https://registry.npmmirror.com/zod-to-json-schema/-/zod-to-json-schema-3.25.2.tgz", { "peerDependencies": { "zod": "^3.25.28 || ^4" } }, "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA=="],
+
+    "type-is/content-type": ["content-type@2.0.0", "https://registry.npmmirror.com/content-type/-/content-type-2.0.0.tgz", {}, "sha512-j/O/d7GcZCyNl7/hwZAb606rzqkyvaDctLmckbxLzHvFBzTJHuGEdodATcP3yIRoDrLHkIATJuvzbFlp/ki2cQ=="],
+  }
+}
@@ -0,0 +1,38 @@
+{
+  "name": "@basketikun/canvas-agent",
+  "version": "0.2.0",
+  "type": "module",
+  "main": "./dist/index.js",
+  "types": "./dist/index.d.ts",
+  "bin": {
+    "canvas-agent": "./dist/index.js"
+  },
+  "files": [
+    "dist",
+    "README.md"
+  ],
+  "scripts": {
+    "dev": "tsx src/index.ts",
+    "build": "tsc -p tsconfig.json",
+    "start": "node dist/index.js",
+    "prepack": "npm run build"
+  },
+  "dependencies": {
+    "@modelcontextprotocol/sdk": "^1.12.1",
+    "@openai/codex": "^0.139.0",
+    "express": "^5.1.0",
+    "zod": "^3.25.0"
+  },
+  "devDependencies": {
+    "@types/express": "^5.0.0",
+    "@types/node": "^22.0.0",
+    "tsx": "^4.19.0",
+    "typescript": "^5.8.0"
+  },
+  "engines": {
+    "node": ">=18"
+  },
+  "publishConfig": {
+    "access": "public"
+  }
+}
@@ -0,0 +1,524 @@
+import { spawn, type ChildProcess, type StdioOptions } from "node:child_process";
+import fs from "node:fs/promises";
+import os from "node:os";
+import path from "node:path";
+import { createRequire } from "node:module";
+import { fileURLToPath } from "node:url";
+
+import { AGENT_PROMPT, VERSION } from "./config.js";
+import type { AgentAttachment, AgentEmit } from "./types.js";
+
+type Json = Record<string, unknown>;
+type AgentEvent = Json & { type: string; usage?: unknown };
+type PendingRequest = { resolve: (value: unknown) => void; reject: (error: Error) => void };
+type CodexRunOptions = { threadId?: string; cwd?: string };
+type AgentHistoryMessage = { id: string; role: "user" | "assistant" | "tool" | "error"; title?: string; text: string; detail?: unknown; streamId?: string };
+
+let codexQueue: Promise<unknown> = Promise.resolve();
+let codexApp: CodexAppClient | null = null;
+let codexThreadId = "";
+const canvasAgentMcp = canvasAgentMcpCommand();
+const require = createRequire(import.meta.url);
+
+export function withAgentPrompt(prompt: string) {
+    return prompt.trim() ? `${AGENT_PROMPT}\n\n用户请求：${prompt}` : "";
+}
+
+export async function runCodexTurn(prompt: string, emit: AgentEmit, attachments: AgentAttachment[] = [], options: CodexRunOptions = {}) {
+    if (!prompt.trim()) return;
+    codexQueue = codexQueue.catch(() => undefined).then(() => runCodexTurnNow(prompt, emit, attachments, options));
+    await codexQueue;
+}
+
+export function interruptCodexTurn() {
+    if (!codexApp) return false;
+    return codexApp.interruptCurrentTurn();
+}
+
+async function runCodexTurnNow(prompt: string, emit: AgentEmit, attachments: AgentAttachment[], options: CodexRunOptions) {
+    let files: string[] = [];
+    try {
+        files = await writeAttachmentFiles(attachments);
+        codexApp ||= await CodexAppClient.start(emit);
+        let threadId = await ensureCodexThread(codexApp, options, emit);
+        try {
+            await codexApp.startTurn(threadId, prompt, files);
+        } catch (error) {
+            if (!isRecoverableThreadError(error)) throw error;
+            emit("agent_log", { text: `Codex thread unavailable, starting a new thread: ${errorMessage(error)}` });
+            codexThreadId = "";
+            threadId = await ensureCodexThread(codexApp, { cwd: options.cwd }, emit);
+            await codexApp.startTurn(threadId, prompt, files);
+        }
+    } catch (error) {
+        emit("agent_error", { message: errorMessage(error) });
+    } finally {
+        await Promise.all(files.map((file) => fs.unlink(file).catch(() => undefined)));
+    }
+}
+
+export async function startCodexThread(emit: AgentEmit, cwd?: string) {
+    codexApp ||= await CodexAppClient.start(emit);
+    const thread = await codexApp.startThread(cwd);
+    codexThreadId = String(field(thread, "id") || "");
+    return thread;
+}
+
+export async function resumeCodexThread(emit: AgentEmit, threadId: string, cwd?: string) {
+    codexApp ||= await CodexAppClient.start(emit);
+    await loadCodexThread(emit, threadId, cwd, false);
+    const thread = await codexApp.resumeThread(threadId, cwd);
+    assertThreadWorkspace(thread, cwd);
+    codexThreadId = String(field(thread, "id") || threadId);
+    return { thread, messages: threadMessages(thread) };
+}
+
+export async function listCodexThreads(emit: AgentEmit, options: { cwd: string; searchTerm?: string; limit?: number }) {
+    codexApp ||= await CodexAppClient.start(emit);
+    const result = await codexApp.listThreads({
+        limit: options.limit || 40,
+        sortKey: "updated_at",
+        sortDirection: "desc",
+        sourceKinds: ["cli", "vscode", "appServer", "exec"],
+        cwd: options.cwd,
+        ...(options.searchTerm ? { searchTerm: options.searchTerm } : {}),
+    });
+    const data = Array.isArray(field(result, "data")) ? (field(result, "data") as unknown[]).map(summarizeCodexThread).filter((thread) => threadInWorkspace(thread, options.cwd)) : [];
+    return { data, nextCursor: field(result, "nextCursor") || null, backwardsCursor: field(result, "backwardsCursor") || null };
+}
+
+export async function readCodexThread(emit: AgentEmit, threadId: string, cwd?: string) {
+    const thread = await loadCodexThread(emit, threadId, cwd, true);
+    return { thread: summarizeCodexThread(thread), messages: threadMessages(thread) };
+}
+
+export async function verifyCodexThreadWorkspace(emit: AgentEmit, threadId: string, cwd: string) {
+    await loadCodexThread(emit, threadId, cwd, false);
+}
+
+export async function archiveCodexThread(emit: AgentEmit, threadId: string, cwd?: string) {
+    codexApp ||= await CodexAppClient.start(emit);
+    await loadCodexThread(emit, threadId, cwd, false);
+    await codexApp.archiveThread(threadId);
+}
+
+export function runClaudeTurn(prompt: string, emit: AgentEmit) {
+    if (!prompt.trim()) return;
+    const child = spawnAgent("claude", ["-p", "--output-format", "stream-json", "--verbose", "--include-partial-messages", "--allowedTools", "mcp__infinite-canvas__*", prompt], ["ignore", "pipe", "pipe"], emit);
+    if (!child) return;
+    pipeJsonLines(child, emit, "claude");
+}
+
+async function ensureCodexThread(app: CodexAppClient, options: CodexRunOptions, emit: AgentEmit) {
+    if (options.threadId) {
+        if (options.threadId === codexThreadId) return codexThreadId;
+        try {
+            const result = await app.readThread(options.threadId, false);
+            assertThreadWorkspace(field(result, "thread") || {}, options.cwd);
+            const thread = await app.resumeThread(options.threadId, options.cwd);
+            assertThreadWorkspace(thread, options.cwd);
+            codexThreadId = String(field(thread, "id") || options.threadId);
+            return codexThreadId;
+        } catch (error) {
+            if (!isRecoverableThreadError(error)) throw error;
+            emit("agent_log", { text: `Codex thread unavailable, starting a new thread: ${errorMessage(error)}` });
+        }
+    }
+    if (!codexThreadId) {
+        const thread = await app.startThread(options.cwd);
+        codexThreadId = String(field(thread, "id") || "");
+    }
+    return codexThreadId;
+}
+
+function isRecoverableThreadError(error: unknown) {
+    return /thread not loaded|no rollout found/i.test(errorMessage(error));
+}
+
+class CodexAppClient {
+    private nextId = 1;
+    private buffer = "";
+    private textByItem = new Map<string, string>();
+    private deltaCount = 0;
+    private lastUsage: unknown = null;
+    private pending = new Map<number, PendingRequest>();
+    private activeTurns = new Map<string, PendingRequest>();
+    private completedTurns = new Map<string, Error | null>();
+
+    private constructor(private child: ChildProcess, private emit: AgentEmit) {}
+
+    static async start(emit: AgentEmit) {
+        const child = spawn(process.execPath, [codexBin(), "app-server", "--stdio"], { stdio: ["pipe", "pipe", "pipe"], windowsHide: true });
+        const client = new CodexAppClient(child, emit);
+        child.stdout?.on("data", (chunk) => client.read(chunk.toString()));
+        child.stderr?.on("data", (chunk) => emit("agent_log", { text: chunk.toString() }));
+        child.on("error", (error) => emit("agent_error", { message: error.message }));
+        child.on("exit", (code) => {
+            client.failAll(`Codex app-server exited: ${code ?? 0}`);
+            codexApp = null;
+            codexThreadId = "";
+            emit("agent_log", { text: `Codex app-server exited: ${code ?? 0}` });
+        });
+        await client.request("initialize", { clientInfo: { name: "canvas-agent", title: "Infinite Canvas Agent", version: VERSION }, capabilities: { experimentalApi: true, requestAttestation: false } });
+        client.notify("initialized");
+        return client;
+    }
+
+    async startThread(cwd?: string) {
+        const result = await this.request("thread/start", { approvalPolicy: "never", sandbox: "workspace-write", config: codexConfig(), ...(cwd ? { cwd } : {}), threadSource: "user" });
+        const thread = field(result, "thread") as Json | undefined;
+        const id = String(field(thread, "id") || "");
+        if (!id) throw new Error("Codex app-server 没有返回 thread id");
+        return thread || {};
+    }
+
+    async resumeThread(threadId: string, cwd?: string) {
+        const result = await this.request("thread/resume", { threadId, approvalPolicy: "never", sandbox: "workspace-write", config: codexConfig(), ...(cwd ? { cwd } : {}) });
+        const thread = field(result, "thread") as Json | undefined;
+        const id = String(field(thread, "id") || "");
+        if (!id) throw new Error("Codex app-server 没有返回 thread id");
+        return thread || {};
+    }
+
+    listThreads(params: Json) {
+        return this.request("thread/list", params);
+    }
+
+    readThread(threadId: string, includeTurns = true) {
+        return this.request("thread/read", { threadId, includeTurns });
+    }
+
+    archiveThread(threadId: string) {
+        return this.request("thread/archive", { threadId });
+    }
+
+    async startTurn(threadId: string, prompt: string, images: string[]) {
+        const result = await this.request("turn/start", { threadId, input: codexInput(prompt, images), approvalPolicy: "never" });
+        const turnId = String(field(field(result, "turn"), "id") || "");
+        if (!turnId) throw new Error("Codex app-server 没有返回 turn id");
+        const completed = this.completedTurns.get(turnId);
+        if (this.completedTurns.has(turnId)) {
+            this.completedTurns.delete(turnId);
+            if (completed) throw completed;
+            return;
+        }
+        await new Promise((resolve, reject) => this.activeTurns.set(turnId, { resolve, reject }));
+    }
+
+    interruptCurrentTurn() {
+        if (this.activeTurns.size === 0) return false;
+        try {
+            this.child.kill("SIGINT");
+            return true;
+        } catch {
+            return false;
+        }
+    }
+
+    private request(method: string, params: unknown) {
+        const id = this.nextId++;
+        this.write({ id, method, params });
+        return new Promise((resolve, reject) => this.pending.set(id, { resolve, reject }));
+    }
+
+    private notify(method: string, params?: unknown) {
+        this.write(params === undefined ? { method } : { method, params });
+    }
+
+    private write(value: unknown) {
+        this.child.stdin?.write(`${JSON.stringify(value)}\n`);
+    }
+
+    private read(chunk: string) {
+        this.buffer += chunk;
+        const lines = this.buffer.split(/\r?\n/);
+        this.buffer = lines.pop() || "";
+        lines.filter(Boolean).forEach((line) => {
+            try {
+                this.handle(JSON.parse(line) as Json);
+            } catch {
+                this.emit("agent_log", { text: line });
+            }
+        });
+    }
+
+    private handle(message: Json) {
+        const id = Number(message.id);
+        if (message.error && this.pending.has(id)) return this.reject(id, String(field(message.error, "message") || "Codex request failed"));
+        if (this.pending.has(id)) return this.resolve(id, message.result);
+        if (typeof message.method === "string" && "id" in message) return this.answerServerRequest(message);
+        if (typeof message.method === "string") this.handleNotification(message.method, (message.params || {}) as Json);
+    }
+
+    private handleNotification(method: string, params: Json) {
+        if (method === "item/agentMessage/delta") return this.emitDelta(params);
+        if (method === "thread/tokenUsage/updated") this.lastUsage = normalizeUsage(params);
+        const event = normalizeCodexNotification(method, params);
+        if (!event) return;
+        if (event.type === "turn.completed") event.usage = this.lastUsage;
+        this.emit("agent_event", { agent: "codex", ...event });
+        if (event.type === "turn.completed") {
+            const turnId = String(field(params, "turnId") || field(field(params, "turn"), "id") || "");
+            const pending = this.activeTurns.get(turnId);
+            const error = field(field(params, "turn"), "error");
+            if (pending) {
+                this.activeTurns.delete(turnId);
+                error ? pending.reject(new Error(String(field(error, "message") || "Codex turn failed"))) : pending.resolve(event);
+            } else if (turnId) {
+                this.completedTurns.set(turnId, error ? new Error(String(field(error, "message") || "Codex turn failed")) : null);
+            }
+            this.emit("agent_event", { agent: "codex", type: "stream.summary", delta_count: this.deltaCount });
+            this.deltaCount = 0;
+            this.emit("agent_done", { agent: "codex", usage: event.usage });
+        }
+    }
+
+    private emitDelta(params: Json) {
+        const id = String(field(params, "itemId") || "");
+        const text = `${this.textByItem.get(id) || ""}${String(field(params, "delta") || "")}`;
+        this.deltaCount += 1;
+        this.textByItem.set(id, text);
+        this.emit("agent_event", { agent: "codex", type: "item.updated", item: { id, type: "agent_message", text } });
+    }
+
+    private answerServerRequest(message: Json) {
+        const method = String(message.method);
+        const result = method === "mcpServer/elicitation/request" ? { action: "accept", content: {}, _meta: null } : { decision: "decline" };
+        this.write({ id: message.id, result });
+        this.emit("agent_event", { agent: "codex", type: "server.request", method, params: message.params, result });
+    }
+
+    private resolve(id: number, result: unknown) {
+        const pending = this.pending.get(id);
+        if (pending) (this.pending.delete(id), pending.resolve(result));
+    }
+
+    private reject(id: number, message: string) {
+        const pending = this.pending.get(id);
+        if (pending) (this.pending.delete(id), pending.reject(new Error(message)));
+    }
+
+    failAll(message: string) {
+        [...this.pending.values(), ...this.activeTurns.values()].forEach((item) => item.reject(new Error(message)));
+        this.pending.clear();
+        this.activeTurns.clear();
+    }
+}
+
+function canvasAgentMcpCommand() {
+    const current = process.argv.find((arg) => /index\.(t|j)s$/.test(arg)) || "";
+    const entry = path.resolve(current || fileURLToPath(new URL("./index.js", import.meta.url)));
+    const tsx = path.join(path.dirname(entry), "..", "node_modules", "tsx", "dist", "cli.mjs");
+    return entry.endsWith(".ts") ? { command: process.execPath, args: [tsx, entry, "mcp"] } : { command: process.execPath, args: [entry, "mcp"] };
+}
+
+function codexConfig() {
+    return { mcp_servers: { "infinite-canvas": { command: canvasAgentMcp.command, args: canvasAgentMcp.args, default_tools_approval_mode: "approve", startup_timeout_sec: 20, tool_timeout_sec: 90 } } };
+}
+
+function codexInput(prompt: string, images: string[]) {
+    return [{ type: "text", text: prompt, text_elements: [] }, ...images.map((file) => ({ type: "localImage", path: file }))];
+}
+
+function normalizeCodexNotification(method: string, params: Json): AgentEvent | null {
+    if (method === "thread/started") return { type: "thread.started", thread_id: field(field(params, "thread"), "id") };
+    if (method === "turn/started") return { type: "turn.started" };
+    if (method === "turn/completed") return { type: "turn.completed", usage: null };
+    if (method === "item/started") return { type: "item.started", item: normalizeItem(field(params, "item")) };
+    if (method === "item/completed") return { type: "item.completed", item: normalizeItem(field(params, "item")) };
+    if (method === "error") return { type: "error", message: field(params, "message") };
+    return null;
+}
+
+async function loadCodexThread(emit: AgentEmit, threadId: string, cwd: string | undefined, includeTurns: boolean) {
+    codexApp ||= await CodexAppClient.start(emit);
+    const result = await codexApp.readThread(threadId, includeTurns);
+    const thread = field(result, "thread") || {};
+    assertThreadWorkspace(thread, cwd);
+    return thread;
+}
+
+function assertThreadWorkspace(thread: unknown, cwd?: string) {
+    if (!cwd || threadInWorkspace(thread, cwd)) return;
+    throw new Error("该 Codex 会话不属于当前画布工作空间");
+}
+
+function threadInWorkspace(thread: unknown, cwd: string) {
+    const threadCwd = String(field(thread, "cwd") || "");
+    return Boolean(threadCwd && path.resolve(threadCwd) === path.resolve(cwd));
+}
+
+function normalizeItem(item: unknown) {
+    const value = item && typeof item === "object" ? { ...(item as Json) } : {};
+    if (value.type === "agentMessage") value.type = "agent_message";
+    if (value.type === "mcpToolCall") value.type = "mcp_tool_call";
+    if (value.type === "agent_message" && typeof value.id === "string") value.text = String(value.text || "");
+    if ("arguments" in value) value.arguments = parseMaybeJson(value.arguments);
+    return value;
+}
+
+function normalizeUsage(params: Json) {
+    const total = field(field(params, "tokenUsage"), "total") as Json | undefined;
+    return {
+        input_tokens: field(total, "inputTokens"),
+        cached_input_tokens: field(total, "cachedInputTokens"),
+        output_tokens: field(total, "outputTokens"),
+        reasoning_output_tokens: field(total, "reasoningOutputTokens"),
+    };
+}
+
+function parseMaybeJson(value: unknown) {
+    if (typeof value !== "string") return value;
+    try {
+        return JSON.parse(value);
+    } catch {
+        return value;
+    }
+}
+
+function field(value: unknown, key: string) {
+    return value && typeof value === "object" ? (value as Json)[key] : undefined;
+}
+
+export function summarizeCodexThread(thread: unknown) {
+    return {
+        id: String(field(thread, "id") || ""),
+        sessionId: String(field(thread, "sessionId") || ""),
+        preview: displayUserText(String(field(thread, "preview") || "")),
+        name: stringOrNull(field(thread, "name")),
+        cwd: String(field(thread, "cwd") || ""),
+        status: String(field(thread, "status") || ""),
+        source: field(thread, "source"),
+        threadSource: field(thread, "threadSource"),
+        createdAt: Number(field(thread, "createdAt") || 0),
+        updatedAt: Number(field(thread, "updatedAt") || 0),
+    };
+}
+
+function threadMessages(thread: unknown): AgentHistoryMessage[] {
+    const turns = arrayValue(field(thread, "turns"));
+    const messages: AgentHistoryMessage[] = [];
+    turns.forEach((turn, turnIndex) => {
+        arrayValue(field(turn, "items")).forEach((item, itemIndex) => {
+            const type = String(field(item, "type") || "");
+            const id = String(field(item, "id") || `${turnIndex}-${itemIndex}`);
+            if (type === "userMessage") {
+                const text = displayUserText(userInputText(field(item, "content")));
+                if (text) messages.push({ id, role: "user", text });
+            }
+            if (type === "agentMessage") {
+                const text = String(field(item, "text") || "").trim();
+                if (text) messages.push({ id, role: "assistant", title: "Codex", text, streamId: id });
+            }
+            if (type === "mcpToolCall") {
+                const tool = String(field(item, "tool") || "工具调用");
+                const error = field(field(item, "error"), "message");
+                messages.push({ id, role: error ? "error" : "tool", title: toolName(tool), text: error ? String(error) : `${toolName(tool)} ${String(field(item, "status") || "完成")}`, detail: item });
+            }
+            if (type === "commandExecution") {
+                const command = String(field(item, "command") || "").trim();
+                if (command) messages.push({ id, role: "tool", title: "命令", text: command, detail: { cwd: field(item, "cwd"), status: field(item, "status"), exitCode: field(item, "exitCode") } });
+            }
+            if (type === "fileChange") messages.push({ id, role: "tool", title: "文件变更", text: "Codex 修改了文件", detail: item });
+        });
+    });
+    return messages.filter((item) => item.text).slice(-120);
+}
+
+function userInputText(content: unknown) {
+    return arrayValue(content)
+        .map((item) => {
+            const type = String(field(item, "type") || "");
+            if (type === "text") return String(field(item, "text") || "");
+            if (type === "image" || type === "localImage") return "图片附件";
+            if (type === "mention") return `@${String(field(item, "name") || "文件")}`;
+            return "";
+        })
+        .filter(Boolean)
+        .join("\n");
+}
+
+function displayUserText(text: string) {
+    const value = text.trim();
+    const marker = "用户请求：";
+    const index = value.lastIndexOf(marker);
+    return (index >= 0 ? value.slice(index + marker.length) : value).trim();
+}
+
+function arrayValue(value: unknown) {
+    return Array.isArray(value) ? value : [];
+}
+
+function stringOrNull(value: unknown) {
+    return typeof value === "string" && value.trim() ? value : null;
+}
+
+function toolName(name: string) {
+    if (name === "canvas_apply_ops") return "画布操作";
+    if (name === "canvas_get_state") return "读取画布";
+    if (name === "canvas_get_selection") return "读取选区";
+    if (name === "canvas_export_snapshot") return "导出快照";
+    if (name === "canvas_create_text_node") return "创建文本";
+    if (name === "canvas_create_image_prompt_flow") return "创建生图流程";
+    if (name === "canvas_create_generation_flow") return "创建生成流程";
+    if (name === "canvas_generate_text") return "生成文本";
+    if (name === "canvas_generate_image") return "生成图片";
+    if (name === "canvas_generate_video") return "生成视频";
+    if (name === "canvas_generate_audio") return "生成音频";
+    if (name === "canvas_run_generation") return "触发生成";
+    return name;
+}
+
+async function writeAttachmentFiles(attachments: AgentAttachment[]) {
+    return await Promise.all(attachments.filter((item) => item.dataUrl?.startsWith("data:image/")).map(writeAttachmentFile));
+}
+
+async function writeAttachmentFile(item: AgentAttachment) {
+    const [, meta = "", data = ""] = item.dataUrl?.match(/^data:([^;]+);base64,(.+)$/) || [];
+    if (!data) throw new Error(`图片附件无效：${item.name || "未命名图片"}`);
+    const file = path.join(os.tmpdir(), `infinite-canvas-${Date.now()}-${Math.random().toString(16).slice(2)}.${imageExt(meta || item.type)}`);
+    await fs.writeFile(file, Buffer.from(data, "base64"));
+    return file;
+}
+
+function imageExt(type = "") {
+    if (type.includes("png")) return "png";
+    if (type.includes("webp")) return "webp";
+    return "jpg";
+}
+
+function codexBin() {
+    return path.join(path.dirname(require.resolve("@openai/codex/package.json")), "bin", "codex.js");
+}
+
+function pipeJsonLines(child: ReturnType<typeof spawn>, emit: AgentEmit, agent: string) {
+    let out = "";
+    child.stdout?.on("data", (chunk) => {
+        out += chunk.toString();
+        const lines = out.split(/\r?\n/);
+        out = lines.pop() || "";
+        lines.filter(Boolean).forEach((line) => {
+            try {
+                emit("agent_event", { agent, ...JSON.parse(line) });
+            } catch {
+                emit("agent_event", { agent, type: "raw", text: line });
+            }
+        });
+    });
+    child.stderr?.on("data", (chunk) => emit("agent_log", { text: chunk.toString() }));
+    child.on("error", (error) => emit("agent_error", { message: error.message }));
+    child.on("close", (code) => emit("agent_done", { agent, code }));
+}
+
+function spawnAgent(name: string, args: string[], stdio: StdioOptions, emit: AgentEmit) {
+    try {
+        return spawn(name, args, { stdio, shell: process.platform === "win32", windowsHide: true });
+    } catch (error) {
+        emit("agent_error", { message: errorMessage(error) });
+        return null;
+    }
+}
+
+function errorMessage(error: unknown) {
+    return error instanceof Error ? error.message : String(error);
+}
@@ -0,0 +1,265 @@
+import crypto from "node:crypto";
+import type { ServerResponse } from "node:http";
+
+import { type ToolName } from "./schemas.js";
+import { compactCanvasState, compactNode, isToolName, nextCanvasX, parseToolInput } from "./tools.js";
+import type { CanvasNode, CanvasNodeType, CanvasSnapshot } from "./types.js";
+
+type PendingRequest = { resolve: (value: unknown) => void; reject: (error: Error) => void };
+
+const SITE_TOOLS = new Set<ToolName>([
+    "site_navigate",
+    "canvas_list_projects",
+    "workbench_image_get_config",
+    "workbench_image_generate",
+    "workbench_video_get_config",
+    "workbench_video_generate",
+    "prompts_search",
+    "assets_list",
+    "assets_add",
+]);
+
+export class CanvasSession {
+    private clients = new Map<string, ServerResponse>();
+    private pending = new Map<string, PendingRequest>();
+    private canvasState: CanvasSnapshot | null = null;
+
+    health() {
+        return { ok: true, hasCanvas: Boolean(this.canvasState), clients: this.clients.size };
+    }
+
+    openEvents(url: URL, res: ServerResponse) {
+        const clientId = url.searchParams.get("clientId") || crypto.randomUUID();
+        const statusOnly = url.searchParams.get("role") === "status";
+        res.writeHead(200, { "Content-Type": "text/event-stream", "Cache-Control": "no-cache", Connection: "keep-alive" });
+        if (!statusOnly) this.clients.set(clientId, res);
+        sendEvent(res, "hello", { ok: true, clientId });
+        const timer = setInterval(() => sendEvent(res, "ping", { time: Date.now() }), 15000);
+        res.on("close", () => {
+            clearInterval(timer);
+            if (!statusOnly) this.clients.delete(clientId);
+            if (this.canvasState?.clientId === clientId) this.canvasState = null;
+        });
+    }
+
+    updateState(body: unknown, clientId?: string) {
+        this.canvasState = { ...((body && typeof body === "object" && !Array.isArray(body) ? body : {}) as Record<string, unknown>), clientId } as CanvasSnapshot;
+    }
+
+    resolveResult(body: { requestId?: string; error?: string; result?: unknown }) {
+        const item = body.requestId ? this.pending.get(body.requestId) : null;
+        if (!item || !body.requestId) return;
+        this.pending.delete(body.requestId);
+        body.error ? item.reject(new Error(body.error)) : item.resolve(body.result);
+    }
+
+    emitAll(type: string, payload: unknown) {
+        this.clients.forEach((client) => sendEvent(client, type, payload));
+    }
+
+    async callTool(name: unknown, rawInput: unknown) {
+        if (!isToolName(name)) throw new Error(`未知工具：${String(name)}`);
+        let tool: ToolName = name;
+        let input = parseToolInput(tool, rawInput) as Record<string, unknown>;
+        if (SITE_TOOLS.has(tool)) {
+            if (!this.clients.size) throw new Error("当前没有已连接网页");
+            return await this.requestCanvasTool(tool, input);
+        }
+        const readTool = ["canvas_get_state", "canvas_get_selection", "canvas_export_snapshot"].includes(tool);
+        if (readTool && (!this.clients.size || !this.canvasState)) throw new Error("当前没有已连接画布");
+        if (tool === "canvas_get_state" || tool === "canvas_export_snapshot") return compactCanvasState(this.canvasState);
+        if (tool === "canvas_get_selection") {
+            const ids = new Set(this.canvasState?.selectedNodeIds || []);
+            return { nodes: (this.canvasState?.nodes || []).filter((node) => ids.has(node.id)).map(compactNode) };
+        }
+        if (tool === "canvas_create_node") {
+            const data = input as { nodeType: CanvasNodeType; title?: string; x?: number; y?: number; width?: number; height?: number; metadata?: Record<string, unknown> };
+            input = { ops: [{ type: "add_node", nodeType: data.nodeType, title: data.title, position: { x: data.x ?? nextCanvasX(this.canvasState), y: data.y ?? 0 }, width: data.width, height: data.height, metadata: data.metadata }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_create_text_node") {
+            const text = input as { text?: string; x?: number; y?: number; title?: string; width?: number; height?: number };
