feat(prompts): unify sources and add personal library

# Conflicts:
#	CHANGELOG.md

.agents/plugins/marketplace.json

@@ -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"
+    }
+  ]
+}

.dockerignore

@@ -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

.env.example

@@ -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

.github/workflows/docker-image.yml

@@ -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[@]}"

.github/workflows/docs-docker-image.yml

@@ -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[@]}"

.github/workflows/github-pages.yml

@@ -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

.github/workflows/publish-canvas-agent.yml

@@ -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."

.github/workflows/publish-plugins.yml

@@ -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

.gitignore

@@ -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

AGENTS.md

@@ -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 +50,23 @@
 - 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。
+- 左侧画布面板等列表里的节点/元素缩略图容器，非图片类型（文本、配置、视频、音频等）不要使用 `theme.node.fill`（`#e7e5df`/`#292524`）这类灰色背景，图标直接无背景展示，尽量不要给多余底色，保持干净。
+- 画布内的操作按钮（如面板里的「添加」「导出」「选择」等）默认用扁平无底色样式：透明背景、仅 `hover:bg-black/5 dark:hover:bg-white/10` 轻微反馈，靠图标+文字表达，不要用 `theme.toolbar.activeBg`（`#e7e5df`/`#3a3631`）或 `theme.node.fill` 之类的灰色作为按钮填充底色。灰色 `activeBg` 只允许用于「选中态」等需要表达状态的高亮，不要当普通装饰底色。
 - 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

CHANGELOG.md

@@ -2,6 +2,172 @@
 
 ## Unreleased
 
++ [新增] 提示词来源新增 Banana Prompt Quicker，并支持添加自定义标准 JSON 来源。
++ [新增] 提示词中心新增「我的提示词」，支持本地管理、从公共库保存，并可在画布提示词库中直接使用。
++ [新增] Agent 新增统一生成任务状态查询，支持查看画布、生图工作台和视频工作台任务进度。
++ [调整] 内置提示词来源改为读取 Image Prompts 统一 JSON 数据，不再由画布端分别解析。
++ [调整] 提示词来源配置保留卡片式交互，并展示来源数量、同步状态和上次成功时间。
++ [优化] 提示词来源支持独立缓存和更新，更新失败时保留上一次成功内容。
++ [优化] Agent 对话区分用户与 AI 消息，并优化会话切换和回到最新消息的交互。
++ [优化] 画布生成完成后保留提示词输入，并改善提示词库和资产面板的交互性能。
++ [修复] 本地 Agent 完善多标签页请求隔离、结果归属、焦点回退和 Codex 会话状态同步。
++ [修复] 本地 Agent 上传的图片附件可正确创建画布图片节点并连接生成流程。
++ [修复] 画布提示词库支持跨来源搜索，插入节点时保留提示词标题。
+
+## v0.9.0 - 2026-07-17
+
++ [新增] 左侧面板「资产」Tab 支持上传添加图片/视频资产、卡片悬停移除资产。
++ [新增] 左侧画布面板支持拖拽调整宽度、展开/收起(带动画),顶栏菜单左侧新增面板开关按钮。
++ [新增] 顶栏菜单新增「导出当前画布」,导出为包含全部资源的压缩包。
++ [新增] 左侧画布元素列表支持多选并批量导出选中元素为压缩包。
++ [新增] 可选的网站统计分析:支持 Google Analytics 4 与百度统计。
++ [调整] 画布节点名称默认不再显示,仅在选中/悬停/编辑时出现,画布更简洁。
++ [优化] 左侧面板「画布/资产」切换改为带滑动下划线的动画,移除非图片元素图标的灰色底色。
++ [优化] 画布节点提示词面板 `@` 引用图片时,输入框内直接显示真实缩略图。
++ [优化] 移除画布节点右上角的「图片1/文本1」资源角标,引用改在对话面板 `@` 直接选取。
++ [修复] 连接本地 Codex Agent 后,拖拽画布节点边框缩放等高频编辑导致页面崩溃。
+
+## 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。
++ [优化] 画布节点输入区域移除灰色底色与边框、美化样式。
++ [修复] 画布节点提示词输入框补上悬停文本光标。
+
+## 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。
++ [新增] 新增定义拉取GitHub提示词源功能。
++ [新增] 新增awesome-gpt-image2-prompts提示词来源。
++ [优化] 优化模型下拉选择样式、优化生图编辑设置
+
+## v0.0.6 - 2026-05-22
+
 + [新增] 管理后台支持配置模型渠道，前端当前无需鉴权即可直接使用后端渠道能力。
 + [优化] 统一整理后端错误提示、AI 代理、图片节点生成与重试、参考图缺失处理等细节。
 + [优化] 后端模型代理路径调整为 OpenAI 风格。

CLA.md

@@ -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`.

Dockerfile

@@ -1,41 +1,20 @@
-# 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
+COPY web/docker-entrypoint.sh /docker-entrypoint.d/40-runtime-config.sh
+RUN chmod +x /docker-entrypoint.d/40-runtime-config.sh
 
 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"]

README.md

@@ -4,52 +4,73 @@
 
 <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。
 - 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。
+- 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，并提供 TypeScript SDK 自行开发画布节点插件。
+- 自定义接口调用：可自定义生图 / 视频接口的调用方式，灵活适配各类中转站与自建服务。
+- 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`。
+
+如果默认的OpenAI接口调用方式与您的API不同，可自定义生图/视频脚本调用。
 
 ## 效果展示
 
@@ -66,18 +87,23 @@ 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
+
+本项目长期开放广告赞助合作，欢迎品牌 / 产品投放，你的支持是持续更新的动力！
+
+有广告赞助意向请通过上方联系方式沟通。
 
 ## 社区支持
 
@@ -89,7 +115,6 @@ 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">

SECURITY.md

@@ -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.
+

VERSION

@@ -1 +1 @@
-v0.0.6
+v0.9.0

canvas-agent/.gitignore

@@ -0,0 +1,2 @@
+dist
+node_modules

canvas-agent/README.md

@@ -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。

canvas-agent/bun.lock

@@ -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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+
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+
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+
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+    "require-from-string": ["require-from-string@2.0.2", "https://registry.npmmirror.com/require-from-string/-/require-from-string-2.0.2.tgz", {}, "sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw=="],
+
+    "router": ["router@2.2.0", "https://registry.npmmirror.com/router/-/router-2.2.0.tgz", { "dependencies": { "debug": "^4.4.0", "depd": "^2.0.0", "is-promise": "^4.0.0", "parseurl": "^1.3.3", "path-to-regexp": "^8.0.0" } }, "sha512-nLTrUKm2UyiL7rlhapu/Zl45FwNgkZGaCpZbIHajDYgwlJCOzLSk+cIPAnsEqV955GjILJnKbdQC1nVPz+gAYQ=="],
+
+    "safer-buffer": ["safer-buffer@2.1.2", "https://registry.npmmirror.com/safer-buffer/-/safer-buffer-2.1.2.tgz", {}, "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="],
+
+    "send": ["send@1.2.1", "https://registry.npmmirror.com/send/-/send-1.2.1.tgz", { "dependencies": { "debug": "^4.4.3", "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "etag": "^1.8.1", "fresh": "^2.0.0", "http-errors": "^2.0.1", "mime-types": "^3.0.2", "ms": "^2.1.3", "on-finished": "^2.4.1", "range-parser": "^1.2.1", "statuses": "^2.0.2" } }, "sha512-1gnZf7DFcoIcajTjTwjwuDjzuz4PPcY2StKPlsGAQ1+YH20IRVrBaXSWmdjowTJ6u8Rc01PoYOGHXfP1mYcZNQ=="],
+
+    "serve-static": ["serve-static@2.2.1", "https://registry.npmmirror.com/serve-static/-/serve-static-2.2.1.tgz", { "dependencies": { "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "parseurl": "^1.3.3", "send": "^1.2.0" } }, "sha512-xRXBn0pPqQTVQiC8wyQrKs2MOlX24zQ0POGaj0kultvoOCstBQM5yvOhAVSUwOMjQtTvsPWoNCHfPGwaaQJhTw=="],
+
+    "setprototypeof": ["setprototypeof@1.2.0", "https://registry.npmmirror.com/setprototypeof/-/setprototypeof-1.2.0.tgz", {}, "sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw=="],
+
+    "shebang-command": ["shebang-command@2.0.0", "https://registry.npmmirror.com/shebang-command/-/shebang-command-2.0.0.tgz", { "dependencies": { "shebang-regex": "^3.0.0" } }, "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA=="],
+
+    "shebang-regex": ["shebang-regex@3.0.0", "https://registry.npmmirror.com/shebang-regex/-/shebang-regex-3.0.0.tgz", {}, "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A=="],
+
+    "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=="],
+  }
+}

