feat(changelog): update to version 0.4.0 with new web-based Agent Loop mode and Vercel one-click deployment support

ci: 增加 ARM 架构 Docker 镜像自动构建

.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 +1 @@
-# 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
+NEXT_PUBLIC_DOC_URL=https://docs.canvas.best

.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/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."

AGENTS.md

@@ -6,6 +6,7 @@
 
 - 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。
 - 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。
@@ -66,14 +67,15 @@
 ## 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 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。
+- 接口响应规则写到 `docs/content/docs/backend/api-response.mdx`。
+- 数据库结构写到 `docs/content/docs/backend/backend-database.mdx`。
 - 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 +2,61 @@
 
 ## Unreleased
 
+## 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。
 

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

@@ -3,39 +3,25 @@ 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 --frozen-lockfile --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
-
-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
+# 运行镜像：只启动 Next.js，AI 请求由浏览器前台直连用户自己的接口。
+FROM node:22-bookworm-slim
 
 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
+COPY --from=web-build /app/web/public /app/web/public
+COPY --from=web-build /app/web/.next/standalone /app/web
+COPY --from=web-build /app/web/.next/static /app/web/.next/static
+ENV NODE_ENV=production
+ENV HOSTNAME=0.0.0.0
+ENV PORT=3000
 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
 
 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"]
+CMD ["sh", "-c", "cd /app/web && PORT=3000 node server.js"]

README.md

@@ -4,6 +4,16 @@
 
 <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="VERSION"><img src="https://img.shields.io/badge/version-v0.2.0-2563eb?style=flat-square" 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://vercel.com/"><img src="https://img.shields.io/badge/Vercel-ready-000000?style=flat-square&logo=vercel" alt="Vercel ready"></a>
+  <a href="https://nextjs.org/"><img src="https://img.shields.io/badge/Next.js-16.2-000000?style=flat-square&logo=nextdotjs" alt="Next.js"></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]
@@ -14,42 +24,54 @@
 ## 核心功能
 
 - 无限画布：多画布项目、节点拖拽缩放、连线、小地图、撤销重做、导入导出。
-- AI 创作：支持 OpenAI 兼容接口的文生图、图生图、参考图编辑和文本问答。
+- AI 创作：浏览器前台直连你配置的 OpenAI 兼容接口，支持文生图、图生图、参考图编辑、文本问答、音频和视频生成；Seedance 2.0 可通过火山方舟 Agent Plan 接入。
 - 画布助手：围绕选中节点和上游节点对话、生图，并把结果插回画布。
-- 提示词库：抓取多个 GitHub 开源项目，按案例整理数百个图片提示词。
+- 本地 Agent：通过本机 Canvas Agent 连接 Codex / Claude Code，让 Agent 通过 MCP 操作当前画布。
+- 提示词库：Next.js route 抓取多个 GitHub 开源项目，并缓存在运行实例内存中。
 
-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。
+- 少量 Next.js Route：第三方提示词内存缓存、WebDAV 可选代理。
+- 部署：Vercel 或 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)
+推荐直接导入仓库到 Vercel，根目录已提供 `vercel.json`，会构建 `web/`。AI API Key、Base URL、画布、素材和生成记录默认保存在浏览器本地。
 
 ```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
+docker build -t infinite-canvas .
+docker run --rm -p 3000:3000 infinite-canvas
 ```
 
 运行后默认端口3000，可访问 `http://localhost:3000`。
 
-如需要拉取提示词，可前往:`http://localhost:3000/admin/prompts`
+首次打开后进入右上角配置，填入自己的 OpenAI 兼容 `Base URL` 和 `API Key`。
+
+## New API 自动配置
+
+如果使用 New API，可在 `系统设置 -> 聊天方式 -> 添加聊天设置` 中填入：
+
+```text
+https://canvas.best?apiKey={key}&baseUrl={address}
+```
+
+跳转后会自动打开配置弹窗并填入 API Key 和 Base URL。
+如果自己部署了，可以把 `https://canvas.best` 替换成你部署的地址。
 
 ## 效果展示
 
@@ -66,18 +88,41 @@ 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
 
-- [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)
+- [快速开始](docs/content/docs/overview/quick-start.mdx)
+- [功能介绍](docs/content/docs/overview/features.mdx)
+- [Render 部署](docs/content/docs/overview/render.mdx)
+- [Docker 部署](docs/content/docs/overview/docker.mdx)
+- [画布节点操作手册](docs/content/docs/canvas/canvas-node-manual.mdx)
+- [画布快捷键](docs/content/docs/canvas/canvas-shortcuts.mdx)
+- [贡献者协议](CLA.md)
+- [漏洞提交](SECURITY.md)
+- [待办事项](docs/content/docs/progress/todo.mdx)
+- [本地 Canvas Agent](canvas-agent/README.md)
+
+## 赞助支持
+
+<div align="center">
+
+如果这个项目对你有帮助，欢迎通过爱发电赞助支持，你的每一份鼓励都是持续更新的动力！
+
+<br>
+
+<a href="https://ifdian.net/a/basketikun">
+  <img src="https://img.shields.io/badge/%E7%88%B1%E5%8F%91%E7%94%B5-%E8%B5%9E%E5%8A%A9%E4%BD%9C%E8%80%85-946ce6?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0id2hpdGUiPjxwYXRoIGQ9Ik0xMiAyMS4zNWwtMS40NS0xLjMyQzUuNCAxNS4zNiAyIDEyLjI4IDIgOC41IDIgNS40MiA0LjQyIDMgNy41IDNjMS43NCAwIDMuNDEuODEgNC41IDIuMDlDMTMuMDkgMy44MSAxNC43NiAzIDE2LjUgMyAxOS41OCAzIDIyIDUuNDIgMjIgOC41YzAgMy43OC0zLjQgNi44Ni04LjU1IDExLjU0TDEyIDIxLjM1eiIvPjwvc3ZnPg==&logoColor=white" alt="爱发电赞助" />
+</a>
+
+<br>
+<br>
+
+</div>
 
 ## 社区支持
 
@@ -89,7 +134,6 @@ 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 +1,64 @@
+# 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
+
+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 @@
-v0.0.9
+v0.4.0

canvas-agent/.gitignore

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

canvas-agent/README.md

@@ -0,0 +1,113 @@
+# Infinite Canvas Agent
+
+本地 Canvas Agent 用来连接线上画布网页和用户电脑上的 Codex / Claude Code。
+
+## 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。
+
+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。
+
+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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+    "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 +1,38 @@
+{
+  "name": "@basketikun/canvas-agent",
+  "version": "0.1.0",
+  "type": "module",
+  "main": "./dist/index.js",
+  "types": "./dist/index.d.ts",
+  "bin": {
+    "canvas-agent": "./dist/index.js"
+  },
+  "files": [
+    "dist",
+    "README.md"
+  ],
+  "scripts": {
+    "dev": "tsx src/index.ts",
+    "build": "tsc -p tsconfig.json",
+    "start": "node dist/index.js",
+    "prepack": "npm run build"
+  },
+  "dependencies": {
+    "@modelcontextprotocol/sdk": "^1.12.1",
+    "@openai/codex": "^0.139.0",
+    "express": "^5.1.0",
+    "zod": "^3.25.0"
+  },
+  "devDependencies": {
+    "@types/express": "^5.0.0",
+    "@types/node": "^22.0.0",
+    "tsx": "^4.19.0",
+    "typescript": "^5.8.0"
+  },
+  "engines": {
+    "node": ">=18"
+  },
+  "publishConfig": {
+    "access": "public"
+  }
+}

