Compare commits

..

4 Commits

Author SHA1 Message Date
dayuan.jiang
345381e61a fix(cascade-delete): recursively collect edge children (labels)
- Change from cellsToDelete.add(edgeId) to collectDescendants(edgeId)
- Fixes orphaned edge labels causing draw.io to crash/clear canvas
- Edge labels (parent=edgeId) are now deleted with their parent edge
2025-12-30 00:02:37 +09:00
dayuan.jiang
853f30ba89 chore(mcp): bump version to 0.1.9 2025-12-29 23:46:13 +09:00
dayuan.jiang
8fc6a5396a fix: add root cell protection and sync MCP server cascade delete
- Add protection for root cells '0' and '1' to prevent full diagram wipe
- Sync MCP server with main app's cascade delete logic
- Both lib/utils.ts and packages/mcp-server now have identical delete behavior
2025-12-29 23:35:24 +09:00
dayuan.jiang
acf3bc7e42 fix(edit_diagram): implement cascade delete for children and edges
- Add automatic cascade deletion when deleting a cell
- Recursively delete all child cells (parent attribute references)
- Delete all edges referencing deleted cells (source/target)
- Skip silently if cell already deleted (handles AI redundant ops)
- Update prompts to inform AI about cascade behavior

Fixes #450
2025-12-29 23:17:04 +09:00
203 changed files with 12831 additions and 38931 deletions

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@@ -20,61 +20,15 @@ npm run lint # Check lint errors
npm run check # Run all checks (CI)
```
Git hooks via Husky run automatically:
- **Pre-commit**: Biome (format/lint) + TypeScript type check
- **Pre-push**: Unit tests
Pre-commit hooks via Husky will run Biome automatically on staged files.
For a better experience, install the [Biome VS Code extension](https://marketplace.visualstudio.com/items?itemName=biomejs.biome) for real-time linting and format-on-save.
## Testing
Run tests before submitting PRs:
```bash
npm run test # Unit tests (Vitest)
npm run test:e2e # E2E tests (Playwright)
```
E2E tests use mocked API responses - no AI provider needed. Tests are in `tests/e2e/`.
To run a specific test file:
```bash
npx playwright test tests/e2e/diagram-generation.spec.ts
```
To run tests with UI mode:
```bash
npx playwright test --ui
```
## Before You Start
For **significant changes** (new features, architecture changes, large refactors, etc.), please **open an issue first** to discuss your proposal before writing code. This helps avoid wasted effort and ensures alignment with the project direction. Small bug fixes and minor improvements can go straight to a PR.
## Pull Requests
1. Create a feature branch
2. Make changes (pre-commit runs lint + type check automatically)
3. Run E2E tests with `npm run test:e2e`
4. Push (pre-push runs unit tests automatically)
5. Submit PR against `main` with a clear description
CI will run the full test suite on your PR.
## Using AI Tools
AI-assisted contributions are welcome. But please **review the output before opening a PR**:
1. **Review the code** — understand what was generated, don't just commit blindly
2. **Write a PR description** — explain what changed and why
3. **Rebase on latest `main`** — AI tools often work on stale branches, run `git rebase origin/main` before pushing
4. **Clean up artifacts** — remove IDE configs (`.idea/`, `.kiro/`), env files, scratch notes, and throwaway test scripts that AI tools leave behind
## Code Review
This project uses GitHub Copilot for automated code review. If you receive review comments from Copilot on your PR:
- **Valid suggestions**: Please address them in your code.
- **Invalid or irrelevant suggestions**: Feel free to click "Resolve" to dismiss them.
2. Make changes and ensure `npm run check` passes
3. Submit PR against `main` with a clear description
## Issues

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@@ -1,7 +1,7 @@
{
"$schema": "https://docs.renovatebot.com/renovate-schema.json",
"extends": ["config:recommended"],
"schedule": ["after 10am on the first day of the month"],
"schedule": ["after 10am on saturday"],
"timezone": "Asia/Tokyo",
"packageRules": [
{
@@ -13,7 +13,6 @@
{
"matchUpdateTypes": ["major"],
"matchPackagePatterns": ["*"],
"groupName": "major dependencies",
"automerge": false
},
{
@@ -33,11 +32,6 @@
"matchPackagePatterns": ["@ai-sdk/*", "ai", "next"],
"groupName": "Core framework packages",
"automerge": false
},
{
"matchPackageNames": ["@biomejs/biome"],
"groupName": "Biome",
"automerge": false
}
],
"vulnerabilityAlerts": {

View File

@@ -23,9 +23,7 @@ jobs:
node-version: '24'
- name: Run Biome format
# Pin to the version in package.json so CI matches local/pre-commit
# (npx @latest drifts — e.g. 2.5.0 broke this job on unrelated PRs).
run: npx @biomejs/biome@2.4.13 check --write --no-errors-on-unmatched .
run: npx @biomejs/biome@latest check --write --no-errors-on-unmatched .
- name: Check for changes
id: changes

View File

@@ -40,3 +40,5 @@ jobs:
- name: Build
run: npm run build
- name: Security audit
run: npm audit --audit-level=high --omit=dev

View File

@@ -58,8 +58,6 @@ jobs:
with:
context: .
push: ${{ github.event_name != 'pull_request' }}
provenance: mode=max
sbom: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
@@ -91,3 +89,4 @@ jobs:
docker pull ghcr.io/${REPO_LOWER}:latest
docker tag ghcr.io/${REPO_LOWER}:latest ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.ap-northeast-1.amazonaws.com/next-ai-draw-io:latest
docker push ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.ap-northeast-1.amazonaws.com/next-ai-draw-io:latest

View File

@@ -11,8 +11,7 @@ on:
required: false
jobs:
# Mac and Linux: Build and publish directly (no signing needed)
build-mac-linux:
build:
permissions:
contents: write
strategy:
@@ -21,9 +20,13 @@ jobs:
include:
- os: macos-latest
platform: mac
- os: windows-latest
platform: win
- os: ubuntu-latest
platform: linux
runs-on: ${{ matrix.os }}
steps:
- name: Checkout code
uses: actions/checkout@v6
@@ -34,80 +37,10 @@ jobs:
node-version: 24
cache: "npm"
- name: Download draw.io static files for offline use
run: |
rm -rf public/drawio
git clone --depth 1 https://github.com/jgraph/drawio.git /tmp/drawio
mkdir -p public/drawio
cp -r /tmp/drawio/src/main/webapp/* public/drawio/
rm -rf public/drawio/WEB-INF
rm -rf public/drawio/META-INF
- name: Install dependencies
run: npm install
run: npm ci
- name: Build and publish
- name: Build and publish Electron app
run: npm run dist:${{ matrix.platform }}
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# Windows: Build, sign with SignPath, then publish
build-windows:
permissions:
contents: write
runs-on: windows-latest
steps:
- name: Checkout code
uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: 24
cache: "npm"
- name: Download draw.io static files for offline use
shell: bash
run: |
rm -rf public/drawio
git clone --depth 1 https://github.com/jgraph/drawio.git /tmp/drawio
mkdir -p public/drawio
cp -r /tmp/drawio/src/main/webapp/* public/drawio/
rm -rf public/drawio/WEB-INF
rm -rf public/drawio/META-INF
- name: Install dependencies
run: npm install
# Build WITHOUT publishing
- name: Build Windows app
run: npm run dist:win:build
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Upload unsigned artifacts for signing
uses: actions/upload-artifact@v6
id: upload-unsigned
with:
name: windows-unsigned
path: release/*.exe
retention-days: 1
- name: Sign with SignPath
uses: signpath/github-action-submit-signing-request@v2
with:
api-token: ${{ secrets.SIGNPATH_API_TOKEN }}
organization-id: '880a211d-2cd3-4e7b-8d04-3d1f8eb39df5'
project-slug: 'next-ai-draw-io'
signing-policy-slug: 'release-signing'
artifact-configuration-slug: 'windows-exe'
github-artifact-id: ${{ steps.upload-unsigned.outputs.artifact-id }}
wait-for-completion: true
output-artifact-directory: release-signed
- name: Upload signed artifacts to release
uses: softprops/action-gh-release@v2
with:
files: release-signed/*.exe
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

View File

@@ -1,67 +0,0 @@
name: Publish MCP Server
# Publishes @next-ai-drawio/mcp-server to npm via OIDC trusted publishing
# (no token, no OTP). Triggers when packages/mcp-server changes on main;
# skips silently if the package.json version is already on npm — so a
# release is just "bump the version in a PR and merge".
on:
push:
branches:
- main
paths:
- "packages/mcp-server/**"
workflow_dispatch:
permissions:
contents: read
id-token: write # OIDC token for npm trusted publishing
concurrency:
group: publish-mcp
cancel-in-progress: false
jobs:
publish:
runs-on: ubuntu-latest
defaults:
run:
working-directory: packages/mcp-server
steps:
- name: Checkout
uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: 24
cache: "npm"
cache-dependency-path: packages/mcp-server/package-lock.json
registry-url: "https://registry.npmjs.org"
# Trusted publishing requires npm >= 11.5.1
- name: Update npm
run: npm install -g npm@latest
- name: Check if version is already published
id: version
run: |
LOCAL=$(node -p "require('./package.json').version")
if npm view "@next-ai-drawio/mcp-server@${LOCAL}" version >/dev/null 2>&1; then
echo "Version ${LOCAL} already on npm - nothing to publish"
echo "publish=false" >> "$GITHUB_OUTPUT"
else
echo "Version ${LOCAL} not on npm - publishing"
echo "publish=true" >> "$GITHUB_OUTPUT"
fi
- name: Install dependencies
if: steps.version.outputs.publish == 'true'
run: npm ci
- name: Test
if: steps.version.outputs.publish == 'true'
run: npm test
- name: Publish to npm
if: steps.version.outputs.publish == 'true'
run: npm publish

View File

@@ -1,85 +0,0 @@
name: Test
on:
pull_request:
branches: [main]
push:
branches: [main]
jobs:
lint-and-unit:
name: Lint & Unit Tests
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "20"
cache: "npm"
- name: Install dependencies
run: npm ci
- name: Run lint
run: npm run check
- name: Run unit tests
run: npm run test -- --run
# The MCP server package ships its own vitest because its DOM polyfill
# (linkedom) needs `environment: node`, while the root vitest uses jsdom
# for the Next.js app. Install + run its tests separately so CI catches
# multi-page mxfile regressions.
- name: Install MCP server dependencies
run: npm --prefix packages/mcp-server ci
- name: Run MCP server unit tests
run: npm --prefix packages/mcp-server test
e2e:
name: E2E Tests
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "20"
cache: "npm"
- name: Install dependencies
run: npm ci
- name: Cache Playwright browsers
uses: actions/cache@v5
id: playwright-cache
with:
path: ~/.cache/ms-playwright
key: playwright-${{ runner.os }}-${{ hashFiles('**/package-lock.json') }}
- name: Install Playwright browsers
if: steps.playwright-cache.outputs.cache-hit != 'true'
run: npx playwright install chromium --with-deps
- name: Install Playwright deps (cached)
if: steps.playwright-cache.outputs.cache-hit == 'true'
run: npx playwright install-deps chromium
- name: Build app
run: npm run build
- name: Run E2E tests
run: npm run test:e2e
env:
CI: true
- name: Upload test results
uses: actions/upload-artifact@v6
if: always()
with:
name: playwright-report
path: playwright-report/
retention-days: 7

18
.gitignore vendored
View File

@@ -14,8 +14,6 @@ packages/*/dist
# testing
/coverage
/playwright-report/
/test-results/
# next.js
/.next/
@@ -56,8 +54,6 @@ push-via-ec2.sh
/dist-electron/
/release/
/electron-standalone/
# Draw.io static files (downloaded during CI build)
public/drawio/
*.dmg
*.exe
*.AppImage
@@ -66,16 +62,4 @@ public/drawio/
*.snap
CLAUDE.md
.spec-workflow
# edgeone
.edgeone
opencode.json
ai-models.json
# local backups
*.bak
.gstack/
# admin panel settings (contains secrets)
data/
.spec-workflow

View File

@@ -1,2 +1 @@
npx lint-staged
npx tsc --noEmit

View File

@@ -1,4 +0,0 @@
# Skip if node_modules not installed (e.g., on EC2 push server)
if [ -d "node_modules" ]; then
npm run test -- --run
fi

View File

@@ -9,7 +9,6 @@ WORKDIR /app
COPY package.json package-lock.json* ./
# Install dependencies
ARG ELECTRON_SKIP_BINARY_DOWNLOAD=1
RUN npm install
# Stage 2: Build application
@@ -31,15 +30,6 @@ ENV NEXT_PUBLIC_DRAWIO_BASE_URL=${NEXT_PUBLIC_DRAWIO_BASE_URL}
ARG NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE=false
ENV NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE=${NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE}
# Build-time argument for subdirectory deployment (e.g., /nextaidrawio)
ARG NEXT_PUBLIC_BASE_PATH=""
ENV NEXT_PUBLIC_BASE_PATH=${NEXT_PUBLIC_BASE_PATH}
# Control sponsorship and self-hosting messaging in quota notifications.
# Set NEXT_PUBLIC_SELFHOSTED="true" in self-hosted deployments to hide sponsorship/self-host links and related text in quota popups.
ARG NEXT_PUBLIC_SELFHOSTED=""
ENV NEXT_PUBLIC_SELFHOSTED="${NEXT_PUBLIC_SELFHOSTED}"
# Build Next.js application (standalone mode)
RUN npm run build
@@ -61,9 +51,6 @@ COPY --from=builder /app/public ./public
COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
# Writable dir for admin panel settings (data/settings.json)
RUN mkdir -p /app/data && chown nextjs:nodejs /app/data
USER nextjs
EXPOSE 3000

190
README.md
View File

@@ -4,7 +4,7 @@
**AI-Powered Diagram Creation Tool - Chat, Draw, Visualize**
English | [中文](./docs/cn/README_CN.md) | [日本語](./docs/ja/README_JA.md)
English | [中文](./docs/README_CN.md) | [日本語](./docs/README_JA.md)
[![TrendShift](https://trendshift.io/api/badge/repositories/15449)](https://next-ai-drawio.jiang.jp/)
@@ -19,18 +19,7 @@ English | [中文](./docs/cn/README_CN.md) | [日本語](./docs/ja/README_JA.md)
A Next.js web application that integrates AI capabilities with draw.io diagrams. Create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
> Note: Thanks to <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) sponsorship, the demo site now uses the powerful glm-4.7 model!
<p align="center">
<a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=next-ai-draw-io">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="./public/atlas-cloud-logo-white.svg">
<img src="./public/atlas-cloud-logo.svg" alt="Atlas Cloud" width="200">
</picture>
</a>
</p>
> 🎁 Thanks to **[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=next-ai-draw-io)** for sponsoring next-ai-draw-io. Its OpenAI-compatible API gives diagram workflows one provider connection for DeepSeek, Qwen, GLM, Kimi, MiniMax, and more. Budget-friendly access is available through the [Coding Plan](https://www.atlascloud.ai/console/coding-plan).
> Note: Thanks to <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) sponsorship, the demo site now uses the powerful K2-thinking model!
https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1
@@ -42,23 +31,20 @@ https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1
- [Table of Contents](#table-of-contents)
- [Examples](#examples)
- [Features](#features)
- [MCP Server](#mcp-server)
- [MCP Server (Preview)](#mcp-server-preview)
- [Claude Code CLI](#claude-code-cli)
- [Getting Started](#getting-started)
- [Try it Online](#try-it-online)
- [Desktop Application](#desktop-application)
- [Run with Docker](#run-with-docker)
- [Run with Docker (Recommended)](#run-with-docker-recommended)
- [Installation](#installation)
- [Deployment](#deployment)
- [Deploy to EdgeOne Pages](#deploy-to-edgeone-pages)
- [Deploy on Vercel](#deploy-on-vercel)
- [Deploy on Vercel (Recommended)](#deploy-on-vercel-recommended)
- [Deploy on Cloudflare Workers](#deploy-on-cloudflare-workers)
- [Multi-Provider Support](#multi-provider-support)
- [Server-Side Multi-Model Configuration](#server-side-multi-model-configuration)
- [Admin Panel](#admin-panel)
- [How It Works](#how-it-works)
- [Project Structure](#project-structure)
- [Support \& Contact](#support--contact)
- [FAQ](#faq)
- [Star History](#star-history)
## Examples
@@ -76,24 +62,24 @@ Here are some example prompts and their generated diagrams:
</tr>
<tr>
<td width="50%" valign="top">
<strong>RAG Technique Diagram</strong><br />
<p><strong>Prompt:</strong> Generate a RAG architecture diagram for **chat application**. Use connected diagram for data ingestion</p>
<img src="./public/rag_prod.svg" alt="RAG Architecture Diagram" width="480" />
<strong>GCP architecture diagram</strong><br />
<p><strong>Prompt:</strong> Generate a GCP architecture diagram with **GCP icons**. In this diagram, users connect to a frontend hosted on an instance.</p>
<img src="./public/gcp_demo.svg" alt="GCP Architecture Diagram" width="480" />
</td>
<td width="50%" valign="top">
<strong>Authentication using React and AWS</strong><br />
<p><strong>Prompt:</strong> Generate authentication process using React with **AWS**. Use Serverless architecture.</p>
<img src="./public/auth.svg" alt="Authentication Architecture Diagram" width="480" />
<strong>AWS architecture diagram</strong><br />
<p><strong>Prompt:</strong> Generate a AWS architecture diagram with **AWS icons**. In this diagram, users connect to a frontend hosted on an instance.</p>
<img src="./public/aws_demo.svg" alt="AWS Architecture Diagram" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>Open Innovation</strong><br />
<p><strong>Prompt:</strong> Create visualization of Henry Chesbrough's Open Innovation model.</p>
<img src="./public/inno.svg" alt="Open Innovation Diagram" width="480" />
<strong>Azure architecture diagram</strong><br />
<p><strong>Prompt:</strong> Generate a Azure architecture diagram with **Azure icons**. In this diagram, users connect to a frontend hosted on an instance.</p>
<img src="./public/azure_demo.svg" alt="Azure Architecture Diagram" width="480" />
</td>
<td width="50%" valign="top">
<strong>Cat sketch</strong><br />
<strong>Cat sketch prompt</strong><br />
<p><strong>Prompt:</strong> Draw a cute cat for me.</p>
<img src="./public/cat_demo.svg" alt="Cat Drawing" width="240" />
</td>
@@ -112,7 +98,9 @@ Here are some example prompts and their generated diagrams:
- **Cloud Architecture Diagram Support**: Specialized support for generating cloud architecture diagrams (AWS, GCP, Azure)
- **Animated Connectors**: Create dynamic and animated connectors between diagram elements for better visualization
## MCP Server
## MCP Server (Preview)
> **Preview Feature**: This feature is experimental and may not stable.
Use Next AI Draw.io with AI agents like Claude Desktop, Cursor, and VS Code via MCP (Model Context Protocol).
@@ -156,11 +144,53 @@ No installation needed! Try the app directly on our demo site:
Download the native desktop app for your platform from the [Releases page](https://github.com/DayuanJiang/next-ai-draw-io/releases):
Supported platforms: Windows, macOS, Linux.
| Platform | Download |
|----------|----------|
| macOS | `.dmg` (Intel & Apple Silicon) |
| Windows | `.exe` installer (x64 & ARM64) |
| Linux | `.AppImage` or `.deb` (x64 & ARM64) |
### Run with Docker
**Features:**
- **Secure API key storage**: Credentials encrypted using OS keychain
- **Configuration presets**: Save and switch between AI providers via menu
- **Native file dialogs**: Open/save `.drawio` files directly
- **Offline capable**: Works without internet after first launch
[Go to Docker Guide](./docs/en/docker.md)
**Quick Setup:**
1. Download and install for your platform
2. Open the app → **Menu → Configuration → Manage Presets**
3. Add your AI provider credentials
4. Start creating diagrams!
### Run with Docker (Recommended)
If you just want to run it locally, the best way is to use Docker.
First, install Docker if you haven't already: [Get Docker](https://docs.docker.com/get-docker/)
Then run:
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
Or use an env file:
```bash
cp env.example .env
# Edit .env with your configuration
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
Open [http://localhost:3000](http://localhost:3000) in your browser.
Replace the environment variables with your preferred AI provider configuration. See [Multi-Provider Support](#multi-provider-support) for available options.
> **Offline Deployment:** If `embed.diagrams.net` is blocked, see [Offline Deployment](./docs/offline-deployment.md) for configuration options.
### Installation
@@ -169,35 +199,45 @@ Supported platforms: Windows, macOS, Linux.
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
```
2. Install dependencies:
```bash
npm install
```
3. Configure your AI provider:
Create a `.env.local` file in the root directory:
```bash
cp env.example .env.local
```
See the [Provider Configuration Guide](./docs/en/ai-providers.md) for detailed setup instructions for each provider.
Edit `.env.local` and configure your chosen provider:
2. Run the development server:
- Set `AI_PROVIDER` to your chosen provider (doubao,bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow)
- Set `AI_MODEL` to the specific model you want to use
- Add the required API keys for your provider
- `TEMPERATURE`: Optional temperature setting (e.g., `0` for deterministic output). Leave unset for models that don't support it (e.g., reasoning models).
- `ACCESS_CODE_LIST`: Optional access password(s), can be comma-separated for multiple passwords.
> Warning: If you do not set `ACCESS_CODE_LIST`, anyone can access your deployed site directly, which may lead to rapid depletion of your token. It is recommended to set this option.
See the [Provider Configuration Guide](./docs/ai-providers.md) for detailed setup instructions for each provider.
4. Run the development server:
```bash
npm run dev
```
3. Open [http://localhost:6002](http://localhost:6002) in your browser to see the application.
5. Open [http://localhost:3000](http://localhost:3000) in your browser to see the application.
## Deployment
### Deploy to EdgeOne Pages
You can deploy with one click using [Tencent EdgeOne Pages](https://pages.edgeone.ai/).
Deploy by this button:
[![Deploy to EdgeOne Pages](https://cdnstatic.tencentcs.com/edgeone/pages/deploy.svg)](https://edgeone.ai/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
Check out the [Tencent EdgeOne Pages documentation](https://pages.edgeone.ai/document/deployment-overview) for more details.
Additionally, deploying through Tencent EdgeOne Pages will also grant you a [daily free quota for DeepSeek models](https://pages.edgeone.ai/document/edge-ai).
### Deploy on Vercel
### Deploy on Vercel (Recommended)
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
@@ -207,47 +247,31 @@ See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-
### Deploy on Cloudflare Workers
[Go to Cloudflare Deploy Guide](./docs/en/cloudflare-deploy.md)
[Go to Cloudflare Deploy Guide](./docs/Cloudflare_Deploy.md)
## Multi-Provider Support
- [ByteDance Doubao](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)
- [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
- AWS Bedrock (default)
- OpenAI
- Anthropic
- Google AI
- Google Vertex AI
- Azure OpenAI
- Ollama
- OpenRouter
- AIHubMix
- DeepSeek
- SiliconFlow
- ModelScope
- SGLang
- Vercel AI Gateway
- [Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=next-ai-draw-io)
All providers except AWS Bedrock and OpenRouter support custom endpoints.
📖 **[Detailed Provider Configuration Guide](./docs/en/ai-providers.md)** - See setup instructions for each provider.
### Server-Side Multi-Model Configuration
Administrators can configure multiple server-side models that are available to all users without requiring personal API keys. Configure via `AI_MODELS_CONFIG` environment variable (JSON string) or `ai-models.json` file. For a single-provider quick setup, list comma-separated model IDs in `AI_MODEL`.
### Admin Panel
Set the `ADMIN_PASSWORD` environment variable and visit `/admin` to manage server settings (models, access codes, features, observability, quota) from a web panel instead of hand-editing `.env`.
📖 **[Admin Panel Guide](./docs/en/admin-panel.md)** — setup, precedence rules, and notes.
📖 **[Detailed Provider Configuration Guide](./docs/ai-providers.md)** - See setup instructions for each provider.
**Model Requirements**: This task requires strong model capabilities for generating long-form text with strict formatting constraints (draw.io XML). Recommended models include Claude Sonnet 4.5, GPT-5.1, Gemini 3 Pro, and DeepSeek V3.2/R1.
Note that the `claude` series has been trained on draw.io diagrams with cloud architecture logos like AWS, Azure, GCP. So if you want to create cloud architecture diagrams, this is the best choice.
Note that `claude` series has trained on draw.io diagrams with cloud architecture logos like AWS, Azure, GCP. So if you want to create cloud architecture diagrams, this is the best choice.
## How It Works
@@ -260,12 +284,28 @@ The application uses the following technologies:
Diagrams are represented as XML that can be rendered in draw.io. The AI processes your commands and generates or modifies this XML accordingly.
## Project Structure
```
app/ # Next.js App Router
api/chat/ # Chat API endpoint with AI tools
page.tsx # Main page with DrawIO embed
components/ # React components
chat-panel.tsx # Chat interface with diagram control
chat-input.tsx # User input component with file upload
history-dialog.tsx # Diagram version history viewer
ui/ # UI components (buttons, cards, etc.)
contexts/ # React context providers
diagram-context.tsx # Global diagram state management
lib/ # Utility functions and helpers
ai-providers.ts # Multi-provider AI configuration
utils.ts # XML processing and conversion utilities
public/ # Static assets including example images
```
## Support & Contact
**Special thanks to [ByteDance Doubao](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) for sponsoring the API token usage of the demo site!** Register on the ARK platform to get 500K free tokens for all models!
**Special thanks to [Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=next-ai-draw-io) for sponsoring next-ai-draw-io and supporting its multi-provider ecosystem!** Try its OpenAI-compatible LLM API through the [Atlas Cloud Coding Plan](https://www.atlascloud.ai/console/coding-plan).
**Special thanks to [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) for sponsoring the API token usage of the demo site!** Register on the ARK platform to get 500K free tokens for all models!
If you find this project useful, please consider [sponsoring](https://github.com/sponsors/DayuanJiang) to help me host the live demo site!
@@ -273,10 +313,6 @@ For support or inquiries, please open an issue on the GitHub repository or conta
- Email: me[at]jiang.jp
## FAQ
See [FAQ](./docs/en/FAQ.md) for common issues and solutions.
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=DayuanJiang/next-ai-draw-io&type=date&legend=top-left)](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)

View File

@@ -1,7 +1,7 @@
import type { Metadata } from "next"
import Image from "next/image"
import Link from "next/link"
import { FaGithub } from "react-icons/fa"
import Image from "@/components/image-with-basepath"
export const metadata: Metadata = {
title: "关于 - Next AI Draw.io",
@@ -10,7 +10,18 @@ export const metadata: Metadata = {
keywords: ["AI图表", "draw.io", "AWS架构", "GCP图表", "Azure图表", "LLM"],
}
function formatNumber(num: number): string {
if (num >= 1000) {
return `${num / 1000}k`
}
return num.toString()
}
export default function AboutCN() {
const dailyRequestLimit = Number(process.env.DAILY_REQUEST_LIMIT) || 20
const dailyTokenLimit = Number(process.env.DAILY_TOKEN_LIMIT) || 500000
const tpmLimit = Number(process.env.TPM_LIMIT) || 50000
return (
<div className="min-h-screen bg-gray-50">
{/* Navigation */}
@@ -61,6 +72,28 @@ export default function AboutCN() {
<p className="text-xl text-gray-600 font-medium">
AI驱动的图表创建工具 -
</p>
<div className="flex justify-center gap-4 mt-4 text-sm">
<Link
href="/about"
className="text-gray-600 hover:text-blue-600"
>
English
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/cn"
className="text-blue-600 font-semibold"
>
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/ja"
className="text-gray-600 hover:text-blue-600"
>
</Link>
</div>
</div>
<div className="relative mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-yellow-50 p-[1px] shadow-lg">
@@ -78,7 +111,7 @@ export default function AboutCN() {
<p>
{" "}
<a
href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="font-semibold text-blue-600 hover:underline"
@@ -87,7 +120,7 @@ export default function AboutCN() {
</a>
{" "}
<span className="font-semibold text-amber-700">
glm-4.7
K2-thinking
</span>{" "}
{" "}
<span className="font-semibold text-amber-700">
@@ -97,21 +130,40 @@ export default function AboutCN() {
</p>
</div>
{/* Invite Poster */}
<div className="text-center mb-5">
<a
href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
target="_blank"
rel="noopener noreferrer"
>
<Image
src="/volcengine-invite.png"
alt="火山引擎方舟 Coding Plan"
width={300}
height={400}
className="mx-auto rounded-lg"
/>
</a>
{/* Usage Limits */}
<p className="text-sm text-gray-600 mb-3">
使
</p>
<div className="grid grid-cols-3 gap-3 mb-5">
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyRequestLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyTokenLimit)}
</p>
<p className="text-xs text-gray-500">
Token/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(tpmLimit)}
</p>
<p className="text-xs text-gray-500">
Token/
</p>
</div>
</div>
{/* Divider */}
<div className="flex items-center gap-3 my-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Bring Your Own Key */}
@@ -175,106 +227,92 @@ export default function AboutCN() {
</p>
<div className="space-y-8">
{/* ResNet50 Architecture */}
{/* Animated Transformer */}
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
ResNet50模型架构动画
Transformer连接器
</h3>
<p className="text-gray-600 mb-4">
<strong>Prompt:</strong> Give me an{" "}
<strong>animated</strong> architecture diagram
of the ResNet50 model.
<strong></strong>
<strong></strong>Transformer架构图
</p>
<div className="bg-neutral-950 rounded-lg p-4 inline-block">
<Image
src="/resnet50.svg"
alt="ResNet50模型架构图"
width={480}
height={360}
className="mx-auto"
/>
</div>
<Image
src="/animated_connectors.svg"
alt="带动画连接器的Transformer架构"
width={480}
height={360}
className="mx-auto"
/>
</div>
{/* Diagram Grid */}
{/* Cloud Architecture Grid */}
<div className="grid md:grid-cols-2 gap-6">
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
RAG技术
GCP架构
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate a RAG
architecture diagram for{" "}
<strong>chat application</strong>. Use
connected diagram for data ingestion
<strong></strong> 使
<strong>GCP图标</strong>
GCP架构图
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/rag_prod.svg"
alt="RAG架构图"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/gcp_demo.svg"
alt="GCP架构图"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
React和AWS认证流程
AWS架构图
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate
authentication process using React with{" "}
<strong>AWS</strong>. Use Serverless
architecture.
<strong></strong> 使
<strong>AWS图标</strong>
AWS架构图
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/auth.svg"
alt="认证架构图"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/aws_demo.svg"
alt="AWS架构图"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Scrum流程
Azure架构图
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate agile
scrum workflow diagram for software
development team.
<strong></strong> 使
<strong>Azure图标</strong>
Azure架构图
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/agile_scrum.svg"
alt="敏捷Scrum流程图"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/azure_demo.svg"
alt="Azure架构图"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Create
visualization of Henry Chesbrough&apos;s
Open Innovation model.
<strong></strong>{" "}
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/inno.svg"
alt="开放式创新图"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/cat_demo.svg"
alt="猫咪绘图"
width={240}
height={240}
className="mx-auto"
/>
</div>
</div>
</div>
@@ -308,7 +346,7 @@ export default function AboutCN() {
<ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>
<a
href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
@@ -323,13 +361,11 @@ export default function AboutCN() {
</li>
<li>Anthropic</li>
<li>Google AI</li>
<li>Google Vertex AI</li>
<li>Azure OpenAI</li>
<li>Ollama</li>
<li>OpenRouter</li>
<li>DeepSeek</li>
<li>SiliconFlow</li>
<li>ModelScope</li>
</ul>
<p className="text-gray-700 mt-4">
<code>claude-sonnet-4-5</code>{" "}
@@ -343,7 +379,7 @@ export default function AboutCN() {
<p className="text-gray-700 mb-4 font-semibold">
{" "}
<a
href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"

View File

@@ -1,7 +1,7 @@
import type { Metadata } from "next"
import Image from "next/image"
import Link from "next/link"
import { FaGithub } from "react-icons/fa"
import Image from "@/components/image-with-basepath"
export const metadata: Metadata = {
title: "概要 - Next AI Draw.io",
@@ -17,7 +17,18 @@ export const metadata: Metadata = {
],
}
function formatNumber(num: number): string {
if (num >= 1000) {
return `${num / 1000}k`
}
return num.toString()
}
export default function AboutJA() {
const dailyRequestLimit = Number(process.env.DAILY_REQUEST_LIMIT) || 20
const dailyTokenLimit = Number(process.env.DAILY_TOKEN_LIMIT) || 500000
const tpmLimit = Number(process.env.TPM_LIMIT) || 50000
return (
<div className="min-h-screen bg-gray-50">
{/* Navigation */}
@@ -69,6 +80,28 @@ export default function AboutJA() {
AI搭載のダイアグラム作成ツール -
</p>
<div className="flex justify-center gap-4 mt-4 text-sm">
<Link
href="/about"
className="text-gray-600 hover:text-blue-600"
>
English
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/cn"
className="text-gray-600 hover:text-blue-600"
>
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/ja"
className="text-blue-600 font-semibold"
>
</Link>
</div>
</div>
<div className="relative mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-yellow-50 p-[1px] shadow-lg">
@@ -86,7 +119,7 @@ export default function AboutJA() {
<p>
<a
href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="font-semibold text-blue-600 hover:underline"
@@ -95,7 +128,7 @@ export default function AboutJA() {
</a>
{" "}
<span className="font-semibold text-amber-700">
glm-4.7
K2-thinking
</span>{" "}
使{" "}
<span className="font-semibold text-amber-700">
@@ -105,6 +138,42 @@ export default function AboutJA() {
</p>
</div>
{/* Usage Limits */}
<p className="text-sm text-gray-600 mb-3">
使
</p>
<div className="grid grid-cols-3 gap-3 mb-5">
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyRequestLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyTokenLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(tpmLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
</div>
{/* Divider */}
<div className="flex items-center gap-3 my-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Bring Your Own Key */}
<div className="text-center">
<h4 className="text-base font-bold text-gray-900 mb-2">
@@ -168,106 +237,93 @@ export default function AboutJA() {
</p>
<div className="space-y-8">
{/* ResNet50 Architecture */}
{/* Animated Transformer */}
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
ResNet50モデルアーキテクチャアニメーション
Transformerコネクタ
</h3>
<p className="text-gray-600 mb-4">
<strong>Prompt:</strong> Give me an{" "}
<strong>animated</strong> architecture diagram
of the ResNet50 model.
<strong></strong>{" "}
<strong></strong>
Transformerアーキテクチャ図を作成してください
</p>
<div className="bg-neutral-950 rounded-lg p-4 inline-block">
<Image
src="/resnet50.svg"
alt="ResNet50モデルアーキテクチャ図"
width={480}
height={360}
className="mx-auto"
/>
</div>
<Image
src="/animated_connectors.svg"
alt="アニメーションコネクタ付きTransformerアーキテクチャ"
width={480}
height={360}
className="mx-auto"
/>
</div>
{/* Diagram Grid */}
{/* Cloud Architecture Grid */}
<div className="grid md:grid-cols-2 gap-6">
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
RAG技術ダイアグラム
GCPアーキテクチャ図
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate a RAG
architecture diagram for{" "}
<strong>chat application</strong>. Use
connected diagram for data ingestion
<strong></strong>{" "}
<strong>GCPアイコン</strong>
使GCPアーキテクチャ図を生成してください
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/rag_prod.svg"
alt="RAGアーキテクチャ図"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/gcp_demo.svg"
alt="GCPアーキテクチャ図"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
ReactとAWSによる認証
AWSアーキテクチャ図
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate
authentication process using React with{" "}
<strong>AWS</strong>. Use Serverless
architecture.
<strong></strong>{" "}
<strong>AWSアイコン</strong>
使AWSアーキテクチャ図を生成してください
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/auth.svg"
alt="認証アーキテクチャ図"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/aws_demo.svg"
alt="AWSアーキテクチャ図"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Azureアーキテクチャ図
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate agile
scrum workflow diagram for software
development team.
<strong></strong>{" "}
<strong>Azureアイコン</strong>
使Azureアーキテクチャ図を生成してください
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/agile_scrum.svg"
alt="アジャイルスクラム図"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/azure_demo.svg"
alt="Azureアーキテクチャ図"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Create
visualization of Henry Chesbrough&apos;s
Open Innovation model.
<strong></strong>{" "}
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/inno.svg"
alt="オープンイノベーション図"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/cat_demo.svg"
alt="猫の絵"
width={240}
height={240}
className="mx-auto"
/>
</div>
</div>
</div>
@@ -305,7 +361,7 @@ export default function AboutJA() {
<ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>
<a
href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
@@ -320,13 +376,11 @@ export default function AboutJA() {
</li>
<li>Anthropic</li>
<li>Google AI</li>
<li>Google Vertex AI</li>
<li>Azure OpenAI</li>
<li>Ollama</li>
<li>OpenRouter</li>
<li>DeepSeek</li>
<li>SiliconFlow</li>
<li>ModelScope</li>
</ul>
<p className="text-gray-700 mt-4">
<code>claude-sonnet-4-5</code>
@@ -340,7 +394,7 @@ export default function AboutJA() {
<p className="text-gray-700 mb-4 font-semibold">
APIトークン使用を支援してくださった{" "}
<a
href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"

View File

@@ -1,7 +1,7 @@
import type { Metadata } from "next"
import Image from "next/image"
import Link from "next/link"
import { FaGithub } from "react-icons/fa"
import Image from "@/components/image-with-basepath"
export const metadata: Metadata = {
title: "About - Next AI Draw.io",
@@ -17,7 +17,18 @@ export const metadata: Metadata = {
],
}
function formatNumber(num: number): string {
if (num >= 1000) {
return `${num / 1000}k`
}
return num.toString()
}
export default function About() {
const dailyRequestLimit = Number(process.env.DAILY_REQUEST_LIMIT) || 20
const dailyTokenLimit = Number(process.env.DAILY_TOKEN_LIMIT) || 500000
const tpmLimit = Number(process.env.TPM_LIMIT) || 50000
return (
<div className="min-h-screen bg-gray-50">
{/* Navigation */}
@@ -69,6 +80,28 @@ export default function About() {
AI-Powered Diagram Creation Tool - Chat, Draw,
Visualize
</p>
<div className="flex justify-center gap-4 mt-4 text-sm">
<Link
href="/about"
className="text-blue-600 font-semibold"
>
English
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/cn"
className="text-gray-600 hover:text-blue-600"
>
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/ja"
className="text-gray-600 hover:text-blue-600"
>
</Link>
</div>
</div>
<div className="relative mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-yellow-50 p-[1px] shadow-lg">
@@ -87,7 +120,7 @@ export default function About() {
Great news! Thanks to the generous
sponsorship from{" "}
<a
href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="font-semibold text-blue-600 hover:underline"
@@ -96,7 +129,7 @@ export default function About() {
</a>
, the demo site now uses the powerful{" "}
<span className="font-semibold text-amber-700">
glm-4.7
K2-thinking
</span>{" "}
model for better diagram generation! Sign up
via the link to get{" "}
@@ -107,6 +140,42 @@ export default function About() {
</p>
</div>
{/* Usage Limits */}
<p className="text-sm text-gray-600 mb-3">
Please note the current usage limits:
</p>
<div className="grid grid-cols-3 gap-3 mb-5">
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyRequestLimit)}
</p>
<p className="text-xs text-gray-500">
requests/day
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyTokenLimit)}
</p>
<p className="text-xs text-gray-500">
tokens/day
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(tpmLimit)}
</p>
<p className="text-xs text-gray-500">
tokens/min
</p>
</div>
</div>
{/* Divider */}
<div className="flex items-center gap-3 my-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Bring Your Own Key */}
<div className="text-center">
<h4 className="text-base font-bold text-gray-900 mb-2">
@@ -182,106 +251,96 @@ export default function About() {
</p>
<div className="space-y-8">
{/* ResNet50 Architecture */}
{/* Animated Transformer */}
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Animated ResNet50 Model Architecture
Animated Transformer Connectors
</h3>
<p className="text-gray-600 mb-4">
<strong>Prompt:</strong> Give me an{" "}
<strong>animated</strong> architecture diagram
of the ResNet50 model.
<strong>animated connector</strong> diagram of
transformer&apos;s architecture.
</p>
<div className="bg-neutral-950 rounded-lg p-4 inline-block">
<Image
src="/resnet50.svg"
alt="Architecture diagram for ResNet50 model"
width={480}
height={360}
className="mx-auto"
/>
</div>
<Image
src="/animated_connectors.svg"
alt="Transformer Architecture with Animated Connectors"
width={480}
height={360}
className="mx-auto"
/>
</div>
{/* Diagram Grid */}
{/* Cloud Architecture Grid */}
<div className="grid md:grid-cols-2 gap-6">
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
RAG Technique Diagram
GCP Architecture Diagram
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate a RAG
architecture diagram for{" "}
<strong>chat application</strong>. Use
connected diagram for data ingestion
<strong>Prompt:</strong> Generate a GCP
architecture diagram with{" "}
<strong>GCP icons</strong>. Users connect to
a frontend hosted on an instance.
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/rag_prod.svg"
alt="RAG Architecture Diagram"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/gcp_demo.svg"
alt="GCP Architecture Diagram"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Authentication using React and AWS
AWS Architecture Diagram
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate
authentication process using React with{" "}
<strong>AWS</strong>. Use Serverless
architecture.
<strong>Prompt:</strong> Generate an AWS
architecture diagram with{" "}
<strong>AWS icons</strong>. Users connect to
a frontend hosted on an instance.
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/auth.svg"
alt="Authentication Architecture Diagram"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/aws_demo.svg"
alt="AWS Architecture Diagram"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Agile Scrum Process
Azure Architecture Diagram
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate agile
scrum workflow diagram for software
development team.
<strong>Prompt:</strong> Generate an Azure
architecture diagram with{" "}
<strong>Azure icons</strong>. Users connect
to a frontend hosted on an instance.
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/agile_scrum.svg"
alt="Agile Scrum Diagram"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/azure_demo.svg"
alt="Azure Architecture Diagram"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Open Innovation
Cat Sketch
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Create
visualization of Henry Chesbrough&apos;s
Open Innovation model.