+            input = { ops: [textNodeOp(text, text.x ?? nextCanvasX(this.canvasState), text.y ?? 0)] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_create_text_nodes") {
+            const data = input as { items: Array<{ text: string; title?: string; x?: number; y?: number; width?: number; height?: number }>; x?: number; y?: number; gap?: number; direction?: "row" | "column" };
+            const x = Number(data.x ?? nextCanvasX(this.canvasState));
+            const y = Number(data.y ?? 0);
+            const gap = Number(data.gap ?? 40);
+            input = {
+                ops: data.items.map((item, index) => textNodeOp(item, item.x ?? (data.direction === "row" ? x + index * (340 + gap) : x), item.y ?? (data.direction === "row" ? y : y + index * (240 + gap)))),
+            };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_create_image_prompt_flow") {
+            input = { ops: generationFlowOps({ ...(input as Record<string, unknown>), mode: "image" }, this.canvasState) };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_create_config_node") {
+            const data = input as Record<string, unknown>;
+            const x = Number(data.x ?? nextCanvasX(this.canvasState));
+            const y = Number(data.y ?? 0);
+            const configId = `config-${crypto.randomUUID()}`;
+            const mode = generationMode(data.mode);
+            const prompt = String(data.prompt || "");
+            input = { ops: [configNodeOp(configId, data, x, y), ...(data.autoRun ? [runGenerationOp(configId, mode, prompt)] : [])] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_create_generation_flow") {
+            input = { ops: generationFlowOps(input as Record<string, unknown>, this.canvasState) };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_generate_text" || tool === "canvas_generate_image" || tool === "canvas_generate_video" || tool === "canvas_generate_audio") {
+            input = { ops: generationFlowOps({ ...(input as Record<string, unknown>), mode: tool.replace("canvas_generate_", ""), autoRun: true }, this.canvasState) };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_update_node") {
+            const data = input as { id: string; patch?: Record<string, unknown>; metadata?: Record<string, unknown> };
+            input = { ops: [{ type: "update_node", id: data.id, patch: data.patch, metadata: data.metadata }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_update_node_text") {
+            const data = input as { id: string; text: string; title?: string };
+            input = { ops: [{ type: "update_node", id: data.id, patch: { ...(data.title ? { title: data.title } : {}) }, metadata: { content: data.text, status: "success" } }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_move_nodes") {
+            const data = input as { items: Array<{ id: string; x?: number; y?: number; dx?: number; dy?: number }> };
+            input = {
+                ops: data.items.map((item) => {
+                    const current = findNode(this.canvasState, item.id);
+                    return { type: "update_node", id: item.id, patch: { position: { x: item.x ?? ((current?.position.x || 0) + (item.dx || 0)), y: item.y ?? ((current?.position.y || 0) + (item.dy || 0)) } } };
+                }),
+            };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_resize_node") {
+            const data = input as { id: string; width: number; height: number; freeResize?: boolean };
+            input = { ops: [{ type: "update_node", id: data.id, patch: { width: data.width, height: data.height }, metadata: data.freeResize === undefined ? undefined : { freeResize: data.freeResize } }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_delete_nodes") {
+            input = { ops: [{ type: "delete_node", ids: (input as { ids: string[] }).ids }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_connect_nodes") {
+            const data = input as { connections: Array<{ fromNodeId: string; toNodeId: string }> };
+            input = { ops: data.connections.map((connection) => ({ type: "connect_nodes", ...connection })) };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_select_nodes") {
+            input = { ops: [{ type: "select_nodes", ids: (input as { ids: string[] }).ids }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_set_viewport") {
+            input = { ops: [{ type: "set_viewport", viewport: (input as { viewport: unknown }).viewport }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_run_generation") {
+            const data = input as { nodeId: string; mode?: string; prompt?: string };
+            input = { ops: [runGenerationOp(data.nodeId, generationMode(data.mode), data.prompt)] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool !== "canvas_apply_ops") throw new Error(`未知工具：${tool}`);
+        if (!this.clients.size) throw new Error("当前没有已连接画布");
+        return await this.requestCanvasTool(tool, input);
+    }
+
+    private async requestCanvasTool(name: ToolName, input: Record<string, unknown>) {
+        const requestId = crypto.randomUUID();
+        const client = this.clients.get(this.canvasState?.clientId || "") || this.clients.values().next().value;
+        if (!client) throw new Error("当前没有已连接画布");
+        sendEvent(client, "tool_call", { requestId, name, input });
+        return await new Promise((resolve, reject) => {
+            const timer = setTimeout(() => {
+                this.pending.delete(requestId);
+                reject(new Error("画布操作超时"));
+            }, 30000);
+            this.pending.set(requestId, { resolve: (value) => (clearTimeout(timer), resolve(value)), reject: (error) => (clearTimeout(timer), reject(error)) });
+        });
+    }
+}
+
+function sendEvent(res: ServerResponse, type: string, payload: unknown) {
+    res.write(`event: ${type}\ndata: ${JSON.stringify(payload)}\n\n`);
+}
+
+function textNodeOp(input: { id?: string; text?: string; title?: string; width?: number; height?: number }, x: number, y: number) {
+    return { type: "add_node", id: input.id, nodeType: "text", title: input.title, position: { x, y }, width: input.width, height: input.height, metadata: { content: input.text || "", status: "success", fontSize: 14 } };
+}
+
+function configNodeOp(id: string, input: Record<string, unknown>, x: number, y: number) {
+    const mode = generationMode(input.mode);
+    const prompt = String(input.prompt || "");
+    return {
+        type: "add_node",
+        id,
+        nodeType: "config",
+        title: String(input.title || generationTitle(mode)),
+        position: { x, y },
+        width: typeof input.width === "number" ? input.width : undefined,
+        height: typeof input.height === "number" ? input.height : undefined,
+        metadata: cleanRecord({
+            generationMode: mode,
+            composerContent: prompt,
+            prompt,
+            status: "idle",
+            model: input.model,
+            size: input.size,
+            quality: input.quality,
+            count: input.count,
+            seconds: input.seconds,
+            vquality: input.vquality,
+            generateAudio: input.generateAudio,
+            watermark: input.watermark,
+            audioVoice: input.audioVoice,
+            audioFormat: input.audioFormat,
+            audioSpeed: input.audioSpeed,
+            audioInstructions: input.audioInstructions,
+        }),
+    };
+}
+
+function generationFlowOps(input: Record<string, unknown>, state: CanvasSnapshot | null) {
+    const mode = generationMode(input.mode);
+    const prompt = String(input.prompt || "");
+    const x = Number(input.x ?? nextCanvasX(state));
+    const y = Number(input.y ?? 0);
+    const textId = `text-${crypto.randomUUID()}`;
+    const configId = `config-${crypto.randomUUID()}`;
+    const referenceNodeIds = Array.isArray(input.referenceNodeIds) ? input.referenceNodeIds.filter((id): id is string => typeof id === "string") : [];
+    const tokens = [`@[node:${textId}]`, ...referenceNodeIds.map((id) => `@[node:${id}]`)];
+    const configInput = { ...input, prompt: tokens.join("\n") };
+    return [
+        textNodeOp({ id: textId, text: prompt, title: String(input.title || "提示词") }, x, y),
+        configNodeOp(configId, configInput, x + 420, y),
+        { type: "connect_nodes", fromNodeId: textId, toNodeId: configId },
+        ...referenceNodeIds.map((fromNodeId) => ({ type: "connect_nodes", fromNodeId, toNodeId: configId })),
+        { type: "select_nodes", ids: [configId] },
+        ...(input.autoRun ? [runGenerationOp(configId, mode, tokens.join("\n"))] : []),
+    ];
+}
+
+function runGenerationOp(nodeId: string, mode: "text" | "image" | "video" | "audio", prompt?: string) {
+    return { type: "run_generation", nodeId, mode, prompt };
+}
+
+function generationMode(value: unknown): "text" | "image" | "video" | "audio" {
+    return value === "text" || value === "video" || value === "audio" ? value : "image";
+}
+
+function generationTitle(mode: "text" | "image" | "video" | "audio") {
+    if (mode === "text") return "文本生成";
+    if (mode === "video") return "视频生成";
+    if (mode === "audio") return "音频生成";
+    return "图片生成";
+}
+
+function findNode(state: CanvasSnapshot | null, id: string): CanvasNode | undefined {
+    return (state?.nodes || []).find((node) => node.id === id);
+}
+
+function cleanRecord(value: Record<string, unknown>) {
+    return Object.fromEntries(Object.entries(value).filter(([, item]) => item !== undefined && item !== ""));
+}
@@ -0,0 +1,67 @@
+import crypto from "node:crypto";
+import fs from "node:fs";
+import os from "node:os";
+import path from "node:path";
+
+export const DEFAULT_PORT = 17371;
+export const CONFIG_DIR = path.join(os.homedir(), ".infinite-canvas");
+export const CONFIG_FILE = path.join(CONFIG_DIR, "canvas-agent.json");
+export const VERSION = readPackageVersion();
+export const AGENT_PROMPT = "你正在帮助用户操作 Infinite Canvas 网站。切换网站页面用 site_navigate，可跳 / (首页)、/canvas (我的画布)、/canvas/:id (指定画布)、/image、/video、/prompts、/assets、/config。需要改动画布时优先使用已配置的 infinite-canvas MCP 工具：先 canvas_get_state 读取当前画布，再根据任务使用 canvas_create_text_node、canvas_generate_text、canvas_generate_image、canvas_generate_video、canvas_generate_audio、canvas_create_generation_flow、canvas_create_config_node、canvas_run_generation、canvas_update_node、canvas_connect_nodes 等通用工具；复杂批量改动再用 canvas_apply_ops，删除连线可用 delete_connections。若当前不在画布页，画布工具会报错，需先用 site_navigate 打开画布。想了解或打开用户已有画布，用 canvas_list_projects 获取画布清单和 id，再用 site_navigate 跳 /canvas/:id 打开。生图工作台可用 workbench_image_get_config 看可选项、workbench_image_generate 填提示词并生成；视频创作台对应 workbench_video_get_config 与 workbench_video_generate；用 prompts_search 分页搜索提示词库；用 assets_list 查看「我的素材」、assets_add 新增文本或图片素材。需要生成内容时直接调用对应生成工具，不要绑定特定业务场景。不要模拟鼠标点击，不要要求用户手动复制 JSON。";
+
+export type SiteWorkspaceConfig = { workspacePath: string; activeThreadId?: string; pinnedThreadIds?: string[] };
+export type CanvasAgentConfig = { url: string; token: string; origins?: string[]; workspace?: SiteWorkspaceConfig };
+
+export function loadConfig(create = false): CanvasAgentConfig {
+    try {
+        return JSON.parse(fs.readFileSync(CONFIG_FILE, "utf8")) as CanvasAgentConfig;
+    } catch {
+        const config = { url: `http://127.0.0.1:${Number(process.env.PORT) || DEFAULT_PORT}`, token: crypto.randomBytes(18).toString("hex") };
+        if (create) saveConfig(config);
+        return config;
+    }
+}
+
+export function saveConfig(config: CanvasAgentConfig) {
+    fs.mkdirSync(CONFIG_DIR, { recursive: true });
+    fs.writeFileSync(CONFIG_FILE, JSON.stringify(config, null, 2));
+}
+
+export function ensureSiteWorkspace(config: CanvasAgentConfig) {
+    const current = config.workspace;
+    if (current?.workspacePath) {
+        const workspacePath = resolveWorkspacePath(current.workspacePath);
+        fs.mkdirSync(workspacePath, { recursive: true });
+        return { ...current, workspacePath };
+    }
+    const workspacePath = path.join(CONFIG_DIR, "codex-workspaces", "site");
+    config.workspace = { workspacePath };
+    fs.mkdirSync(workspacePath, { recursive: true });
+    saveConfig(config);
+    return { workspacePath };
+}
+
+export function updateSiteWorkspace(config: CanvasAgentConfig, patch: Partial<SiteWorkspaceConfig>) {
+    const current = ensureSiteWorkspace(config);
+    const workspacePath = patch.workspacePath ? resolveWorkspacePath(patch.workspacePath) : current.workspacePath;
+    const next = { ...current, ...patch, workspacePath };
+    config.workspace = { workspacePath: next.workspacePath, activeThreadId: next.activeThreadId, pinnedThreadIds: next.pinnedThreadIds };
+    fs.mkdirSync(workspacePath, { recursive: true });
+    saveConfig(config);
+    return config.workspace;
+}
+
+function resolveWorkspacePath(value: string) {
+    if (value === "~") return os.homedir();
+    if (value.startsWith("~/")) return path.join(os.homedir(), value.slice(2));
+    return path.resolve(value);
+}
+
+function readPackageVersion() {
+    try {
+        const pkg = JSON.parse(fs.readFileSync(new URL("../package.json", import.meta.url), "utf8")) as { version?: string };
+        return pkg.version || "0.0.0";
+    } catch {
+        return "0.0.0";
+    }
+}
@@ -0,0 +1,143 @@
+import express, { type NextFunction, type Request, type Response } from "express";
+
+import { DEFAULT_PORT, ensureSiteWorkspace, loadConfig, saveConfig, updateSiteWorkspace, type CanvasAgentConfig } from "./config.js";
+import { CanvasSession } from "./canvas-session.js";
+import { archiveCodexThread, interruptCodexTurn, listCodexThreads, readCodexThread, resumeCodexThread, runClaudeTurn, runCodexTurn, startCodexThread, summarizeCodexThread, verifyCodexThreadWorkspace, withAgentPrompt } from "./agents.js";
+import type { AgentAttachment } from "./types.js";
+
+export function startHttpServer() {
+    const config = loadConfig(true);
+    const port = Number(process.env.PORT) || Number(new URL(config.url).port) || DEFAULT_PORT;
+    config.url = `http://127.0.0.1:${port}`;
+    saveConfig(config);
+
+    const session = new CanvasSession();
+    const emit = (type: string, payload: unknown) => session.emitAll(type, payload);
+    const app = express();
+    app.disable("x-powered-by");
+    app.use(express.json({ limit: "30mb" }));
+    app.use((req, res, next) => {
+        const url = requestUrl(req, config);
+        if (!setCors(req, res, url, config)) return void res.status(403).json({ ok: false, error: "origin not allowed" });
+        if (req.method === "OPTIONS") return void res.json({});
+        next();
+    });
+    app.get("/health", (_req, res) => res.json(session.health()));
+    app.get("/config", (_req, res) => res.json({ ok: true, url: config.url, hasToken: true }));
+    app.use((req, res, next) => {
+        if (validToken(req, requestUrl(req, config), config.token)) return next();
+        res.status(401).json({ ok: false, error: "invalid token" });
+    });
+    app.get("/events", (req, res) => session.openEvents(requestUrl(req, config), res));
+    app.post("/canvas/state", (req, res) => {
+        session.updateState(req.body, String(req.query.clientId || "") || undefined);
+        res.json({ ok: true });
+    });
+    app.post("/canvas/result", (req, res) => {
+        session.resolveResult(req.body);
+        res.json({ ok: true });
+    });
+    app.post("/api/tools", route(async (req, res) => res.json({ ok: true, result: await session.callTool(req.body?.name, req.body?.input || {}) })));
+    app.get("/agent/codex/workspace", (_req, res) => {
+        const workspace = ensureSiteWorkspace(config);
+        res.json({ ok: true, workspace });
+    });
+    app.get("/agent/codex/threads", route(async (req, res) => {
+        const workspace = ensureSiteWorkspace(config);
+        const result = await listCodexThreads(emit, { cwd: workspace.workspacePath, searchTerm: String(req.query.searchTerm || "") });
+        res.json({ ok: true, workspace, ...result });
+    }));
+    app.post("/agent/codex/threads/new", route(async (_req, res) => {
+        const workspace = ensureSiteWorkspace(config);
+        const thread = await startCodexThread(emit, workspace.workspacePath);
+        const activeThreadId = String((thread as Record<string, unknown>).id || "");
+        updateSiteWorkspace(config, { activeThreadId });
+        res.json({ ok: true, workspace: { ...workspace, activeThreadId }, thread: summarizeCodexThread(thread), messages: [] });
+    }));
+    app.get("/agent/codex/threads/:threadId", route(async (req, res) => {
+        const workspace = ensureSiteWorkspace(config);
+        const threadId = routeParam(req.params.threadId);
+        res.json({ ok: true, workspace, ...(await readCodexThread(emit, threadId, workspace.workspacePath)) });
+    }));
+    app.post("/agent/codex/threads/:threadId/resume", route(async (req, res) => {
+        const workspace = ensureSiteWorkspace(config);
+        const threadId = routeParam(req.params.threadId);
+        const result = await resumeCodexThread(emit, threadId, workspace.workspacePath);
+        updateSiteWorkspace(config, { activeThreadId: threadId });
+        res.json({ ok: true, workspace: { ...workspace, activeThreadId: threadId }, ...result });
+    }));
+    app.post("/agent/codex/threads/:threadId/delete", route(async (req, res) => {
+        const workspace = ensureSiteWorkspace(config);
+        const threadId = routeParam(req.params.threadId);
+        await archiveCodexThread(emit, threadId, workspace.workspacePath);
+        if (workspace.activeThreadId === threadId) updateSiteWorkspace(config, { activeThreadId: undefined });
+        res.json({ ok: true });
+    }));
+    app.post("/agent/codex/turn", route(async (req, res) => {
+        const attachments = Array.isArray(req.body?.attachments) ? (req.body.attachments as AgentAttachment[]) : [];
+        const workspace = ensureSiteWorkspace(config);
+        let threadId = String(req.body?.threadId || workspace.activeThreadId || "");
+        if (!threadId) {
+            const thread = await startCodexThread(emit, workspace.workspacePath);
+            threadId = String((thread as Record<string, unknown>).id || "");
+            updateSiteWorkspace(config, { activeThreadId: threadId });
+        } else if (threadId !== workspace.activeThreadId) {
+            await verifyCodexThreadWorkspace(emit, threadId, workspace.workspacePath);
+            updateSiteWorkspace(config, { activeThreadId: threadId });
+        }
+        void runCodexTurn(withAgentPrompt(String(req.body?.prompt || "")), emit, attachments, { threadId, cwd: workspace.workspacePath });
+        res.json({ ok: true, threadId });
+    }));
+    app.post("/agent/codex/interrupt", (_req, res) => {
+        const ok = interruptCodexTurn();
+        res.json({ ok });
+    });
+    app.post("/agent/claude/turn", (req, res) => {
+        runClaudeTurn(withAgentPrompt(String(req.body?.prompt || "")), emit);
+        res.json({ ok: true });
+    });
+    app.use((_req, res) => res.status(404).json({ ok: false, error: "not found" }));
+    app.use((error: Error, _req: Request, res: Response, _next: NextFunction) => res.status(500).json({ ok: false, error: error.message }));
+
+    app.listen(port, "127.0.0.1", () => {
+        console.log("Infinite Canvas Agent");
+        console.log(`Local URL: ${config.url}`);
+        console.log(`Connect token: ${config.token}`);
+        console.log("Codex MCP is not installed by this command.");
+        console.log("Optional MCP add: codex mcp add infinite-canvas -- npx -y @basketikun/canvas-agent mcp");
+        console.log("Remove manually added MCP: codex mcp remove infinite-canvas");
+    });
+}
+
+function route(handler: (req: Request, res: Response) => Promise<unknown>) {
+    return (req: Request, res: Response, next: NextFunction) => void handler(req, res).catch(next);
+}
+
+function routeParam(value: string | string[]) {
+    return Array.isArray(value) ? value[0] || "" : value;
+}
+
+function requestUrl(req: Request, config: CanvasAgentConfig) {
+    return new URL(req.originalUrl || req.url || "/", config.url);
+}
+
+function setCors(req: Request, res: Response, url: URL, config: CanvasAgentConfig) {
+    const origin = req.headers.origin;
+    res.setHeader("Access-Control-Allow-Origin", origin || "*");
+    res.setHeader("Access-Control-Allow-Headers", "content-type,x-canvas-agent-token");
+    res.setHeader("Access-Control-Allow-Methods", "GET,POST,OPTIONS");
+    res.setHeader("Access-Control-Allow-Private-Network", "true");
+    if (!origin || req.method === "OPTIONS" || url.pathname === "/health" || url.pathname === "/config") return true;
+    config.origins ||= [];
+    if (validToken(req, url, config.token) && !config.origins.includes(origin)) {
+        config.origins.push(origin);
+        saveConfig(config);
+    }
+    res.setHeader("Vary", "Origin");
+    return config.origins.includes(origin);
+}
+
+function validToken(req: Request, url: URL, token: string) {
+    const header = req.headers["x-canvas-agent-token"];
+    return url.searchParams.get("token") === token || header === token || (Array.isArray(header) && header.includes(token));
+}
@@ -0,0 +1,6 @@
+#!/usr/bin/env node
+import { startHttpServer } from "./http-server.js";
+import { startMcpServer } from "./mcp-server.js";
+
+if (process.argv[2] === "mcp") await startMcpServer();
+else startHttpServer();
@@ -0,0 +1,29 @@
+import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
+import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
+
+import { AGENT_PROMPT, loadConfig, type CanvasAgentConfig, VERSION } from "./config.js";
+import { toolDescriptions, toolInputSchemas, toolNames, type ToolName } from "./schemas.js";
+
+type CanvasAgentToolResponse = { ok?: boolean; result?: unknown; error?: string };
+
+export async function startMcpServer() {
+    const config = loadConfig(true);
+    const server = new McpServer({ name: "canvas-agent", version: VERSION }, { instructions: AGENT_PROMPT });
+    toolNames.forEach((name) => registerCanvasTool(server, config, name));
+    await server.connect(new StdioServerTransport());
+}
+
+function registerCanvasTool(server: McpServer, config: CanvasAgentConfig, name: ToolName) {
+    const schema = toolInputSchemas[name];
+    server.registerTool(name, { description: toolDescriptions[name], inputSchema: schema.shape }, async (input: unknown) => {
+        const result = await postCanvasAgentTool(config, name, schema.parse(input));
+        return { content: [{ type: "text" as const, text: JSON.stringify(result, null, 2) }] };
+    });
+}
+
+async function postCanvasAgentTool(config: CanvasAgentConfig, name: ToolName, input: unknown) {
+    const res = await fetch(`${config.url}/api/tools`, { method: "POST", headers: { "content-type": "application/json", "x-canvas-agent-token": config.token }, body: JSON.stringify({ name, input }) });
+    const body = (await res.json()) as CanvasAgentToolResponse;
+    if (!body.ok) throw new Error(body.error || "tool call failed");
+    return body.result;
+}
@@ -0,0 +1,156 @@
+import { z } from "zod";
+
+const recordSchema = z.record(z.unknown());
+const positionSchema = z.object({ x: z.number(), y: z.number() });
+const viewportSchema = z.object({ x: z.number(), y: z.number(), k: z.number() });
+const nodeTypeSchema = z.enum(["image", "text", "config", "video", "audio"]);
+const generationModeSchema = z.enum(["text", "image", "video", "audio"]);
+
+export const toolNames = [
+    "site_navigate",
+    "canvas_list_projects",
+    "canvas_get_state",
+    "canvas_get_selection",
+    "canvas_export_snapshot",
+    "canvas_apply_ops",
+    "canvas_create_node",
+    "canvas_create_text_node",
+    "canvas_create_text_nodes",
+    "canvas_create_config_node",
+    "canvas_create_image_prompt_flow",
+    "canvas_create_generation_flow",
+    "canvas_generate_text",
+    "canvas_generate_image",
+    "canvas_generate_video",
+    "canvas_generate_audio",
+    "canvas_update_node",
+    "canvas_update_node_text",
+    "canvas_move_nodes",
+    "canvas_resize_node",
+    "canvas_delete_nodes",
+    "canvas_connect_nodes",
+    "canvas_select_nodes",
+    "canvas_set_viewport",
+    "canvas_run_generation",
+    "workbench_image_get_config",
+    "workbench_image_generate",
+    "workbench_video_get_config",
+    "workbench_video_generate",
+    "prompts_search",
+    "assets_list",
+    "assets_add",
+] as const;
+export type ToolName = (typeof toolNames)[number];
+
+export const canvasOpSchema = z.discriminatedUnion("type", [
+    z.object({ type: z.literal("add_node"), nodeType: nodeTypeSchema.optional(), id: z.string().optional(), title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), position: positionSchema.optional(), metadata: recordSchema.optional() }).passthrough(),
+    z.object({ type: z.literal("update_node"), id: z.string(), patch: recordSchema.optional(), metadata: recordSchema.optional() }).passthrough(),
+    z.object({ type: z.literal("delete_node"), id: z.string().optional(), ids: z.array(z.string()).optional() }).passthrough(),
+    z.object({ type: z.literal("delete_connections"), id: z.string().optional(), ids: z.array(z.string()).optional(), all: z.boolean().optional() }).passthrough(),
+    z.object({ type: z.literal("connect_nodes"), id: z.string().optional(), fromNodeId: z.string(), toNodeId: z.string() }).passthrough(),
+    z.object({ type: z.literal("set_viewport"), viewport: viewportSchema }).passthrough(),
+    z.object({ type: z.literal("select_nodes"), ids: z.array(z.string()) }).passthrough(),
+    z.object({ type: z.literal("run_generation"), nodeId: z.string(), mode: generationModeSchema.optional(), prompt: z.string().optional() }).passthrough(),
+]);
+
+const textNodeSchema = z.object({
+    text: z.string(),
+    title: z.string().optional(),
+    x: z.number().optional(),
+    y: z.number().optional(),
+    width: z.number().optional(),
+    height: z.number().optional(),
+});
+
+const generationOptionsSchema = z.object({
+    model: z.string().optional(),
+    size: z.string().optional(),
+    quality: z.string().optional(),
+    count: z.number().optional(),
+    seconds: z.string().optional(),
+    vquality: z.string().optional(),
+    generateAudio: z.string().optional(),
+    watermark: z.string().optional(),
+    audioVoice: z.string().optional(),
+    audioFormat: z.string().optional(),
+    audioSpeed: z.string().optional(),
+    audioInstructions: z.string().optional(),
+});
+
+const generationFlowSchema = z.object({
+    prompt: z.string(),
+    title: z.string().optional(),
+    x: z.number().optional(),
+    y: z.number().optional(),
+    referenceNodeIds: z.array(z.string()).optional(),
+});
+
+export const toolInputSchemas = {
+    site_navigate: z.object({ path: z.string() }),
+    canvas_list_projects: z.object({ keyword: z.string().optional(), page: z.number().optional(), pageSize: z.number().optional() }),
+    canvas_get_state: z.object({}).passthrough(),
+    canvas_get_selection: z.object({}).passthrough(),
+    canvas_export_snapshot: z.object({}).passthrough(),
+    canvas_apply_ops: z.object({ ops: z.array(canvasOpSchema) }),
+    canvas_create_node: z.object({ nodeType: nodeTypeSchema, title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), metadata: recordSchema.optional() }),
+    canvas_create_text_node: z.object({ text: z.string().optional(), x: z.number().optional(), y: z.number().optional(), title: z.string().optional(), width: z.number().optional(), height: z.number().optional() }),
+    canvas_create_text_nodes: z.object({ items: z.array(textNodeSchema).min(1), x: z.number().optional(), y: z.number().optional(), gap: z.number().optional(), direction: z.enum(["row", "column"]).optional() }),
+    canvas_create_config_node: z.object({ prompt: z.string().optional(), mode: generationModeSchema.optional(), title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
+    canvas_create_image_prompt_flow: z.object({ prompt: z.string(), x: z.number().optional(), y: z.number().optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
+    canvas_create_generation_flow: generationFlowSchema.extend({ mode: generationModeSchema.optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
+    canvas_generate_text: generationFlowSchema.merge(generationOptionsSchema),
+    canvas_generate_image: generationFlowSchema.merge(generationOptionsSchema),
+    canvas_generate_video: generationFlowSchema.merge(generationOptionsSchema),
+    canvas_generate_audio: generationFlowSchema.merge(generationOptionsSchema),
+    canvas_update_node: z.object({ id: z.string(), patch: recordSchema.optional(), metadata: recordSchema.optional() }),
+    canvas_update_node_text: z.object({ id: z.string(), text: z.string(), title: z.string().optional() }),
+    canvas_move_nodes: z.object({ items: z.array(z.object({ id: z.string(), x: z.number().optional(), y: z.number().optional(), dx: z.number().optional(), dy: z.number().optional() })).min(1) }),
+    canvas_resize_node: z.object({ id: z.string(), width: z.number(), height: z.number(), freeResize: z.boolean().optional() }),
+    canvas_delete_nodes: z.object({ ids: z.array(z.string()).min(1) }),
+    canvas_connect_nodes: z.object({ connections: z.array(z.object({ fromNodeId: z.string(), toNodeId: z.string() })).min(1) }),
+    canvas_select_nodes: z.object({ ids: z.array(z.string()) }),
+    canvas_set_viewport: z.object({ viewport: viewportSchema }),
+    canvas_run_generation: z.object({ nodeId: z.string(), mode: generationModeSchema.optional(), prompt: z.string().optional() }),
+    workbench_image_get_config: z.object({}).passthrough(),