canvas-agent/src/agents.ts

@@ -0,0 +1,491 @@
+import { spawn, type ChildProcess, type StdioOptions } from "node:child_process";
+import fs from "node:fs/promises";
+import os from "node:os";
+import path from "node:path";
+import { createRequire } from "node:module";
+import { fileURLToPath } from "node:url";
+
+import { AGENT_PROMPT, VERSION } from "./config.js";
+import type { AgentAttachment, AgentEmit } from "./types.js";
+
+type Json = Record<string, unknown>;
+type AgentEvent = Json & { type: string; usage?: unknown };
+type PendingRequest = { resolve: (value: unknown) => void; reject: (error: Error) => void };
+type CodexRunOptions = { threadId?: string; cwd?: string };
+type AgentHistoryMessage = { id: string; role: "user" | "assistant" | "tool" | "error"; title?: string; text: string; detail?: unknown; streamId?: string };
+
+let codexQueue: Promise<unknown> = Promise.resolve();
+let codexApp: CodexAppClient | null = null;
+let codexThreadId = "";
+const canvasAgentMcp = canvasAgentMcpCommand();
+const require = createRequire(import.meta.url);
+
+export function withAgentPrompt(prompt: string) {
+    return prompt.trim() ? `${AGENT_PROMPT}\n\n用户请求：${prompt}` : "";
+}
+
+export async function runCodexTurn(prompt: string, emit: AgentEmit, attachments: AgentAttachment[] = [], options: CodexRunOptions = {}) {
+    if (!prompt.trim()) return;
+    codexQueue = codexQueue.catch(() => undefined).then(() => runCodexTurnNow(prompt, emit, attachments, options));
+    await codexQueue;
+}
+
+async function runCodexTurnNow(prompt: string, emit: AgentEmit, attachments: AgentAttachment[], options: CodexRunOptions) {
+    let files: string[] = [];
+    try {
+        files = await writeAttachmentFiles(attachments);
+        codexApp ||= await CodexAppClient.start(emit);
+        const threadId = await ensureCodexThread(codexApp, options);
+        await codexApp.startTurn(threadId, prompt, files);
+    } catch (error) {
+        emit("agent_error", { message: errorMessage(error) });
+    } finally {
+        await Promise.all(files.map((file) => fs.unlink(file).catch(() => undefined)));
+    }
+}
+
+export async function startCodexThread(emit: AgentEmit, cwd?: string) {
+    codexApp ||= await CodexAppClient.start(emit);
+    const thread = await codexApp.startThread(cwd);
+    codexThreadId = String(field(thread, "id") || "");
+    return thread;
+}
+
+export async function resumeCodexThread(emit: AgentEmit, threadId: string, cwd?: string) {
+    codexApp ||= await CodexAppClient.start(emit);
+    await loadCodexThread(emit, threadId, cwd, false);
+    const thread = await codexApp.resumeThread(threadId, cwd);
+    assertThreadWorkspace(thread, cwd);
+    codexThreadId = String(field(thread, "id") || threadId);
+    return { thread, messages: threadMessages(thread) };
+}
+
+export async function listCodexThreads(emit: AgentEmit, options: { cwd: string; searchTerm?: string; limit?: number }) {
+    codexApp ||= await CodexAppClient.start(emit);
+    const result = await codexApp.listThreads({
+        limit: options.limit || 40,
+        sortKey: "updated_at",
+        sortDirection: "desc",
+        sourceKinds: ["cli", "vscode", "appServer", "exec"],
+        cwd: options.cwd,
+        ...(options.searchTerm ? { searchTerm: options.searchTerm } : {}),
+    });
+    const data = Array.isArray(field(result, "data")) ? (field(result, "data") as unknown[]).map(summarizeCodexThread).filter((thread) => threadInWorkspace(thread, options.cwd)) : [];
+    return { data, nextCursor: field(result, "nextCursor") || null, backwardsCursor: field(result, "backwardsCursor") || null };
+}
+
+export async function readCodexThread(emit: AgentEmit, threadId: string, cwd?: string) {
+    const thread = await loadCodexThread(emit, threadId, cwd, true);
+    return { thread: summarizeCodexThread(thread), messages: threadMessages(thread) };
+}
+
+export async function verifyCodexThreadWorkspace(emit: AgentEmit, threadId: string, cwd: string) {
+    await loadCodexThread(emit, threadId, cwd, false);
+}
+
+export async function archiveCodexThread(emit: AgentEmit, threadId: string, cwd?: string) {
+    codexApp ||= await CodexAppClient.start(emit);
+    await loadCodexThread(emit, threadId, cwd, false);
+    await codexApp.archiveThread(threadId);
+}
+
+export function runClaudeTurn(prompt: string, emit: AgentEmit) {
+    if (!prompt.trim()) return;
+    const child = spawnAgent("claude", ["-p", "--output-format", "stream-json", "--verbose", "--include-partial-messages", "--allowedTools", "mcp__infinite-canvas__*", prompt], ["ignore", "pipe", "pipe"], emit);
+    if (!child) return;
+    pipeJsonLines(child, emit, "claude");
+}
+
+async function ensureCodexThread(app: CodexAppClient, options: CodexRunOptions) {
+    if (options.threadId) {
+        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;
+    }
+    if (!codexThreadId) {
+        const thread = await app.startThread(options.cwd);
+        codexThreadId = String(field(thread, "id") || "");
+    }
+    return codexThreadId;
+}
+
+class CodexAppClient {
+    private nextId = 1;
+    private buffer = "";
+    private textByItem = new Map<string, string>();
+    private deltaCount = 0;
+    private lastUsage: unknown = null;
+    private pending = new Map<number, PendingRequest>();
+    private activeTurns = new Map<string, PendingRequest>();
+    private completedTurns = new Map<string, Error | null>();
+
+    private constructor(private child: ChildProcess, private emit: AgentEmit) {}
+
+    static async start(emit: AgentEmit) {
+        const child = spawn(process.execPath, [codexBin(), "app-server", "--stdio"], { stdio: ["pipe", "pipe", "pipe"], windowsHide: true });
+        const client = new CodexAppClient(child, emit);
+        child.stdout?.on("data", (chunk) => client.read(chunk.toString()));
+        child.stderr?.on("data", (chunk) => emit("agent_log", { text: chunk.toString() }));
+        child.on("error", (error) => emit("agent_error", { message: error.message }));
+        child.on("exit", (code) => {
+            client.failAll(`Codex app-server exited: ${code ?? 0}`);
+            codexApp = null;
+            codexThreadId = "";
+            emit("agent_log", { text: `Codex app-server exited: ${code ?? 0}` });
+        });
+        await client.request("initialize", { clientInfo: { name: "canvas-agent", title: "Infinite Canvas Agent", version: VERSION }, capabilities: { experimentalApi: true, requestAttestation: false } });
+        client.notify("initialized");
+        return client;
+    }
+
+    async startThread(cwd?: string) {
+        const result = await this.request("thread/start", { approvalPolicy: "never", sandbox: "workspace-write", config: codexConfig(), ...(cwd ? { cwd } : {}), threadSource: "user" });
+        const thread = field(result, "thread") as Json | undefined;
+        const id = String(field(thread, "id") || "");
+        if (!id) throw new Error("Codex app-server 没有返回 thread id");
+        return thread || {};
+    }
+
+    async resumeThread(threadId: string, cwd?: string) {
+        const result = await this.request("thread/resume", { threadId, approvalPolicy: "never", sandbox: "workspace-write", config: codexConfig(), ...(cwd ? { cwd } : {}) });
+        const thread = field(result, "thread") as Json | undefined;
+        const id = String(field(thread, "id") || "");
+        if (!id) throw new Error("Codex app-server 没有返回 thread id");
+        return thread || {};
+    }
+
+    listThreads(params: Json) {
+        return this.request("thread/list", params);
+    }
+
+    readThread(threadId: string, includeTurns = true) {
+        return this.request("thread/read", { threadId, includeTurns });
+    }
+
+    archiveThread(threadId: string) {
+        return this.request("thread/archive", { threadId });
+    }
+
+    async startTurn(threadId: string, prompt: string, images: string[]) {
+        const result = await this.request("turn/start", { threadId, input: codexInput(prompt, images), approvalPolicy: "never" });
+        const turnId = String(field(field(result, "turn"), "id") || "");
+        if (!turnId) throw new Error("Codex app-server 没有返回 turn id");
+        const completed = this.completedTurns.get(turnId);
+        if (this.completedTurns.has(turnId)) {
+            this.completedTurns.delete(turnId);
+            if (completed) throw completed;
+            return;
+        }
+        await new Promise((resolve, reject) => this.activeTurns.set(turnId, { resolve, reject }));
+    }
+
+    private request(method: string, params: unknown) {
+        const id = this.nextId++;
+        this.write({ id, method, params });
+        return new Promise((resolve, reject) => this.pending.set(id, { resolve, reject }));
+    }
+
+    private notify(method: string, params?: unknown) {
+        this.write(params === undefined ? { method } : { method, params });
+    }
+
+    private write(value: unknown) {
+        this.child.stdin?.write(`${JSON.stringify(value)}\n`);
+    }
+
+    private read(chunk: string) {
+        this.buffer += chunk;
+        const lines = this.buffer.split(/\r?\n/);
+        this.buffer = lines.pop() || "";
+        lines.filter(Boolean).forEach((line) => {
+            try {
+                this.handle(JSON.parse(line) as Json);
+            } catch {
+                this.emit("agent_log", { text: line });
+            }
+        });
+    }
+
+    private handle(message: Json) {
+        const id = Number(message.id);
+        if (message.error && this.pending.has(id)) return this.reject(id, String(field(message.error, "message") || "Codex request failed"));
+        if (this.pending.has(id)) return this.resolve(id, message.result);
+        if (typeof message.method === "string" && "id" in message) return this.answerServerRequest(message);
+        if (typeof message.method === "string") this.handleNotification(message.method, (message.params || {}) as Json);
+    }
+
+    private handleNotification(method: string, params: Json) {
+        if (method === "item/agentMessage/delta") return this.emitDelta(params);
+        if (method === "thread/tokenUsage/updated") this.lastUsage = normalizeUsage(params);
+        const event = normalizeCodexNotification(method, params);
+        if (!event) return;
+        if (event.type === "turn.completed") event.usage = this.lastUsage;
+        this.emit("agent_event", { agent: "codex", ...event });
+        if (event.type === "turn.completed") {
+            const turnId = String(field(params, "turnId") || field(field(params, "turn"), "id") || "");
+            const pending = this.activeTurns.get(turnId);
+            const error = field(field(params, "turn"), "error");
+            if (pending) {
+                this.activeTurns.delete(turnId);
+                error ? pending.reject(new Error(String(field(error, "message") || "Codex turn failed"))) : pending.resolve(event);
+            } else if (turnId) {
+                this.completedTurns.set(turnId, error ? new Error(String(field(error, "message") || "Codex turn failed")) : null);
+            }
+            this.emit("agent_event", { agent: "codex", type: "stream.summary", delta_count: this.deltaCount });
+            this.deltaCount = 0;
+            this.emit("agent_done", { agent: "codex", usage: event.usage });
+        }
+    }
+
+    private emitDelta(params: Json) {
+        const id = String(field(params, "itemId") || "");
+        const text = `${this.textByItem.get(id) || ""}${String(field(params, "delta") || "")}`;
+        this.deltaCount += 1;
+        this.textByItem.set(id, text);
+        this.emit("agent_event", { agent: "codex", type: "item.updated", item: { id, type: "agent_message", text } });
+    }
+
+    private answerServerRequest(message: Json) {
+        const method = String(message.method);
+        const result = method === "mcpServer/elicitation/request" ? { action: "accept", content: {}, _meta: null } : { decision: "decline" };
+        this.write({ id: message.id, result });
+        this.emit("agent_event", { agent: "codex", type: "server.request", method, params: message.params, result });
+    }
+
+    private resolve(id: number, result: unknown) {
+        const pending = this.pending.get(id);
+        if (pending) (this.pending.delete(id), pending.resolve(result));
+    }
+
+    private reject(id: number, message: string) {
+        const pending = this.pending.get(id);
+        if (pending) (this.pending.delete(id), pending.reject(new Error(message)));
+    }
+
+    failAll(message: string) {
+        [...this.pending.values(), ...this.activeTurns.values()].forEach((item) => item.reject(new Error(message)));
+        this.pending.clear();
+        this.activeTurns.clear();
+    }
+}
+
+function canvasAgentMcpCommand() {
+    const current = process.argv.find((arg) => /index\.(t|j)s$/.test(arg)) || "";
+    const entry = path.resolve(current || fileURLToPath(new URL("./index.js", import.meta.url)));
+    const tsx = path.join(path.dirname(entry), "..", "node_modules", "tsx", "dist", "cli.mjs");
+    return entry.endsWith(".ts") ? { command: process.execPath, args: [tsx, entry, "mcp"] } : { command: process.execPath, args: [entry, "mcp"] };
+}
+
+function codexConfig() {
+    return { mcp_servers: { "infinite-canvas": { command: canvasAgentMcp.command, args: canvasAgentMcp.args, default_tools_approval_mode: "approve", startup_timeout_sec: 20, tool_timeout_sec: 90 } } };
+}
+
+function codexInput(prompt: string, images: string[]) {
+    return [{ type: "text", text: prompt, text_elements: [] }, ...images.map((file) => ({ type: "localImage", path: file }))];
+}
+
+function normalizeCodexNotification(method: string, params: Json): AgentEvent | null {
+    if (method === "thread/started") return { type: "thread.started", thread_id: field(field(params, "thread"), "id") };
+    if (method === "turn/started") return { type: "turn.started" };
+    if (method === "turn/completed") return { type: "turn.completed", usage: null };
+    if (method === "item/started") return { type: "item.started", item: normalizeItem(field(params, "item")) };
+    if (method === "item/completed") return { type: "item.completed", item: normalizeItem(field(params, "item")) };
+    if (method === "error") return { type: "error", message: field(params, "message") };
+    return null;
+}
+
+async function loadCodexThread(emit: AgentEmit, threadId: string, cwd: string | undefined, includeTurns: boolean) {
+    codexApp ||= await CodexAppClient.start(emit);
+    const result = await codexApp.readThread(threadId, includeTurns);
+    const thread = field(result, "thread") || {};
+    assertThreadWorkspace(thread, cwd);
+    return thread;
+}
+
+function assertThreadWorkspace(thread: unknown, cwd?: string) {
+    if (!cwd || threadInWorkspace(thread, cwd)) return;
+    throw new Error("该 Codex 会话不属于当前画布工作空间");
+}
+
+function threadInWorkspace(thread: unknown, cwd: string) {
+    const threadCwd = String(field(thread, "cwd") || "");
+    return Boolean(threadCwd && path.resolve(threadCwd) === path.resolve(cwd));
+}
+
+function normalizeItem(item: unknown) {
+    const value = item && typeof item === "object" ? { ...(item as Json) } : {};
+    if (value.type === "agentMessage") value.type = "agent_message";
+    if (value.type === "mcpToolCall") value.type = "mcp_tool_call";
+    if (value.type === "agent_message" && typeof value.id === "string") value.text = String(value.text || "");
+    if ("arguments" in value) value.arguments = parseMaybeJson(value.arguments);
+    return value;
+}
+
+function normalizeUsage(params: Json) {
+    const total = field(field(params, "tokenUsage"), "total") as Json | undefined;
+    return {
+        input_tokens: field(total, "inputTokens"),
+        cached_input_tokens: field(total, "cachedInputTokens"),
+        output_tokens: field(total, "outputTokens"),
+        reasoning_output_tokens: field(total, "reasoningOutputTokens"),
+    };
+}
+
+function parseMaybeJson(value: unknown) {
+    if (typeof value !== "string") return value;
+    try {
+        return JSON.parse(value);
+    } catch {
+        return value;
+    }
+}
+
+function field(value: unknown, key: string) {
+    return value && typeof value === "object" ? (value as Json)[key] : undefined;
+}
+
+export function summarizeCodexThread(thread: unknown) {
+    return {
+        id: String(field(thread, "id") || ""),
+        sessionId: String(field(thread, "sessionId") || ""),
+        preview: displayUserText(String(field(thread, "preview") || "")),
+        name: stringOrNull(field(thread, "name")),
+        cwd: String(field(thread, "cwd") || ""),
+        status: String(field(thread, "status") || ""),
+        source: field(thread, "source"),
+        threadSource: field(thread, "threadSource"),
+        createdAt: Number(field(thread, "createdAt") || 0),
+        updatedAt: Number(field(thread, "updatedAt") || 0),
+    };
+}
+
+function threadMessages(thread: unknown): AgentHistoryMessage[] {
+    const turns = arrayValue(field(thread, "turns"));
+    const messages: AgentHistoryMessage[] = [];
+    turns.forEach((turn, turnIndex) => {
+        arrayValue(field(turn, "items")).forEach((item, itemIndex) => {
+            const type = String(field(item, "type") || "");
+            const id = String(field(item, "id") || `${turnIndex}-${itemIndex}`);
+            if (type === "userMessage") {
+                const text = displayUserText(userInputText(field(item, "content")));
+                if (text) messages.push({ id, role: "user", text });
+            }
+            if (type === "agentMessage") {
+                const text = String(field(item, "text") || "").trim();
+                if (text) messages.push({ id, role: "assistant", title: "Codex", text, streamId: id });
+            }
+            if (type === "mcpToolCall") {
+                const tool = String(field(item, "tool") || "工具调用");
+                const error = field(field(item, "error"), "message");
+                messages.push({ id, role: error ? "error" : "tool", title: toolName(tool), text: error ? String(error) : `${toolName(tool)} ${String(field(item, "status") || "完成")}`, detail: item });
+            }
+            if (type === "commandExecution") {
+                const command = String(field(item, "command") || "").trim();
+                if (command) messages.push({ id, role: "tool", title: "命令", text: command, detail: { cwd: field(item, "cwd"), status: field(item, "status"), exitCode: field(item, "exitCode") } });
+            }
+            if (type === "fileChange") messages.push({ id, role: "tool", title: "文件变更", text: "Codex 修改了文件", detail: item });
+        });
+    });
+    return messages.filter((item) => item.text).slice(-120);
+}
+
+function userInputText(content: unknown) {
+    return arrayValue(content)
+        .map((item) => {
+            const type = String(field(item, "type") || "");
+            if (type === "text") return String(field(item, "text") || "");
+            if (type === "image" || type === "localImage") return "图片附件";
+            if (type === "mention") return `@${String(field(item, "name") || "文件")}`;
+            return "";
+        })
+        .filter(Boolean)
+        .join("\n");
+}
+
+function displayUserText(text: string) {
+    const value = text.trim();
+    const marker = "用户请求：";
+    const index = value.lastIndexOf(marker);
+    return (index >= 0 ? value.slice(index + marker.length) : value).trim();
+}
+
+function arrayValue(value: unknown) {
+    return Array.isArray(value) ? value : [];
+}
+
+function stringOrNull(value: unknown) {
+    return typeof value === "string" && value.trim() ? value : null;
+}
+
+function toolName(name: string) {
+    if (name === "canvas_apply_ops") return "画布操作";
+    if (name === "canvas_get_state") return "读取画布";
+    if (name === "canvas_get_selection") return "读取选区";
+    if (name === "canvas_export_snapshot") return "导出快照";
+    if (name === "canvas_create_text_node") return "创建文本";
+    if (name === "canvas_create_image_prompt_flow") return "创建生图流程";
+    if (name === "canvas_create_generation_flow") return "创建生成流程";
+    if (name === "canvas_generate_text") return "生成文本";
+    if (name === "canvas_generate_image") return "生成图片";
+    if (name === "canvas_generate_video") return "生成视频";
+    if (name === "canvas_generate_audio") return "生成音频";
+    if (name === "canvas_run_generation") return "触发生成";
+    return name;
+}
+
+async function writeAttachmentFiles(attachments: AgentAttachment[]) {
+    return await Promise.all(attachments.filter((item) => item.dataUrl?.startsWith("data:image/")).map(writeAttachmentFile));
+}
+
+async function writeAttachmentFile(item: AgentAttachment) {
+    const [, meta = "", data = ""] = item.dataUrl?.match(/^data:([^;]+);base64,(.+)$/) || [];
+    if (!data) throw new Error(`图片附件无效：${item.name || "未命名图片"}`);
+    const file = path.join(os.tmpdir(), `infinite-canvas-${Date.now()}-${Math.random().toString(16).slice(2)}.${imageExt(meta || item.type)}`);
+    await fs.writeFile(file, Buffer.from(data, "base64"));
+    return file;
+}
+
+function imageExt(type = "") {
+    if (type.includes("png")) return "png";
+    if (type.includes("webp")) return "webp";
+    return "jpg";
+}
+
+function codexBin() {
+    return path.join(path.dirname(require.resolve("@openai/codex/package.json")), "bin", "codex.js");
+}
+
+function pipeJsonLines(child: ReturnType<typeof spawn>, emit: AgentEmit, agent: string) {
+    let out = "";
+    child.stdout?.on("data", (chunk) => {
+        out += chunk.toString();
+        const lines = out.split(/\r?\n/);
+        out = lines.pop() || "";
+        lines.filter(Boolean).forEach((line) => {
+            try {
+                emit("agent_event", { agent, ...JSON.parse(line) });
+            } catch {
+                emit("agent_event", { agent, type: "raw", text: line });
+            }
+        });
+    });
+    child.stderr?.on("data", (chunk) => emit("agent_log", { text: chunk.toString() }));
+    child.on("error", (error) => emit("agent_error", { message: error.message }));
+    child.on("close", (code) => emit("agent_done", { agent, code }));
+}
+
+function spawnAgent(name: string, args: string[], stdio: StdioOptions, emit: AgentEmit) {
+    try {
+        return spawn(name, args, { stdio, shell: process.platform === "win32", windowsHide: true });
+    } catch (error) {
+        emit("agent_error", { message: errorMessage(error) });
+        return null;
+    }
+}
+
+function errorMessage(error: unknown) {
+    return error instanceof Error ? error.message : String(error);
+}