<strong>Prompt:</strong> Draw a cute cat for
me.
</p>
<div className="bg-neutral-950 rounded-lg p-4 flex items-center justify-center w-full h-[400px]">
<Image
src="/inno.svg"
alt="Open Innovation Diagram"
width={480}
height={360}
className="max-w-full max-h-full object-contain"
/>
</div>
<Image
src="/cat_demo.svg"
alt="Cat Drawing"
width={240}
height={240}
className="mx-auto"
/>
</div>
</div>
</div>
@@ -321,7 +380,7 @@ export default function About() {
<ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>
<a
href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
@@ -336,13 +395,11 @@ export default function About() {
</li>
<li>Anthropic</li>
<li>Google AI</li>
<li>Google Vertex AI</li>
<li>Azure OpenAI</li>
<li>Ollama</li>
<li>OpenRouter</li>
<li>DeepSeek</li>
<li>SiliconFlow</li>
<li>ModelScope</li>
</ul>
<p className="text-gray-700 mt-4">
Note that <code>claude-sonnet-4-5</code> has trained on
@@ -358,7 +415,7 @@ export default function About() {
<p className="text-gray-700 mb-4 font-semibold">
Special thanks to{" "}
<a
href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"

View File

@@ -1,65 +0,0 @@
import { getApiEndpoint } from "@/lib/base-path"
import type { ProviderName } from "@/lib/types/model-config"
export const SESSION_PASSWORD_KEY = "next-ai-draw-io-admin-password"
// ── Shared types ─────────────────────────────────────────────────────
export type SecretValue = { isSet: true; hint: string }
export function isSecretValue(v: unknown): v is SecretValue {
return typeof v === "object" && v !== null && "isSet" in v
}
export interface SettingState {
key: string
source: "file" | "env" | "default"
value: string | SecretValue | null
}
export type SettingsMap = Record<string, SettingState>
// Editable text of a saved setting; secrets have none (write-only)
export function savedTextOf(state: SettingState | undefined): string {
return state && !isSecretValue(state.value) ? (state.value ?? "") : ""
}
// Admin provider in client state. Secret fields hold either a masked
// marker (unchanged) or a plaintext string (new value).
export interface AdminProvider {
id: string
provider: ProviderName
name?: string
apiKey?: string | SecretValue
baseUrl?: string
awsAccessKeyId?: string | SecretValue
awsSecretAccessKey?: string | SecretValue
awsRegion?: string
vertexApiKey?: string | SecretValue
models: string[]
isDefault?: boolean
}
// Provider defined in AI_MODELS_CONFIG / ai-models.json — shown read-only
export interface EnvProvider {
name: string
provider: ProviderName
models: string[]
isDefault: boolean
}
export async function adminFetch(path: string, pw: string, init?: RequestInit) {
const res = await fetch(getApiEndpoint(path), {
...init,
headers: {
...init?.headers,
"x-admin-password": pw,
...(init?.body ? { "Content-Type": "application/json" } : {}),
},
})
const data = await res.json().catch(() => ({}))
if (!res.ok) {
throw new Error(data.error || `Request failed (${res.status})`)
}
return data
}

View File

@@ -1,609 +0,0 @@
import {
AlertCircle,
Check,
Loader2,
Plus,
Star,
Trash2,
X,
Zap,
} from "lucide-react"
import { useState } from "react"
import { ProviderCredentialsFields } from "@/components/provider-credentials-fields"
import { ProviderLogo } from "@/components/provider-logo"
import {
AlertDialog,
AlertDialogAction,
AlertDialogCancel,
AlertDialogContent,
AlertDialogDescription,
AlertDialogFooter,
AlertDialogHeader,
AlertDialogTitle,
} from "@/components/ui/alert-dialog"
import { Button } from "@/components/ui/button"
import { Input } from "@/components/ui/input"
import { Label } from "@/components/ui/label"
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
} from "@/components/ui/select"
import { Switch } from "@/components/ui/switch"
import { useDictionary } from "@/hooks/use-dictionary"
import { formatMessage } from "@/lib/i18n/utils"
import {
FIXED_CRED_PROVIDERS,
PROVIDER_INFO,
type ProviderName,
SUGGESTED_MODELS,
} from "@/lib/types/model-config"
import { cn } from "@/lib/utils"
import {
type AdminProvider,
adminFetch,
type EnvProvider,
} from "./admin-shared"
import { SecretInput } from "./setting-field"
// ── Models section (mirrors the user ModelConfigDialog) ──────────────
function ProviderDetail({
provider,
disabled,
password,
onUpdate,
onDelete,
}: {
provider: AdminProvider
disabled: boolean
password: string
onUpdate: (patch: Partial<AdminProvider>) => void
onDelete: () => void
}) {
const dict = useDictionary()
const [modelInput, setModelInput] = useState("")
const [deleteOpen, setDeleteOpen] = useState(false)
const [testing, setTesting] = useState<string | null>(null)
const [testResults, setTestResults] = useState<
Record<string, { ok: boolean; message: string }>
>({})
const info = PROVIDER_INFO[provider.provider]
const suggestions = (SUGGESTED_MODELS[provider.provider] || []).filter(
(m) => !provider.models.includes(m),
)
const addModel = (modelId: string) => {
const trimmed = modelId.trim()
if (!trimmed || provider.models.includes(trimmed)) return
onUpdate({ models: [...provider.models, trimmed] })
setModelInput("")
}
const testModel = async (modelId: string) => {
setTesting(modelId)
try {
const data = await adminFetch("/api/admin/test-model", password, {
method: "POST",
body: JSON.stringify({ provider, modelId }),
})
setTestResults((prev) => ({
...prev,
[modelId]: data.valid
? {
ok: true,
message: formatMessage(dict.admin.testOk, {
ms: data.responseTime,
}),
}
: {
ok: false,
message: data.error || dict.admin.testFailed,
},
}))
} catch (err) {
setTestResults((prev) => ({
...prev,
[modelId]: {
ok: false,
message:
err instanceof Error
? err.message
: dict.admin.testFailed,
},
}))
} finally {
setTesting(null)
}
}
return (
<div className="space-y-6">
<div className="flex items-center gap-3">
<div className="flex h-10 w-10 items-center justify-center rounded-lg bg-muted">
<ProviderLogo
provider={provider.provider}
className="size-5"
/>
</div>
<div className="min-w-0 flex-1">
<h3 className="font-semibold">{info.label}</h3>
<p className="text-xs text-muted-foreground">
{provider.models.length === 0
? dict.admin.noModelsConfigured
: formatMessage(
provider.models.length === 1
? dict.admin.modelCount
: dict.admin.modelCountPlural,
{ count: provider.models.length },
)}
</p>
</div>
<label className="flex cursor-pointer items-center gap-1.5 text-xs text-muted-foreground">
<Star
className={cn(
"h-3.5 w-3.5",
provider.isDefault &&
"fill-amber-400 text-amber-400",
)}
aria-hidden="true"
/>
{dict.admin.default}
<Switch
checked={!!provider.isDefault}
disabled={disabled}
aria-label={dict.admin.setAsDefault}
onCheckedChange={(checked) =>
onUpdate({ isDefault: checked })
}
/>
</label>
<Button
type="button"
variant="ghost"
size="sm"
disabled={disabled}
className="text-destructive hover:bg-destructive/10 hover:text-destructive"
onClick={() => setDeleteOpen(true)}
>
<Trash2 className="mr-1.5 h-4 w-4" aria-hidden="true" />
{dict.admin.delete}
</Button>
</div>
{/* Credentials (shared with the user ModelConfigDialog) */}
<ProviderCredentialsFields
provider={provider.provider}
name={provider.name}
baseUrl={provider.baseUrl}
awsRegion={provider.awsRegion}
disabled={disabled}
onChange={(field, value) => onUpdate({ [field]: value })}
renderSecret={({ field, id }) => (
// Bare id keeps the shared component's <Label htmlFor={id}>
// associated; only one ProviderDetail is mounted at a time.
<SecretInput
id={id}
keepOnEmpty
value={provider[field]}
disabled={disabled}
onChange={(v) => onUpdate({ [field]: v })}
/>
)}
/>
{/* Models */}
<div>
<div className="mb-2 flex flex-wrap items-center justify-between gap-2">
<Label className="text-xs font-medium uppercase tracking-wider text-muted-foreground">
{dict.admin.models}
</Label>
<div className="flex items-center gap-1.5">
<Input
value={modelInput}
disabled={disabled}
placeholder={dict.admin.modelIdPlaceholder}
spellCheck={false}
className="h-8 w-48 font-mono text-xs"
onChange={(e) => setModelInput(e.target.value)}
onKeyDown={(e) => {
if (e.key === "Enter") addModel(modelInput)
}}
/>
<Button
type="button"
variant="outline"
size="sm"
className="h-8"
disabled={disabled || !modelInput.trim()}
aria-label={dict.admin.addModel}
onClick={() => addModel(modelInput)}
>
<Plus className="h-3.5 w-3.5" aria-hidden="true" />
</Button>
{suggestions.length > 0 && (
<Select
disabled={disabled}
onValueChange={(v) => addModel(v)}
>
<SelectTrigger className="h-8 w-28 text-xs">
{dict.admin.suggested}
</SelectTrigger>
<SelectContent className="max-h-72">
{suggestions.map((m) => (
<SelectItem
key={m}
value={m}
className="font-mono text-xs"
>
{m}
</SelectItem>
))}
</SelectContent>
</Select>
)}
</div>
</div>
<div className="overflow-hidden rounded-lg border">
{provider.models.length === 0 ? (
<p className="p-5 text-center text-sm text-muted-foreground">
{dict.admin.addProviderToOfferModels}
</p>
) : (
<ul className="divide-y">
{provider.models.map((modelId, index) => {
const result = testResults[modelId]
return (
<li
key={modelId}
className="flex items-center gap-2 px-3 py-2"
>
<span className="min-w-0 flex-1 truncate font-mono text-xs">
{modelId}
{provider.isDefault &&
index === 0 && (
<span className="ml-2 rounded bg-amber-500/10 px-1.5 py-0.5 text-[10px] font-medium uppercase text-amber-600 dark:text-amber-400">
{
dict.admin
.defaultModel
}
</span>
)}
</span>
{result && (
<span
className={cn(
"flex items-center gap-1 text-xs",
result.ok
? "text-green-600 dark:text-green-400"
: "text-destructive",
)}
>
{result.ok ? (
<Check
className="h-3.5 w-3.5"
aria-hidden="true"
/>
) : (
<AlertCircle
className="h-3.5 w-3.5"
aria-hidden="true"
/>
)}
<span className="max-w-48 truncate">
{result.message}
</span>
</span>
)}
<Button
type="button"
variant="ghost"
size="sm"
className="h-7 px-2 text-xs"
disabled={
disabled || testing !== null
}
onClick={() =>
void testModel(modelId)
}
>
{testing === modelId ? (
<Loader2
className="h-3.5 w-3.5 animate-spin motion-reduce:animate-none"
aria-hidden="true"
/>
) : (
<Zap
className="h-3.5 w-3.5"
aria-hidden="true"
/>
)}
<span className="ml-1">
{dict.admin.test}
</span>
</Button>
<Button
type="button"
variant="ghost"
size="icon"
className="h-7 w-7"
disabled={disabled}
aria-label={formatMessage(
dict.admin.removeModel,
{ model: modelId },
)}
onClick={() =>
onUpdate({
models: provider.models.filter(
(m) => m !== modelId,
),
})
}
>
<X
className="h-3.5 w-3.5"
aria-hidden="true"
/>
</Button>
</li>
)
})}
</ul>
)}
</div>
</div>
<AlertDialog open={deleteOpen} onOpenChange={setDeleteOpen}>
<AlertDialogContent>
<AlertDialogHeader>
<AlertDialogTitle>
{formatMessage(dict.admin.deleteProviderTitle, {
name: provider.name || info.label,
})}
</AlertDialogTitle>
<AlertDialogDescription>
{dict.admin.deleteProviderDesc}
</AlertDialogDescription>
</AlertDialogHeader>
<AlertDialogFooter>
<AlertDialogCancel>
{dict.admin.cancel}
</AlertDialogCancel>
<AlertDialogAction
className="bg-destructive text-destructive-foreground hover:bg-destructive/90"
onClick={() => {
setDeleteOpen(false)
onDelete()
}}
>
{dict.admin.delete}
</AlertDialogAction>
</AlertDialogFooter>
</AlertDialogContent>
</AlertDialog>
</div>
)
}
export function ModelsSection({
providers,
envProviders,
disabled,
password,
onChange,
}: {
providers: AdminProvider[]
envProviders: EnvProvider[]
disabled: boolean
password: string
onChange: (providers: AdminProvider[]) => void
}) {
const dict = useDictionary()
const [selectedId, setSelectedId] = useState<string | null>(
providers[0]?.id ?? null,
)
const selected = providers.find((p) => p.id === selectedId)
const selectedEnv = envProviders.find((p) => `env:${p.name}` === selectedId)
const addProvider = (provider: ProviderName) => {
const newProvider: AdminProvider = {
id: crypto.randomUUID(),
provider,
models: [],
isDefault: providers.length === 0,
}
onChange([...providers, newProvider])
setSelectedId(newProvider.id)
}
const updateProvider = (id: string, patch: Partial<AdminProvider>) => {
onChange(
providers.map((p) => {
if (p.id !== id) {
// Only one default at a time
return patch.isDefault ? { ...p, isDefault: false } : p
}
return { ...p, ...patch }
}),
)
}
const deleteProvider = (id: string) => {
const next = providers.filter((p) => p.id !== id)
onChange(next)
setSelectedId(next[0]?.id ?? null)
}
return (
<div className="flex min-h-72 flex-col sm:flex-row">
{/* Provider list */}
<div className="flex w-full shrink-0 flex-col border-b sm:w-52 sm:border-b-0 sm:border-r">
<div className="flex-1 space-y-1 p-2">
{providers.length === 0 && envProviders.length === 0 && (
<p className="px-2 py-6 text-center text-xs text-muted-foreground">
{dict.admin.addProviderHint}
</p>
)}
{envProviders.map((p) => (
<button
key={`env:${p.name}`}
type="button"
onClick={() => setSelectedId(`env:${p.name}`)}
className={cn(
"flex w-full items-center gap-2 rounded-md px-2.5 py-2 text-left text-sm hover:bg-muted/60 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring",
selectedId === `env:${p.name}` &&
"bg-muted font-medium",
)}
>
<ProviderLogo provider={p.provider} />
<span className="min-w-0 flex-1 truncate">
{p.name}
</span>
<span className="rounded bg-muted px-1 py-0.5 text-[10px] font-medium uppercase text-muted-foreground">
{dict.admin.sourceEnv}
</span>
{p.isDefault && (
<Star
className="h-3.5 w-3.5 shrink-0 fill-amber-400 text-amber-400"
aria-label={dict.admin.defaultProvider}
/>
)}
</button>
))}
{providers.map((p) => (
<button
key={p.id}
type="button"
onClick={() => setSelectedId(p.id)}
className={cn(
"flex w-full items-center gap-2 rounded-md px-2.5 py-2 text-left text-sm hover:bg-muted/60 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring",
selectedId === p.id && "bg-muted font-medium",
)}
>
<ProviderLogo provider={p.provider} />
<span className="min-w-0 flex-1 truncate">
{p.name || PROVIDER_INFO[p.provider].label}
</span>
{p.isDefault && (
<Star
className="h-3.5 w-3.5 shrink-0 fill-amber-400 text-amber-400"
aria-label={dict.admin.defaultProvider}
/>
)}
</button>
))}
</div>
<div className="border-t p-2">
<Select
disabled={disabled}
onValueChange={(v) => addProvider(v as ProviderName)}
>
<SelectTrigger className="w-full">
<Plus
className="mr-1 h-4 w-4 text-muted-foreground"
aria-hidden="true"
/>
{dict.modelConfig.addProvider}
</SelectTrigger>
<SelectContent className="max-h-72">
{(Object.keys(PROVIDER_INFO) as ProviderName[]).map(
(p) => {
// Global-credential providers already in
// the env config can't be added here —
// panel credentials would override theirs
const envBlocked =
FIXED_CRED_PROVIDERS.includes(p) &&
envProviders.some(
(e) => e.provider === p,
)
return (
<SelectItem
key={p}
value={p}
disabled={envBlocked}
>
<div className="flex items-center gap-2">
<ProviderLogo provider={p} />
{PROVIDER_INFO[p].label}
{envBlocked && (
<span className="text-xs text-muted-foreground">
{
dict.admin
.managedViaEnv
}
</span>
)}
</div>
</SelectItem>
)
},
)}
</SelectContent>
</Select>
</div>
</div>
{/* Detail */}
<div className="min-w-0 flex-1 p-4">
{selected ? (
<ProviderDetail
key={selected.id}
provider={selected}
disabled={disabled}
password={password}
onUpdate={(patch) => updateProvider(selected.id, patch)}
onDelete={() => deleteProvider(selected.id)}
/>
) : selectedEnv ? (
<div className="space-y-4">
<div className="flex items-center gap-3">
<div className="flex h-10 w-10 items-center justify-center rounded-lg bg-muted">
<ProviderLogo
provider={selectedEnv.provider}
className="size-5"
/>
</div>
<div className="min-w-0 flex-1">
<h3 className="font-semibold">
{selectedEnv.name}
</h3>
<p className="text-xs text-muted-foreground">
{dict.admin.envReadOnly}
</p>
</div>
</div>
<div className="overflow-hidden rounded-lg border">
<ul className="divide-y">
{selectedEnv.models.map((modelId, index) => (
<li
key={modelId}
className="flex items-center gap-2 px-3 py-2"
>
<span className="min-w-0 flex-1 truncate font-mono text-xs">
{modelId}
{selectedEnv.isDefault &&
index === 0 && (
<span className="ml-2 rounded bg-amber-500/10 px-1.5 py-0.5 text-[10px] font-medium uppercase text-amber-600 dark:text-amber-400">
{
dict.admin
.defaultModel
}
</span>
)}
</span>
</li>
))}
</ul>
</div>
</div>
) : (
<p className="py-12 text-center text-sm text-muted-foreground">
{dict.admin.selectProviderHint}
</p>
)}
</div>
</div>
)
}

View File

@@ -1,610 +0,0 @@
"use client"
import {
AlertTriangle,
Check,
Loader2,
LockKeyhole,
ShieldCheck,
} from "lucide-react"
import { useCallback, useEffect, useState } from "react"
import { Button } from "@/components/ui/button"
import { Input } from "@/components/ui/input"
import { Label } from "@/components/ui/label"
import { Switch } from "@/components/ui/switch"
import { useDictionary } from "@/hooks/use-dictionary"
import {
SETTING_GROUPS,
SETTINGS_BY_GROUP,
} from "@/lib/admin/settings-registry"
import { getApiEndpoint } from "@/lib/base-path"
import { formatMessage } from "@/lib/i18n/utils"
import { cn } from "@/lib/utils"
import {
type AdminProvider,
adminFetch,
type EnvProvider,
isSecretValue,
SESSION_PASSWORD_KEY,
type SettingState,
type SettingsMap,
savedTextOf,
} from "./admin-shared"
import { ModelsSection } from "./models-section"
import { SettingField } from "./setting-field"
// ── Page ─────────────────────────────────────────────────────────────
const NAV_GROUP_IDS = ["models", ...SETTING_GROUPS.map((g) => g.id)]
export default function AdminPage() {
const dict = useDictionary()
// Localized group title/description, keyed by group id
const groupText = (id: string) =>
(
dict.admin.groups as Record<
string,
{ title: string; description: string } | undefined
>
)[id]
const navItems = NAV_GROUP_IDS.map((id) => ({
id,
title:
id === "models" ? dict.admin.models : (groupText(id)?.title ?? id),
}))
const [password, setPassword] = useState("")
const [authedPassword, setAuthedPassword] = useState<string | null>(null)
const [authError, setAuthError] = useState("")
const [authLoading, setAuthLoading] = useState(false)
const [writable, setWritable] = useState(true)
// Models section state
const [providers, setProviders] = useState<AdminProvider[]>([])
const [envProviders, setEnvProviders] = useState<EnvProvider[]>([])
const [savedProviders, setSavedProviders] = useState<string>("[]")
const providersDirty = JSON.stringify(providers) !== savedProviders
// General settings state
const [settings, setSettings] = useState<SettingsMap>({})
const [pending, setPending] = useState<Record<string, string | null>>({})
const [errors, setErrors] = useState<Record<string, string>>({})
const [enabledGroups, setEnabledGroups] = useState<Record<string, boolean>>(
{},
)
const [saving, setSaving] = useState(false)
const [saveMessage, setSaveMessage] = useState<{
ok: boolean
text: string
} | null>(null)
const [activeGroup, setActiveGroup] = useState("models")
const dirtyCount = Object.keys(pending).length + (providersDirty ? 1 : 0)
const applySettingsResponse = useCallback(
(data: { writable: boolean; settings: SettingState[] }) => {
setWritable(data.writable)
const map: SettingsMap = {}
for (const s of data.settings) map[s.key] = s
setSettings(map)
// Seed each toggle once from whether the group has configured
// values; don't stomp a user's explicit toggle on later saves
setEnabledGroups((prev) => {
const next = { ...prev }
for (const group of SETTING_GROUPS) {
if (!group.toggleable || group.id in next) continue
next[group.id] = !!SETTINGS_BY_GROUP.get(group.id)?.some(
(d) => map[d.key]?.source !== "default",
)
}
return next
})
},
[],
)
const applyProvidersResponse = useCallback(
(data: {
providers: AdminProvider[]
envProviders?: EnvProvider[]
}) => {
setProviders(data.providers)
setSavedProviders(JSON.stringify(data.providers))
setEnvProviders(data.envProviders ?? [])
},
[],
)
const login = useCallback(
async (pw: string) => {
setAuthLoading(true)
setAuthError("")
try {
const [settingsData, providersData] = await Promise.all([
adminFetch("/api/admin/settings", pw),
adminFetch("/api/admin/providers", pw),
])
applySettingsResponse(settingsData)
applyProvidersResponse(providersData)
setAuthedPassword(pw)
sessionStorage.setItem(SESSION_PASSWORD_KEY, pw)
} catch (err) {
setAuthError(
err instanceof Error ? err.message : dict.admin.loginFailed,
)
} finally {
setAuthLoading(false)
}
},
[applySettingsResponse, applyProvidersResponse, dict],
)
// Restore session on mount
useEffect(() => {
const stored = sessionStorage.getItem(SESSION_PASSWORD_KEY)
if (stored) void login(stored)
}, [login])
// Warn before leaving with unsaved changes
const hasDirty = dirtyCount > 0
useEffect(() => {
if (!hasDirty) return
const handler = (e: BeforeUnloadEvent) => {
e.preventDefault()
// Some browsers only show the prompt when returnValue is set
e.returnValue = ""
}
window.addEventListener("beforeunload", handler)
return () => window.removeEventListener("beforeunload", handler)
}, [hasDirty])
// Highlight the section currently in view in the sidebar
useEffect(() => {
if (!authedPassword) return
const observer = new IntersectionObserver(
(entries) => {
const visible = entries
.filter((e) => e.isIntersecting)
.sort(
(a, b) =>
a.boundingClientRect.top - b.boundingClientRect.top,
)
if (visible[0]) setActiveGroup(visible[0].target.id)
},
{ rootMargin: "-10% 0px -50% 0px" },
)
for (const id of NAV_GROUP_IDS) {
const el = document.getElementById(id)
if (el) observer.observe(el)
}
return () => observer.disconnect()
}, [authedPassword])
const handleChange = useCallback(
(key: string, value: string | null) => {
setSaveMessage(null)
setErrors((prev) => {
if (!(key in prev)) return prev
const next = { ...prev }
delete next[key]
return next
})
setPending((prev) => {
const state = settings[key]
const isRevert =
value !== null &&
state?.source === "file" &&
!isSecretValue(state?.value) &&
value === savedTextOf(state)
const isNoop =
value === "" &&
(!state || state.source !== "file") &&
!isSecretValue(state?.value)
if (isRevert || isNoop) {
const next = { ...prev }
delete next[key]
return next
}
return { ...prev, [key]: value === "" ? null : value }
})
},
[settings],
)
// Toggling a group off stages deletion of its saved values so the
// feature actually turns off on save; toggling on drops those deletions.
const handleGroupToggle = useCallback(
(groupId: string, enabled: boolean) => {
setSaveMessage(null)
setEnabledGroups((prev) => ({ ...prev, [groupId]: enabled }))
const keys = (SETTINGS_BY_GROUP.get(groupId) ?? []).map(
(d) => d.key,
)
setPending((prev) => {
const next = { ...prev }
for (const key of keys) {
if (!enabled) {
// Stage deletion only for values currently set
if (settings[key]?.source !== "default")
next[key] = null
} else if (next[key] === null) {
delete next[key]
}
}
return next
})
},
[settings],
)
const handleSave = useCallback(async () => {
if (!authedPassword || dirtyCount === 0) return
setSaving(true)
setSaveMessage(null)
setErrors({})
try {
if (providersDirty) {
const data = await adminFetch(
"/api/admin/providers",
authedPassword,
{ method: "PUT", body: JSON.stringify({ providers }) },
)
applyProvidersResponse(data)
}
if (Object.keys(pending).length > 0) {
const res = await fetch(getApiEndpoint("/api/admin/settings"), {
method: "PUT",
headers: {
"Content-Type": "application/json",
"x-admin-password": authedPassword,
},
body: JSON.stringify({ values: pending }),
})
const data = await res.json().catch(() => ({}))
if (!res.ok) {
// Per-field validation errors come back as {errors: {...}}
if (data.errors) {
setErrors(data.errors)
const firstKey = Object.keys(data.errors)[0]
document.getElementById(`setting-${firstKey}`)?.focus()
throw new Error(dict.admin.invalidSettings)
}
throw new Error(
data.error || `Request failed (${res.status})`,
)
}
applySettingsResponse(data)
setPending({})
}
setSaveMessage({
ok: true,
text: dict.admin.saved,
})
setTimeout(() => setSaveMessage(null), 4000)
} catch (err) {
setSaveMessage({
ok: false,
text:
err instanceof Error ? err.message : dict.admin.saveFailed,
})
} finally {
setSaving(false)
}
}, [
authedPassword,
pending,
providers,
providersDirty,
dirtyCount,
applySettingsResponse,
applyProvidersResponse,
dict,
])
// ── Login screen ─────────────────────────────────────────────────
if (!authedPassword) {
return (
<div className="flex min-h-screen items-center justify-center bg-background p-4">
<form
className="w-full max-w-sm space-y-4 rounded-lg border bg-card p-6 shadow-sm"
onSubmit={(e) => {
e.preventDefault()
void login(password)
}}
>
<div className="flex items-center gap-2">
<LockKeyhole
className="h-5 w-5 text-muted-foreground"
aria-hidden="true"
/>
<h1 className="text-lg font-semibold">
{dict.admin.title}
</h1>
</div>
<p className="text-sm text-muted-foreground">
{dict.admin.loginPrompt}
</p>
<div className="space-y-1.5">
<Label htmlFor="admin-password">
{dict.admin.password}
</Label>
<Input
id="admin-password"
name="admin-password"
type="password"
value={password}
autoComplete="current-password"
spellCheck={false}
onChange={(e) => setPassword(e.target.value)}
/>
</div>
<p
className={cn(
"text-sm text-destructive",
!authError && "sr-only",
)}
aria-live="polite"
>
{authError}
</p>
<Button
type="submit"
className="w-full"
disabled={authLoading}
>
{authLoading ? (
<>
<Loader2
className="mr-2 h-4 w-4 animate-spin motion-reduce:animate-none"
aria-hidden="true"
/>
{dict.admin.signingIn}
</>
) : (
dict.admin.signIn
)}
</Button>
</form>
</div>
)
}
// ── Settings screen ──────────────────────────────────────────────
return (
<div className="min-h-screen bg-background">
<header className="sticky top-0 z-20 border-b bg-background/95 backdrop-blur">
<div className="mx-auto flex max-w-6xl items-center justify-between px-4 py-3">
<div className="flex items-center gap-2">
<ShieldCheck
className="h-5 w-5 text-primary"
aria-hidden="true"
/>
<h1 className="text-lg font-semibold">
{dict.admin.title}
</h1>
</div>
<p className="text-xs text-muted-foreground">
{dict.admin.precedence}
</p>
</div>
</header>
{!writable && (
<div className="border-b bg-amber-500/10">
<div className="mx-auto flex max-w-6xl items-center gap-2 px-4 py-3 text-sm text-amber-700 dark:text-amber-400">
<AlertTriangle
className="h-4 w-4 shrink-0"
aria-hidden="true"
/>
{dict.admin.notWritable}
</div>
</div>
)}
<div className="mx-auto flex max-w-6xl gap-8 px-4 py-6">
<nav
aria-label={dict.admin.settingGroups}
className="sticky top-20 hidden h-fit w-44 shrink-0 md:block"
>
<ul className="space-y-1">
{navItems.map((item) => (
<li key={item.id}>
<a
href={`#${item.id}`}
aria-current={
activeGroup === item.id
? "true"
: undefined
}
className={cn(
"block rounded-md px-3 py-1.5 text-sm hover:bg-muted hover:text-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring",
activeGroup === item.id
? "bg-muted font-medium text-foreground"
: "text-muted-foreground",
)}
>
{item.title}
</a>
</li>
))}
</ul>
</nav>
<main className="min-w-0 flex-1 pb-24">
{/* Models section */}
<section aria-labelledby="models" className="mb-10">
<h2
id="models"
className="scroll-mt-20 text-base font-semibold"
>
{dict.admin.models}
</h2>
<p className="mb-3 mt-1 text-sm text-muted-foreground text-pretty">
{dict.admin.modelsDescription}
</p>
<div className="overflow-hidden rounded-lg border bg-card">
<ModelsSection
providers={providers}
envProviders={envProviders}
disabled={!writable || saving}
password={authedPassword}
onChange={(next) => {
setSaveMessage(null)
setProviders(next)
}}
/>
</div>
</section>
{/* Registry-driven groups */}
{SETTING_GROUPS.map((group) => {
const defs = SETTINGS_BY_GROUP.get(group.id) ?? []
const groupOff =
group.toggleable && !enabledGroups[group.id]
const fieldsDisabled = !writable || saving || !!groupOff
const gt = groupText(group.id)
const title = gt?.title ?? group.title
return (
<section
key={group.id}
aria-labelledby={group.id}
className="mb-10"
>
<div className="flex items-center justify-between gap-4">
<h2
id={group.id}
className="scroll-mt-20 text-base font-semibold"
>
{title}
</h2>
{group.toggleable && (
<label
className={cn(
"flex cursor-pointer items-center gap-2 rounded-full border px-3 py-1.5 text-xs font-medium transition-colors motion-reduce:transition-none",
enabledGroups[group.id]
? "border-primary/30 bg-primary/5 text-primary"
: "border-border bg-muted/50 text-muted-foreground hover:border-foreground/30 hover:text-foreground",
)}
>
{enabledGroups[group.id]
? dict.admin.enabled
: dict.admin.disabled}
<Switch
checked={
!!enabledGroups[group.id]
}
disabled={!writable || saving}
aria-label={formatMessage(
dict.admin.enableGroup,
{ group: title },
)}
onCheckedChange={(checked) =>
handleGroupToggle(
group.id,
checked,
)
}
/>
</label>
)}
</div>
<p className="mb-3 mt-1 text-sm text-muted-foreground text-pretty">
{gt?.description ?? group.description}
</p>
<div
className={cn(
"rounded-lg border bg-card px-4",
groupOff &&
"pointer-events-none opacity-50",
)}
>
{defs.map((def) => (
<SettingField
key={def.key}
def={def}
state={settings[def.key]}
pendingValue={pending[def.key]}
error={errors[def.key]}
disabled={fieldsDisabled}
onChange={(v) =>
handleChange(def.key, v)
}
/>
))}
</div>
</section>
)
})}
</main>
</div>
{/* Always-mounted live region so save results are announced */}
<p aria-live="polite" className="sr-only">
{saveMessage?.text ?? ""}
</p>
{(dirtyCount > 0 || saveMessage) && (
<div className="fixed inset-x-0 bottom-0 z-30 border-t bg-background/95 backdrop-blur">
<div className="mx-auto flex max-w-6xl items-center justify-between gap-4 px-4 py-3">
<p
className={cn(
"flex min-w-0 items-center gap-1.5 truncate text-sm",
saveMessage?.ok
? "text-green-600 dark:text-green-400"
: saveMessage
? "text-destructive"
: "text-muted-foreground",
)}
>
{saveMessage?.ok && (
<Check
className="h-4 w-4 shrink-0"
aria-hidden="true"
/>
)}
{saveMessage && !saveMessage.ok
? saveMessage.text
: dirtyCount > 0
? dict.admin.unsavedChanges
: saveMessage?.text}
</p>
{dirtyCount > 0 && (
<div className="flex shrink-0 gap-2">
<Button
type="button"
variant="outline"
disabled={saving}
onClick={() => {
setPending({})
setErrors({})
setProviders(JSON.parse(savedProviders))
}}
>
{dict.admin.discard}
</Button>
<Button
type="button"
disabled={saving || !writable}
onClick={() => void handleSave()}
>
{saving ? (
<>
<Loader2
className="mr-2 h-4 w-4 animate-spin motion-reduce:animate-none"
aria-hidden="true"
/>
{dict.admin.saving}
</>
) : (
dict.admin.saveChanges
)}
</Button>
</div>
)}
</div>
</div>
)}
</div>
)
}

View File

@@ -1,312 +0,0 @@
import { Eye, EyeOff, X } from "lucide-react"
import { useState } from "react"
import { Button } from "@/components/ui/button"
import { Input } from "@/components/ui/input"
import { Label } from "@/components/ui/label"
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from "@/components/ui/select"
import { Switch } from "@/components/ui/switch"
import { useDictionary } from "@/hooks/use-dictionary"
import type { SettingDef } from "@/lib/admin/settings-registry"
import { formatMessage } from "@/lib/i18n/utils"
import { cn } from "@/lib/utils"
import {
isSecretValue,
type SecretValue,
type SettingState,
savedTextOf,
} from "./admin-shared"
// ── Small shared UI bits ─────────────────────────────────────────────
export function SourceChip({ source }: { source: "file" | "env" | "default" }) {
const dict = useDictionary()
if (source === "default") return null
return (
<span
className={cn(
"rounded px-1.5 py-0.5 text-[10px] font-medium uppercase tracking-wide",
source === "file"
? "bg-primary/10 text-primary"
: "bg-muted text-muted-foreground",
)}
title={
source === "file"
? dict.admin.sourceSavedTitle
: dict.admin.sourceEnvTitle
}
>
{source === "file" ? dict.admin.sourceSaved : dict.admin.sourceEnv}
</span>
)
}
export function RestartBadge() {
const dict = useDictionary()
return (
<span className="rounded bg-amber-500/10 px-1.5 py-0.5 text-[10px] font-medium uppercase tracking-wide text-amber-600 dark:text-amber-400">
{dict.admin.restartRequired}
</span>
)
}
// Secret input: shows masked hint as placeholder, typing replaces.
// With keepOnEmpty, clearing the field reverts to the stored value
// ("keep") instead of deleting it — explicit deletion is via the X button.
export function SecretInput({
id,
value,
disabled,
keepOnEmpty,
onChange,
}: {
id: string
value: string | SecretValue | undefined
disabled?: boolean
keepOnEmpty?: boolean
onChange: (value: string | SecretValue) => void
}) {
const dict = useDictionary()
const [show, setShow] = useState(false)
// The stored marker as it was at mount, to revert to on empty
const [original] = useState(value)
const hadStored = isSecretValue(original)
const text = typeof value === "string" ? value : ""
const placeholder = isSecretValue(value)
? formatMessage(dict.admin.savedReplace, { hint: value.hint })
: dict.admin.notSet
const handleText = (t: string) => {
if (t === "" && keepOnEmpty && hadStored && original) {
onChange(original)
} else {
onChange(t)
}
}
return (
<div className="flex items-center gap-1">
<Input
id={id}
type={show ? "text" : "password"}
value={text}
disabled={disabled}
spellCheck={false}
autoComplete="off"
placeholder={placeholder}
className="h-9 font-mono text-xs"
onChange={(e) => handleText(e.target.value)}
/>
<Button
type="button"
variant="ghost"
size="icon"
className="shrink-0"
aria-label={show ? dict.admin.hideValue : dict.admin.showValue}
onClick={() => setShow((s) => !s)}
>
{show ? (
<EyeOff className="h-4 w-4" aria-hidden="true" />
) : (
<Eye className="h-4 w-4" aria-hidden="true" />
)}
</Button>
{keepOnEmpty && (hadStored || text) && !disabled && (
<Button
type="button"
variant="ghost"
size="icon"
className="shrink-0"
aria-label={dict.admin.removeValue}
title={dict.admin.removeValueTitle}
onClick={() => onChange("")}
>
<X className="h-4 w-4" aria-hidden="true" />
</Button>
)}
</div>
)
}
// ── General settings field (registry-driven) ─────────────────────────
export function SettingField({
def,
state,
pendingValue,
error,
disabled,
onChange,
}: {
def: SettingDef
state: SettingState | undefined
pendingValue: string | null | undefined
error?: string
disabled: boolean
onChange: (value: string | null) => void
}) {
const dict = useDictionary()
const isDirty = pendingValue !== undefined
const source = state?.source ?? "default"
const currentValue = isDirty ? (pendingValue ?? "") : savedTextOf(state)
const secretState = state && isSecretValue(state.value) ? state.value : null
// Localized label/description keyed by env var name, falling back to the
// registry's English (the registry stays canonical for the server).
const t = (
dict.admin.settings as Record<
string,
{ label?: string; description?: string } | undefined
>
)[def.key]
const label = t?.label ?? def.label
const description = t?.description ?? def.description
const inputId = `setting-${def.key}`
const errorId = `${inputId}-error`
let control: React.ReactNode
switch (def.type) {
case "boolean": {
// When unset, reflect the built-in runtime default so the toggle
// matches actual behavior (e.g. ALLOW_PRIVATE_URLS defaults on).
const effective =
currentValue !== "" ? currentValue : (def.default ?? "false")
// A saved boolean can be cleared back to its env/default value.
const canClear =
(isDirty && pendingValue !== null) || source === "file"
control = (
<div className="flex items-center gap-3">
<Switch
id={inputId}
checked={effective === "true"}
disabled={disabled}
onCheckedChange={(checked) =>
onChange(checked ? "true" : "false")
}
/>
{canClear && !disabled && (
<Button
type="button"
variant="ghost"
size="sm"
className="h-7 px-2 text-xs text-muted-foreground"
onClick={() => onChange(null)}
>
{dict.admin.resetToDefault}
</Button>
)}
</div>
)
break
}
case "enum":
control = (
<Select
value={currentValue || undefined}
disabled={disabled}
onValueChange={onChange}
>
<SelectTrigger id={inputId} className="w-full max-w-xs">
<SelectValue placeholder={dict.admin.notSet} />
</SelectTrigger>
<SelectContent>
{def.options?.map((opt) => (
<SelectItem key={opt} value={opt}>
{opt}
</SelectItem>
))}
</SelectContent>
</Select>
)
break
case "secret":
control = (
<div className="w-full max-w-md">
<SecretInput
id={inputId}
value={
isDirty
? (pendingValue ?? "")
: (secretState ?? currentValue)
}
disabled={disabled}
onChange={(v) =>
onChange(typeof v === "string" ? v : "")
}
/>
</div>
)
break
case "number":
control = (
<Input
id={inputId}
type="number"
inputMode="numeric"
min={def.min}
max={def.max}
value={currentValue}
disabled={disabled}
placeholder={def.placeholder ?? dict.admin.notSet}
className="w-full max-w-xs tabular-nums"
aria-invalid={!!error}
aria-describedby={error ? errorId : undefined}
onChange={(e) => onChange(e.target.value)}
/>
)
break
default:
control = (
<Input
id={inputId}
type="text"
value={currentValue}
disabled={disabled}
spellCheck={false}
autoComplete="off"
placeholder={def.placeholder ?? dict.admin.notSet}
className="w-full max-w-md"
aria-invalid={!!error}
aria-describedby={error ? errorId : undefined}
onChange={(e) => onChange(e.target.value)}
/>
)
}
return (
<div className="border-b border-border/60 py-4 last:border-b-0">
<div className="mb-1.5 flex flex-wrap items-center gap-2">
<Label htmlFor={inputId} className="text-sm font-medium">
{label}
</Label>
<SourceChip source={source} />
{def.restartRequired && <RestartBadge />}
{isDirty && (
<span className="rounded bg-blue-500/10 px-1.5 py-0.5 text-[10px] font-medium uppercase tracking-wide text-blue-600 dark:text-blue-400">
{dict.admin.modified}
</span>
)}
</div>
{description && (
<p className="mb-2 max-w-prose text-xs text-muted-foreground">
{description}
</p>
)}
{control}
<p
id={errorId}
className={cn(
"text-xs text-destructive",
error ? "mt-1.5" : "sr-only",
)}
aria-live="polite"
>
{error ?? ""}
</p>
</div>
)
}

View File

@@ -41,24 +41,19 @@ export async function generateMetadata({
params: Promise<{ lang: string }>
}): Promise<Metadata> {
const { lang: rawLang } = await params
const lang = (
rawLang in { en: 1, zh: 1, ja: 1, "zh-Hant": 1 } ? rawLang : "en"
) as Locale
const lang = (rawLang in { en: 1, zh: 1, ja: 1 } ? rawLang : "en") as Locale
// Default to English metadata
const titles: Record<Locale, string> = {
en: "Next AI Draw.io - AI-Powered Diagram Generator",
zh: "Next AI Draw.io - AI powered diagram generator",
ja: "Next AI Draw.io - AI-powered diagram generator",
"zh-Hant": "Next AI Draw.io - AI 驅動的圖表產生器",
}
const descriptions: Record<Locale, string> = {
en: "Create AWS architecture diagrams, flowcharts, and technical diagrams using AI. Free online tool integrating draw.io with AI assistance for professional diagram creation.",
zh: "Use AI to create AWS architecture diagrams, flowcharts, and technical diagrams. Free online tool integrated with draw.io and AI assistance for professional diagram creation.",
ja: "Create AWS architecture diagrams, flowcharts, and technical diagrams using AI. Create professional diagrams with a free online tool that integrates draw.io with an AI assistant.",
"zh-Hant":
"使用 AI 建立 AWS 架構圖、流程圖和技術圖表。免費線上工具整合 draw.io 與 AI 輔助,輕鬆建立專業圖表。",
}
return {
@@ -85,14 +80,7 @@ export async function generateMetadata({
type: "website",
url: "https://next-ai-drawio.jiang.jp",
siteName: "Next AI Draw.io",
locale:
lang === "zh"
? "zh_CN"
: lang === "zh-Hant"
? "zh_HK"
: lang === "ja"
? "ja_JP"
: "en_US",
locale: lang === "zh" ? "zh_CN" : lang === "ja" ? "ja_JP" : "en_US",
images: [
{
url: "/architecture.png",
@@ -127,7 +115,6 @@ export async function generateMetadata({
en: "/en",
zh: "/zh",
ja: "/ja",
"zh-Hant": "/zh-Hant",
},
},
}

View File

@@ -1,44 +1,65 @@
"use client"
import { usePathname, useRouter } from "next/navigation"
import { Suspense, useCallback, useEffect, useRef, useState } from "react"
import { useCallback, useEffect, useRef, useState } from "react"
import { DrawIoEmbed } from "react-drawio"
import type { ImperativePanelHandle } from "react-resizable-panels"
import ChatPanel from "@/components/chat-panel"
import { STORAGE_CLOSE_PROTECTION_KEY } from "@/components/settings-dialog"
import {
ResizableHandle,
ResizablePanel,
ResizablePanelGroup,
} from "@/components/ui/resizable"
import { useDiagram } from "@/contexts/diagram-context"
import { type DrawioTheme, isDrawioTheme } from "@/lib/drawio-themes"
import { i18n, type Locale } from "@/lib/i18n/config"
const drawioBaseUrl =
process.env.NEXT_PUBLIC_DRAWIO_BASE_URL || "https://embed.diagrams.net"
export default function Home() {
const {
drawioRef,
handleDiagramExport,
handleDiagramAutoSave,
onDrawioLoad,
resetDrawioReady,
saveDiagramToStorage,
showSaveDialog,
setShowSaveDialog,
} = useDiagram()
const router = useRouter()
const pathname = usePathname()
// Extract current language from pathname (e.g., "/zh/about" → "zh")
const currentLang = (pathname.split("/")[1] || i18n.defaultLocale) as Locale
const [isMobile, setIsMobile] = useState(false)
const [isChatVisible, setIsChatVisible] = useState(true)
const [drawioUi, setDrawioUi] = useState<DrawioTheme>("kennedy")
const [drawioUi, setDrawioUi] = useState<"min" | "sketch">("min")
const [darkMode, setDarkMode] = useState(false)
const [isLoaded, setIsLoaded] = useState(false)
const [isDrawioReady, setIsDrawioReady] = useState(false)
const [isElectron, setIsElectron] = useState(false)
const [drawioBaseUrl, setDrawioBaseUrl] = useState(
process.env.NEXT_PUBLIC_DRAWIO_BASE_URL || "https://embed.diagrams.net",
)
const [closeProtection, setCloseProtection] = useState(false)
const chatPanelRef = useRef<ImperativePanelHandle>(null)
const isSavingRef = useRef(false)
const mouseOverDrawioRef = useRef(false)
const isMobileRef = useRef(false)
// Reset saving flag when dialog closes (with delay to ignore lingering save events from draw.io)
useEffect(() => {
if (!showSaveDialog) {
const timeout = setTimeout(() => {
isSavingRef.current = false
}, 1000)
return () => clearTimeout(timeout)
}
}, [showSaveDialog])
// Handle save from draw.io's built-in save button
// Note: draw.io sends save events for various reasons (focus changes, etc.)