+    workbench_image_generate: z.object({ prompt: z.string(), model: z.string().optional(), quality: z.string().optional(), size: z.string().optional(), count: z.number().optional(), run: z.boolean().optional() }),
+    workbench_video_get_config: z.object({}).passthrough(),
+    workbench_video_generate: z.object({ prompt: z.string(), model: z.string().optional(), size: z.string().optional(), seconds: z.string().optional(), resolution: z.string().optional(), generateAudio: z.boolean().optional(), watermark: z.boolean().optional(), run: z.boolean().optional() }),
+    prompts_search: z.object({ keyword: z.string().optional(), category: z.string().optional(), tags: z.array(z.string()).optional(), page: z.number().optional(), pageSize: z.number().optional() }),
+    assets_list: z.object({ kind: z.enum(["all", "text", "image", "video"]).optional(), keyword: z.string().optional(), page: z.number().optional(), pageSize: z.number().optional() }),
+    assets_add: z.object({ kind: z.enum(["text", "image"]), title: z.string(), content: z.string().optional(), imageUrl: z.string().optional(), tags: z.array(z.string()).optional(), source: z.string().optional(), note: z.string().optional() }),
+} satisfies Record<ToolName, z.AnyZodObject>;
+
+export const toolDescriptions: Record<ToolName, string> = {
+    site_navigate: "跳转网站页面。path 可为 / (首页)、/canvas (我的画布)、/canvas/:id (指定画布)、/image (生图工作台)、/video (视频创作台)、/prompts (提示词库)、/assets (我的素材)、/config (配置)。操作画布前若不在画布页，先用本工具打开画布。",
+    canvas_list_projects: "列出用户全部画布（仅标题、创建/更新时间、节点数、连线数，不含完整数据），支持 keyword 搜索和 page/pageSize 分页。返回的 id 可配合 site_navigate 跳转到 /canvas/:id 打开对应画布。",
+    canvas_get_state: "读取当前网页画布的节点、连线、选区和视口。",
+    canvas_get_selection: "读取当前网页画布选中的节点。",
+    canvas_export_snapshot: "导出当前画布快照，用于理解布局。",
+    canvas_apply_ops: "批量操作当前网页画布。ops 支持 add_node、update_node、delete_node、delete_connections、connect_nodes、set_viewport、select_nodes、run_generation。",
+    canvas_create_node: "创建任意类型节点：text、image、config、video、audio。适合创建占位图、媒体占位、配置节点或自定义 metadata 节点。",
+    canvas_create_text_node: "在当前画布创建单个文本节点。",
+    canvas_create_text_nodes: "批量创建文本节点，适合生成标题、段落、脚本、说明等内容块。",
+    canvas_create_config_node: "创建生成配置节点，可指定 text/image/video/audio 模式和生成参数，可选择立即触发生成。",
+    canvas_create_image_prompt_flow: "创建提示词文本节点和图片生成配置节点，并自动连线，可选择立即触发生图。",
+    canvas_create_generation_flow: "创建通用生成流程：提示词文本节点、生成配置节点、参考节点连线，可用于文案、生图、视频或音频。",
+    canvas_generate_text: "创建通用文本生成流程并立即触发生成。",
+    canvas_generate_image: "创建通用图片生成流程并立即触发生成。",
+    canvas_generate_video: "创建通用视频生成流程并立即触发生成。",
+    canvas_generate_audio: "创建通用音频生成流程并立即触发生成。",
+    canvas_update_node: "更新节点基础字段或 metadata。",
+    canvas_update_node_text: "更新文本节点内容和标题。",
+    canvas_move_nodes: "移动一个或多个节点，支持绝对坐标或 dx/dy 偏移。",
+    canvas_resize_node: "调整节点尺寸。",
+    canvas_delete_nodes: "删除指定节点及相关连线。",
+    canvas_connect_nodes: "批量连接节点。",
+    canvas_select_nodes: "设置当前选中节点。",
+    canvas_set_viewport: "调整画布视口。",
+    canvas_run_generation: "触发指定节点生成，通常用于配置节点或文本/图片/视频/音频节点。",
+    workbench_image_get_config: "读取生图工作台的当前参数和可选项（可用模型、质量、尺寸/宽高比、张数范围），在调用 workbench_image_generate 前先了解可选值。",
+    workbench_image_generate: "在生图工作台填入提示词并按需设置 model、quality、size（如 1:1 或 1024x1024）、count，run 默认 true 会自动点击生成按钮。会自动跳转到生图工作台。生成为异步过程，工具返回代表已提交，结果请在工作台查看。",
+    workbench_video_get_config: "读取视频创作台的当前参数和可选项（可用模型、尺寸/比例、时长、清晰度/分辨率、是否生成声音与水印）。",
+    workbench_video_generate: "在视频创作台填入提示词并按需设置 model、size、seconds、resolution、generateAudio、watermark，run 默认 true 会自动点击生成按钮。会自动跳转到视频创作台。生成为异步过程，工具返回代表已提交。",
+    prompts_search: "搜索提示词库（第三方提示词合集），支持 keyword、category、tags 过滤和 page/pageSize 分页，返回标题、提示词、分类、标签、封面等。",
+    assets_list: "列出用户「我的素材」，支持 kind（text/image/video）过滤、keyword 搜索和 page/pageSize 分页。为控制体积不返回图片/视频原始 data，仅返回封面与元信息。",
+    assets_add: "向「我的素材」新增素材。kind=text 时用 content 传文本内容；kind=image 时用 imageUrl 传图片地址或 dataURL。可附带 title、tags、source、note。",
+};
@@ -0,0 +1,26 @@
+import { toolInputSchemas, toolNames, type ToolName } from "./schemas.js";
+import type { CanvasNode, CanvasSnapshot } from "./types.js";
+
+export function isToolName(name: unknown): name is ToolName {
+    return typeof name === "string" && toolNames.includes(name as ToolName);
+}
+
+export function parseToolInput(name: ToolName, input: unknown) {
+    return toolInputSchemas[name].parse(input ?? {});
+}
+
+export function compactCanvasState(state: CanvasSnapshot | null) {
+    if (!state) throw new Error("当前没有已连接画布");
+    return { ...state, nodes: (state.nodes || []).map(compactNode) };
+}
+
+export function compactNode(node: CanvasNode) {
+    const metadata = { ...(node.metadata || {}) };
+    if (typeof metadata.content === "string" && metadata.content.length > 240) metadata.content = `${metadata.content.slice(0, 120)}...`;
+    return { id: node.id, type: node.type, title: node.title, position: node.position, width: node.width, height: node.height, metadata };
+}
+
+export function nextCanvasX(state: CanvasSnapshot | null) {
+    const nodes = state?.nodes || [];
+    return nodes.length ? Math.max(...nodes.map((node) => node.position.x + node.width)) + 80 : 0;
+}
@@ -0,0 +1,8 @@
+export type Position = { x: number; y: number };
+export type Viewport = { x: number; y: number; k: number };
+export type CanvasNodeType = "image" | "text" | "config" | "video" | "audio";
+export type CanvasNode = { id: string; type: CanvasNodeType; title?: string; position: Position; width: number; height: number; metadata?: Record<string, unknown> };
+export type CanvasConnection = { id: string; fromNodeId: string; toNodeId: string };
+export type CanvasSnapshot = { projectId?: string; title?: string; nodes?: CanvasNode[]; connections?: CanvasConnection[]; selectedNodeIds?: string[]; viewport?: Viewport; clientId?: string };
+export type AgentEmit = (type: string, payload: unknown) => void;
+export type AgentAttachment = { name?: string; type?: string; dataUrl?: string };
@@ -0,0 +1,14 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "NodeNext",
+    "moduleResolution": "NodeNext",
+    "strict": true,
+    "esModuleInterop": true,
+    "declaration": true,
+    "outDir": "dist",
+    "rootDir": "src",
+    "skipLibCheck": true
+  },
+  "include": ["src/**/*.ts"]
+}
@@ -1,45 +0,0 @@
-package config
-
-import (
-	"crypto/rand"
-	"encoding/base64"
-	"strings"
-
-	"github.com/caarlos0/env/v11"
-	"github.com/joho/godotenv"
-)
-
-type Config struct {
-	Port           string `env:"PORT" envDefault:"8080"`
-	AdminUsername  string `env:"ADMIN_USERNAME" envDefault:"admin"`
-	AdminPassword  string `env:"ADMIN_PASSWORD" envDefault:"infinite-canvas"`
-	JWTSecret      string `env:"JWT_SECRET" envDefault:"infinite-canvas"`
-	JWTExpireHours int    `env:"JWT_EXPIRE_HOURS" envDefault:"168"`
-	StorageDriver  string `env:"STORAGE_DRIVER" envDefault:"sqlite"`
-	DatabaseDSN    string `env:"DATABASE_DSN" envDefault:"data/infinite-canvas.db"`
-}
-
-var Cfg Config
-
-func Load() error {
-	_ = godotenv.Load()
-	if err := env.Parse(&Cfg); err != nil {
-		return err
-	}
-	if strings.TrimSpace(Cfg.JWTSecret) == "" || Cfg.JWTSecret == "infinite-canvas" {
-		secret, err := randomSecret()
-		if err != nil {
-			return err
-		}
-		Cfg.JWTSecret = secret
-	}
-	return nil
-}
-
-func randomSecret() (string, error) {
-	buf := make([]byte, 32)
-	if _, err := rand.Read(buf); err != nil {
-		return "", err
-	}
-	return base64.RawURLEncoding.EncodeToString(buf), nil
-}
@@ -4,10 +4,6 @@ services:
    build:
      context: .
      dockerfile: Dockerfile
-    env_file:
-      - .env
-    volumes:
-      - ./data:/app/data
    ports:
      - "3000:3000"
    restart: unless-stopped
@@ -2,10 +2,6 @@ services:
  app:
    image: ghcr.io/basketikun/infinite-canvas:latest
    container_name: infinite-canvas
-    env_file:
-      - .env
-    volumes:
-      - ./data:/app/data
    ports:
      - "3000:3000"
    restart: unless-stopped
@@ -0,0 +1,9 @@
+node_modules
+.next
+out
+.source
+coverage
+*.log
+.env*
+!.env.example
+.DS_Store
@@ -0,0 +1,26 @@
+# deps
+/node_modules
+
+# generated content
+.source
+
+# test & build
+/coverage
+/.next/
+/out/
+/build
+*.tsbuildinfo
+
+# misc
+.DS_Store
+*.pem
+/.pnp
+.pnp.js
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# others
+.env*.local
+.vercel
+next-env.d.ts
@@ -0,0 +1,28 @@
+FROM oven/bun:1.3.13 AS docs-build
+
+WORKDIR /app
+COPY docs/package.json docs/bun.lock ./
+RUN --mount=type=cache,target=/root/.bun/install/cache bun install --frozen-lockfile --ignore-scripts --cache-dir=/root/.bun/install/cache
+COPY docs ./
+COPY CHANGELOG.md /CHANGELOG.md
+RUN bun run postinstall
+RUN bun run build
+
+FROM node:22-bookworm-slim
+
+WORKDIR /app
+ENV NODE_ENV=production
+ENV HOSTNAME=0.0.0.0
+ENV PORT=3000
+RUN groupadd --system --gid 1001 nodejs && useradd --system --uid 1001 --gid nodejs nextjs
+COPY --from=docs-build --chown=nextjs:nodejs /app/public ./public
+COPY --from=docs-build --chown=nextjs:nodejs /app/index.md ./index.md
+COPY --from=docs-build --chown=nextjs:nodejs /app/content ./content
+COPY --from=docs-build --chown=nextjs:nodejs /app/.source ./.source
+COPY --from=docs-build --chown=nextjs:nodejs /app/source.config.ts ./source.config.ts
+COPY --from=docs-build --chown=nextjs:nodejs /CHANGELOG.md /CHANGELOG.md
+COPY --from=docs-build --chown=nextjs:nodejs /app/.next/standalone ./
+COPY --from=docs-build --chown=nextjs:nodejs /app/.next/static ./.next/static
+USER nextjs
+EXPOSE 3000
+CMD ["node", "server.js"]
@@ -0,0 +1,52 @@
+# docs
+
+This is a Next.js application generated with
+[Create Fumadocs](https://github.com/fuma-nama/fumadocs).
+
+It runs as a server-backed Next.js docs site and is configured for standalone
+output. Route handlers such as search and LLM text remain available at runtime.
+
+Run development server:
+
+```bash
+bun run dev
+```
+
+Build and run local production server:
+
+```bash
+bun run build
+bun run start
+```
+
+Run the published image with Docker Compose:
+
+```bash
+docker compose up -d
+```
+
+Or build locally with Docker Compose:
+
+```bash
+docker compose -f docker-compose.local.yml up -d --build
+```
+
+## Explore
+
+In the project, you can see:
+
+- `lib/source.ts`: Code for content source adapter, `loader()` provides the interface to access your content.
+- `lib/layout.shared.tsx`: Shared options for layouts, optional but preferred to keep.
+
+| Route                     | Description                                            |
+| ------------------------- | ------------------------------------------------------ |
+| `app/(home)`              | The route group for your landing page and other pages. |
+| `app/docs`                | The documentation layout and pages.                    |
+| `app/api/search/route.ts` | The Route Handler for search.                          |
+
+### Fumadocs MDX
+
+A `source.config.ts` config file has been included, you can customise different
+options like frontmatter schema.
+
+Read the [Introduction](https://fumadocs.dev/docs/mdx) for further details.
@@ -1,19 +0,0 @@
-# 前后端接口响应约定
-
-后端业务接口统一返回 JSON：
-
-```json
-{
-  "code": 0,
-  "data": {},
-  "msg": "ok"
-}
-```
-
- `code`: 业务状态码，`0` 表示成功，非 `0` 表示失败。
- `data`: 业务数据。失败时通常为 `null`。
- `msg`: 响应消息。成功默认为 `ok`，失败时放错误原因。
-
-前端请求逻辑以 `code` 判断业务是否成功。当前后端业务失败也会返回 HTTP 200，前端不要只依赖 HTTP 状态码判断结果。
-
-接口连接失败、服务不可达、返回体不是约定 JSON 时，前端按网络或接口异常处理。
@@ -1,283 +0,0 @@
-# 后端数据库说明
-
-本文档记录后端当前已经使用，以及后续规划会用到的主要数据表。
-
-## 数据库
-
-后端使用 GORM 管理数据库连接和表结构迁移。
-
-支持的存储驱动：
-
- `sqlite`
- `mysql`
- `postgresql`
-
-当前启动时执行 `AutoMigrate`，自动维护以下表：
-
- `users`
- `prompts`
- `assets`
- `settings`
-
-后续新增表时，优先保持表数量少，能用字段或 JSON 表达的配置、状态、统计和扩展信息先不拆表。
-
-### users
-
-系统用户表。用户基础信息、角色、算力点余额和邀请关系放在该表中。
-
-| 字段              | 类型     | 说明                       |
-|-----------------|--------|--------------------------|
-| `id`            | string | 主键                       |
-| `username`      | string | 用户名，唯一索引                 |
-| `password`      | string | 密码哈希                     |
-| `email`         | string | 邮箱                       |
-| `display_name`  | string | 昵称                       |
-| `avatar_url`    | string | 头像地址                     |
-| `role`          | string | 角色：`user`、`admin`        |
-| `credits`       | number | 算力点余额，规划字段               |
-| `aff_code`      | string | 用户自己的邀请码，唯一索引，规划字段       |
-| `aff_count`     | number | 已邀请用户数量，冗余统计字段，规划字段      |
-| `inviter_id`    | string | 邀请人用户 ID，规划字段            |
-| `github_id`     | string | GitHub 用户 ID，规划字段        |
-| `linux_do_id`   | string | Linux.do 用户 ID，规划字段      |
-| `wechat_id`     | string | 微信用户 ID，规划字段             |
-| `status`        | string | 用户状态：`active`、`ban`，规划字段 |
-| `last_login_at` | string | 最近登录时间                   |
-| `extra`         | json   | 扩展信息                     |
-| `created_at`    | string | 创建时间                     |
-| `updated_at`    | string | 更新时间                     |
-
-### prompts
-
-提示词表。后续公开提示词、内置 GitHub 系统提示词、分类和扩展信息都优先放在该表字段或 JSON 中。
-
-| 字段           | 类型     | 说明                           |
-|--------------|--------|------------------------------|
-| `id`         | string | 主键                           |
-| `title`      | string | 标题                           |
-| `cover_url`  | string | 封面图                          |
-| `prompt`     | string | 提示词内容                        |
-| `tags`       | json   | 标签列表                         |
-| `category`   | string | 分类标识                         |
-| `visibility` | string | 可见性：公开、私有、系统内置等，规划字段         |
-| `preview`    | text   | Markdown 展示内容，可包含文本、图片、视频链接等 |
-| `extra`      | json   | 扩展信息                         |
-| `created_at` | string | 创建时间                         |
-| `updated_at` | string | 更新时间                         |
-
-`github_url` 仅用于接口返回，不写入数据库。
-
-### assets
-
-素材表。当前用于素材库；后续通过 `user_id`、`visibility`、`type` 区分系统公开素材和用户私有素材。
-
-| 字段               | 类型     | 说明                            |
-|------------------|--------|-------------------------------|
-| `id`             | string | 主键                            |
-| `user_id`        | string | 所属用户，为空或系统用户表示公开素材，规划字段       |
-| `title`          | string | 标题                            |
-| `type`           | string | 素材类型：`text`、`image`、`video` 等 |
-| `visibility`     | string | 可见性：公开、私有，规划字段                |
-| `cover_url`      | string | 封面图                           |
-| `tags`           | json   | 标签列表                          |
-| `category`       | string | 分类标识                          |
-| `description`    | string | 描述                            |
-| `content`        | text   | 文本或 Markdown 内容               |
-| `url`            | string | 图片、视频等媒体地址                    |
-| `like_count`     | number | 点赞量，规划字段                      |
-| `favorite_count` | number | 收藏量，规划字段                      |
-| `view_count`     | number | 查看量，规划字段                      |
-| `extra`          | json   | 扩展信息，规划字段                     |
-| `created_at`     | string | 创建时间                          |
-| `updated_at`     | string | 更新时间                          |
-
-### settings
-
-系统配置表，只保存两行数据：`public` 放前端可读取的公开配置，`private` 放仅后端和管理员可读取的私有配置，配置值都用 JSON。
-
-| 字段           | 类型     | 说明                    |
-|--------------|--------|-----------------------|
-| `key`        | string | 主键：`public`、`private` |
-| `value`      | json   | 配置内容                  |
-| `created_at` | string | 创建时间                  |
-| `updated_at` | string | 更新时间                  |
-
-`public.value` 常放前端展示和可公开读取的配置，例如模型列表、订阅套餐、功能开关等。
-`private.value` 常放渠道密钥、支付配置、奖励规则、后台内部开关等。
-
-当前系统设置接口会按后端结构体序列化和反序列化已知字段；数据库 JSON 中额外存在的旧字段会被忽略。
-
-`public.value` 当前字段：
-
-| 字段                | 类型       | 说明             |
-|-------------------|----------|----------------|
-| `modelChannel` | object | 模型渠道公开配置组 |
-
-`modelChannel` 当前字段：
-
-| 字段                | 类型       | 说明             |
-|-------------------|----------|----------------|
-| `availableModels` | string[] | 系统可用模型列表       |
-| `defaultModel`    | string   | 默认模型           |
-| `defaultImageModel` | string | 默认图片模型         |
-| `defaultTextModel` | string  | 默认文本模型         |
-| `systemPrompt`    | string   | 系统提示词          |
-| `allowCustomChannel` | bool    | 是否允许用户自定义渠道，默认允许，关闭后前端只提供走后端渠道的模式 |
-
-`private.value` 当前字段：
-
-| 字段         | 类型       | 说明       |
-|------------|----------|----------|
-| `channels` | object[] | 模型渠道配置列表 |
-| `promptSync` | object | GitHub 远程提示词定时同步配置 |
-
-`channels` 每项字段：
-
-| 字段       | 类型       | 说明       |
-|----------|----------|----------|
-| `protocol` | string | 协议，当前支持 `openai` |
-| `name`   | string   | 渠道名称     |
-| `baseUrl` | string  | 渠道接口地址   |
-| `apiKey` | string   | 渠道密钥     |
-| `models` | string[] | 渠道可用模型列表 |
-| `weight` | number   | 渠道权重，同一模型命中多个渠道时按权重随机 |
-| `enabled` | bool    | 是否启用     |
-| `remark` | string   | 备注       |
-
-`promptSync` 字段：
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `enabled` | bool | 是否开启定时同步，默认开启 |
-| `cron` | string | Cron 表达式，默认每 5 分钟 |
-
-后端请求模型时，先按模型名筛选启用且包含该模型的渠道，再按 `weight` 加权随机选择一个渠道。
-
-### dicts
-
-字典表。一个字典一行，具体字典项数据放在 `items`。
-
-| 字段           | 类型     | 说明    |
-|--------------|--------|-------|
-| `code`       | string | 字典编码  |
-| `name`       | string | 字典名称  |
-| `remark`     | string | 备注    |
-| `items`      | text   | 字典值数据 |
-| `created_at` | string | 创建时间  |
-| `updated_at` | string | 更新时间  |
-
-可维护分类、标签、业务枚举、模型分类、日志类型等。
-
-### credit_logs
-
-用户算力点变更流水表。充值、消费、订阅扣减、邀请奖励、后台调整等余额变化都写入该表。
-
-| 字段           | 类型     | 说明                       |
-|--------------|--------|--------------------------|
-| `id`         | string | 主键                       |
-| `user_id`    | string | 关联用户 ID                  |
-| `type`       | string | 类型：充值、消费、订阅扣减、邀请奖励、后台调整等 |
-| `amount`     | number | 本次变动数量，增加为正，扣减为负         |
-| `balance`    | number | 变动后的用户算力点余额              |
-| `related_id` | string | 关联订单、任务或日志 ID，可为空        |
-| `remark`     | string | 备注                       |
-| `extra`      | json   | 扩展信息                     |
-| `created_at` | string | 创建时间                     |
-
-### orders
-
-订单表。统一记录充值、订阅购买等支付订单。
-
-| 字段                  | 类型     | 说明                   |
-|---------------------|--------|----------------------|
-| `id`                | string | 主键                   |
-| `user_id`           | string | 关联用户 ID              |
-| `type`              | string | 订单类型：充值、订阅等          |
-| `provider`          | string | 支付渠道：Linux LDC、聚合支付等 |
-| `amount`            | number | 支付金额                 |
-| `credits`           | number | 到账算力点                |
-| `status`            | string | 订单状态：待支付、已支付、失败、关闭等  |
-| `provider_order_id` | string | 第三方订单号               |
-| `extra`             | json   | 扩展信息                 |
-| `created_at`        | string | 创建时间                 |
-| `paid_at`           | string | 支付时间                 |
-| `updated_at`        | string | 更新时间                 |
-
-### subscriptions
-
-用户订阅表。一个用户可以有多个订阅记录，套餐配置放在 `settings.public.value` 中。
-
-| 字段              | 类型     | 说明                                       |
-|-----------------|--------|------------------------------------------|
-| `id`            | string | 主键                                       |
-| `user_id`       | string | 关联用户 ID                                  |
-| `plan_key`      | string | 套餐标识，对应 `settings.public.value` 中的订阅套餐配置 |
-| `order_id`      | string | 关联订单 ID，可为空                              |
-| `status`        | string | 状态：生效中、已过期、已取消等                          |
-| `total_credits` | number | 订阅总额度                                    |
-| `used_credits`  | number | 已使用额度                                    |
-| `started_at`    | string | 开始时间                                     |
-| `expired_at`    | string | 过期时间                                     |
-| `extra`         | json   | 扩展信息                                     |
-| `created_at`    | string | 创建时间                                     |
-| `updated_at`    | string | 更新时间                                     |
-
-### files
-
-文件表。用于统一管理上传图片、视频等文件，保存最终可访问地址。缩略图和视频封面优先按 URL 命名规则推导，特殊情况放在
-`extra.coverUrl`。
-
-| 字段           | 类型     | 说明          |
-|--------------|--------|-------------|
-| `id`         | string | 主键          |
-| `user_id`    | string | 上传用户 ID，可为空 |
-| `name`       | string | 原始文件名       |
-| `url`        | string | 完整可访问地址     |
-| `mime_type`  | string | MIME 类型     |
-| `size`       | number | 文件大小        |
-| `extra`      | json   | 扩展信息        |
-| `created_at` | string | 创建时间        |
-
-### canvases
-
-画布表。保存用户私有画布、公开画布和模板，分享、协作、审核等低频配置放在 `extra`。
-
-| 字段               | 类型     | 说明                                          |
-|------------------|--------|---------------------------------------------|
-| `id`             | string | 主键                                          |
-| `user_id`        | string | 所属用户 ID                                     |
-| `title`          | string | 画布标题                                        |
-| `description`    | string | 描述                                          |
-| `cover_url`      | string | 封面图                                         |
-| `data`           | json   | 画布节点、边、视图等数据                                |
-| `visibility`     | string | 可见性：`private`、`public`                      |
-| `status`         | string | 状态：`draft`、`pending`、`published`、`rejected` |
-| `is_template`    | bool   | 是否模板                                        |
-| `view_count`     | number | 查看量                                         |
-| `like_count`     | number | 点赞量                                         |
-| `favorite_count` | number | 收藏量                                         |
-| `copy_count`     | number | 复制量                                         |
-| `extra`          | json   | 扩展信息，如分享、协作、审核备注等                           |
-| `created_at`     | string | 创建时间                                        |
-| `updated_at`     | string | 更新时间                                        |
-
-### generation_tasks
-
-接口调用队列表。用于图片、文本、图生图等后端模型调用的排队、状态和结果记录。
-
-| 字段            | 类型     | 说明                   |
-|---------------|--------|----------------------|
-| `id`          | string | 主键                   |
-| `user_id`     | string | 发起用户 ID              |
-| `type`        | string | 任务类型：文本生成、文生图、图生图等   |
-| `model`       | string | 使用模型                 |
-| `channel`     | string | 使用渠道                 |
-| `status`      | string | 状态：排队中、执行中、成功、失败、取消等 |
-| `credits`     | number | 扣除算力点                |
-| `input`       | json   | 请求参数                 |
-| `output`      | json   | 生成结果                 |
-| `error`       | string | 错误信息                 |
-| `extra`       | json   | 扩展信息                 |
-| `created_at`  | string | 创建时间                 |
-| `started_at`  | string | 开始时间                 |
-| `finished_at` | string | 完成时间                 |
@@ -0,0 +1,936 @@
+{
+  "lockfileVersion": 1,
+  "configVersion": 1,
+  "workspaces": {
+    "": {
+      "name": "docs",
+      "dependencies": {
+        "@orama/orama": "^3.1.18",
+        "fumadocs-core": "16.9.3",
+        "fumadocs-mdx": "15.0.10",
+        "fumadocs-ui": "16.9.3",
+        "lucide-react": "^1.17.0",
+        "next": "16.2.6",
+        "react": "^19.2.6",
+        "react-dom": "^19.2.6",
+        "tailwind-merge": "^3.6.0",
+      },
+      "devDependencies": {
+        "@tailwindcss/postcss": "^4.3.0",
+        "@types/mdx": "^2.0.13",
+        "@types/node": "^25.9.1",
+        "@types/react": "^19.2.15",
+        "@types/react-dom": "^19.2.3",
+        "postcss": "^8.5.15",
+        "serve": "^14.2.6",
+        "tailwindcss": "^4.3.0",
+        "typescript": "^6.0.3",
+      },
+    },
+  },
+  "packages": {
+    "@alloc/quick-lru": ["@alloc/quick-lru@5.2.0", "", {}, "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw=="],
+
+    "@emnapi/runtime": ["@emnapi/runtime@1.10.0", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-ewvYlk86xUoGI0zQRNq/mC+16R1QeDlKQy21Ki3oSYXNgLb45GV1P6A0M+/s6nyCuNDqe5VpaY84BzXGwVbwFA=="],
+
+    "@esbuild/aix-ppc64": ["@esbuild/aix-ppc64@0.28.0", "", { "os": "aix", "cpu": "ppc64" }, "sha512-lhRUCeuOyJQURhTxl4WkpFTjIsbDayJHih5kZC1giwE+MhIzAb7mEsQMqMf18rHLsrb5qI1tafG20mLxEWcWlA=="],
+
+    "@esbuild/android-arm": ["@esbuild/android-arm@0.28.0", "", { "os": "android", "cpu": "arm" }, "sha512-wqh0ByljabXLKHeWXYLqoJ5jKC4XBaw6Hk08OfMrCRd2nP2ZQ5eleDZC41XHyCNgktBGYMbqnrJKq/K/lzPMSQ=="],
+
+    "@esbuild/android-arm64": ["@esbuild/android-arm64@0.28.0", "", { "os": "android", "cpu": "arm64" }, "sha512-+WzIXQOSaGs33tLEgYPYe/yQHf0WTU0X42Jca3y8NWMbUVhp7rUnw+vAsRC/QiDrdD31IszMrZy+qwPOPjd+rw=="],
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+    "@esbuild/android-x64": ["@esbuild/android-x64@0.28.0", "", { "os": "android", "cpu": "x64" }, "sha512-+VJggoaKhk2VNNqVL7f6S189UzShHC/mR9EE8rDdSkdpN0KflSwWY/gWjDrNxxisg8Fp1ZCD9jLMo4m0OUfeUA=="],
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+    "@esbuild/darwin-arm64": ["@esbuild/darwin-arm64@0.28.0", "", { "os": "darwin", "cpu": "arm64" }, "sha512-0T+A9WZm+bZ84nZBtk1ckYsOvyA3x7e2Acj1KdVfV4/2tdG4fzUp91YHx+GArWLtwqp77pBXVCPn2We7Letr0Q=="],
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+    "@esbuild/darwin-x64": ["@esbuild/darwin-x64@0.28.0", "", { "os": "darwin", "cpu": "x64" }, "sha512-fyzLm/DLDl/84OCfp2f/XQ4flmORsjU7VKt8HLjvIXChJoFFOIL6pLJPH4Yhd1n1gGFF9mPwtlN5Wf82DZs+LQ=="],
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+    "@esbuild/freebsd-arm64": ["@esbuild/freebsd-arm64@0.28.0", "", { "os": "freebsd", "cpu": "arm64" }, "sha512-l9GeW5UZBT9k9brBYI+0WDffcRxgHQD8ShN2Ur4xWq/NFzUKm3k5lsH4PdaRgb2w7mI9u61nr2gI2mLI27Nh3Q=="],
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+    "@esbuild/linux-arm": ["@esbuild/linux-arm@0.28.0", "", { "os": "linux", "cpu": "arm" }, "sha512-CjaaREJagqJp7iTaNQjjidaNbCKYcd4IDkzbwwxtSvjI7NZm79qiHc8HqciMddQ6CKvJT6aBd8lO9kN/ZudLlw=="],
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+    "@esbuild/linux-loong64": ["@esbuild/linux-loong64@0.28.0", "", { "os": "linux", "cpu": "none" }, "sha512-zpSlUce1mnxzgBADvxKXX5sl8aYQHo2ezvMNI8I0lbblJtp8V4odlm3Yzlj7gPyt3T8ReksE6bK+pT3WD+aJRg=="],
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+    "@esbuild/linux-riscv64": ["@esbuild/linux-riscv64@0.28.0", "", { "os": "linux", "cpu": "none" }, "sha512-SQPZOwoTTT/HXFXQJG/vBX8sOFagGqvZyXcgLA3NhIqcBv1BJU1d46c0rGcrij2B56Z2rNiSLaZOYW5cUk7yLQ=="],
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+    "@esbuild/linux-s390x": ["@esbuild/linux-s390x@0.28.0", "", { "os": "linux", "cpu": "s390x" }, "sha512-SCfR0HN8CEEjnYnySJTd2cw0k9OHB/YFzt5zgJEwa+wL/T/raGWYMBqwDNAC6dqFKmJYZoQBRfHjgwLHGSrn3Q=="],
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+    "@esbuild/linux-x64": ["@esbuild/linux-x64@0.28.0", "", { "os": "linux", "cpu": "x64" }, "sha512-us0dSb9iFxIi8srnpl931Nvs65it/Jd2a2K3qs7fz2WfGPHqzfzZTfec7oxZJRNPXPnNYZtanmRc4AL/JwVzHQ=="],
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+    "@fumadocs/tailwind": ["@fumadocs/tailwind@0.0.5", "", { "peerDependencies": { "@tailwindcss/oxide": "^4.0.0", "tailwindcss": "^4.0.0" }, "optionalPeers": ["@tailwindcss/oxide", "tailwindcss"] }, "sha512-ENKPWUDRmriccsrUDE4bDBq3FNr/ms3BP2rWlsAEMV1yP23pcCaan+ceGfeBUsAQjw7sj9Q3R4Kl3g/TCStPzQ=="],
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+    "micromark/debug/ms": ["ms@2.1.3", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
+
+    "ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
+  }
+}
@@ -0,0 +1,29 @@
+---
+title: 商务合作
+description: 商务合作、定制开发和项目接入说明
+---
+
+# 商务合作
+
+如果你希望围绕无限画布做商业合作、私有化部署、二次开发或模型渠道接入，可以直接通过邮箱联系项目维护者。
+
+## 适合沟通的方向
+
+- 私有化部署、内网部署和团队版落地。
+- 定制画布节点、生成流程、素材管理或后台能力。
+- 接入自有 OpenAI 兼容接口、模型渠道或提示词仓库。
+- 围绕 AI 图片、视频、文本生成工作流做联合方案。
+- 商业授权、技术支持、交付咨询或联合方案评估。
+
+## 建议提供的信息
+
+- 你的业务场景和预期用户规模。
+- 需要部署的环境、数据保存方式和安全要求。
+- 需要接入的模型、渠道、支付或账号体系。
+- 期望的交付范围、时间和预算区间。
+
+## 联系方式
+
+请直接发送邮件至 [1844025705@qq.com](mailto:1844025705@qq.com)，并在邮件标题中注明“商务合作”。
+
+如果涉及商业授权或私有化交付，请在邮件中说明计划使用方式和预期交付范围。
@@ -0,0 +1,22 @@
+---
+title: 贡献者协议
+description: 贡献代码、文档或素材前需要了解的 CLA
+---
+
+# 贡献者协议
+
+Contributor License Agreement，见 [CLA.md](https://github.com/basketikun/infinite-canvas/blob/main/CLA.md)。
+
+向本仓库提交 Pull Request、补丁、文档、素材或其他贡献，即表示你同意该协议。维护者也可能要求你在 PR 中明确回复：
+
+```text
+I have read and agree to CLA.md.
+```
+
+## 贡献前请确认
+
+- 你有权提交相关代码、文档或素材。
+- 第三方内容已明确标注来源，并且授权方式与本项目兼容。
+- 提交内容可以随项目以 AGPL-3.0 以及项目相关商业授权方式发布。
+- 安全漏洞不要通过公开 Issue 直接披露细节，请按[漏洞提交](/docs/support/security)流程处理。
+
@@ -0,0 +1,36 @@
+---
+title: 开源协议
+description: 无限画布开源协议和使用边界说明
+---
+
+# 开源协议
+
+无限画布采用 GNU Affero General Public License v3.0（AGPL-3.0）开源协议。你可以在遵守协议要求的前提下自由使用、复制、修改和分发本项目。
+
+## 项目初衷
+
+无限画布保持开源，希望让更多人可以查看和修改代码，不被固定 API 渠道限制，接入自己的 API 与模型渠道，用画布组织提示词、参考图、素材和生成结果，搭建适合自己的 AI 创作工作流。
+
+
+## 使用建议
+
+如果你只是本地学习、研究或自用，可以直接按开源协议使用。
+
+如果你计划将项目用于商业产品、私有化交付、SaaS 服务或长期团队内部系统，建议先确认自己的使用方式是否满足 AGPL-3.0 的开源要求。
+
+如果你的使用场景无法继续开源修改后的代码，或需要闭源交付、商业授权、私有化部署支持、定制开发服务，请查看[商务合作](/docs/business/business)。
+
+
+
+## 什么是 AGPL-3.0
+
+AGPL-3.0 的核心要求可以通俗理解为：
+
+- 开源义务：如果你使用了无限画布的 AGPL 代码，无论你或你的下游如何使用、修改、二次开发或分发，都必须把基于本项目形成的最终代码完整公开出来，不只是公开修改的部分，也不是换个框架重写一遍就能和原始代码脱离关系。
+- 延续协议：基于本项目形成的衍生代码需要继续以 AGPL-3.0 协议开源，不能更换为其他协议，也不能把这部分代码改成闭源授权。
+- 网络服务也要开源：即使你只是把基于本项目修改后的版本做成网站、SaaS 或其他网络服务，只要别人可以通过网络使用这个服务，也需要向这些用户提供对应源代码，并继续遵守 AGPL-3.0。
+- 保留版权声明：不能删除原项目作者信息、版权声明、许可证声明和来源说明，需要让使用者知道代码从哪里来、遵循什么协议。
+- 不能加额外限制：不能给基于本项目形成的 AGPL 代码增加额外限制，例如禁止别人再分发代码，或要求别人购买授权、服务、产品后才能使用这部分开源代码。
+- 免责声明：项目按现状提供，作者不保证代码没有 bug，也不对使用本项目产生的结果、损失或风险负责。
+
+本项目禁止闭源商用。如果你希望将无限画布用于商业项目，请尊重开源，严格遵循 AGPL-3.0 协议，继续开源对应代码，回馈开源社区。
@@ -0,0 +1,10 @@
+{
+  "title": "商务合作",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "license",
+    "cla",
+    "business"
+  ]
+}
@@ -1,3 +1,8 @@
+---
+title: 画布节点操作手册
+description: 当前画布节点的主要用途与操作流程
+---
+
 # 画布节点操作手册