canvas-agent/package.json

@@ -0,0 +1,39 @@
+{
+  "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",
+    "test": "tsx --test src/canvas-session.test.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"
+  }
+}

canvas-agent/src/agents.ts

@@ -0,0 +1,549 @@
+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; appEmit?: AgentEmit; onStart?: () => void; onThread?: (threadId: string) => void; onTurn?: (turnId: string) => void; onFinish?: () => void };
+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 codexAppStart: Promise<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(threadId?: string) {
+    if (!codexApp || (threadId && threadId !== codexThreadId)) return false;
+    return codexApp.interruptCurrentTurn();
+}
+
+async function runCodexTurnNow(prompt: string, emit: AgentEmit, attachments: AgentAttachment[], options: CodexRunOptions) {
+    let files: string[] = [];
+    try {
+        options.onStart?.();
+        files = await writeAttachmentFiles(attachments);
+        const app = await getCodexApp(options.appEmit || emit);
+        let threadId = await ensureCodexThread(app, options, emit);
+        options.onThread?.(threadId);
+        try {
+            await app.startTurn(threadId, prompt, files, options.onTurn);
+        } catch (error) {
+            if (!isRecoverableThreadError(error)) throw error;
+            emit("agent_log", { text: `Codex thread unavailable, starting a new thread: ${errorMessage(error)}` });
+            codexThreadId = "";
+            threadId = await ensureCodexThread(app, { cwd: options.cwd }, emit);
+            options.onThread?.(threadId);
+            await app.startTurn(threadId, prompt, files, options.onTurn);
+        }
+    } catch (error) {
+        emit("agent_error", { message: errorMessage(error) });
+    } finally {
+        options.onFinish?.();
+        await Promise.all(files.map((file) => fs.unlink(file).catch(() => undefined)));
+    }
+}
+
+export async function startCodexThread(emit: AgentEmit, cwd?: string) {
+    const app = await getCodexApp(emit);
+    const thread = await app.startThread(cwd);
+    codexThreadId = String(field(thread, "id") || "");
+    return thread;
+}
+
+export async function resumeCodexThread(emit: AgentEmit, threadId: string, cwd?: string) {
+    const app = await getCodexApp(emit);
+    await loadCodexThread(emit, threadId, cwd, false);
+    const thread = await app.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 }) {
+    const app = await getCodexApp(emit);
+    const result = await app.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) {
+    const app = await getCodexApp(emit);
+    await loadCodexThread(emit, threadId, cwd, false);
+    await app.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;
+}
+
+export 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[], onTurn?: (turnId: string) => void) {
+        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");
+        onTurn?.(turnId);
+        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, ...codexEventScope(params) });
+            this.deltaCount = 0;
+            this.emit("agent_done", { agent: "codex", usage: event.usage, ...codexEventScope(params) });
+        }
+    }
+
+    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 }, ...codexEventScope(params) });
+    }
+
+    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 {
+    const scope = codexEventScope(params);
+    if (method === "thread/started") return { type: "thread.started", ...scope };
+    if (method === "turn/started") return { type: "turn.started", ...scope };
+    if (method === "turn/completed") return { type: "turn.completed", usage: null, ...scope };
+    if (method === "item/started") return { type: "item.started", item: normalizeItem(field(params, "item")), ...scope };
+    if (method === "item/completed") return { type: "item.completed", item: normalizeItem(field(params, "item")), ...scope };
+    if (method === "error") return { type: "error", message: field(params, "message"), ...scope };
+    return null;
+}
+
+function codexEventScope(params: Json) {
+    const threadId = String(field(params, "threadId") || field(field(params, "thread"), "id") || "");
+    const turnId = String(field(params, "turnId") || field(field(params, "turn"), "id") || "");
+    return { ...(threadId ? { thread_id: threadId } : {}), ...(turnId ? { turn_id: turnId } : {}) };
+}
+
+async function loadCodexThread(emit: AgentEmit, threadId: string, cwd: string | undefined, includeTurns: boolean) {
+    const app = await getCodexApp(emit);
+    const result = await app.readThread(threadId, includeTurns);
+    const thread = field(result, "thread") || {};
+    assertThreadWorkspace(thread, cwd);
+    return thread;
+}
+
+async function getCodexApp(emit: AgentEmit) {
+    if (codexApp) return codexApp;
+    codexAppStart ||= CodexAppClient.start(emit);
+    try {
+        codexApp = await codexAppStart;
+        return codexApp;
+    } finally {
+        codexAppStart = null;
+    }
+}
+
+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_attachment_nodes") return "添加附件图片";
+    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);
+}