// We use mouse position to determine if the user is interacting with draw.io
const handleDrawioSave = useCallback(() => {
if (!mouseOverDrawioRef.current) return
if (isSavingRef.current) return
isSavingRef.current = true
setShowSaveDialog(true)
}, [setShowSaveDialog])
// Load preferences from localStorage after mount
useEffect(() => {
// Restore saved locale and redirect if needed
@@ -54,7 +75,7 @@ export default function Home() {
}
const savedUi = localStorage.getItem("drawio-theme")
if (isDrawioTheme(savedUi)) {
if (savedUi === "min" || savedUi === "sketch") {
setDrawioUi(savedUi)
}
@@ -71,42 +92,34 @@ export default function Home() {
document.documentElement.classList.toggle("dark", prefersDark)
}
// Detect Electron and use bundled draw.io files for offline use
// Note: react-drawio uses `new URL(baseUrl)` so we need absolute URL
// Include /index.html because Next.js doesn't auto-serve index.html for directories
const electronDetected =
!process.env.NEXT_PUBLIC_DRAWIO_BASE_URL &&
!!(window as unknown as { electronAPI?: unknown }).electronAPI
if (electronDetected) {
setIsElectron(true)
setDrawioBaseUrl(`${window.location.origin}/drawio/index.html`)
const savedCloseProtection = localStorage.getItem(
STORAGE_CLOSE_PROTECTION_KEY,
)
if (savedCloseProtection === "true") {
setCloseProtection(true)
}
setIsLoaded(true)
}, [pathname, router])
const handleDrawioLoad = useCallback(() => {
setIsDrawioReady(true)
onDrawioLoad()
}, [onDrawioLoad])
const handleDarkModeChange = () => {
const handleDarkModeChange = async () => {
await saveDiagramToStorage()
const newValue = !darkMode
setDarkMode(newValue)
localStorage.setItem("next-ai-draw-io-dark-mode", String(newValue))
document.documentElement.classList.toggle("dark", newValue)
setIsDrawioReady(false)
resetDrawioReady()
}
const handleDrawioUiChange = (theme: DrawioTheme) => {
localStorage.setItem("drawio-theme", theme)
setDrawioUi(theme)
setIsDrawioReady(false)
const handleDrawioUiChange = async () => {
await saveDiagramToStorage()
const newUi = drawioUi === "min" ? "sketch" : "min"
localStorage.setItem("drawio-theme", newUi)
setDrawioUi(newUi)
resetDrawioReady()
}
// Check mobile - reset draw.io before crossing breakpoint
// Check mobile - save diagram and reset draw.io before crossing breakpoint
const isInitialRenderRef = useRef(true)
useEffect(() => {
const checkMobile = () => {
@@ -115,7 +128,7 @@ export default function Home() {
!isInitialRenderRef.current &&
newIsMobile !== isMobileRef.current
) {
setIsDrawioReady(false)
saveDiagramToStorage().catch(() => {})
resetDrawioReady()
}
isMobileRef.current = newIsMobile
@@ -126,7 +139,7 @@ export default function Home() {
checkMobile()
window.addEventListener("resize", checkMobile)
return () => window.removeEventListener("resize", checkMobile)
}, [resetDrawioReady])
}, [saveDiagramToStorage, resetDrawioReady])
const toggleChatPanel = () => {
const panel = chatPanelRef.current
@@ -154,6 +167,20 @@ export default function Home() {
return () => window.removeEventListener("keydown", handleKeyDown)
}, [])
// Show confirmation dialog when user tries to leave the page
useEffect(() => {
if (!closeProtection) return
const handleBeforeUnload = (event: BeforeUnloadEvent) => {
event.preventDefault()
return ""
}
window.addEventListener("beforeunload", handleBeforeUnload)
return () =>
window.removeEventListener("beforeunload", handleBeforeUnload)
}, [closeProtection])
return (
<div className="h-screen bg-background relative overflow-hidden">
<ResizablePanelGroup
@@ -170,43 +197,34 @@ export default function Home() {
className={`h-full relative ${
isMobile ? "p-1" : "p-2"
}`}
onMouseEnter={() => {
mouseOverDrawioRef.current = true
}}
onMouseLeave={() => {
mouseOverDrawioRef.current = false
}}
>
<div className="h-full rounded-xl overflow-hidden shadow-soft-lg border border-border/30 relative">
{isLoaded && (
<div
className={`h-full w-full ${isDrawioReady ? "" : "invisible absolute inset-0"}`}
>
<DrawIoEmbed
key={`${drawioUi}-${darkMode}-${currentLang}-${isElectron}`}
ref={drawioRef}
autosave
onAutoSave={handleDiagramAutoSave}
onExport={handleDiagramExport}
onLoad={handleDrawioLoad}
baseUrl={drawioBaseUrl}
urlParameters={{
ui: drawioUi,
spin: false,
libraries: false,
saveAndExit: false,
noSaveBtn: true,
noExitBtn: true,
dark:
darkMode || drawioUi === "dark",
lang: currentLang,
// Enable offline mode in Electron to disable external service calls
...(isElectron && {
offline: true,
}),
}}
/>
</div>
)}
{(!isLoaded || !isDrawioReady) && (
<div className="h-full w-full bg-background flex items-center justify-center">
<span className="text-muted-foreground">
Draw.io panel is loading...
</span>
<div className="h-full rounded-xl overflow-hidden shadow-soft-lg border border-border/30">
{isLoaded ? (
<DrawIoEmbed
key={`${drawioUi}-${darkMode}`}
ref={drawioRef}
onExport={handleDiagramExport}
onLoad={onDrawioLoad}
onSave={handleDrawioSave}
baseUrl={drawioBaseUrl}
urlParameters={{
ui: drawioUi,
spin: true,
libraries: false,
saveAndExit: false,
noExitBtn: true,
dark: darkMode,
}}
/>
) : (
<div className="h-full w-full flex items-center justify-center bg-background">
<div className="animate-spin h-8 w-8 border-4 border-primary border-t-transparent rounded-full" />
</div>
)}
</div>
@@ -229,23 +247,16 @@ export default function Home() {
onExpand={() => setIsChatVisible(true)}
>
<div className={`h-full ${isMobile ? "p-1" : "py-2 pr-2"}`}>
<Suspense
fallback={
<div className="h-full bg-card rounded-xl border border-border/30 flex items-center justify-center text-muted-foreground">
Loading chat...
</div>
}
>
<ChatPanel
isVisible={isChatVisible}
onToggleVisibility={toggleChatPanel}
drawioUi={drawioUi}
onDrawioUiChange={handleDrawioUiChange}
darkMode={darkMode}
onToggleDarkMode={handleDarkModeChange}
isMobile={isMobile}
/>
</Suspense>
<ChatPanel
isVisible={isChatVisible}
onToggleVisibility={toggleChatPanel}
drawioUi={drawioUi}
onToggleDrawioUi={handleDrawioUiChange}
darkMode={darkMode}
onToggleDarkMode={handleDarkModeChange}
isMobile={isMobile}
onCloseProtectionChange={setCloseProtection}
/>
</div>
</ResizablePanel>
</ResizablePanelGroup>

View File

@@ -1,89 +0,0 @@
import { checkAdminAuth } from "@/lib/admin/auth"
import {
AdminProvidersSchema,
deriveEnvUpdates,
loadAdminProviders,
maskAdminProviders,
mergeSecrets,
validateAdminProviders,
} from "@/lib/admin/providers"
import { isSettingsWritable, saveSettings } from "@/lib/admin/settings"
import { loadEnvServerModelsConfig } from "@/lib/server-model-config"
export const runtime = "nodejs"
export const dynamic = "force-dynamic"
async function payload() {
// Env-based providers (AI_MODELS_CONFIG / ai-models.json) are shown
// read-only in the panel; their credentials live in the environment
const envConfig = await loadEnvServerModelsConfig()
const adminProviders = loadAdminProviders()
// A panel default overrides any env default (matches the merge in
// loadRawServerModelsConfig), so env stars must reflect that
const adminHasDefault = adminProviders.some(
(p) => p.isDefault && p.models.length > 0,
)
return {
writable: isSettingsWritable(),
providers: maskAdminProviders(adminProviders),
envProviders:
envConfig?.providers.map((p) => ({
name: p.name,
provider: p.provider,
models: p.models,
isDefault: !!p.default && !adminHasDefault,
})) ?? [],
}
}
export async function GET(req: Request) {
const authError = checkAdminAuth(req)
if (authError) return authError
return Response.json(await payload())
}
export async function PUT(req: Request) {
const authError = checkAdminAuth(req)
if (authError) return authError
if (!isSettingsWritable()) {
return Response.json(
{
error: "Settings file is not writable on this deployment. Configure via environment variables instead.",
},
{ status: 503 },
)
}
let body: unknown
try {
body = await req.json()
} catch {
return Response.json({ error: "Invalid JSON body" }, { status: 400 })
}
const parsed = AdminProvidersSchema.safeParse(
(body as { providers?: unknown })?.providers,
)
if (!parsed.success) {
return Response.json(
{
error: `Invalid providers: ${parsed.error.issues[0]?.message ?? "schema mismatch"}`,
},
{ status: 400 },
)
}
const stored = loadAdminProviders()
const merged = mergeSecrets(parsed.data, stored)
const envConfig = await loadEnvServerModelsConfig()
const validationError = validateAdminProviders(merged, envConfig)
if (validationError) {
return Response.json({ error: validationError }, { status: 400 })
}
saveSettings(deriveEnvUpdates(merged, stored))
return Response.json(await payload())
}

View File

@@ -1,126 +0,0 @@
import { checkAdminAuth, maskSecret } from "@/lib/admin/auth"
import {
getEnvFallback,
getValueSource,
isSettingsWritable,
loadSettings,
saveSettings,
} from "@/lib/admin/settings"
import {
SETTINGS_BY_KEY,
SETTINGS_REGISTRY,
type SettingDef,
} from "@/lib/admin/settings-registry"
export const runtime = "nodejs"
export const dynamic = "force-dynamic"
function serializeSettings() {
const fileValues = loadSettings()
return SETTINGS_REGISTRY.map((def) => {
const source = getValueSource(def.key)
const raw =
source === "file"
? fileValues[def.key]
: (getEnvFallback(def.key) ?? null)
const value = def.type === "secret" && raw ? maskSecret(raw) : raw
return { key: def.key, source, value }
})
}
export async function GET(req: Request) {
const authError = checkAdminAuth(req)
if (authError) return authError
return Response.json({
writable: isSettingsWritable(),
settings: serializeSettings(),
})
}
function validateValue(def: SettingDef, value: string): string | null {
switch (def.type) {
case "number": {
const num = Number(value)
if (!Number.isFinite(num)) return "Must be a number"
if (def.min !== undefined && num < def.min)
return `Must be at least ${def.min}`
if (def.max !== undefined && num > def.max)
return `Must be at most ${def.max}`
return null
}
case "boolean":
return value === "true" || value === "false"
? null
: 'Must be "true" or "false"'
case "enum":
return def.options?.includes(value)
? null
: `Must be one of: ${def.options?.join(", ")}`
default:
return null
}
}
export async function PUT(req: Request) {
const authError = checkAdminAuth(req)
if (authError) return authError
if (!isSettingsWritable()) {
return Response.json(
{
error: "Settings file is not writable on this deployment. Configure via environment variables instead.",
},
{ status: 503 },
)
}
let body: { values?: Record<string, unknown> }
try {
body = await req.json()
} catch {
return Response.json({ error: "Invalid JSON body" }, { status: 400 })
}
if (!body.values || typeof body.values !== "object") {
return Response.json(
{ error: "Body must contain a values object" },
{ status: 400 },
)
}
const updates: Record<string, string | null> = {}
const errors: Record<string, string> = {}
for (const [key, value] of Object.entries(body.values)) {
const def = SETTINGS_BY_KEY.get(key)
if (!def) {
errors[key] = "Unknown setting"
continue
}
if (value === null || value === "") {
updates[key] = null
continue
}
if (typeof value !== "string") {
errors[key] = "Value must be a string"
continue
}
const error = validateValue(def, value)
if (error) {
errors[key] = error
continue
}
updates[key] = value
}
if (Object.keys(errors).length > 0) {
return Response.json({ errors }, { status: 400 })
}
saveSettings(updates)
return Response.json({
writable: true,
settings: serializeSettings(),
})
}

View File

@@ -1,66 +0,0 @@
import { POST as validateModel } from "@/app/api/validate-model/route"
import { checkAdminAuth } from "@/lib/admin/auth"
import {
AdminProviderSchema,
loadAdminProviders,
mergeSecrets,
} from "@/lib/admin/providers"
export const runtime = "nodejs"
export const dynamic = "force-dynamic"
// Test a model with the client's CURRENT provider state (which may be
// unsaved). Secret fields arrive either as plaintext (newly typed) or as
// masked {isSet} markers, which are resolved against settings.json — so
// testing works both before and after saving.
export async function POST(req: Request) {
const authError = checkAdminAuth(req)
if (authError) return authError
let body: { provider?: unknown; modelId?: string }
try {
body = await req.json()
} catch {
return Response.json({ error: "Invalid JSON body" }, { status: 400 })
}
const parsed = AdminProviderSchema.safeParse(body.provider)
if (!parsed.success || !body.modelId) {
return Response.json(
{ valid: false, error: "Invalid provider or model" },
{ status: 400 },
)
}
// SECURITY: a stored secret is only resolved from an {isSet} marker if
// the endpoint it would be sent to (provider + baseUrl) still matches
// the stored entry. Otherwise a tampered baseUrl could exfiltrate the
// stored key to an arbitrary host. Mismatches must re-supply plaintext.
const stored = loadAdminProviders().find((p) => p.id === parsed.data.id)
const sameEndpoint =
stored &&
stored.provider === parsed.data.provider &&
(stored.baseUrl ?? "") === (parsed.data.baseUrl ?? "") &&
(stored.awsRegion ?? "") === (parsed.data.awsRegion ?? "")
const [resolved] = mergeSecrets(
[parsed.data],
sameEndpoint && stored ? [stored] : [],
)
return validateModel(
new Request(new URL("/api/validate-model", req.url), {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
provider: resolved.provider,
apiKey: resolved.apiKey,
baseUrl: resolved.baseUrl,
modelId: body.modelId,
awsAccessKeyId: resolved.awsAccessKeyId,
awsSecretAccessKey: resolved.awsSecretAccessKey,
awsRegion: resolved.awsRegion,
vertexApiKey: resolved.vertexApiKey,
}),
}),
)
}

View File

@@ -1,61 +0,0 @@
import { NextResponse } from "next/server"
import {
AIHUBMIX_MODELS_ENDPOINT,
extractAihubmixModelIds,
} from "@/lib/aihubmix-models"
import { SUGGESTED_MODELS } from "@/lib/types/model-config"
const SUCCESS_CACHE_CONTROL =
"public, max-age=300, s-maxage=3600, stale-while-revalidate=86400"
function fallbackResponse() {
return NextResponse.json(
{
models: SUGGESTED_MODELS.aihubmix || [],
source: "fallback",
},
{
headers: {
"Cache-Control": "no-store",
},
},
)
}
export async function GET() {
try {
const response = await fetch(AIHUBMIX_MODELS_ENDPOINT, {
next: { revalidate: 3600 },
})
if (!response.ok) {
console.warn(
`[aihubmix-models] Failed to fetch models: ${response.status}`,
)
return fallbackResponse()
}
const payload = await response.json()
const models = extractAihubmixModelIds(payload)
if (models.length === 0) {
console.warn("[aihubmix-models] Model list response was empty")
return fallbackResponse()
}
return NextResponse.json(
{
models,
source: "aihubmix",
},
{
headers: {
"Cache-Control": SUCCESS_CACHE_CONTROL,
},
},
)
} catch (error) {
console.warn("[aihubmix-models] Failed to load models:", error)
return fallbackResponse()
}
}

View File

@@ -12,17 +12,8 @@ import fs from "fs/promises"
import { jsonrepair } from "jsonrepair"
import path from "path"
import { z } from "zod"
import {
getAIModel,
SINGLE_SYSTEM_PROVIDERS,
supportsPromptCaching,
} from "@/lib/ai-providers"
import { getAIModel, supportsPromptCaching } from "@/lib/ai-providers"
import { findCachedResponse } from "@/lib/cached-responses"
import {
isMinimalDiagram,
replaceHistoricalToolInputs,
validateFileParts,
} from "@/lib/chat-helpers"
import {
checkAndIncrementRequest,
isQuotaEnabled,
@@ -34,17 +25,97 @@ import {
setTraceOutput,
wrapWithObserve,
} from "@/lib/langfuse"
import {
resolveMaxOutputTokens,
withOutputTokenLimitFallback,
} from "@/lib/output-token-limit"
import { findServerModelById } from "@/lib/server-model-config"
import { getSystemPrompt } from "@/lib/system-prompts"
import { getUserIdFromRequest } from "@/lib/user-id"
// No explicit cap: a reasoning model can spend minutes planning before it emits
// the tool call, so take whatever the host allows. Vercel's own default is 300s,
// which is also where Node's response-body timeout on the upstream stream lands.
export const maxDuration = 120
// File upload limits (must match client-side)
const MAX_FILE_SIZE = 2 * 1024 * 1024 // 2MB
const MAX_FILES = 5
// Helper function to validate file parts in messages
function validateFileParts(messages: any[]): {
valid: boolean
error?: string
} {
const lastMessage = messages[messages.length - 1]
const fileParts =
lastMessage?.parts?.filter((p: any) => p.type === "file") || []
if (fileParts.length > MAX_FILES) {
return {
valid: false,
error: `Too many files. Maximum ${MAX_FILES} allowed.`,
}
}
for (const filePart of fileParts) {
// Data URLs format: data:image/png;base64,<data>
// Base64 increases size by ~33%, so we check the decoded size
if (filePart.url?.startsWith("data:")) {
const base64Data = filePart.url.split(",")[1]
if (base64Data) {
const sizeInBytes = Math.ceil((base64Data.length * 3) / 4)
if (sizeInBytes > MAX_FILE_SIZE) {
return {
valid: false,
error: `File exceeds ${MAX_FILE_SIZE / 1024 / 1024}MB limit.`,
}
}
}
}
}
return { valid: true }
}
// Helper function to check if diagram is minimal/empty
function isMinimalDiagram(xml: string): boolean {
const stripped = xml.replace(/\s/g, "")
return !stripped.includes('id="2"')
}
// Helper function to replace historical tool call XML with placeholders
// This reduces token usage and forces LLM to rely on the current diagram XML (source of truth)
// Also fixes invalid/undefined inputs from interrupted streaming
function replaceHistoricalToolInputs(messages: any[]): any[] {
return messages.map((msg) => {
if (msg.role !== "assistant" || !Array.isArray(msg.content)) {
return msg
}
const replacedContent = msg.content
.map((part: any) => {
if (part.type === "tool-call") {
const toolName = part.toolName
// Fix invalid/undefined inputs from interrupted streaming
if (
!part.input ||
typeof part.input !== "object" ||
Object.keys(part.input).length === 0
) {
// Skip tool calls with invalid inputs entirely
return null
}
if (
toolName === "display_diagram" ||
toolName === "edit_diagram"
) {
return {
...part,
input: {
placeholder:
"[XML content replaced - see current diagram XML in system context]",
},
}
}
}
return part
})
.filter(Boolean) // Remove null entries (invalid tool calls)
return { ...msg, content: replacedContent }
})
}
// Helper function to create cached stream response
function createCachedStreamResponse(xml: string): Response {
@@ -95,12 +166,7 @@ async function handleChatRequest(req: Request): Promise<Response> {
}
}
const body = await req.json()
const { messages, xml, previousXml, sessionId } = body
const customSystemMessage =
typeof body.customSystemMessage === "string"
? body.customSystemMessage.slice(0, 5000)
: ""
const { messages, xml, previousXml, sessionId } = await req.json()
// Get user ID for Langfuse tracking and quota
const userId = getUserIdFromRequest(req)
@@ -129,10 +195,7 @@ async function handleChatRequest(req: Request): Promise<Response> {
// === SERVER-SIDE QUOTA CHECK START ===
// Quota is opt-in: only enabled when DYNAMODB_QUOTA_TABLE env var is set
const hasOwnApiKey = !!(
req.headers.get("x-ai-provider") &&
(req.headers.get("x-ai-api-key") ||
req.headers.get("x-aws-access-key-id") ||
req.headers.get("x-vertex-api-key"))
req.headers.get("x-ai-provider") && req.headers.get("x-ai-api-key")
)
// Skip quota check if: quota disabled, user has own API key, or is anonymous
@@ -181,45 +244,9 @@ async function handleChatRequest(req: Request): Promise<Response> {
// === CACHE CHECK END ===
// Read client AI provider overrides from headers
const provider = req.headers.get("x-ai-provider")
let baseUrl = req.headers.get("x-ai-base-url")
const selectedModelId = req.headers.get("x-selected-model-id")
// For EdgeOne provider, construct full URL from request origin
// because createOpenAI needs absolute URL, not relative path
if (provider === "edgeone" && !baseUrl) {
const origin = req.headers.get("origin") || new URL(req.url).origin
baseUrl = `${origin}/api/edgeai`
}
// Get cookie header for EdgeOne authentication (eo_token, eo_time)
const cookieHeader = req.headers.get("cookie")
// Check if this is a server model with custom env var names
let serverModelConfig: {
apiKeyEnv?: string | string[]
baseUrlEnv?: string
provider?: string
} = {}
if (selectedModelId?.startsWith("server:")) {
const serverModel = await findServerModelById(selectedModelId)
console.log(
`[Server Model Lookup] ID: ${selectedModelId}, Found: ${!!serverModel}, Provider: ${serverModel?.provider}`,
)
if (serverModel) {
serverModelConfig = {
apiKeyEnv: serverModel.apiKeyEnv,
baseUrlEnv: serverModel.baseUrlEnv,
// Use actual provider from config (client header may have incorrect value due to ID format change)
provider: serverModel.provider,
}
}
}
const clientOverrides = {
// Server model provider takes precedence over client header
provider: serverModelConfig.provider || provider,
baseUrl,
provider: req.headers.get("x-ai-provider"),
baseUrl: req.headers.get("x-ai-base-url"),
apiKey: req.headers.get("x-ai-api-key"),
modelId: req.headers.get("x-ai-model"),
// AWS Bedrock credentials
@@ -227,41 +254,14 @@ async function handleChatRequest(req: Request): Promise<Response> {
awsSecretAccessKey: req.headers.get("x-aws-secret-access-key"),
awsRegion: req.headers.get("x-aws-region"),
awsSessionToken: req.headers.get("x-aws-session-token"),
// Server model custom env var names
...serverModelConfig,
// Vertex AI credentials (Express Mode)
vertexApiKey: req.headers.get("x-vertex-api-key"),
// Pass cookies for EdgeOne Pages authentication
...(provider === "edgeone" &&
cookieHeader && {
headers: { cookie: cookieHeader },
}),
}
// Read minimal style preference from header
const minimalStyle = req.headers.get("x-minimal-style") === "true"
console.log(
`[Client Overrides] provider: ${clientOverrides.provider}, modelId: ${clientOverrides.modelId}`,
)
// Get AI model with optional client overrides
const {
model: baseModel,
providerOptions,
headers,
modelId,
provider: resolvedProvider,
} = getAIModel(clientOverrides)
// Retry with a smaller budget if the provider rejects the requested one
const model = withOutputTokenLimitFallback(baseModel)
// User setting wins over server env, so desktop users can raise it themselves
const maxOutputTokens = resolveMaxOutputTokens(
req.headers.get("x-max-output-tokens"),
)
console.log(`[maxOutputTokens] ${maxOutputTokens}`)
const { model, providerOptions, headers, modelId } =
getAIModel(clientOverrides)
// Check if model supports prompt caching
const shouldCache = supportsPromptCaching(modelId)
@@ -271,20 +271,12 @@ async function handleChatRequest(req: Request): Promise<Response> {
// Get the appropriate system prompt based on model (extended for Opus/Haiku 4.5)
const systemMessage = getSystemPrompt(modelId, minimalStyle)
const finalSystemMessage = customSystemMessage
? `${systemMessage}\n\n## Custom Instructions\n${customSystemMessage}`
: systemMessage
// Extract file parts (images) from the last user message
const fileParts =
lastUserMessage?.parts?.filter((part: any) => part.type === "file") ||
[]
// Note: we used to pre-emptively reject images for models we guessed were
// text-only (by name matching). That heuristic misfired on newer models
// (see issue #874), so we now let the request through and surface the real
// provider error if the model genuinely can't accept images.
// User input only - XML is now in a separate cached system message
const formattedUserInput = `User input:
"""md
@@ -440,77 +432,40 @@ ${userInputText}
}
// System messages with multiple cache breakpoints for optimal caching:
// - Breakpoint 1: System instructions + custom instructions - changes when user updates custom system message
// - Breakpoint 1: Static instructions (~1500 tokens) - rarely changes
// - Breakpoint 2: Current XML context - changes per diagram, but constant within a conversation turn
// Some providers (e.g. MiniMax) don't support multiple system messages
// Merge them into a single system message for compatibility
// Also merge for OpenAI-compatible providers with custom base URLs (e.g. vLLM, LMStudio)
// because open-source model chat templates (Qwen, Llama, etc.) typically reject multiple system messages
const isCustomOpenAIEndpoint =
resolvedProvider === "openai" &&
!!(
baseUrl ||
process.env.OPENAI_BASE_URL ||
(serverModelConfig.baseUrlEnv &&
process.env[serverModelConfig.baseUrlEnv])
)
const isSingleSystemProvider =
SINGLE_SYSTEM_PROVIDERS.has(resolvedProvider) || isCustomOpenAIEndpoint
const xmlContext = `${
previousXml
? `Previous diagram XML (before user's last message):
"""xml
${previousXml}
"""
`
: ""
}Current diagram XML (AUTHORITATIVE - the source of truth):
"""xml
${xml || ""}
"""
IMPORTANT: The "Current diagram XML" is the SINGLE SOURCE OF TRUTH for what's on the canvas right now. The user can manually add, delete, or modify shapes directly in draw.io. Always count and describe elements based on the CURRENT XML, not on what you previously generated. If both previous and current XML are shown, compare them to understand what the user changed. When using edit_diagram, COPY search patterns exactly from the CURRENT XML - attribute order matters!`
const systemMessages = isSingleSystemProvider
? [
{
role: "system" as const,
content: `${finalSystemMessage}\n\n${xmlContext}`,
},
]
: [
// Cache breakpoint 1: Instructions (+ optional custom instructions)
{
role: "system" as const,
content: finalSystemMessage,
...(shouldCache && {
providerOptions: {
bedrock: { cachePoint: { type: "default" } },
},
}),
},
// Cache breakpoint 2: Previous and Current diagram XML context
{
role: "system" as const,
content: xmlContext,
...(shouldCache && {
providerOptions: {
bedrock: { cachePoint: { type: "default" } },
},
}),
},
]
// This allows: if only user message changes, both system caches are reused
// if XML changes, instruction cache is still reused
const systemMessages = [
// Cache breakpoint 1: Instructions (rarely change)
{
role: "system" as const,
content: systemMessage,
...(shouldCache && {
providerOptions: {
bedrock: { cachePoint: { type: "default" } },
},
}),
},
// Cache breakpoint 2: Previous and Current diagram XML context
{
role: "system" as const,
content: `${previousXml ? `Previous diagram XML (before user's last message):\n"""xml\n${previousXml}\n"""\n\n` : ""}Current diagram XML (AUTHORITATIVE - the source of truth):\n"""xml\n${xml || ""}\n"""\n\nIMPORTANT: The "Current diagram XML" is the SINGLE SOURCE OF TRUTH for what's on the canvas right now. The user can manually add, delete, or modify shapes directly in draw.io. Always count and describe elements based on the CURRENT XML, not on what you previously generated. If both previous and current XML are shown, compare them to understand what the user changed. When using edit_diagram, COPY search patterns exactly from the CURRENT XML - attribute order matters!`,
...(shouldCache && {
providerOptions: {
bedrock: { cachePoint: { type: "default" } },
},
}),
},
]
const allMessages = [...systemMessages, ...enhancedMessages]
const result = streamText({
model,
abortSignal: req.signal,
// Must be sent: unset means the provider's own default, and Bedrock's is
// 4096, enough for a small diagram, so larger ones were cut off mid-attribute.
maxOutputTokens,
...(process.env.MAX_OUTPUT_TOKENS && {
maxOutputTokens: parseInt(process.env.MAX_OUTPUT_TOKENS, 10),
}),
stopWhen: stepCountIs(5),
// Repair truncated tool calls when maxOutputTokens is reached mid-JSON
experimental_repairToolCall: async ({ toolCall, error }) => {
@@ -535,13 +490,6 @@ IMPORTANT: The "Current diagram XML" is the SINGLE SOURCE OF TRUTH for what's on
inputToRepair = inputToRepair.replace(/:=/g, ": ")
// Fix `= "` instead of `: "`
inputToRepair = inputToRepair.replace(/=\s*"/g, ': "')
// Fix inconsistent quote escaping in XML attributes within JSON strings
// Pattern: attribute="value\" where opening quote is unescaped but closing is escaped
// Example: y="-20\" should be y=\"-20\"
inputToRepair = inputToRepair.replace(
/(\w+)="([^"]*?)\\"/g,
'$1=\\"$2\\"',
)
}
// Use jsonrepair to fix truncated JSON
const repairedInput = jsonrepair(inputToRepair)
@@ -721,7 +669,7 @@ Available libraries:
- Networking: cisco19, network, kubernetes, vvd, rack
- Business: bpmn, lean_mapping
- General: flowchart, basic, arrows2, infographic, sitemap
- UI/Mockups: android, material_design
- UI/Mockups: android
- Enterprise: citrix, sap, mscae, atlassian
- Engineering: fluidpower, electrical, pid, cabinets, floorplan
- Icons: webicons
@@ -766,7 +714,7 @@ Call this tool to get shape names and usage syntax for a specific library.`,
if (
(error as NodeJS.ErrnoException).code === "ENOENT"
) {
return `Library "${library}" not found. Available: aws4, azure2, gcp2, alibaba_cloud, cisco19, kubernetes, network, bpmn, flowchart, basic, arrows2, vvd, salesforce, citrix, sap, mscae, atlassian, fluidpower, electrical, pid, cabinets, floorplan, webicons, infographic, sitemap, android, material_design, lean_mapping, openstack, rack`
return `Library "${library}" not found. Available: aws4, azure2, gcp2, alibaba_cloud, cisco19, kubernetes, network, bpmn, flowchart, basic, arrows2, vvd, salesforce, citrix, sap, mscae, atlassian, fluidpower, electrical, pid, cabinets, floorplan, webicons, infographic, sitemap, android, lean_mapping, openstack, rack`
}
console.error(
`[get_shape_library] Error loading "${library}":`,

View File

@@ -1,169 +0,0 @@
import { extractFromHtml } from "@extractus/article-extractor"
import { NextResponse } from "next/server"
import TurndownService from "turndown"
import { isPrivateUrl } from "@/lib/ssrf-protection"
const MAX_CONTENT_LENGTH = 150000 // Match PDF limit
const EXTRACT_TIMEOUT_MS = 15000
const USER_AGENT = "Mozilla/5.0 (compatible; NextAIDrawio/1.0)"
// Detect the page's charset so non-UTF-8 pages (Shift_JIS/GBK/EUC/Big5, common
// on CJK sites) are decoded correctly. Response.text() always assumes UTF-8 and
// would produce mojibake; the article-extractor library does the same detection
// when it fetches the page itself, which we no longer rely on.
function detectCharset(
contentType: string | null,
buffer: ArrayBuffer,
): string {
// 1. HTTP Content-Type header charset (most authoritative).
const headerCharset = contentType?.match(/charset=([^;]+)/i)?.[1]?.trim()
// 2. <meta charset> / <meta http-equiv> in the first bytes of the document.
const head = new TextDecoder("utf-8").decode(buffer.slice(0, 4096))
const metaCharset =
head.match(/<meta[^>]+charset=["']?\s*([\w-]+)/i)?.[1] ||
head.match(/<meta[^>]+content=["'][^"']*charset=([\w-]+)/i)?.[1]
const charset = (headerCharset || metaCharset || "utf-8").toLowerCase()
// TextDecoder throws on unknown encoding labels; fall back to UTF-8.
try {
new TextDecoder(charset)
return charset
} catch {
return "utf-8"
}
}
export async function POST(req: Request) {
try {
const { url } = await req.json()
if (!url || typeof url !== "string") {
return NextResponse.json(
{ error: "URL is required" },
{ status: 400 },
)
}
// Validate URL format
try {
new URL(url)
} catch {
return NextResponse.json(
{ error: "Invalid URL format" },
{ status: 400 },
)
}
// SSRF protection: parse-url has no use case for fetching internal
// hosts, so private URLs are always rejected. ALLOW_PRIVATE_URLS only
// governs LLM provider baseUrl overrides (validate-model, chat).
if (await isPrivateUrl(url)) {
return NextResponse.json(
{ error: "Cannot access private/internal URLs" },
{ status: 400 },
)
}
// Fetch the page ourselves so we control redirect handling. The
// article-extractor library follows redirects internally and ignores a
// `redirect` option, which would let a public URL 302 to an internal
// host and bypass the SSRF check above. `redirect: "error"` rejects any
// redirect outright.
const controller = new AbortController()
const timeoutId = setTimeout(() => {
controller.abort()
}, EXTRACT_TIMEOUT_MS)
let html: string
try {
const response = await fetch(url, {
headers: { "User-Agent": USER_AGENT },
redirect: "error",
signal: controller.signal,
})
const contentType = response.headers.get("content-type")
if (contentType?.includes("application/pdf")) {
return NextResponse.json(
{
error: "PDF URLs are not supported. Please download and upload the PDF file directly",
},
{ status: 422 },
)
}
if (!response.ok) {
return NextResponse.json(
{ error: "Could not fetch URL content" },
{ status: 400 },
)
}
const buffer = await response.arrayBuffer()
const charset = detectCharset(contentType, buffer)
html = new TextDecoder(charset).decode(buffer)
} catch (err: any) {
if (err?.name === "AbortError") {
return NextResponse.json(
{ error: "Timed out while fetching URL content" },
{ status: 504 },
)
}
// Redirects are rejected with a TypeError ("failed to fetch" /
// "unexpected redirect") when redirect: "error" is set.
return NextResponse.json(
{ error: "Could not fetch URL content" },
{ status: 400 },
)
} finally {
clearTimeout(timeoutId)
}
// extractFromHtml throws (not returns null) on empty/non-HTML bodies,
// so map any parse error to the same 400 as the no-content case.
let article: Awaited<ReturnType<typeof extractFromHtml>>
try {
article = await extractFromHtml(html, url)
} catch {
article = null
}
if (!article || !article.content) {
return NextResponse.json(
{ error: "Could not extract content from URL" },
{ status: 400 },
)
}
// Convert HTML to Markdown
const turndownService = new TurndownService({
headingStyle: "atx",
codeBlockStyle: "fenced",
})
// Remove unwanted elements before conversion
turndownService.remove(["script", "style", "iframe", "noscript"])
const markdown = turndownService.turndown(article.content)
// Check content length
if (markdown.length > MAX_CONTENT_LENGTH) {
return NextResponse.json(
{
error: `Content exceeds ${MAX_CONTENT_LENGTH / 1000}k character limit (${(markdown.length / 1000).toFixed(1)}k chars)`,
},
{ status: 400 },
)
}
return NextResponse.json({
title: article.title || "Untitled",
content: markdown,
charCount: markdown.length,
})
} catch (error) {
console.error("URL extraction error:", error)
return NextResponse.json(
{ error: "Failed to fetch or parse URL content" },
{ status: 500 },
)
}
}

View File

@@ -1,14 +0,0 @@
import { NextResponse } from "next/server"
import { loadFlattenedServerModels } from "@/lib/server-model-config"
// Use dynamic rendering to read AI_MODEL/AI_PROVIDER env vars at runtime
// This ensures Docker users can set these values when starting containers
export const dynamic = "force-dynamic"
export async function GET() {
const models = await loadFlattenedServerModels()
return NextResponse.json({
models,
hasConfig: models.length > 0,
})
}

View File

@@ -1,136 +0,0 @@
/**
* API endpoint for VLM-based diagram validation.
* Accepts a PNG image and streams validation results using useObject-compatible format.
*/
import { streamObject } from "ai"
import { getValidationModel } from "@/lib/ai-providers"
import { VALIDATION_SYSTEM_PROMPT } from "@/lib/validation-prompts"
import {
type ValidationResult,
ValidationResultSchema,
} from "@/lib/validation-schema"
export const maxDuration = 30
interface ValidateDiagramRequest {
imageData: string // Base64 PNG data URL
sessionId?: string
}
// Default valid result for disabled/error cases
const DEFAULT_VALID_RESULT: ValidationResult = {
valid: true,
issues: [],
suggestions: [],
}
/**
* Create a streaming response for useObject compatibility.
* useObject expects text stream format, not plain JSON.