 本文档记录画布节点的主要用途和操作流程，方便使用和后续开发维护。当前先介绍文本节点。
@@ -20,7 +25,7 @@
 - 当文本节点已有内容时，输入框用于填写想把本段文本修改成什么；点击发送后，会在右侧生成新的文本节点，并自动连接原节点和新节点。
 - 输入内容可以手写，也可以从提示词库选择。
 - 对话框里的模型下拉来自全局配置里已拉取的模型列表；选择结果只作用于当前节点，不会修改其它节点或全局默认模型。
- 如果下拉中没有模型，需要先打开配置弹窗拉取模型列表，并设置默认生图模型和默认文本模型。
+- 如果下拉中没有模型，需要先打开配置弹窗拉取模型列表，并设置默认生图模型和默认文本模型。火山方舟 Agent Plan 若提示不支持 `/models`，请手动填写模型名。

 ### 用文本节点生成图片

@@ -39,6 +44,18 @@
 - 每个生成出来的图片节点都会在自身 `metadata` 下记录提示词、生成类型、模型、尺寸、质量、数量和参考图引用，方便后续重试。
 - 如果重试时参考图已经丢失或无法恢复，系统会直接提示，避免误发空的图生图请求。

+### 视频节点
+
+- 工具栏可以新建视频节点，也可以拖入或上传本地视频文件。
+- 视频节点使用原生播放器展示内容，可在节点内直接播放、暂停和拖动进度。
+- 空视频节点下方对话框可输入提示词生成视频，结果会回填到当前节点。
+- 从文本、图片或配置节点创建视频生成时，会在右侧生成新的视频节点并自动连接。
+- 生成配置节点的视频模式会读取上游文本作为 prompt，读取上游图片作为参考图，读取上游视频作为参考视频，并在输入预览里显示参考视频。
+- 视频生成接口支持 OpenAI 风格的 `POST /v1/videos`、`GET /v1/videos/{id}` 和 `GET /v1/videos/{id}/content`。
+- 使用火山方舟 Agent Plan / Seedance 2.0 时，Base URL 配置为 `https://ark.cn-beijing.volces.com/api/plan/v3`，模型名使用 Seedance 2.0 对应模型；系统会改用 `POST /contents/generations/tasks` 创建异步任务，并轮询 `GET /contents/generations/tasks/{id}`。
+- Agent Plan 专属 `/api/plan/v3` 当前未提供 OpenAI `/models` 模型列表接口，配置弹窗不会伪造模型列表；请手动填写 `doubao-seedance-2.0` 或文档列出的其他可用模型。
+- Seedance 参考视频更建议使用公网可访问 URL；本地素材由前端读取后传给兼容接口，是否可用取决于具体上游。
+
 ### 推荐流程