canvas-agent/src/canvas-session.ts

@@ -0,0 +1,248 @@
+import crypto from "node:crypto";
+import type { ServerResponse } from "node:http";
+
+import { type ToolName } from "./schemas.js";
+import { compactCanvasState, compactNode, isToolName, nextCanvasX, parseToolInput } from "./tools.js";
+import type { CanvasNode, CanvasNodeType, CanvasSnapshot } from "./types.js";
+
+type PendingRequest = { resolve: (value: unknown) => void; reject: (error: Error) => void };
+
+export class CanvasSession {
+    private clients = new Map<string, ServerResponse>();
+    private pending = new Map<string, PendingRequest>();
+    private canvasState: CanvasSnapshot | null = null;
+
+    health() {
+        return { ok: true, hasCanvas: Boolean(this.canvasState), clients: this.clients.size };
+    }
+
+    openEvents(url: URL, res: ServerResponse) {
+        const clientId = url.searchParams.get("clientId") || crypto.randomUUID();
+        res.writeHead(200, { "Content-Type": "text/event-stream", "Cache-Control": "no-cache", Connection: "keep-alive" });
+        this.clients.set(clientId, res);
+        sendEvent(res, "hello", { ok: true, clientId });
+        const timer = setInterval(() => sendEvent(res, "ping", { time: Date.now() }), 15000);
+        res.on("close", () => {
+            clearInterval(timer);
+            this.clients.delete(clientId);
+            if (this.canvasState?.clientId === clientId) this.canvasState = null;
+        });
+    }
+
+    updateState(body: unknown, clientId?: string) {
+        this.canvasState = { ...((body && typeof body === "object" && !Array.isArray(body) ? body : {}) as Record<string, unknown>), clientId } as CanvasSnapshot;
+    }
+
+    resolveResult(body: { requestId?: string; error?: string; result?: unknown }) {
+        const item = body.requestId ? this.pending.get(body.requestId) : null;
+        if (!item || !body.requestId) return;
+        this.pending.delete(body.requestId);
+        body.error ? item.reject(new Error(body.error)) : item.resolve(body.result);
+    }
+
+    emitAll(type: string, payload: unknown) {
+        this.clients.forEach((client) => sendEvent(client, type, payload));
+    }
+
+    async callTool(name: unknown, rawInput: unknown) {
+        if (!isToolName(name)) throw new Error(`未知工具：${String(name)}`);
+        let tool: ToolName = name;
+        let input = parseToolInput(tool, rawInput) as Record<string, unknown>;
+        const readTool = ["canvas_get_state", "canvas_get_selection", "canvas_export_snapshot"].includes(tool);
+        if (readTool && (!this.clients.size || !this.canvasState)) throw new Error("当前没有已连接画布");
+        if (tool === "canvas_get_state" || tool === "canvas_export_snapshot") return compactCanvasState(this.canvasState);
+        if (tool === "canvas_get_selection") {
+            const ids = new Set(this.canvasState?.selectedNodeIds || []);
+            return { nodes: (this.canvasState?.nodes || []).filter((node) => ids.has(node.id)).map(compactNode) };
+        }
+        if (tool === "canvas_create_node") {
+            const data = input as { nodeType: CanvasNodeType; title?: string; x?: number; y?: number; width?: number; height?: number; metadata?: Record<string, unknown> };
+            input = { ops: [{ type: "add_node", nodeType: data.nodeType, title: data.title, position: { x: data.x ?? nextCanvasX(this.canvasState), y: data.y ?? 0 }, width: data.width, height: data.height, metadata: data.metadata }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_create_text_node") {
+            const text = input as { text?: string; x?: number; y?: number; title?: string; width?: number; height?: number };
+            input = { ops: [textNodeOp(text, text.x ?? nextCanvasX(this.canvasState), text.y ?? 0)] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_create_text_nodes") {
+            const data = input as { items: Array<{ text: string; title?: string; x?: number; y?: number; width?: number; height?: number }>; x?: number; y?: number; gap?: number; direction?: "row" | "column" };
+            const x = Number(data.x ?? nextCanvasX(this.canvasState));
+            const y = Number(data.y ?? 0);
+            const gap = Number(data.gap ?? 40);
+            input = {
+                ops: data.items.map((item, index) => textNodeOp(item, item.x ?? (data.direction === "row" ? x + index * (340 + gap) : x), item.y ?? (data.direction === "row" ? y : y + index * (240 + gap)))),
+            };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_create_image_prompt_flow") {
+            input = { ops: generationFlowOps({ ...(input as Record<string, unknown>), mode: "image" }, this.canvasState) };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_create_config_node") {
+            const data = input as Record<string, unknown>;
+            const x = Number(data.x ?? nextCanvasX(this.canvasState));
+            const y = Number(data.y ?? 0);
+            const configId = `config-${crypto.randomUUID()}`;
+            const mode = generationMode(data.mode);
+            const prompt = String(data.prompt || "");
+            input = { ops: [configNodeOp(configId, data, x, y), ...(data.autoRun ? [runGenerationOp(configId, mode, prompt)] : [])] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_create_generation_flow") {
+            input = { ops: generationFlowOps(input as Record<string, unknown>, this.canvasState) };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_generate_text" || tool === "canvas_generate_image" || tool === "canvas_generate_video" || tool === "canvas_generate_audio") {
+            input = { ops: generationFlowOps({ ...(input as Record<string, unknown>), mode: tool.replace("canvas_generate_", ""), autoRun: true }, this.canvasState) };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_update_node") {
+            const data = input as { id: string; patch?: Record<string, unknown>; metadata?: Record<string, unknown> };
+            input = { ops: [{ type: "update_node", id: data.id, patch: data.patch, metadata: data.metadata }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_update_node_text") {
+            const data = input as { id: string; text: string; title?: string };
+            input = { ops: [{ type: "update_node", id: data.id, patch: { ...(data.title ? { title: data.title } : {}) }, metadata: { content: data.text, status: "success" } }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_move_nodes") {
+            const data = input as { items: Array<{ id: string; x?: number; y?: number; dx?: number; dy?: number }> };
+            input = {
+                ops: data.items.map((item) => {
+                    const current = findNode(this.canvasState, item.id);
+                    return { type: "update_node", id: item.id, patch: { position: { x: item.x ?? ((current?.position.x || 0) + (item.dx || 0)), y: item.y ?? ((current?.position.y || 0) + (item.dy || 0)) } } };
+                }),
+            };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_resize_node") {
+            const data = input as { id: string; width: number; height: number; freeResize?: boolean };
+            input = { ops: [{ type: "update_node", id: data.id, patch: { width: data.width, height: data.height }, metadata: data.freeResize === undefined ? undefined : { freeResize: data.freeResize } }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_delete_nodes") {
+            input = { ops: [{ type: "delete_node", ids: (input as { ids: string[] }).ids }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_connect_nodes") {
+            const data = input as { connections: Array<{ fromNodeId: string; toNodeId: string }> };
+            input = { ops: data.connections.map((connection) => ({ type: "connect_nodes", ...connection })) };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_select_nodes") {
+            input = { ops: [{ type: "select_nodes", ids: (input as { ids: string[] }).ids }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_set_viewport") {
+            input = { ops: [{ type: "set_viewport", viewport: (input as { viewport: unknown }).viewport }] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool === "canvas_run_generation") {
+            const data = input as { nodeId: string; mode?: string; prompt?: string };
+            input = { ops: [runGenerationOp(data.nodeId, generationMode(data.mode), data.prompt)] };
+            tool = "canvas_apply_ops";
+        }
+        if (tool !== "canvas_apply_ops") throw new Error(`未知工具：${tool}`);
+        if (!this.clients.size) throw new Error("当前没有已连接画布");
+        return await this.requestCanvasTool(tool, input);
+    }
+
+    private async requestCanvasTool(name: ToolName, input: Record<string, unknown>) {
+        const requestId = crypto.randomUUID();
+        const client = this.clients.get(this.canvasState?.clientId || "") || this.clients.values().next().value;
+        if (!client) throw new Error("当前没有已连接画布");
+        sendEvent(client, "tool_call", { requestId, name, input });
+        return await new Promise((resolve, reject) => {
+            const timer = setTimeout(() => {
+                this.pending.delete(requestId);
+                reject(new Error("画布操作超时"));
+            }, 30000);
+            this.pending.set(requestId, { resolve: (value) => (clearTimeout(timer), resolve(value)), reject: (error) => (clearTimeout(timer), reject(error)) });
+        });
+    }
+}
+
+function sendEvent(res: ServerResponse, type: string, payload: unknown) {
+    res.write(`event: ${type}\ndata: ${JSON.stringify(payload)}\n\n`);
+}
+
+function textNodeOp(input: { id?: string; text?: string; title?: string; width?: number; height?: number }, x: number, y: number) {
+    return { type: "add_node", id: input.id, nodeType: "text", title: input.title, position: { x, y }, width: input.width, height: input.height, metadata: { content: input.text || "", status: "success", fontSize: 14 } };
+}
+
+function configNodeOp(id: string, input: Record<string, unknown>, x: number, y: number) {
+    const mode = generationMode(input.mode);
+    const prompt = String(input.prompt || "");
+    return {
+        type: "add_node",
+        id,
+        nodeType: "config",
+        title: String(input.title || generationTitle(mode)),
+        position: { x, y },
+        width: typeof input.width === "number" ? input.width : undefined,
+        height: typeof input.height === "number" ? input.height : undefined,
+        metadata: cleanRecord({
+            generationMode: mode,
+            composerContent: prompt,
+            prompt,
+            status: "idle",
+            model: input.model,
+            size: input.size,
+            quality: input.quality,
+            count: input.count,
+            seconds: input.seconds,
+            vquality: input.vquality,
+            generateAudio: input.generateAudio,
+            watermark: input.watermark,
+            audioVoice: input.audioVoice,
+            audioFormat: input.audioFormat,
+            audioSpeed: input.audioSpeed,
+            audioInstructions: input.audioInstructions,
+        }),
+    };
+}
+
+function generationFlowOps(input: Record<string, unknown>, state: CanvasSnapshot | null) {
+    const mode = generationMode(input.mode);
+    const prompt = String(input.prompt || "");
+    const x = Number(input.x ?? nextCanvasX(state));
+    const y = Number(input.y ?? 0);
+    const textId = `text-${crypto.randomUUID()}`;
+    const configId = `config-${crypto.randomUUID()}`;
+    const referenceNodeIds = Array.isArray(input.referenceNodeIds) ? input.referenceNodeIds.filter((id): id is string => typeof id === "string") : [];
+    const tokens = [`@[node:${textId}]`, ...referenceNodeIds.map((id) => `@[node:${id}]`)];
+    const configInput = { ...input, prompt: tokens.join("\n") };
+    return [
+        textNodeOp({ id: textId, text: prompt, title: String(input.title || "提示词") }, x, y),
+        configNodeOp(configId, configInput, x + 420, y),
+        { type: "connect_nodes", fromNodeId: textId, toNodeId: configId },
+        ...referenceNodeIds.map((fromNodeId) => ({ type: "connect_nodes", fromNodeId, toNodeId: configId })),
+        { type: "select_nodes", ids: [configId] },
+        ...(input.autoRun ? [runGenerationOp(configId, mode, tokens.join("\n"))] : []),
+    ];
+}
+
+function runGenerationOp(nodeId: string, mode: "text" | "image" | "video" | "audio", prompt?: string) {
+    return { type: "run_generation", nodeId, mode, prompt };
+}
+
+function generationMode(value: unknown): "text" | "image" | "video" | "audio" {
+    return value === "text" || value === "video" || value === "audio" ? value : "image";
+}
+
+function generationTitle(mode: "text" | "image" | "video" | "audio") {
+    if (mode === "text") return "文本生成";
+    if (mode === "video") return "视频生成";
+    if (mode === "audio") return "音频生成";
+    return "图片生成";
+}
+
+function findNode(state: CanvasSnapshot | null, id: string): CanvasNode | undefined {
+    return (state?.nodes || []).find((node) => node.id === id);
+}
+
+function cleanRecord(value: Record<string, unknown>) {
+    return Object.fromEntries(Object.entries(value).filter(([, item]) => item !== undefined && item !== ""));
+}