*/
function createStreamingResponse(result: ValidationResult): Response {
const encoder = new TextEncoder()
const stream = new ReadableStream({
start(controller) {
// Stream the JSON as text (useObject parses this)
controller.enqueue(encoder.encode(JSON.stringify(result)))
controller.close()
},
})
return new Response(stream, {
headers: { "Content-Type": "text/plain; charset=utf-8" },
})
}
export async function POST(req: Request): Promise<Response> {
try {
// Check if VLM validation is enabled (default: true)
const enableValidation = process.env.ENABLE_VLM_VALIDATION !== "false"
if (!enableValidation) {
return createStreamingResponse(DEFAULT_VALID_RESULT)
}
const body: ValidateDiagramRequest = await req.json()
const { imageData, sessionId } = body
if (!imageData) {
return Response.json(
{ error: "Missing imageData" },
{ status: 400 },
)
}
// Validate image data format
if (
!imageData.startsWith("data:image/png;base64,") &&
!imageData.startsWith("data:image/")
) {
return Response.json(
{ error: "Invalid image data format" },
{ status: 400 },
)
}
// Get the validation model
let model
try {
model = getValidationModel()
} catch (error) {
console.warn(
"[validate-diagram] Validation model not available:",
error,
)
// Return valid if no vision model is configured
return createStreamingResponse(DEFAULT_VALID_RESULT)
}
// Parse timeout with validation (minimum 1000ms, default 10000ms)
const timeout =
Math.max(
1000,
parseInt(process.env.VALIDATION_TIMEOUT || "10000", 10),
) || 10000
// Stream the VLM response for useObject consumption
const result = streamObject({
model,
schema: ValidationResultSchema,
system: VALIDATION_SYSTEM_PROMPT,
messages: [
{
role: "user",
content: [
{
type: "image",
image: imageData,
},
{
type: "text",
text: "Please analyze this diagram for visual quality issues.",
},
],
},
],
maxOutputTokens: 1024,
abortSignal: AbortSignal.timeout(timeout),
onFinish: ({ object }) => {
if (sessionId && object) {
console.log(
`[validate-diagram] Session ${sessionId}: valid=${object.valid}, issues=${object.issues?.length ?? 0}`,
)
}
},
})
return result.toTextStreamResponse()
} catch (error) {
// Log with session context if available
const errorMessage =
error instanceof Error ? error.message : String(error)
console.error("[validate-diagram] Error:", errorMessage)
// On error, return valid to not block the user
return createStreamingResponse(DEFAULT_VALID_RESULT)
}
}

View File

@@ -3,23 +3,74 @@ import { createAnthropic } from "@ai-sdk/anthropic"
import { createDeepSeek, deepseek } from "@ai-sdk/deepseek"
import { createGateway } from "@ai-sdk/gateway"
import { createGoogleGenerativeAI } from "@ai-sdk/google"
import { createVertex } from "@ai-sdk/google-vertex"
import { createOpenAI } from "@ai-sdk/openai"
import { createAihubmix } from "@aihubmix/ai-sdk-provider"
import { createOpenRouter } from "@openrouter/ai-sdk-provider"
import { generateText } from "ai"
import { NextResponse } from "next/server"
import { createOllama } from "ollama-ai-provider-v2"
import {
AIHUBMIX_APP_CODE,
isAihubmixStandardBaseURL,
normalizeMiniMaxBaseURL,
} from "@/lib/ai-providers"
import { allowPrivateUrls, isPrivateUrl } from "@/lib/ssrf-protection"
import { PROVIDER_INFO, type ProviderName } from "@/lib/types/model-config"
export const runtime = "nodejs"
/**
* SECURITY: Check if URL points to private/internal network (SSRF protection)
* Blocks: localhost, private IPs, link-local, AWS metadata service
*/
function isPrivateUrl(urlString: string): boolean {
try {
const url = new URL(urlString)
const hostname = url.hostname.toLowerCase()
// Block localhost
if (
hostname === "localhost" ||
hostname === "127.0.0.1" ||
hostname === "::1"
) {
return true
}
// Block AWS/cloud metadata endpoints
if (
hostname === "169.254.169.254" ||
hostname === "metadata.google.internal"
) {
return true
}
// Check for private IPv4 ranges
const ipv4Match = hostname.match(
/^(\d{1,3})\.(\d{1,3})\.(\d{1,3})\.(\d{1,3})$/,
)
if (ipv4Match) {
const [, a, b] = ipv4Match.map(Number)
// 10.0.0.0/8
if (a === 10) return true
// 172.16.0.0/12
if (a === 172 && b >= 16 && b <= 31) return true
// 192.168.0.0/16
if (a === 192 && b === 168) return true
// 169.254.0.0/16 (link-local)
if (a === 169 && b === 254) return true
// 127.0.0.0/8 (loopback)
if (a === 127) return true
}
// Block common internal hostnames
if (
hostname.endsWith(".local") ||
hostname.endsWith(".internal") ||
hostname.endsWith(".localhost")
) {
return true
}
return false
} catch {
// Invalid URL - block it
return true
}
}
interface ValidateRequest {
provider: string
apiKey: string
@@ -29,8 +80,6 @@ interface ValidateRequest {
awsAccessKeyId?: string
awsSecretAccessKey?: string
awsRegion?: string
// Vertex AI specific
vertexApiKey?: string // Express Mode API key
}
export async function POST(req: Request) {
@@ -44,8 +93,6 @@ export async function POST(req: Request) {
awsAccessKeyId,
awsSecretAccessKey,
awsRegion,
// Note: Express Mode only needs vertexApiKey
vertexApiKey,
} = body
if (!provider || !modelId) {
@@ -56,7 +103,7 @@ export async function POST(req: Request) {
}
// SECURITY: Block SSRF attacks via custom baseUrl
if (baseUrl && !allowPrivateUrls() && (await isPrivateUrl(baseUrl))) {
if (baseUrl && isPrivateUrl(baseUrl)) {
return NextResponse.json(
{ valid: false, error: "Invalid base URL" },
{ status: 400 },
@@ -74,17 +121,7 @@ export async function POST(req: Request) {
{ status: 400 },
)
}
} else if (provider === "vertexai") {
if (!vertexApiKey) {
return NextResponse.json(
{
valid: false,
error: "Vertex AI API key is required for Express Mode",
},
{ status: 400 },
)
}
} else if (provider !== "ollama" && provider !== "edgeone" && !apiKey) {
} else if (provider !== "ollama" && !apiKey) {
return NextResponse.json(
{ valid: false, error: "API key is required" },
{ status: 400 },
@@ -121,15 +158,6 @@ export async function POST(req: Request) {
break
}
case "vertexai": {
const vertex = createVertex({
apiKey: vertexApiKey,
...(baseUrl && { baseURL: baseUrl }),
})
model = vertex(modelId)
break
}
case "azure": {
const azure = createOpenAI({
apiKey,
@@ -158,28 +186,6 @@ export async function POST(req: Request) {
break
}
case "aihubmix": {
const defaultBaseURL = PROVIDER_INFO.aihubmix.defaultBaseUrl
if (
isAihubmixStandardBaseURL(baseUrl) ||
baseUrl === defaultBaseURL
) {
const aihubmix = createAihubmix({
apiKey,
appCode: AIHUBMIX_APP_CODE,
})
model = aihubmix(modelId)
} else {
const aihubmixCompatible = createOpenAI({
apiKey,
baseURL: baseUrl,
})
model = aihubmixCompatible.chat(modelId)
}
break
}
case "deepseek": {
if (baseUrl || apiKey) {
const ds = createDeepSeek({
@@ -196,28 +202,17 @@ export async function POST(req: Request) {
case "siliconflow": {
const sf = createOpenAI({
apiKey,
baseURL: baseUrl || "https://api.siliconflow.cn/v1",
baseURL: baseUrl || "https://api.siliconflow.com/v1",
})
model = sf.chat(modelId)
break
}
case "ollama": {
// SECURITY: Mirror ai-providers.ts guard — only use server
// OLLAMA_API_KEY when the URL is also from server config.
const ollamaApiKey = baseUrl
? apiKey || undefined
: apiKey || process.env.OLLAMA_API_KEY || undefined
const ollamaProvider = createOllama({
baseURL:
baseUrl ||
process.env.OLLAMA_BASE_URL ||
"https://ollama.com/api",
...(ollamaApiKey && {
headers: { Authorization: `Bearer ${ollamaApiKey}` },
}),
const ollama = createOllama({
baseURL: baseUrl || "http://localhost:11434",
})
model = ollamaProvider(modelId)
model = ollama(modelId)
break
}
@@ -230,21 +225,6 @@ export async function POST(req: Request) {
break
}
case "edgeone": {
// EdgeOne uses OpenAI-compatible API via Edge Functions
// Need to pass cookies for EdgeOne Pages authentication
const cookieHeader = req.headers.get("cookie") || ""
const edgeone = createOpenAI({
apiKey: "edgeone", // EdgeOne doesn't require API key
baseURL: baseUrl || "/api/edgeai",
headers: {
cookie: cookieHeader,
},
})
model = edgeone.chat(modelId)
break
}
case "sglang": {
// SGLang is OpenAI-compatible
const sglang = createOpenAI({
@@ -256,150 +236,13 @@ export async function POST(req: Request) {
}
case "doubao": {
// ByteDance Doubao: use DeepSeek for DeepSeek/Kimi models, OpenAI for others
const doubaoBaseUrl =
baseUrl || "https://ark.cn-beijing.volces.com/api/v3"
const lowerModelId = modelId.toLowerCase()
if (
lowerModelId.includes("deepseek") ||
lowerModelId.includes("kimi")
) {
const doubao = createDeepSeek({
apiKey,
baseURL: doubaoBaseUrl,
})
model = doubao(modelId)
} else {
const doubao = createOpenAI({
apiKey,
baseURL: doubaoBaseUrl,
})
model = doubao.chat(modelId)
}
break
}
case "modelscope": {
const baseURL =
baseUrl || "https://api-inference.modelscope.cn/v1"
const startTime = Date.now()
try {
// Initiate a streaming request (required for QwQ-32B and certain Qwen3 models)
const response = await fetch(
`${baseURL}/chat/completions`,
{
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${apiKey}`,
},
body: JSON.stringify({
model: modelId,
messages: [
{ role: "user", content: "Say 'OK'" },
],
max_tokens: 20,
stream: true,
enable_thinking: false,
}),
},
)
if (!response.ok) {
const errorText = await response.text()
throw new Error(
`ModelScope API error (${response.status}): ${errorText}`,
)
}
const contentType =
response.headers.get("content-type") || ""
const isValidStreamingResponse =
response.status === 200 &&
(contentType.includes("text/event-stream") ||
contentType.includes("application/json"))
if (!isValidStreamingResponse) {
throw new Error(
`Unexpected response format: ${contentType}`,
)
}
const responseTime = Date.now() - startTime
if (response.body) {
response.body.cancel().catch(() => {
/* Ignore cancellation errors */
})
}
return NextResponse.json({
valid: true,
responseTime,
note: "ModelScope model validated (using streaming API)",
})
} catch (error) {
console.error(
"[validate-model] ModelScope validation failed:",
error,
)
throw error
}
}
case "minimax": {
const rawUrl =
baseUrl ||
PROVIDER_INFO.minimax?.defaultBaseUrl ||
"https://api.minimaxi.com/anthropic"
const { baseURL: minimaxBaseUrl, isAnthropicCompatible } =
normalizeMiniMaxBaseURL(rawUrl)
if (isAnthropicCompatible) {
const minimax = createAnthropic({
apiKey,
baseURL: minimaxBaseUrl,
})
model = minimax.chat(modelId)
} else {
const minimax = createOpenAI({
apiKey,
baseURL: minimaxBaseUrl,
})
model = minimax.chat(modelId)
}
break
}
// GLM, Qwen, Kimi, Qiniu, Novita, MiMo, Atlas Cloud - OpenAI compatible
case "glm":
case "qwen":
case "kimi":
case "qiniu":
case "novita":
case "atlascloud":
case "mimo": {
const baseURL =
baseUrl ||
PROVIDER_INFO[provider as ProviderName]?.defaultBaseUrl ||
""
if (!baseURL) {
return NextResponse.json(
{
valid: false,
error: `No base URL configured for provider: ${provider}`,
},
{ status: 400 },
)
}
const openai = createOpenAI({
// ByteDance Doubao uses DeepSeek-compatible API
const doubao = createDeepSeek({
apiKey,
baseURL,
baseURL:
baseUrl || "https://ark.cn-beijing.volces.com/api/v3",
})
model = openai.chat(modelId)
model = doubao(modelId)
break
}

View File

@@ -74,8 +74,8 @@
--accent: oklch(0.94 0.03 280);
--accent-foreground: oklch(0.35 0.08 270);
/* Muted rose destructive */
--destructive: oklch(0.45 0.12 10);
/* Coral destructive */
--destructive: oklch(0.6 0.2 25);
/* Subtle borders */
--border: oklch(0.92 0.01 260);
@@ -122,7 +122,7 @@
--accent: oklch(0.3 0.04 280);
--accent-foreground: oklch(0.9 0.03 270);
--destructive: oklch(0.55 0.12 10);
--destructive: oklch(0.65 0.22 25);
--border: oklch(0.28 0.015 260);
--input: oklch(0.25 0.015 260);
@@ -244,19 +244,6 @@
.scrollbar-thin::-webkit-scrollbar-thumb:hover {
background-color: oklch(0.75 0.01 260);
}
/* Dark mode scrollbar */
.dark .scrollbar-thin {
scrollbar-color: oklch(0.35 0.015 260) transparent;
}
.dark .scrollbar-thin::-webkit-scrollbar-thumb {
background-color: oklch(0.35 0.015 260);
}
.dark .scrollbar-thin::-webkit-scrollbar-thumb:hover {
background-color: oklch(0.45 0.015 260);
}
}
/* Smooth page transitions */

View File

@@ -1,13 +1,12 @@
{
"$schema": "https://biomejs.dev/schemas/2.4.14/schema.json",
"$schema": "https://biomejs.dev/schemas/2.3.8/schema.json",
"vcs": {
"enabled": true,
"clientKind": "git",
"useIgnoreFile": true
},
"files": {
"ignoreUnknown": false,
"includes": ["**", "!public"]
"ignoreUnknown": false
},
"formatter": {
"enabled": true,

View File

@@ -1,6 +1,5 @@
import { Cloud } from "lucide-react"
import type { ComponentProps, ElementRef, ReactNode } from "react"
import { useEffect, useRef, useState } from "react"
import type { ComponentProps, ReactNode } from "react"
import {
Command,
CommandDialog,
@@ -70,62 +69,20 @@ export type ModelSelectorListProps = ComponentProps<typeof CommandList>
export const ModelSelectorList = ({
className,
...props
}: ModelSelectorListProps) => {
const listRef = useRef<ElementRef<typeof CommandList>>(null)
const [showShadow, setShowShadow] = useState(false)
useEffect(() => {
const listElement = listRef.current
if (!listElement) return
const checkScroll = () => {
const { scrollTop, scrollHeight, clientHeight } = listElement
// Show shadow if there is more content below
// Using a small threshold to handle fractional pixel rendering
setShowShadow(
scrollHeight > Math.ceil(scrollTop + clientHeight) + 1,
)
}
// Initial check
checkScroll()
// Event listeners
listElement.addEventListener("scroll", checkScroll)
window.addEventListener("resize", checkScroll)
// Observe content changes (e.g. async loading of items)
const observer = new MutationObserver(checkScroll)
observer.observe(listElement, { childList: true, subtree: true })
return () => {
listElement.removeEventListener("scroll", checkScroll)
window.removeEventListener("resize", checkScroll)
observer.disconnect()
}
}, [])
return (
<div className="relative">
<CommandList
ref={listRef}
className={cn(
// Hide scrollbar on all platforms
"[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]",
className,
)}
{...props}
/>
{/* Bottom shadow indicator for scrollable content */}
<div
className={cn(
"pointer-events-none absolute bottom-0 left-0 right-0 h-12 bg-gradient-to-t from-muted/80 via-muted/40 to-transparent transition-opacity duration-200",
showShadow ? "opacity-100" : "opacity-0",
)}
/>
</div>
)
}
}: ModelSelectorListProps) => (
<div className="relative">
<CommandList
className={cn(
// Hide scrollbar on all platforms
"[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]",
className,
)}
{...props}
/>
{/* Bottom shadow indicator for scrollable content */}
<div className="pointer-events-none absolute bottom-0 left-0 right-0 h-12 bg-gradient-to-t from-muted/80 via-muted/40 to-transparent" />
</div>
)
export type ModelSelectorEmptyProps = ComponentProps<typeof CommandEmpty>
@@ -177,7 +134,6 @@ export const ModelSelectorLogo = ({
}
return (
// biome-ignore lint/performance/noImgElement: External URL from models.dev
<img
{...props}
alt={`${provider} logo`}
@@ -212,27 +168,3 @@ export const ModelSelectorName = ({
}: ModelSelectorNameProps) => (
<span className={cn("flex-1 truncate text-left", className)} {...props} />
)
export type ModelSelectorSectionHeaderProps = {
icon: ReactNode
label: string
className?: string
}
export const ModelSelectorSectionHeader = ({
icon,
label,
className,
}: ModelSelectorSectionHeaderProps) => (
<div
className={cn(
"flex items-center gap-2 px-2 py-1.5 text-xs font-semibold text-muted-foreground bg-muted/40 rounded-sm mx-1 mt-1",
className,
)}
>
<span className="[&>svg]:size-3.5" aria-hidden="true">
{icon}
</span>
<span>{label}</span>
</div>
)

View File

@@ -70,11 +70,9 @@ function ExampleCard({
export default function ExamplePanel({
setInput,
setFiles,
minimal = false,
}: {
setInput: (input: string) => void
setFiles: (files: File[]) => void
minimal?: boolean
}) {
const dict = useDictionary()
@@ -122,52 +120,49 @@ export default function ExamplePanel({
}
return (
<div className={minimal ? "" : "py-6 px-2 animate-fade-in"}>
{!minimal && (
<>
{/* MCP Server Notice */}
<a
href="https://github.com/DayuanJiang/next-ai-draw-io/tree/main/packages/mcp-server"
target="_blank"
rel="noopener noreferrer"
className="block mb-4 p-3 rounded-xl bg-gradient-to-r from-purple-500/10 to-blue-500/10 border border-purple-500/20 hover:border-purple-500/40 transition-colors group"
>
<div className="flex items-center gap-3">
<div className="w-8 h-8 rounded-lg bg-purple-500/20 flex items-center justify-center shrink-0">
<Terminal className="w-4 h-4 text-purple-500" />
</div>
<div className="min-w-0">
<div className="flex items-center gap-2">
<span className="text-sm font-medium text-foreground group-hover:text-purple-500 transition-colors">
{dict.examples.mcpServer}
</span>
</div>
<p className="text-xs text-muted-foreground">
{dict.examples.mcpDescription}
</p>
</div>
<div className="py-6 px-2 animate-fade-in">
{/* MCP Server Notice */}
<a
href="https://github.com/DayuanJiang/next-ai-draw-io/tree/main/packages/mcp-server"
target="_blank"
rel="noopener noreferrer"
className="block mb-4 p-3 rounded-xl bg-gradient-to-r from-purple-500/10 to-blue-500/10 border border-purple-500/20 hover:border-purple-500/40 transition-colors group"
>
<div className="flex items-center gap-3">
<div className="w-8 h-8 rounded-lg bg-purple-500/20 flex items-center justify-center shrink-0">
<Terminal className="w-4 h-4 text-purple-500" />
</div>
<div className="min-w-0">
<div className="flex items-center gap-2">
<span className="text-sm font-medium text-foreground group-hover:text-purple-500 transition-colors">
{dict.examples.mcpServer}
</span>
<span className="px-1.5 py-0.5 text-[10px] font-semibold bg-purple-500 text-white rounded">
{dict.examples.preview}
</span>
</div>
</a>
{/* Welcome section */}
<div className="text-center mb-6">
<h2 className="text-lg font-semibold text-foreground mb-2">
{dict.examples.title}
</h2>
<p className="text-sm text-muted-foreground max-w-xs mx-auto">
{dict.examples.subtitle}
<p className="text-xs text-muted-foreground">
{dict.examples.mcpDescription}
</p>
</div>
</>
)}
</div>
</a>
{/* Welcome section */}
<div className="text-center mb-6">
<h2 className="text-lg font-semibold text-foreground mb-2">
{dict.examples.title}
</h2>
<p className="text-sm text-muted-foreground max-w-xs mx-auto">
{dict.examples.subtitle}
</p>
</div>
{/* Examples grid */}
<div className="space-y-3">
{!minimal && (
<p className="text-xs font-medium text-muted-foreground uppercase tracking-wider px-1">
{dict.examples.quickExamples}
</p>
)}
<p className="text-xs font-medium text-muted-foreground uppercase tracking-wider px-1">
{dict.examples.quickExamples}
</p>
<div className="grid gap-2">
<ExampleCard

View File

@@ -1,42 +1,30 @@
"use client"
import {
BookmarkPlus,
Download,
History,
Image as ImageIcon,
Link,
Loader2,
Send,
Square,
Trash2,
} from "lucide-react"
import type React from "react"
import {
forwardRef,
useCallback,
useEffect,
useImperativeHandle,
useRef,
useState,
} from "react"
import { useCallback, useEffect, useRef, useState } from "react"
import { toast } from "sonner"
import { ButtonWithTooltip } from "@/components/button-with-tooltip"
import { TemplateCreateDialog } from "@/components/chat/TemplateCreateDialog"
import { ErrorToast } from "@/components/error-toast"
import { HistoryDialog } from "@/components/history-dialog"
import { ModelSelector } from "@/components/model-selector"
import { ResetWarningModal } from "@/components/reset-warning-modal"
import { SaveDialog } from "@/components/save-dialog"
import { Button } from "@/components/ui/button"
import { Textarea } from "@/components/ui/textarea"
import { UrlInputDialog } from "@/components/url-input-dialog"
import { useDiagram } from "@/contexts/diagram-context"
import { useDictionary } from "@/hooks/use-dictionary"
import { formatMessage } from "@/lib/i18n/utils"
import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
import { STORAGE_KEYS } from "@/lib/storage"
import type { FlattenedModel } from "@/lib/types/model-config"
import { extractUrlContent, type UrlData } from "@/lib/url-utils"
import { isRealDiagram } from "@/lib/utils"
import { FilePreviewList } from "./file-preview-list"
const MAX_IMAGE_SIZE = 2 * 1024 * 1024 // 2MB
@@ -147,24 +135,18 @@ function showValidationErrors(errors: string[], dict: any) {
}
}
export interface ChatInputRef {
focus: () => void
}
interface ChatInputProps {
input: string
status: "submitted" | "streaming" | "ready" | "error"
onSubmit: (e: React.FormEvent<HTMLFormElement>) => void
onChange: (e: React.ChangeEvent<HTMLTextAreaElement>) => void
onStop?: () => void
onClearChat: () => void
files?: File[]
onFileChange?: (files: File[]) => void
pdfData?: Map<
File,
{ text: string; charCount: number; isExtracting: boolean }
>
urlData?: Map<string, UrlData>
onUrlChange?: (data: Map<string, UrlData>) => void
sessionId?: string
error?: Error | null
@@ -172,221 +154,92 @@ interface ChatInputProps {
models?: FlattenedModel[]
selectedModelId?: string
onModelSelect?: (modelId: string | undefined) => void
onConfigureModels?: () => void
showUnvalidatedModels?: boolean
// Focus control props
shouldFocus?: boolean
onFocused?: () => void
onConfigureModels?: () => void
}
export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
function ChatInput(
{
input,
status,
onSubmit,
onChange,
onStop,
files = [],
onFileChange = () => {},
pdfData = new Map(),
urlData,
onUrlChange,
sessionId,
error = null,
models = [],
selectedModelId,
onModelSelect = () => {},
onConfigureModels,
showUnvalidatedModels = false,
shouldFocus = false,
onFocused,
},
ref,
) {
const dict = useDictionary()
const {
chartXML,
diagramHistory,
saveDiagramToFile,
showSaveDialog,
setShowSaveDialog,
} = useDiagram()
export function ChatInput({
input,
status,
onSubmit,
onChange,
onClearChat,
files = [],
onFileChange = () => {},
pdfData = new Map(),
sessionId,
error = null,
models = [],
selectedModelId,
onModelSelect = () => {},
showUnvalidatedModels = false,
onConfigureModels = () => {},
}: ChatInputProps) {
const dict = useDictionary()
const { diagramHistory, saveDiagramToFile } = useDiagram()
const textareaRef = useRef<HTMLTextAreaElement>(null)
const fileInputRef = useRef<HTMLInputElement>(null)
const [isDragging, setIsDragging] = useState(false)
const textareaRef = useRef<HTMLTextAreaElement>(null)
const fileInputRef = useRef<HTMLInputElement>(null)
const [isDragging, setIsDragging] = useState(false)
const [showClearDialog, setShowClearDialog] = useState(false)
const [showHistory, setShowHistory] = useState(false)
const [showSaveDialog, setShowSaveDialog] = useState(false)
// Allow retry when there's an error (even if status is still "streaming" or "submitted")
const isDisabled =
(status === "streaming" || status === "submitted") && !error
// Expose focus method via ref
useImperativeHandle(ref, () => ({
focus: () => {
textareaRef.current?.focus()
},
}))
const adjustTextareaHeight = useCallback(() => {
const textarea = textareaRef.current
if (textarea) {
textarea.style.height = "auto"
textarea.style.height = `${Math.min(textarea.scrollHeight, 200)}px`
}
}, [])
// Handle programmatic input changes (e.g., setInput("") after form submission)
useEffect(() => {
adjustTextareaHeight()
}, [input, adjustTextareaHeight])
// Focus the textarea when shouldFocus becomes true
// Use setTimeout to ensure focus happens after drawio iframe settles
useEffect(() => {
if (shouldFocus) {
const timer = setTimeout(() => {
textareaRef.current?.focus()
onFocused?.()
}, 150)
return () => clearTimeout(timer)
const handleChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
onChange(e)
adjustTextareaHeight()
}
const handleKeyDown = (e: React.KeyboardEvent) => {
if ((e.metaKey || e.ctrlKey) && e.key === "Enter") {
e.preventDefault()
const form = e.currentTarget.closest("form")
if (form && input.trim() && !isDisabled) {
form.requestSubmit()
}
}, [shouldFocus, onFocused])
}
}
const [showHistory, setShowHistory] = useState(false)
const [showUrlDialog, setShowUrlDialog] = useState(false)
const [showSaveAsTemplate, setShowSaveAsTemplate] = useState(false)
const [isExtractingUrl, setIsExtractingUrl] = useState(false)
const [sendShortcut, setSendShortcut] = useState("ctrl-enter")
// Allow retry when there's an error (even if status is still "streaming" or "submitted")
const isDisabled =
(status === "streaming" || status === "submitted") && !error
const handlePaste = async (e: React.ClipboardEvent) => {
if (isDisabled) return
const adjustTextareaHeight = useCallback(() => {
const textarea = textareaRef.current
if (textarea) {
textarea.style.height = "auto"
textarea.style.height = `${Math.min(textarea.scrollHeight, 200)}px`
}
}, [])
// Handle programmatic input changes (e.g., setInput("") after form submission)
useEffect(() => {
adjustTextareaHeight()
}, [input, adjustTextareaHeight])
const items = e.clipboardData.items
const imageItems = Array.from(items).filter((item) =>
item.type.startsWith("image/"),
)
// Load send shortcut preference from localStorage and listen for changes
useEffect(() => {
const stored = localStorage.getItem(STORAGE_KEYS.sendShortcut)
if (stored) setSendShortcut(stored)
const handleChange = (e: CustomEvent<string>) =>
setSendShortcut(e.detail)
window.addEventListener(
"sendShortcutChange",
handleChange as EventListener,
)
return () =>
window.removeEventListener(
"sendShortcutChange",
handleChange as EventListener,
if (imageItems.length > 0) {
const imageFiles = (
await Promise.all(
imageItems.map(async (item, index) => {
const file = item.getAsFile()
if (!file) return null
return new File(
[file],
`pasted-image-${Date.now()}-${index}.${file.type.split("/")[1]}`,
{ type: file.type },
)
}),
)
}, [])
const handleChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
onChange(e)
adjustTextareaHeight()
}
const handleKeyDown = (e: React.KeyboardEvent) => {
const shouldSend =
sendShortcut === "enter"
? e.key === "Enter" &&
!e.shiftKey &&
!e.ctrlKey &&
!e.metaKey
: (e.metaKey || e.ctrlKey) && e.key === "Enter"
if (shouldSend) {
e.preventDefault()
const form = e.currentTarget.closest("form")
if (form && input.trim() && !isDisabled) {
form.requestSubmit()
}
}
}
const handlePaste = async (e: React.ClipboardEvent) => {
if (isDisabled) return
const items = e.clipboardData.items
const imageItems = Array.from(items).filter((item) =>
item.type.startsWith("image/"),
)
if (imageItems.length > 0) {
const imageFiles = (
await Promise.all(
imageItems.map(async (item, index) => {
const file = item.getAsFile()
if (!file) return null
return new File(
[file],
`pasted-image-${Date.now()}-${index}.${file.type.split("/")[1]}`,
{ type: file.type },
)
}),
)
).filter((f): f is File => f !== null)
const { validFiles, errors } = validateFiles(
imageFiles,
files.length,
dict,
)
showValidationErrors(errors, dict)
if (validFiles.length > 0) {
onFileChange([...files, ...validFiles])
}
}
}
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
const newFiles = Array.from(e.target.files || [])
const { validFiles, errors } = validateFiles(
newFiles,
files.length,
dict,
)
showValidationErrors(errors, dict)
if (validFiles.length > 0) {
onFileChange([...files, ...validFiles])
}
if (fileInputRef.current) {
fileInputRef.current.value = ""
}
}
const handleRemoveFile = (fileToRemove: File) => {
onFileChange(files.filter((file) => file !== fileToRemove))
if (fileInputRef.current) {
fileInputRef.current.value = ""
}
}
const triggerFileInput = () => {
fileInputRef.current?.click()
}
const handleDragOver = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(true)
}
const handleDragLeave = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(false)
}
const handleDrop = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(false)
if (isDisabled) return
const droppedFiles = e.dataTransfer.files
const supportedFiles = Array.from(droppedFiles).filter((file) =>
isValidFileType(file),
)
).filter((f): f is File => f !== null)
const { validFiles, errors } = validateFiles(
supportedFiles,
imageFiles,
files.length,
dict,
)
@@ -395,98 +248,132 @@ export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
onFileChange([...files, ...validFiles])
}
}
}
const handleUrlExtract = async (url: string) => {
if (!onUrlChange) return
setIsExtractingUrl(true)
try {
const existing = urlData
? new Map(urlData)
: new Map<string, UrlData>()
existing.set(url, {
url,
title: url,
content: "",
charCount: 0,
isExtracting: true,
})
onUrlChange(existing)
const data = await extractUrlContent(url)
const newUrlData = new Map(existing)
newUrlData.set(url, data)
onUrlChange(newUrlData)
setShowUrlDialog(false)
} catch (error) {
// Remove the URL from the data map on error
const newUrlData = urlData
? new Map(urlData)
: new Map<string, UrlData>()
newUrlData.delete(url)
onUrlChange(newUrlData)
showErrorToast(
<span className="text-muted-foreground">
{error instanceof Error
? error.message
: "Failed to extract URL content"}
</span>,
)
} finally {
setIsExtractingUrl(false)
}
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
const newFiles = Array.from(e.target.files || [])
const { validFiles, errors } = validateFiles(
newFiles,
files.length,
dict,
)
showValidationErrors(errors, dict)
if (validFiles.length > 0) {
onFileChange([...files, ...validFiles])
}
return (
<form
id="chat-form"
onSubmit={onSubmit}
className={`w-full transition-all duration-200 ${
isDragging
? "ring-2 ring-primary ring-offset-2 rounded-2xl"
: ""
}`}
onDragOver={handleDragOver}
onDragLeave={handleDragLeave}
onDrop={handleDrop}
>
{/* File & URL previews */}
{(files.length > 0 || (urlData && urlData.size > 0)) && (
<div className="mb-3">
<FilePreviewList
files={files}
onRemoveFile={handleRemoveFile}
pdfData={pdfData}
urlData={urlData}
onRemoveUrl={
onUrlChange
? (url) => {
const next = new Map(urlData)
next.delete(url)
onUrlChange(next)
}
: undefined
}
if (fileInputRef.current) {
fileInputRef.current.value = ""
}
}
const handleRemoveFile = (fileToRemove: File) => {
onFileChange(files.filter((file) => file !== fileToRemove))
if (fileInputRef.current) {
fileInputRef.current.value = ""
}
}
const triggerFileInput = () => {
fileInputRef.current?.click()
}
const handleDragOver = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(true)
}
const handleDragLeave = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(false)
}
const handleDrop = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(false)
if (isDisabled) return
const droppedFiles = e.dataTransfer.files
const supportedFiles = Array.from(droppedFiles).filter((file) =>
isValidFileType(file),
)
const { validFiles, errors } = validateFiles(
supportedFiles,
files.length,
dict,
)
showValidationErrors(errors, dict)
if (validFiles.length > 0) {
onFileChange([...files, ...validFiles])
}
}
const handleClear = () => {
onClearChat()
setShowClearDialog(false)
}
return (
<form
onSubmit={onSubmit}
className={`w-full transition-all duration-200 ${
isDragging
? "ring-2 ring-primary ring-offset-2 rounded-2xl"
: ""
}`}
onDragOver={handleDragOver}
onDragLeave={handleDragLeave}
onDrop={handleDrop}
>
{/* File previews */}
{files.length > 0 && (
<div className="mb-3">
<FilePreviewList
files={files}
onRemoveFile={handleRemoveFile}
pdfData={pdfData}
/>
</div>
)}
<div className="relative rounded-2xl border border-border bg-background shadow-sm focus-within:ring-2 focus-within:ring-primary/20 focus-within:border-primary/50 transition-all duration-200">
<Textarea
ref={textareaRef}
value={input}
onChange={handleChange}
onKeyDown={handleKeyDown}
onPaste={handlePaste}
placeholder={dict.chat.placeholder}
disabled={isDisabled}
aria-label="Chat input"
className="min-h-[60px] max-h-[200px] resize-none border-0 bg-transparent px-4 py-3 text-sm focus-visible:ring-0 focus-visible:ring-offset-0 placeholder:text-muted-foreground/60"
/>
<div className="flex items-center justify-between px-3 py-2 border-t border-border/50">
<div className="flex items-center gap-1 overflow-x-hidden">
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={() => setShowClearDialog(true)}
tooltipContent={dict.chat.clearConversation}
className="h-8 w-8 p-0 text-muted-foreground hover:text-destructive hover:bg-destructive/10"
>
<Trash2 className="h-4 w-4" />
</ButtonWithTooltip>
<ResetWarningModal
open={showClearDialog}
onOpenChange={setShowClearDialog}
onClear={handleClear}
/>
</div>
)}
<div className="relative rounded-2xl border border-border bg-background shadow-sm focus-within:ring-2 focus-within:ring-primary/20 focus-within:border-primary/50 transition-all duration-200">
<Textarea
ref={textareaRef}
value={input}
onChange={handleChange}
onKeyDown={handleKeyDown}
onPaste={handlePaste}
placeholder={dict.chat.placeholder}
disabled={isDisabled}
aria-label="Chat input"
className="min-h-[60px] max-h-[200px] resize-none border-0 bg-transparent px-4 py-3 text-sm focus-visible:ring-0 focus-visible:ring-offset-0 placeholder:text-muted-foreground/60 scrollbar-thin"
/>
<div className="flex items-center justify-end gap-1 px-3 py-2 border-t border-border/50">
<div className="flex items-center gap-1 overflow-hidden justify-end">
<div className="flex items-center gap-1 overflow-x-hidden">
<ButtonWithTooltip
type="button"
@@ -507,9 +394,7 @@ export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
variant="ghost"
size="sm"
onClick={() => setShowSaveDialog(true)}
disabled={
isDisabled || !isRealDiagram(chartXML)
}
disabled={isDisabled}
tooltipContent={dict.chat.saveDiagram}
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
@@ -528,32 +413,6 @@ export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
<ImageIcon className="h-4 w-4" />
</ButtonWithTooltip>
{onUrlChange && (
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={() => setShowUrlDialog(true)}
disabled={isDisabled}
tooltipContent={dict.chat.ExtractURL}
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<Link className="h-4 w-4" />
</ButtonWithTooltip>
)}
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={() => setShowSaveAsTemplate(true)}
disabled={isDisabled || !input.trim()}
tooltipContent={dict.templates.saveAsTemplate}
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<BookmarkPlus className="h-4 w-4" />
</ButtonWithTooltip>
<input
type="file"
ref={fileInputRef}
@@ -573,66 +432,41 @@ export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
showUnvalidatedModels={showUnvalidatedModels}
/>
<div className="w-px h-5 bg-border mx-1" />
{(status === "streaming" || status === "submitted") &&
onStop ? (
<Button
type="button"
onClick={onStop}
size="sm"
variant="destructive"
className="h-8 w-8 p-0 rounded-xl shadow-sm"
aria-label={dict.chat.stopGeneration}
>
<Square className="h-4 w-4" />
</Button>
) : (
<Button
type="submit"
disabled={isDisabled || !input.trim()}
size="sm"
className="h-8 px-4 rounded-xl font-medium shadow-sm"
aria-label={dict.chat.send}
>
<Send className="h-4 w-4 mr-1.5" />
{dict.chat.send}
</Button>
)}
<Button
type="submit"
disabled={isDisabled || !input.trim()}
size="sm"
className="h-8 px-4 rounded-xl font-medium shadow-sm"
aria-label={
isDisabled ? dict.chat.sending : dict.chat.send
}
>
{isDisabled ? (
<Loader2 className="h-4 w-4 animate-spin" />
) : (
<>
<Send className="h-4 w-4 mr-1.5" />
{dict.chat.send}
</>
)}
</Button>
</div>
</div>
<HistoryDialog
showHistory={showHistory}
onToggleHistory={setShowHistory}
/>
<SaveDialog
open={showSaveDialog}
onOpenChange={setShowSaveDialog}
onSave={(filename, format) =>
saveDiagramToFile(
filename,
format,
sessionId,
dict.save.savedSuccessfully,
)
}
defaultFilename={`diagram-${new Date()
.toISOString()
.slice(0, 10)}`}
/>
{onUrlChange && (
<UrlInputDialog
open={showUrlDialog}
onOpenChange={setShowUrlDialog}
onSubmit={handleUrlExtract}
isExtracting={isExtractingUrl}
/>
)}
<TemplateCreateDialog
open={showSaveAsTemplate}
onOpenChange={setShowSaveAsTemplate}
onSuccess={() => setShowSaveAsTemplate(false)}
initialPrompt={input.trim()}
/>
</form>
)
},
)
</div>
<HistoryDialog
showHistory={showHistory}
onToggleHistory={setShowHistory}
/>
<SaveDialog
open={showSaveDialog}
onOpenChange={setShowSaveDialog}
onSave={(filename, format) =>
saveDiagramToFile(filename, format, sessionId)
}
defaultFilename={`diagram-${new Date()
.toISOString()
.slice(0, 10)}`}
/>
</form>
)
}

View File

@@ -3,20 +3,20 @@
import type { UIMessage } from "ai"
import {
BookmarkPlus,
Check,
ChevronDown,
ChevronUp,
Copy,
Cpu,
FileCode,
FileText,
Link,
Pencil,
RotateCcw,
ThumbsDown,
ThumbsUp,
X,
} from "lucide-react"
import Image from "next/image"
import type { MutableRefObject } from "react"
import { useCallback, useEffect, useRef, useState } from "react"
import ReactMarkdown from "react-markdown"
@@ -26,23 +26,24 @@ import {
ReasoningContent,
ReasoningTrigger,
} from "@/components/ai-elements/reasoning"
import { ChatLobby } from "@/components/chat/ChatLobby"
import { TemplateCreateDialog } from "@/components/chat/TemplateCreateDialog"
import { ToolCallCard } from "@/components/chat/ToolCallCard"
import type { DiagramOperation, ToolPartLike } from "@/components/chat/types"
import type { ValidationState } from "@/components/chat/ValidationCard"
import { ValidationCard } from "@/components/chat/ValidationCard"
import Image from "@/components/image-with-basepath"
import { ScrollArea } from "@/components/ui/scroll-area"
import { useDictionary } from "@/hooks/use-dictionary"
import { getApiEndpoint } from "@/lib/base-path"
import {
applyDiagramOperations,
convertToLegalXml,
extractCompleteMxCells,
isMxCellXmlComplete,
replaceNodes,
validateAndFixXml,
} from "@/lib/utils"
import ExamplePanel from "./chat-example-panel"
import { CodeBlock } from "./code-block"
interface DiagramOperation {
operation: "update" | "add" | "delete"
cell_id: string
new_xml?: string
}
// Helper to extract complete operations from streaming input
function getCompleteOperations(
@@ -56,26 +57,76 @@ function getCompleteOperations(
["update", "add", "delete"].includes(op.operation) &&
typeof op.cell_id === "string" &&
op.cell_id.length > 0 &&
// delete doesn't need new_xml, update/add do
(op.operation === "delete" || typeof op.new_xml === "string"),
)
}
// Tool part interface for type safety
interface ToolPartLike {
type: string
toolCallId: string
state?: string
input?: {
xml?: string
operations?: DiagramOperation[]
} & Record<string, unknown>
output?: string
}
function OperationsDisplay({ operations }: { operations: DiagramOperation[] }) {
return (
<div className="space-y-3">
{operations.map((op, index) => (
<div
key={`${op.operation}-${op.cell_id}-${index}`}
className="rounded-lg border border-border/50 overflow-hidden bg-background/50"
>
<div className="px-3 py-1.5 bg-muted/40 border-b border-border/30 flex items-center gap-2">
<span
className={`text-[10px] font-medium uppercase tracking-wide ${
op.operation === "delete"
? "text-red-600"
: op.operation === "add"
? "text-green-600"
: "text-blue-600"
}`}
>
{op.operation}
</span>
<span className="text-xs text-muted-foreground">
cell_id: {op.cell_id}
</span>
</div>
{op.new_xml && (
<div className="px-3 py-2">
<pre className="text-[11px] font-mono text-foreground/80 bg-muted/30 rounded px-2 py-1.5 overflow-x-auto whitespace-pre-wrap break-all">
{op.new_xml}
</pre>
</div>
)}
</div>
))}
</div>
)
}
import { useDiagram } from "@/contexts/diagram-context"
// Helper to split text content into regular text and file/URL sections (PDF, text files, or URLs)
// Helper to split text content into regular text and file sections (PDF or text files)
interface TextSection {
type: "text" | "file" | "url"
type: "text" | "file"
content: string
filename?: string
charCount?: number
fileType?: "pdf" | "text" | "url"
fileType?: "pdf" | "text"
}
function splitTextIntoFileSections(text: string): TextSection[] {
const sections: TextSection[] = []
// Match [PDF: filename], [File: filename], or [URL: url] patterns
// Match [PDF: filename] or [File: filename] patterns
const filePattern =
/\[(PDF|File|URL):\s*([^\]]+)\]\n([\s\S]*?)(?=\n\n\[(PDF|File|URL):|$)/g
/\[(PDF|File):\s*([^\]]+)\]\n([\s\S]*?)(?=\n\n\[(PDF|File):|$)/g
let lastIndex = 0
let match
@@ -86,34 +137,28 @@ function splitTextIntoFileSections(text: string): TextSection[] {
sections.push({ type: "text", content: beforeText })
}
// Add file/url section
const sectionType = match[1].toLowerCase()
const fileType =
sectionType === "pdf"
? "pdf"
: sectionType === "url"
? "url"
: "text"
// Add file section
const fileType = match[1].toLowerCase() === "pdf" ? "pdf" : "text"
const filename = match[2].trim()
const content = match[3].trim()
const fileContent = match[3].trim()
sections.push({
type: sectionType === "url" ? "url" : "file",
content: content,
type: "file",
content: fileContent,
filename,
charCount: content.length,
charCount: fileContent.length,
fileType,
})
lastIndex = match.index + match[0].length
}
// Add remaining text after last section
// Add remaining text after last file section
const remainingText = text.slice(lastIndex).trim()
if (remainingText) {
sections.push({ type: "text", content: remainingText })
}
// If no file/url sections found, return original text
// If no file sections found, return original text
if (sections.length === 0) {
sections.push({ type: "text", content: text })
}
@@ -132,18 +177,11 @@ const getMessageTextContent = (message: UIMessage): string => {
// Get only the user's original text, excluding appended file content
const getUserOriginalText = (message: UIMessage): string => {
const fullText = getMessageTextContent(message)
// Strip out [PDF: ...], [File: ...], and [URL: ...] sections that were appended
const filePattern = /\n\n\[(PDF|File|URL):\s*[^\]]+\]\n[\s\S]*$/
// Strip out [PDF: ...] and [File: ...] sections that were appended
const filePattern = /\n\n\[(PDF|File):\s*[^\]]+\]\n[\s\S]*$/
return fullText.replace(filePattern, "").trim()
}
interface SessionMetadata {
id: string
title: string
updatedAt: number
thumbnailDataUrl?: string
}
interface ChatMessageDisplayProps {
messages: UIMessage[]
setInput: (input: string) => void
@@ -154,17 +192,6 @@ interface ChatMessageDisplayProps {
onRegenerate?: (messageIndex: number) => void
onEditMessage?: (messageIndex: number, newText: string) => void
status?: "streaming" | "submitted" | "idle" | "error" | "ready"
isRestored?: boolean
sessions?: SessionMetadata[]
onSelectSession?: (id: string) => void
onDeleteSession?: (id: string) => void
loadedMessageIdsRef?: MutableRefObject<Set<string>>
validationStates?: Record<string, ValidationState>
onImproveWithSuggestions?: (feedback: string) => void
onSendTemplate?: (
template: import("@/lib/template-storage").Template,
) => void
currentInput?: string
}
export function ChatMessageDisplay({
@@ -177,37 +204,13 @@ export function ChatMessageDisplay({
onRegenerate,
onEditMessage,
status = "idle",
isRestored = false,
sessions = [],
onSelectSession,
onDeleteSession,
loadedMessageIdsRef,
validationStates = {},
onImproveWithSuggestions,
onSendTemplate,
currentInput = "",
}: ChatMessageDisplayProps) {
const dict = useDictionary()
const { chartXML, loadDiagram: onDisplayChart } = useDiagram()
const messagesEndRef = useRef<HTMLDivElement>(null)
const scrollTopRef = useRef<HTMLDivElement>(null)
const previousXML = useRef<string>("")
const processedToolCalls = processedToolCallsRef
// Track the last processed XML per toolCallId to skip redundant processing during streaming
const lastProcessedXmlRef = useRef<Map<string, string>>(new Map())
// Reset refs when messages become empty (new chat or session switch)
// This ensures cached examples work correctly after starting a new session
useEffect(() => {
if (messages.length === 0) {
previousXML.current = ""
lastProcessedXmlRef.current.clear()
// Note: processedToolCalls is passed from parent, so we clear it too
processedToolCalls.current.clear()
// Scroll to top to show newest history items
scrollTopRef.current?.scrollIntoView({ behavior: "instant" })
}
}, [messages.length, processedToolCalls])
// Debounce streaming diagram updates - store pending XML and timeout
const pendingXmlRef = useRef<string | null>(null)
const debounceTimeoutRef = useRef<ReturnType<typeof setTimeout> | null>(
@@ -225,12 +228,6 @@ export function ChatMessageDisplay({
const [expandedTools, setExpandedTools] = useState<Record<string, boolean>>(
{},
)
const [copiedToolCallId, setCopiedToolCallId] = useState<string | null>(
null,
)
const [copyFailedToolCallId, setCopyFailedToolCallId] = useState<
string | null
>(null)
const [copiedMessageId, setCopiedMessageId] = useState<string | null>(null)
const [copyFailedMessageId, setCopyFailedMessageId] = useState<
string | null
@@ -245,44 +242,14 @@ export function ChatMessageDisplay({
const [expandedPdfSections, setExpandedPdfSections] = useState<
Record<string, boolean>
>({})
// Track "Save as Template" dialog
const [saveAsTemplateMessageId, setSaveAsTemplateMessageId] = useState<
string | null
>(null)
const setCopyState = (
messageId: string,
isToolCall: boolean,
isSuccess: boolean,
) => {
if (isSuccess) {
if (isToolCall) {
setCopiedToolCallId(messageId)
setTimeout(() => setCopiedToolCallId(null), 2000)
} else {
setCopiedMessageId(messageId)
setTimeout(() => setCopiedMessageId(null), 2000)
}
} else {
if (isToolCall) {
setCopyFailedToolCallId(messageId)
setTimeout(() => setCopyFailedToolCallId(null), 2000)
} else {
setCopyFailedMessageId(messageId)
setTimeout(() => setCopyFailedMessageId(null), 2000)
}
}
}
const copyMessageToClipboard = async (
messageId: string,
text: string,
isToolCall = false,
) => {
const copyMessageToClipboard = async (messageId: string, text: string) => {
try {
await navigator.clipboard.writeText(text)
setCopyState(messageId, isToolCall, true)
} catch (_err) {
setCopiedMessageId(messageId)
setTimeout(() => setCopiedMessageId(null), 2000)
} catch (err) {
// Fallback for non-secure contexts (HTTP) or permission denied
const textarea = document.createElement("textarea")
textarea.value = text
@@ -297,11 +264,15 @@ export function ChatMessageDisplay({
if (!success) {
throw new Error("Copy command failed")
}
setCopyState(messageId, isToolCall, true)
setCopiedMessageId(messageId)
setTimeout(() => setCopiedMessageId(null), 2000)
} catch (fallbackErr) {
console.error("Failed to copy message:", fallbackErr)
toast.error(dict.chat.failedToCopyDetail)
setCopyState(messageId, isToolCall, false)
toast.error(
"Failed to copy message. Please copy manually or check clipboard permissions.",
)
setCopyFailedMessageId(messageId)
setTimeout(() => setCopyFailedMessageId(null), 2000)
} finally {
document.body.removeChild(textarea)
}
@@ -333,7 +304,7 @@ export function ChatMessageDisplay({
})
} catch (error) {
console.error("Failed to log feedback:", error)
toast.error(dict.errors.failedToRecordFeedback)
toast.error("Failed to record your feedback. Please try again.")