canvas-agent/src/canvas-session.test.ts

@@ -0,0 +1,289 @@
+import { EventEmitter } from "node:events";
+import type { ServerResponse } from "node:http";
+import assert from "node:assert/strict";
+import test from "node:test";
+
+import { CanvasSession } from "./canvas-session.js";
+
+test("MCP 读取当前激活网页的画布", async (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const second = connect(session, "second");
+    t.after(() => {
+        first.close();
+        second.close();
+    });
+    session.updateState(snapshot("canvas-first"), "first");
+    session.updateState(snapshot("canvas-second"), "second");
+
+    session.activateClient("first");
+    assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-first");
+
+    session.activateClient("second");
+    assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-second");
+});
+
+test("画布写操作只发送给当前激活网页", async (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const second = connect(session, "second");
+    t.after(() => {
+        first.close();
+        second.close();
+    });
+    session.updateState(snapshot("canvas-first"), "first");
+    session.updateState(snapshot("canvas-second"), "second");
+    session.activateClient("second");
+
+    const result = session.callTool("canvas_create_text_node", { text: "只写入第二个画布" });
+    const call = second.event("tool_call");
+    assert.equal(first.event("tool_call"), undefined);
+    assert.equal(field(call, "name"), "canvas_apply_ops");
+    session.resolveResult("second", { requestId: String(field(call, "requestId")), result: { ok: true } });
+    assert.deepEqual(await result, { ok: true });
+});
+
+test("当前 turn 的图片附件可在发起标签页画布创建图片节点", async (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    t.after(() => first.close());
+    const dataUrl = "data:image/png;base64,aW1hZ2U=";
+    session.setTurnAttachments("first", [{ id: "attachment-1", name: "商品.png", type: "image/png", size: 5, width: 1200, height: 600, dataUrl }]);
+    session.bindClient("first");
+
+    const result = session.callTool("canvas_create_attachment_nodes", { attachmentIds: ["attachment-1"], x: 100, y: 200 });
+    const call = first.event("tool_call");
+    const input = field(call, "input") as Record<string, unknown>;
+    const nodes = input.nodes as Array<Record<string, unknown>>;
+    assert.equal(field(call, "name"), "canvas_create_attachment_nodes");
+    assert.equal(nodes.length, 1);
+    assert.equal(nodes[0].attachmentId, "attachment-1");
+    assert.equal(nodes[0].title, "商品.png");
+    assert.deepEqual(nodes[0].position, { x: 100, y: 200 });
+    assert.equal(nodes[0].width, 640);
+    assert.equal(nodes[0].height, 320);
+    assert.equal("dataUrl" in nodes[0], false);
+    assert.equal(session.getTurnAttachment("first", "attachment-1").dataUrl, dataUrl);
+
+    session.resolveResult("first", { requestId: String(field(call, "requestId")), result: { ok: true } });
+    const created = (await result) as { nodes: Array<{ id: string; attachmentId: string; title: string }> };
+    assert.equal(created.nodes[0].id, nodes[0].id);
+    assert.equal(created.nodes[0].attachmentId, "attachment-1");
+    session.clearTurnAttachments("first");
+    assert.throws(() => session.getTurnAttachment("first", "attachment-1"), /找不到/);
+});
+
+test("图片附件只允许发起 turn 的标签页读取和落入画布", async (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const second = connect(session, "second");
+    t.after(() => {
+        first.close();
+        second.close();
+    });
+    session.setTurnAttachments("first", [{ id: "attachment-1", name: "商品.png", type: "image/png", dataUrl: "data:image/png;base64,aW1hZ2U=" }]);
+    session.bindClient("second");
+
+    await assert.rejects(session.callTool("canvas_create_attachment_nodes", { attachmentIds: ["attachment-1"] }), /发起标签页/);
+    assert.throws(() => session.getTurnAttachment("second", "attachment-1"), /发起标签页/);
+    assert.equal(first.event("tool_call"), undefined);
+    assert.equal(second.event("tool_call"), undefined);
+});
+
+test("tool result is accepted only from the request client", async (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const second = connect(session, "second");
+    t.after(() => {
+        first.close();
+        second.close();
+    });
+    session.activateClient("first");
+
+    const result = session.callTool("canvas_create_text_node", { text: "first only" });
+    const call = first.event("tool_call");
+    const requestId = String(field(call, "requestId"));
+
+    assert.equal(session.resolveResult("second", { requestId, result: { client: "second" } }), false);
+    assert.equal(session.resolveResult("first", { requestId, result: { client: "first" } }), true);
+    assert.deepEqual(await result, { client: "first" });
+});
+
+test("生成状态查询由当前激活网页返回", async (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const second = connect(session, "second");
+    t.after(() => {
+        first.close();
+        second.close();
+    });
+    session.activateClient("second");
+
+    const result = session.callTool("generation_get_status", { scope: "all" });
+    const call = second.event("tool_call");
+    assert.equal(first.event("tool_call"), undefined);
+    assert.equal(field(call, "name"), "generation_get_status");
+    session.resolveResult("second", { requestId: String(field(call, "requestId")), result: { total: 1, tasks: [{ id: "image-1", status: "running" }] } });
+    assert.deepEqual(await result, { total: 1, tasks: [{ id: "image-1", status: "running" }] });
+});
+
+test("活动网页关闭后回退到仍连接的画布", async (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const second = connect(session, "second");
+    t.after(() => {
+        first.close();
+        second.close();
+    });
+    session.updateState(snapshot("canvas-first"), "first");
+    session.updateState(snapshot("canvas-second"), "second");
+    session.activateClient("second");
+    second.close();
+
+    assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-first");
+});
+
+test("closing the active client falls back to the most recently focused client", async (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const second = connect(session, "second");
+    const third = connect(session, "third");
+    t.after(() => {
+        first.close();
+        second.close();
+        third.close();
+    });
+    session.updateState(snapshot("canvas-first"), "first");
+    session.updateState(snapshot("canvas-second"), "second");
+    session.updateState(snapshot("canvas-third"), "third");
+    session.activateClient("third");
+    session.activateClient("second");
+    second.close();
+
+    assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-third");
+});
+
+test("closing a client rejects its pending tool requests", async () => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const result = session.callTool("canvas_create_text_node", { text: "pending" });
+    const call = first.event("tool_call");
+    const requestId = String(field(call, "requestId"));
+    first.close();
+
+    const outcome = await Promise.race([
+        result.then(() => "resolved", (error) => error instanceof Error ? error.message : String(error)),
+        new Promise<string>((resolve) => setTimeout(() => resolve("pending"), 20)),
+    ]);
+    if (outcome === "pending") session.resolveResult("first", { requestId, result: null });
+    assert.match(outcome, /断开/);
+});
+
+test("shared thread events are broadcast with the active thread id", (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const second = connect(session, "second");
+    t.after(() => {
+        first.close();
+        second.close();
+    });
+
+    session.emitThread("workspace_changed", "thread-2", { activeThreadId: "thread-2" });
+
+    assert.deepEqual(first.event("workspace_changed"), { activeThreadId: "thread-2", threadId: "thread-2" });
+    assert.deepEqual(second.event("workspace_changed"), { activeThreadId: "thread-2", threadId: "thread-2" });
+});
+
+test("new clients receive the current Codex state and later updates", (t) => {
+    const session = new CanvasSession();
+    session.setCodexState({ busy: true, threadId: "thread-2", turnId: "turn-1" });
+    const client = connect(session, "first");
+    t.after(() => client.close());
+
+    assert.deepEqual(field(client.event("hello"), "codex"), { busy: true, threadId: "thread-2", turnId: "turn-1" });
+
+    session.setCodexState({ busy: false });
+    assert.deepEqual(client.event("codex_state"), { busy: false, threadId: "thread-2", turnId: "turn-1" });
+});
+
+test("a bound client remains the tool target while focus changes", async (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const second = connect(session, "second");
+    t.after(() => {
+        first.close();
+        second.close();
+    });
+    session.updateState(snapshot("canvas-first"), "first");
+    session.updateState(snapshot("canvas-second"), "second");
+    session.bindClient("first");
+    session.activateClient("second");
+
+    assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-first");
+    const result = session.callTool("canvas_create_text_node", { text: "bound" });
+    const call = first.event("tool_call");
+    assert.equal(second.event("tool_call"), undefined);
+    session.resolveResult("first", { requestId: String(field(call, "requestId")), result: { ok: true } });
+    assert.deepEqual(await result, { ok: true });
+
+    session.releaseClient("first");
+    assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-second");
+});
+
+test("closing the bound client falls back to the active client", async (t) => {
+    const session = new CanvasSession();
+    const first = connect(session, "first");
+    const second = connect(session, "second");
+    t.after(() => {
+        first.close();
+        second.close();
+    });
+    session.updateState(snapshot("canvas-first"), "first");
+    session.updateState(snapshot("canvas-second"), "second");
+    session.bindClient("first");
+    session.activateClient("second");
+    first.close();
+
+    assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-second");
+    const result = session.callTool("canvas_create_text_node", { text: "fallback" });
+    const call = second.event("tool_call");
+    session.resolveResult("second", { requestId: String(field(call, "requestId")), result: { ok: true } });
+    assert.deepEqual(await result, { ok: true });
+});
+
+function connect(session: CanvasSession, clientId: string) {
+    const response = new FakeSseResponse();
+    session.openEvents(new URL(`http://127.0.0.1/events?clientId=${clientId}`), response as unknown as ServerResponse);
+    return response;
+}
+
+function snapshot(projectId: string) {
+    return { projectId, title: projectId, nodes: [], connections: [], selectedNodeIds: [], viewport: { x: 0, y: 0, k: 1 } };
+}
+
+function field(value: unknown, key: string) {
+    return value && typeof value === "object" ? (value as Record<string, unknown>)[key] : undefined;
+}
+
+class FakeSseResponse extends EventEmitter {
+    private chunks: string[] = [];
+
+    writeHead() {
+        return this;
+    }
+
+    write(chunk: string) {
+        this.chunks.push(chunk);
+        return true;
+    }
+
+    event(type: string) {
+        const chunk = this.chunks.find((item) => item.startsWith(`event: ${type}\n`));
+        const data = chunk?.split("\n").find((line) => line.startsWith("data: "))?.slice(6);
+        return data ? (JSON.parse(data) as unknown) : undefined;
+    }
+
+    close() {
+        this.emit("close");
+    }
+}