canvas-agent/src/config.ts

@@ -0,0 +1,73 @@
+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 网页画布。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。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 CanvasWorkspaceConfig = { workspacePath: string; activeThreadId?: string; pinnedThreadIds?: string[] };
+export type CanvasAgentConfig = { url: string; token: string; origins?: string[]; canvases?: Record<string, CanvasWorkspaceConfig> };
+
+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 ensureCanvasWorkspace(config: CanvasAgentConfig, canvasId: string) {
+    const id = safeSegment(canvasId || "default");
+    config.canvases ||= {};
+    const current = config.canvases[id];
+    if (current?.workspacePath) {
+        fs.mkdirSync(resolveWorkspacePath(current.workspacePath), { recursive: true });
+        return { canvasId: id, ...current, workspacePath: resolveWorkspacePath(current.workspacePath) };
+    }
+    const workspacePath = path.join(CONFIG_DIR, "codex-workspaces", id);
+    config.canvases[id] = { workspacePath };
+    fs.mkdirSync(workspacePath, { recursive: true });
+    saveConfig(config);
+    return { canvasId: id, workspacePath };
+}
+
+export function updateCanvasWorkspace(config: CanvasAgentConfig, canvasId: string, patch: Partial<CanvasWorkspaceConfig>) {
+    const current = ensureCanvasWorkspace(config, canvasId);
+    const workspacePath = patch.workspacePath ? resolveWorkspacePath(patch.workspacePath) : current.workspacePath;
+    const next = { ...current, ...patch, workspacePath };
+    config.canvases ||= {};
+    config.canvases[current.canvasId] = { workspacePath: next.workspacePath, activeThreadId: next.activeThreadId, pinnedThreadIds: next.pinnedThreadIds };
+    fs.mkdirSync(workspacePath, { recursive: true });
+    saveConfig(config);
+    return { canvasId: current.canvasId, ...config.canvases[current.canvasId] };
+}
+
+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 safeSegment(value: string) {
+    return value.replace(/[^a-zA-Z0-9._-]/g, "-").slice(0, 120) || "default";
+}
+
+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 +1,137 @@
+import express, { type NextFunction, type Request, type Response } from "express";
+
+import { DEFAULT_PORT, ensureCanvasWorkspace, loadConfig, saveConfig, updateCanvasWorkspace, type CanvasAgentConfig } from "./config.js";
+import { CanvasSession } from "./canvas-session.js";
+import { archiveCodexThread, listCodexThreads, readCodexThread, resumeCodexThread, runClaudeTurn, runCodexTurn, startCodexThread, summarizeCodexThread, verifyCodexThreadWorkspace, withAgentPrompt } from "./agents.js";
+import type { AgentAttachment } from "./types.js";
+
+export function startHttpServer() {
+    const config = loadConfig(true);
+    const port = Number(process.env.PORT) || Number(new URL(config.url).port) || DEFAULT_PORT;
+    config.url = `http://127.0.0.1:${port}`;
+    saveConfig(config);
+
+    const session = new CanvasSession();
+    const emit = (type: string, payload: unknown) => session.emitAll(type, payload);
+    const app = express();
+    app.disable("x-powered-by");
+    app.use(express.json({ limit: "30mb" }));
+    app.use((req, res, next) => {
+        const url = requestUrl(req, config);
+        if (!setCors(req, res, url, config)) return void res.status(403).json({ ok: false, error: "origin not allowed" });
+        if (req.method === "OPTIONS") return void res.json({});
+        next();
+    });
+    app.get("/health", (_req, res) => res.json(session.health()));
+    app.get("/config", (_req, res) => res.json({ ok: true, url: config.url, hasToken: true }));
+    app.use((req, res, next) => {
+        if (validToken(req, requestUrl(req, config), config.token)) return next();
+        res.status(401).json({ ok: false, error: "invalid token" });
+    });
+    app.get("/events", (req, res) => session.openEvents(requestUrl(req, config), res));
+    app.post("/canvas/state", (req, res) => {
+        session.updateState(req.body, String(req.query.clientId || "") || undefined);
+        res.json({ ok: true });
+    });
+    app.post("/canvas/result", (req, res) => {
+        session.resolveResult(req.body);
+        res.json({ ok: true });
+    });
+    app.post("/api/tools", route(async (req, res) => res.json({ ok: true, result: await session.callTool(req.body?.name, req.body?.input || {}) })));
+    app.get("/agent/codex/workspace", (req, res) => {
+        const workspace = ensureCanvasWorkspace(config, String(req.query.canvasId || ""));
+        res.json({ ok: true, workspace });
+    });
+    app.get("/agent/codex/threads", route(async (req, res) => {
+        const workspace = ensureCanvasWorkspace(config, String(req.query.canvasId || ""));
+        const result = await listCodexThreads(emit, { cwd: workspace.workspacePath, searchTerm: String(req.query.searchTerm || "") });
+        res.json({ ok: true, workspace, ...result });
+    }));
+    app.post("/agent/codex/threads/new", route(async (req, res) => {
+        const workspace = ensureCanvasWorkspace(config, String(req.body?.canvasId || ""));
+        const thread = await startCodexThread(emit, workspace.workspacePath);
+        const activeThreadId = String((thread as Record<string, unknown>).id || "");
+        updateCanvasWorkspace(config, workspace.canvasId, { activeThreadId });
+        res.json({ ok: true, workspace: { ...workspace, activeThreadId }, thread: summarizeCodexThread(thread), messages: [] });
+    }));
+    app.get("/agent/codex/threads/:threadId", route(async (req, res) => {
+        const workspace = ensureCanvasWorkspace(config, String(req.query.canvasId || ""));
+        const threadId = routeParam(req.params.threadId);
+        res.json({ ok: true, workspace, ...(await readCodexThread(emit, threadId, workspace.workspacePath)) });
+    }));
+    app.post("/agent/codex/threads/:threadId/resume", route(async (req, res) => {
+        const workspace = ensureCanvasWorkspace(config, String(req.body?.canvasId || ""));
+        const threadId = routeParam(req.params.threadId);
+        const result = await resumeCodexThread(emit, threadId, workspace.workspacePath);
+        updateCanvasWorkspace(config, workspace.canvasId, { activeThreadId: threadId });
+        res.json({ ok: true, workspace: { ...workspace, activeThreadId: threadId }, ...result });
+    }));
+    app.post("/agent/codex/threads/:threadId/delete", route(async (req, res) => {
+        const workspace = ensureCanvasWorkspace(config, String(req.body?.canvasId || ""));
+        const threadId = routeParam(req.params.threadId);
+        await archiveCodexThread(emit, threadId, workspace.workspacePath);
+        if (workspace.activeThreadId === threadId) updateCanvasWorkspace(config, workspace.canvasId, { activeThreadId: undefined });
+        res.json({ ok: true });
+    }));
+    app.post("/agent/codex/turn", route(async (req, res) => {
+        const attachments = Array.isArray(req.body?.attachments) ? (req.body.attachments as AgentAttachment[]) : [];
+        const workspace = ensureCanvasWorkspace(config, String(req.body?.canvasId || ""));
+        let threadId = String(req.body?.threadId || workspace.activeThreadId || "");
+        if (!threadId) {
+            const thread = await startCodexThread(emit, workspace.workspacePath);
+            threadId = String((thread as Record<string, unknown>).id || "");
+            updateCanvasWorkspace(config, workspace.canvasId, { activeThreadId: threadId });
+        } else if (threadId !== workspace.activeThreadId) {
+            await verifyCodexThreadWorkspace(emit, threadId, workspace.workspacePath);
+            updateCanvasWorkspace(config, workspace.canvasId, { activeThreadId: threadId });
+        }
+        void runCodexTurn(withAgentPrompt(String(req.body?.prompt || "")), emit, attachments, { threadId, cwd: workspace.workspacePath });
+        res.json({ ok: true, threadId });
+    }));
+    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: codex mcp add infinite-canvas -- npx -y @basketikun/canvas-agent mcp");
+    });
+}
+
+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));
+}