// Revert optimistic UI update
setFeedback((prev) => {
const next = { ...prev }
@@ -346,6 +317,7 @@ export function ChatMessageDisplay({
const handleDisplayChart = useCallback(
(xml: string, showToast = false) => {
let currentXml = xml || ""
const startTime = performance.now()
// During streaming (showToast=false), extract only complete mxCell elements
// This allows progressive rendering even with partial/incomplete trailing XML
@@ -369,9 +341,17 @@ export function ChatMessageDisplay({
const parseError = testDoc.querySelector("parsererror")
if (parseError) {
// Only show toast if this is the final XML (not during streaming)
// Use console.warn instead of console.error to avoid triggering
// Next.js dev mode error overlay for expected streaming states
// (partial XML during streaming is normal and will be fixed by subsequent updates)
if (showToast) {
toast.error(dict.errors.malformedXml)
// Only log as error and show toast if this is the final XML
console.error(
"[ChatMessageDisplay] Malformed XML detected in final output",
)
toast.error(
"AI generated invalid diagram XML. Please try regenerating.",
)
}
return // Skip this update
}
@@ -384,12 +364,18 @@ export function ChatMessageDisplay({
`<mxfile><diagram name="Page-1" id="page-1"><mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/></root></mxGraphModel></diagram></mxfile>`
const replacedXML = replaceNodes(baseXML, convertedXml)
const xmlProcessTime = performance.now() - startTime
// During streaming (showToast=false), skip heavy validation for lower latency
// The quick DOM parse check above catches malformed XML
// Full validation runs on final output (showToast=true)
if (!showToast) {
previousXML.current = convertedXml
const loadStartTime = performance.now()
onDisplayChart(replacedXML, true)
console.log(
`[Streaming] XML processing: ${xmlProcessTime.toFixed(1)}ms, drawio load: ${(performance.now() - loadStartTime).toFixed(1)}ms`,
)
return
}
@@ -399,15 +385,37 @@ export function ChatMessageDisplay({
previousXML.current = convertedXml
// Use fixed XML if available, otherwise use original
const xmlToLoad = validation.fixed || replacedXML
if (validation.fixes.length > 0) {
console.log(
"[ChatMessageDisplay] Auto-fixed XML issues:",
validation.fixes,
)
}
// Skip validation in loadDiagram since we already validated above
const loadStartTime = performance.now()
onDisplayChart(xmlToLoad, true)
console.log(
`[Final] XML processing: ${xmlProcessTime.toFixed(1)}ms, validation+load: ${(performance.now() - loadStartTime).toFixed(1)}ms`,
)
} else {
toast.error(dict.errors.validationFailed)
console.error(
"[ChatMessageDisplay] XML validation failed:",
validation.error,
)
toast.error(
"Diagram validation failed. Please try regenerating.",
)
}
} catch (error) {
console.error("Error processing XML:", error)
console.error(
"[ChatMessageDisplay] Error processing XML:",
error,
)
// Only show toast if this is the final XML (not during streaming)
if (showToast) {
toast.error(dict.errors.failedToProcess)
toast.error(
"Failed to process diagram. Please try regenerating.",
)
}
}
}
@@ -415,33 +423,9 @@ export function ChatMessageDisplay({
[chartXML, onDisplayChart],
)
// Track previous message count to detect bulk loads vs streaming
const prevMessageCountRef = useRef(0)
const scrollThrottleRef = useRef<ReturnType<typeof setTimeout> | null>(null)
useEffect(() => {
if (messagesEndRef.current && messages.length > 0) {
const prevCount = prevMessageCountRef.current
const currentCount = messages.length
prevMessageCountRef.current = currentCount
// Bulk load (session restore) - instant scroll, no animation
if (prevCount === 0 || currentCount - prevCount > 1) {
messagesEndRef.current.scrollIntoView({ behavior: "instant" })
return
}
// Throttle scroll during streaming to avoid layout thrashing
// Leading + trailing: scroll immediately, then once more after cooldown
if (!scrollThrottleRef.current) {
messagesEndRef.current.scrollIntoView({ behavior: "smooth" })
scrollThrottleRef.current = setTimeout(() => {
scrollThrottleRef.current = null
messagesEndRef.current?.scrollIntoView({
behavior: "smooth",
})
}, 150)
}
if (messagesEndRef.current) {
messagesEndRef.current.scrollIntoView({ behavior: "smooth" })
}
}, [messages])
@@ -464,15 +448,11 @@ export function ChatMessageDisplay({
const toolPart = part as ToolPartLike
const { toolCallId, state, input } = toolPart
// Auto-collapse on completion, but only if user hasn't manually toggled
if (state === "output-available") {
setExpandedTools((prev) => {
// Only auto-collapse if not already set (user hasn't interacted)
if (prev[toolCallId] === undefined) {
return { ...prev, [toolCallId]: false }
}
return prev
})
setExpandedTools((prev) => ({
...prev,
[toolCallId]: false,
}))
}
if (
@@ -662,21 +642,149 @@ export function ChatMessageDisplay({
// Let the timeouts complete naturally - they're harmless if component unmounts.
}, [messages, handleDisplayChart, chartXML])
const renderToolPart = (part: ToolPartLike) => {
const callId = part.toolCallId
const { state, input, output } = part
const isExpanded = expandedTools[callId] ?? true
const toolName = part.type?.replace("tool-", "")
const toggleExpanded = () => {
setExpandedTools((prev) => ({
...prev,
[callId]: !isExpanded,
}))
}
const getToolDisplayName = (name: string) => {
switch (name) {
case "display_diagram":
return "Generate Diagram"
case "edit_diagram":
return "Edit Diagram"
case "get_shape_library":
return "Get Shape Library"
default:
return name
}
}
return (
<div
key={callId}
className="my-3 rounded-xl border border-border/60 bg-muted/30 overflow-hidden"
>
<div className="flex items-center justify-between px-4 py-3 bg-muted/50">
<div className="flex items-center gap-2">
<div className="w-6 h-6 rounded-md bg-primary/10 flex items-center justify-center">
<Cpu className="w-3.5 h-3.5 text-primary" />
</div>
<span className="text-sm font-medium text-foreground/80">
{getToolDisplayName(toolName)}
</span>
</div>
<div className="flex items-center gap-2">
{state === "input-streaming" && (
<div className="h-4 w-4 border-2 border-primary border-t-transparent rounded-full animate-spin" />
)}
{state === "output-available" && (
<span className="text-xs font-medium text-green-600 bg-green-50 px-2 py-0.5 rounded-full">
Complete
</span>
)}
{state === "output-error" &&
(() => {
// Check if this is a truncation (incomplete XML) vs real error
const isTruncated =
(toolName === "display_diagram" ||
toolName === "append_diagram") &&
!isMxCellXmlComplete(input?.xml)
return isTruncated ? (
<span className="text-xs font-medium text-yellow-600 bg-yellow-50 px-2 py-0.5 rounded-full">
Truncated
</span>
) : (
<span className="text-xs font-medium text-red-600 bg-red-50 px-2 py-0.5 rounded-full">
Error
</span>
)
})()}
{input && Object.keys(input).length > 0 && (
<button
type="button"
onClick={toggleExpanded}
className="p-1 rounded hover:bg-muted transition-colors"
>
{isExpanded ? (
<ChevronUp className="w-4 h-4 text-muted-foreground" />
) : (
<ChevronDown className="w-4 h-4 text-muted-foreground" />
)}
</button>
)}
</div>
</div>
{input && isExpanded && (
<div className="px-4 py-3 border-t border-border/40 bg-muted/20">
{typeof input === "object" && input.xml ? (
<CodeBlock code={input.xml} language="xml" />
) : typeof input === "object" &&
input.operations &&
Array.isArray(input.operations) ? (
<OperationsDisplay operations={input.operations} />
) : typeof input === "object" &&
Object.keys(input).length > 0 ? (
<CodeBlock
code={JSON.stringify(input, null, 2)}
language="json"
/>
) : null}
</div>
)}
{output &&
state === "output-error" &&
(() => {
const isTruncated =
(toolName === "display_diagram" ||
toolName === "append_diagram") &&
!isMxCellXmlComplete(input?.xml)
return (
<div
className={`px-4 py-3 border-t border-border/40 text-sm ${isTruncated ? "text-yellow-600" : "text-red-600"}`}
>
{isTruncated
? "Output truncated due to length limits. Try a simpler request or increase the maxOutputLength."
: output}
</div>
)
})()}
{/* Show get_shape_library output on success */}
{output &&
toolName === "get_shape_library" &&
state === "output-available" &&
isExpanded && (
<div className="px-4 py-3 border-t border-border/40">
<div className="text-xs text-muted-foreground mb-2">
Library loaded (
{typeof output === "string" ? output.length : 0}{" "}
chars)
</div>
<pre className="text-xs bg-muted/50 p-2 rounded-md overflow-auto max-h-32 whitespace-pre-wrap">
{typeof output === "string"
? output.substring(0, 800) +
(output.length > 800 ? "\n..." : "")
: String(output)}
</pre>
</div>
)}
</div>
)
}
return (
<ScrollArea className="h-full w-full scrollbar-thin">
<div ref={scrollTopRef} />
{messages.length === 0 && isRestored ? (
<ChatLobby
sessions={sessions}
onSelectSession={onSelectSession || (() => {})}
onDeleteSession={onDeleteSession}
setInput={setInput}
setFiles={setFiles}
onSendTemplate={onSendTemplate}
currentInput={currentInput}
dict={dict}
/>
) : messages.length === 0 ? null : (
{messages.length === 0 ? (
<ExamplePanel setInput={setInput} setFiles={setFiles} />
) : (
<div className="py-4 px-4 space-y-4">
{messages.map((message, messageIndex) => {
const userMessageText =
@@ -696,21 +804,13 @@ export function ChatMessageDisplay({
.slice(messageIndex + 1)
.every((m) => m.role !== "user"))
const isEditing = editingMessageId === message.id
// Skip animation for loaded messages (from session restore)
const isRestoredMessage =
loadedMessageIdsRef?.current.has(message.id) ??
false
return (
<div
key={message.id}
className={`flex w-full ${message.role === "user" ? "justify-end" : "justify-start"} ${isRestoredMessage ? "" : "animate-message-in"}`}
style={
isRestoredMessage
? undefined
: {
animationDelay: `${messageIndex * 50}ms`,
}
}
className={`flex w-full ${message.role === "user" ? "justify-end" : "justify-start"} animate-message-in`}
style={{
animationDelay: `${messageIndex * 50}ms`,
}}
>
{message.role === "user" &&
userMessageText &&
@@ -732,10 +832,7 @@ export function ChatMessageDisplay({
)
}}
className="p-1.5 rounded-lg text-muted-foreground/60 hover:text-muted-foreground hover:bg-muted transition-colors"
title={
dict.chat
.editMessage
}
title="Edit message"
>
<Pencil className="h-3.5 w-3.5" />
</button>
@@ -752,13 +849,11 @@ export function ChatMessageDisplay({
title={
copiedMessageId ===
message.id
? dict.chat.copied
? "Copied!"
: copyFailedMessageId ===
message.id
? dict.chat
.failedToCopy
: dict.chat
.copyResponse
? "Failed to copy"
: "Copy message"
}
>
{copiedMessageId ===
@@ -771,42 +866,8 @@ export function ChatMessageDisplay({
<Copy className="h-3.5 w-3.5" />
)}
</button>
{/* Save as Template button - only for user messages */}
<button
type="button"
onClick={() =>
setSaveAsTemplateMessageId(
message.id,
)
}
className="p-1.5 rounded-lg text-muted-foreground/60 hover:text-muted-foreground hover:bg-muted transition-colors"
title={
dict.templates
?.saveAsTemplate ||
"Save as Template"
}
>
<BookmarkPlus className="h-3.5 w-3.5" />
</button>
</div>
)}
{/* Save as Template Dialog */}
{saveAsTemplateMessageId === message.id && (
<TemplateCreateDialog
open={true}
onOpenChange={(open) => {
if (!open)
setSaveAsTemplateMessageId(null)
}}
onSuccess={() => {
setSaveAsTemplateMessageId(null)
}}
initialPrompt={getUserOriginalText(
message,
)}
/>
)}
<div className="max-w-[85%] min-w-0">
{/* Reasoning blocks - displayed first for assistant messages */}
{message.role === "assistant" &&
@@ -841,9 +902,6 @@ export function ChatMessageDisplay({
isStreaming={
isStreamingReasoning
}
defaultOpen={
!isRestoredMessage
}
>
<ReasoningTrigger />
<ReasoningContent>
@@ -910,7 +968,7 @@ export function ChatMessageDisplay({
}}
className="px-3 py-1.5 text-xs rounded-lg bg-muted hover:bg-muted/80 transition-colors"
>
{dict.common.cancel}
Cancel
</button>
<button
type="button"
@@ -932,7 +990,7 @@ export function ChatMessageDisplay({
disabled={!editText.trim()}
className="px-3 py-1.5 text-xs rounded-lg bg-primary text-primary-foreground hover:bg-primary/90 disabled:opacity-50 transition-colors"
>
{dict.chat.saveAndSubmit}
Save & Submit
</button>
</div>
</div>
@@ -986,56 +1044,9 @@ export function ChatMessageDisplay({
return groups.map(
(group, groupIndex) => {
if (group.type === "tool") {
const toolPart = group
.parts[0] as ToolPartLike
const toolCallId =
toolPart.toolCallId
const isDisplayDiagram =
toolPart.type ===
"tool-display_diagram"
const validationState =
validationStates[
toolCallId
]
return (
<div
key={`${message.id}-tool-${group.startIndex}`}
>
<ToolCallCard
part={
toolPart
}
expandedTools={
expandedTools
}
setExpandedTools={
setExpandedTools
}
onCopy={
copyMessageToClipboard
}
copiedToolCallId={
copiedToolCallId
}
copyFailedToolCallId={
copyFailedToolCallId
}
dict={dict}
/>
{/* Show validation card for display_diagram tools */}
{isDisplayDiagram &&
validationState && (
<ValidationCard
state={
validationState
}
onImproveWithSuggestions={
onImproveWithSuggestions
}
/>
)}
</div>
return renderToolPart(
group
.parts[0] as ToolPartLike,
)
}
@@ -1112,8 +1123,7 @@ export function ChatMessageDisplay({
"user" &&
isLastUserMessage &&
onEditMessage
? dict.chat
.clickToEdit
? "Click to edit"
: undefined
}
>
@@ -1149,14 +1159,12 @@ export function ChatMessageDisplay({
) => {
if (
section.type ===
"file" ||
section.type ===
"url"
"file"
) {
const sectionKey = `${message.id}-${section.type}-${partIndex}-${sectionIndex}`
const pdfKey = `${message.id}-file-${partIndex}-${sectionIndex}`
const isExpanded =
expandedPdfSections[
sectionKey
pdfKey
] ??
false
const charDisplay =
@@ -1165,27 +1173,10 @@ export function ChatMessageDisplay({
1000
? `${(section.charCount / 1000).toFixed(1)}k`
: section.charCount
// Icon selector
const Icon =
section.fileType ===
"pdf"
? FileText
: section.fileType ===
"url"
? Link
: FileCode
const iconColor =
section.fileType ===
"pdf"
? "text-red-500"
: "text-blue-700"
return (
<div
key={
sectionKey
pdfKey
}
className="rounded-lg border border-border/60 bg-muted/30 overflow-hidden"
>
@@ -1200,7 +1191,7 @@ export function ChatMessageDisplay({
prev,
) => ({
...prev,
[sectionKey]:
[pdfKey]:
!isExpanded,
}),
)
@@ -1208,10 +1199,13 @@ export function ChatMessageDisplay({
className="w-full flex items-center justify-between px-3 py-2 hover:bg-muted/50 transition-colors"
>
<div className="flex items-center gap-2">
<Icon
className={`h-4 w-4 ${iconColor}`}
/>
<span className="text-xs font-medium truncate max-w-[200px]">
{section.fileType ===
"pdf" ? (
<FileText className="h-4 w-4 text-red-500" />
) : (
<FileCode className="h-4 w-4 text-blue-500" />
)}
<span className="text-xs font-medium">
{
section.filename
}
@@ -1231,7 +1225,7 @@ export function ChatMessageDisplay({
)}
</button>
{isExpanded && (
<div className="px-3 py-2 border-t border-border/40 max-h-48 overflow-y-auto bg-muted/30 scrollbar-thin">
<div className="px-3 py-2 border-t border-border/40 max-h-48 overflow-y-auto bg-muted/30">
<pre className="text-xs whitespace-pre-wrap text-foreground/80">
{
section.content
@@ -1331,8 +1325,8 @@ export function ChatMessageDisplay({
title={
copiedMessageId ===
message.id
? dict.chat.copied
: dict.chat.copyResponse
? "Copied!"
: "Copy response"
}
>
{copiedMessageId ===
@@ -1358,9 +1352,7 @@ export function ChatMessageDisplay({
)
}
className="p-1.5 rounded-lg text-muted-foreground/60 hover:text-foreground hover:bg-muted transition-colors"
title={
dict.chat.regenerate
}
title="Regenerate response"
>
<RotateCcw className="h-3.5 w-3.5" />
</button>
@@ -1382,7 +1374,7 @@ export function ChatMessageDisplay({
? "text-green-600 bg-green-100"
: "text-muted-foreground/60 hover:text-green-600 hover:bg-green-50"
}`}
title={dict.chat.goodResponse}
title="Good response"
>
<ThumbsUp className="h-3.5 w-3.5" />
</button>
@@ -1401,7 +1393,7 @@ export function ChatMessageDisplay({
? "text-red-600 bg-red-100"
: "text-muted-foreground/60 hover:text-red-600 hover:bg-red-50"
}`}
title={dict.chat.badResponse}
title="Bad response"
>
<ThumbsDown className="h-3.5 w-3.5" />
</button>

File diff suppressed because it is too large Load Diff

View File

@@ -1,358 +0,0 @@
"use client"
import {
ChevronDown,
ChevronUp,
MessageSquare,
Search,
Trash2,
X,
} from "lucide-react"
import { useEffect, useState } from "react"
import { TemplatePanel } from "@/components/chat/TemplatePanel"
import ExamplePanel from "@/components/chat-example-panel"
import Image from "@/components/image-with-basepath"
import {
AlertDialog,
AlertDialogAction,
AlertDialogCancel,
AlertDialogContent,
AlertDialogDescription,
AlertDialogFooter,
AlertDialogHeader,
AlertDialogTitle,
} from "@/components/ui/alert-dialog"
import { STORAGE_KEYS } from "@/lib/storage"
import type { Template } from "@/lib/template-storage"
interface SessionMetadata {
id: string
title: string
updatedAt: number
thumbnailDataUrl?: string
}
interface ChatLobbyProps {
sessions: SessionMetadata[]
onSelectSession: (id: string) => void
onDeleteSession?: (id: string) => void
setInput: (input: string) => void
setFiles: (files: File[]) => void
onSendTemplate?: (template: Template) => void
currentInput?: string
dict: {
sessionHistory?: {
recentChats?: string
searchPlaceholder?: string
noResults?: string
justNow?: string
deleteTitle?: string
deleteDescription?: string
}
templates?: {
title?: string
myTemplates?: string
}
examples?: {
quickExamples?: string
}
common: {
delete: string
cancel: string
}
}
}
// Helper to format session date
function formatSessionDate(
timestamp: number,
dict?: { justNow?: string },
): string {
const date = new Date(timestamp)
const now = new Date()
const diffMs = now.getTime() - date.getTime()
const diffMins = Math.floor(diffMs / (1000 * 60))
const diffHours = Math.floor(diffMs / (1000 * 60 * 60))
if (diffMins < 1) return dict?.justNow || "Just now"
if (diffMins < 60) return `${diffMins}m ago`
if (diffHours < 24) return `${diffHours}h ago`
return date.toLocaleDateString(undefined, {
month: "short",
day: "numeric",
})
}
function getPanelVisibility() {
if (typeof window === "undefined")
return { recentChats: true, myTemplates: true, quickExamples: true }
return {
recentChats:
localStorage.getItem(STORAGE_KEYS.showRecentChats) !== "false",
myTemplates:
localStorage.getItem(STORAGE_KEYS.showMyTemplates) !== "false",
quickExamples:
localStorage.getItem(STORAGE_KEYS.showQuickExamples) !== "false",
}
}
export function ChatLobby({
sessions,
onSelectSession,
onDeleteSession,
setInput,
setFiles,
onSendTemplate,
currentInput = "",
dict,
}: ChatLobbyProps) {
const [templatesExpanded, setTemplatesExpanded] = useState(true)
const [examplesExpanded, setExamplesExpanded] = useState(true)
const [panelVisibility, setPanelVisibility] = useState(getPanelVisibility)
const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)
const [sessionToDelete, setSessionToDelete] = useState<string | null>(null)
const [searchQuery, setSearchQuery] = useState("")
// Listen for panel visibility changes from settings
useEffect(() => {
const handler = () => setPanelVisibility(getPanelVisibility())
window.addEventListener("panelVisibilityChange", handler)
return () =>
window.removeEventListener("panelVisibilityChange", handler)
}, [])
const hasHistory = sessions.length > 0
if (!hasHistory) {
if (!panelVisibility.myTemplates && !panelVisibility.quickExamples) {
return null
}
return (
<div className="animate-fade-in">
{panelVisibility.myTemplates && (
<TemplatePanel
setInput={setInput}
onSendTemplate={onSendTemplate}
currentInput={currentInput}
/>
)}
{panelVisibility.quickExamples && (
<div className={panelVisibility.myTemplates ? "mt-6" : ""}>
<ExamplePanel setInput={setInput} setFiles={setFiles} />
</div>
)}
</div>
)
}
// Show history + collapsible examples when there are sessions
return (
<div className="py-6 px-2 animate-fade-in">
{/* Recent Chats Section */}
{panelVisibility.recentChats && (
<div className="mb-6">
<p className="text-xs font-medium text-muted-foreground uppercase tracking-wider px-1 mb-3">
{dict.sessionHistory?.recentChats || "Recent Chats"}
</p>
{/* Search Bar */}
<div className="relative mb-3">
<Search className="absolute left-3 top-1/2 -translate-y-1/2 w-4 h-4 text-muted-foreground" />
<input
type="text"
placeholder={
dict.sessionHistory?.searchPlaceholder ||
"Search chats..."
}
value={searchQuery}
onChange={(e) => setSearchQuery(e.target.value)}
className="w-full pl-9 pr-3 py-2 text-sm rounded-lg border border-border/60 bg-background focus:outline-none focus:ring-2 focus:ring-primary/30 focus:border-primary/50 transition-all"
/>
{searchQuery && (
<button
type="button"
onClick={() => setSearchQuery("")}
className="absolute right-2 top-1/2 -translate-y-1/2 p-1 rounded hover:bg-muted transition-colors"
>
<X className="w-3 h-3 text-muted-foreground" />
</button>
)}
</div>
<div className="space-y-2">
{sessions
.filter((session) =>
session.title
.toLowerCase()
.includes(searchQuery.toLowerCase()),
)
.map((session) => (
// biome-ignore lint/a11y/useSemanticElements: Cannot use button - has nested delete button which causes hydration error
<div
key={session.id}
role="button"
tabIndex={0}
className="group w-full flex items-center gap-3 p-3 rounded-xl border border-border/60 bg-card hover:bg-accent/50 hover:border-primary/30 transition-all duration-200 cursor-pointer text-left"
onClick={() => onSelectSession(session.id)}
onKeyDown={(e) => {
if (
e.key === "Enter" ||
e.key === " "
) {
e.preventDefault()
onSelectSession(session.id)
}
}}
>
{session.thumbnailDataUrl ? (
<div className="w-12 h-12 shrink-0 rounded-lg border bg-white overflow-hidden">
<Image
src={session.thumbnailDataUrl}
alt=""
width={48}
height={48}
className="object-contain w-full h-full"
/>
</div>
) : (
<div className="w-12 h-12 shrink-0 rounded-lg bg-primary/10 flex items-center justify-center">
<MessageSquare className="w-5 h-5 text-primary" />
</div>
)}
<div className="min-w-0 flex-1">
<div className="text-sm font-medium truncate">
{session.title}
</div>
<div className="text-xs text-muted-foreground">
{formatSessionDate(
session.updatedAt,
dict.sessionHistory,
)}
</div>
</div>
{onDeleteSession && (
<button
type="button"
onClick={(e) => {
e.stopPropagation()
setSessionToDelete(session.id)
setDeleteDialogOpen(true)
}}
className="p-1.5 rounded-lg opacity-0 group-hover:opacity-100 text-muted-foreground hover:text-destructive hover:bg-destructive/10 transition-all"
title={dict.common.delete}
>
<Trash2 className="w-4 h-4" />
</button>
)}
</div>
))}
{sessions.filter((s) =>
s.title
.toLowerCase()
.includes(searchQuery.toLowerCase()),
).length === 0 &&
searchQuery && (
<p className="text-sm text-muted-foreground text-center py-4">
{dict.sessionHistory?.noResults ||
"No chats found"}
</p>
)}
</div>
</div>
)}
{/* Collapsible My Templates Section */}
{panelVisibility.myTemplates && (
<div className="border-t border-border/50 pt-4">
<button
type="button"
onClick={() => setTemplatesExpanded(!templatesExpanded)}
className="w-full flex items-center justify-between px-1 py-2 text-xs font-medium text-muted-foreground uppercase tracking-wider hover:text-foreground transition-colors"
>
<span>
{dict.templates?.myTemplates || "My Templates"}
</span>
{templatesExpanded ? (
<ChevronUp className="w-4 h-4" />
) : (
<ChevronDown className="w-4 h-4" />
)}
</button>
{templatesExpanded && (
<div className="mt-2">
<TemplatePanel
setInput={setInput}
onSendTemplate={onSendTemplate}
currentInput={currentInput}
/>
</div>
)}
</div>
)}
{/* Collapsible Quick Examples Section */}
{panelVisibility.quickExamples && (
<div className="border-t border-border/50 pt-4">
<button
type="button"
onClick={() => setExamplesExpanded(!examplesExpanded)}
className="w-full flex items-center justify-between px-1 py-2 text-xs font-medium text-muted-foreground uppercase tracking-wider hover:text-foreground transition-colors"
>
<span>
{dict.examples?.quickExamples || "Quick Examples"}
</span>
{examplesExpanded ? (
<ChevronUp className="w-4 h-4" />
) : (
<ChevronDown className="w-4 h-4" />
)}
</button>
{examplesExpanded && (
<div className="mt-2">
<ExamplePanel
setInput={setInput}
setFiles={setFiles}
minimal
/>
</div>
)}
</div>
)}
{/* Delete Confirmation Dialog */}
<AlertDialog
open={deleteDialogOpen}
onOpenChange={setDeleteDialogOpen}
>
<AlertDialogContent className="max-w-sm">
<AlertDialogHeader>
<AlertDialogTitle>
{dict.sessionHistory?.deleteTitle ||
"Delete this chat?"}
</AlertDialogTitle>
<AlertDialogDescription>
{dict.sessionHistory?.deleteDescription ||
"This will permanently delete this chat session and its diagram. This action cannot be undone."}
</AlertDialogDescription>
</AlertDialogHeader>
<AlertDialogFooter>
<AlertDialogCancel>
{dict.common.cancel}
</AlertDialogCancel>
<AlertDialogAction
onClick={() => {
if (sessionToDelete && onDeleteSession) {
onDeleteSession(sessionToDelete)
}
setDeleteDialogOpen(false)
setSessionToDelete(null)
}}
className="border border-red-300 bg-red-50 text-red-700 hover:bg-red-100 hover:border-red-400"
>
{dict.common.delete}
</AlertDialogAction>
</AlertDialogFooter>
</AlertDialogContent>
</AlertDialog>
</div>
)
}

View File

@@ -1,203 +0,0 @@
"use client"
import { Bookmark, Plus } from "lucide-react"
import { useEffect, useState } from "react"
import { Button } from "@/components/ui/button"
import {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { Input } from "@/components/ui/input"
import { Label } from "@/components/ui/label"
import { Switch } from "@/components/ui/switch"
import { Textarea } from "@/components/ui/textarea"
import { useDictionary } from "@/hooks/use-dictionary"
import {
createTemplate,
type TemplateCreateInput,
} from "@/lib/template-storage"
interface TemplateCreateDialogProps {
open: boolean
onOpenChange: (open: boolean) => void
onSuccess: () => void
initialPrompt?: string
}
export function TemplateCreateDialog({
open,
onOpenChange,
onSuccess,
initialPrompt = "",
}: TemplateCreateDialogProps) {
const dict = useDictionary()
const [title, setTitle] = useState("")
const [description, setDescription] = useState("")
const [prompt, setPrompt] = useState("")
const [pinned, setPinned] = useState(false)
const [isSubmitting, setIsSubmitting] = useState(false)
const [error, setError] = useState<string | null>(null)
// Reset form when dialog opens with the latest initialPrompt
useEffect(() => {
if (open) {
setTitle("")
setDescription("")
setPrompt(initialPrompt)
setPinned(false)
setError(null)
}
}, [open, initialPrompt])
const handleSubmit = async (e: React.FormEvent) => {
e.preventDefault()
const trimmedPrompt = prompt.trim()
if (!trimmedPrompt) {
setError(dict.templates.promptRequired)
return
}
setIsSubmitting(true)
setError(null)
try {
const input: TemplateCreateInput = {
prompt: trimmedPrompt,
title: title.trim() || undefined,
description: description.trim() || undefined,
pinned,
}
const template = await createTemplate(input)
if (template) {
onSuccess()
onOpenChange(false)
} else {
setError(dict.templates.createFailed)
}
} catch (err) {
console.error("Failed to create template:", err)
setError(dict.templates.createFailed)
} finally {
setIsSubmitting(false)
}
}
return (
<Dialog open={open} onOpenChange={onOpenChange}>
<DialogContent className="sm:max-w-[500px] overflow-hidden">
<form onSubmit={handleSubmit}>
<DialogHeader>
<DialogTitle className="flex items-center gap-2">
<Plus className="w-5 h-5" />
{dict.templates.createTitle}
</DialogTitle>
<DialogDescription>
{dict.templates.createDescription}
</DialogDescription>
</DialogHeader>
<div className="space-y-4 py-4">
{/* Prompt field - required */}
<div className="space-y-2">
<Label htmlFor="prompt" className="text-foreground">
{dict.templates.promptLabel}
<span className="text-destructive ml-1">*</span>
</Label>
<Textarea
id="prompt"
value={prompt}
onChange={(e) => setPrompt(e.target.value)}
placeholder={dict.templates.promptPlaceholder}
className="min-h-[100px] resize-none break-words"
required
/>
</div>
{/* Title field - optional */}
<div className="space-y-2">
<Label htmlFor="title" className="text-foreground">
{dict.templates.titleLabel}
</Label>
<Input
id="title"
value={title}
onChange={(e) => setTitle(e.target.value)}
placeholder={dict.templates.titlePlaceholder}
/>
<p className="text-xs text-muted-foreground">
{dict.templates.titleHint}
</p>
</div>
{/* Description field - optional */}
<div className="space-y-2">
<Label
htmlFor="description"
className="text-foreground"
>
{dict.templates.descriptionLabel}
</Label>
<Textarea
id="description"
value={description}
onChange={(e) => setDescription(e.target.value)}
placeholder={
dict.templates.descriptionPlaceholder
}
className="min-h-[60px] resize-none"
/>
</div>
{/* Pinned switch */}
<div className="flex items-center justify-between">
<div className="space-y-0.5">
<Label
htmlFor="pinned"
className="flex items-center gap-2 text-foreground"
>
<Bookmark className="w-4 h-4" />
{dict.templates.pinnedLabel}
</Label>
<p className="text-xs text-muted-foreground">
{dict.templates.pinnedHint}
</p>
</div>
<Switch
id="pinned"
checked={pinned}
onCheckedChange={setPinned}
/>
</div>
{/* Error message */}
{error && (
<p className="text-sm text-destructive">{error}</p>
)}
</div>
<DialogFooter>
<Button
type="button"
variant="outline"
onClick={() => onOpenChange(false)}
disabled={isSubmitting}
>
{dict.common.cancel}
</Button>
<Button type="submit" disabled={isSubmitting}>
{isSubmitting
? dict.common.loading
: dict.templates.createButton}
</Button>
</DialogFooter>
</form>
</DialogContent>
</Dialog>
)
}

View File

@@ -1,215 +0,0 @@
"use client"
import { Bookmark, Edit2 } from "lucide-react"
import { useEffect, useState } from "react"
import { Button } from "@/components/ui/button"
import {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { Input } from "@/components/ui/input"
import { Label } from "@/components/ui/label"
import { Switch } from "@/components/ui/switch"
import { Textarea } from "@/components/ui/textarea"
import { useDictionary } from "@/hooks/use-dictionary"
import { type Template, updateTemplate } from "@/lib/template-storage"
interface TemplateEditDialogProps {
open: boolean
onOpenChange: (open: boolean) => void
template: Template | null
onSuccess: () => void
}
export function TemplateEditDialog({
open,
onOpenChange,
template,
onSuccess,
}: TemplateEditDialogProps) {
const dict = useDictionary()
const [title, setTitle] = useState("")
const [description, setDescription] = useState("")
const [prompt, setPrompt] = useState("")
const [pinned, setPinned] = useState(false)
const [isSubmitting, setIsSubmitting] = useState(false)
const [error, setError] = useState<string | null>(null)
// Populate form when template changes
useEffect(() => {
if (template) {
setTitle(template.title || "")
setDescription(template.description || "")
setPrompt(template.prompt || "")
setPinned(template.pinned || false)
setError(null)
}
}, [template])
const handleOpenChange = (newOpen: boolean) => {
if (!newOpen) {
setError(null)
}
onOpenChange(newOpen)
}
const handleSubmit = async (e: React.FormEvent) => {
e.preventDefault()
if (!template) return
const trimmedPrompt = prompt.trim()
if (!trimmedPrompt) {
setError(dict.templates.promptRequired)
return
}
setIsSubmitting(true)
setError(null)
try {
const updates: Partial<Omit<Template, "id" | "createdAt">> = {
prompt: trimmedPrompt,
title: title.trim() || template.title,
description: description.trim() || undefined,
pinned,
}
const updated = await updateTemplate(template.id, updates)
if (updated) {
onSuccess()
onOpenChange(false)
} else {
setError(dict.templates.updateFailed)
}
} catch (err) {
console.error("Failed to update template:", err)
setError(dict.templates.updateFailed)
} finally {
setIsSubmitting(false)
}
}
return (
<Dialog open={open} onOpenChange={handleOpenChange}>
<DialogContent className="sm:max-w-[500px] overflow-hidden">
<form onSubmit={handleSubmit}>
<DialogHeader>
<DialogTitle className="flex items-center gap-2">
<Edit2 className="w-5 h-5" />
{dict.templates.editTitle}
</DialogTitle>
<DialogDescription>
{dict.templates.editDescription}
</DialogDescription>
</DialogHeader>
<div className="space-y-4 py-4">
{/* Prompt field - required */}
<div className="space-y-2">
<Label
htmlFor="edit-prompt"
className="text-foreground"
>
{dict.templates.promptLabel}
<span className="text-destructive ml-1">*</span>
</Label>
<Textarea
id="edit-prompt"
value={prompt}
onChange={(e) => setPrompt(e.target.value)}
placeholder={dict.templates.promptPlaceholder}
className="min-h-[100px] resize-none break-words"
required
/>
</div>
{/* Title field - optional */}
<div className="space-y-2">
<Label
htmlFor="edit-title"
className="text-foreground"
>
{dict.templates.titleLabel}
</Label>
<Input
id="edit-title"
value={title}
onChange={(e) => setTitle(e.target.value)}
placeholder={dict.templates.titlePlaceholder}
/>
<p className="text-xs text-muted-foreground">
{dict.templates.titleHint}
</p>
</div>
{/* Description field - optional */}
<div className="space-y-2">
<Label
htmlFor="edit-description"
className="text-foreground"
>
{dict.templates.descriptionLabel}
</Label>
<Textarea
id="edit-description"
value={description}
onChange={(e) => setDescription(e.target.value)}
placeholder={
dict.templates.descriptionPlaceholder
}
className="min-h-[60px] resize-none"
/>
</div>
{/* Pinned switch */}
<div className="flex items-center justify-between">
<div className="space-y-0.5">
<Label
htmlFor="edit-pinned"
className="flex items-center gap-2 text-foreground"
>
<Bookmark className="w-4 h-4" />
{dict.templates.pinnedLabel}
</Label>
<p className="text-xs text-muted-foreground">
{dict.templates.pinnedHint}
</p>
</div>
<Switch
id="edit-pinned"
checked={pinned}
onCheckedChange={setPinned}
/>
</div>
{/* Error message */}
{error && (
<p className="text-sm text-destructive">{error}</p>
)}
</div>
<DialogFooter>
<Button
type="button"
variant="outline"
onClick={() => onOpenChange(false)}
disabled={isSubmitting}
>
{dict.common.cancel}
</Button>
<Button type="submit" disabled={isSubmitting}>
{isSubmitting
? dict.common.loading
: dict.common.save}
</Button>
</DialogFooter>
</form>
</DialogContent>
</Dialog>
)
}

View File

@@ -1,622 +0,0 @@
"use client"
import {
Bookmark,
Copy,
Download,
Edit2,
FileText,
Plus,
Search,
Trash2,
Upload,
} from "lucide-react"
import { useCallback, useEffect, useRef, useState } from "react"
import {
AlertDialog,