canvas-agent/src/canvas-session.ts

@@ -0,0 +1,400 @@
+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 { AgentAttachment, CanvasNode, CanvasNodeType, CanvasSnapshot } from "./types.js";
+
+type PendingRequest = { clientId: string; resolve: (value: unknown) => void; reject: (error: Error) => void };
+type TurnAttachment = { clientId: string; id: string; name: string; type: string; size: number; width: number; height: number; dataUrl: string };
+export type CodexState = { busy: boolean; threadId: string; turnId: string };
+
+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",
+    "generation_get_status",
+]);
+
+export class CanvasSession {
+    private clients = new Map<string, ServerResponse>();
+    private clientFocusOrder = new Map<string, number>();
+    private pending = new Map<string, PendingRequest>();
+    private canvasStates = new Map<string, CanvasSnapshot>();
+    private turnAttachments = new Map<string, TurnAttachment>();
+    private activeClientId = "";
+    private boundClientId = "";
+    private focusSequence = 0;
+    private codexState: CodexState = { busy: false, threadId: "", turnId: "" };
+
+    private get canvasState() {
+        return this.canvasStates.get(this.targetClientId) || null;
+    }
+
+    private get targetClientId() {
+        return this.boundClientId || this.activeClientId;
+    }
+
+    health() {
+        return { ok: true, hasCanvas: Boolean(this.canvasState), clients: this.clients.size, codexBusy: this.codexState.busy };
+    }
+
+    get codexBusy() {
+        return this.codexState.busy;
+    }
+
+    setCodexState(patch: Partial<CodexState>) {
+        this.codexState = { ...this.codexState, ...patch };
+        this.emitAll("codex_state", this.codexState);
+    }
+
+    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);
+            if (!this.clientFocusOrder.has(clientId)) this.clientFocusOrder.set(clientId, 0);
+            if (!this.activeClientId) {
+                this.activeClientId = clientId;
+                this.clientFocusOrder.set(clientId, ++this.focusSequence);
+            }
+        }
+        sendEvent(res, "hello", { ok: true, clientId, codex: this.codexState });
+        const timer = setInterval(() => sendEvent(res, "ping", { time: Date.now() }), 15000);
+        res.on("close", () => {
+            clearInterval(timer);
+            if (statusOnly || this.clients.get(clientId) !== res) return;
+            this.clients.delete(clientId);
+            this.clientFocusOrder.delete(clientId);
+            this.canvasStates.delete(clientId);
+            if (this.boundClientId === clientId) this.boundClientId = "";
+            this.pending.forEach((item, requestId) => {
+                if (item.clientId !== clientId) return;
+                this.pending.delete(requestId);
+                item.reject(new Error("请求页面已断开"));
+            });
+            if (this.activeClientId === clientId) this.activeClientId = [...this.clients.keys()].sort((a, b) => (this.clientFocusOrder.get(b) || 0) - (this.clientFocusOrder.get(a) || 0))[0] || "";
+        });
+    }
+
+    updateState(body: unknown, clientId?: string) {
+        const targetClientId = clientId || this.activeClientId;
+        if (!targetClientId) return;
+        this.canvasStates.set(targetClientId, { ...((body && typeof body === "object" && !Array.isArray(body) ? body : {}) as Record<string, unknown>), clientId: targetClientId } as CanvasSnapshot);
+    }
+
+    activateClient(clientId: string) {
+        if (!this.clients.has(clientId)) throw new Error("当前网页未连接");
+        this.activeClientId = clientId;
+        this.clientFocusOrder.set(clientId, ++this.focusSequence);
+    }
+
+    bindClient(clientId: string) {
+        if (!this.clients.has(clientId)) throw new Error("当前网页未连接");
+        this.boundClientId = clientId;
+    }
+
+    releaseClient(clientId: string) {
+        if (this.boundClientId === clientId) this.boundClientId = "";
+    }
+
+    setTurnAttachments(clientId: string, attachments: AgentAttachment[]) {
+        this.turnAttachments.clear();
+        return attachments.flatMap((item, index) => {
+            if (!item.dataUrl?.startsWith("data:image/")) return [];
+            const id = item.id?.trim() || `attachment-${crypto.randomUUID()}`;
+            const attachment: TurnAttachment = {
+                clientId,
+                id,
+                name: item.name?.trim() || `图片 ${index + 1}`,
+                type: item.type?.startsWith("image/") ? item.type : item.dataUrl.match(/^data:([^;]+)/)?.[1] || "image/png",
+                size: positiveNumber(item.size, 0),
+                width: positiveNumber(item.width, 1024),
+                height: positiveNumber(item.height, 1024),
+                dataUrl: item.dataUrl,
+            };
+            this.turnAttachments.set(id, attachment);
+            return [{ id, name: attachment.name, type: attachment.type, size: attachment.size, width: attachment.width, height: attachment.height }];
+        });
+    }
+
+    clearTurnAttachments(clientId?: string) {
+        this.turnAttachments.forEach((item, id) => {
+            if (!clientId || item.clientId === clientId) this.turnAttachments.delete(id);
+        });
+    }
+
+    getTurnAttachment(clientId: string, attachmentId: string) {
+        const attachment = this.turnAttachments.get(attachmentId);
+        if (!attachment) throw new Error(`找不到本轮图片附件：${attachmentId}`);
+        if (attachment.clientId !== clientId) throw new Error("图片附件不属于当前 turn 的发起标签页");
+        return attachment;
+    }
+
+    resolveResult(clientId: string, body: { requestId?: string; error?: string; result?: unknown }) {
+        const item = body.requestId ? this.pending.get(body.requestId) : null;
+        if (!item || !body.requestId || item.clientId !== clientId) return false;
+        this.pending.delete(body.requestId);
+        body.error ? item.reject(new Error(body.error)) : item.resolve(body.result);
+        return true;
+    }
+
+    emitAll(type: string, payload: unknown) {
+        this.clients.forEach((client) => sendEvent(client, type, payload));
+    }
+
+    emitThread(type: string, threadId: string, payload: Record<string, unknown> = {}) {
+        this.emitAll(type, { ...payload, threadId });
+    }
+
+    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_attachment_nodes") return await this.createAttachmentNodes(input as { attachmentIds: string[]; x?: number; y?: number; gap?: number; direction?: "row" | "column" });
+        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：${tool}`);
+        if (!this.clients.size) throw new Error("当前没有已连接画布");
+        return await this.requestCanvasTool(tool, input);
+    }
+
+    private async createAttachmentNodes(input: { attachmentIds: string[]; x?: number; y?: number; gap?: number; direction?: "row" | "column" }) {
+        const clientId = this.targetClientId;
+        if (!this.clients.has(clientId)) throw new Error("当前没有已连接画布");
+        const attachments = input.attachmentIds.map((id) => this.getTurnAttachment(clientId, id));
+        const x = Number(input.x ?? nextCanvasX(this.canvasState));
+        const y = Number(input.y ?? 0);
+        const gap = Number(input.gap ?? 40);
+        const direction = input.direction || "row";
+        let offset = 0;
+        const nodes = attachments.map((attachment) => {
+            const size = fitAttachmentNodeSize(attachment.width, attachment.height);
+            const node = {
+                id: `image-${crypto.randomUUID()}`,
+                attachmentId: attachment.id,
+                title: attachment.name,
+                position: { x: direction === "row" ? x + offset : x, y: direction === "column" ? y + offset : y },
+                width: size.width,
+                height: size.height,
+            };
+            offset += (direction === "row" ? size.width : size.height) + gap;
+            return node;
+        });
+        await this.requestCanvasTool("canvas_create_attachment_nodes", { nodes });
+        return { nodes: nodes.map(({ id, attachmentId, title }) => ({ id, attachmentId, title })) };
+    }
+
+    private async requestCanvasTool(name: ToolName, input: Record<string, unknown>) {
+        const requestId = crypto.randomUUID();
+        const clientId = this.targetClientId;
+        const client = this.clients.get(clientId);
+        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, { clientId, 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 !== ""));
+}
+
+function positiveNumber(value: unknown, fallback: number) {
+    const number = Number(value);
+    return Number.isFinite(number) && number > 0 ? number : fallback;
+}
+
+function fitAttachmentNodeSize(width: number, height: number) {
+    const scale = Math.min(1, 640 / width, 640 / height);
+    return { width: width * scale, height: height * scale };
+}

canvas-agent/src/config.ts

@@ -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。本轮若有用户上传的图片附件，会同时给出 attachmentId；用户要求把附件放入画布或作为生成参考图时，必须先用 canvas_create_attachment_nodes 创建真实图片节点，再把返回的节点 ID 传给 canvas_create_generation_flow.referenceNodeIds，不要创建空图片占位节点。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";
+    }
+}