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 +1,129 @@
+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 = [
+    "canvas_get_state",
+    "canvas_get_selection",
+    "canvas_export_snapshot",
+    "canvas_apply_ops",
+    "canvas_create_node",
+    "canvas_create_text_node",
+    "canvas_create_text_nodes",
+    "canvas_create_config_node",
+    "canvas_create_image_prompt_flow",
+    "canvas_create_generation_flow",
+    "canvas_generate_text",
+    "canvas_generate_image",
+    "canvas_generate_video",
+    "canvas_generate_audio",
+    "canvas_update_node",
+    "canvas_update_node_text",
+    "canvas_move_nodes",
+    "canvas_resize_node",
+    "canvas_delete_nodes",
+    "canvas_connect_nodes",
+    "canvas_select_nodes",
+    "canvas_set_viewport",
+    "canvas_run_generation",
+] 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 = {
+    canvas_get_state: z.object({}).passthrough(),
+    canvas_get_selection: z.object({}).passthrough(),
+    canvas_export_snapshot: z.object({}).passthrough(),
+    canvas_apply_ops: z.object({ ops: z.array(canvasOpSchema) }),
+    canvas_create_node: z.object({ nodeType: nodeTypeSchema, title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), metadata: recordSchema.optional() }),
+    canvas_create_text_node: z.object({ text: z.string().optional(), x: z.number().optional(), y: z.number().optional(), title: z.string().optional(), width: z.number().optional(), height: z.number().optional() }),
+    canvas_create_text_nodes: z.object({ items: z.array(textNodeSchema).min(1), x: z.number().optional(), y: z.number().optional(), gap: z.number().optional(), direction: z.enum(["row", "column"]).optional() }),
+    canvas_create_config_node: z.object({ prompt: z.string().optional(), mode: generationModeSchema.optional(), title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
+    canvas_create_image_prompt_flow: z.object({ prompt: z.string(), x: z.number().optional(), y: z.number().optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
+    canvas_create_generation_flow: generationFlowSchema.extend({ mode: generationModeSchema.optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
+    canvas_generate_text: generationFlowSchema.merge(generationOptionsSchema),
+    canvas_generate_image: generationFlowSchema.merge(generationOptionsSchema),
+    canvas_generate_video: generationFlowSchema.merge(generationOptionsSchema),
+    canvas_generate_audio: generationFlowSchema.merge(generationOptionsSchema),
+    canvas_update_node: z.object({ id: z.string(), patch: recordSchema.optional(), metadata: recordSchema.optional() }),
+    canvas_update_node_text: z.object({ id: z.string(), text: z.string(), title: z.string().optional() }),
+    canvas_move_nodes: z.object({ items: z.array(z.object({ id: z.string(), x: z.number().optional(), y: z.number().optional(), dx: z.number().optional(), dy: z.number().optional() })).min(1) }),
+    canvas_resize_node: z.object({ id: z.string(), width: z.number(), height: z.number(), freeResize: z.boolean().optional() }),
+    canvas_delete_nodes: z.object({ ids: z.array(z.string()).min(1) }),
+    canvas_connect_nodes: z.object({ connections: z.array(z.object({ fromNodeId: z.string(), toNodeId: z.string() })).min(1) }),
+    canvas_select_nodes: z.object({ ids: z.array(z.string()) }),
+    canvas_set_viewport: z.object({ viewport: viewportSchema }),
+    canvas_run_generation: z.object({ nodeId: z.string(), mode: generationModeSchema.optional(), prompt: z.string().optional() }),
+} satisfies Record<ToolName, z.AnyZodObject>;
+
+export const toolDescriptions: Record<ToolName, string> = {
+    canvas_get_state: "读取当前网页画布的节点、连线、选区和视口。",
+    canvas_get_selection: "读取当前网页画布选中的节点。",
+    canvas_export_snapshot: "导出当前画布快照，用于理解布局。",
+    canvas_apply_ops: "批量操作当前网页画布。ops 支持 add_node、update_node、delete_node、delete_connections、connect_nodes、set_viewport、select_nodes、run_generation。",
+    canvas_create_node: "创建任意类型节点：text、image、config、video、audio。适合创建占位图、媒体占位、配置节点或自定义 metadata 节点。",
+    canvas_create_text_node: "在当前画布创建单个文本节点。",
+    canvas_create_text_nodes: "批量创建文本节点，适合生成标题、段落、脚本、说明等内容块。",
+    canvas_create_config_node: "创建生成配置节点，可指定 text/image/video/audio 模式和生成参数，可选择立即触发生成。",
+    canvas_create_image_prompt_flow: "创建提示词文本节点和图片生成配置节点，并自动连线，可选择立即触发生图。",
+    canvas_create_generation_flow: "创建通用生成流程：提示词文本节点、生成配置节点、参考节点连线，可用于文案、生图、视频或音频。",
+    canvas_generate_text: "创建通用文本生成流程并立即触发生成。",
+    canvas_generate_image: "创建通用图片生成流程并立即触发生成。",
+    canvas_generate_video: "创建通用视频生成流程并立即触发生成。",
+    canvas_generate_audio: "创建通用音频生成流程并立即触发生成。",
+    canvas_update_node: "更新节点基础字段或 metadata。",
+    canvas_update_node_text: "更新文本节点内容和标题。",
+    canvas_move_nodes: "移动一个或多个节点，支持绝对坐标或 dx/dy 偏移。",
+    canvas_resize_node: "调整节点尺寸。",
+    canvas_delete_nodes: "删除指定节点及相关连线。",
+    canvas_connect_nodes: "批量连接节点。",
+    canvas_select_nodes: "设置当前选中节点。",
+    canvas_set_viewport: "调整画布视口。",
+    canvas_run_generation: "触发指定节点生成，通常用于配置节点或文本/图片/视频/音频节点。",
+};

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 = { name?: string; type?: string; dataUrl?: string };

canvas-agent/tsconfig.json

@@ -0,0 +1,14 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "NodeNext",
+    "moduleResolution": "NodeNext",
+    "strict": true,
+    "esModuleInterop": true,
+    "declaration": true,
+    "outDir": "dist",
+    "rootDir": "src",
+    "skipLibCheck": true
+  },
+  "include": ["src/**/*.ts"]
+}

config/config.go

@@ -1,48 +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"`
-	LinuxDoAuthorizeURL string `env:"LINUX_DO_AUTHORIZE_URL" envDefault:"https://connect.linux.do/oauth2/authorize"`
-	LinuxDoTokenURL     string `env:"LINUX_DO_TOKEN_URL" envDefault:"https://connect.linux.do/oauth2/token"`
-	LinuxDoUserInfoURL  string `env:"LINUX_DO_USERINFO_URL" envDefault:"https://connect.linux.do/api/user"`
-}
-
-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 +2,6 @@ services:
   app:
     image: ghcr.io/basketikun/infinite-canvas:latest
     container_name: infinite-canvas
-    env_file:
-      - .env
-    volumes:
-      - ./data:/app/data
     ports:
       - "3000:3000"
     restart: unless-stopped

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

@@ -1,195 +0,0 @@
-# 后端数据库说明
-
-本文档只记录后端当前已经使用的主要数据表。
-
-## 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`
-- `credit_logs`
-- `prompts`
-- `assets`
-- `settings`
-
-后续新增表时再同步补充本文档，未实际使用的规划表不提前写入。
-
-### users
-
-系统用户表。用户基础信息、角色、算力点余额和第三方登录标识放在该表中。
-
-| 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                    |
-| `aff_code`      | string | 用户自己的邀请码，唯一索引            |
-| `aff_count`     | number | 已邀请用户数量，冗余统计字段           |
-| `inviter_id`    | string | 邀请人用户 ID                 |
-| `github_id`     | string | GitHub 用户 ID               |
-| `linux_do_id`   | string | Linux.do 用户 ID            |
-| `wechat_id`     | string | 微信用户 ID                   |
-| `status`        | string | 用户状态：`active`、`ban`       |
-| `last_login_at` | string | 最近登录时间                   |
-| `extra`         | json   | 扩展信息，第三方资料按平台命名空间保存，如 `linuxDo` |
-| `created_at`    | string | 创建时间                     |
-| `updated_at`    | string | 更新时间                     |
-
-### prompts
-
-提示词表。用于保存公开提示词、内置 GitHub 系统提示词、分类和预览内容。
-
-| 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                         |
-| `preview`    | text   | Markdown 展示内容，可包含文本、图片、视频链接等 |
-| `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。当前用于后台素材库。
-
-| 字段               | 类型     | 说明                            |
-|------------------|--------|-------------------------------|
-| `id`             | string | 主键                            |
-| `title`          | string | 标题                            |
-| `type`           | string | 素材类型：`text`、`image`、`video` 等 |
-| `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                    |
-| `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、登录开关等。
-`private.value` 常放渠道密钥、登录密钥、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 |
-| `auth` | object | 公开登录配置 |
-
-`modelChannel` 当前字段：
-
-| 字段                | 类型       | 说明             |
-|-------------------|----------|----------------|
-| `availableModels` | string[] | 系统可用模型列表       |
-| `modelCosts` | object[] | 模型算力点配置       |
-| `defaultModel`    | string   | 默认模型           |
-| `defaultImageModel` | string | 默认图片模型         |
-| `defaultVideoModel` | string | 默认视频模型         |
-| `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 |
-
-`modelCosts` 每项字段：
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `model` | string | 模型名称 |
-| `credits` | number | 每次后端模型接口调用前预扣的算力点，未配置默认不扣除 |
-
-`auth.linuxDo` 当前字段：
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `enabled` | bool | 是否开启 Linux.do 登录 |
-
-`private.value` 当前字段：
-
-| 字段         | 类型       | 说明       |
-|------------|----------|----------|
-| `channels` | object[] | 模型渠道配置列表 |
-| `promptSync` | object | GitHub 远程提示词定时同步配置 |
-| `auth` | object | 私有登录配置 |
-
-`channels` 每项字段：
-
-| 字段       | 类型       | 说明       |
-|----------|----------|----------|
-| `protocol` | string | 协议，当前支持 `openai` |
-| `name`   | string   | 渠道名称     |
-| `baseUrl` | string  | 渠道接口地址   |
-| `apiKey` | string   | 渠道密钥     |
-| `models` | string[] | 渠道可用模型列表 |
-| `weight` | number   | 渠道权重，同一模型命中多个渠道时按权重随机 |
-| `enabled` | bool    | 是否启用     |
-| `remark` | string   | 备注       |
-
-`promptSync` 字段：
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `enabled` | bool | 是否开启定时同步，默认开启 |
-| `cron` | string | Cron 表达式，默认每 5 分钟 |
-
-`auth.linuxDo` 当前字段：
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `clientId` | string | Linux.do OAuth App Client ID |
-| `clientSecret` | string | Linux.do OAuth App Client Secret，后台返回时隐藏 |
-
-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。
-
-### credit_logs
-
-用户算力点变更流水表。当前记录后台手动调整、模型调用预扣和模型调用失败返还。
-
-| 字段           | 类型     | 说明                       |
-|--------------|--------|--------------------------|
-| `id`         | string | 主键                       |
-| `user_id`    | string | 关联用户 ID                  |
-| `type`       | string | 类型：`admin_adjust`、`ai_consume`、`ai_refund` |
-| `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 | 关联业务 ID，可为空                |
-| `remark`     | string | 备注                       |
-| `extra`      | json   | 扩展信息                     |
-| `created_at` | string | 创建时间                     |
-
-`type` 当前取值：
-
-| 值 | 说明 |
-| --- | --- |
-| `admin_adjust` | 后台手动调整 |
-| `ai_consume` | 调用后端模型接口消费 |
-| `ai_refund` | 后端模型接口调用失败返还 |