 1. 新建文本节点，写入图片创作想法。
@@ -1,3 +1,8 @@
+---
+title: 画布快捷键
+description: 画布常用鼠标与键盘操作说明
+---
+
 # 画布快捷键

 本文档记录画布里常用的鼠标和键盘操作。
@@ -29,7 +34,7 @@

 - 拖入图片文件：上传图片到画布。
 - 导入图片按钮：从本地选择图片。
- 素材库或我的素材：选择素材后插入画布。
+- 我的素材：选择素材后插入画布。

 ## 撤销和重做范围

@@ -0,0 +1,9 @@
+{
+  "title": "操作手册",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "canvas-node-manual",
+    "canvas-shortcuts"
+  ]
+}
@@ -1,6 +1,11 @@
+---
+title: 画布数据结构
+description: 画布本地存储、节点结构、媒体文件与清理机制
+---
+
 # 画布数据结构

-本文档说明当前画布在前端本地保存的数据结构、图片文件的存储和清理方式，以及后续接入后端存储时建议保持的兼容边界。
+本文档说明当前画布在前端本地保存的数据结构、图片文件的存储和清理方式。

 ## 当前存储位置

@@ -9,8 +14,9 @@
 - 画布项目 JSON：`localForage`，数据库名 `infinite-canvas`，storeName `app_state`，key 为 `infinite-canvas:canvas_store`。
 - 我的素材 JSON：`localForage`，数据库名 `infinite-canvas`，storeName `app_state`，key 为 `infinite-canvas:asset_store`。
 - 图片 Blob：单独存到 `localForage` 实例，数据库名 `infinite-canvas`，storeName `image_files`。
+- 视频等媒体 Blob：单独存到 `localForage` 实例，数据库名 `infinite-canvas`，storeName `media_files`。

-画布 JSON 不直接长期保存大体积 base64 图片。图片节点、助手图片和素材图片只保存展示 URL、`storageKey` 和图片元信息，真实图片 Blob 通过 `storageKey` 读取。
+画布 JSON 不直接长期保存大体积 base64 图片或视频。图片节点、视频节点、助手图片和素材媒体只保存展示 URL、`storageKey` 和元信息，真实 Blob 通过 `storageKey` 读取。