canvas-agent/src/http-server.ts

@@ -0,0 +1,223 @@
+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, isRecoverableThreadError, 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) => {
+        const data = payload && typeof payload === "object" && !Array.isArray(payload) ? payload as Record<string, unknown> : { value: payload };
+        const threadId = String(data.threadId || data.thread_id || ensureSiteWorkspace(config).activeThreadId || "");
+        threadId ? session.emitThread(type, threadId, data) : session.emitAll(type, data);
+    };
+    const setActiveThread = (activeThreadId: string, payload: Record<string, unknown> = {}) => {
+        const workspace = updateSiteWorkspace(config, { activeThreadId: activeThreadId || undefined });
+        session.emitThread("workspace_changed", activeThreadId, { ...payload, activeThreadId });
+        return workspace;
+    };
+    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/activate", (req, res) => {
+        session.activateClient(String(req.query.clientId || ""));
+        res.json({ ok: true });
+    });
+    app.post("/canvas/result", (req, res) => {
+        const ok = session.resolveResult(String(req.query.clientId || ""), req.body);
+        res.status(ok ? 200 : 409).json({ ok });
+    });
+    app.get("/agent/attachments/:attachmentId", route(async (req, res) => {
+        const attachment = session.getTurnAttachment(String(req.query.clientId || ""), routeParam(req.params.attachmentId));
+        const data = attachment.dataUrl.split(",", 2)[1];
+        if (!data) throw new Error("图片附件内容无效");
+        res.setHeader("Cache-Control", "no-store");
+        res.type(attachment.type).send(Buffer.from(data, "base64"));
+    }));
+    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) => {
+        if (session.codexBusy) return res.status(409).json({ ok: false, error: "Codex 正在运行，请等待当前任务完成" });
+        const workspace = ensureSiteWorkspace(config);
+        const thread = await startCodexThread(emit, workspace.workspacePath);
+        const activeThreadId = String((thread as Record<string, unknown>).id || "");
+        const nextWorkspace = setActiveThread(activeThreadId, { emptyThread: true });
+        res.json({ ok: true, workspace: nextWorkspace, thread: summarizeCodexThread(thread), messages: [] });
+    }));
+    app.get("/agent/codex/threads/:threadId", route(async (req, res) => {
+        const workspace = ensureSiteWorkspace(config);
+        const threadId = routeParam(req.params.threadId);
+        try {
+            res.json({ ok: true, workspace, ...(await readCodexThread(emit, threadId, workspace.workspacePath)) });
+        } catch (error) {
+            if (workspace.activeThreadId !== threadId || !isRecoverableThreadError(error)) throw error;
+            res.json({ ok: true, workspace, thread: { id: threadId, preview: "", cwd: workspace.workspacePath }, messages: [] });
+        }
+    }));
+    app.post("/agent/codex/threads/:threadId/resume", route(async (req, res) => {
+        if (session.codexBusy) return res.status(409).json({ ok: false, error: "Codex 正在运行，请等待当前任务完成" });
+        const workspace = ensureSiteWorkspace(config);
+        const threadId = routeParam(req.params.threadId);
+        const result = await resumeCodexThread(emit, threadId, workspace.workspacePath);
+        const nextWorkspace = setActiveThread(threadId);
+        res.json({ ok: true, workspace: nextWorkspace, ...result });
+    }));
+    app.post("/agent/codex/threads/:threadId/delete", route(async (req, res) => {
+        if (session.codexBusy) return res.status(409).json({ ok: false, error: "Codex 正在运行，请等待当前任务完成" });
+        const workspace = ensureSiteWorkspace(config);
+        const threadId = routeParam(req.params.threadId);
+        await archiveCodexThread(emit, threadId, workspace.workspacePath);
+        setActiveThread(workspace.activeThreadId === threadId ? "" : workspace.activeThreadId || "");
+        res.json({ ok: true });
+    }));
+    app.post("/agent/codex/turn", route(async (req, res) => {
+        if (session.codexBusy) return res.status(409).json({ ok: false, error: "Codex 正在运行，请等待当前任务完成" });
+        const attachments = Array.isArray(req.body?.attachments) ? (req.body.attachments as AgentAttachment[]) : [];
+        const workspace = ensureSiteWorkspace(config);
+        const prompt = String(req.body?.prompt || "");
+        if (!prompt.trim()) return res.status(400).json({ ok: false, error: "请输入任务内容" });
+        const clientId = String(req.body?.clientId || "");
+        session.setCodexState({ busy: true, threadId: String(req.body?.threadId || workspace.activeThreadId || ""), turnId: "" });
+        try {
+            let threadId = String(req.body?.threadId || workspace.activeThreadId || "");
+            let turnId = "";
+            if (!threadId) {
+                const thread = await startCodexThread(emit, workspace.workspacePath);
+                threadId = String((thread as Record<string, unknown>).id || "");
+                setActiveThread(threadId, { emptyThread: true });
+            } else if (threadId !== workspace.activeThreadId) {
+                await verifyCodexThreadWorkspace(emit, threadId, workspace.workspacePath);
+                setActiveThread(threadId);
+            }
+            const attachmentRefs = session.setTurnAttachments(clientId, attachments);
+            const chatMessage = {
+                sourceClientId: clientId,
+                message: { id: String(req.body?.messageId || Date.now()), role: "user", text: String(req.body?.messageText || prompt || `发送了 ${attachments.length} 张图片`) },
+            };
+            let chatThreadId = "";
+            const turnEmit = (type: string, payload: unknown) => {
+                const data = payload && typeof payload === "object" && !Array.isArray(payload) ? payload as Record<string, unknown> : { value: payload };
+                session.emitThread(type, threadId, data);
+            };
+            void runCodexTurn(withAgentPrompt(withAttachmentContext(prompt, attachmentRefs)), turnEmit, attachments, {
+                threadId,
+                cwd: workspace.workspacePath,
+                appEmit: emit,
+                onStart: clientId ? () => session.bindClient(clientId) : undefined,
+                onThread: (actualThreadId) => {
+                    if (actualThreadId !== threadId) {
+                        threadId = actualThreadId;
+                        setActiveThread(threadId, { emptyThread: true });
+                    }
+                    session.setCodexState({ busy: true, threadId, turnId: "" });
+                    if (chatThreadId !== threadId) {
+                        chatThreadId = threadId;
+                        session.emitThread("chat_message", threadId, chatMessage);
+                    }
+                },
+                onTurn: (actualTurnId) => {
+                    turnId = actualTurnId;
+                    session.setCodexState({ busy: true, threadId, turnId });
+                },
+                onFinish: () => {
+                    session.clearTurnAttachments(clientId);
+                    if (clientId) session.releaseClient(clientId);
+                    session.setCodexState({ busy: false, threadId, turnId });
+                },
+            });
+            res.json({ ok: true, threadId });
+        } catch (error) {
+            session.setCodexState({ busy: false, threadId: String(req.body?.threadId || workspace.activeThreadId || ""), turnId: "" });
+            throw error;
+        }
+    }));
+    app.post("/agent/codex/interrupt", (req, res) => {
+        const ok = interruptCodexTurn(String(req.body?.threadId || ""));
+        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: ${config.token}`);
+        console.log("Codex MCP is not installed by this command.");
+        console.log("Optional MCP add: codex mcp add infinite-canvas -- npx -y @basketikun/canvas-agent mcp");
+        console.log("Remove manually added MCP: codex mcp remove infinite-canvas");
+    });
+}
+
+function route(handler: (req: Request, res: Response) => Promise<unknown>) {
+    return (req: Request, res: Response, next: NextFunction) => void handler(req, res).catch(next);
+}
+
+function routeParam(value: string | string[]) {
+    return Array.isArray(value) ? value[0] || "" : value;
+}
+
+function requestUrl(req: Request, config: CanvasAgentConfig) {
+    return new URL(req.originalUrl || req.url || "/", config.url);
+}
+
+function setCors(req: Request, res: Response, url: URL, config: CanvasAgentConfig) {
+    const origin = req.headers.origin;
+    res.setHeader("Access-Control-Allow-Origin", origin || "*");
+    res.setHeader("Access-Control-Allow-Headers", "content-type,x-canvas-agent-token");
+    res.setHeader("Access-Control-Allow-Methods", "GET,POST,OPTIONS");
+    res.setHeader("Access-Control-Allow-Private-Network", "true");
+    if (!origin || req.method === "OPTIONS" || url.pathname === "/health" || url.pathname === "/config") return true;
+    config.origins ||= [];
+    if (validToken(req, url, config.token) && !config.origins.includes(origin)) {
+        config.origins.push(origin);
+        saveConfig(config);
+    }
+    res.setHeader("Vary", "Origin");
+    return config.origins.includes(origin);
+}
+
+function validToken(req: Request, url: URL, token: string) {
+    const header = req.headers["x-canvas-agent-token"];
+    return url.searchParams.get("token") === token || header === token || (Array.isArray(header) && header.includes(token));
+}
+
+function withAttachmentContext(prompt: string, attachments: Array<{ id: string; name: string }>) {
+    if (!attachments.length) return prompt;
+    const list = attachments.map((item, index) => `${index + 1}. attachmentId=${item.id}, name=${JSON.stringify(item.name)}`).join("\n");
+    return `${prompt}\n\n本轮可用图片附件（顺序与图片输入一致）：\n${list}\n需要把附件放入画布或作为生成参考图时，先调用 canvas_create_attachment_nodes，再使用返回的画布节点 ID 创建生成流程。`;
+}

canvas-agent/src/index.ts

@@ -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();

canvas-agent/src/mcp-server.ts

@@ -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;
+}

canvas-agent/src/schemas.ts

@@ -0,0 +1,162 @@
+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_attachment_nodes",
+    "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",
+    "generation_get_status",
+    "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_attachment_nodes: z.object({ attachmentIds: z.array(z.string()).min(1), x: z.number().optional(), y: z.number().optional(), gap: z.number().optional(), direction: z.enum(["row", "column"]).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() }),
+    generation_get_status: z.object({ scope: z.enum(["all", "canvas", "image", "video"]).optional(), taskId: z.string().optional(), nodeIds: z.array(z.string()).optional(), limit: z.number().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_attachment_nodes: "把当前对话中用户上传的图片附件创建成真实画布图片节点。attachmentIds 使用本轮附件清单中的 ID；返回的节点 ID 可传给 canvas_create_generation_flow.referenceNodeIds 作为生成参考图。",
+    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。",
+    generation_get_status: "查询当前活动网页的生成任务状态。默认返回画布、生图工作台和视频工作台最近任务；可用 scope 过滤来源，用 taskId 查询工作台任务，用 nodeIds 查询画布节点。",
+    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，提交后返回 taskId，可用 generation_get_status 查询状态。",
+    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，提交后返回 taskId，可用 generation_get_status 查询状态。",
+    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。",
+};