docs/bun.lock

@@ -0,0 +1,936 @@
+{
+  "lockfileVersion": 1,
+  "configVersion": 1,
+  "workspaces": {
+    "": {
+      "name": "docs",
+      "dependencies": {
+        "@orama/orama": "^3.1.18",
+        "fumadocs-core": "16.9.3",
+        "fumadocs-mdx": "15.0.10",
+        "fumadocs-ui": "16.9.3",
+        "lucide-react": "^1.17.0",
+        "next": "16.2.6",
+        "react": "^19.2.6",
+        "react-dom": "^19.2.6",
+        "tailwind-merge": "^3.6.0",
+      },
+      "devDependencies": {
+        "@tailwindcss/postcss": "^4.3.0",
+        "@types/mdx": "^2.0.13",
+        "@types/node": "^25.9.1",
+        "@types/react": "^19.2.15",
+        "@types/react-dom": "^19.2.3",
+        "postcss": "^8.5.15",
+        "serve": "^14.2.6",
+        "tailwindcss": "^4.3.0",
+        "typescript": "^6.0.3",
+      },
+    },
+  },
+  "packages": {
+    "@alloc/quick-lru": ["@alloc/quick-lru@5.2.0", "", {}, "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw=="],
+
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+
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+
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+
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+
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+    "web-namespaces": ["web-namespaces@2.0.1", "", {}, "sha512-bKr1DkiNa2krS7qxNtdrtHAmzuYGFQLiQ13TsorsdT6ULTkPLKuu5+GsFpDlg6JFjUTwX2DyhMPG2be8uPrqsQ=="],
+
+    "which": ["which@2.0.2", "", { "dependencies": { "isexe": "^2.0.0" }, "bin": { "node-which": "./bin/node-which" } }, "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA=="],
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+    "widest-line": ["widest-line@4.0.1", "", { "dependencies": { "string-width": "^5.0.1" } }, "sha512-o0cyEG0e8GPzT4iGHphIOh0cJOV8fivsXxddQasHPHfoZf1ZexrfeA21w2NaEN1RHE+fXlfISmOE8R9N3u3Qig=="],
+
+    "wrap-ansi": ["wrap-ansi@8.1.0", "", { "dependencies": { "ansi-styles": "^6.1.0", "string-width": "^5.0.1", "strip-ansi": "^7.0.1" } }, "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ=="],
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+    "zod": ["zod@4.4.3", "", {}, "sha512-ytENFjIJFl2UwYglde2jchW2Hwm4GJFLDiSXWdTrJQBIN9Fcyp7n4DhxJEiWNAJMV1/BqWfW/kkg71UDcHJyTQ=="],
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+    "zwitch": ["zwitch@2.0.4", "", {}, "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A=="],
+
+    "@radix-ui/react-collection/@radix-ui/react-slot": ["@radix-ui/react-slot@1.2.3", "", { "dependencies": { "@radix-ui/react-compose-refs": "1.1.2" }, "peerDependencies": { "@types/react": "*", "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc" }, "optionalPeers": ["@types/react"] }, "sha512-aeNmHnBxbi2St0au6VBVC7JXFlhLlOnvIIlePNniyUNAClzmtAUEY8/pBiK3iHjufOlwA+c20/8jngo7xcrg8A=="],
+
+    "@radix-ui/react-dialog/@radix-ui/react-slot": ["@radix-ui/react-slot@1.2.3", "", { "dependencies": { "@radix-ui/react-compose-refs": "1.1.2" }, "peerDependencies": { "@types/react": "*", "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc" }, "optionalPeers": ["@types/react"] }, "sha512-aeNmHnBxbi2St0au6VBVC7JXFlhLlOnvIIlePNniyUNAClzmtAUEY8/pBiK3iHjufOlwA+c20/8jngo7xcrg8A=="],
+
+    "@radix-ui/react-popover/@radix-ui/react-slot": ["@radix-ui/react-slot@1.2.3", "", { "dependencies": { "@radix-ui/react-compose-refs": "1.1.2" }, "peerDependencies": { "@types/react": "*", "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc" }, "optionalPeers": ["@types/react"] }, "sha512-aeNmHnBxbi2St0au6VBVC7JXFlhLlOnvIIlePNniyUNAClzmtAUEY8/pBiK3iHjufOlwA+c20/8jngo7xcrg8A=="],
+
+    "@radix-ui/react-primitive/@radix-ui/react-slot": ["@radix-ui/react-slot@1.2.3", "", { "dependencies": { "@radix-ui/react-compose-refs": "1.1.2" }, "peerDependencies": { "@types/react": "*", "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc" }, "optionalPeers": ["@types/react"] }, "sha512-aeNmHnBxbi2St0au6VBVC7JXFlhLlOnvIIlePNniyUNAClzmtAUEY8/pBiK3iHjufOlwA+c20/8jngo7xcrg8A=="],
+
+    "@tailwindcss/oxide-wasm32-wasi/@emnapi/core": ["@emnapi/core@1.10.0", "", { "dependencies": { "@emnapi/wasi-threads": "1.2.1", "tslib": "^2.4.0" }, "bundled": true }, "sha512-yq6OkJ4p82CAfPl0u9mQebQHKPJkY7WrIuk205cTYnYe+k2Z8YBh11FrbRG/H6ihirqcacOgl2BIO8oyMQLeXw=="],
+
+    "@tailwindcss/oxide-wasm32-wasi/@emnapi/runtime": ["@emnapi/runtime@1.10.0", "", { "dependencies": { "tslib": "^2.4.0" }, "bundled": true }, "sha512-ewvYlk86xUoGI0zQRNq/mC+16R1QeDlKQy21Ki3oSYXNgLb45GV1P6A0M+/s6nyCuNDqe5VpaY84BzXGwVbwFA=="],
+
+    "@tailwindcss/oxide-wasm32-wasi/@emnapi/wasi-threads": ["@emnapi/wasi-threads@1.2.1", "", { "dependencies": { "tslib": "^2.4.0" }, "bundled": true }, "sha512-uTII7OYF+/Mes/MrcIOYp5yOtSMLBWSIoLPpcgwipoiKbli6k322tcoFsxoIIxPDqW01SQGAgko4EzZi2BNv2w=="],
+
+    "@tailwindcss/oxide-wasm32-wasi/@napi-rs/wasm-runtime": ["@napi-rs/wasm-runtime@1.1.4", "", { "dependencies": { "@tybys/wasm-util": "^0.10.1" }, "peerDependencies": { "@emnapi/core": "^1.7.1", "@emnapi/runtime": "^1.7.1" }, "bundled": true }, "sha512-3NQNNgA1YSlJb/kMH1ildASP9HW7/7kYnRI2szWJaofaS1hWmbGI4H+d3+22aGzXXN9IJ+n+GiFVcGipJP18ow=="],
+
+    "@tailwindcss/oxide-wasm32-wasi/@tybys/wasm-util": ["@tybys/wasm-util@0.10.2", "", { "dependencies": { "tslib": "^2.4.0" }, "bundled": true }, "sha512-RoBvJ2X0wuKlWFIjrwffGw1IqZHKQqzIchKaadZZfnNpsAYp2mM0h36JtPCjNDAHGgYez/15uMBpfGwchhiMgg=="],
+
+    "@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/backend/canvas-data-structure.mdx

@@ -1,3 +1,8 @@
+---
+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。
@@ -217,68 +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/backend/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。第三方提示词由 Next.js route 拉取并缓存在运行实例内存中；WebDAV 可选择前端直连或 Next.js 转发。
+
+## 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/`
+- 改提示词缓存或 WebDAV 代理：主要看 `web/src/app/api/` 和 `web/src/app/webdav-proxy/`
+- 改文档站内容：主要看 `docs/content/docs/`

docs/content/docs/backend/meta.json

@@ -0,0 +1,9 @@
+{
+  "title": "开发文档",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "local-development",
+    "canvas-data-structure"
+  ]
+}

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。
@@ -20,7 +25,7 @@
 - 当文本节点已有内容时，输入框用于填写想把本段文本修改成什么；点击发送后，会在右侧生成新的文本节点，并自动连接原节点和新节点。
 - 输入内容可以手写，也可以从提示词库选择。
 - 对话框里的模型下拉来自全局配置里已拉取的模型列表；选择结果只作用于当前节点，不会修改其它节点或全局默认模型。
-- 如果下拉中没有模型，需要先打开配置弹窗拉取模型列表，并设置默认生图模型和默认文本模型。
+- 如果下拉中没有模型，需要先打开配置弹窗拉取模型列表，并设置默认生图模型和默认文本模型。火山方舟 Agent Plan 若提示不支持 `/models`，请手动填写模型名。
 
 ### 用文本节点生成图片
 
@@ -45,7 +50,11 @@
 - 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。
-- 视频生成接口使用 OpenAI 兼容的 `POST /v1/videos`、`GET /v1/videos/{id}` 和 `GET /v1/videos/{id}/content`。
+- 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
 

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/meta.json

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

docs/content/docs/overview/docker.mdx

@@ -0,0 +1,52 @@
+---
+title: Docker 部署
+description: 使用 Docker Compose 部署无限画布
+---
+
+# Docker 部署
+
+如果你希望在自己的机器或服务器上运行项目，可以直接使用 Docker Compose。
+
+## 使用发布镜像
+
+```bash
+git clone git@github.com:basketikun/infinite-canvas.git
+cd infinite-canvas
+docker compose up -d
+```
+
+启动后访问：
+
+```text
+http://localhost:3000
+```
+
+## 本地构建镜像
+
+如果需要基于当前源码构建镜像：
+
+```bash
+docker compose -f docker-compose.local.yml up -d --build
+```
+
+## 文档站镜像
+
+文档站位于 `docs/` 目录，按带服务端能力的 Next.js standalone 应用单独构建，不打进主应用镜像。
+
+使用发布镜像：
+
+```bash
+cd docs
+docker compose up -d
+```
+
+基于当前源码本地构建：
+
+```bash
+cd docs
+docker compose -f docker-compose.local.yml up -d --build
+```
+
+## 数据说明
+
+当前主应用镜像只启动 Next.js。画布、我的素材、生成记录和 AI API Key 默认保存在浏览器本地；第三方提示词由 Next.js route 拉取后缓存在运行实例内存里，不需要额外挂载数据目录。

docs/content/docs/overview/features.mdx

@@ -1,3 +1,8 @@
+---
+title: 功能介绍
+description: 当前项目已实现的主要功能
+---
+
 # 功能介绍
 
 本文档记录当前项目已经实现的主要功能。
@@ -25,7 +30,7 @@
 
 目前画布中有三类节点：
 
-- 图片节点：展示上传图片、生成图片或素材库图片。
+- 图片节点：展示上传图片、生成图片或我的素材图片。
 - 文本节点：保存提示词、说明文案、AI 文字回答等文本内容。
 - 生成配置节点：汇总上游文本和图片，统一配置模型、比例、数量后批量生成图片或文本。
 
@@ -52,12 +57,23 @@
 
 ## AI 生成
 
-项目通过前端直接请求 OpenAI 兼容接口：
+项目默认使用前台直连：前端使用浏览器本地配置的 Base URL、API Key 和 Model 直接请求 OpenAI 兼容接口，不再通过项目服务端转发 AI 请求。
+
+OpenAI 兼容图像和文本能力继续复用现有接口：
 
 - `/v1/images/generations`：文生图。
 - `/v1/images/edits`：图生图/参考图编辑。
-- `/v1/chat/completions`：文本问答和带图问答。
-- `/v1/models`：读取模型列表。
+- `/v1/responses`：文本问答、带图问答和在线 Agent 工具调用。
+- `/v1/models`：读取模型列表；火山方舟 Agent Plan 专属 `/api/plan/v3` 当前未提供 OpenAI `/models` 模型列表接口，需要手动填写模型名。
+
+视频能力支持两类接口：
+
+- OpenAI 风格视频：`POST /v1/videos`、`GET /v1/videos/{id}`、`GET /v1/videos/{id}/content`。
+- 火山方舟 Agent Plan / Seedance 2.0：Base URL 使用 `https://ark.cn-beijing.volces.com/api/plan/v3`，创建任务为 `POST /contents/generations/tasks`，查询任务为 `GET /contents/generations/tasks/{id}`，成功结果读取 `content.video_url`。
+
+Base URL 如果已经以 `/v1`、`/api/v3` 或 `/api/plan/v3` 结尾，系统不会再追加 `/v1`。因此 cpa 反代或火山方舟 Agent Plan 可以继续通过现有 Base URL + API Key + Model 方式配置，不需要新增火山生图 Provider。
+
+配置弹窗里的“拉取模型列表”会尝试真实请求 OpenAI `/models`，不会为 Agent Plan 伪造模型结果。如果火山方舟 Agent Plan 返回 404，请手动增加 `doubao-seedance-2.0` 或文档列出的其他模型名。
 
 可配置项：
 
@@ -67,9 +83,13 @@
 - 图片质量。
 - 图片比例。
 - 生成数量。
+- 视频模型。
+- 视频比例、清晰度、时长、生成声音和水印。
 
 普通图片/文本节点可以直接输入提示词生成结果。生成配置节点可以读取上游节点内容，并按节点自己的配置批量生成多个图片或文本结果。生成配置节点支持预览当前提示词和参考图输入，并调整输入顺序。
 
+视频生成可从文本节点读取 prompt，从图片节点读取参考图，从视频节点读取参考视频，从音频节点读取参考音频。Seedance 2.0 支持最多 9 张参考图、3 个参考视频、3 个参考音频；分辨率支持 `480p`、`720p`、`1080p`（fast 模型不支持 `1080p`），比例支持 `16:9`、`4:3`、`1:1`、`3:4`、`9:16`、`21:9`、`adaptive`，时长支持 4-15 秒或智能时长。生成成功后会把视频插入画布为视频节点并使用原生播放器预览。参考视频和参考音频优先使用公网可访问 URL；本地素材会以前端可读取的数据传给兼容接口，是否支持取决于具体上游。
+
 ## 画布助手
 
 画布右侧助手面板支持：
@@ -98,15 +118,14 @@
 - 复制提示词。
 - 把提示词加入“我的素材”。
 
-后台提示词管理支持：
+提示词管理支持：
 
 - 查询提示词。
-- 新增、编辑、删除提示词。
 - 按分组和标签筛选。
 - 查看远程提示词源。
-- 同步内置远程提示词源。
+- 触发读取内置远程提示词源。
 
-当前内置远程源包括多个 GPT Image / GPT-4o / Nano Banana Pro 相关提示词仓库。
+当前内置远程源包括多个 GPT Image / GPT-4o / Nano Banana Pro 相关提示词仓库，由 Next.js route 拉取并缓存在当前运行实例内存中。
 