AlertDialogAction,
AlertDialogCancel,
AlertDialogContent,
AlertDialogDescription,
AlertDialogFooter,
AlertDialogHeader,
AlertDialogTitle,
} from "@/components/ui/alert-dialog"
import { useDictionary } from "@/hooks/use-dictionary"
import {
deleteTemplate,
duplicateTemplate,
exportTemplates,
getAllTemplates,
importTemplates,
incrementClickCount,
incrementRunCount,
searchTemplates,
type Template,
updateTemplate,
validateImportData,
} from "@/lib/template-storage"
import { TemplateCreateDialog } from "./TemplateCreateDialog"
import { TemplateEditDialog } from "./TemplateEditDialog"
interface TemplatePanelProps {
setInput: (input: string) => void
onSendTemplate?: (template: Template) => void
currentInput?: string
}
function formatLastUsed(timestamp: number, neverUsedText: string): string {
if (!timestamp) return neverUsedText
const now = Date.now()
const diffMs = now - timestamp
const diffMins = Math.floor(diffMs / (1000 * 60))
const diffHours = Math.floor(diffMs / (1000 * 60 * 60))
const diffDays = Math.floor(diffMs / (1000 * 60 * 60 * 24))
try {
const rtf = new Intl.RelativeTimeFormat(undefined, { numeric: "auto" })
if (diffMins < 1) return rtf.format(0, "minute")
if (diffMins < 60) return rtf.format(-diffMins, "minute")
if (diffHours < 24) return rtf.format(-diffHours, "hour")
if (diffDays < 7) return rtf.format(-diffDays, "day")
} catch {
// Fallback if Intl.RelativeTimeFormat is not available
if (diffMins < 1) return "<1m ago"
if (diffMins < 60) return `${diffMins}m ago`
if (diffHours < 24) return `${diffHours}h ago`
if (diffDays < 7) return `${diffDays}d ago`
}
return new Date(timestamp).toLocaleDateString(undefined, {
month: "short",
day: "numeric",
})
}
export function TemplatePanel({
setInput,
onSendTemplate,
currentInput = "",
}: TemplatePanelProps) {
const dict = useDictionary()
const [templates, setTemplates] = useState<Template[]>([])
const [loading, setLoading] = useState(true)
const [createDialogOpen, setCreateDialogOpen] = useState(false)
const [editDialogOpen, setEditDialogOpen] = useState(false)
const [templateToEdit, setTemplateToEdit] = useState<Template | null>(null)
const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)
const [templateToDelete, setTemplateToDelete] = useState<Template | null>(
null,
)
const [confirmSendDialogOpen, setConfirmSendDialogOpen] = useState(false)
const [templateToSend, setTemplateToSend] = useState<Template | null>(null)
const [searchQuery, setSearchQuery] = useState("")
const fileInputRef = useRef<HTMLInputElement>(null)
const [importMessage, setImportMessage] = useState<{
type: "success" | "error"
text: string
} | null>(null)
const loadTemplates = useCallback(async () => {
const result = await getAllTemplates()
setTemplates(result)
setLoading(false)
}, [])
// Filter templates by search query
const filteredTemplates = searchQuery.trim()
? searchTemplates(templates, searchQuery)
: templates
useEffect(() => {
loadTemplates()
}, [loadTemplates])
const handleCreateSuccess = () => {
loadTemplates()
}
const handleEditSuccess = () => {
loadTemplates()
}
const handleEdit = (template: Template) => {
setTemplateToEdit(template)
setEditDialogOpen(true)
}
const handleDuplicate = async (template: Template) => {
const duplicated = await duplicateTemplate(
template.id,
dict.templates.copySuffix || "(copy)",
)
if (duplicated) {
loadTemplates()
}
}
const handleDeleteClick = (template: Template) => {
setTemplateToDelete(template)
setDeleteDialogOpen(true)
}
const handleDeleteConfirm = async () => {
if (!templateToDelete) return
const success = await deleteTemplate(templateToDelete.id)
if (success) {
loadTemplates()
}
setDeleteDialogOpen(false)
setTemplateToDelete(null)
}
const handleTogglePin = async (template: Template) => {
const updated = await updateTemplate(template.id, {
pinned: !template.pinned,
})
if (updated) {
loadTemplates()
}
}
// Handle template card click - send directly or show confirmation
const handleTemplateClick = async (template: Template) => {
// If there's unsent content in the input, show confirmation dialog
if (currentInput.trim()) {
setTemplateToSend(template)
setConfirmSendDialogOpen(true)
return
}
// No unsent content, send directly
await sendTemplate(template)
}
// Actually send the template
const sendTemplate = async (template: Template) => {
// Increment click count only when actually sending
await incrementClickCount(template.id)
if (onSendTemplate) {
// Increment run count and update lastUsedAt
await incrementRunCount(template.id)
// Reload to show updated stats
loadTemplates()
// Call the send callback
onSendTemplate(template)
} else {
// Fallback: just fill the input if no send callback provided
setInput(template.prompt)
}
setConfirmSendDialogOpen(false)
setTemplateToSend(null)
}
// Handle confirmation dialog - user confirmed to send template
const handleConfirmSend = async () => {
if (!templateToSend) return
await sendTemplate(templateToSend)
}
// Handle cancel - close dialog without sending
const handleCancelSend = () => {
setConfirmSendDialogOpen(false)
setTemplateToSend(null)
}
// Export templates to JSON file
const handleExport = () => {
if (templates.length === 0) {
setImportMessage({
type: "error",
text: dict.templates.exportEmpty || "No templates to export",
})
return
}
try {
const exportData = exportTemplates(templates)
const json = JSON.stringify(exportData, null, 2)
const blob = new Blob([json], { type: "application/json" })
const url = URL.createObjectURL(blob)
const a = document.createElement("a")
a.href = url
a.download = `templates-${new Date().toISOString().split("T")[0]}.json`
document.body.appendChild(a)
a.click()
document.body.removeChild(a)
URL.revokeObjectURL(url)
setImportMessage({
type: "success",
text: dict.templates.exportSuccess.replace(
"{count}",
String(templates.length),
),
})
setTimeout(() => setImportMessage(null), 3000)
} catch (error) {
console.error("Failed to export templates:", error)
setImportMessage({
type: "error",
text: `Export failed: ${error instanceof Error ? error.message : "Unknown error"}`,
})
}
}
// Import templates from JSON file
const handleImport = async (event: React.ChangeEvent<HTMLInputElement>) => {
const file = event.target.files?.[0]
if (!file) {
setImportMessage({
type: "error",
text:
dict.templates.importNoFile || "Please select a JSON file",
})
return
}
try {
const text = await file.text()
const data = JSON.parse(text)
// Validate import data
const validation = validateImportData(data)
if (!validation.valid) {
setImportMessage({
type: "error",
text: dict.templates.importFailed.replace(
"{error}",
validation.error || "Invalid data",
),
})
return
}
// Import templates with dedup-append strategy
const result = await importTemplates(data.templates, templates)
// Reload template list
await loadTemplates()
setImportMessage({
type: "success",
text: dict.templates.importSuccess
.replace("{imported}", String(result.imported))
.replace("{skipped}", String(result.skipped)),
})
setTimeout(() => setImportMessage(null), 5000)
} catch (error) {
console.error("Failed to import templates:", error)
setImportMessage({
type: "error",
text: dict.templates.importFailed.replace(
"{error}",
error instanceof Error ? error.message : "Unknown error",
),
})
} finally {
// Reset file input
if (fileInputRef.current) {
fileInputRef.current.value = ""
}
}
}
// Empty state: no templates at all
if (!loading && templates.length === 0) {
return (
<div className="py-6 px-2 animate-fade-in">
<div className="text-center mb-6">
<h2 className="text-lg font-semibold text-foreground mb-2">
{dict.templates.title}
</h2>
<p className="text-sm text-muted-foreground max-w-xs mx-auto">
{dict.templates.subtitle}
</p>
</div>
<div className="flex flex-col items-center justify-center py-8 px-4">
<div className="w-16 h-16 rounded-2xl bg-primary/10 flex items-center justify-center mb-4">
<FileText className="w-8 h-8 text-primary/60" />
</div>
<p className="text-sm font-medium text-foreground mb-1">
{dict.templates.emptyTitle}
</p>
<p className="text-xs text-muted-foreground text-center max-w-[240px] mb-4">
{dict.templates.emptyDescription}
</p>
<button
type="button"
className="inline-flex items-center gap-2 px-4 py-2 rounded-lg bg-primary text-primary-foreground text-sm font-medium hover:bg-primary/90 transition-colors"
onClick={() => setCreateDialogOpen(true)}
>
<Plus className="w-4 h-4" />
{dict.templates.createFirst}
</button>
<TemplateCreateDialog
open={createDialogOpen}
onOpenChange={setCreateDialogOpen}
onSuccess={handleCreateSuccess}
/>
</div>
</div>
)
}
// Template list
return (
<div className="py-2 px-2 animate-fade-in">
<div className="space-y-3">
{/* Search bar */}
<div className="relative">
<Search className="absolute left-3 top-1/2 -translate-y-1/2 w-4 h-4 text-muted-foreground pointer-events-none" />
<input
type="text"
value={searchQuery}
onChange={(e) => setSearchQuery(e.target.value)}
placeholder={dict.templates.searchPlaceholder}
className="w-full pl-9 pr-3 py-2 text-sm rounded-lg border border-border/60 bg-background focus:outline-none focus:ring-2 focus:ring-primary/30 focus:border-primary/50 transition-all"
/>
</div>
{/* Action buttons */}
<div className="flex items-center gap-2">
<button
type="button"
onClick={() => setCreateDialogOpen(true)}
className="inline-flex items-center gap-1.5 px-3 py-1.5 rounded-md text-xs font-medium text-primary hover:bg-primary/10 transition-colors"
>
<Plus className="w-3.5 h-3.5" />
{dict.templates.createButton}
</button>
<div className="flex-1" />
<button
type="button"
onClick={handleExport}
disabled={templates.length === 0}
className="inline-flex items-center gap-1.5 px-3 py-1.5 rounded-md text-xs font-medium text-muted-foreground hover:text-foreground hover:bg-muted transition-colors disabled:opacity-50 disabled:cursor-not-allowed"
title={dict.templates.exportTemplates}
>
<Download className="w-3.5 h-3.5" />
{dict.templates.exportTemplates}
</button>
<button
type="button"
onClick={() => fileInputRef.current?.click()}
className="inline-flex items-center gap-1.5 px-3 py-1.5 rounded-md text-xs font-medium text-muted-foreground hover:text-foreground hover:bg-muted transition-colors"
title={dict.templates.importTemplates}
>
<Upload className="w-3.5 h-3.5" />
{dict.templates.importTemplates}
</button>
<input
ref={fileInputRef}
type="file"
accept="application/json,.json"
onChange={handleImport}
className="hidden"
/>
</div>
{/* Import message */}
{importMessage && (
<div
className={`text-xs px-3 py-2 rounded-lg ${
importMessage.type === "success"
? "bg-green-100 text-green-800 dark:bg-green-900/30 dark:text-green-400"
: "bg-red-100 text-red-800 dark:bg-red-900/30 dark:text-red-400"
}`}
>
{importMessage.text}
</div>
)}
<div className="space-y-2">
{loading
? // Loading skeleton
Array.from({ length: 3 }).map((_, i) => (
<div
key={`skeleton-${String(i)}`}
className="w-full p-4 rounded-xl border border-border/60 bg-card animate-pulse"
>
<div className="flex items-start gap-3">
<div className="w-9 h-9 rounded-lg bg-muted shrink-0" />
<div className="flex-1 space-y-2">
<div className="h-4 bg-muted rounded w-2/3" />
<div className="h-3 bg-muted rounded w-1/2" />
</div>
</div>
</div>
))
: filteredTemplates.length === 0
? // Search empty state
!loading && (
<div className="flex flex-col items-center justify-center py-6 px-4">
<Search className="w-8 h-8 text-muted-foreground/40 mb-2" />
<p className="text-sm text-muted-foreground text-center">
{dict.templates.searchNoResults}
</p>
</div>
)
: filteredTemplates.map((template) => (
// biome-ignore lint/a11y/useSemanticElements: Cannot use button - has nested action buttons which causes hydration error
<div
key={template.id}
className="group w-full flex items-center gap-3 p-3 rounded-xl border border-border/60 bg-card hover:bg-accent/50 hover:border-primary/30 transition-all duration-200 cursor-pointer text-left"
onClick={() =>
handleTemplateClick(template)
}
onKeyDown={(e) => {
if (
e.key === "Enter" ||
e.key === " "
) {
e.preventDefault()
handleTemplateClick(template)
}
}}
role="button"
tabIndex={0}
>
<div className="min-w-0 flex-1">
<div className="flex items-center gap-2">
<div className="text-sm font-medium truncate">
{template.title}
</div>
{template.pinned && (
<Bookmark className="w-3 h-3 text-primary fill-primary shrink-0" />
)}
</div>
{template.description && (
<div className="text-xs text-muted-foreground truncate">
{template.description}
</div>
)}
</div>
{/* Actions and stats */}
<div className="relative shrink-0">
<div className="text-[11px] text-muted-foreground whitespace-nowrap group-hover:invisible">
{template.runCount > 0
? `${dict.templates.usedCount.replace("{count}", String(template.runCount))} · ${formatLastUsed(template.lastUsedAt, dict.templates.neverUsed)}`
: dict.templates.neverUsed}
</div>
<div className="absolute inset-0 flex items-center justify-end gap-0.5 opacity-0 group-hover:opacity-100 group-focus-within:opacity-100 transition-opacity">
<button
type="button"
onClick={(e) => {
e.stopPropagation()
handleTogglePin(template)
}}
className={`p-1.5 rounded-lg transition-all ${
template.pinned
? "text-primary hover:text-primary/80 hover:bg-primary/10"
: "text-muted-foreground hover:text-foreground hover:bg-muted"
}`}
title={
template.pinned
? dict.templates
.unpin || "Unpin"
: dict.templates.pin ||
"Pin"
}
>
<Bookmark
className={`w-4 h-4 ${template.pinned ? "fill-current" : ""}`}
/>
</button>
<button
type="button"
onClick={(e) => {
e.stopPropagation()
handleEdit(template)
}}
className="p-1.5 rounded-lg text-muted-foreground hover:text-foreground hover:bg-muted transition-all"
title={dict.common.edit}
>
<Edit2 className="w-4 h-4" />
</button>
<button
type="button"
onClick={(e) => {
e.stopPropagation()
handleDuplicate(template)
}}
className="p-1.5 rounded-lg text-muted-foreground hover:text-foreground hover:bg-muted transition-all"
title={
dict.templates.duplicate ||
"Duplicate"
}
>
<Copy className="w-4 h-4" />
</button>
<button
type="button"
onClick={(e) => {
e.stopPropagation()
handleDeleteClick(template)
}}
className="p-1.5 rounded-lg text-muted-foreground hover:text-destructive hover:bg-destructive/10 transition-all"
title={dict.common.delete}
>
<Trash2 className="w-4 h-4" />
</button>
</div>
</div>
</div>
))}
</div>
</div>
<TemplateCreateDialog
open={createDialogOpen}
onOpenChange={setCreateDialogOpen}
onSuccess={handleCreateSuccess}
/>
<TemplateEditDialog
open={editDialogOpen}
onOpenChange={setEditDialogOpen}
template={templateToEdit}
onSuccess={handleEditSuccess}
/>
{/* Delete Confirmation Dialog */}
<AlertDialog
open={deleteDialogOpen}
onOpenChange={setDeleteDialogOpen}
>
<AlertDialogContent className="max-w-sm">
<AlertDialogHeader>
<AlertDialogTitle>
{dict.templates.deleteTitle ||
"Delete this template?"}
</AlertDialogTitle>
<AlertDialogDescription>
{dict.templates.deleteDescription ||
"This will permanently delete this template. This action cannot be undone."}
</AlertDialogDescription>
</AlertDialogHeader>
<AlertDialogFooter>
<AlertDialogCancel>
{dict.common.cancel}
</AlertDialogCancel>
<AlertDialogAction
onClick={handleDeleteConfirm}
className="border border-red-300 bg-red-50 text-red-700 hover:bg-red-100 hover:border-red-400"
>
{dict.common.delete}
</AlertDialogAction>
</AlertDialogFooter>
</AlertDialogContent>
</AlertDialog>
{/* Confirm Send Dialog - when there's unsent input */}
<AlertDialog
open={confirmSendDialogOpen}
onOpenChange={setConfirmSendDialogOpen}
>
<AlertDialogContent className="max-w-sm">
<AlertDialogHeader>
<AlertDialogTitle>
{dict.templates.confirmSendTitle ||
"Replace current input?"}
</AlertDialogTitle>
<AlertDialogDescription>
{dict.templates.confirmSendDescription ||
"You have unsent content in the input. Sending this template will replace it."}
</AlertDialogDescription>
</AlertDialogHeader>
<AlertDialogFooter>
<AlertDialogCancel onClick={handleCancelSend}>
{dict.common.cancel}
</AlertDialogCancel>
<AlertDialogAction onClick={handleConfirmSend}>
{dict.templates.confirmSendButton ||
"Send Template"}
</AlertDialogAction>
</AlertDialogFooter>
</AlertDialogContent>
</AlertDialog>
</div>
)
}

View File

@@ -1,265 +0,0 @@
"use client"
import { Check, ChevronDown, ChevronUp, Copy, Cpu } from "lucide-react"
import type { Dispatch, SetStateAction } from "react"
import { CodeBlock } from "@/components/code-block"
import { isMxCellXmlComplete } from "@/lib/utils"
import type { DiagramOperation, ToolPartLike } from "./types"
interface ToolCallCardProps {
part: ToolPartLike
expandedTools: Record<string, boolean>
setExpandedTools: Dispatch<SetStateAction<Record<string, boolean>>>
onCopy: (callId: string, text: string, isToolCall: boolean) => void
copiedToolCallId: string | null
copyFailedToolCallId: string | null
dict: {
tools: { complete: string }
chat: { copied: string; failedToCopy: string; copyResponse: string }
}
}
function OperationsDisplay({ operations }: { operations: DiagramOperation[] }) {
return (
<div className="space-y-3">
{operations.map((op, index) => (
<div
key={`${op.operation}-${op.cell_id}-${index}`}
className="rounded-lg border border-border/50 overflow-hidden bg-background/50"
>
<div className="px-3 py-1.5 bg-muted/40 border-b border-border/30 flex items-center gap-2">
<span
className={`text-[10px] font-medium uppercase tracking-wide ${
op.operation === "delete"
? "text-red-600"
: op.operation === "add"
? "text-green-600"
: "text-blue-600"
}`}
>
{op.operation}
</span>
<span className="text-xs text-muted-foreground">
cell_id: {op.cell_id}
</span>
</div>
{op.new_xml && (
<div className="px-3 py-2">
<pre className="text-[11px] font-mono text-foreground/80 bg-muted/30 rounded px-2 py-1.5 overflow-x-auto whitespace-pre-wrap break-all">
{op.new_xml}
</pre>
</div>
)}
</div>
))}
</div>
)
}
export function ToolCallCard({
part,
expandedTools,
setExpandedTools,
onCopy,
copiedToolCallId,
copyFailedToolCallId,
dict,
}: ToolCallCardProps) {
const callId = part.toolCallId
const { state, input, output } = part
// Default to expanded for all states (user can manually collapse if needed)
const isExpanded = expandedTools[callId] ?? true
const toolName = part.type?.replace("tool-", "")
const isCopied = copiedToolCallId === callId
const toggleExpanded = () => {
setExpandedTools((prev) => ({
...prev,
[callId]: !isExpanded,
}))
}
const getToolDisplayName = (name: string) => {
switch (name) {
case "display_diagram":
return "Generate Diagram"
case "edit_diagram":
return "Edit Diagram"
case "get_shape_library":
return "Get Shape Library"
default:
return name
}
}
const handleCopy = () => {
let textToCopy = ""
if (input && typeof input === "object") {
if (input.xml) {
textToCopy = input.xml
} else if (input.operations && Array.isArray(input.operations)) {
textToCopy = JSON.stringify(input.operations, null, 2)
} else if (Object.keys(input).length > 0) {
textToCopy = JSON.stringify(input, null, 2)
}
}
if (
output &&
toolName === "get_shape_library" &&
typeof output === "string"
) {
textToCopy = output
}
if (textToCopy) {
onCopy(callId, textToCopy, true)
}
}
return (
<div className="my-3 rounded-xl border border-border/60 bg-muted/30 overflow-hidden">
<div className="flex items-center justify-between px-4 py-3 bg-muted/50">
<div className="flex items-center gap-2">
<div className="w-6 h-6 rounded-md bg-primary/10 flex items-center justify-center">
<Cpu className="w-3.5 h-3.5 text-primary" />
</div>
<span className="text-sm font-medium text-foreground/80">
{getToolDisplayName(toolName)}
</span>
</div>
<div className="flex items-center gap-2">
{state === "input-streaming" && (
<div className="h-4 w-4 border-2 border-primary border-t-transparent rounded-full animate-spin" />
)}
{state === "output-available" && (
<>
<span className="text-xs font-medium text-green-600 bg-green-50 px-2 py-0.5 rounded-full">
{dict.tools.complete}
</span>
{isExpanded && (
<button
type="button"
onClick={handleCopy}
className="p-1 rounded hover:bg-muted transition-colors"
title={
copiedToolCallId === callId
? dict.chat.copied
: copyFailedToolCallId === callId
? dict.chat.failedToCopy
: dict.chat.copyResponse
}
>
{isCopied ? (
<Check className="w-4 h-4 text-green-600" />
) : (
<Copy className="w-4 h-4 text-muted-foreground" />
)}
</button>
)}
</>
)}
{state === "output-error" &&
(() => {
// Check if this is a truncation (incomplete XML) vs real error
const isTruncated =
(toolName === "display_diagram" ||
toolName === "append_diagram") &&
!isMxCellXmlComplete(input?.xml)
return isTruncated ? (
<span className="text-xs font-medium text-yellow-600 bg-yellow-50 px-2 py-0.5 rounded-full">
Truncated
</span>
) : (
<span className="text-xs font-medium text-red-600 bg-red-50 px-2 py-0.5 rounded-full">
Error
</span>
)
})()}
{input && Object.keys(input).length > 0 && (
<button
type="button"
onClick={toggleExpanded}
className="p-1 rounded hover:bg-muted transition-colors"
>
{isExpanded ? (
<ChevronUp className="w-4 h-4 text-muted-foreground" />
) : (
<ChevronDown className="w-4 h-4 text-muted-foreground" />
)}
</button>
)}
</div>
</div>
{input && isExpanded && (
<div className="px-4 py-3 border-t border-border/40 bg-muted/20">
{typeof input === "object" && input.xml ? (
state === "input-streaming" ||
state === "input-available" ? (
<pre
className="text-[11px] leading-relaxed overflow-x-auto overflow-y-auto max-h-48 scrollbar-thin break-all whitespace-pre-wrap"
style={{
fontFamily:
"var(--font-mono), ui-monospace, monospace",
margin: 0,
padding: 0,
}}
>
{input.xml}
</pre>
) : (
<CodeBlock code={input.xml} language="xml" />
)
) : typeof input === "object" &&
input.operations &&
Array.isArray(input.operations) ? (
<OperationsDisplay operations={input.operations} />
) : typeof input === "object" &&
Object.keys(input).length > 0 ? (
<CodeBlock
code={JSON.stringify(input, null, 2)}
language="json"
/>
) : null}
</div>
)}
{output &&
state === "output-error" &&
(() => {
const isTruncated =
(toolName === "display_diagram" ||
toolName === "append_diagram") &&
!isMxCellXmlComplete(input?.xml)
return (
<div
className={`px-4 py-3 border-t border-border/40 text-sm ${isTruncated ? "text-yellow-600" : "text-red-600"}`}
>
{isTruncated
? "Output truncated due to length limits. Try a simpler request or increase the maxOutputLength."
: output}
</div>
)
})()}
{/* Show get_shape_library output on success */}
{output &&
toolName === "get_shape_library" &&
state === "output-available" &&
isExpanded && (
<div className="px-4 py-3 border-t border-border/40">
<div className="text-xs text-muted-foreground mb-2">
Library loaded (
{typeof output === "string" ? output.length : 0}{" "}
chars)
</div>
<pre className="text-xs bg-muted/50 p-2 rounded-md overflow-auto max-h-32 whitespace-pre-wrap">
{typeof output === "string"
? output.substring(0, 800) +
(output.length > 800 ? "\n..." : "")
: String(output)}
</pre>
</div>
)}
</div>
)
}

View File

@@ -1,328 +0,0 @@
"use client"
import {
AlertTriangle,
Check,
ChevronDown,
ChevronUp,
Eye,
ImageIcon,
RefreshCw,
X,
} from "lucide-react"
import { useState } from "react"
import Image from "@/components/image-with-basepath"
import { useDictionary } from "@/hooks/use-dictionary"
import type { ValidationResult } from "@/lib/diagram-validator"
export type ValidationStatus =
| "idle"
| "capturing"
| "validating"
| "success"
| "success_with_warnings"
| "failed"
| "error"
| "skipped"
export interface ValidationState {
status: ValidationStatus
attempt?: number
maxAttempts?: number
result?: ValidationResult
error?: string
imageData?: string // Base64 PNG data URL
}
interface ValidationCardProps {
state: ValidationState
onImproveWithSuggestions?: (feedback: string) => void
}
export function ValidationCard({
state,
onImproveWithSuggestions,
}: ValidationCardProps) {
const dict = useDictionary()
const [isExpanded, setIsExpanded] = useState(
state.status === "validating" || state.status === "failed",
)
const [hasRequestedImprovement, setHasRequestedImprovement] =
useState(false)
// Generate improvement feedback from validation result
const generateImprovementFeedback = (): string => {
if (!state.result) return ""
const lines: string[] = []
lines.push(
"Please improve the diagram based on the following visual analysis feedback:",
)
lines.push("")
if (state.result.issues.length > 0) {
lines.push("Issues to address:")
for (const issue of state.result.issues) {
lines.push(
` - [${issue.severity}] ${issue.type}: ${issue.description}`,
)
}
lines.push("")
}
if (state.result.suggestions.length > 0) {
lines.push("Suggestions for improvement:")
for (const suggestion of state.result.suggestions) {
lines.push(` - ${suggestion}`)
}
lines.push("")
}
lines.push("Regenerate the diagram with these improvements applied.")
return lines.join("\n")
}
const handleImproveClick = () => {
if (
!onImproveWithSuggestions ||
!state.result ||
hasRequestedImprovement
)
return
setHasRequestedImprovement(true)
const feedback = generateImprovementFeedback()
onImproveWithSuggestions(feedback)
}
// Check if we should show the improve button
const showImproveButton =
onImproveWithSuggestions &&
state.result &&
(state.status === "success" ||
state.status === "success_with_warnings" ||
state.status === "skipped") &&
(state.result.issues.length > 0 || state.result.suggestions.length > 0)
const getStatusDisplay = () => {
switch (state.status) {
case "capturing":
return {
label: dict.validation.capturing,
color: "text-blue-600 bg-blue-50",
icon: (
<div className="h-4 w-4 border-2 border-blue-600 border-t-transparent rounded-full animate-spin" />
),
}
case "validating":
return {
label: state.attempt
? dict.validation.validatingWithAttempt
.replace("{attempt}", String(state.attempt))
.replace("{max}", String(state.maxAttempts || 3))
: dict.validation.validating,
color: "text-blue-600 bg-blue-50",
icon: (
<div className="h-4 w-4 border-2 border-blue-600 border-t-transparent rounded-full animate-spin" />
),
}
case "success":
return {
label: dict.validation.valid,
color: "text-green-600 bg-green-50",
icon: <Check className="h-4 w-4" aria-hidden="true" />,
}
case "success_with_warnings":
return {
label: dict.validation.validWithWarnings,
color: "text-amber-600 bg-amber-50",
icon: (
<AlertTriangle className="h-4 w-4" aria-hidden="true" />
),
}
case "failed":
return {
label: dict.validation.issuesFound,
color: "text-yellow-600 bg-yellow-50",
icon: (
<AlertTriangle className="h-4 w-4" aria-hidden="true" />
),
}
case "error":
return {
label: dict.validation.error,
color: "text-red-600 bg-red-50",
icon: <X className="h-4 w-4" aria-hidden="true" />,
}
case "skipped":
return {
label: dict.validation.skipped,
color: "text-gray-600 bg-gray-50",
icon: <Check className="h-4 w-4" aria-hidden="true" />,
}
default:
return null
}
}
const statusDisplay = getStatusDisplay()
if (!statusDisplay || state.status === "idle") return null
return (
<div className="my-3 rounded-xl border border-border/60 bg-muted/30 overflow-hidden">
<div className="flex items-center justify-between px-4 py-3 bg-muted/50">
<div className="flex items-center gap-2">
<div className="w-6 h-6 rounded-md bg-primary/10 flex items-center justify-center">
<Eye
className="w-3.5 h-3.5 text-primary"
aria-hidden="true"
/>
</div>
<span className="text-sm font-medium text-foreground/80">
{dict.validation.title}
</span>
</div>
<div className="flex items-center gap-2">
<span
className={`text-xs font-medium px-2 py-0.5 rounded-full flex items-center gap-1 ${statusDisplay.color}`}
>
{statusDisplay.icon}
<span className="ml-1">{statusDisplay.label}</span>
</span>
{(state.result || state.error) && (
<button
type="button"
onClick={() => setIsExpanded(!isExpanded)}
className="p-1 rounded hover:bg-muted transition-colors"
>
{isExpanded ? (
<ChevronUp
className="w-4 h-4 text-muted-foreground"
aria-hidden="true"
/>
) : (
<ChevronDown
className="w-4 h-4 text-muted-foreground"
aria-hidden="true"
/>
)}
</button>
)}
</div>
</div>
{/* Validation details when expanded */}
{isExpanded && (state.result || state.imageData) && (
<div className="px-4 py-3 border-t border-border/40 bg-muted/20 space-y-3">
{/* Captured image */}
{state.imageData && (
<div>
<div className="text-xs font-medium text-foreground/70 mb-2 flex items-center gap-1">
<ImageIcon
className="h-3 w-3"
aria-hidden="true"
/>
{dict.validation.capturedScreenshot}
</div>
<div className="rounded-lg border border-border/50 overflow-hidden bg-white">
<Image
src={state.imageData}
alt="Captured diagram for validation"
width={400}
height={300}
className="w-full h-auto max-h-48 object-contain"
unoptimized
/>
</div>
</div>
)}
{/* Issues */}
{state.result && state.result.issues.length > 0 && (
<div>
<div className="text-xs font-medium text-foreground/70 mb-2">
{dict.validation.issuesFoundLabel}
</div>
<div className="space-y-2">
{state.result.issues.map((issue, index) => (
<div
key={index}
className={`text-xs px-3 py-2 rounded-lg border ${
issue.severity === "critical"
? "bg-red-50 border-red-200 text-red-700 dark:bg-red-950 dark:border-red-800 dark:text-red-300"
: "bg-yellow-50 border-yellow-200 text-yellow-700 dark:bg-yellow-950 dark:border-yellow-800 dark:text-yellow-300"
}`}
>
<span className="font-medium uppercase text-[10px] mr-2">
[{issue.type}]
</span>
{issue.description}
</div>
))}
</div>
</div>
)}
{/* Suggestions */}
{state.result && state.result.suggestions.length > 0 && (
<div>
<div className="text-xs font-medium text-foreground/70 mb-2">
{dict.validation.suggestions}
</div>
<ul className="text-xs text-foreground/60 space-y-1 list-disc list-inside">
{state.result.suggestions.map(
(suggestion, index) => (
<li key={index}>{suggestion}</li>
),
)}
</ul>
</div>
)}
{/* Valid result message */}
{state.result?.valid &&
state.result.issues.length === 0 && (
<div className="text-xs text-green-600 dark:text-green-400">
{dict.validation.passedValidation}
</div>
)}
</div>
)}
{/* Improve with Suggestions button - shown when validation passed but has suggestions */}
{showImproveButton && (
<div className="px-4 py-3 border-t border-border/40 bg-muted/10">
{hasRequestedImprovement ? (
<div className="flex items-center justify-center gap-2 px-4 py-2 text-sm font-medium text-green-600 dark:text-green-400">
<Check className="h-4 w-4" aria-hidden="true" />
{dict.validation.improvementRequested}
</div>
) : (
<>
<button
type="button"
onClick={handleImproveClick}
className="w-full flex items-center justify-center gap-2 px-4 py-2 text-sm font-medium text-primary bg-primary/10 hover:bg-primary/20 rounded-lg transition-colors"
>
<RefreshCw
className="h-4 w-4"
aria-hidden="true"
/>
{dict.validation.improveWithSuggestions}
</button>
<p className="text-xs text-muted-foreground mt-2 text-center">
{dict.validation.regenerateWithFeedback}
</p>
</>
)}
</div>
)}
{/* Error details when expanded */}
{isExpanded && state.error && (
<div className="px-4 py-3 border-t border-border/40 bg-red-50/50">
<div className="text-xs text-red-600">{state.error}</div>
</div>
)}
</div>
)
}

View File

@@ -1,16 +0,0 @@
export interface DiagramOperation {
operation: "update" | "add" | "delete"
cell_id: string
new_xml?: string
}
export interface ToolPartLike {
type: string
toolCallId: string
state?: string
input?: {
xml?: string
operations?: DiagramOperation[]
} & Record<string, unknown>
output?: string
}

View File

@@ -1,7 +1,6 @@
"use client"
import { useEffect, useRef, useState } from "react"
import { useDictionary } from "@/hooks/use-dictionary"
import { wrapWithMxFile } from "@/lib/utils"
// Dev XML presets for streaming simulator
@@ -143,7 +142,6 @@ export function DevXmlSimulator({
onDisplayChart,
onShowQuotaToast,
}: DevXmlSimulatorProps) {
const dict = useDictionary()
const [devXml, setDevXml] = useState("")
const [isSimulating, setIsSimulating] = useState(false)
const [devIntervalMs, setDevIntervalMs] = useState(1)
@@ -180,7 +178,7 @@ export function DevXmlSimulator({
parts: [
{
type: "text" as const,
text: dict.dev.simulatingMessage,
text: "[Dev] Simulating XML streaming",
},
],
}
@@ -230,7 +228,7 @@ export function DevXmlSimulator({
const lastMsg = updated[updated.length - 1] as any
if (lastMsg?.role === "assistant" && lastMsg.parts?.[0]) {
lastMsg.parts[0].state = "output-available"
lastMsg.parts[0].output = dict.dev.successMessage
lastMsg.parts[0].output = "Successfully displayed the diagram."
lastMsg.parts[0].input = { xml }
}
return updated
@@ -247,12 +245,12 @@ export function DevXmlSimulator({
<div className="border-t border-dashed border-orange-500/50 px-4 py-2 bg-orange-50/50 dark:bg-orange-950/30">
<details>
<summary className="text-xs text-orange-600 dark:text-orange-400 cursor-pointer font-medium">
{dict.dev.title}
Dev: XML Streaming Simulator
</summary>
<div className="mt-2 space-y-2">
<div className="flex items-center gap-2">
<label className="text-xs text-muted-foreground whitespace-nowrap">
{dict.dev.preset}
Preset:
</label>
<select
onChange={(e) => {
@@ -264,7 +262,7 @@ export function DevXmlSimulator({
defaultValue=""
>
<option value="" disabled>
{dict.dev.selectPreset}
Select a preset...
</option>
{Object.keys(DEV_XML_PRESETS).map((name) => (
<option key={name} value={name}>
@@ -277,19 +275,19 @@ export function DevXmlSimulator({
onClick={() => setDevXml("")}
className="px-2 py-1 text-xs text-muted-foreground hover:text-foreground border rounded"
>
{dict.dev.clear}
Clear
</button>
</div>
<textarea
value={devXml}
onChange={(e) => setDevXml(e.target.value)}
placeholder={dict.dev.placeholder}
placeholder="Paste mxCell XML here or select a preset..."
className="w-full h-24 text-xs font-mono p-2 border rounded bg-background"
/>
<div className="flex items-center gap-4">
<div className="flex items-center gap-2 flex-1">
<label className="text-xs text-muted-foreground whitespace-nowrap">
{dict.dev.interval}
Interval:
</label>
<input
type="range"
@@ -308,7 +306,7 @@ export function DevXmlSimulator({
</div>
<div className="flex items-center gap-2">
<label className="text-xs text-muted-foreground whitespace-nowrap">
{dict.dev.chars}
Chars:
</label>
<input
type="number"
@@ -332,8 +330,8 @@ export function DevXmlSimulator({
className="px-3 py-1 text-xs bg-orange-500 text-white rounded hover:bg-orange-600 disabled:opacity-50 disabled:cursor-not-allowed"
>
{isSimulating
? dict.dev.streaming
: `${dict.dev.simulate} (${devChunkSize} chars/${devIntervalMs}ms)`}
? "Streaming..."