canvas-agent/src/tools.ts

@@ -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;
+}

canvas-agent/src/types.ts

@@ -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 = { id?: string; name?: string; type?: string; size?: number; width?: number; height?: number; dataUrl?: string };

canvas-agent/tsconfig.json

@@ -0,0 +1,15 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "NodeNext",
+    "moduleResolution": "NodeNext",
+    "strict": true,
+    "esModuleInterop": true,
+    "declaration": true,
+    "outDir": "dist",
+    "rootDir": "src",
+    "skipLibCheck": true
+  },
+  "include": ["src/**/*.ts"],
+  "exclude": ["src/**/*.test.ts"]
+}

config/config.go

@@ -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
-}

docker-compose.local.yml

@@ -4,10 +4,6 @@ services:
     build:
       context: .
       dockerfile: Dockerfile
-    env_file:
-      - .env
-    volumes:
-      - ./data:/app/data
     ports:
       - "3000:3000"
     restart: unless-stopped

docker-compose.yml

@@ -2,10 +2,10 @@ 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
+    # 统计分析（可选，默认关闭）。每家一个独立变量，填了谁就启用谁，可同时启用多家：
+    # environment:
+    #   ANALYTICS_GA4_ID: G-XXXXXXXXXX                    # Google Analytics 4 衡量 ID
+    #   ANALYTICS_BAIDU_ID: xxxxxxxxxxxxxxxxxxxxxxxxxxxx   # 百度统计站点 ID

docs/.dockerignore

@@ -0,0 +1,9 @@
+node_modules
+.next
+out
+.source
+coverage
+*.log
+.env*
+!.env.example
+.DS_Store

docs/.gitignore

@@ -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

docs/Dockerfile

@@ -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"]

docs/README.md

@@ -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.

docs/api-response.md

@@ -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。

docs/backend-database.md

@@ -1,275 +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 |
-
-`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       |
-
-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                 |

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+    "@tailwindcss/oxide-wasm32-wasi/tslib": ["tslib@2.8.1", "", { "bundled": true }, "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w=="],
+
+    "ansi-align/string-width": ["string-width@4.2.3", "", { "dependencies": { "emoji-regex": "^8.0.0", "is-fullwidth-code-point": "^3.0.0", "strip-ansi": "^6.0.1" } }, "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g=="],
+
+    "chalk-template/chalk": ["chalk@4.1.2", "", { "dependencies": { "ansi-styles": "^4.1.0", "supports-color": "^7.1.0" } }, "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA=="],
+
+    "micromark/debug": ["debug@4.4.3", "", { "dependencies": { "ms": "^2.1.3" } }, "sha512-RGwwWnwQvkVfavKVt22FGLw+xYSdzARwm0ru6DhTVA3umU5hZc28V3kO4stgYryrTlLpuvgI9GiijltAjNbcqA=="],
+
+    "mime-types/mime-db": ["mime-db@1.33.0", "", {}, "sha512-BHJ/EKruNIqJf/QahvxwQZXKygOQ256myeN/Ew+THcAa5q+PjyTTMMeNQC4DZw5AwfvelsUrA6B67NKMqXDbzQ=="],
+
+    "next/postcss": ["postcss@8.4.31", "", { "dependencies": { "nanoid": "^3.3.6", "picocolors": "^1.0.0", "source-map-js": "^1.0.2" } }, "sha512-PS08Iboia9mts/2ygV3eLpY5ghnUcfLV/EXTOW1E2qYxJKGGBUtNjN76FYHnMs36RmARn41bC0AZmn+rR0OVpQ=="],
+
+    "parse-entities/@types/unist": ["@types/unist@2.0.11", "", {}, "sha512-CmBKiL6NNo/OqgmMn95Fk9Whlp2mtvIv+KNpQKN2F4SjvrEesubTRWGYSg+BnWZOnlCaSTU1sMpsBOzgbYhnsA=="],
+
+    "serve-handler/bytes": ["bytes@3.0.0", "", {}, "sha512-pMhOfFDPiv9t5jjIXkHosWmkSyQbvsgEVNkz0ERHbuLh2T/7j4Mqqpz523Fe8MVY89KC6Sh/QfS2sM+SjgFDcw=="],
+
+    "ansi-align/string-width/emoji-regex": ["emoji-regex@8.0.0", "", {}, "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="],
+
+    "ansi-align/string-width/strip-ansi": ["strip-ansi@6.0.1", "", { "dependencies": { "ansi-regex": "^5.0.1" } }, "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A=="],
+
+    "chalk-template/chalk/ansi-styles": ["ansi-styles@4.3.0", "", { "dependencies": { "color-convert": "^2.0.1" } }, "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg=="],
+
+    "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=="],
+  }
+}

docs/content/docs/business/business.mdx

@@ -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。

docs/content/docs/business/cla.mdx

@@ -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。
+

docs/content/docs/business/license.mdx

@@ -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。

docs/content/docs/business/meta.json

@@ -0,0 +1,10 @@
+{
+  "title": "商务合作",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "license",
+    "cla",
+    "business"
+  ]
+}

docs/content/docs/canvas/canvas-node-manual.mdx

@@ -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。
@@ -19,8 +24,9 @@
 - 当文本节点为空时，输入框用于填写想生成的文本内容；点击发送后，结果会回填到当前文本节点。
 - 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。
+- 输入框支持 `@` 引用已连接的图片、文本、视频、音频资源；`@` 引用图片时会在输入框内直接显示真实缩略图，发送时按当前连接自动编号交给模型。因此不需要再记忆「图片1 / 文本1」编号，画布节点右上角也不再显示资源角标。
 - 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 +45,18 @@
 - 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。

docs/content/docs/canvas/canvas-shortcuts.mdx

@@ -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
 

docs/content/docs/canvas/meta.json

@@ -0,0 +1,9 @@
+{
+  "title": "操作手册",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "canvas-node-manual",
+    "canvas-shortcuts"
+  ]
+}

docs/content/docs/development/canvas-data-structure.mdx

@@ -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。

docs/content/docs/development/local-codex-canvas.mdx

@@ -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
+```

docs/content/docs/development/local-development.mdx

@@ -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/`

docs/content/docs/development/meta.json

@@ -0,0 +1,10 @@
+{
+  "title": "开发文档",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "local-development",
+    "canvas-data-structure",
+    "local-codex-canvas"
+  ]
+}

docs/content/docs/meta.json

@@ -0,0 +1,12 @@
+{
+  "title": "文档",
+  "root": true,
+  "pages": [
+    "overview",
+    "canvas",
+    "development",
+    "progress",
+    "business",
+    "support"
+  ]
+}

docs/content/docs/overview/codex-app-plugin.mdx

@@ -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”。

docs/content/docs/overview/docker.mdx

@@ -0,0 +1,91 @@
+---
+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。
+
+## 统计分析（可选）
+
+项目**默认不接入任何统计**：不设置下列环境变量时，页面不会加载任何统计脚本，也不会发送任何外部请求。你在自己的部署上想查看流量时，设置对应环境变量即可，无需修改代码或重新构建镜像——镜像启动时会据此生成运行期配置。
+
+统计按「每家一个独立变量」配置：**填了谁就启用谁，可同时启用多家**（例如 GA4 + 百度一起开）。仅支持 GA4 与百度，两者都只接受 ID，脚本地址由代码固定拼接，不接受任意脚本地址或内联 JS。
+
+| 变量 | 说明 |
+| --- | --- |
+| `ANALYTICS_GA4_ID` | Google Analytics 4 衡量 ID（`G-XXXX`） |
+| `ANALYTICS_BAIDU_ID` | 百度统计站点 ID（`hm.js?` 后面那串 hash） |
+
+在 `docker-compose.yml` 的 `environment` 中配置（文件内已附注释示例），下例同时启用 GA4 与百度：
+
+```yaml
+services:
+  app:
+    image: ghcr.io/basketikun/infinite-canvas:latest
+    ports:
+      - "3000:3000"
+    environment:
+      ANALYTICS_GA4_ID: G-XXXXXXXXXX
+      ANALYTICS_BAIDU_ID: e8263761cc5c32f5f7a855b8203b965a
+```
+
+或使用 `docker run`：
+
+```bash
+docker run -d -p 3000:3000 \
+  -e ANALYTICS_GA4_ID=G-XXXXXXXXXX \
+  -e ANALYTICS_BAIDU_ID=e8263761cc5c32f5f7a855b8203b965a \
+  ghcr.io/basketikun/infinite-canvas:latest
+```
+
+单页应用的路由切换会自动向所有已启用的统计上报 pageview。
+
+<Callout type="warn">
+请只在你自己的站点上配置统计 ID，不要把 ID 提交进仓库；fork 或自托管本项目的用户默认不会产生任何统计。
+</Callout>