 ## 画布项目结构

@@ -50,7 +56,7 @@ type CanvasProject = {
 ```ts
 type CanvasNodeData = {
  id: string;
-  type: "image" | "text" | "config";
+  type: "image" | "text" | "config" | "video";
  title: string;
  position: { x: number; y: number };
  width: number;
@@ -62,7 +68,7 @@ type CanvasNodeData = {
 通用字段：

 - `id`：节点 ID。
- `type`：节点类型，当前有图片、文本、生成配置三类。
+- `type`：节点类型，当前有图片、文本、生成配置、视频四类。
 - `title`：节点标题。
 - `position`：画布世界坐标，不是屏幕坐标。
 - `width` / `height`：画布世界坐标下的节点尺寸。
@@ -77,7 +83,7 @@ type CanvasNodeMetadata = {
  status?: "idle" | "success" | "loading" | "error";
  errorDetails?: string;
  fontSize?: number;
-  generationMode?: "text" | "image";
+  generationMode?: "text" | "image" | "video";
  model?: string;
  size?: string;
  count?: number;
@@ -99,8 +105,9 @@ type CanvasNodeMetadata = {
 不同节点的使用方式：

 - 图片节点：`content` 是当前可展示的图片 URL，通常是 `blob:` URL；`storageKey` 指向本地图片 Blob；`naturalWidth/naturalHeight/bytes/mimeType` 保存原图信息。
+- 视频节点：`content` 是当前可播放的视频 URL，通常是 `blob:` URL；`storageKey` 指向本地视频 Blob；`bytes/mimeType` 保存文件信息。
 - 文本节点：`content` 保存文本内容；`fontSize` 保存字体大小；`prompt/status/errorDetails` 保存生成状态。
- 生成配置节点：`generationMode/model/size/count/inputOrder` 保存生成配置；上游输入通过 `connections` 计算。
+- 生成配置节点：`generationMode/model/size/count/inputOrder` 保存生成配置；`generationMode` 可选择文本、图片或视频；上游输入通过 `connections` 计算。
 - 图片组节点：根节点用 `isBatchRoot/batchChildIds/primaryImageId/imageBatchExpanded` 记录批量生成结果；子图节点用 `batchRootId` 指回根节点。

 ## 连线结构
@@ -215,68 +222,3 @@ type UploadedImage = {
 5. 删除时会同时 `URL.revokeObjectURL`，并从内存缓存 `objectUrls` 移除。

 这套方式可以避免同一张图片被画布、素材或助手同时引用时误删。
-
-需要注意：
-
- 只要某个 JSON 结构里仍有 `storageKey`，清理逻辑就会认为图片仍被使用。
- `collectImageStorageKeys` 会递归扫描对象中的 `storageKey` 字段，字段值必须以 `image:` 开头才会被当成本地图片。
- 如果后续新增保存图片引用的数据结构，也要确保它能传入清理上下文，或者位于现有项目/素材结构内。
-
-## 后端存储兼容建议
-
-后续接入后端时，建议保持“画布 JSON”和“图片文件”分离：
-
- 画布表保存项目元信息和画布 JSON。
- 文件表保存图片文件、访问 URL、哈希、大小、MIME、宽高、归属用户等信息。
- 画布节点中继续保存轻量图片引用，不把图片二进制或 base64 写进画布 JSON。
-
-建议图片引用逐步扩展为兼容本地和云端的结构：
-
-```ts
-type ImageRef = {
-  storageKey?: string;
-  fileId?: string;
-  url?: string;
-  width?: number;
-  height?: number;
-  bytes?: number;
-  mimeType?: string;
-};
-```
-
-兼容规则：
-
- 本地旧数据：有 `storageKey`，无 `fileId`，通过 IndexedDB 读取。
- 已上传后端：有 `fileId`，展示时优先使用后端返回的签名 URL 或公开 URL。
- 迁移过渡期：可以同时保留 `storageKey` 和 `fileId`；确认云端文件可用后，再按清理策略删除本地 Blob。
- `content/dataUrl/coverUrl` 仍只作为当前可展示 URL，不作为稳定 ID。
-
-建议读取优先级：
-
-1. 有 `fileId`：向后端换取可访问 URL。
-2. 有 `storageKey`：从本地 IndexedDB 生成 `blob:` URL。
-3. 有旧 `data:image/...`：先写入本地图片存储，再视需要上传后端。
-4. 只有普通 URL：直接展示，但不要假设可长期访问。
-
-建议删除策略：
-
- 删除节点只删除画布 JSON 引用，不直接删除后端文件。
- 后端文件删除应按引用计数或定期扫描未引用文件处理。
- 保存到“我的素材”的图片，即使原画布节点删除，也应继续保留文件引用。
- 删除画布、删除素材、删除助手会话后，再由后端清理任务判断文件是否无人引用。
-
-建议同步流程：
-
-1. 前端保存画布 JSON 时，保持节点 ID、连线 ID、`storageKey/fileId` 不变。
-2. 遇到只有 `storageKey` 的图片，后台同步前先上传 Blob，得到 `fileId`。
-3. 上传成功后给对应图片引用补 `fileId` 和云端元信息。
-4. 服务端保存更新后的画布 JSON。
-5. 前端下次打开时优先走 `fileId`，本地 `storageKey` 只作为缓存或离线回退。
-
-## 后续改动约束
-
- 不要把新生成的大图直接长期写入画布 JSON。
- 新增图片来源时统一走 `uploadImage` 或未来的文件上传服务。
- 新增图片引用字段时，应保留 `storageKey` 兼容旧本地数据。
- 新增清理入口时，要把仍需保留的画布、素材、助手数据传给 `cleanupUnusedImages`。
- 后端同步完成前，文档和 UI 不要写成已支持云同步。
@@ -0,0 +1,40 @@
+---
+title: 本地开发
+description: 前端优先的本地开发方式
+---
+
+# 本地开发
+
+当前主应用以 `web/` 前端为主，AI 请求由浏览器前台直连用户自己的 OpenAI 兼容接口。
+
+## 1. 启动前端
+
+```bash
+cd web
+bun install
+bun run dev
+```
+
+前端默认访问：
+
+```text
+http://localhost:3000
+```
+
+## 2. 配置模型
+
+打开右上角配置弹窗，填写自己的 `Base URL`、`API Key` 和模型名。第三方提示词和 WebDAV 都由浏览器前端直连。
+
+## 3. 启动文档站
+
+如果需要单独调整文档站，在 `docs` 目录执行：
+
+```bash
+bun run dev
+```
+
+## 常见场景
+
+- 改画布、页面和交互：主要看 `web/`
+- 改提示词缓存：主要看 `web/src/services/api/prompts.ts`
+- 改文档站内容：主要看 `docs/content/docs/`
@@ -0,0 +1,9 @@
+{
+  "title": "开发文档",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "local-development",
+    "canvas-data-structure"
+  ]
+}
@@ -0,0 +1,12 @@
+{
+  "title": "文档",
+  "root": true,
+  "pages": [
+    "overview",
+    "canvas",
+    "development",
+    "progress",
+    "business",
+    "support"
+  ]
+}
@@ -0,0 +1,140 @@
+---
+title: Codex App 插件
+description: 在 Codex App 中安装并使用 Infinite Canvas 插件
+---
+
+# Codex App 插件
+
+Infinite Canvas 提供了一个 Codex App 插件，用来把 Codex 和本地 Canvas Agent 连接起来。安装后，你可以直接在 Codex 中说“打开 Infinite Canvas”，让 Codex 打开画布、读取节点、创建节点并触发生成流程。
+
+插件源码位于仓库的 `plugins/infinite-canvas/` 目录。
+
+## 安装方式
+
+### 让 Codex 自动安装
+
+把下面这段发给 Codex：
+
+```text
+请从 https://github.com/basketikun/infinite-canvas.git 安装 Infinite Canvas Codex 插件。
+请 clone 仓库到 ~/plugins/infinite-canvas，确认 plugins/infinite-canvas/.codex-plugin/plugin.json 存在，
+把 plugins/infinite-canvas 加入 personal marketplace，先运行 codex plugin marketplace add ~，
+再运行 codex plugin add infinite-canvas@personal。
+安装后请校验插件，并告诉我是否需要开启一个新对话来加载新技能和 MCP 工具。
+```
+
+这种方式适合不想手动改 marketplace 配置的用户。Codex 会完成 clone、写入 marketplace、安装插件和基础校验。
+
+### 手动安装
+
+推荐把仓库 clone 到 Codex personal marketplace 默认会引用的位置：
+
+```bash
+mkdir -p ~/plugins
+git clone https://github.com/basketikun/infinite-canvas.git ~/plugins/infinite-canvas
+```
+
+确保 `~/.agents/plugins/marketplace.json` 中有 Infinite Canvas 条目。这里的 `path` 要指向仓库里的插件子目录：
+
+```json
+{
+  "name": "personal",
+  "interface": {
+    "displayName": "Personal"
+  },
+  "plugins": [
+    {
+      "name": "infinite-canvas",
+      "source": {
+        "source": "local",
+        "path": "./plugins/infinite-canvas/plugins/infinite-canvas"
+      },
+      "policy": {
+        "installation": "AVAILABLE",
+        "authentication": "ON_INSTALL"
+      },
+      "category": "Productivity"
+    }
+  ]
+}
+```
+
+然后注册 personal marketplace 并安装插件：
+
+```bash
+codex plugin marketplace add ~
+codex plugin add infinite-canvas@personal
+```
+
+安装完成后，建议新建一个 Codex 对话，让新的 skill 和 MCP 工具完整加载。
+
+### 本仓库开发调试安装
+
+如果你正在 Infinite Canvas 仓库中开发插件，可以直接使用仓库自带的 marketplace：
+
+```bash
+cd /path/to/infinite-canvas
+codex plugin marketplace add "$(pwd)"
+codex plugin add infinite-canvas@infinite-canvas-local
+```
+
+仓库内的 `.agents/plugins/marketplace.json` 已经指向 `./plugins/infinite-canvas`，适合开发者本地调试。
+
+## 使用插件
+
+新建 Codex 对话后，可以直接说：
+
+```text
+打开 Infinite Canvas 新建画布 并连接好Codex
+```
+
+插件会启动本地 Canvas Agent，读取连接地址和 token，然后在右侧打开 `https://canvas.best/` 并自动新建、连接画布。只有明确要求使用本地项目时，插件才会启动本地前端。
+
+画布打开后可以继续让 Codex 操作画布：
+
+```text
+读取当前画布并总结节点结构
+根据选中节点创建一组生图提示词
+把这些节点整理成一个生成流程
+```
+
+## 更新插件
+
+普通业务代码变更通常不需要更新插件。只有改了下面这些内容时，才建议重新安装或刷新插件：
+
+- `plugins/infinite-canvas/.codex-plugin/plugin.json`
+- `plugins/infinite-canvas/.mcp.json`
+- `plugins/infinite-canvas/skills/` 下的技能说明
+- 插件暴露的 MCP、app 或入口脚本
+
+重新安装后建议开启新对话，避免旧对话继续使用缓存中的技能和 MCP 工具。
+
+## 手动排查
+
+插件默认通过下面的 MCP 命令启动 Canvas Agent：
+
+```bash
+npx -y @basketikun/canvas-agent mcp
+```
+
+如果需要手动排查，先启动画布：
+
+```bash
+cd web
+bun install
+bun run dev
+```
+
+然后启动本地 Agent：
+
+```bash
+npx -y @basketikun/canvas-agent
+```
+
+从 Agent 输出或 `http://127.0.0.1:17371/config` 读取本地地址和 token 后，打开：
+
+```text
+<画布网页地址>/canvas?mode=new&agentUrl=<Local URL>&agentToken=<Connect token>
+```
+
+`mode=new` 会让网页自动创建具体画布并连接本地 Agent，不需要手动点击“新建画布”。
@@ -0,0 +1,52 @@
+---
+title: Docker 部署
+description: 使用 Docker Compose 部署无限画布
+---
+
+# Docker 部署
+
+如果你希望在自己的机器或服务器上运行项目，可以直接使用 Docker Compose。
+
+## 使用发布镜像
+
+```bash
+git clone git@github.com:basketikun/infinite-canvas.git
+cd infinite-canvas
+docker compose up -d
+```
+
+启动后访问：
+
+```text
+http://localhost:3000
+```
+
+## 本地构建镜像
+
+如果需要基于当前源码构建镜像：
+
+```bash
+docker compose -f docker-compose.local.yml up -d --build
+```
+
+## 文档站镜像
+
+文档站位于 `docs/` 目录，按带服务端能力的 Next.js standalone 应用单独构建，不打进主应用镜像。
+
+使用发布镜像：
+
+```bash
+cd docs
+docker compose up -d
+```
+
+基于当前源码本地构建：
+
+```bash
+cd docs
+docker compose -f docker-compose.local.yml up -d --build
+```
+
+## 数据说明
+
+当前主应用镜像只启动 Next.js。画布、我的素材、生成记录和 AI API Key 默认保存在浏览器本地；第三方提示词由浏览器前端直连拉取，不需要额外挂载数据目录。
@@ -1,3 +1,8 @@
+---
+title: 功能介绍
+description: 当前项目已实现的主要功能
+---
+
 # 功能介绍

 本文档记录当前项目已经实现的主要功能。
@@ -25,7 +30,7 @@

 目前画布中有三类节点：

- 图片节点：展示上传图片、生成图片或素材库图片。
+- 图片节点：展示上传图片、生成图片或我的素材图片。
 - 文本节点：保存提示词、说明文案、AI 文字回答等文本内容。
 - 生成配置节点：汇总上游文本和图片，统一配置模型、比例、数量后批量生成图片或文本。

@@ -52,12 +57,23 @@

 ## AI 生成

-项目通过前端直接请求 OpenAI 兼容接口：
+项目默认使用前台直连：前端使用浏览器本地配置的 Base URL、API Key 和 Model 直接请求 OpenAI 兼容接口，不再通过项目服务端转发 AI 请求。
+
+OpenAI 兼容图像和文本能力继续复用现有接口：

 - `/v1/images/generations`：文生图。
 - `/v1/images/edits`：图生图/参考图编辑。
- `/v1/chat/completions`：文本问答和带图问答。
- `/v1/models`：读取模型列表。
+- `/v1/responses`：文本问答、带图问答和在线 Agent 工具调用。
+- `/v1/models`：读取模型列表；火山方舟 Agent Plan 专属 `/api/plan/v3` 当前未提供 OpenAI `/models` 模型列表接口，需要手动填写模型名。
+
+视频能力支持两类接口：
+
+- OpenAI 风格视频：`POST /v1/videos`、`GET /v1/videos/{id}`、`GET /v1/videos/{id}/content`。
+- 火山方舟 Agent Plan / Seedance 2.0：Base URL 使用 `https://ark.cn-beijing.volces.com/api/plan/v3`，创建任务为 `POST /contents/generations/tasks`，查询任务为 `GET /contents/generations/tasks/{id}`，成功结果读取 `content.video_url`。
+
+Base URL 如果已经以 `/v1`、`/api/v3` 或 `/api/plan/v3` 结尾，系统不会再追加 `/v1`。因此 cpa 反代或火山方舟 Agent Plan 可以继续通过现有 Base URL + API Key + Model 方式配置，不需要新增火山生图 Provider。
+
+配置弹窗里的“拉取模型列表”会尝试真实请求 OpenAI `/models`，不会为 Agent Plan 伪造模型结果。如果火山方舟 Agent Plan 返回 404，请手动增加 `doubao-seedance-2.0` 或文档列出的其他模型名。

 可配置项：

@@ -67,9 +83,13 @@
 - 图片质量。
 - 图片比例。
 - 生成数量。
+- 视频模型。
+- 视频比例、清晰度、时长、生成声音和水印。

 普通图片/文本节点可以直接输入提示词生成结果。生成配置节点可以读取上游节点内容，并按节点自己的配置批量生成多个图片或文本结果。生成配置节点支持预览当前提示词和参考图输入，并调整输入顺序。

+视频生成可从文本节点读取 prompt，从图片节点读取参考图，从视频节点读取参考视频，从音频节点读取参考音频。Seedance 2.0 支持最多 9 张参考图、3 个参考视频、3 个参考音频；分辨率支持 `480p`、`720p`、`1080p`（fast 模型不支持 `1080p`），比例支持 `16:9`、`4:3`、`1:1`、`3:4`、`9:16`、`21:9`、`adaptive`，时长支持 4-15 秒或智能时长。生成成功后会把视频插入画布为视频节点并使用原生播放器预览。参考视频和参考音频优先使用公网可访问 URL；本地素材会以前端可读取的数据传给兼容接口，是否支持取决于具体上游。
+
 ## 画布助手

 画布右侧助手面板支持：
@@ -98,15 +118,14 @@
 - 复制提示词。
 - 把提示词加入“我的素材”。

-后台提示词管理支持：
+提示词管理支持：

 - 查询提示词。
- 新增、编辑、删除提示词。
 - 按分组和标签筛选。
 - 查看远程提示词源。
- 同步内置远程提示词源。
+- 触发读取内置远程提示词源。

-当前内置远程源包括多个 GPT Image / GPT-4o / Nano Banana Pro 相关提示词仓库。
+当前内置远程源包括多个 GPT Image / GPT-4o / Nano Banana Pro 相关提示词仓库，由浏览器前端直连拉取并缓存到 IndexedDB。

 ## 素材

@@ -120,47 +139,19 @@
 - 分页浏览。
 - 复制文本素材。
 - 下载图片素材。
- 从提示词库、画布节点和服务器素材库加入素材。
+- 从提示词库和画布节点加入素材。
 - 在画布中插入素材。

-“素材库”是服务器素材库，支持：
+## 配置和同步

- 按标题搜索。
- 按类型筛选。
- 按标签筛选。
- 查看素材详情。
- 复制文本或图片链接。
- 加入“我的素材”。
- 在画布中插入素材。
-
-后台素材库管理支持：
-
- 查询素材。
- 新增、编辑、删除素材。
- 按类型和标签筛选。
-
-## 账号和后台
-
- 注册功能暂时关闭。
- 仅允许管理员账号登录。
- 支持 JWT 会话。
- `/api/auth/me` 可读取当前用户，未登录时返回访客用户。
- 首次启动时可根据环境变量创建默认管理员。
- 管理员后台目前包含提示词管理和素材库管理。
- 后端已有用户管理接口，但前端暂未实现用户管理页面。
-
-## 后端能力
-
- Gin 提供 API 服务。
- Docker 运行时由 Next.js 提供页面入口，`/api/*` 请求代理到内部 Go 服务。
- GORM 管理数据库连接和自动迁移。
- 支持 SQLite、MySQL、PostgreSQL。
- 数据库保存用户、提示词分组、提示词和服务器素材。
- 业务接口统一返回 `{ code, data, msg }`。
+- 当前版本不需要账号登录，也不再提供后台管理页面。
+- 配置与用户偏好弹窗支持多个 OpenAI 兼容渠道、默认模型、生成偏好和 WebDAV 同步设置。
+- 第三方提示词、WebDAV 和 AI 接口都由浏览器前端直连，不经过项目后端代理。

 ## 当前限制

 - 画布项目和“我的素材”目前只保存在浏览器本地，不会随账号同步。
- AI API Key 目前保存在浏览器本地，并由浏览器直接请求配置的 OpenAI 兼容接口。
- 服务器素材库目前主要保存 URL 或文本，暂未提供文件上传接口。
+- AI API Key 保存在浏览器本地，并由浏览器直接请求配置的 OpenAI 兼容接口；只适合个人或可信环境使用。
+- Seedance 本地参考视频/音频更建议使用公网可访问 URL；上游是否接受前端传入的本地数据取决于具体兼容接口。
+- Seedance 返回远程视频 URL 时，前端会尽量下载为本地 Blob 持久化；如果因 CORS 或网络限制无法下载，会保留远程 URL，后续是否可播放取决于上游 URL 的有效期。
 - 画布更适合桌面端使用，移动端触控体验还未系统完善。
@@ -0,0 +1,173 @@
+---
+title: 本地 Codex 连接画布原理
+description: 说明 Canvas Agent、MCP、SSE 和浏览器画布之间如何交互
+---
+
+# 本地 Codex 连接画布原理
+
+本地 Codex 连接画布的核心不是让 Codex 直接控制浏览器，也不是模拟鼠标点击或操作 DOM，而是在用户电脑上运行一个 `Canvas Agent` 作为桥接服务。
+
+```txt
+Codex / 浏览器侧边栏
+        |
+        v
+本机 Canvas Agent
+        |
+        v
+浏览器画布 React 状态
+```
+
+真正的画布数据仍然在浏览器里，节点、连线、选区和视口都由前端 React 状态维护。Codex 只能通过 `Canvas Agent` 暴露的工具协议发出“读取画布”或“执行画布操作”的请求。
+
+## 两个使用方向
+
+### 1. 本地 Codex 主动连接画布
+
+这个方向的入口在 Codex。
+
+```txt
+本地 Codex
+  -> infinite-canvas MCP 工具
+  -> 本机 Canvas Agent
+  -> 浏览器画布
+```
+
+用户在本地 Codex 里发起请求，例如读取画布、创建文本节点、连接节点或触发生成。Codex 调用 `infinite-canvas` MCP 工具，MCP 工具再请求本机 `Canvas Agent` 的 `/api/tools` 接口。
+
+常见工具包括：
+
+- `canvas_get_state`：读取当前画布摘要。
+- `canvas_get_selection`：读取当前选区。
+- `canvas_apply_ops`：批量执行画布操作。
+- `canvas_create_text_node`：创建文本节点。
+- `canvas_generate_image` / `canvas_generate_text`：创建生成流程并触发生成。
+- `canvas_update_node` / `canvas_connect_nodes`：更新节点或连接节点。
+
+这条链路适合在 Codex 对话里直接让 Codex 操作当前打开的画布。
+
+### 2. 浏览器右侧面板主动打开 Codex
+
+这个方向的入口在浏览器。
+
+```txt
+浏览器右侧 Codex 面板
+  -> 本机 Canvas Agent
+  -> Codex app-server --stdio
+  -> infinite-canvas MCP 工具
+  -> 本机 Canvas Agent
+  -> 浏览器画布
+```
+
+用户在网页右侧面板输入提示词后，浏览器把请求发送到 `Canvas Agent` 的 `/agent/codex/turn` 接口。`Canvas Agent` 会在本机启动或复用 `codex app-server --stdio`，并给这个 Codex 会话注入同一套 `infinite-canvas` MCP 工具。
+
+所以即使入口在浏览器右侧面板，真正改动画布时仍然会回到同一条工具链路：
+
+```txt
+Codex -> MCP -> Canvas Agent -> 浏览器画布
+```
+
+右侧面板只是把“打开 Codex 会话、发送 prompt、展示流式事件”这件事搬到了网页里。
+
+## 浏览器和 Canvas Agent 如何连接
+
+`Canvas Agent` 默认监听本机地址：
+
+```txt
+http://127.0.0.1:17371
+```
+
+启动后会生成 `Connect token`，网页连接时必须携带 token。浏览器连接后会建立一条 SSE 长连接：
+
+```txt
+GET /events?token=xxx&clientId=xxx
+```
+
+连接成功后，`Canvas Agent` 会发送 `hello` 事件，浏览器把状态更新为已连接。
+
+## 画布状态如何同步给 Codex
+
+浏览器会把当前画布快照主动同步给 `Canvas Agent`：
+
+```txt
+POST /canvas/state?token=xxx&clientId=xxx
+```
+
+快照包含：
+
+- 当前画布 ID 和标题；
+- 节点列表；
+- 连线列表；
+- 当前选中的节点 ID；
+- 当前视口位置和缩放。
+
+`Canvas Agent` 把最近一次快照保存在内存里。Codex 调用 `canvas_get_state` 时，读取的是这份由浏览器同步过来的最新快照，而不是直接读取浏览器 DOM。
+
+## Codex 如何操作画布
+
+以创建文本节点为例，流程如下：
+
+```txt
+Codex 调 canvas_create_text_node
+  -> MCP POST /api/tools
+  -> Canvas Agent 转成 canvas_apply_ops
+  -> Canvas Agent 通过 SSE 发送 tool_call
+  -> 浏览器执行 add_node
+  -> 浏览器 POST /canvas/result
+  -> Canvas Agent 返回结果给 Codex
+```
+
+`Canvas Agent` 会把一些高级工具转换成统一的画布操作：
+
+```json
+{
+  "ops": [
+    {
+      "type": "add_node",
+      "nodeType": "text",
+      "metadata": {
+        "content": "文本内容",
+        "status": "success"
+      }
+    }
+  ]
+}
+```
+
+浏览器收到 `tool_call` 后，调用前端的 `applyCanvasAgentOps`，在 React 状态中执行 `add_node`、`update_node`、`delete_node`、`connect_nodes`、`set_viewport`、`select_nodes` 等操作。执行完成后再把结果通过 `/canvas/result` 回传给 `Canvas Agent`。
+
+## 工具确认和撤销
+
+为了避免 Codex 直接改动画布，浏览器侧对 `canvas_apply_ops` 默认有二次确认机制。收到写操作后，右侧面板会先展示待执行工具调用，用户确认后才真正应用到画布。
+
+执行后，前端会保存最近一次操作前的画布快照，用于撤销上一轮 Agent 工具操作。
+
+如果关闭工具确认，本地 Codex 可以直接执行画布工具调用，但仍然是通过同一套 `Canvas Agent -> SSE -> 浏览器执行` 的链路。
+
+## 安全边界
+
+- `Canvas Agent` 默认只监听 `127.0.0.1`。
+- 网页连接必须携带本机生成的 `Connect token`。
+- 第一次带正确 token 连接后，`Canvas Agent` 会记录网页 Origin，避免其他来源复用当前本机 Agent。
+- Codex 不直接访问浏览器 DOM，也不直接持有画布内部状态。
+- 线上网页不保存本机 Codex 登录态、API Key 或本地文件权限。
+- 画布写操作最终由浏览器前端执行，因此可以在前端做确认、撤销和权限控制。
+
+## 一句话总结
+
+本地 Codex 连接画布的本质是：
+
+```txt
+Codex 调 MCP 工具，Canvas Agent 做本机桥接，浏览器通过 SSE 接收工具调用并在 React 状态中真正修改画布。
+```
+
+读状态是：
+
+```txt
+浏览器快照 -> Canvas Agent 内存 -> MCP 工具 -> Codex
+```
+
+写操作是：
+
+```txt
+Codex -> MCP 工具 -> Canvas Agent -> SSE tool_call -> 浏览器 applyOps -> /canvas/result -> Codex
+```
@@ -0,0 +1,15 @@
+{
+  "title": "项目介绍",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "quick-start",
+    "codex-app-plugin",
+    "features",
+    "render",
+    "docker",
+    "third-party-prompt-repositories",
+    "[在线体验](https://canvas.best/)",
+    "local-codex-canvas"
+  ]
+}
@@ -0,0 +1,48 @@
+---
+title: 快速开始
+description: 用最少步骤把无限画布跑起来
+---
+
+# 快速开始
+
+如果你只是想先把项目跑起来，优先部署或启动 `web/` 前端。
+
+## Vercel 部署
+
+在 Vercel 中导入仓库即可，根目录 `vercel.json` 会构建 `web/`。当前版本的 AI 请求由浏览器前台直连用户自己的 OpenAI 兼容地址，不需要额外配置服务端。
+
+## 本地启动
+
+```bash
+git clone git@github.com:basketikun/infinite-canvas.git
+cd infinite-canvas
+cd web
+bun install
+bun run dev
+```
+
+启动后访问：
+
+```text
+http://localhost:3000
+```
+
+## Docker 启动
+
+如果你需要基于当前源码构建镜像：
+
+```bash
+docker build -t infinite-canvas .
+docker run --rm -p 3000:3000 infinite-canvas
+```
+
+## 首次使用建议
+
+- 先打开右上角配置弹窗，填入自己的 `Base URL`、`API Key` 和模型名。
+- 如果需要提示词仓库内容，打开 `/prompts` 会由浏览器前端直连拉取并缓存到 IndexedDB。
+- 如果需要跨设备同步画布、素材和生成记录，可在配置弹窗中填写 WebDAV。
+
+## 说明
+
+- 当前画布项目和“我的素材”主要保存在浏览器本地，WebDAV 同步需要用户自行配置。
+- AI API Key 保存在浏览器本地，并由前端直接请求 OpenAI 兼容接口。
@@ -0,0 +1,28 @@
+---
+title: Render 部署
+description: 使用 Render 部署无限画布
+---
+
+# Render 部署
+
+点击下面链接即可部署到 Render：
+
+[部署到 Render](https://render.com/deploy?repo=https://github.com/basketikun/infinite-canvas)
+
+## 部署步骤
+
+1. 点击 `Deploy to Render`。
+2. 登录 Render，并按页面提示连接 GitHub。
+3. 确认部署。
+
+部署完成后，打开 Render 分配的 `.onrender.com` 域名即可访问。
+
+## 免费版说明
+
+默认使用 Render 免费 Web Service：
+
+- 空闲约 15 分钟后会休眠，下次访问会自动唤醒。
+- 当前主应用数据默认保存在浏览器本地；第三方提示词由浏览器前端直连拉取。
+- 适合体验和演示，不适合长期保存正式数据。
+
+长期使用建议优先部署到 Vercel，或自行配置 WebDAV 同步浏览器本地数据。
@@ -1,3 +1,8 @@
+---
+title: 第三方 GitHub 提示词仓库
+description: 当前已接入同步逻辑的第三方提示词仓库
+---
+
 # 第三方 GitHub 提示词仓库

 | 地址 | 状态 |
@@ -0,0 +1,248 @@
+---
+title: 本地 Agent 接入规划
+description: 规划通过本地 Canvas Agent、MCP 和侧边栏助手连接 Codex / Claude Code 操作画布
+---
+
+# 本地 Agent 接入规划
+
+本文档规划个人用户在访问线上画布网页时，如何连接自己电脑上的 Codex / Claude Code，并让 Agent 通过对话和工具调用操作当前画布。
+
+## 目标
+
+- 用户打开线上画布后，可以启动本机服务连接当前画布。
+- 用户可以在 Codex 终端里通过 MCP 操作画布。
+- 用户也可以在网页侧边栏里和本地 Codex / Claude Code 对话。
+- 侧边栏需要展示普通消息、流式输出、工具调用、工具结果和错误提示。
+- 线上服务不保存用户本地 Codex / Claude Code 登录态、API Key 或本地文件权限。
+
+## 核心结论
+
+浏览器页面不能直接启动本地进程，也不应该直接控制本机 Codex / Claude Code。推荐增加一个用户本机运行的 `canvas-agent` 服务：
+
+```txt
+线上画布网页 <-> 本机 canvas-agent <-> Codex / Claude Code
+                         |
+                         +-> MCP Server
+                         +-> 画布连接
+```
+
+`canvas-agent` 是本地可信边界，负责启动或连接 Codex / Claude Code、暴露 MCP 工具、维护画布连接、转发侧边栏对话事件。
+
+## 推荐目录
+
+后续实现时建议在项目根目录新增独立 npm 包：
+
+```txt
+canvas-agent/
+  package.json
+  tsconfig.json
+  src/
+    index.ts
+    config.ts
+    http-server.ts
+    canvas-session.ts
+    mcp-server.ts
+    agents.ts
+    schemas.ts
+    tools.ts
+    types.ts
+```
+
+原因：
+
+- 这是用户本机运行的 Node 服务，不属于线上服务端，也不属于纯前端页面。
+- 后续可以发布成 npm 包，用户通过 `npx` 或全局安装启动。
+- Codex SDK、Codex MCP、Claude SDK 都更适合在本地 Node 进程中接入。
+- HTTP 路由使用 Express，MCP 协议层使用官方 `@modelcontextprotocol/sdk`，工具入参使用 `zod`，避免手写协议和松散 JSON。
+
+## 本机启动方式
+
+MVP 阶段优先提供 `npx`：
+
+```bash
+npx -y @basketikun/canvas-agent
+```
+
+在本仓库内开发调试时可直接运行：
+
+```bash
+cd canvas-agent
+npm install
+npm run build
+node dist/index.js
+```
+
+启动后输出：
+
+```txt
+Infinite Canvas Agent
+Local URL: http://127.0.0.1:17371
+Connect token: xxxxxx
+```
+
+网页侧边栏填写或自动发现 `http://127.0.0.1:17371` 和 token 后连接本机服务。
+
+## 前端需要增加的能力
+
+前端不直接暴露 HTTP 接口给本机服务，优先由网页主动连接本机 Canvas Agent。当前 MVP 使用 SSE 接收本机事件，HTTP POST 上报画布状态和工具结果：
+
+```txt
+网页 -> http://127.0.0.1:17371/events?token=xxx
+网页 -> http://127.0.0.1:17371/canvas/state?token=xxx
+网页 -> http://127.0.0.1:17371/canvas/result?token=xxx
+```
+
+前端需要提供一个画布 Agent 控制层，内部调用现有 store / hook，不直接让外部操作 React 组件：
+
+```ts
+canvasAgent.getState()
+canvasAgent.getSelection()
+canvasAgent.applyOps(ops)
+canvasAgent.focusNodes(ids)
+canvasAgent.exportSnapshot()
+```
+
+建议先支持最小操作集：
+
+- `add_node`：新增图片、文本、音频、视频、生成配置节点。
+- `update_node`：更新节点位置、尺寸、内容和配置。
+- `delete_node`：删除节点。
+- `connect_nodes`：连接两个节点。
+- `set_viewport`：移动或缩放当前视口。
+- `select_nodes`：选中节点。
+
+工具入参应使用画布业务 JSON，不使用模拟鼠标点击或屏幕坐标自动化。
+
+MCP 读取画布状态时默认返回摘要，不直接把完整图片、视频、音频或超长 base64 内容塞给 Agent。
+
+## MCP 工具设计
+
+`canvas-agent` 内置 MCP Server，让 Codex CLI 可以连接：
+
+```txt
+Codex CLI <-> canvas-agent MCP <-> 当前网页画布
+```
+
+建议首批 MCP 工具：
+
+- `canvas_get_state`：读取当前画布节点、连线、选区和视口摘要。
+- `canvas_apply_ops`：批量执行画布操作。
+- `canvas_get_selection`：读取当前选中的节点。
+- `canvas_export_snapshot`：导出当前画布快照，用于让 Agent 理解布局。
+- `canvas_create_text_node`：快捷创建文本节点。
+- `canvas_create_image_prompt_flow`：快捷创建提示词文本节点和图片生成配置节点。
+
+用户本机 Codex 配置示例：
+
+```bash
+codex mcp add infinite-canvas -- npx -y @basketikun/canvas-agent mcp
+```
+
+本仓库调试时可使用，实际配置建议替换为本机绝对路径：
+
+```bash
+codex mcp add infinite-canvas -- node /path/to/infinite-canvas/canvas-agent/dist/index.js mcp
+```
+
+网页侧边栏助手另走 Canvas Agent 的对话通道。Canvas Agent 使用官方 `@openai/codex` CLI 的 `codex app-server --stdio` 启动并续用同一个 thread，启动时会注入 `infinite-canvas` MCP 配置并把 `default_tools_approval_mode` 设为 `approve`，避免 Codex 自己的 MCP 审批卡住侧边栏；真正修改画布前由网页侧边栏做二次确认。
+
+侧边栏图片附件通过 HTTP 发送到本机 Canvas Agent，Canvas Agent 临时写入本机文件后作为 app-server `localImage` 输入传给 Codex；MVP 会在输入区提示附件体积，单次请求体限制为 30MB。
+
+## 侧边栏助手设计
+
+侧边栏助手连接 `canvas-agent` 后，由 Canvas Agent 选择 Agent Adapter：
+
+```txt
+Sidebar -> canvas-agent -> Codex app-server stdio
+Sidebar -> canvas-agent -> Claude Code CLI / Claude Agent SDK
+```
+
+侧边栏优先展示 Codex app-server 原生结构化事件。前端只消费必要事件：
+
+```ts
+type AgentEvent =
+  | { type: "thread.started"; thread_id: string }
+  | { type: "turn.started" }
+  | { type: "item.started" | "item.updated" | "item.completed"; item: ThreadItem }
+  | { type: "turn.completed"; usage: Usage }
+  | { type: "turn.failed"; error: { message: string } };
+```
+
+Claude 后续接入时再单独做 Claude Adapter；当前前端默认只展示 Codex。
+
+## Codex 接入优先级
+
+优先使用官方 `@openai/codex` CLI 的 `codex app-server --stdio`。
+
+- Codex app-server 会输出 `item/agentMessage/delta`；Canvas Agent 转成 `item.updated` 后，前端用同一条消息做真实流式渲染。
+- 图片附件使用 app-server `localImage` 输入，不手写多模态协议。
+
+参考：
+
+- https://github.com/openai/codex/tree/main/codex-rs/app-server
+- https://developers.openai.com/codex/codex-manual.md
+
+## Claude Code 接入优先级
+
+Claude Code 侧当前 MVP 先调用本机 Claude Code CLI 的流式 JSON 输出，由 `canvas-agent` 统一转换事件和工具调用；后续可升级为 Claude Agent SDK。