 ## 素材
 
@@ -120,47 +139,19 @@
 - 分页浏览。
 - 复制文本素材。
 - 下载图片素材。
-- 从提示词库、画布节点和服务器素材库加入素材。
+- 从提示词库和画布节点加入素材。
 - 在画布中插入素材。
 
-“素材库”是服务器素材库，支持：
+## 配置和同步
 
-- 按标题搜索。
-- 按类型筛选。
-- 按标签筛选。
-- 查看素材详情。
-- 复制文本或图片链接。
-- 加入“我的素材”。
-- 在画布中插入素材。
-
-后台素材库管理支持：
-
-- 查询素材。
-- 新增、编辑、删除素材。
-- 按类型和标签筛选。
-
-## 账号和后台
-
-- 注册功能暂时关闭。
-- 仅允许管理员账号登录。
-- 支持 JWT 会话。
-- `/api/auth/me` 可读取当前用户，未登录时返回访客用户。
-- 首次启动时可根据环境变量创建默认管理员。
-- 管理员后台目前包含提示词管理和素材库管理。
-- 后端已有用户管理接口，但前端暂未实现用户管理页面。
-
-## 后端能力
-
-- Gin 提供 API 服务。
-- Docker 运行时由 Next.js 提供页面入口，`/api/*` 请求代理到内部 Go 服务。
-- GORM 管理数据库连接和自动迁移。
-- 支持 SQLite、MySQL、PostgreSQL。
-- 数据库保存用户、提示词分组、提示词和服务器素材。
-- 业务接口统一返回 `{ code, data, msg }`。
+- 当前版本不需要账号登录，也不再提供后台管理页面。
+- 配置与用户偏好弹窗支持多个 OpenAI 兼容渠道、默认模型、生成偏好和 WebDAV 同步设置。
+- 第三方提示词和 WebDAV 可使用少量 Next.js route，AI 接口不经过项目后端代理。
 
 ## 当前限制
 
 - 画布项目和“我的素材”目前只保存在浏览器本地，不会随账号同步。
-- AI API Key 目前保存在浏览器本地，并由浏览器直接请求配置的 OpenAI 兼容接口。
-- 服务器素材库目前主要保存 URL 或文本，暂未提供文件上传接口。
+- AI API Key 保存在浏览器本地，并由浏览器直接请求配置的 OpenAI 兼容接口；只适合个人或可信环境使用。
+- Seedance 本地参考视频/音频更建议使用公网可访问 URL；上游是否接受前端传入的本地数据取决于具体兼容接口。
+- Seedance 返回远程视频 URL 时，前端会尽量下载为本地 Blob 持久化；如果因 CORS 或网络限制无法下载，会保留远程 URL，后续是否可播放取决于上游 URL 的有效期。
 - 画布更适合桌面端使用，移动端触控体验还未系统完善。

docs/content/docs/overview/meta.json

@@ -0,0 +1,13 @@
+{
+  "title": "项目介绍",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "quick-start",
+    "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` 会通过 Next.js route 拉取并缓存在内存中。
+- 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；第三方提示词缓存会随 Render 实例重启而清空，下次访问会重新拉取。
+- 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

@@ -1,3 +1,8 @@
+---
+title: 第三方 GitHub 提示词仓库
+description: 当前已接入同步逻辑的第三方提示词仓库
+---
+
 # 第三方 GitHub 提示词仓库
 
 | 地址 | 状态 |

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 +1,11 @@
+{
+  "title": "项目进度",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "[更新日志](/docs/progress/changelog)",
+    "local-agent-integration-plan",
+    "pending-test",
+    "todo"
+  ]
+}

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

@@ -0,0 +1,7 @@
+---
+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
+

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/donate.mdx

@@ -0,0 +1,25 @@
+---
+title: 打赏支持
+description: 支持无限画布项目继续维护
+---
+
+# 打赏支持
+
+如果本项目对你有帮助，欢迎通过打赏、Star、提供AI订阅账号等方式支持项目继续维护。
+
+项目开发大量依赖 Codex、Claude 等 AI 编程工具辅助写代码、排查问题和整理文档，这些工具需要持续付费。你的打赏会优先用于购买 AI 开发工具、模型服务和项目维护相关资源，帮助项目继续迭代。
+
+## 支持方式
+
+支持方式包括但不限于：
+
+- 给 GitHub 仓库点 Star，帮助项目被更多人看到。
+- 金额打赏，用于支持 AI 工具订阅、模型服务和项目维护成本。
+- Codex、Claude 等 AI 编程工具订阅账号支持，帮助维护者持续使用 AI 辅助开发。
+
+<div className="not-prose mt-6 flex flex-wrap items-center gap-3">
+  <span className="text-lg font-semibold text-fd-foreground">赞助地址：</span>
+  <a href="https://ifdian.net/a/basketikun" target="_blank" rel="noreferrer" className="inline-flex">
+    <img src="https://img.shields.io/badge/%E7%88%B1%E5%8F%91%E7%94%B5-%E8%B5%9E%E5%8A%A9%E4%BD%9C%E8%80%85-946ce6?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0id2hpdGUiPjxwYXRoIGQ9Ik0xMiAyMS4zNWwtMS40NS0xLjMyQzUuNCAxNS4zNiAyIDEyLjI4IDIgOC41IDIgNS40MiA0LjQyIDMgNy41IDNjMS43NCAwIDMuNDEuODEgNC41IDIuMDlDMTMuMDkgMy44MSAxNC43NiAzIDE2LjUgMyAxOS41OCAzIDIyIDUuNDIgMjIgOC41YzAgMy43OC0zLjQgNi44Ni04LjU1IDExLjU0TDEyIDIxLjM1eiIvPjwvc3ZnPg==&logoColor=white" alt="爱发电赞助" />
+  </a>
+</div>

docs/content/docs/support/meta.json

@@ -0,0 +1,10 @@
+{
+  "title": "支持与安全",
+  "root": true,
+  "defaultOpen": true,
+  "pages": [
+    "security",
+    "donate",
+    "sponsor"
+  ]
+}

docs/content/docs/support/security.mdx

@@ -0,0 +1,35 @@
+---
+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 渠道配置或代理接口。
+
+## 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 代理、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 +1,27 @@
+---
+title: 广告赞助
+description: 广告赞助、项目露出和社区推广说明
+---
+
+# 广告赞助
+
+如果你希望在项目文档、README 或相关页面获得赞助露出，可以直接通过邮箱联系项目维护者沟通位置、周期和展示形式。
+
+## 适合的赞助内容
+
+- AI 工具、模型服务、API 服务或开发者工具。
+- 与图片、视频、文本生成工作流相关的产品。
+- 适合开源项目用户和 AI 创作者使用的服务。
+
+## 建议提供的信息
+
+- 品牌或产品名称。
+- 希望展示的位置和周期。
+- 需要展示的链接、文案和素材。
+- 预算区间和合作方式。
+
+## 联系方式
+
+请直接发送邮件至 [1844025705@qq.com](mailto:1844025705@qq.com)，并在邮件标题中注明“广告赞助”。
+
+如果已经有展示素材或投放计划，可以在邮件中一并说明。

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/index.md

@@ -0,0 +1,42 @@
+# 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/backend/local-development)
+- [画布数据结构](/docs/backend/canvas-data-structure)
+
+## 商务合作
+
+- [开源协议](/docs/business/license)
+- [贡献者协议](/docs/business/cla)
+- [商务合作](/docs/business/business)
+
+## 支持与安全
+
+- [漏洞提交](/docs/support/security)
+- [打赏支持](/docs/support/donate)
+- [广告赞助](/docs/support/sponsor)
+
+## 项目进度
+
+- [更新日志](/docs/progress/changelog)
+- [待测试](/docs/progress/pending-test)
+- [TODO](/docs/progress/todo)
+
+## 说明
+
+- 当前画布项目和“我的素材”主要保存在浏览器本地，跨设备可自行配置 WebDAV 同步。
+- AI API Key 保存在浏览器本地，并由前端直接请求 OpenAI 兼容接口。

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

@@ -1,16 +0,0 @@
-# 待测试
-
-- 未登录状态下，画布右上角不再显示用户头像菜单、用户名称、算力点余额和退出登录入口，改为显示登录入口；快捷键入口仍可直接打开。
-- 生图工作台的图片参数区复用画布里的紧凑版图像设置面板，尺寸、质量、生成张数的交互保持一致；工作台仍保留独立的模型选择。
-- 视频设置抽成画布和视频创作台共用的紧凑面板，清晰度、尺寸、秒数按固定网格选择并支持手动输入；尺寸选择 `auto` 时请求不传 `size`。
-- 修复画布和生图工作台选择图片尺寸后，请求图片生成/编辑接口未携带 `size` 参数的问题；`auto` 不传，其余比例或像素尺寸会随请求发送。
-- 修复生图工作台和画布生图请求中 `quality` 参数可能传入上游不支持值导致 400 的问题；请求前会归一化质量枚举，`auto` 或异常值不再发送给上游。
-- 管理后台新增/编辑渠道时，渠道可用模型支持通过弹窗按“新获取、已有”分组选择，并可在弹窗内手动增加模型或拉取模型列表后再写回表单。
-- 管理后台编辑渠道时，API Key 留空不再触发必填校验，表示沿用已保存的密钥；新增渠道仍要求填写 API Key。
-- 管理后台公开配置里的系统可用模型候选项改为由已启用渠道中选择的模型合并去重生成，最终开放哪些模型仍由公开配置里手动勾选。
-- 视频生成请求参数对齐 `grok-imagine-video` 接口：使用 `resolution_name`、`preset=normal`、`input_reference[]`，支持清晰度、尺寸、秒数快捷选择和手动输入，并支持最多 7 张参考图。
-- 画布视频设置浮层改为挂载到页面根层级，避免被节点悬浮工具栏遮挡。
-- 视频清晰度输入框改为只输入数字，提交请求时再拼接 `p` 单位。
-- 视频生成前端会识别后端 `{ code, msg }` 错误响应，创建失败不再继续轮询 `undefined`。
-- 新增 `/video` 视频创作台页面，参考生图工作台布局，支持提示词、参考图、视频参数、生成结果、保存素材、下载和本地生成记录；清晰度和秒数均支持常用值选择与手动输入。
-- 视频创作台生成前会把模型、尺寸、秒数、清晰度归一化为视频接口支持的参数，并展示后端返回的错误信息，避免页面侧残留的生图参数影响视频请求。

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/backend/local-development', prefix: '/docs/backend' },
+  { title: '项目进度', href: '/docs/progress/changelog', prefix: '/docs/progress' },
+  { title: '商务合作', href: '/docs/business/business', prefix: '/docs/business' },
+  { title: '赞助支持', href: '/docs/support/donate', prefix: '/docs/support' },
+];
+
+export function DocsTopTabs() {
+  const pathname = usePathname();
+
+  return (
+    <nav className="sticky top-0 z-30 hidden h-12 self-start overflow-x-auto border-b bg-fd-background/95 px-6 pt-3 backdrop-blur [grid-area:main] md:flex xl:px-8">
+      <div className="flex flex-row items-end gap-6">
+        {tabs.map((tab) => {
+          const active = tab.prefix ? pathname === tab.href || pathname.startsWith(`${tab.prefix}/`) : pathname === tab.href;
+
+          return (
+            <Link
+              key={tab.href}
+              href={tab.href}
+              className={cn(
+                'inline-flex border-b-2 border-transparent pb-1.5 text-sm font-medium text-nowrap text-fd-muted-foreground transition-colors hover:text-fd-accent-foreground',
+                active && 'border-fd-primary text-fd-primary',
+              )}
+            >
+              {tab.title}
+            </Link>
+          );
+        })}
+      </div>
+    </nav>
+  );
+}