: `Simulate (${devChunkSize} chars/${devIntervalMs}ms)`}
</button>
{isSimulating && (
<button
@@ -343,7 +341,7 @@ export function DevXmlSimulator({
}}
className="px-3 py-1 text-xs bg-red-500 text-white rounded hover:bg-red-600"
>
{dict.dev.stop}
Stop
</button>
)}
{onShowQuotaToast && (
@@ -352,7 +350,7 @@ export function DevXmlSimulator({
onClick={onShowQuotaToast}
className="px-3 py-1 text-xs bg-purple-500 text-white rounded hover:bg-purple-600"
>
{dict.dev.testQuotaToast}
Test Quota Toast
</button>
)}
</div>

View File

@@ -1,8 +1,8 @@
"use client"
import { FileCode, FileText, Link, Loader2, X } from "lucide-react"
import { FileCode, FileText, Loader2, X } from "lucide-react"
import Image from "next/image"
import { useEffect, useRef, useState } from "react"
import Image from "@/components/image-with-basepath"
import { useDictionary } from "@/hooks/use-dictionary"
import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
@@ -20,19 +20,12 @@ interface FilePreviewListProps {
File,
{ text: string; charCount: number; isExtracting: boolean }
>
urlData?: Map<
string,
{ url: string; title: string; charCount: number; isExtracting: boolean }
>
onRemoveUrl?: (url: string) => void
}
export function FilePreviewList({
files,
onRemoveFile,
pdfData = new Map(),
urlData,
onRemoveUrl,
}: FilePreviewListProps) {
const dict = useDictionary()
const [selectedImage, setSelectedImage] = useState<string | null>(null)
@@ -84,7 +77,7 @@ export function FilePreviewList({
}
}, [imageUrls, selectedImage])
if (files.length === 0 && (!urlData || urlData.size === 0)) return null
if (files.length === 0) return null
return (
<>
@@ -159,59 +152,6 @@ export function FilePreviewList({
</div>
)
})}
{/* URL previews */}
{urlData && urlData.size > 0 && (
<div className="flex flex-wrap gap-2">
{Array.from(urlData.entries()).map(
([url, data], index) => (
<div
key={url + index}
className="relative group"
>
<div className="w-20 h-20 border rounded-md overflow-hidden bg-muted">
<div className="flex flex-col items-center justify-center h-full p-1">
{data.isExtracting ? (
<>
<Loader2 className="h-6 w-6 text-blue-500 mb-1 animate-spin" />
<span className="text-[10px] text-muted-foreground">
{dict.file.reading}
</span>
</>
) : (
<>
<Link className="h-6 w-6 text-blue-500 mb-1" />
<span className="text-xs text-center truncate w-full px-1">
{data.title.length > 10
? `${data.title.slice(0, 7)}...`
: data.title}
</span>
{data.charCount && (
<span className="text-[10px] text-green-600 font-medium">
{formatCharCount(
data.charCount,
)}{" "}
{dict.file.chars}
</span>
)}
</>
)}
</div>
</div>
{onRemoveUrl && (
<button
type="button"
onClick={() => onRemoveUrl(url)}
className="absolute -top-2 -right-2 bg-destructive rounded-full p-1 opacity-0 group-hover:opacity-100 transition-opacity"
aria-label={dict.file.removeFile}
>
<X className="h-3 w-3" />
</button>
)}
</div>
),
)}
</div>
)}
</div>
{/* Image Modal/Lightbox */}
{selectedImage && (

View File

@@ -1,7 +1,7 @@
"use client"
import Image from "next/image"
import { useState } from "react"
import Image from "@/components/image-with-basepath"
import { Button } from "@/components/ui/button"
import {
Dialog,
@@ -43,7 +43,7 @@ export function HistoryDialog({
return (
<Dialog open={showHistory} onOpenChange={onToggleHistory}>
<DialogContent className="max-w-3xl max-h-[80vh] overflow-y-auto scrollbar-thin">
<DialogContent className="max-w-3xl max-h-[80vh] overflow-y-auto">
<DialogHeader>
<DialogTitle>{dict.history.title}</DialogTitle>
<DialogDescription>

View File

@@ -1,16 +0,0 @@
import NextImage, { type ImageProps } from "next/image"
import { forwardRef } from "react"
import { getAssetUrl } from "@/lib/base-path"
export default forwardRef<HTMLImageElement, ImageProps>(
function Image(props, ref) {
const src =
typeof props.src === "string" &&
props.src.startsWith("/") &&
!props.src.startsWith("//")
? getAssetUrl(props.src)
: props.src
return <NextImage {...props} src={src} ref={ref} />
},
)

File diff suppressed because it is too large Load Diff

View File

@@ -5,10 +5,8 @@ import {
Bot,
Check,
ChevronDown,
Monitor,
Server,
Settings2,
User,
} from "lucide-react"
import { useEffect, useMemo, useRef, useState } from "react"
import {
@@ -21,27 +19,38 @@ import {
ModelSelectorLogo,
ModelSelectorName,
ModelSelector as ModelSelectorRoot,
ModelSelectorSectionHeader,
ModelSelectorSeparator,
ModelSelectorTrigger,
} from "@/components/ai-elements/model-selector"
import { ButtonWithTooltip } from "@/components/button-with-tooltip"
import { useDictionary } from "@/hooks/use-dictionary"
import {
type FlattenedModel,
PROVIDER_LOGO_MAP,
} from "@/lib/types/model-config"
import type { FlattenedModel } from "@/lib/types/model-config"
import { cn } from "@/lib/utils"
interface ModelSelectorProps {
models: FlattenedModel[]
selectedModelId: string | undefined
onSelect: (modelId: string | undefined) => void
onConfigure?: () => void
onConfigure: () => void
disabled?: boolean
showUnvalidatedModels?: boolean
}
// Map our provider names to models.dev logo names
const PROVIDER_LOGO_MAP: Record<string, string> = {
openai: "openai",
anthropic: "anthropic",
google: "google",
azure: "azure",
bedrock: "amazon-bedrock",
openrouter: "openrouter",
deepseek: "deepseek",
siliconflow: "siliconflow",
sglang: "openai", // SGLang is OpenAI-compatible, use OpenAI logo
gateway: "vercel",
doubao: "bytedance",
}
// Group models by providerLabel (handles duplicate providers)
function groupModelsByProvider(
models: FlattenedModel[],
@@ -51,11 +60,7 @@ function groupModelsByProvider(
{ provider: string; models: FlattenedModel[] }
>()
for (const model of models) {
// For server models, strip "Server · " prefix for cleaner grouping
const key =
model.source === "server"
? model.providerLabel.replace(/^Server · /, "")
: model.providerLabel
const key = model.providerLabel
const existing = groups.get(key)
if (existing) {
existing.models.push(model)
@@ -83,26 +88,10 @@ export function ModelSelector({
}
return models.filter((m) => m.validated === true)
}, [models, showUnvalidatedModels])
// Separate server and user models
const serverModels = useMemo(
() => displayModels.filter((m) => m.source === "server"),
const groupedModels = useMemo(
() => groupModelsByProvider(displayModels),
[displayModels],
)
const userModels = useMemo(
() => displayModels.filter((m) => m.source !== "server"),
[displayModels],
)
// Group each category separately
const groupedServerModels = useMemo(
() => groupModelsByProvider(serverModels),
[serverModels],
)
const groupedUserModels = useMemo(
() => groupModelsByProvider(userModels),
[userModels],
)
// Find selected model for display
const selectedModel = useMemo(
@@ -111,7 +100,9 @@ export function ModelSelector({
)
const handleSelect = (value: string) => {
if (value === "__server_default__") {
if (value === "__configure__") {
onConfigure()
} else if (value === "__server_default__") {
onSelect(undefined)
} else {
onSelect(value)
@@ -158,7 +149,7 @@ export function ModelSelector({
}, [])
return (
<div ref={wrapperRef} className="min-w-0 max-w-48">
<div ref={wrapperRef} className="inline-block">
<ModelSelectorRoot open={open} onOpenChange={setOpen}>
<ModelSelectorTrigger asChild>
<ButtonWithTooltip
@@ -167,7 +158,7 @@ export function ModelSelector({
size="sm"
disabled={disabled}
className={cn(
"h-8 min-w-0 max-w-full shrink overflow-hidden gap-1.5 px-2 transition-[padding,background-color] duration-150 ease-in-out hover:bg-accent",
"hover:bg-accent gap-1.5 h-8 px-2 transition-all duration-150 ease-in-out",
!showLabel && "px-1.5 justify-center",
)}
// accessibility: expose label to screen readers
@@ -176,7 +167,7 @@ export function ModelSelector({
<Bot className="h-4 w-4 flex-shrink-0 text-muted-foreground" />
{/* show/hide visible label based on measured width */}
{showLabel ? (
<span className="min-w-0 truncate text-xs">
<span className="text-xs truncate">
{selectedModel
? selectedModel.modelId
: dict.modelConfig.default}
@@ -197,241 +188,113 @@ export function ModelSelector({
<ModelSelectorInput
placeholder={dict.modelConfig.searchModels}
/>
<div className="flex flex-1 flex-col min-h-0 overflow-hidden">
<div className="flex-1 min-h-0 overflow-hidden">
<ModelSelectorList className="overflow-y-auto scrollbar-thin">
<ModelSelectorEmpty>
{displayModels.length === 0 &&
models.length > 0
? dict.modelConfig.noVerifiedModels
: dict.modelConfig.noModelsFound}
</ModelSelectorEmpty>
<ModelSelectorList className="[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]">
<ModelSelectorEmpty>
{displayModels.length === 0 && models.length > 0
? dict.modelConfig.noVerifiedModels
: dict.modelConfig.noModelsFound}
</ModelSelectorEmpty>
{/* Server Default Option - only show when no server models are configured */}
{serverModels.length === 0 && (
<ModelSelectorGroup
heading={dict.modelConfig.default}
>
{/* Server Default Option */}
<ModelSelectorGroup heading={dict.modelConfig.default}>
<ModelSelectorItem
value="__server_default__"
onSelect={handleSelect}
className={cn(
"cursor-pointer",
!selectedModelId && "bg-accent",
)}
>
<Check
className={cn(
"mr-2 h-4 w-4",
!selectedModelId
? "opacity-100"
: "opacity-0",
)}
/>
<Server className="mr-2 h-4 w-4 text-muted-foreground" />
<ModelSelectorName>
{dict.modelConfig.serverDefault}
</ModelSelectorName>
</ModelSelectorItem>
</ModelSelectorGroup>
{/* Configured Models by Provider */}
{Array.from(groupedModels.entries()).map(
([
providerLabel,
{ provider, models: providerModels },
]) => (
<ModelSelectorGroup
key={providerLabel}
heading={providerLabel}
>
{providerModels.map((model) => (
<ModelSelectorItem
value="__server_default__"
onSelect={handleSelect}
className={cn(
"cursor-pointer",
!selectedModelId && "bg-accent",
)}
key={model.id}
value={model.modelId}
onSelect={() =>
handleSelect(model.id)
}
className="cursor-pointer"
>
<Check
className={cn(
"mr-2 h-4 w-4",
!selectedModelId
selectedModelId === model.id
? "opacity-100"
: "opacity-0",
)}
/>
<Server className="mr-2 h-4 w-4 text-muted-foreground" />
<ModelSelectorLogo
provider={
PROVIDER_LOGO_MAP[
provider
] || provider
}
className="mr-2"
/>
<ModelSelectorName>
{dict.modelConfig.serverDefault}
{model.modelId}
</ModelSelectorName>
{model.validated !== true && (
<span
title={
dict.modelConfig
.unvalidatedModelWarning
}
>
<AlertTriangle className="ml-auto h-3 w-3 text-warning" />
</span>
)}
</ModelSelectorItem>
</ModelSelectorGroup>
)}
))}
</ModelSelectorGroup>
),
)}
{/* Server Models Section */}
{serverModels.length > 0 && (
<>
<ModelSelectorSectionHeader
icon={<Monitor />}
label={
dict.modelConfig.serverModels
}
/>
{Array.from(
groupedServerModels.entries(),
).map(
([
providerLabel,
{
provider,
models: providerModels,
},
]) => (
<ModelSelectorGroup
key={`server-${providerLabel}`}
heading={providerLabel}
className="[&>[cmdk-group-heading]]:pl-4"
>
{providerModels.map(
(model) => (
<ModelSelectorItem
key={model.id}
value={
model.modelId
}
onSelect={() =>
handleSelect(
model.id,
)
}
className="cursor-pointer"
>
<Check
className={cn(
"mr-2 h-4 w-4",
selectedModelId ===
model.id
? "opacity-100"
: "opacity-0",
)}
/>
<ModelSelectorLogo
provider={
PROVIDER_LOGO_MAP[
provider
] ||
provider
}
className="mr-2"
/>
<ModelSelectorName>
{
model.modelId
}
</ModelSelectorName>
{model.isDefault && (
<span
title={
dict
.modelConfig
.serverDefaultModel
}
className="ml-auto text-xs text-muted-foreground"
>
{
dict
.modelConfig
.default
}
</span>
)}
</ModelSelectorItem>
),
)}
</ModelSelectorGroup>
),
)}
</>
)}
{/* User Models Section */}
{userModels.length > 0 && (
<>
{serverModels.length > 0 && (
<ModelSelectorSeparator />
)}
<ModelSelectorSectionHeader
icon={<User />}
label={dict.modelConfig.userModels}
/>
{Array.from(
groupedUserModels.entries(),
).map(
([
providerLabel,
{
provider,
models: providerModels,
},
]) => (
<ModelSelectorGroup
key={`user-${providerLabel}`}
heading={providerLabel}
className="[&>[cmdk-group-heading]]:pl-4"
>
{providerModels.map(
(model) => (
<ModelSelectorItem
key={model.id}
value={
model.modelId
}
onSelect={() =>
handleSelect(
model.id,
)
}
className="cursor-pointer"
>
<Check
className={cn(
"mr-2 h-4 w-4",
selectedModelId ===
model.id
? "opacity-100"
: "opacity-0",
)}
/>
<ModelSelectorLogo
provider={
PROVIDER_LOGO_MAP[
provider
] ||
provider
}
className="mr-2"
/>
<ModelSelectorName>
{
model.modelId
}
</ModelSelectorName>
{model.validated !==
true && (
<span
title={
dict
.modelConfig
.unvalidatedModelWarning
}
>
<AlertTriangle className="ml-auto h-3 w-3 text-warning" />
</span>
)}
</ModelSelectorItem>
),
)}
</ModelSelectorGroup>
),
)}
</>
)}
</ModelSelectorList>
{/* Configure Option */}
<ModelSelectorSeparator />
<ModelSelectorGroup>
<ModelSelectorItem
value="__configure__"
onSelect={handleSelect}
className="cursor-pointer"
>
<Settings2 className="mr-2 h-4 w-4" />
<ModelSelectorName>
{dict.modelConfig.configureModels}
</ModelSelectorName>
</ModelSelectorItem>
</ModelSelectorGroup>
{/* Info text */}
<div className="px-3 py-2 text-xs text-muted-foreground border-t">
{showUnvalidatedModels
? dict.modelConfig.allModelsShown
: dict.modelConfig.onlyVerifiedShown}
</div>
{/* Pinned footer: Configure Models... + info text (z-10 above list shadow) */}
<div className="relative z-10 shrink-0 border-t bg-background">
{onConfigure && (
<div className="px-3 py-2">
<ModelSelectorItem
value="__configure_models__"
onSelect={() => {
onConfigure()
setOpen(false)
}}
className="flex cursor-pointer items-center gap-2 rounded-sm"
>
<Settings2 className="h-4 w-4 shrink-0 text-muted-foreground" />
<ModelSelectorName>
{dict.modelConfig.configureModels}
</ModelSelectorName>
</ModelSelectorItem>
</div>
)}
<div className="px-3 pb-2 text-xs text-muted-foreground">
{showUnvalidatedModels
? dict.modelConfig.allModelsShown
: dict.modelConfig.onlyVerifiedShown}
</div>
</div>
</div>
</ModelSelectorList>
</ModelSelectorContent>
</ModelSelectorRoot>
</div>

View File

@@ -1,264 +0,0 @@
"use client"
import { Key, Link2, Tag } from "lucide-react"
import type { ReactNode } from "react"
import { Input } from "@/components/ui/input"
import { Label } from "@/components/ui/label"
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from "@/components/ui/select"
import { useDictionary } from "@/hooks/use-dictionary"
import { formatMessage } from "@/lib/i18n/utils"
import { PROVIDER_INFO, type ProviderName } from "@/lib/types/model-config"
// Logical secret field. The caller owns the actual input — plaintext for the
// user dialog, write-only masked for the admin panel — supplied via
// renderSecret. That (and the optional test action) are the only genuine
// differences between the two screens; the field structure is shared here.
export type SecretField =
| "apiKey"
| "awsAccessKeyId"
| "awsSecretAccessKey"
| "vertexApiKey"
// AWS regions offered for Bedrock (shared by both screens)
const AWS_REGIONS: Array<[string, string]> = [
["us-east-1", "N. Virginia"],
["us-east-2", "Ohio"],
["us-west-2", "Oregon"],
["eu-west-1", "Ireland"],
["eu-west-2", "London"],
["eu-west-3", "Paris"],
["eu-central-1", "Frankfurt"],
["ap-south-1", "Mumbai"],
["ap-northeast-1", "Tokyo"],
["ap-northeast-2", "Seoul"],
["ap-southeast-1", "Singapore"],
["ap-southeast-2", "Sydney"],
["sa-east-1", "São Paulo"],
]
interface ProviderCredentialsFieldsProps {
provider: ProviderName
// Plain (non-secret) field values — secrets are owned by renderSecret
name?: string
baseUrl?: string
awsRegion?: string
disabled?: boolean
// Update a plain text field
onChange: (field: "name" | "baseUrl" | "awsRegion", value: string) => void
// Render the control for a secret field. The caller may include trailing
// UI (e.g. the user dialog's inline Test button + validation error); the
// shared component only supplies the label above it.
renderSecret: (opts: { field: SecretField; id: string }) => ReactNode
// Extra content after the fields — used for the Bedrock test row and the
// EdgeOne test button, which aren't beside a credential input.
footer?: ReactNode
}
// Display name + per-provider credential inputs, shared by the user
// ModelConfigDialog and the admin Models panel.
export function ProviderCredentialsFields({
provider,
name,
baseUrl,
awsRegion,
disabled,
onChange,
renderSecret,
footer,
}: ProviderCredentialsFieldsProps) {
const dict = useDictionary()
const info = PROVIDER_INFO[provider]
const baseUrlLabel = formatMessage(dict.modelConfig.baseUrlWithExample, {
example: info.defaultBaseUrl || "https://api.example.com/v1",
})
// EdgeOne needs no credentials — the caller supplies just a test button
if (provider === "edgeone") {
return <div className="space-y-5">{footer}</div>
}
return (
<div className="space-y-5">
{/* Display Name */}
<div className="space-y-2">
<Label
htmlFor="provider-name"
className="text-xs font-medium flex items-center gap-1.5"
>
<Tag className="h-3.5 w-3.5 text-muted-foreground" />
{dict.modelConfig.displayName}
</Label>
<Input
id="provider-name"
value={name ?? ""}
disabled={disabled}
onChange={(e) => onChange("name", e.target.value)}
placeholder={info.label}
className="h-9"
/>
</div>
{provider === "bedrock" ? (
<>
{/* AWS Access Key ID */}
<div className="space-y-2">
<Label
htmlFor="aws-access-key-id"
className="text-xs font-medium flex items-center gap-1.5"
>
<Key className="h-3.5 w-3.5 text-muted-foreground" />
{dict.modelConfig.awsAccessKeyId}
</Label>
{renderSecret({
field: "awsAccessKeyId",
id: "aws-access-key-id",
})}
</div>
{/* AWS Secret Access Key */}
<div className="space-y-2">
<Label
htmlFor="aws-secret-access-key"
className="text-xs font-medium flex items-center gap-1.5"
>
<Key className="h-3.5 w-3.5 text-muted-foreground" />
{dict.modelConfig.awsSecretAccessKey}
</Label>
{renderSecret({
field: "awsSecretAccessKey",
id: "aws-secret-access-key",
})}
</div>
{/* AWS Region */}
<div className="space-y-2">
<Label
htmlFor="aws-region"
className="text-xs font-medium flex items-center gap-1.5"
>
<Link2 className="h-3.5 w-3.5 text-muted-foreground" />
{dict.modelConfig.awsRegion}
</Label>
<Select
value={awsRegion || ""}
disabled={disabled}
onValueChange={(v) => onChange("awsRegion", v)}
>
<SelectTrigger
id="aws-region"
className="h-9 font-mono text-xs hover:bg-accent"
>
<SelectValue
placeholder={dict.modelConfig.selectRegion}
/>
</SelectTrigger>
<SelectContent className="max-h-64">
{AWS_REGIONS.map(([region, label]) => (
<SelectItem key={region} value={region}>
{region} ({label})
</SelectItem>
))}
</SelectContent>
</Select>
</div>
</>
) : provider === "vertexai" ? (
<>
{/* Vertex AI API Key (Express Mode) */}
<div className="space-y-2">
<Label
htmlFor="vertex-api-key"
className="text-xs font-medium flex items-center gap-1.5"
>
<Key className="h-3.5 w-3.5 text-muted-foreground" />
{dict.modelConfig.apiKey}
</Label>
{renderSecret({
field: "vertexApiKey",
id: "vertex-api-key",
})}
</div>
{/* Base URL (optional) */}
<div className="space-y-2">
<Label
htmlFor="vertex-base-url"
className="text-xs font-medium flex items-center gap-1.5"
>
<Link2 className="h-3.5 w-3.5 text-muted-foreground" />
{baseUrlLabel}
</Label>
<Input
id="vertex-base-url"
value={baseUrl ?? ""}
disabled={disabled}
onChange={(e) =>
onChange("baseUrl", e.target.value)
}
placeholder={dict.modelConfig.customEndpoint}
className="h-9 font-mono text-xs"
/>
</div>
</>
) : (
<>
{/* API Key */}
<div className="space-y-2">
<Label
htmlFor="api-key"
className="text-xs font-medium flex items-center gap-1.5"
>
<Key className="h-3.5 w-3.5 text-muted-foreground" />
{dict.modelConfig.apiKey}
{provider === "ollama" &&
` ${dict.modelConfig.optional}`}
</Label>
{renderSecret({ field: "apiKey", id: "api-key" })}
</div>
{/* Base URL */}
<div className="space-y-2">
<Label
htmlFor="base-url"
className="text-xs font-medium flex items-center gap-1.5"
>
<Link2 className="h-3.5 w-3.5 text-muted-foreground" />
{baseUrlLabel}
</Label>
<Input
id="base-url"
value={baseUrl ?? ""}
disabled={disabled}
onChange={(e) =>
onChange("baseUrl", e.target.value)
}
placeholder={
info.defaultBaseUrl ||
dict.modelConfig.customEndpoint
}
className="h-9 rounded-xl font-mono text-xs"
/>
{provider === "minimax" && (
<p className="text-xs text-muted-foreground">
{dict.modelConfig.minimaxBaseUrlHint}
</p>
)}
{provider === "mimo" && (
<p className="text-xs text-muted-foreground">
{dict.modelConfig.mimoBaseUrlHint}
</p>
)}
</div>
</>
)}
{footer}
</div>
)
}

View File

@@ -1,36 +0,0 @@
import { Cloud, Server, Sparkles } from "lucide-react"
import { PROVIDER_LOGO_MAP, type ProviderName } from "@/lib/types/model-config"
import { cn } from "@/lib/utils"
// Provider logo from models.dev, with Lucide fallbacks for providers
// that have no logo there
export function ProviderLogo({
provider,
className,
}: {
provider: ProviderName
className?: string
}) {
if (provider === "bedrock") {
return <Cloud className={cn("size-4", className)} />
}
if (provider === "sglang") {
return <Server className={cn("size-4", className)} />
}
if (provider === "doubao") {
return <Sparkles className={cn("size-4", className)} />
}
const logoName = PROVIDER_LOGO_MAP[provider] || provider
return (
// biome-ignore lint/performance/noImgElement: External URL from models.dev
<img
alt=""
aria-hidden="true"
className={cn("size-4 dark:invert", className)}
height={16}
src={`https://models.dev/logos/${logoName}.svg`}
width={16}
/>
)
}

View File

@@ -23,22 +23,9 @@ export function QuotaLimitToast({
}: QuotaLimitToastProps) {
const dict = useDictionary()
const isTokenLimit = type === "token"
const isSelfHosted = process.env.NEXT_PUBLIC_SELFHOSTED === "true"
const formatNumber = (n: number) =>
n >= 1000 ? `${(n / 1000).toFixed(1)}k` : n.toString()
const quotaMessage = isTokenLimit
? isSelfHosted
? (dict.quota.messageTokenSelfHosted ?? dict.quota.messageToken)
: dict.quota.messageToken
: isSelfHosted
? (dict.quota.messageApiSelfHosted ?? dict.quota.messageApi)
: dict.quota.messageApi
const tipHtml = isSelfHosted
? (dict.quota.tipSelfHosted ?? dict.quota.tip)
: dict.quota.tip
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === "Escape") {
e.preventDefault()
@@ -84,24 +71,19 @@ export function QuotaLimitToast({
</div>
{/* Message */}
<div className="text-sm text-muted-foreground leading-relaxed mb-4 space-y-2">
<p>{quotaMessage}</p>
{!isSelfHosted && (
<p
dangerouslySetInnerHTML={{
__html: formatMessage(
dict.quota.doubaoSponsorship,
{
link: "https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio",
},
),
}}
/>
)}
<p>
{isTokenLimit
? dict.quota.messageToken
: dict.quota.messageApi}
</p>
<p
dangerouslySetInnerHTML={{
__html: tipHtml,
__html: formatMessage(dict.quota.doubaoSponsorship, {
link: "https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project",
}),
}}
/>
<p dangerouslySetInnerHTML={{ __html: dict.quota.tip }} />
<p>{dict.quota.reset}</p>
</div>{" "}
{/* Action buttons */}
@@ -119,28 +101,24 @@ export function QuotaLimitToast({
{dict.quota.configModel}
</button>
)}
{!isSelfHosted && (
<>
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg border border-border text-foreground hover:bg-muted transition-colors"
>
<FaGithub className="w-3.5 h-3.5" />
{dict.quota.selfHost}
</a>
<a
href="https://github.com/sponsors/DayuanJiang"
target="_blank"
rel="noopener noreferrer"
className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg border border-border text-foreground hover:bg-muted transition-colors"
>
<Coffee className="w-3.5 h-3.5" />
{dict.quota.sponsor}
</a>
</>
)}
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg border border-border text-foreground hover:bg-muted transition-colors"
>
<FaGithub className="w-3.5 h-3.5" />
{dict.quota.selfHost}
</a>
<a
href="https://github.com/sponsors/DayuanJiang"
target="_blank"
rel="noopener noreferrer"
className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg border border-border text-foreground hover:bg-muted transition-colors"
>
<Coffee className="w-3.5 h-3.5" />
{dict.quota.sponsor}
</a>
</div>
</div>
)

View File

@@ -20,7 +20,7 @@ import {
} from "@/components/ui/select"
import { useDictionary } from "@/hooks/use-dictionary"
export type ExportFormat = "drawio" | "png" | "svg" | "xmlsvg"
export type ExportFormat = "drawio" | "png" | "svg"
interface SaveDialogProps {
open: boolean
@@ -74,11 +74,6 @@ export function SaveDialog({
label: dict.save.formats.svg,
extension: ".svg",
},
{
value: "xmlsvg" as const,
label: dict.save.formats.xmlsvg,
extension: ".drawio.svg",
},
]
const currentFormat = FORMAT_OPTIONS.find((f) => f.value === format)

View File

@@ -1,9 +1,8 @@
"use client"
import { ChevronRight, Github, Info, Moon, Sun, Tag } from "lucide-react"
import { Github, Info, Moon, Sun, Tag } from "lucide-react"
import { usePathname, useRouter, useSearchParams } from "next/navigation"
import { Suspense, useCallback, useEffect, useState } from "react"
import { toast } from "sonner"
import { Suspense, useEffect, useState } from "react"
import { Button } from "@/components/ui/button"
import {
Dialog,
@@ -22,12 +21,9 @@ import {
SelectValue,
} from "@/components/ui/select"
import { Switch } from "@/components/ui/switch"
import { Textarea } from "@/components/ui/textarea"
import { useDictionary } from "@/hooks/use-dictionary"
import { getApiEndpoint } from "@/lib/base-path"
import type { DrawioTheme } from "@/lib/drawio-themes"
import { i18n, type Locale } from "@/lib/i18n/config"
import { STORAGE_KEYS } from "@/lib/storage"
// Reusable setting item component for consistent layout
function SettingItem({
@@ -58,28 +54,22 @@ const LANGUAGE_LABELS: Record<Locale, string> = {
en: "English",
zh: "中文",
ja: "日本語",
"zh-Hant": "繁體中文",
}
interface SettingsDialogProps {
open: boolean
onOpenChange: (open: boolean) => void
drawioUi: DrawioTheme
onDrawioUiChange: (theme: DrawioTheme) => void
onCloseProtectionChange?: (enabled: boolean) => void
drawioUi: "min" | "sketch"
onToggleDrawioUi: () => void
darkMode: boolean
onToggleDarkMode: () => void
minimalStyle?: boolean
onMinimalStyleChange?: (value: boolean) => void
vlmValidationEnabled?: boolean
onVlmValidationChange?: (value: boolean) => void
onOpenModelConfig?: () => void
customSystemMessage?: string
onCustomSystemMessageChange?: (value: string) => void
maxOutputTokens?: string
onMaxOutputTokensChange?: (value: string) => void
}
export const STORAGE_ACCESS_CODE_KEY = "next-ai-draw-io-access-code"
export const STORAGE_CLOSE_PROTECTION_KEY = "next-ai-draw-io-close-protection"
const STORAGE_ACCESS_CODE_REQUIRED_KEY = "next-ai-draw-io-access-code-required"
function getStoredAccessCodeRequired(): boolean | null {
@@ -92,58 +82,30 @@ function getStoredAccessCodeRequired(): boolean | null {
function SettingsContent({
open,
onOpenChange,
onCloseProtectionChange,
drawioUi,
onDrawioUiChange,
onToggleDrawioUi,
darkMode,
onToggleDarkMode,
minimalStyle = false,
onMinimalStyleChange = () => {},
vlmValidationEnabled = false,
onVlmValidationChange = () => {},
onOpenModelConfig,
customSystemMessage = "",
onCustomSystemMessageChange = () => {},
maxOutputTokens = "",
onMaxOutputTokensChange = () => {},
}: SettingsDialogProps) {
const dict = useDictionary()
const router = useRouter()
const pathname = usePathname() || "/"
const search = useSearchParams()
const [accessCode, setAccessCode] = useState("")
const [closeProtection, setCloseProtection] = useState(true)
const [isVerifying, setIsVerifying] = useState(false)
const [error, setError] = useState("")
const [accessCodeRequired, setAccessCodeRequired] = useState(
() => getStoredAccessCodeRequired() ?? false,
)
const [currentLang, setCurrentLang] = useState("en")
const [sendShortcut, setSendShortcut] = useState("ctrl-enter")
// Panel visibility state
const [showRecentChats, setShowRecentChats] = useState(true)
const [showMyTemplates, setShowMyTemplates] = useState(true)
const [showQuickExamples, setShowQuickExamples] = useState(true)
const handlePanelToggle = useCallback(
(key: string, value: boolean, setter: (v: boolean) => void) => {
setter(value)
localStorage.setItem(key, String(value))
window.dispatchEvent(new CustomEvent("panelVisibilityChange"))
},
[],
)
// Proxy settings state (Electron only)
const [httpProxy, setHttpProxy] = useState("")
const [httpsProxy, setHttpsProxy] = useState("")
const [isApplyingProxy, setIsApplyingProxy] = useState(false)
useEffect(() => {
// Re-fetch config whenever the dialog opens to ensure we always show
// the access code input if the server requires it. This fixes the case
// where a stale localStorage cache (from before ACCESS_CODE_LIST was
// configured) would hide the access code input.
if (!open) return
// Only fetch if not cached in localStorage
if (getStoredAccessCodeRequired() !== null) return
fetch(getApiEndpoint("/api/config"))
.then((res) => {
@@ -159,9 +121,10 @@ function SettingsContent({
setAccessCodeRequired(required)
})
.catch(() => {
// Keep existing cached value on error
// Don't cache on error - allow retry on next mount
setAccessCodeRequired(false)
})
}, [open])
}, [])
// Detect current language from pathname
useEffect(() => {
@@ -180,31 +143,13 @@ function SettingsContent({
localStorage.getItem(STORAGE_ACCESS_CODE_KEY) || ""
setAccessCode(storedCode)
const storedSendShortcut = localStorage.getItem(
STORAGE_KEYS.sendShortcut,
)
setSendShortcut(storedSendShortcut || "ctrl-enter")
setShowRecentChats(
localStorage.getItem(STORAGE_KEYS.showRecentChats) !== "false",
)
setShowMyTemplates(
localStorage.getItem(STORAGE_KEYS.showMyTemplates) !== "false",
)
setShowQuickExamples(
localStorage.getItem(STORAGE_KEYS.showQuickExamples) !==
"false",
const storedCloseProtection = localStorage.getItem(
STORAGE_CLOSE_PROTECTION_KEY,
)
// Default to true if not set
setCloseProtection(storedCloseProtection !== "false")
setError("")
// Load proxy settings (Electron only)
if (window.electronAPI?.getProxy) {
window.electronAPI.getProxy().then((config) => {
setHttpProxy(config.httpProxy || "")
setHttpsProxy(config.httpsProxy || "")
})
}
}
}, [open])
@@ -212,13 +157,6 @@ function SettingsContent({
// Save locale to localStorage for persistence across restarts
localStorage.setItem("next-ai-draw-io-locale", lang)
// Notify Electron main process to update its menu language
if (window.electronAPI?.setUserLocale) {
window.electronAPI.setUserLocale(lang).catch((error) => {
console.error("Failed to sync locale with Electron:", error)
})
}
const parts = pathname.split("/")
if (parts.length > 1 && i18n.locales.includes(parts[1] as Locale)) {
parts[1] = lang
@@ -270,48 +208,8 @@ function SettingsContent({
}
}
const handleApplyProxy = async () => {
if (!window.electronAPI?.setProxy) return
// Validate proxy URLs (must start with http:// or https://)
const validateProxyUrl = (url: string): boolean => {
if (!url) return true // Empty is OK
return url.startsWith("http://") || url.startsWith("https://")
}
const trimmedHttp = httpProxy.trim()
const trimmedHttps = httpsProxy.trim()
if (trimmedHttp && !validateProxyUrl(trimmedHttp)) {
toast.error("HTTP Proxy must start with http:// or https://")
return
}
if (trimmedHttps && !validateProxyUrl(trimmedHttps)) {
toast.error("HTTPS Proxy must start with http:// or https://")
return
}
setIsApplyingProxy(true)
try {
const result = await window.electronAPI.setProxy({
httpProxy: trimmedHttp || undefined,
httpsProxy: trimmedHttps || undefined,
})
if (result.success) {
toast.success(dict.settings.proxyApplied)
} else {
toast.error(result.error || "Failed to apply proxy settings")
}
} catch {
toast.error("Failed to apply proxy settings")
} finally {
setIsApplyingProxy(false)
}
}
return (
<DialogContent className="sm:max-w-lg p-0 gap-0 max-h-[90vh] flex flex-col overflow-hidden">
<DialogContent className="sm:max-w-lg p-0 gap-0">
{/* Header */}
<DialogHeader className="px-6 pt-6 pb-4">
<DialogTitle>{dict.settings.title}</DialogTitle>
@@ -321,29 +219,8 @@ function SettingsContent({
</DialogHeader>
{/* Content */}
<div className="px-6 pb-6 overflow-y-auto flex-1 scrollbar-thin">
<div className="px-6 pb-6">
<div className="divide-y divide-border-subtle">
{/* API Keys & Models */}
{onOpenModelConfig && (
<SettingItem
label={dict.settings.apiKeysModels}
description={dict.settings.apiKeysModelsDescription}
>
<Button
variant="ghost"
size="sm"
className="h-9 w-9 p-0"
onClick={() => {
onOpenChange(false)
onOpenModelConfig()
}}
aria-label={dict.settings.apiKeysModels}
>
<ChevronRight className="h-4 w-4" />
</Button>
</SettingItem>
)}
{/* Access Code (conditional) */}
{accessCodeRequired && (
<div className="py-4 first:pt-0 space-y-3">
@@ -437,40 +314,42 @@ function SettingsContent({
{/* Draw.io Style */}
<SettingItem
label={dict.settings.drawioStyle}
description={dict.settings.drawioStyleDescription}
description={`${dict.settings.drawioStyleDescription} ${
drawioUi === "min"
? dict.settings.minimal
: dict.settings.sketch
}`}
>
<Select
value={drawioUi}
onValueChange={(v) =>
onDrawioUiChange(v as DrawioTheme)
}
<Button
id="drawio-ui"
variant="outline"
onClick={onToggleDrawioUi}
className="h-9 w-[120px] rounded-xl border-border-subtle hover:bg-interactive-hover font-normal"
>
<SelectTrigger
id="drawio-ui-select"
aria-label={dict.settings.drawioStyle}
className="w-[120px] h-9 rounded-xl"
>
<SelectValue />
</SelectTrigger>
<SelectContent>
<SelectItem value="kennedy">
{dict.settings.themeDefault}
</SelectItem>
<SelectItem value="atlas">Atlas</SelectItem>
<SelectItem value="dark">
{dict.settings.themeDark}
</SelectItem>
<SelectItem value="min">
{dict.settings.themeMinimal}
</SelectItem>
<SelectItem value="sketch">
{dict.settings.themeSketch}
</SelectItem>
<SelectItem value="simple">
{dict.settings.themeSimple}
</SelectItem>
</SelectContent>
</Select>
{dict.settings.switchTo}{" "}
{drawioUi === "min"
? dict.settings.sketch
: dict.settings.minimal}
</Button>
</SettingItem>
{/* Close Protection */}
<SettingItem
label={dict.settings.closeProtection}
description={dict.settings.closeProtectionDescription}
>
<Switch
id="close-protection"
checked={closeProtection}
onCheckedChange={(checked) => {
setCloseProtection(checked)
localStorage.setItem(
STORAGE_CLOSE_PROTECTION_KEY,
checked.toString(),
)
onCloseProtectionChange?.(checked)
}}
/>
</SettingItem>
{/* Diagram Style */}
@@ -491,212 +370,6 @@ function SettingsContent({
</span>
</div>
</SettingItem>
{/* Panel Visibility */}
<SettingItem
label={dict.settings.panelVisibility}
description={dict.settings.panelVisibilityDescription}
>
<div className="flex flex-col gap-2">
<label className="flex items-center gap-2 cursor-pointer">
<Switch
id="show-recent-chats"
checked={showRecentChats}
onCheckedChange={(v) =>
handlePanelToggle(
STORAGE_KEYS.showRecentChats,
v,
setShowRecentChats,
)
}
/>
<span className="text-xs text-muted-foreground">
{dict.settings.showRecentChats}
</span>
</label>
<label className="flex items-center gap-2 cursor-pointer">
<Switch
id="show-my-templates"
checked={showMyTemplates}
onCheckedChange={(v) =>
handlePanelToggle(
STORAGE_KEYS.showMyTemplates,
v,
setShowMyTemplates,
)
}
/>
<span className="text-xs text-muted-foreground">
{dict.settings.showMyTemplates}
</span>
</label>
<label className="flex items-center gap-2 cursor-pointer">
<Switch
id="show-quick-examples"
checked={showQuickExamples}
onCheckedChange={(v) =>
handlePanelToggle(
STORAGE_KEYS.showQuickExamples,
v,
setShowQuickExamples,
)
}
/>
<span className="text-xs text-muted-foreground">
{dict.settings.showQuickExamples}
</span>
</label>
</div>
</SettingItem>
{/* VLM Diagram Validation */}
<SettingItem
label={dict.settings.diagramValidation}
description={dict.settings.diagramValidationDescription}
>
<div className="flex items-center gap-2">
<Switch
id="vlm-validation"
checked={vlmValidationEnabled}
onCheckedChange={onVlmValidationChange}
/>
<span className="text-sm text-muted-foreground">
{vlmValidationEnabled
? dict.settings.enabled
: dict.settings.disabled}
</span>
</div>
</SettingItem>
{/* Custom System Message */}
<div className="py-4 space-y-3">
<div className="space-y-0.5">
<Label
htmlFor="custom-system-message"
className="text-sm font-medium"
>
{dict.settings.customSystemMessage}
</Label>
<p className="text-xs text-muted-foreground">
{dict.settings.customSystemMessageDescription}
</p>
</div>
<Textarea
id="custom-system-message"
value={customSystemMessage}
onChange={(e) =>
onCustomSystemMessageChange(e.target.value)
}
placeholder={
dict.settings.customSystemMessagePlaceholder
}
className="min-h-[80px] max-h-[160px] text-sm"
maxLength={5000}
/>
</div>
{/* Max Output Tokens */}
<SettingItem
label={dict.settings.maxOutputTokens}
description={dict.settings.maxOutputTokensDescription}
>
<Input
id="max-output-tokens"
type="text"
inputMode="numeric"
value={maxOutputTokens}
onChange={(e) =>
onMaxOutputTokensChange(e.target.value)
}
placeholder="64000"
className="h-9 w-28 text-sm"
/>
</SettingItem>
{/* Send Shortcut */}
<SettingItem
label={dict.settings.sendShortcut}
description={dict.settings.sendShortcutDescription}
>
<Select
value={sendShortcut}
onValueChange={(value) => {
setSendShortcut(value)
localStorage.setItem(
STORAGE_KEYS.sendShortcut,
value,
)
window.dispatchEvent(
new CustomEvent("sendShortcutChange", {
detail: value,
}),
)
}}
>
<SelectTrigger
id="send-shortcut-select"
className="w-auto h-9 rounded-xl"
>
<SelectValue />
</SelectTrigger>
<SelectContent>
<SelectItem value="enter">
{dict.settings.enterToSend}
</SelectItem>
<SelectItem value="ctrl-enter">
{dict.settings.ctrlEnterToSend}
</SelectItem>
</SelectContent>
</Select>
</SettingItem>
{/* Proxy Settings - Electron only */}
{typeof window !== "undefined" &&
window.electronAPI?.isElectron && (
<div className="py-4 space-y-3">
<div className="space-y-0.5">
<Label className="text-sm font-medium">
{dict.settings.proxy}
</Label>
<p className="text-xs text-muted-foreground">
{dict.settings.proxyDescription}
</p>
</div>
<div className="space-y-2">
<Input
id="http-proxy"
type="text"
value={httpProxy}
onChange={(e) =>
setHttpProxy(e.target.value)
}
placeholder={`${dict.settings.httpProxy}: http://proxy:8080`}
className="h-9"
/>
<Input
id="https-proxy"
type="text"
value={httpsProxy}
onChange={(e) =>
setHttpsProxy(e.target.value)
}
placeholder={`${dict.settings.httpsProxy}: http://proxy:8080`}
className="h-9"
/>
</div>
<Button
onClick={handleApplyProxy}
disabled={isApplyingProxy}
className="h-9 px-4 rounded-xl w-full"
>
{isApplyingProxy
? "..."