docs/content/docs/overview/features.mdx

@@ -0,0 +1,172 @@
+---
+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。
+
+## 画布项目
+
+- 支持创建多个画布项目。
+- 支持项目重命名、删除、批量选择和批量删除。
+- 支持单个画布项目导出为 JSON，也支持从 JSON 导入画布。
+- 画布项目保存在浏览器本地，登录账号后暂不会自动同步到服务器。
+
+## 无限画布
+
+- 支持拖动画布、滚轮缩放、缩放滑杆和重置视图。
+- 支持小地图定位，可开关小地图。
+- 支持点阵、网格线、空白三种背景。
+- 支持浅色和深色主题。
+- 支持框选、多选、全选、取消选择、删除选中。
+- 支持复制粘贴节点和节点之间的连线。
+- 支持撤销和重做节点、连线、视口、背景和助手会话变化。
+- 支持节点连线，并高亮当前节点相关的上下游节点和连线。
+- 支持快捷键帮助，覆盖缩放、框选、全选、复制粘贴、撤销重做、删除、退出选择和拖入图片。
+
+## 节点
+
+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。
+
+节点支持：
+
+- 拖拽移动。
+- 四角缩放。
+- 图片节点等比缩放或自由比例切换。
+- 查看节点基础信息和 JSON。
+- 删除、复制、粘贴。
+- 通过左右连接点建立上下游关系。
+
+## 图片工作流
+
+- 支持上传图片到新节点。
+- 支持拖拽图片文件到画布。
+- 支持替换已有图片节点内容。
+- 支持下载图片节点。
+- 支持把图片节点保存到“我的素材”。
+- 支持图片裁剪，并把裁剪结果生成为新的图片节点。
+- 支持本地多角度变换，并把结果生成为新的图片节点。
+- 支持生成失败后重试。
+- 批量生成多张图片时会先展示为图片组节点，支持叠卡预览、展开查看全部结果并设置主图。
+
+## AI 生成
+
+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/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：
+
+- Base URL。
+- API Key。
+- 默认模型。
+- 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。
+- 自定义生图 / 视频接口的调用方式，灵活适配不同中转站与自建服务。
+
+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。
+
+节点下方对话框和组装提示词输入框都支持 `@` 引用已连接的图片、文本、视频、音频等资源；`@` 引用图片时，输入框内会直接显示该图片的真实缩略图，而不再是「图片1」这类文字编号，发送时会按当前连接自动编号交给模型理解。由于引用改在对话框内直接 `@`，画布节点右上角不再显示「图片1 / 文本1」资源角标。
+
+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：
+
+- 文本问答。
+- 生图。
+- 读取当前选中节点作为引用。
+- 自动把选中节点的上游节点也纳入引用。
+- 粘贴图片到助手输入框并插入画布。
+- 历史会话。
+- 删除单条或多条会话。
+- 重试回答。
+- 把助手生成的文本插入画布。
+- 把助手生成的图片插入画布。
+- 折叠和展开助手面板。
+
+## 节点插件系统
+
+画布支持通过节点插件扩展新的节点类型，内置节点之外的能力都可以以插件形式加载：
+
+- 支持通过 URL 动态安装、启用、更新和卸载远程节点插件。
+- 提供官方插件注册表，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。
+- 提供 TypeScript 插件开发 SDK，可自行开发画布节点插件，并使用 AI 生成、面板控制等扩展能力。
+- 内置 Markdown、SVG、HTML、3D 全景、便利贴等示例插件。
+- 插件面板会显示插件版本，并对可升级的插件给出提醒。
+
+Codex App 插件的安装与使用见 [Codex App 插件](/docs/overview/codex-app-plugin)。
+
+## 提示词库
+
+前台提示词库支持：
+
+- 按标题搜索。
+- 按标签筛选。
+- 按来源筛选。
+- 查看提示词详情。
+- 查看封面和结果图。
+- 复制提示词。
+- 把提示词加入“我的素材”。
+
+提示词管理支持：
+
+- 查询提示词。
+- 按分组和标签筛选。
+- 查看远程提示词源。
+- 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，由浏览器前端直连拉取并缓存到 IndexedDB。
+
+## 素材
+
+“我的素材”是浏览器本地素材库，支持：
+
+- 新增文本素材和图片素材。
+- 编辑素材标题、封面、标签、来源、备注和内容。
+- 删除素材。
+- 按关键词搜索。
+- 按类型筛选。
+- 分页浏览。
+- 复制文本素材。
+- 下载图片素材。
+- 从提示词库和画布节点加入素材。
+- 在画布中插入素材。
+
+## 配置和同步
+
+- 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 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。

docs/content/docs/overview/meta.json

@@ -0,0 +1,14 @@
+{
+  "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/)"
+  ]
+}

docs/content/docs/overview/quick-start.mdx

@@ -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。

docs/content/docs/overview/render.mdx

@@ -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。

docs/content/docs/overview/third-party-prompt-repositories.mdx

@@ -1,9 +1,14 @@
+---
+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 |
 | --- | --- |
-| https://github.com/EvoLinkAI/awesome-gpt-image-2-API-and-Prompts | 已实现同步逻辑 |
 | https://github.com/ZeroLu/awesome-gpt-image | 已实现同步逻辑 |
 | https://github.com/ImgEdify/Awesome-GPT4o-Image-Prompts | 已实现同步逻辑 |
 | https://github.com/YouMind-OpenLab/awesome-gpt-image-2 | 已实现同步逻辑 |
 | https://github.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts | 已实现同步逻辑 |
+| https://github.com/davidwuw0811-boop/awesome-gpt-image2-prompts | 已实现同步逻辑 |

docs/content/docs/progress/local-agent-integration-plan.mdx

@@ -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。

docs/content/docs/progress/meta.json

@@ -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"
+  ]
+}

docs/content/docs/progress/pending-test.mdx

@@ -0,0 +1,18 @@
+---
+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
+
+- 提示词来源：6 个内置来源应从 Image Prompts 统一仓库读取，更新后数量依次为 323、494、53、76、126、129；提示词仍按 6 个来源分组并可独立启用，来源内可继续按 `tags` 筛选。添加标准 JSON URL 后应能查看内容，填写非数组 JSON 或不可访问地址时应显示失败，并继续保留该来源上一次成功缓存的内容。
+- 提示词来源界面：来源应以卡片列表展示，启用开关位于左侧，数量、同步状态和上次成功时间作为次级信息显示，查看、拉取及自定义来源编辑/删除操作使用带文字按钮；底部定时拉取区域应保持独立边框布局。
+- 我的提示词：在提示词中心切换到「我的提示词」，验证新增、编辑、删除和搜索；从提示词库保存后应出现在个人列表、画布左侧提示词面板和提示词选择弹窗中，刷新页面后数据仍保留在本地，Agent 搜索提示词时也应能查到。
+- 画布提示词库：不展开任何公共来源直接搜索其中的提示词，匹配项应自动显示；点击「插入画布」后应创建正文正确且标题保持为提示词标题的文本节点。
+- 全站 Agent：新增 `generation_get_status` 工具，画布生成节点可按 `nodeIds` 查询，生图和视频工作台提交后会返回 `taskId` 并可查询排队、运行、成功或失败状态；需验证查询只由当前活动标签页返回。
+- 本地 Agent 多标签页隔离：同时打开两个不同画布并连接同一个 Agent，分别聚焦标签页后通过 MCP 读取和修改画布，操作应只落在当前聚焦页面；网页面板发起的整个 Codex turn 应固定操作发起页面，即使中途聚焦另一标签页也不能切换目标；关闭当前页面后应回退到最近聚焦且仍连接的页面，其他页面回传同一请求结果应被拒绝。
+- 本地 Agent 多标签页会话同步：所有标签页共享同一个站点级 Codex 活跃线程；任一页面发送消息、新建、恢复或删除会话后，其他页面应同步活跃线程和聊天记录；Agent 输出仅显示在事件所属线程，运行中不能新建、恢复、删除或再次发送任务。
+- 本地 Agent 运行状态同步：在一个标签页运行较长 Codex 任务，等待某张工具卡显示「工具完成」后再打开或刷新第二个标签页；第二个标签页应立即显示 Codex 正在运行并禁用发送，整轮结束后两个标签页同时恢复；工具卡只显示「工具完成」，整轮结束由「本轮完成」表示。
+- 本地 Agent 图片附件落画布：在右侧 Agent 上传参考图并要求基于商品信息创建生图流程，附件应创建为保持原比例的真实图片节点，分析提示词应创建为文本节点，二者都应连接到生成配置节点；刷新页面后参考图仍可显示并参与生成。任务中途切换到其他标签页时，附件只能写入发起任务的标签页；若发起标签页关闭，附件读取应失败且不能落入其他画布。
+- Agent 对话滚动：从历史或日志切回对话、恢复其他会话时应自动定位到最新消息；手动向上浏览后应显示向下箭头且新消息不强制打断阅读，点击箭头后平滑回到底部并继续跟随新消息。
+- Agent 消息区分：用户消息应在右侧以主题浅底气泡显示，AI 回复应在左侧保留 Agent 图标并使用开放式 Markdown 排版；长文本、多张附件、错误消息及浅色/深色主题下均应清晰且不溢出。