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,
+  };
+}

docs/src/lib/layout.shared.tsx

@@ -0,0 +1,55 @@
+import type { BaseLayoutProps } from 'fumadocs-ui/layouts/shared';
+import { appName, gitConfig } from './shared';
+import { ArrowUpRight } from 'lucide-react';
+
+const githubUrl = `https://github.com/${gitConfig.user}/${gitConfig.repo}`;
+const qqUrl = 'https://qm.qq.com/q/DFnKzZ807u';
+
+export function baseOptions(): BaseLayoutProps {
+  return {
+    nav: {
+      title: (
+        <span className="inline-flex items-center gap-2 font-semibold">
+          <img src="/logo.svg" alt={appName} className="h-6 w-6" />
+          <span>{appName}</span>
+        </span>
+      ),
+    },
+    links: [
+      {
+        text: '文档导航',
+        url: '/docs/overview/quick-start',
+        on: 'nav',
+      },
+      {
+        text: (
+          <span className="inline-flex items-center gap-1.5">
+            <span>在线体验</span>
+            <ArrowUpRight className="size-4" />
+          </span>
+        ),
+        url: 'https://canvas.best/',
+        external: true,
+        on: 'nav',
+      },
+      {
+        type: 'icon',
+        text: 'GitHub',
+        label: 'GitHub',
+        url: githubUrl,
+        external: true,
+        on: 'menu',
+        icon: <img src="/github.svg" alt="" className="size-4" />,
+      },
+      {
+        type: 'icon',
+        text: 'QQ',
+        label: 'QQ',
+        url: qqUrl,
+        external: true,
+        on: 'menu',
+        icon: <img src="/qq.svg" alt="" className="size-4" />,
+      },
+    ],
+  };
+}

docs/src/lib/search-tokenizer.ts

@@ -0,0 +1,54 @@
+type OramaTokenizer = {
+  language: string;
+  normalizationCache: Map<string, string>;
+  tokenize: (raw: string, language?: string, prop?: string, withCache?: boolean) => string[];
+};
+
+const wordPattern = /[\p{Script=Han}]+|[a-z0-9][a-z0-9_'-]*/giu;
+const hanPattern = /^\p{Script=Han}+$/u;
+const chineseSegmenter = 'Segmenter' in Intl ? new Intl.Segmenter('zh-CN', { granularity: 'word' }) : null;
+
+function getChineseSegments(value: string) {
+  if (!chineseSegmenter) return [];
+
+  return Array.from(chineseSegmenter.segment(value))
+    .filter((item) => item.isWordLike)
+    .map((item) => item.segment);
+}
+
+function addChineseTokens(tokens: string[], value: string) {
+  const chars = Array.from(value);
+  if (chars.length <= 12) tokens.push(value);
+  tokens.push(...getChineseSegments(value));
+
+  for (let size = 1; size <= 3; size += 1) {
+    if (chars.length < size) continue;
+    for (let i = 0; i <= chars.length - size; i += 1) {
+      tokens.push(chars.slice(i, i + size).join(''));
+    }
+  }
+}
+
+export function createDocsSearchTokenizer(): OramaTokenizer {
+  return {
+    language: 'zh-CN',
+    normalizationCache: new Map(),
+    tokenize(raw) {
+      if (typeof raw !== 'string') return [raw];
+
+      const tokens: string[] = [];
+      const input = raw.normalize('NFKC').toLowerCase();
+
+      for (const match of input.matchAll(wordPattern)) {
+        const value = match[0];
+        if (hanPattern.test(value)) {
+          addChineseTokens(tokens, value);
+        } else {
+          tokens.push(value);
+        }
+      }
+
+      return Array.from(new Set(tokens.filter(Boolean)));
+    },
+  };
+}

docs/src/lib/shared.ts

@@ -0,0 +1,11 @@
+export const appName = '无限画布';
+export const docsRoute = '/docs';
+export const docsContentRoute = '/llms.mdx/docs';
+
+// fill this with your actual GitHub info, for example:
+export const gitConfig = {
+  user: 'basketikun',
+  repo: 'infinite-canvas',
+  branch: 'main',
+  docsContentDir: 'docs/content/docs',
+};

docs/src/lib/source.ts

@@ -0,0 +1,27 @@
+import { docs } from 'collections/server';
+import { loader } from 'fumadocs-core/source';
+import { docsContentRoute, docsRoute } from './shared';
+
+// See https://fumadocs.dev/docs/headless/source-api for more info
+export const source = loader({
+  baseUrl: docsRoute,
+  source: docs.toFumadocsSource(),
+  plugins: [],
+});
+
+export function getPageMarkdownUrl(page: (typeof source)['$inferPage']) {
+  const segments = [...page.slugs, 'content.md'];
+
+  return {
+    segments,
+    url: `${docsContentRoute}/${segments.join('/')}`,
+  };
+}
+
+export async function getLLMText(page: (typeof source)['$inferPage']) {
+  const processed = await page.data.getText('processed');
+
+  return `# ${page.data.title} (${page.url})
+
+${processed}`;
+}

docs/system-settings.md

@@ -1,121 +0,0 @@
-# 系统配置数据结构
-
-系统配置保存在 `settings` 表中，目前只使用两行：
-
-| key | 说明 |
-| --- | --- |
-| `public` | 公开配置，前端可以读取 |
-| `private` | 私有配置，只给后端和管理员使用 |
-
-## public.value
-
-```json
-{
-  "modelChannel": {
-    "availableModels": ["gpt-5.5", "gpt-image-2"],
-    "modelCosts": [
-      { "model": "gpt-5.5", "credits": 1 },
-      { "model": "gpt-image-2", "credits": 10 }
-    ],
-    "defaultModel": "gpt-image-2",
-    "defaultImageModel": "gpt-image-2",
-    "defaultTextModel": "gpt-5.5",
-    "systemPrompt": "",
-    "allowCustomChannel": true
-  },
-  "auth": {
-    "allowRegister": true,
-    "linuxDo": {
-      "enabled": false
-    }
-  }
-}
-```
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `modelChannel` | object | 模型渠道公开配置组 |
-| `auth` | object | 认证相关公开配置 |
-
-`modelChannel` 字段：
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `availableModels` | string[] | 系统可用模型，由管理员手动选择；页面下拉选项可来自私有渠道模型 |
-| `modelCosts` | object[] | 模型算力点配置，后端模型接口调用前按模型预扣，上游失败时返还；未配置默认不扣除 |
-| `defaultModel` | string | 默认模型，从 `availableModels` 中选择 |
-| `defaultImageModel` | string | 默认图片模型，从 `availableModels` 中选择 |
-| `defaultTextModel` | string | 默认文本模型，从 `availableModels` 中选择 |
-| `systemPrompt` | string | 系统提示词 |
-| `allowCustomChannel` | boolean | 是否允许用户在配置弹窗中切换为本地直连渠道，默认允许 |
-
-`modelCosts` 每项字段：
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `model` | string | 模型名称 |
-| `credits` | number | 每次后端模型接口调用前预扣的算力点 |
-
-用户侧请求模式：
-
-| 模式 | 说明 |
-| --- | --- |
-| 云端渠道 | 使用后端 `/api/v1/*` 代理接口，请求会按模型名匹配 `private.value.channels` 中的可用渠道 |
-| 本地直连 | 默认可选；`allowCustomChannel` 关闭后不可选，用户在浏览器本地配置 `baseUrl`、`apiKey` 和模型列表后直接请求模型接口 |
-
-`auth` 字段：
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `allowRegister` | boolean | 是否允许用户注册，默认允许；关闭后注册入口隐藏，注册接口拒绝新用户创建 |
-| `linuxDo.enabled` | boolean | 是否开启 Linux.do 登录 |
-
-## private.value
-
-```json
-{
-  "channels": [
-    {
-      "protocol": "openai",
-      "name": "默认渠道",
-      "baseUrl": "https://api.example.com",
-      "apiKey": "sk-xxx",
-      "models": ["gpt-5.5", "gpt-image-2"],
-      "weight": 1,
-      "enabled": true,
-      "remark": ""
-    }
-  ],
-  "promptSync": {
-    "enabled": true,
-    "cron": "*/5 * * * *"
-  }
-}
-```
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `channels` | object[] | 模型渠道列表 |
-| `promptSync` | object | GitHub 远程提示词定时同步配置 |
-
-`channels` 每项字段：
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `protocol` | string | 协议，当前为 `openai` |
-| `name` | string | 渠道名称 |
-| `baseUrl` | string | OpenAI 兼容接口地址 |
-| `apiKey` | string | 渠道密钥 |
-| `models` | string[] | 该渠道可用模型 |
-| `weight` | number | 渠道权重；同一模型有多个可用渠道时按权重随机 |
-| `enabled` | boolean | 是否启用 |
-| `remark` | string | 备注 |
-
-后端调用模型时，会从已启用、已配置 `baseUrl` 和 `apiKey`、且 `models` 包含目标模型的渠道中选择一个。
-
-`promptSync` 字段：
-
-| 字段 | 类型 | 说明 |
-| --- | --- | --- |
-| `enabled` | boolean | 是否开启定时同步，默认开启 |
-| `cron` | string | Cron 表达式，默认每 5 分钟 |

docs/todo.md

@@ -1,3 +0,0 @@
-# TODO
-
-本文档用来记录当前项目后续比较值得处理的事项。

docs/tsconfig.json

@@ -0,0 +1,45 @@
+{
+  "compilerOptions": {
+    "target": "ESNext",
+    "lib": [
+      "dom",
+      "dom.iterable",
+      "esnext"
+    ],
+    "allowJs": true,
+    "skipLibCheck": true,
+    "strict": true,
+    "forceConsistentCasingInFileNames": true,
+    "noEmit": true,
+    "esModuleInterop": true,
+    "module": "esnext",
+    "moduleResolution": "bundler",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "jsx": "react-jsx",
+    "incremental": true,
+    "paths": {
+      "@/*": [
+        "./src/*"
+      ],
+      "collections/*": [
+        "./.source/*"
+      ]
+    },
+    "plugins": [
+      {
+        "name": "next"
+      }
+    ]
+  },
+  "include": [
+    "next-env.d.ts",
+    "**/*.ts",
+    "**/*.tsx",
+    ".next/types/**/*.ts",
+    ".next/dev/types/**/*.ts"
+  ],
+  "exclude": [
+    "node_modules"
+  ]
+}

go.mod

@@ -1,65 +0,0 @@
-module github.com/basketikun/infinite-canvas
-
-go 1.25.0
-
-require (
-	github.com/caarlos0/env/v11 v11.3.1
-	github.com/gin-gonic/gin v1.11.0
-	github.com/glebarez/sqlite v1.11.0
-	github.com/golang-jwt/jwt/v5 v5.3.1
-	github.com/joho/godotenv v1.5.1
-	github.com/robfig/cron/v3 v3.0.1
-	golang.org/x/crypto v0.48.0
-	gorm.io/driver/mysql v1.6.0
-	gorm.io/driver/postgres v1.6.0
-	gorm.io/gorm v1.31.1
-)
-
-require (
-	filippo.io/edwards25519 v1.2.0 // indirect
-	github.com/bytedance/sonic v1.14.0 // indirect
-	github.com/bytedance/sonic/loader v0.3.0 // indirect
-	github.com/cloudwego/base64x v0.1.6 // indirect
-	github.com/dustin/go-humanize v1.0.1 // indirect
-	github.com/gabriel-vasile/mimetype v1.4.8 // indirect
-	github.com/gin-contrib/sse v1.1.0 // indirect
-	github.com/glebarez/go-sqlite v1.21.2 // indirect
-	github.com/go-playground/locales v0.14.1 // indirect
-	github.com/go-playground/universal-translator v0.18.1 // indirect
-	github.com/go-playground/validator/v10 v10.27.0 // indirect
-	github.com/go-sql-driver/mysql v1.8.1 // indirect
-	github.com/goccy/go-json v0.10.2 // indirect
-	github.com/goccy/go-yaml v1.18.0 // indirect
-	github.com/google/uuid v1.3.0
-	github.com/jackc/pgpassfile v1.0.0 // indirect
-	github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761 // indirect
-	github.com/jackc/pgx/v5 v5.6.0 // indirect
-	github.com/jackc/puddle/v2 v2.2.2 // indirect
-	github.com/jinzhu/inflection v1.0.0 // indirect
-	github.com/jinzhu/now v1.1.5 // indirect
-	github.com/json-iterator/go v1.1.12 // indirect
-	github.com/klauspost/cpuid/v2 v2.3.0 // indirect
-	github.com/leodido/go-urn v1.4.0 // indirect
-	github.com/mattn/go-isatty v0.0.20 // indirect
-	github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421 // indirect
-	github.com/modern-go/reflect2 v1.0.2 // indirect
-	github.com/pelletier/go-toml/v2 v2.2.4 // indirect
-	github.com/quic-go/qpack v0.5.1 // indirect
-	github.com/quic-go/quic-go v0.54.0 // indirect
-	github.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec // indirect
-	github.com/twitchyliquid64/golang-asm v0.15.1 // indirect
-	github.com/ugorji/go/codec v1.3.0 // indirect
-	go.uber.org/mock v0.5.0 // indirect
-	golang.org/x/arch v0.20.0 // indirect
-	golang.org/x/mod v0.33.0 // indirect
-	golang.org/x/net v0.50.0 // indirect
-	golang.org/x/sync v0.20.0 // indirect
-	golang.org/x/sys v0.42.0 // indirect
-	golang.org/x/text v0.34.0 // indirect
-	golang.org/x/tools v0.42.0 // indirect
-	google.golang.org/protobuf v1.36.9 // indirect
-	modernc.org/libc v1.22.5 // indirect
-	modernc.org/mathutil v1.5.0 // indirect
-	modernc.org/memory v1.5.0 // indirect
-	modernc.org/sqlite v1.23.1 // indirect
-)