+
+如果希望 Claude Code 也能操作当前画布，需要给 Claude Code 配置同一个 MCP：
+
+```bash
+claude mcp add --scope user --transport stdio infinite-canvas -- npx -y @basketikun/canvas-agent mcp
+```
+
+Canvas Agent 调用 Claude Code 时默认允许 `mcp__infinite-canvas__*`，避免 print 模式被工具审批卡住；真正修改画布仍由网页侧边栏确认。
+
+参考：
+
+- https://docs.anthropic.com/en/docs/claude-code/sdk
+- https://code.claude.com/docs/en/agent-sdk/typescript
+
+## 安全边界
+
+- Canvas Agent 默认只监听 `127.0.0.1`。
+- Canvas Agent 启动时生成 token，网页连接必须携带 token。
+- Canvas Agent 只接受允许的 Origin，默认允许用户当前打开的画布域名。
+- 画布操作默认先在侧边栏展示工具调用，`canvas_apply_ops` 默认需要用户确认后执行，并保留最近一次工具操作撤销入口。
+- 不把 Codex / Claude 登录态、API Key、用户本地文件路径上传到线上服务。
+- 线上网页只保存 Canvas Agent 地址和必要偏好，不保存本地密钥。
+
+## 实现阶段
+
+### 第一阶段：Codex 终端操作画布
+
+1. 新增 `canvas-agent/` npm 包。
+2. Canvas Agent 提供 SSE/HTTP 连接，网页连接并注册当前画布。
+3. 前端新增 `canvasAgent` 控制层。
+4. Canvas Agent 内置 MCP Server。
+5. Codex 通过 MCP 调用 `canvas_get_state` 和 `canvas_apply_ops`。
+
+### 第二阶段：网页侧边栏连接 Codex
+
+1. 前端新增本地 Agent 侧边栏。
+2. Canvas Agent 通过官方 `@openai/codex` CLI 的 `codex app-server --stdio` 接入 Codex，复用同一个 thread，注入 `infinite-canvas` MCP，并展示结构化事件流。
+3. 运行日志只保留关键 Codex 事件，避免把流式中间更新刷满日志。
+4. 侧边栏展示消息流、工具调用、工具结果、错误和图片附件大小提示。
+
+### 第三阶段：接入 Claude Code
+
+1. Canvas Agent 新增 Claude Code CLI Adapter。
+2. 统一 Claude Code 的消息和工具调用事件。
+3. 前端侧边栏增加 Agent 类型选择。
+
+### 第四阶段：体验完善
+
+1. 增加本机连接状态、重连和 token 更新。
+2. 优化工具调用确认、撤销和批量工具队列体验。
+3. 增加常用画布动作模板。
+4. 增加 npm 发布和用户安装文档。
+
+## MVP 验收标准
+
+- 用户运行 `npx -y @basketikun/canvas-agent` 后，线上画布能显示已连接。
+- 用户在 Codex CLI 中可以创建文本节点、移动节点、连接节点。
+- 网页侧边栏能发送一条消息给本地 Codex，并展示流式回复。
+- 网页侧边栏默认只展示本地 Codex，并展示结构化回复。
+- 侧边栏能展示一次 `canvas_apply_ops` 工具调用和结果。
+- 断开 Canvas Agent 后，网页能显示清晰的本机连接失败提示。
@@ -0,0 +1,12 @@
+{
+  "title": "项目进度",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "[更新日志](/docs/progress/changelog)",
+    "local-agent-integration-plan",
+    "prompt-chip-input-plan",
+    "pending-test",
+    "todo"
+  ]
+}
@@ -0,0 +1,51 @@
+---
+title: 待测试
+description: 当前版本已实现但仍需人工验证的变更项
+---
+
+# 待测试
+
+- 画布节点插件系统:内置节点(图片/文本/视频/音频/配置/组)改为统一注册表管理,创建菜单由注册表动态生成;需验证六种内置节点的创建、渲染、缩放、连线、小地图颜色、作为生成输入等行为与之前一致。内置节点仅这六种,其余均为插件。
+- 画布节点插件系统:左上菜单新增「节点插件」,可通过 URL 安装远程插件、启用/禁用、更新、卸载;安装时有安全警告说明插件代码在页面内执行、可访问本地数据。可用 `/plugins/sticky-note.js` 安装便利贴节点验证:换色、编辑、「衍生文本节点」(演示 applyOps 增节点+连线)。
+- 画布节点插件系统:示例插件 Markdown(编辑/渲染)、HTML(沙箱 iframe 渲染,支持 {{input}} 注入上游文本)、SVG(渲染/编辑,可取上游文本 SVG 源码)、3D 全景(three.js CDN 动态加载,可从上游图片节点取全景图并拖拽查看);均为远程插件,需分别安装 `/plugins/markdown.js`、`/plugins/html.js`、`/plugins/svg.js`、`/plugins/panorama.js` 后验证创建、渲染、编辑及与上游节点的交互。
+- 画布节点插件系统:卸载或禁用插件后,画布上遗留的该类型节点显示「缺少插件」占位且数据保留,重新安装/启用后恢复渲染;需验证刷新后已启用插件自动加载。
+- 画布节点插件系统:每个插件为 `plugins/canvas/<name>/` 独立目录(各自 package.json + esbuild + src + README,互不耦合),`npm run build` 产物落到 `dist/<name>.js` 并同步到 `web/public/plugins/`;需验证各插件可独立构建与安装。
+- 画布节点插件本地开发:每个插件支持 `npm run dev`(watch 自动构建并同步到 `web/public/plugins/`),配合 `web/.env.local` 的 `VITE_DEV_PLUGINS`(逗号分隔 URL)每次刷新重新拉取、无需反复安装;需验证改源码刷新页面即生效。
+- 画布节点创建:鼠标左键双击画布空白区域会在点击位置打开节点选择菜单,可创建文本、图片、视频、音频、生成配置和组节点;双击已有节点或连线不应触发菜单。
+- 本地 Agent 连接说明：新增提醒说明只有安装 Codex 插件或手动添加 MCP 后才会增加 Codex token 消耗，直接运行 `npx -y @basketikun/canvas-agent` 不会安装 MCP；需验证文案位置清晰。
+- 本地 Agent 连接说明：画布面板和配置页 Codex Tab 改为区分“Codex 插件启动画布”和“直接运行 Agent 后网页连接”两种方式，需验证文案和布局清晰。
+- 全站 Agent：Agent 面板从画布页抽离为全站常驻面板，挂在全局布局右侧，开/关只挤压左侧内容不遮挡；顶栏和画布工具条各有一个开关按钮，需验证在首页、生图、视频、素材、提示词库、画布等页面都能打开面板并保持 SSE 连接不断开。
+- 全站 Agent：新增 `site_navigate` 工具，Agent 可直接跳转 `/`、`/canvas`、`/canvas/:id`、`/image`、`/video`、`/prompts`、`/assets`、`/config`；导航直接执行不走工具确认，需验证跳转正确且面板不消失。
+- 全站 Agent：画布工具（canvas_apply_ops 等）仅在当前处于画布页时可用，不在画布页调用会返回“当前不在画布页，请先用 site_navigate 打开画布”，需验证 Agent 会先导航到画布再执行画布操作。
+- 全站 Agent：Codex 会话改为单一站点级连续线程（不再按 canvasId 分），跨页面/跨画布保持同一条对话上下文，历史记录即这条线程；本地 Agent workspace 从按画布分改为固定 `site` workspace（`~/.infinite-canvas/codex-workspaces/site`），已装 `@basketikun/canvas-agent` 的用户需更新到新版本才生效。
+- 全站 Agent：移除仅前端调用 OpenAI responses 接口的在线画布助手死代码（含 `requestToolResponse`），Agent 统一走 MCP + 本地 Codex 链路。
+- 画布节点名称：每个节点保留 `title` 名称字段，默认名称显示在节点上方，双击名称可直接编辑，节点信息弹窗和 JSON 可查看该字段。
+- 画布节点工具条：节点顶部工具条改为点击选中节点后显示，单纯鼠标移入 / 移出节点不应再频繁弹出。
+- 画布组节点：组内子节点优先响应点击和拖拽；当鼠标位于组内节点上时，应移动 / 编辑该节点，而不是移动整个组。
+- 画布组节点：工具栏新增“组”节点，普通节点拖入组区域会高亮目标组，松手后自动吸附进组；拖出组区域会解除归属，拖动组节点会一起移动组内子节点。
+- GitHub Pages：新增版本 tag 触发的前端静态站点自动发布 workflow，需在仓库 Pages 设置中选择 GitHub Actions 并验证路由刷新回退。
+- 画布图片切图：行数 / 列数会生成可直接拖拽的等分切图线，并支持新增横向 / 纵向线、删除单条线、重置切图线和切片数量预览。
+- Codex App 插件：精简插件 README 安装步骤，更新插件网站和作者信息，并将 `open-canvas` 调整为默认打开在线画布、仅按需启动本地前端；需重新安装后确认详情页和两种打开流程正确。
+- 本地 Codex 连接画布文档：新增 Canvas Agent、MCP、SSE 与浏览器画布交互原理说明，需确认文档导航和描述是否清晰。
+- 顶部导航：缩小桌面顶部导航栏高度，导航项下划线和内容垂直对齐需确认。
+- 配置与用户偏好：新增独立顶部导航页面，并在页面和弹窗中复用同一套配置面板；新增 Codex Tab，展示插件安装和本地 Agent 启动步骤，可配置本地 Agent 地址、Connect token 和工具执行确认开关。
+- Codex 全局连接：配置页可直接连接本地 Canvas Agent，连接状态同步到画布和顶部 OpenAI 状态图标，刷新后会按本地保存的地址和 token 自动尝试重连；需验证已连接、连接中、连接失败、断开和刷新自动重连状态。
+- 画布 Agent：Codex 旧 thread 在重启后不可用时会自动新建会话并重试，需验证进入画布直接发送消息不会再出现 `thread not loaded` 或 `no rollout found`。
+- 画布 Agent：切换不同画布时会清空并重新加载当前 canvasId 对应的 Codex 会话，需验证不会继续显示上一个画布的对话。
+- 画布 Agent：右侧 Agent 面板移除网站 / 本机模式切换，固定使用本机 Agent。
+- 配置与用户偏好：每个模型渠道新增 OpenAI / Gemini 调用格式选择，默认 OpenAI，切换默认格式时同步更新默认 Base URL；渠道 Tab 增加紧凑醒目的提醒，说明模型是否可选需要到“模型”Tab 选择。
+- Gemini 调用格式：支持拉取 Gemini 模型列表，并用于文本问答、在线 Agent 工具调用、基础生图和图生图请求。
+- Gemini 生图：生图工作台和画布生图会把尺寸配置转换为 Gemini `responseFormat.image.aspectRatio` 传入，需验证 1:1、9:16、16:9 及自定义像素尺寸的输出比例。
+- 音频和视频生成：选择 Gemini 调用格式时先给出不支持提示，仍需使用 OpenAI 兼容渠道。
+- WebDAV 同步：移除 Next.js 转发代理和连接方式选择，改为浏览器前端直接连接 WebDAV 服务。
+- 提示词库：移除 Next.js route 抓取和服务端内存缓存，改为浏览器前端直连 GitHub 原始文件并缓存到 IndexedDB。
+- 提示词库：移除已 404 的 `EvoLinkAI/awesome-gpt-image-2-API-and-Prompts` 来源。
+- 前端构建：移除 Next.js，改为 Vite + React Router，并将前端目录调整为 `pages` / `components` / `stores` / `lib` / `layouts` / `styles`，需验证首页、图片/视频工作台、素材、提示词库和画布路由跳转。
+- 前端构建：修复 TypeScript 严格检查下的构建报错。
+- Vercel 部署：新增 `web` 和 `docs` 两个子项目的 Vercel 配置，需分别验证静态前端和文档站部署。
+- Docker 部署：运行镜像从 Node serve 改为 nginx 静态托管，需验证前端路由刷新回退。
+- 环境变量：移除过期的后端 `.env.example` 示例文件。
+- 生图工作台：修复失败图片点击重试后只保存在页面状态、刷新或跳转后丢失的问题，重试成功结果会写入本地图片存储和生成记录。
+- 视频生成：任务查询接口直接返回 `url` / `result_url` / `video_url` 时会跳过 `/content` 下载，并优先保存到浏览器本地媒体存储。
+- 视频生成：任务创建或查询失败时会解析接口返回的 `msg` / `message` / 嵌套 JSON 错误，并在生成结果失败卡片里展示真实原因。
+- 画布生成配置：修复切换文本/视频/音频模式时模型选择仍显示为生图模型（gpt-image-2）的问题，切换模式后应自动匹配对应能力的默认模型。
@@ -0,0 +1,66 @@
+---
+title: 提示词面板引用显示图片缩略图规划
+description: 将提示词面板输入框从 textarea 改造为 contentEditable，让 @ 引用直接显示真实图片缩略图
+---
+
+# 提示词面板 @ 引用显示真实图片缩略图
+
+## 背景 / 要解决的问题
+
+提示词面板（`CanvasNodePromptPanel`）的输入框里，`@` 引用一张图片后，显示的是蓝色文字 chip「图片1」。期望**直接显示这张图片的真实缩略图**，而不是文字编号。
+
+当前该输入框是原生 `<textarea>`，只能承载纯文本，无法内嵌图片。要显示缩略图，必须改用 `contentEditable`（可编辑 div），把引用做成带 `<img>` 的原子小卡片。项目里「组装提示词」组件（`CanvasConfigComposer`）已经是这套 contentEditable + 图片 chip 的成熟实现，可作蓝本。
+
+## 关键约束（为什么不能直接改现有组件）
+
+`CanvasResourceMentionTextarea` 被两处复用：
+
+1. **提示词面板** `web/src/components/canvas/canvas-node-prompt-panel.tsx` —— 本次要改的对象。`highlightLabels` 默认 true，value 是提示词字符串，引用以 label 文本「图片1」嵌在其中，**直接发给 AI**（配合 `web/src/lib/image-reference-prompt.ts` 的「参考图片编号：图片1」前缀）。
+2. **节点内文本编辑** `web/src/components/canvas/canvas-node.tsx`（`isEditingContent` 分支）—— `highlightLabels={false}`，通过 `ref` 调用 `textarea.setSelectionRange(...)` 等 **textarea 专有 API**。若把组件改成 contentEditable，这处会直接崩。
+
+> 结论：**新建一个 contentEditable chip 输入组件，只替换提示词面板那一处**；`CanvasResourceMentionTextarea`（textarea 版）保持不动，继续服务节点内文本编辑。
+
+## 方案：新增 `CanvasPromptChipInput` 组件
+
+新文件 `web/src/components/canvas/canvas-prompt-chip-input.tsx`，参照 `canvas-config-composer.tsx` 的 contentEditable 模式，但有一处**核心差异**：
+
+- 「组装提示词」把引用序列化成 `@[node:UUID]` 标记；
+- 本组件的 value 必须保持**引用的 label 文本**（如「图片1」），这样发给生成的提示词语义不变。因此 chip ↔ 文本的序列化用 **label 文本**，不是 node 标记。
+
+### 组件契约（与现用法一致）
+
+Props：`value: string`、`references: CanvasResourceReference[]`、`onChange(value)`、`onSubmit?()`、`className`、`style`、`placeholder`。图片缩略图取 `reference.previewUrl`（即 `node.metadata.content`，已存在于 `CanvasResourceReference`）。
+
+### 实现要点（大量复用 composer 的做法）
+
+1. **DOM ← value（未聚焦时重建）**：仿 `CanvasConfigComposer` 的重建 effect。用 active label 列表（`references.filter(active).map(label)`，按长度降序）把 value 字符串切成「文本片段 + 命中 label」，命中处插入 chip。聚焦时不重建（`document.activeElement === editor` 直接 return），避免与输入 / IME 打架。
+2. **chip 渲染**：仿 `createReferenceChip`。image 类型 → `size-6` 的 `<img src={reference.previewUrl}>`；其它类型 → 截断文字。chip 为 `contentEditable="false"` 的 `<span>`，用 `dataset.refLabel` 存 label 以便序列化。
+3. **value ← DOM（syncFromEditor）**：仿 `serializeNodes`，但 chip 序列化为 `dataset.refLabel`（label 文本）而非 node 标记；文本节点原样拼接，`<br>` → `\n`。
+4. **@ 菜单**：复用 `textBeforeCaret` + `/@([^\s@]*)$/` 检测；菜单定位改用 `getSelection().getRangeAt(0).getBoundingClientRect()`（比 textarea 的镜像 div 更简单、天然贴着光标）。菜单 UI 沿用现有 `MentionMenu` 的视觉（缩略图 + label + 副标题）。
+5. **原子删除**：直接复用 composer 的 `deleteAdjacentReference` / `adjacentReferenceNode` / `findReferenceSibling`——contentEditable + `contentEditable="false"` chip 天然整体删除。可把这几个通用 DOM 助手连同 `textBeforeCaret` / `placeCaretAtEnd` / `closestEditor` 复制进新组件（保持 composer 不动，规避回归风险）。
+6. **回车发送 + IME**：复用 `isPlainEnterKey` / `isImeComposing`（`@/lib/keyboard-event`）与 `onCompositionStart/End`，发送时调用 `onSubmit`。
+7. **占位符 & 样式**：空值时显示 placeholder（absolute 占位层）；容器套用面板传入的 `className/style`（`min-h-40`、透明底、无边框，与当前一致）。
+
+### 替换点
+
+`canvas-node-prompt-panel.tsx` 里把 `<CanvasResourceMentionTextarea .../>` 换成 `<CanvasPromptChipInput .../>`（同样的 value/references/onChange/onSubmit/className/style/placeholder）。其余（模型选择、设置、生成按钮）不动。
+
+### 不改动
+
+- `CanvasResourceMentionTextarea`（textarea 版）保留，节点内文本编辑继续用它。
+- 生成链路、`image-reference-prompt.ts` 前缀逻辑不变（value 仍是 label 文本）。
+
+## 影响文件
+
+- 新增：`web/src/components/canvas/canvas-prompt-chip-input.tsx`
+- 修改：`web/src/components/canvas/canvas-node-prompt-panel.tsx`（仅替换输入框组件 + 相应 import）
+
+## 验证
+
+1. `npx tsc --noEmit` 通过。
+2. dev server 刷新后：
+   - 连一张图片到图片 / 视频节点 → 面板输入框输入 `@` → 菜单贴着光标弹出 → 选中 → **输入框内显示该图的真实缩略图 chip**（不再是「图片1」文字）。
+   - 光标在 chip 后按一次 Backspace → 整个 chip 一次删除。
+   - 普通文字 + chip 混排，回车触发生成；确认发给生成的 prompt 里引用仍是「图片1」文本（生成结果正常引用到图）。
+   - 中文输入法输入不吞字、不误触发发送。
+   - 回归：双击文本节点进入内文本编辑仍正常（未受影响）。
@@ -0,0 +1,10 @@
+---
+title: TODO
+description: 当前项目后续值得处理的事项
+---
+
+# TODO
+
+本文档用来记录当前项目后续比较值得处理的事项。
+
+- 本地 Agent 接入后续：按[本地 Agent 接入规划](/docs/progress/local-agent-integration-plan)把 Claude Code CLI Adapter 升级为 Claude Agent SDK Adapter，并完善工具队列体验。
@@ -0,0 +1,25 @@
+---
+title: 打赏支持
+description: 支持无限画布项目继续维护
+---
+
+# 打赏支持
+
+如果本项目对你有帮助，欢迎通过打赏、Star、提供AI订阅账号等方式支持项目继续维护。
+
+项目开发大量依赖 Codex、Claude 等 AI 编程工具辅助写代码、排查问题和整理文档，这些工具需要持续付费。你的打赏会优先用于购买 AI 开发工具、模型服务和项目维护相关资源，帮助项目继续迭代。
+
+## 支持方式
+
+支持方式包括但不限于：
+
+- 给 GitHub 仓库点 Star，帮助项目被更多人看到。
+- 金额打赏，用于支持 AI 工具订阅、模型服务和项目维护成本。
+- Codex、Claude 等 AI 编程工具订阅账号支持，帮助维护者持续使用 AI 辅助开发。
+
+<div className="not-prose mt-6 flex flex-wrap items-center gap-3">
+  <span className="text-lg font-semibold text-fd-foreground">赞助地址：</span>
+  <a href="https://ifdian.net/a/basketikun" target="_blank" rel="noreferrer" className="inline-flex">
+    <img src="https://img.shields.io/badge/%E7%88%B1%E5%8F%91%E7%94%B5-%E8%B5%9E%E5%8A%A9%E4%BD%9C%E8%80%85-946ce6?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0id2hpdGUiPjxwYXRoIGQ9Ik0xMiAyMS4zNWwtMS40NS0xLjMyQzUuNCAxNS4zNiAyIDEyLjI4IDIgOC41IDIgNS40MiA0LjQyIDMgNy41IDNjMS43NCAwIDMuNDEuODEgNC41IDIuMDlDMTMuMDkgMy44MSAxNC43NiAzIDE2LjUgMyAxOS41OCAzIDIyIDUuNDIgMjIgOC41YzAgMy43OC0zLjQgNi44Ni04LjU1IDExLjU0TDEyIDIxLjM1eiIvPjwvc3ZnPg==&logoColor=white" alt="爱发电赞助" />
+  </a>
+</div>
@@ -0,0 +1,10 @@
+{
+  "title": "支持与安全",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "security",
+    "donate",
+    "sponsor"
+  ]
+}
@@ -0,0 +1,34 @@
+---
+title: 漏洞提交
+description: 安全漏洞提交和负责任披露说明
+---
+
+# 漏洞提交
+
+安全策略英文原文见 [SECURITY.md](https://github.com/basketikun/infinite-canvas/blob/main/SECURITY.md)。
+
+请不要在公开 Issue 中直接发布漏洞细节、可利用代码、私密 API Key、截图中的敏感信息或真实用户数据。
+
+## 提交流程
+
+优先使用 GitHub 的私密漏洞报告或 Security Advisory。如果仓库没有开启对应入口，请发送邮件至 [1844025705@qq.com](mailto:1844025705@qq.com)，邮件标题建议使用：
+
+```text
+[infinite-canvas security]
+```
+
+如果暂时无法使用私密渠道，可以先开一个公开 Issue 请求维护者提供私密联系方式，但不要在 Issue 中写入漏洞细节。
+
+## 建议提供的信息
+
+- 受影响的版本、提交、分支或部署方式。
+- 清晰的复现步骤。
+- 漏洞影响、攻击场景和触发条件。
+- 已脱敏的日志、截图或 PoC。
+- 是否涉及浏览器本地存储、API Key、WebDAV 同步、AI 渠道配置或接口请求。
+
+## 范围说明
+
+项目会优先处理由本仓库代码或默认配置导致的 XSS、敏感信息泄露、文件处理、导入导出、WebDAV 同步、权限控制和供应链风险。
+
+第三方模型服务、托管平台、浏览器插件、用户自行泄露的 API Key、没有实际利用路径的安全头建议、纯社工钓鱼或账号找回问题通常不属于本项目漏洞范围。
@@ -0,0 +1,27 @@
+---
+title: 广告赞助
+description: 广告赞助、项目露出和社区推广说明
+---
+
+# 广告赞助
+
+如果你希望在项目文档、README 或相关页面获得赞助露出，可以直接通过邮箱联系项目维护者沟通位置、周期和展示形式。
+
+## 适合的赞助内容
+
+- AI 工具、模型服务、API 服务或开发者工具。
+- 与图片、视频、文本生成工作流相关的产品。
+- 适合开源项目用户和 AI 创作者使用的服务。
+
+## 建议提供的信息
+
+- 品牌或产品名称。
+- 希望展示的位置和周期。
+- 需要展示的链接、文案和素材。
+- 预算区间和合作方式。
+
+## 联系方式
+
+请直接发送邮件至 [1844025705@qq.com](mailto:1844025705@qq.com)，并在邮件标题中注明“广告赞助”。
+
+如果已经有展示素材或投放计划，可以在邮件中一并说明。
@@ -1,33 +0,0 @@
-# Render 部署
-
-点击下面按钮即可部署到 Render：
-
-[![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://render.com/deploy?repo=https://github.com/basketikun/infinite-canvas)
-
-## 部署步骤
-
-1. 点击 `Deploy to Render`。
-2. 登录 Render，并按页面提示连接 GitHub。
-3. 填写 `ADMIN_PASSWORD`，然后点击确认部署。
-
-部署完成后，打开 Render 分配的 `.onrender.com` 域名即可访问。
-
-## 免费版说明
-
-默认使用 Render 免费 Web Service：
-
- 空闲约 15 分钟后会休眠，下次访问会自动唤醒。
- 免费版本地文件不是持久化存储，SQLite 数据可能在重启、重新部署后丢失。
- 适合体验和演示，不适合长期保存正式数据。
-
-如果要长期使用，建议升级 Render 付费实例并挂载 Persistent Disk，或改用 PostgreSQL。
-
-## 管理员账号
-
-默认管理员用户名：
-
-```text
-admin
-```
-
-管理员密码是在 Render 部署页面里填写的 `ADMIN_PASSWORD`。
@@ -0,0 +1,8 @@
+services:
+  docs:
+    build:
+      context: ..
+      dockerfile: docs/Dockerfile
+    ports:
+      - "3001:3000"
+    restart: unless-stopped
@@ -0,0 +1,6 @@
+services:
+  docs:
+    image: ghcr.io/basketikun/infinite-canvas-docs:latest
+    ports:
+      - "3001:3000"
+    restart: unless-stopped
@@ -0,0 +1,46 @@
+# 无限画布文档索引
+
+## 项目介绍
+
+- [快速开始](/docs/overview/quick-start)
+- [功能介绍](/docs/overview/features)
+- [Render 部署](/docs/overview/render)
+- [Docker 部署](/docs/overview/docker)
+- [第三方 GitHub 提示词仓库](/docs/overview/third-party-prompt-repositories)
+
+## 操作手册
+
+- [画布节点操作手册](/docs/canvas/canvas-node-manual)
+- [画布快捷键](/docs/canvas/canvas-shortcuts)
+
+## 开发与数据
+
+- [本地开发](/docs/development/local-development)
+- [画布数据结构](/docs/development/canvas-data-structure)
+
+## 商务合作
+
+- [开源协议](/docs/business/license)
+- [贡献者协议](/docs/business/cla)
+- [商务合作](/docs/business/business)
+
+## 支持与安全
+
+- [漏洞提交](/docs/support/security)
+- [打赏支持](/docs/support/donate)
+- [广告赞助](/docs/support/sponsor)
+
+## 项目进度
+
+- [更新日志](/docs/progress/changelog)
+- [待测试](/docs/progress/pending-test)
+- [TODO](/docs/progress/todo)
+
+## 说明
+
+- 当前画布项目和“我的素材”主要保存在浏览器本地，跨设备可自行配置 WebDAV 同步。
+- AI API Key 保存在浏览器本地，并由前端直接请求 OpenAI 兼容接口。
+
+## 原理说明
+
+- [本地 Codex 连接画布原理](/docs/overview/local-codex-canvas)
@@ -0,0 +1,11 @@
+import { createMDX } from 'fumadocs-mdx/next';
+
+const withMDX = createMDX();
+
+/** @type {import('next').NextConfig} */
+const config = {
+  output: 'standalone',
+  reactStrictMode: true,
+};
+
+export default withMDX(config);
@@ -0,0 +1,34 @@
+{
+  "name": "docs",
+  "version": "0.0.0",
+  "private": true,
+  "scripts": {
+    "build": "next build",
+    "dev": "next dev",
+    "start": "next start",
+    "types:check": "fumadocs-mdx && next typegen && tsc --noEmit",
+    "postinstall": "fumadocs-mdx"
+  },
+  "dependencies": {
+    "@orama/orama": "^3.1.18",
+    "fumadocs-core": "16.9.3",
+    "fumadocs-mdx": "15.0.10",
+    "fumadocs-ui": "16.9.3",
+    "lucide-react": "^1.17.0",
+    "next": "16.2.6",
+    "react": "^19.2.6",
+    "react-dom": "^19.2.6",
+    "tailwind-merge": "^3.6.0"
+  },
+  "devDependencies": {
+    "@tailwindcss/postcss": "^4.3.0",
+    "@types/mdx": "^2.0.13",
+    "@types/node": "^25.9.1",
+    "@types/react": "^19.2.15",
+    "@types/react-dom": "^19.2.3",
+    "postcss": "^8.5.15",
+    "serve": "^14.2.6",
+    "tailwindcss": "^4.3.0",
+    "typescript": "^6.0.3"
+  }
+}
@@ -1,10 +0,0 @@
-# 待测试
-
- 模型选择器改为共享的 shadcn 风格下拉，按模型名称显示 OpenAI、Claude、Gemini 图标，并把画布节点下方、右侧助手和配置弹窗统一到同一套组件；右侧助手的模型和模式按钮会随工具栏宽度自动在文字态和图标态之间切换，需要确认生图页、画布助手、节点配置和配置弹窗中的选中态和下拉列表显示正常。
- 画布图像设置里的尺寸输入去掉了原生数字步进箭头，需要确认宽高仍可直接输入、禁用态正常、设置值回写正常。
- 后台提示词定时同步默认改为开启且默认每 5 分钟执行一次，需要确认新环境未保存过设置时开关默认打开、Cron 默认值正确，用户手动关闭或修改 Cron 后能保持配置。
- 画布右侧助手和节点下方对话框的生图设置弹层改为紧凑图像设置面板，面板只包含质量、尺寸、宽高比和生成数量选择，模型选择保留在对话框底部工具栏；需要确认助手内设置面板不会被右侧面板裁切，节点内质量可正常选择并参与生成、尺寸可编辑、宽高比预览显示正常且为直角矩形、auto 不重复显示、张数每行 4 个且自定义输入框能显示当前值、实际生图参数正常；节点设置面板打开时会隐藏节点悬浮工具条，避免遮挡质量选择。
- 管理后台 `/admin/prompts` 新增提示词批量删除，需要确认多选、确认弹窗、删除后列表刷新和筛选条件下删除行为。
- 管理后台 `/admin/settings` 的私有配置新增提示词定时同步开关和 Cron 表达式；开启后后端会按配置同步内置 GitHub 远程提示词源，需要确认保存配置和到点同步行为。
- 管理后台 `/admin/settings` 中的渠道模型列表获取和模型测试已改为走后端接口，前端不再直接读取或转发 API Key，需要确认保存后、编辑中和已有渠道三种场景都能正常拉取模型和测试连通性。
- 提示词远程源新增 `davidwuw0811-boop/awesome-gpt-image2-prompts`，同步时会读取仓库 `prompts.json` 的结构化数据，需要确认后台同步后分类、封面图、标签和提示词内容展示正常。
@@ -0,0 +1,7 @@
+const config = {
+  plugins: {
+    '@tailwindcss/postcss': {},
+  },
+};
+
+export default config;
@@ -0,0 +1 @@
+<svg fill="currentColor" fill-rule="evenodd" height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Github</title><path d="M12 0c6.63 0 12 5.276 12 11.79-.001 5.067-3.29 9.567-8.175 11.187-.6.118-.825-.25-.825-.56 0-.398.015-1.665.015-3.242 0-1.105-.375-1.813-.81-2.181 2.67-.295 5.475-1.297 5.475-5.822 0-1.297-.465-2.344-1.23-3.169.12-.295.54-1.503-.12-3.125 0 0-1.005-.324-3.3 1.209a11.32 11.32 0 00-3-.398c-1.02 0-2.04.133-3 .398-2.295-1.518-3.3-1.209-3.3-1.209-.66 1.622-.24 2.83-.12 3.125-.765.825-1.23 1.887-1.23 3.169 0 4.51 2.79 5.527 5.46 5.822-.345.294-.66.81-.765 1.577-.69.31-2.415.81-3.495-.973-.225-.354-.9-1.223-1.845-1.209-1.005.015-.405.56.015.781.51.28 1.095 1.327 1.23 1.666.24.663 1.02 1.93 4.035 1.385 0 .988.015 1.916.015 2.196 0 .31-.225.664-.825.56C3.303 21.374-.003 16.867 0 11.791 0 5.276 5.37 0 12 0z"></path></svg>
@@ -0,0 +1,4 @@
+<svg width="64" height="64" viewBox="0 0 64 64" fill="none" xmlns="http://www.w3.org/2000/svg">
+  <path d="M32 8L58 54H46L32 29L18 54H6L32 8Z" fill="currentColor"/>
+  <path d="M32 40L40 54H24L32 40Z" fill="currentColor"/>
+</svg>
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1780302626117" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1702" xmlns:xlink="http://www.w3.org/1999/xlink" width="200" height="200"><path d="M824.8 613.2c-16-51.4-34.4-94.6-62.7-165.3C766.5 262.2 689.3 112 511.5 112 331.7 112 256.2 265.2 261 447.9c-28.4 70.8-46.7 113.7-62.7 165.3-34 109.5-23 154.8-14.6 155.8 18 2.2 70.1-82.4 70.1-82.4 0 49 25.2 112.9 79.8 159-26.4 8.1-85.7 29.9-71.6 53.8 11.4 19.3 196.2 12.3 249.5 6.3 53.3 6 238.1 13 249.5-6.3 14.1-23.8-45.3-45.7-71.6-53.8 54.6-46.2 79.8-110.1 79.8-159 0 0 52.1 84.6 70.1 82.4 8.5-1.1 19.5-46.4-14.5-155.8z" p-id="1703"></path></svg>
@@ -0,0 +1,23 @@
+import { defineConfig, defineDocs } from 'fumadocs-mdx/config';
+import { metaSchema, pageSchema } from 'fumadocs-core/source/schema';
+
+// You can customize Zod schemas for frontmatter and `meta.json` here
+// see https://fumadocs.dev/docs/mdx/collections
+export const docs = defineDocs({
+  dir: 'content/docs',
+  docs: {
+    schema: pageSchema,
+    postprocess: {
+      includeProcessedMarkdown: true,
+    },
+  },
+  meta: {
+    schema: metaSchema,
+  },
+});
+
+export default defineConfig({
+  mdxOptions: {
+    // MDX options
+  },
+});
@@ -0,0 +1,6 @@
+import { HomeLayout } from 'fumadocs-ui/layouts/home';
+import { baseOptions } from '@/lib/layout.shared';
+
+export default function Layout({ children }: LayoutProps<'/'>) {
+  return <HomeLayout {...baseOptions()}>{children}</HomeLayout>;
+}
@@ -0,0 +1,171 @@
+import Link from 'next/link';
+import { ArrowUpRight, BookOpen, Rocket } from 'lucide-react';
+import { appName, gitConfig } from '@/lib/shared';
+
+const githubUrl = `https://github.com/${gitConfig.user}/${gitConfig.repo}`;
+const demoUrl = 'https://canvas.best/';
+const starHistoryUrl = `https://www.star-history.com/?repos=${gitConfig.user}%2F${gitConfig.repo}&type=date`;
+const starHistoryChart = `https://api.star-history.com/chart?repos=${gitConfig.user}/${gitConfig.repo}&type=date&transparent=true`;
+const darkStarHistoryChart = `${starHistoryChart}&theme=dark`;
+
+const previewImages = [
+  {
+    src: 'https://i.ibb.co/TDFvGWDT/image.png',
+    title: '画布编排',
+  },
+  {
+    src: 'https://i.ibb.co/zVwJq3YS/image.png',
+    title: '图片生成',
+  },
+  {
+    src: 'https://i.ibb.co/PvY3qhhK/image.png',
+    title: '参考图编辑',
+  },
+  {
+    src: 'https://i.ibb.co/7D04LwN/image.png',
+    title: '节点工作流',
+  },
+];
+
+export default function HomePage() {
+  return (
+    <main className="mx-auto flex w-full max-w-6xl flex-1 flex-col px-5 pb-16 pt-8 md:px-10 md:pt-14">
+      <section className="grid min-h-[520px] items-center gap-10 border-b border-zinc-200 pb-12 dark:border-zinc-800 lg:grid-cols-[0.88fr_1.12fr]">
+        <div>