docs/content/docs/progress/prompt-chip-input-plan.mdx

@@ -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）。

docs/content/docs/progress/todo.mdx

@@ -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。

docs/content/docs/support/meta.json

@@ -0,0 +1,9 @@
+{
+  "title": "支持与安全",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "security",
+    "sponsor"
+  ]
+}

docs/content/docs/support/security.mdx

@@ -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。

docs/content/docs/support/sponsor.mdx

@@ -0,0 +1,41 @@
+---
+title: 赞助支持
+description: 赞助支持、广告合作、项目露出和社区推广说明
+---
+
+# 赞助支持
+
+如果本项目对你有帮助，欢迎通过 Star、广告赞助合作、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。相关支持会优先用于购买 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。
+- 通过广告赞助合作支持项目维护成本。
+- 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。
+
+## 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。

docs/deployment.md

@@ -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`。

docs/docker-compose.local.yml

@@ -0,0 +1,8 @@
+services:
+  docs:
+    build:
+      context: ..
+      dockerfile: docs/Dockerfile
+    ports:
+      - "3001:3000"
+    restart: unless-stopped

docs/docker-compose.yml

@@ -0,0 +1,6 @@
+services:
+  docs:
+    image: ghcr.io/basketikun/infinite-canvas-docs:latest
+    ports:
+      - "3001:3000"
+    restart: unless-stopped

docs/features.md

@@ -1,166 +0,0 @@
-# 功能介绍
-
-本文档记录当前项目已经实现的主要功能。
-
-## 画布项目
-
-- 支持创建多个画布项目。
-- 支持项目重命名、删除、批量选择和批量删除。
-- 支持单个画布项目导出为 JSON，也支持从 JSON 导入画布。
-- 画布项目保存在浏览器本地，登录账号后暂不会自动同步到服务器。
-
-## 无限画布
-
-- 支持拖动画布、滚轮缩放、缩放滑杆和重置视图。
-- 支持小地图定位，可开关小地图。
-- 支持点阵、网格线、空白三种背景。
-- 支持浅色和深色主题。
-- 支持框选、多选、全选、取消选择、删除选中。
-- 支持复制粘贴节点和节点之间的连线。
-- 支持撤销和重做节点、连线、视口、背景和助手会话变化。
-- 支持节点连线，并高亮当前节点相关的上下游节点和连线。
-- 支持快捷键帮助，覆盖缩放、框选、全选、复制粘贴、撤销重做、删除、退出选择和拖入图片。
-
-## 节点
-
-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。
-- 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。
-
-节点支持：
-
-- 拖拽移动。
-- 四角缩放。
-- 图片节点等比缩放或自由比例切换。
-- 查看节点基础信息和 JSON。
-- 删除、复制、粘贴。
-- 通过左右连接点建立上下游关系。
-
-## 图片工作流
-
-- 支持上传图片到新节点。
-- 支持拖拽图片文件到画布。
-- 支持替换已有图片节点内容。
-- 支持下载图片节点。
-- 支持把图片节点保存到“我的素材”。
-- 支持图片裁剪，并把裁剪结果生成为新的图片节点。
-- 支持本地多角度变换，并把结果生成为新的图片节点。
-- 支持生成失败后重试。
-- 批量生成多张图片时会先展示为图片组节点，支持叠卡预览、展开查看全部结果并设置主图。
-
-## AI 生成
-
-项目通过前端直接请求 OpenAI 兼容接口：
-
-- `/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。
-
-可配置项：
-
-- Base URL。
-- API Key。
-- 默认模型。
-- 图片质量。
-- 图片比例。
-- 生成数量。
-
-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。
-
-## 画布助手
-
-画布右侧助手面板支持：
-
-- 文本问答。
-- 生图。
-- 读取当前选中节点作为引用。
-- 自动把选中节点的上游节点也纳入引用。
-- 粘贴图片到助手输入框并插入画布。
-- 历史会话。
-- 删除单条或多条会话。
-- 重试回答。
-- 把助手生成的文本插入画布。
-- 把助手生成的图片插入画布。
-- 折叠和展开助手面板。
-
-## 提示词库
-
-前台提示词库支持：
-
-- 按标题搜索。
-- 按标签筛选。
-- 按来源筛选。
-- 查看提示词详情。
-- 查看封面和结果图。
-- 复制提示词。
-- 把提示词加入“我的素材”。
-
-后台提示词管理支持：
-
-- 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。
-
-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。
-
-## 素材
-
-“我的素材”是浏览器本地素材库，支持：
-
-- 新增文本素材和图片素材。
-- 编辑素材标题、封面、标签、来源、备注和内容。
-- 删除素材。
-- 按关键词搜索。
-- 按类型筛选。
-- 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。
-- 在画布中插入素材。
-
-“素材库”是服务器素材库，支持：
-
-- 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。
-- 画布更适合桌面端使用，移动端触控体验还未系统完善。

docs/index.md

@@ -0,0 +1,45 @@
+# 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)
+- [赞助支持](/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/development/local-codex-canvas)

docs/next.config.mjs

@@ -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);

docs/package.json

@@ -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"
+  }
+}

docs/pending-test.md

@@ -1,3 +0,0 @@
-# 待测试
-
-- 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。

docs/postcss.config.mjs

@@ -0,0 +1,7 @@
+const config = {
+  plugins: {
+    '@tailwindcss/postcss': {},
+  },
+};
+
+export default config;

docs/public/github.svg

@@ -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>

docs/public/logo.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>

docs/public/qq.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>

docs/source.config.ts

@@ -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
+  },
+});

docs/src/app/(home)/layout.tsx

@@ -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>;
+}

docs/src/app/(home)/page.tsx

@@ -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>
+  );
+}

docs/src/app/api/search/route.ts

@@ -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(),
+  },
+});

docs/src/app/docs/[...slug]/page.tsx

@@ -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);
+}

docs/src/app/docs/layout.tsx

@@ -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>
+  );
+}

docs/src/app/docs/page.tsx

@@ -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,
+  };
+}

docs/src/app/docs/progress/changelog/page.tsx

@@ -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,
+  };
+}

docs/src/app/global.css

@@ -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;
+}

docs/src/app/icon.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>

docs/src/app/layout.tsx

@@ -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>
+  );
+}

docs/src/app/llms-full.txt/route.ts

@@ -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'));
+}

docs/src/app/llms.mdx/docs/[[...slug]]/route.ts

@@ -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,
+  }));
+}

docs/src/app/llms.txt/route.ts

@@ -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'));
+}

docs/src/components/docs-top-tabs.tsx

@@ -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/sponsor', 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>
+  );
+}

docs/src/components/mdx.tsx

@@ -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>;
+}

docs/src/components/provider.tsx

@@ -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>;
+}

docs/src/components/search.tsx

@@ -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>
+  );
+}

docs/src/lib/cn.ts

@@ -0,0 +1 @@
+export { twMerge as cn } from 'tailwind-merge';

docs/src/lib/doc-page.tsx

@@ -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,
+  };
+}