+          <div className="inline-flex items-center gap-2 text-xs font-medium text-zinc-500 dark:text-zinc-400">
+            <Rocket className="size-3.5 text-emerald-600 dark:text-emerald-400" />
+            开源 AI 图片创作工作台
+          </div>
+          <h1 className="mt-6 max-w-3xl text-4xl font-semibold leading-tight text-zinc-950 dark:text-zinc-50 md:text-6xl [font-family:var(--font-display)]">
+            {appName}
+            <span className="block text-zinc-500 dark:text-zinc-400">文档中心</span>
+          </h1>
+          <p className="mt-6 max-w-2xl text-base leading-8 text-zinc-600 dark:text-zinc-400">
+            面向图片创作的无限画布，把画布编排、AI 生成、参考图编辑、提示词库和素材沉淀放在同一个工作流里。
+          </p>
+          <div className="mt-8 flex flex-wrap gap-3">
+            <Link
+              href="/docs/overview/quick-start"
+              className="inline-flex items-center justify-center gap-2 rounded-full bg-zinc-950 px-5 py-3 text-sm font-medium text-white transition hover:bg-zinc-800 dark:bg-zinc-100 dark:text-zinc-950 dark:hover:bg-zinc-200"
+            >
+              <BookOpen className="size-4" />
+              快速开始
+            </Link>
+            <a
+              href={githubUrl}
+              target="_blank"
+              rel="noreferrer noopener"
+              className="inline-flex items-center justify-center gap-2 rounded-full border border-zinc-300 px-5 py-3 text-sm font-medium text-zinc-900 transition hover:border-zinc-900 hover:bg-zinc-100 dark:border-zinc-700 dark:text-zinc-100 dark:hover:border-zinc-500 dark:hover:bg-zinc-900"
+            >
+              <img src="/github.svg" alt="" className="size-4" />
+              GitHub
+            </a>
+            <a
+              href={demoUrl}
+              target="_blank"
+              rel="noreferrer noopener"
+              className="inline-flex items-center justify-center gap-2 rounded-full border border-zinc-300 px-5 py-3 text-sm font-medium text-zinc-900 transition hover:border-zinc-900 hover:bg-zinc-100 dark:border-zinc-700 dark:text-zinc-100 dark:hover:border-zinc-500 dark:hover:bg-zinc-900"
+            >
+              在线体验
+              <ArrowUpRight className="size-4" />
+            </a>
+          </div>
+        </div>
+
+        <div className="overflow-hidden rounded-2xl lg:w-[108%] lg:max-w-none">
+          <img
+            src={previewImages[3].src}
+            alt="无限画布效果图"
+            className="aspect-[16/10] w-full rounded-xl object-cover"
+          />
+        </div>
+      </section>
+
+      <section className="mt-14">
+        <div className="flex flex-col gap-2 md:flex-row md:items-end md:justify-between">
+          <div>
+            <h2 className="text-2xl font-semibold text-zinc-950 dark:text-zinc-50 md:text-3xl">
+              效果展示
+            </h2>
+          </div>
+          <Link
+            href="/docs/overview/features"
+            className="inline-flex w-fit items-center gap-1.5 text-sm font-medium text-zinc-800 transition hover:text-zinc-950 dark:text-zinc-200 dark:hover:text-white"
+          >
+            功能介绍
+            <ArrowUpRight className="size-4" />
+          </Link>
+        </div>
+        <div className="mt-6 grid gap-4 md:grid-cols-2">
+          {previewImages.map((item) => (
+            <img
+              key={item.src}
+              src={item.src}
+              alt={`${item.title}效果图`}
+              loading="lazy"
+              decoding="async"
+              className="aspect-[16/10] w-full rounded-2xl object-cover"
+            />
+          ))}
+        </div>
+      </section>
+
+      <section className="mx-auto mt-16 w-full max-w-4xl text-center">
+        <h2 className="text-2xl font-semibold text-zinc-950 dark:text-zinc-50 md:text-3xl">
+          开发贡献者
+        </h2>
+        <p className="mt-2 text-sm text-zinc-500 dark:text-zinc-400">
+          感谢所有为本项目做出贡献的开发者
+        </p>
+        <div className="mt-7 flex justify-center">
+          <a
+            href={`${githubUrl}/graphs/contributors`}
+            target="_blank"
+            rel="noreferrer noopener"
+            className="inline-flex max-w-full"
+          >
+            <img
+              src={`https://contrib.rocks/image?repo=${gitConfig.user}/${gitConfig.repo}`}
+              alt="开发贡献者头像"
+              loading="lazy"
+              decoding="async"
+              className="max-w-full"
+            />
+          </a>
+        </div>
+      </section>
+
+      <section className="mx-auto mt-16 w-full max-w-5xl text-center">
+        <h2 className="text-2xl font-semibold text-zinc-950 dark:text-zinc-50 md:text-3xl">
+          Star History
+        </h2>
+        <div className="mt-7 flex justify-center">
+          <a
+            href={starHistoryUrl}
+            target="_blank"
+            rel="noreferrer noopener"
+            className="block w-full max-w-4xl"
+          >
+            <picture>
+              <source
+                media="(prefers-color-scheme: dark)"
+                srcSet={darkStarHistoryChart}
+              />
+              <source
+                media="(prefers-color-scheme: light)"
+                srcSet={starHistoryChart}
+              />
+              <img
+                src={starHistoryChart}
+                alt="Star History Chart"
+                loading="lazy"
+                decoding="async"
+                className="mx-auto w-full"
+              />
+            </picture>
+          </a>
+        </div>
+      </section>
+    </main>
+  );
+}
@@ -0,0 +1,11 @@
+import { source } from '@/lib/source';
+import { createDocsSearchTokenizer } from '@/lib/search-tokenizer';
+import { createFromSource } from 'fumadocs-core/search/server';
+
+export const revalidate = false;
+
+export const { staticGET: GET } = createFromSource(source, {
+  components: {
+    tokenizer: createDocsSearchTokenizer(),
+  },
+});
@@ -0,0 +1,20 @@
+import { DocPageContent, getDocPageMetadata } from '@/lib/doc-page';
+import { source } from '@/lib/source';
+import type { Metadata } from 'next';
+import { notFound } from 'next/navigation';
+
+export default async function Page(props: PageProps<'/docs/[...slug]'>) {
+  const params = await props.params;
+  const page = source.getPage(params.slug);
+  if (!page) notFound();
+
+  return <DocPageContent page={page} />;
+}
+
+export async function generateMetadata(props: PageProps<'/docs/[...slug]'>): Promise<Metadata> {
+  const params = await props.params;
+  const page = source.getPage(params.slug);
+  if (!page) notFound();
+
+  return getDocPageMetadata(page);
+}
@@ -0,0 +1,13 @@
+import { source } from '@/lib/source';
+import { DocsLayout } from 'fumadocs-ui/layouts/docs';
+import { baseOptions } from '@/lib/layout.shared';
+import { DocsTopTabs } from '@/components/docs-top-tabs';
+
+export default function Layout({ children }: LayoutProps<'/docs'>) {
+  return (
+    <DocsLayout {...baseOptions()} tree={source.getPageTree()} tabs={false}>
+      <DocsTopTabs />
+      {children}
+    </DocsLayout>
+  );
+}
@@ -0,0 +1,39 @@
+import { DocsBody, DocsDescription, DocsPage, DocsTitle } from 'fumadocs-ui/layouts/docs/page';
+import { Markdown } from 'fumadocs-core/content/md';
+import { getTableOfContents } from 'fumadocs-core/content/toc';
+import { remarkHeading } from 'fumadocs-core/mdx-plugins';
+import { readFile } from 'node:fs/promises';
+import { join } from 'node:path';
+import type { Metadata } from 'next';
+import { getMDXComponents } from '@/components/mdx';
+
+const title = '无限画布文档';
+const description = '功能说明、操作手册、部署方式、开发文档、商务合作与赞助支持';
+
+async function readDocsIndex() {
+  return readFile(join(process.cwd(), 'index.md'), 'utf8');
+}
+
+export default async function Page() {
+  const content = await readDocsIndex();
+  const toc = getTableOfContents(content);
+
+  return (
+    <DocsPage toc={toc}>
+      <DocsTitle>{title}</DocsTitle>
+      <DocsDescription>{description}</DocsDescription>
+      <DocsBody>
+        <Markdown components={getMDXComponents()} remarkPlugins={[remarkHeading]}>
+          {content}
+        </Markdown>
+      </DocsBody>
+    </DocsPage>
+  );
+}
+
+export function generateMetadata(): Metadata {
+  return {
+    title,
+    description,
+  };
+}
@@ -0,0 +1,39 @@
+import { DocsBody, DocsDescription, DocsPage, DocsTitle } from 'fumadocs-ui/layouts/docs/page';
+import { Markdown } from 'fumadocs-core/content/md';
+import { getTableOfContents } from 'fumadocs-core/content/toc';
+import { remarkHeading } from 'fumadocs-core/mdx-plugins';
+import { readFile } from 'node:fs/promises';
+import { join } from 'node:path';
+import type { Metadata } from 'next';
+import { getMDXComponents } from '@/components/mdx';
+
+const title = '更新日志';
+const description = '项目版本变更记录';
+
+async function readChangelog() {
+  return readFile(join(process.cwd(), '..', 'CHANGELOG.md'), 'utf8');
+}
+
+export default async function ChangelogPage() {
+  const changelog = await readChangelog();
+  const toc = getTableOfContents(changelog);
+
+  return (
+    <DocsPage toc={toc}>
+      <DocsTitle>{title}</DocsTitle>
+      <DocsDescription>{description}</DocsDescription>
+      <DocsBody>
+        <Markdown components={getMDXComponents()} remarkPlugins={[remarkHeading]}>
+          {changelog}
+        </Markdown>
+      </DocsBody>
+    </DocsPage>
+  );
+}
+
+export function generateMetadata(): Metadata {
+  return {
+    title,
+    description,
+  };
+}
@@ -0,0 +1,21 @@
+@import 'tailwindcss';
+@import 'fumadocs-ui/css/neutral.css';
+@import 'fumadocs-ui/css/preset.css';
+
+:root {
+  --font-body: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'PingFang SC', 'Microsoft YaHei', Arial, sans-serif;
+  --font-display: 'Segoe UI', 'PingFang SC', 'Microsoft YaHei', Arial, sans-serif;
+}
+
+html {
+  scrollbar-gutter: stable;
+}
+
+body {
+  font-family: var(--font-body);
+}
+
+html > body[data-scroll-locked] {
+  margin-right: 0px !important;
+  --removed-body-scroll-bar-size: 0px !important;
+}
@@ -0,0 +1,4 @@
+<svg width="64" height="64" viewBox="0 0 64 64" fill="none" xmlns="http://www.w3.org/2000/svg">
+  <path d="M32 8L58 54H46L32 29L18 54H6L32 8Z" fill="currentColor"/>
+  <path d="M32 40L40 54H24L32 40Z" fill="currentColor"/>
+</svg>
@@ -0,0 +1,12 @@
+import { Provider } from '@/components/provider';
+import './global.css';
+
+export default function Layout({ children }: LayoutProps<'/'>) {
+  return (
+    <html lang="zh-CN" suppressHydrationWarning>
+      <body className="flex flex-col min-h-screen">
+        <Provider>{children}</Provider>
+      </body>
+    </html>
+  );
+}
@@ -0,0 +1,13 @@
+import { getLLMText, source } from '@/lib/source';
+import { readFile } from 'node:fs/promises';
+import { join } from 'node:path';
+
+export const revalidate = false;
+
+export async function GET() {
+  const docsIndex = await readFile(join(process.cwd(), 'index.md'), 'utf8');
+  const scan = source.getPages().map(getLLMText);
+  const scanned = await Promise.all(scan);
+
+  return new Response([docsIndex, ...scanned].join('\n\n'));
+}
@@ -0,0 +1,23 @@
+import { getLLMText, getPageMarkdownUrl, source } from '@/lib/source';
+import { notFound } from 'next/navigation';
+
+export const revalidate = false;
+
+export async function GET(_req: Request, { params }: RouteContext<'/llms.mdx/docs/[[...slug]]'>) {
+  const { slug } = await params;
+  // remove the appended "content.md"
+  const page = source.getPage(slug?.slice(0, -1));
+  if (!page) notFound();
+
+  return new Response(await getLLMText(page), {
+    headers: {
+      'Content-Type': 'text/markdown',
+    },
+  });
+}
+
+export function generateStaticParams() {
+  return source.getPages().map((page) => ({
+    slug: getPageMarkdownUrl(page).segments,
+  }));
+}
@@ -0,0 +1,11 @@
+import { source } from '@/lib/source';
+import { llms } from 'fumadocs-core/source';
+import { readFile } from 'node:fs/promises';
+import { join } from 'node:path';
+
+export const revalidate = false;
+
+export async function GET() {
+  const docsIndex = await readFile(join(process.cwd(), 'index.md'), 'utf8');
+  return new Response([docsIndex, llms(source).index()].join('\n\n'));
+}
@@ -0,0 +1,41 @@
+'use client';
+
+import Link from 'next/link';
+import { usePathname } from 'next/navigation';
+import { cn } from '@/lib/cn';
+
+const tabs = [
+  { title: '项目介绍', href: '/docs/overview/quick-start', prefix: '/docs/overview' },
+  { title: '操作手册', href: '/docs/canvas/canvas-node-manual', prefix: '/docs/canvas' },
+  { title: '开发文档', href: '/docs/development/local-development', prefix: '/docs/development' },
+  { title: '项目进度', href: '/docs/progress/changelog', prefix: '/docs/progress' },
+  { title: '商务合作', href: '/docs/business/business', prefix: '/docs/business' },
+  { title: '赞助支持', href: '/docs/support/donate', prefix: '/docs/support' },
+];
+
+export function DocsTopTabs() {
+  const pathname = usePathname();
+
+  return (
+    <nav className="sticky top-0 z-30 hidden h-12 self-start overflow-x-auto border-b bg-fd-background/95 px-6 pt-3 backdrop-blur [grid-area:main] md:flex xl:px-8">
+      <div className="flex flex-row items-end gap-6">
+        {tabs.map((tab) => {
+          const active = tab.prefix ? pathname === tab.href || pathname.startsWith(`${tab.prefix}/`) : pathname === tab.href;
+
+          return (
+            <Link
+              key={tab.href}
+              href={tab.href}
+              className={cn(
+                'inline-flex border-b-2 border-transparent pb-1.5 text-sm font-medium text-nowrap text-fd-muted-foreground transition-colors hover:text-fd-accent-foreground',
+                active && 'border-fd-primary text-fd-primary',
+              )}
+            >
+              {tab.title}
+            </Link>
+          );
+        })}
+      </div>
+    </nav>
+  );
+}
@@ -0,0 +1,15 @@
+import defaultMdxComponents from 'fumadocs-ui/mdx';
+import type { MDXComponents } from 'mdx/types';
+
+export function getMDXComponents(components?: MDXComponents) {
+  return {
+    ...defaultMdxComponents,
+    ...components,
+  } satisfies MDXComponents;
+}
+
+export const useMDXComponents = getMDXComponents;
+
+declare global {
+  type MDXProvidedComponents = ReturnType<typeof getMDXComponents>;
+}
@@ -0,0 +1,8 @@
+'use client';
+import SearchDialog from '@/components/search';
+import { RootProvider } from 'fumadocs-ui/provider/next';
+import { type ReactNode } from 'react';
+
+export function Provider({ children }: { children: ReactNode }) {
+  return <RootProvider search={{ SearchDialog }}>{children}</RootProvider>;
+}
@@ -0,0 +1,48 @@
+'use client';
+import {
+  SearchDialog,
+  SearchDialogClose,
+  SearchDialogContent,
+  SearchDialogHeader,
+  SearchDialogIcon,
+  SearchDialogInput,
+  SearchDialogList,
+  SearchDialogOverlay,
+  type SharedProps,
+} from 'fumadocs-ui/components/dialog/search';
+import { useDocsSearch } from 'fumadocs-core/search/client';
+import { create } from '@orama/orama';
+import { useI18n } from 'fumadocs-ui/contexts/i18n';
+import { createDocsSearchTokenizer } from '@/lib/search-tokenizer';
+
+function initOrama() {
+  return create({
+    schema: { _: 'string' },
+    components: {
+      tokenizer: createDocsSearchTokenizer(),
+    },
+  });
+}
+
+export default function DefaultSearchDialog(props: SharedProps) {
+  const { locale } = useI18n(); // (optional) for i18n
+  const { search, setSearch, query } = useDocsSearch({
+    type: 'static',
+    initOrama,
+    locale,
+  });
+
+  return (
+    <SearchDialog search={search} onSearchChange={setSearch} isLoading={query.isLoading} {...props}>
+      <SearchDialogOverlay />
+      <SearchDialogContent>
+        <SearchDialogHeader>
+          <SearchDialogIcon />
+          <SearchDialogInput />
+          <SearchDialogClose />
+        </SearchDialogHeader>
+        <SearchDialogList items={query.data !== 'empty' ? query.data : null} />
+      </SearchDialogContent>
+    </SearchDialog>
+  );
+}
@@ -0,0 +1 @@
+export { twMerge as cn } from 'tailwind-merge';
@@ -0,0 +1,45 @@
+import { getMDXComponents } from '@/components/mdx';
+import { gitConfig } from '@/lib/shared';
+import { getPageMarkdownUrl, source } from '@/lib/source';
+import type { Metadata } from 'next';
+import { createRelativeLink } from 'fumadocs-ui/mdx';
+import { DocsBody, DocsDescription, DocsPage, DocsTitle } from 'fumadocs-ui/page';
+import {
+  MarkdownCopyButton,
+  ViewOptionsPopover,
+} from 'fumadocs-ui/layouts/docs/page';
+
+export type DocPageData = (typeof source)['$inferPage'];
+
+export function DocPageContent({ page }: { page: DocPageData }) {
+  const MDX = page.data.body;
+  const markdownUrl = getPageMarkdownUrl(page).url;
+
+  return (
+    <DocsPage toc={page.data.toc} full={page.data.full} className="md:pt-20 xl:pt-24">
+      <DocsTitle>{page.data.title}</DocsTitle>
+      <DocsDescription className="mb-0">{page.data.description}</DocsDescription>
+      <div className="flex flex-row gap-2 items-center border-b pb-6">
+        <MarkdownCopyButton markdownUrl={markdownUrl} />
+        <ViewOptionsPopover
+          markdownUrl={markdownUrl}
+          githubUrl={`https://github.com/${gitConfig.user}/${gitConfig.repo}/blob/${gitConfig.branch}/${gitConfig.docsContentDir}/${page.path}`}
+        />
+      </div>
+      <DocsBody>
+        <MDX
+          components={getMDXComponents({
+            a: createRelativeLink(source, page),
+          })}
+        />
+      </DocsBody>
+    </DocsPage>
+  );
+}
+
+export function getDocPageMetadata(page: DocPageData): Metadata {
+  return {
+    title: page.data.title,
+    description: page.data.description,
+  };
+}
@@ -0,0 +1,55 @@
+import type { BaseLayoutProps } from 'fumadocs-ui/layouts/shared';
+import { appName, gitConfig } from './shared';
+import { ArrowUpRight } from 'lucide-react';
+
+const githubUrl = `https://github.com/${gitConfig.user}/${gitConfig.repo}`;
+const qqUrl = 'https://qm.qq.com/q/DFnKzZ807u';
+
+export function baseOptions(): BaseLayoutProps {
+  return {
+    nav: {
+      title: (
+        <span className="inline-flex items-center gap-2 font-semibold">
+          <img src="/logo.svg" alt={appName} className="h-6 w-6" />
+          <span>{appName}</span>
+        </span>
+      ),
+    },
+    links: [
+      {
+        text: '文档导航',
+        url: '/docs/overview/quick-start',
+        on: 'nav',
+      },
+      {
+        text: (
+          <span className="inline-flex items-center gap-1.5">
+            <span>在线体验</span>
+            <ArrowUpRight className="size-4" />
+          </span>
+        ),
+        url: 'https://canvas.best/',
+        external: true,
+        on: 'nav',
+      },
+      {
+        type: 'icon',
+        text: 'GitHub',
+        label: 'GitHub',
+        url: githubUrl,
+        external: true,
+        on: 'menu',
+        icon: <img src="/github.svg" alt="" className="size-4" />,
+      },
+      {
+        type: 'icon',
+        text: 'QQ',
+        label: 'QQ',
+        url: qqUrl,
+        external: true,
+        on: 'menu',
+        icon: <img src="/qq.svg" alt="" className="size-4" />,
+      },
+    ],
+  };
+}
--- a/Show More
+++ b/Show More
				`@@ -0,0 +1 @@`
				<svg fill="currentColor" fill-rule="evenodd" height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Github</title><path d="M12 0c6.63 0 12 5.276 12 11.79-.001 5.067-3.29 9.567-8.175 11.187-.6.118-.825-.25-.825-.56 0-.398.015-1.665.015-3.242 0-1.105-.375-1.813-.81-2.181 2.67-.295 5.475-1.297 5.475-5.822 0-1.297-.465-2.344-1.23-3.169.12-.295.54-1.503-.12-3.125 0 0-1.005-.324-3.3 1.209a11.32 11.32 0 00-3-.398c-1.02 0-2.04.133-3 .398-2.295-1.518-3.3-1.209-3.3-1.209-.66 1.622-.24 2.83-.12 3.125-.765.825-1.23 1.887-1.23 3.169 0 4.51 2.79 5.527 5.46 5.822-.345.294-.66.81-.765 1.577-.69.31-2.415.81-3.495-.973-.225-.354-.9-1.223-1.845-1.209-1.005.015-.405.56.015.781.51.28 1.095 1.327 1.23 1.666.24.663 1.02 1.93 4.035 1.385 0 .988.015 1.916.015 2.196 0 .31-.225.664-.825.56C3.303 21.374-.003 16.867 0 11.791 0 5.276 5.37 0 12 0z"></path></svg>
				`@@ -0,0 +1 @@`
				<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1780302626117" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1702" xmlns:xlink="http://www.w3.org/1999/xlink" width="200" height="200"><path d="M824.8 613.2c-16-51.4-34.4-94.6-62.7-165.3C766.5 262.2 689.3 112 511.5 112 331.7 112 256.2 265.2 261 447.9c-28.4 70.8-46.7 113.7-62.7 165.3-34 109.5-23 154.8-14.6 155.8 18 2.2 70.1-82.4 70.1-82.4 0 49 25.2 112.9 79.8 159-26.4 8.1-85.7 29.9-71.6 53.8 11.4 19.3 196.2 12.3 249.5 6.3 53.3 6 238.1 13 249.5-6.3 14.1-23.8-45.3-45.7-71.6-53.8 54.6-46.2 79.8-110.1 79.8-159 0 0 52.1 84.6 70.1 82.4 8.5-1.1 19.5-46.4-14.5-155.8z" p-id="1703"></path></svg>
				`@@ -0,0 +1 @@`
				`export { twMerge as cn } from 'tailwind-merge';`