: dict.settings.applyProxy}
</Button>
</div>
)}
</div>
</div>
@@ -722,13 +395,13 @@ function SettingsContent({
<>
<span className="text-muted-foreground">·</span>
<a
href={`/${currentLang}/about${currentLang === "zh" ? "/cn" : currentLang === "ja" ? "/ja" : ""}`}
href="/about"
target="_blank"
rel="noopener noreferrer"
className="text-xs text-muted-foreground hover:text-foreground transition-colors flex items-center gap-1"
>
<Info className="h-3 w-3" />
{dict.nav.about}
About
</a>
</>
)}

92
components/ui/card.tsx Normal file
View File

@@ -0,0 +1,92 @@
import * as React from "react"
import { cn } from "@/lib/utils"
function Card({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card"
className={cn(
"bg-card text-card-foreground flex flex-col gap-6 rounded-xl border py-6 shadow-sm",
className
)}
{...props}
/>
)
}
function CardHeader({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-header"
className={cn(
"@container/card-header grid auto-rows-min grid-rows-[auto_auto] items-start gap-1.5 px-6 has-[data-slot=card-action]:grid-cols-[1fr_auto] [.border-b]:pb-6",
className
)}
{...props}
/>
)
}
function CardTitle({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-title"
className={cn("leading-none font-semibold", className)}
{...props}
/>
)
}
function CardDescription({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-description"
className={cn("text-muted-foreground text-sm", className)}
{...props}
/>
)
}
function CardAction({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-action"
className={cn(
"col-start-2 row-span-2 row-start-1 self-start justify-self-end",
className
)}
{...props}
/>
)
}
function CardContent({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-content"
className={cn("px-6", className)}
{...props}
/>
)
}
function CardFooter({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-footer"
className={cn("flex items-center px-6 [.border-t]:pt-6", className)}
{...props}
/>
)
}
export {
Card,
CardHeader,
CardFooter,
CardTitle,
CardAction,
CardDescription,
CardContent,
}

View File

@@ -77,13 +77,12 @@ function CommandInput({
)
}
const CommandList = React.forwardRef<
React.ElementRef<typeof CommandPrimitive.List>,
React.ComponentPropsWithoutRef<typeof CommandPrimitive.List>
>(({ className, ...props }, ref) => {
function CommandList({
className,
...props
}: React.ComponentProps<typeof CommandPrimitive.List>) {
return (
<CommandPrimitive.List
ref={ref}
data-slot="command-list"
className={cn(
"max-h-[300px] scroll-py-1 overflow-x-hidden overflow-y-auto",
@@ -92,8 +91,7 @@ const CommandList = React.forwardRef<
{...props}
/>
)
})
CommandList.displayName = CommandPrimitive.List.displayName ?? "CommandList"
}
function CommandEmpty({
...props

View File

@@ -1,116 +0,0 @@
"use client"
import { Link, Loader2 } from "lucide-react"
import { useState } from "react"
import { Button } from "@/components/ui/button"
import {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { Input } from "@/components/ui/input"
import { useDictionary } from "@/hooks/use-dictionary"
interface UrlInputDialogProps {
open: boolean
onOpenChange: (open: boolean) => void
onSubmit: (url: string) => void
isExtracting: boolean
}
export function UrlInputDialog({
open,
onOpenChange,
onSubmit,
isExtracting,
}: UrlInputDialogProps) {
const dict = useDictionary()
const [url, setUrl] = useState("")
const [error, setError] = useState("")
const handleSubmit = () => {
setError("")
if (!url.trim()) {
setError(dict.url.enterUrl)
return
}
try {
new URL(url)
} catch {
setError(dict.url.invalidFormat)
return
}
onSubmit(url.trim())
}
const handleKeyDown = (e: React.KeyboardEvent<HTMLInputElement>) => {
if (e.key === "Enter" && !isExtracting) {
e.preventDefault()
handleSubmit()
}
}
return (
<Dialog open={open} onOpenChange={onOpenChange}>
<DialogContent className="sm:max-w-md">
<DialogHeader>
<DialogTitle>{dict.url.title}</DialogTitle>
<DialogDescription>
{dict.url.description}
</DialogDescription>
</DialogHeader>
<div className="space-y-4">
<div className="space-y-2">
<Input
value={url}
onChange={(e) => {
setUrl(e.target.value)
setError("")
}}
onKeyDown={handleKeyDown}
placeholder="https://example.com/article"
disabled={isExtracting}
autoFocus
/>
{error && (
<p className="text-sm text-destructive">{error}</p>
)}
</div>
</div>
<DialogFooter>
<Button
variant="outline"
onClick={() => onOpenChange(false)}
disabled={isExtracting}
>
{dict.url.Cancel}
</Button>
<Button
onClick={handleSubmit}
disabled={isExtracting || !url.trim()}
>
{isExtracting ? (
<>
<Loader2 className="mr-2 h-4 w-4 animate-spin" />
{dict.url.Extracting}
</>
) : (
<>
<Link className="mr-2 h-4 w-4" />
{dict.url.extract}
</>
)}
</Button>
</DialogFooter>
</DialogContent>
</Dialog>
)
}

View File

@@ -2,37 +2,29 @@
import type React from "react"
import { createContext, useContext, useEffect, useRef, useState } from "react"
import type { DrawIoEmbedRef, EventExport } from "react-drawio"
import { toast } from "sonner"
import type { DrawIoEmbedRef } from "react-drawio"
import { STORAGE_DIAGRAM_XML_KEY } from "@/components/chat-panel"
import type { ExportFormat } from "@/components/save-dialog"
import { getApiEndpoint } from "@/lib/base-path"
import {
extractDiagramXML,
isRealDiagram,
validateAndFixXml,
} from "../lib/utils"
import { extractDiagramXML, validateAndFixXml } from "../lib/utils"
interface DiagramContextType {
chartXML: string
latestSvg: string
diagramHistory: { svg: string; xml: string }[]
setDiagramHistory: (history: { svg: string; xml: string }[]) => void
loadDiagram: (chart: string, skipValidation?: boolean) => string | null
handleExport: () => void
handleExportWithoutHistory: () => void
resolverRef: React.MutableRefObject<((value: string) => void) | null>
drawioRef: React.MutableRefObject<DrawIoEmbedRef | null>
handleDiagramExport: (data: EventExport) => void
handleDiagramAutoSave: (data: { xml?: string }) => void
resolverRef: React.Ref<((value: string) => void) | null>
drawioRef: React.Ref<DrawIoEmbedRef | null>
handleDiagramExport: (data: any) => void
clearDiagram: () => void
saveDiagramToFile: (
filename: string,
format: ExportFormat,
sessionId?: string,
successMessage?: string,
) => void
getThumbnailSvg: () => Promise<string | null>
captureValidationPng: () => Promise<string | null>
saveDiagramToStorage: () => Promise<void>
isDrawioReady: boolean
onDrawioLoad: () => void
resetDrawioReady: () => void
@@ -49,41 +41,75 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
{ svg: string; xml: string }[]
>([])
const [isDrawioReady, setIsDrawioReady] = useState(false)
const [canSaveDiagram, setCanSaveDiagram] = useState(false)
const [showSaveDialog, setShowSaveDialog] = useState(false)
const hasCalledOnLoadRef = useRef(false)
const drawioRef = useRef<DrawIoEmbedRef | null>(null)
const resolverRef = useRef<((value: string) => void) | null>(null)
// Resolver for PNG export (used for VLM validation)
const pngResolverRef = useRef<((value: string) => void) | null>(null)
// Track if we're expecting an export for history (user-initiated)
const expectHistoryExportRef = useRef<boolean>(false)
// Track latest chartXML for restoration after remount
const chartXMLRef = useRef<string>("")
// Track if diagram has been restored from localStorage
const hasDiagramRestoredRef = useRef<boolean>(false)
const onDrawioLoad = () => {
// Only set ready state once to prevent infinite loops
if (hasCalledOnLoadRef.current) return
hasCalledOnLoadRef.current = true
// console.log("[DiagramContext] DrawIO loaded, setting ready state")
setIsDrawioReady(true)
// Restore diagram after remount (e.g., theme/UI change)
if (drawioRef.current && isRealDiagram(chartXMLRef.current)) {
drawioRef.current.load({ xml: chartXMLRef.current })
}
}
const resetDrawioReady = () => {
// console.log("[DiagramContext] Resetting DrawIO ready state")
hasCalledOnLoadRef.current = false
setIsDrawioReady(false)
}
// Keep chartXMLRef in sync with state for restoration after remount
// Restore diagram XML when DrawIO becomes ready
// eslint-disable-next-line react-hooks/exhaustive-deps -- loadDiagram uses refs internally and is stable
useEffect(() => {
chartXMLRef.current = chartXML
}, [chartXML])
// Reset restore flag when DrawIO is not ready (e.g., theme/UI change remounts it)
if (!isDrawioReady) {
hasDiagramRestoredRef.current = false
setCanSaveDiagram(false)
return
}
if (hasDiagramRestoredRef.current) return
hasDiagramRestoredRef.current = true
try {
const savedDiagramXml = localStorage.getItem(
STORAGE_DIAGRAM_XML_KEY,
)
if (savedDiagramXml) {
// Skip validation for trusted saved diagrams
loadDiagram(savedDiagramXml, true)
}
} catch (error) {
console.error("Failed to restore diagram from localStorage:", error)
}
// Allow saving after restore is complete
setTimeout(() => {
setCanSaveDiagram(true)
}, 500)
}, [isDrawioReady])
// Save diagram XML to localStorage whenever it changes (debounced)
useEffect(() => {
if (!canSaveDiagram) return
if (!chartXML || chartXML.length <= 300) return
const timeoutId = setTimeout(() => {
localStorage.setItem(STORAGE_DIAGRAM_XML_KEY, chartXML)
}, 1000)
return () => clearTimeout(timeoutId)
}, [chartXML, canSaveDiagram])
// Track if we're expecting an export for file save (stores raw export data)
const saveResolverRef = useRef<{
resolver: ((data: string, fullDiagramXML?: string) => void) | null
resolver: ((data: string) => void) | null
format: ExportFormat | null
}>({ resolver: null, format: null })
@@ -106,63 +132,27 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
}
}
// Get current diagram as SVG for thumbnail (used by session storage)
const getThumbnailSvg = async (): Promise<string | null> => {
if (!drawioRef.current) return null
// Don't export if diagram is empty
if (!isRealDiagram(chartXML)) return null
// Save current diagram to localStorage (used before theme/UI changes)
const saveDiagramToStorage = async (): Promise<void> => {
if (!drawioRef.current) return
try {
const svgData = await Promise.race([
const currentXml = await Promise.race([
new Promise<string>((resolve) => {
resolverRef.current = resolve
drawioRef.current?.exportDiagram({ format: "xmlsvg" })
}),
new Promise<string>((_, reject) =>
setTimeout(() => reject(new Error("Export timeout")), 3000),
setTimeout(() => reject(new Error("Export timeout")), 2000),
),
])
// Update latestSvg so it's available for future saves
if (svgData?.includes("<svg")) {
setLatestSvg(svgData)
return svgData
// Only save if diagram has meaningful content (not empty template)
if (currentXml && currentXml.length > 300) {
localStorage.setItem(STORAGE_DIAGRAM_XML_KEY, currentXml)
}
return null
} catch {
// Timeout is expected occasionally - don't log as error
return null
}
}
// Capture current diagram as PNG for VLM validation
const captureValidationPng = async (): Promise<string | null> => {
if (!drawioRef.current) return null
// Don't export if diagram is empty
if (!isRealDiagram(chartXML)) return null
try {
const pngData = await Promise.race([
new Promise<string>((resolve) => {
pngResolverRef.current = resolve
drawioRef.current?.exportDiagram({ format: "png" })
}),
new Promise<string>((_, reject) =>
setTimeout(
() => reject(new Error("PNG export timeout")),
5000,
),
),
])
// PNG data should be a base64 data URL
if (pngData?.startsWith("data:image/png")) {
return pngData
}
return null
} catch {
// Timeout is expected occasionally - don't log as error
return null
} catch (error) {
console.error("Failed to save diagram to storage:", error)
}
}
@@ -204,32 +194,21 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
return null
}
const handleDiagramExport = (data: EventExport) => {
// Handle PNG export for VLM validation
if (pngResolverRef.current && data.data?.startsWith("data:image/png")) {
pngResolverRef.current(data.data)
pngResolverRef.current = null
return
}
const handleDiagramExport = (data: any) => {
// Handle save to file if requested (process raw data before extraction)
if (saveResolverRef.current.resolver) {
const format = saveResolverRef.current.format
saveResolverRef.current.resolver(data.data, data.xml)
saveResolverRef.current.resolver(data.data)
saveResolverRef.current = { resolver: null, format: null }
// For non-xmlsvg formats, skip XML extraction as it will fail
// Only drawio (which uses xmlsvg internally) has the content attribute
// xmlsvg is saved directly as SVG file, no need for extraction
if (format === "png" || format === "svg" || format === "xmlsvg") {
if (format === "png" || format === "svg") {
return
}
}
// Don't write chartXML here: exports don't change the diagram, and
// data.xml from xmlsvg exports has compressed <diagram> payloads that
// would break edit_diagram/display_diagram. Autosave keeps chartXML
// up to date with the full uncompressed multi-page document (#879).
const extractedXML = extractDiagramXML(data.data)
setChartXML(extractedXML)
setLatestSvg(data.data)
// Only add to history if this was a user-initiated export
@@ -256,16 +235,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
}
}
const handleDiagramAutoSave = (data: { xml?: string }) => {
if (!data?.xml) return
// Don't overwrite a pending restore - if we have a real diagram in state
// but DrawIO isn't ready yet, it means we're waiting to restore
if (!isDrawioReady && isRealDiagram(chartXML)) {
return
}
setChartXML(data.xml)
}
const clearDiagram = () => {
const emptyDiagram = `<mxfile><diagram name="Page-1" id="page-1"><mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/></root></mxGraphModel></diagram></mxfile>`
// Skip validation for trusted internal template (loadDiagram also sets chartXML)
@@ -278,7 +247,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
filename: string,
format: ExportFormat,
sessionId?: string,
successMessage?: string,
) => {
if (!drawioRef.current) {
console.warn("Draw.io editor not ready")
@@ -286,21 +254,18 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
}
// Map format to draw.io export format
const drawioFormat =
format === "drawio" || format === "xmlsvg" ? "xmlsvg" : format
const drawioFormat = format === "drawio" ? "xmlsvg" : format
// Set up the resolver before triggering export
saveResolverRef.current = {
resolver: (exportData: string, fullDiagramXML?: string) => {
resolver: (exportData: string) => {
let fileContent: string | Blob
let mimeType: string
let extension: string
if (format === "drawio") {
// Prefer the complete document from the export event so all pages are saved.
const xml = fullDiagramXML?.trim()
? fullDiagramXML
: extractDiagramXML(exportData)
// Extract XML from SVG for .drawio format
const xml = extractDiagramXML(exportData)
let xmlContent = xml
if (!xml.includes("<mxfile")) {
xmlContent = `<mxfile><diagram name="Page-1" id="page-1">${xml}</diagram></mxfile>`
@@ -308,18 +273,16 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
fileContent = xmlContent
mimeType = "application/xml"
extension = ".drawio"
// Save to localStorage when user manually saves
localStorage.setItem(STORAGE_DIAGRAM_XML_KEY, xmlContent)
} else if (format === "png") {
// PNG data comes as base64 data URL
fileContent = exportData
mimeType = "image/png"
extension = ".png"
} else if (format === "xmlsvg") {
// Editable SVG: pass data URL directly (like PNG)
fileContent = exportData
mimeType = "image/svg+xml"
extension = ".drawio.svg"
} else {
// SVG format (view-only)
// SVG format
fileContent = exportData
mimeType = "image/svg+xml"
extension = ".svg"
@@ -348,14 +311,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
a.click()
document.body.removeChild(a)
// Show success toast after download is initiated
if (successMessage) {
toast.success(successMessage, {
position: "bottom-left",
duration: 2500,
})
}
// Delay URL revocation to ensure download completes
if (!url.startsWith("data:")) {
setTimeout(() => URL.revokeObjectURL(url), 100)
@@ -391,18 +346,15 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
chartXML,
latestSvg,
diagramHistory,
setDiagramHistory,
loadDiagram,
handleExport,
handleExportWithoutHistory,
resolverRef,
drawioRef,
handleDiagramExport,
handleDiagramAutoSave,
clearDiagram,
saveDiagramToFile,
getThumbnailSvg,
captureValidationPng,
saveDiagramToStorage,
isDrawioReady,
onDrawioLoad,
resetDrawioReady,

View File

@@ -11,10 +11,7 @@ services:
# - NEXT_PUBLIC_BASE_PATH=/nextaidrawio
ports: ["3000:3000"]
env_file: .env
volumes:
# Persists admin panel settings (data/settings.json)
- ./data:/app/data
# environment:
# # For subdirectory deployment, uncomment and set your path:
# NEXT_PUBLIC_BASE_PATH: /nextaidrawio
environment:
# For subdirectory deployment, uncomment and set your path:
# NEXT_PUBLIC_BASE_PATH: /nextaidrawio
depends_on: [drawio]

284
docs/README_CN.md Normal file
View File

@@ -0,0 +1,284 @@
# Next AI Draw.io
<div align="center">
**AI驱动的图表创建工具 - 对话、绘制、可视化**
[English](../README.md) | 中文 | [日本語](./README_JA.md)
[![TrendShift](https://trendshift.io/api/badge/repositories/15449)](https://next-ai-drawio.jiang.jp/)
[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Next.js](https://img.shields.io/badge/Next.js-16.x-black)](https://nextjs.org/)
[![React](https://img.shields.io/badge/React-19.x-61dafb)](https://react.dev/)
[![Sponsor](https://img.shields.io/badge/Sponsor-❤-ea4aaa)](https://github.com/sponsors/DayuanJiang)
[![Live Demo](../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
</div>
一个集成了AI功能的Next.js网页应用与draw.io图表无缝结合。通过自然语言命令和AI辅助可视化来创建、修改和增强图表。
> 注:感谢 <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) 的赞助支持,本项目的 Demo 现已接入强大的 K2-thinking 模型!
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
## 目录
- [Next AI Draw.io](#next-ai-drawio)
- [目录](#目录)
- [示例](#示例)
- [功能特性](#功能特性)
- [MCP服务器预览](#mcp服务器预览)
- [快速开始](#快速开始)
- [在线试用](#在线试用)
- [使用Docker运行推荐](#使用docker运行推荐)
- [安装](#安装)
- [部署](#部署)
- [多提供商支持](#多提供商支持)
- [工作原理](#工作原理)
- [项目结构](#项目结构)
- [支持与联系](#支持与联系)
- [Star历史](#star历史)
## 示例
以下是一些示例提示词及其生成的图表:
<div align="center">
<table width="100%">
<tr>
<td colspan="2" valign="top" align="center">
<strong>动画Transformer连接器</strong><br />
<p><strong>提示词:</strong> 给我一个带有**动画连接器**的Transformer架构图。</p>
<img src="../public/animated_connectors.svg" alt="带动画连接器的Transformer架构" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>GCP架构图</strong><br />
<p><strong>提示词:</strong> 使用**GCP图标**生成一个GCP架构图。在这个图中用户连接到托管在实例上的前端。</p>
<img src="../public/gcp_demo.svg" alt="GCP架构图" width="480" />
</td>
<td width="50%" valign="top">
<strong>AWS架构图</strong><br />
<p><strong>提示词:</strong> 使用**AWS图标**生成一个AWS架构图。在这个图中用户连接到托管在实例上的前端。</p>
<img src="../public/aws_demo.svg" alt="AWS架构图" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>Azure架构图</strong><br />
<p><strong>提示词:</strong> 使用**Azure图标**生成一个Azure架构图。在这个图中用户连接到托管在实例上的前端。</p>
<img src="../public/azure_demo.svg" alt="Azure架构图" width="480" />
</td>
<td width="50%" valign="top">
<strong>猫咪素描</strong><br />
<p><strong>提示词:</strong> 给我画一只可爱的猫。</p>
<img src="../public/cat_demo.svg" alt="猫咪绘图" width="240" />
</td>
</tr>
</table>
</div>
## 功能特性
- **LLM驱动的图表创建**利用大语言模型通过自然语言命令直接创建和操作draw.io图表
- **基于图像的图表复制**上传现有图表或图像让AI自动复制和增强
- **PDF和文本文件上传**上传PDF文档和文本文件提取内容并从现有文档生成图表
- **AI推理过程显示**查看支持模型的AI思考过程OpenAI o1/o3、Gemini、Claude等
- **图表历史记录**全面的版本控制跟踪所有更改允许您查看和恢复AI编辑前的图表版本
- **交互式聊天界面**与AI实时对话来完善您的图表
- **云架构图支持**专门支持生成云架构图AWS、GCP、Azure
- **动画连接器**:在图表元素之间创建动态动画连接器,实现更好的可视化效果
## MCP服务器预览
> **预览功能**:此功能为实验性功能,可能会有变化。
通过MCP模型上下文协议在Claude Desktop、Cursor和VS Code等AI代理中使用Next AI Draw.io。
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
```
### Claude Code CLI
```bash
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
```
然后让Claude创建图表
> "创建一个展示用户认证流程的流程图包含登录、MFA和会话管理"
图表会实时显示在浏览器中!
详情请参阅[MCP服务器README](../packages/mcp-server/README.md)了解VS Code、Cursor等客户端配置。
## 快速开始
### 在线试用
无需安装!直接在我们的演示站点试用:
[![Live Demo](../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
> **使用自己的 API Key**:您可以使用自己的 API Key 来绕过演示站点的用量限制。点击聊天面板中的设置图标即可配置您的 Provider 和 API Key。您的 Key 仅保存在浏览器本地,不会被存储在服务器上。
### 使用Docker运行推荐
如果您只想在本地运行最好的方式是使用Docker。
首先如果您还没有安装Docker请先安装[获取Docker](https://docs.docker.com/get-docker/)
然后运行:
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
或者使用 env 文件:
```bash
cp env.example .env
# 编辑 .env 填写您的配置
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
在浏览器中打开 [http://localhost:3000](http://localhost:3000)。
请根据您首选的AI提供商配置替换环境变量。可用选项请参阅[多提供商支持](#多提供商支持)。
> **离线部署:** 如果 `embed.diagrams.net` 被屏蔽,请参阅 [离线部署指南](./offline-deployment.md) 了解配置选项。
### 安装
1. 克隆仓库:
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
```
2. 安装依赖:
```bash
npm install
```
3. 配置您的AI提供商
在根目录创建 `.env.local` 文件:
```bash
cp env.example .env.local
```
编辑 `.env.local` 并配置您选择的提供商:
-`AI_PROVIDER` 设置为您选择的提供商bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, doubao
-`AI_MODEL` 设置为您要使用的特定模型
- 添加您的提供商所需的API密钥
- `TEMPERATURE`:可选的温度设置(例如 `0` 表示确定性输出)。对于不支持此参数的模型(如推理模型),请不要设置。
- `ACCESS_CODE_LIST` 访问密码,可选,可以使用逗号隔开多个密码。
> 警告:如果不填写 `ACCESS_CODE_LIST`,则任何人都可以直接使用你部署后的网站,可能会导致你的 token 被急速消耗完毕,建议填写此选项。
详细设置说明请参阅[提供商配置指南](./ai-providers.md)。
4. 运行开发服务器:
```bash
npm run dev
```
5. 在浏览器中打开 [http://localhost:3000](http://localhost:3000) 查看应用。
## 部署
部署Next.js应用最简单的方式是使用Next.js创建者提供的[Vercel平台](https://vercel.com/new)。
查看[Next.js部署文档](https://nextjs.org/docs/app/building-your-application/deploying)了解更多详情。
或者您可以通过此按钮部署:
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
请确保在Vercel控制台中**设置环境变量**,就像您在本地 `.env.local` 文件中所做的那样。
## 多提供商支持
- [字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
- AWS Bedrock默认
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
除AWS Bedrock和OpenRouter外所有提供商都支持自定义端点。
📖 **[详细的提供商配置指南](./ai-providers.md)** - 查看各提供商的设置说明。
**模型要求**此任务需要强大的模型能力因为它涉及生成具有严格格式约束的长文本draw.io XML。推荐使用Claude Sonnet 4.5、GPT-4o、Gemini 2.0和DeepSeek V3/R1。
注意:`claude-sonnet-4-5` 已在带有AWS标志的draw.io图表上进行训练因此如果您想创建AWS架构图这是最佳选择。
## 工作原理
本应用使用以下技术:
- **Next.js**:用于前端框架和路由
- **Vercel AI SDK**`ai` + `@ai-sdk/*`用于流式AI响应和多提供商支持
- **react-drawio**:用于图表表示和操作
图表以XML格式表示可在draw.io中渲染。AI处理您的命令并相应地生成或修改此XML。
## 项目结构
```
app/ # Next.js App Router
api/chat/ # 带AI工具的聊天API端点
page.tsx # 带DrawIO嵌入的主页面
components/ # React组件
chat-panel.tsx # 带图表控制的聊天界面
chat-input.tsx # 带文件上传的用户输入组件
history-dialog.tsx # 图表版本历史查看器
ui/ # UI组件按钮、卡片等
contexts/ # React上下文提供者
diagram-context.tsx # 全局图表状态管理
lib/ # 工具函数和辅助程序
ai-providers.ts # 多提供商AI配置
utils.ts # XML处理和转换工具
public/ # 静态资源包括示例图片
```
## 支持与联系
**特别感谢[字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)赞助演示站点的 API Token 使用!** 注册火山引擎 ARK 平台即可获得50万免费Token
如果您觉得这个项目有用,请考虑[赞助](https://github.com/sponsors/DayuanJiang)来帮助我托管在线演示站点!
如需支持或咨询请在GitHub仓库上提交issue或联系维护者
- 邮箱me[at]jiang.jp
## Star历史
[![Star History Chart](https://api.star-history.com/svg?repos=DayuanJiang/next-ai-draw-io&type=date&legend=top-left)](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
---

View File

@@ -4,7 +4,7 @@
**AI搭載のダイアグラム作成ツール - チャット、描画、可視化**
[English](../../README.md) | [中文](../cn/README_CN.md) | 日本語
[English](../README.md) | [中文](./README_CN.md) | 日本語
[![TrendShift](https://trendshift.io/api/badge/repositories/15449)](https://next-ai-drawio.jiang.jp/)
@@ -13,13 +13,13 @@
[![React](https://img.shields.io/badge/React-19.x-61dafb)](https://react.dev/)
[![Sponsor](https://img.shields.io/badge/Sponsor-❤-ea4aaa)](https://github.com/sponsors/DayuanJiang)
[![Live Demo](../../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
[![Live Demo](../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
</div>
AI機能とdraw.ioダイアグラムを統合したNext.jsウェブアプリケーションです。自然言語コマンドとAI支援の可視化により、ダイアグラムを作成、修正、強化できます。
> 注:<img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) のご支援により、デモサイトに強力な glm-4.7 モデルを導入しました!
> 注:<img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) のご支援により、デモサイトに強力な K2-thinking モデルを導入しました!
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
@@ -28,21 +28,16 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
- [目次](#目次)
- [](#例)
- [機能](#機能)
- [MCPサーバー](#mcpサーバー)
- [Claude Code CLI](#claude-code-cli)
- [MCPサーバー(プレビュー)](#mcpサーバープレビュー)
- [はじめに](#はじめに)
- [オンラインで試す](#オンラインで試す)
- [デスクトップアプリケーション](#デスクトップアプリケーション)
- [Dockerで実行](#dockerで実行)
- [Dockerで実行推奨](#dockerで実行推奨)
- [インストール](#インストール)
- [デプロイ](#デプロイ)
- [EdgeOne Pagesへのデプロイ](#edgeone-pagesへのデプロイ)
- [Vercelへのデプロイ](#vercelへのデプロイ)
- [Cloudflare Workersへのデプロイ](#cloudflare-workersへのデプロイ)
- [マルチプロバイダーサポート](#マルチプロバイダーサポート)
- [仕組み](#仕組み)
- [プロジェクト構造](#プロジェクト構造)
- [サポート&お問い合わせ](#サポートお問い合わせ)
- [よくある質問](#よくある質問)
- [スター履歴](#スター履歴)
## 例
@@ -54,32 +49,32 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
<tr>
<td colspan="2" valign="top" align="center">
<strong>アニメーションTransformerコネクタ</strong><br />
<p><strong>Prompt:</strong> Give me a **animated connector** diagram of transformer's architecture.</p>
<img src="../../public/animated_connectors.svg" alt="アニメーションコネクタ付きTransformerアーキテクチャ" width="480" />
<p><strong>プロンプト:</strong> **アニメーションコネクタ**付きのTransformerアーキテクチャ図を作成してください。</p>
<img src="../public/animated_connectors.svg" alt="アニメーションコネクタ付きTransformerアーキテクチャ" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>RAG技術ダイアグラム</strong><br />
<p><strong>Prompt:</strong> Generate a RAG architecture diagram for **chat application**. Use connected diagram for data ingestion</p>
<img src="../../public/rag_prod.svg" alt="RAGアーキテクチャ図" width="480" />
<strong>GCPアーキテクチャ図</strong><br />
<p><strong>プロンプト:</strong> **GCPアイコン**を使用してGCPアーキテクチャ図を生成してください。この図では、ユーザーがインスタンス上でホストされているフロントエンドに接続します。</p>
<img src="../public/gcp_demo.svg" alt="GCPアーキテクチャ図" width="480" />
</td>
<td width="50%" valign="top">
<strong>ReactとAWSによる認証</strong><br />
<p><strong>Prompt:</strong> Generate authentication process using React with **AWS**. Use Serverless architecture.</p>
<img src="../../public/auth.svg" alt="認証アーキテクチャ図" width="480" />
<strong>AWSアーキテクチャ図</strong><br />
<p><strong>プロンプト:</strong> **AWSアイコン**を使用してAWSアーキテクチャ図を生成してください。この図では、ユーザーがインスタンス上でホストされているフロントエンドに接続します。</p>
<img src="../public/aws_demo.svg" alt="AWSアーキテクチャ図" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>オープンイノベーション</strong><br />
<p><strong>Prompt:</strong> Create visualization of Henry Chesbrough's Open Innovation model.</p>
<img src="../../public/inno.svg" alt="オープンイノベーション図" width="480" />
<strong>Azureアーキテクチャ図</strong><br />
<p><strong>プロンプト:</strong> **Azureアイコン**を使用してAzureアーキテクチャ図を生成してください。この図では、ユーザーがインスタンス上でホストされているフロントエンドに接続します。</p>
<img src="../public/azure_demo.svg" alt="Azureアーキテクチャ図" width="480" />
</td>
<td width="50%" valign="top">
<strong>猫のスケッチ</strong><br />
<p><strong>Prompt:</strong> Draw a cute cat for me.</p>
<img src="../../public/cat_demo.svg" alt="猫の絵" width="240" />
<p><strong>プロンプト:</strong> かわいい猫を描いてください。</p>
<img src="../public/cat_demo.svg" alt="猫の絵" width="240" />
</td>
</tr>
</table>
@@ -96,7 +91,9 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
- **クラウドアーキテクチャダイアグラムサポート**クラウドアーキテクチャダイアグラムの生成を専門的にサポートAWS、GCP、Azure
- **アニメーションコネクタ**:より良い可視化のためにダイアグラム要素間に動的でアニメーション化されたコネクタを作成
## MCPサーバー
## MCPサーバー(プレビュー)
> **プレビュー機能**:この機能は実験的であり、変更される可能性があります。
MCPModel Context Protocolを介して、Claude Desktop、Cursor、VS CodeなどのAIエージェントでNext AI Draw.ioを使用できます。
@@ -122,7 +119,7 @@ Claudeにダイアグラムの作成を依頼
ダイアグラムがリアルタイムでブラウザに表示されます!
詳細は[MCPサーバーREADME](../../packages/mcp-server/README.md)をご覧くださいVS Code、Cursorなどのクライアント設定も含む
詳細は[MCPサーバーREADME](../packages/mcp-server/README.md)をご覧くださいVS Code、Cursorなどのクライアント設定も含む
## はじめに
@@ -130,19 +127,39 @@ Claudeにダイアグラムの作成を依頼
インストール不要!デモサイトで直接お試しください:
[![Live Demo](../../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
[![Live Demo](../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
> **自分のAPIキーを使用**自分のAPIキーを使用することで、デモサイトの利用制限を回避できます。チャットパネルの設定アイコンをクリックして、プロバイダーとAPIキーを設定してください。キーはブラウザのローカルに保存され、サーバーには保存されません。
### デスクトップアプリケーション
### Dockerで実行推奨
[Releases ページ](https://github.com/DayuanJiang/next-ai-draw-io/releases)からお使いのプラットフォーム用のネイティブデスクトップアプリをダウンロードしてください:
ローカルで実行したいだけなら、Dockerを使用するのが最も簡単です。
対応プラットフォームWindows、macOS、Linux。
まず、Dockerをインストールしていない場合はインストールしてください[Dockerを入手](https://docs.docker.com/get-docker/)
### Dockerで実行
次に実行
[Docker ガイドを参照](./docker.md)
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
または env ファイルを使用:
```bash
cp env.example .env
# .env を編集して設定を入力
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
ブラウザで [http://localhost:3000](http://localhost:3000) を開いてください。
環境変数はお好みのAIプロバイダー設定に置き換えてください。利用可能なオプションについては[マルチプロバイダーサポート](#マルチプロバイダーサポート)を参照してください。
> **オフラインデプロイ:** `embed.diagrams.net` がブロックされている場合は、[オフラインデプロイガイド](./offline-deployment.md) で設定オプションをご確認ください。
### インストール
@@ -151,82 +168,74 @@ Claudeにダイアグラムの作成を依頼
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
```
2. 依存関係をインストール:
```bash
npm install
```
3. AIプロバイダーを設定
ルートディレクトリに`.env.local`ファイルを作成:
```bash
cp env.example .env.local
```
`.env.local`を編集して選択したプロバイダーを設定:
- `AI_PROVIDER`を選択したプロバイダーに設定bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, doubao
- `AI_MODEL`を使用する特定のモデルに設定
- プロバイダーに必要なAPIキーを追加
- `TEMPERATURE`:オプションの温度設定(例:`0`で決定論的な出力)。温度をサポートしないモデル(推論モデルなど)では設定しないでください。
- `ACCESS_CODE_LIST` アクセスパスワード(オプション)。カンマ区切りで複数のパスワードを指定できます。
> 警告:`ACCESS_CODE_LIST`を設定しない場合、誰でもデプロイされたサイトに直接アクセスできるため、トークンが急速に消費される可能性があります。このオプションを設定することをお勧めします。
詳細な設定手順については[プロバイダー設定ガイド](./ai-providers.md)を参照してください。
2. 開発サーバーを起動:
4. 開発サーバーを起動:
```bash
npm run dev
```
3. ブラウザで[http://localhost:6002](http://localhost:6002)を開いてアプリケーションを確認。
5. ブラウザで[http://localhost:3000](http://localhost:3000)を開いてアプリケーションを確認。
## デプロイ
### EdgeOne Pagesへのデプロイ
[Tencent EdgeOne Pages](https://pages.edgeone.ai/)を使用してワンクリックでデプロイできます。
このボタンでデプロイ:
[![Deploy to EdgeOne Pages](https://cdnstatic.tencentcs.com/edgeone/pages/deploy.svg)](https://edgeone.ai/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
詳細は[Tencent EdgeOne Pagesドキュメント](https://pages.edgeone.ai/document/deployment-overview)をご覧ください。
また、Tencent EdgeOne Pagesでデプロイすると、[DeepSeekモデルの毎日の無料クォータ](https://pages.edgeone.ai/document/edge-ai)が付与されます。
### Vercelへのデプロイ
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
Next.jsアプリをデプロイする最も簡単な方法は、Next.jsの作成者による[Vercelプラットフォーム](https://vercel.com/new)を使用することです。ローカルの`.env.local`ファイルと同様に、Vercelダッシュボードで**環境変数を設定**してください。
Next.jsアプリをデプロイする最も簡単な方法は、Next.jsの作成者による[Vercelプラットフォーム](https://vercel.com/new)を使用することです。
詳細は[Next.jsデプロイメントドキュメント](https://nextjs.org/docs/app/building-your-application/deploying)をご覧ください。
### Cloudflare Workersへのデプロイ
または、このボタンでデプロイできます:
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
[Cloudflare デプロイガイドを参照](./cloudflare-deploy.md)
ローカルの`.env.local`ファイルと同様に、Vercelダッシュボードで**環境変数を設定**してください。
## マルチプロバイダーサポート
- [ByteDance Doubao](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)
- [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
- AWS Bedrockデフォルト
- OpenAI
- Anthropic
- Google AI
- Google Vertex AI
- Azure OpenAI
- Ollama
- OpenRouter
- AIHubMix
- DeepSeek
- SiliconFlow
- ModelScope
- SGLang
- Vercel AI Gateway
AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタムエンドポイントをサポートしています。
📖 **[詳細なプロバイダー設定ガイド](./ai-providers.md)** - 各プロバイダーの設定手順をご覧ください。
### サーバーサイドマルチモデル設定
**モデル要件**このタスクは厳密なフォーマット制約draw.io XMLを持つ長文テキスト生成を伴うため、強力なモデル機能が必要です。Claude Sonnet 4.5、GPT-4o、Gemini 2.0、DeepSeek V3/R1を推奨します。
管理者は、ユーザーが個人のAPIキーを提供することなく利用できる複数のサーバーサイドモデルを設定できます。`AI_MODELS_CONFIG` 環境変数JSON文字列または `ai-models.json` ファイルで設定します。同一プロバイダー内の複数モデルだけが必要な場合は、`AI_MODEL` にカンマ区切りでモデルIDを列挙する簡易設定も使えます。
**モデル要件**このタスクは厳密なフォーマット制約draw.io XMLを持つ長文テキスト生成を伴うため、強力なモデル機能が必要です。Claude Sonnet 4.5、GPT-5.1、Gemini 3 Pro、DeepSeek V3.2/R1を推奨します。
注:`claude`シリーズはAWS、Azure、GCPなどのクラウドアーキテクチャロゴ付きのdraw.ioダイアグラムで学習されているため、クラウドアーキテクチャダイアグラムを作成したい場合は最適な選択です。
### 管理パネル
`ADMIN_PASSWORD` 環境変数を設定して `/admin` にアクセスすると、`.env` を手動で編集する代わりに Web パネルでサーバー設定(モデル、アクセスコード、機能、可観測性、クォータ)を管理できます。
📖 **[管理パネルガイド](./admin-panel.md)** — 有効化の方法、優先順位ルール、注意事項。
注:`claude-sonnet-4-5`はAWSロゴ付きのdraw.ioダイアグラムで学習されているため、AWSアーキテクチャダイアグラムを作成したい場合は最適な選択です。
## 仕組み
@@ -239,10 +248,28 @@ AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタム
ダイアグラムはdraw.ioでレンダリングできるXMLとして表現されます。AIがコマンドを処理し、それに応じてこのXMLを生成または変更します。
## プロジェクト構造
```
app/ # Next.js App Router
api/chat/ # AIツール付きチャットAPIエンドポイント
page.tsx # DrawIO埋め込み付きメインページ
components/ # Reactコンポーネント
chat-panel.tsx # ダイアグラム制御付きチャットインターフェース
chat-input.tsx # ファイルアップロード付きユーザー入力コンポーネント
history-dialog.tsx # ダイアグラムバージョン履歴ビューア
ui/ # UIコンポーネントボタン、カードなど
contexts/ # Reactコンテキストプロバイダー
diagram-context.tsx # グローバルダイアグラム状態管理
lib/ # ユーティリティ関数とヘルパー
ai-providers.ts # マルチプロバイダーAI設定
utils.ts # XML処理と変換ユーティリティ
public/ # サンプル画像を含む静的アセット
```
## サポート&お問い合わせ
**デモサイトのAPIトークン使用を支援してくださった[ByteDance Doubao](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)に特別な感謝を申し上げます!** ARKプラットフォームに登録すると、50万トークンが無料でもらえます
**デモサイトのAPIトークン使用を支援してくださった[ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)に特別な感謝を申し上げます!** ARKプラットフォームに登録すると、50万トークンが無料でもらえます
このプロジェクトが役に立ったら、ライブデモサイトのホスティングを支援するために[スポンサー](https://github.com/sponsors/DayuanJiang)をご検討ください!
@@ -250,10 +277,6 @@ AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタム
- メールme[at]jiang.jp
## よくある質問
一般的な問題と解決策については [FAQ](./FAQ.md) をご覧ください。
## スター履歴
[![Star History Chart](https://api.star-history.com/svg?repos=DayuanJiang/next-ai-draw-io&type=date&legend=top-left)](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)

225
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@@ -0,0 +1,225 @@
# AI Provider Configuration
This guide explains how to configure different AI model providers for next-ai-draw-io.
## Quick Start
1. Copy `.env.example` to `.env.local`
2. Set your API key for your chosen provider
3. Set `AI_MODEL` to your desired model
4. Run `npm run dev`
## Supported Providers
### Doubao (ByteDance Volcengine)
> **Free tokens**: Register on the [Volcengine ARK platform](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) to get 500K free tokens for all models!
```bash
DOUBAO_API_KEY=your_api_key
AI_MODEL=doubao-seed-1-8-251215 # or other Doubao model
```
### Google Gemini
```bash
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key
AI_MODEL=gemini-2.0-flash
```
Optional custom endpoint:
```bash
GOOGLE_BASE_URL=https://your-custom-endpoint
```
### OpenAI
```bash
OPENAI_API_KEY=your_api_key
AI_MODEL=gpt-4o
```
Optional custom endpoint (for OpenAI-compatible services):
```bash
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### Anthropic
```bash
ANTHROPIC_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250514
```
Optional custom endpoint:
```bash
ANTHROPIC_BASE_URL=https://your-custom-endpoint
```
### DeepSeek
```bash
DEEPSEEK_API_KEY=your_api_key
AI_MODEL=deepseek-chat
```
Optional custom endpoint:
```bash
DEEPSEEK_BASE_URL=https://your-custom-endpoint
```
### SiliconFlow (OpenAI-compatible)
```bash
SILICONFLOW_API_KEY=your_api_key
AI_MODEL=deepseek-ai/DeepSeek-V3 # example; use any SiliconFlow model id
```
Optional custom endpoint (defaults to the recommended domain):
```bash
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # or https://api.siliconflow.cn/v1
```
### Azure OpenAI
```bash
AZURE_API_KEY=your_api_key
AZURE_RESOURCE_NAME=your-resource-name # Required: your Azure resource name
AI_MODEL=your-deployment-name
```
Or use a custom endpoint instead of resource name:
```bash
AZURE_API_KEY=your_api_key
AZURE_BASE_URL=https://your-resource.openai.azure.com # Alternative to AZURE_RESOURCE_NAME
AI_MODEL=your-deployment-name
```
Optional reasoning configuration:
```bash
AZURE_REASONING_EFFORT=low # Optional: low, medium, high
AZURE_REASONING_SUMMARY=detailed # Optional: none, brief, detailed
```
### AWS Bedrock
```bash
AWS_REGION=us-west-2
AWS_ACCESS_KEY_ID=your_access_key_id
AWS_SECRET_ACCESS_KEY=your_secret_access_key
AI_MODEL=anthropic.claude-sonnet-4-5-20250514-v1:0
```
Note: On AWS (Lambda, EC2 with IAM role), credentials are automatically obtained from the IAM role.
### OpenRouter
```bash
OPENROUTER_API_KEY=your_api_key
AI_MODEL=anthropic/claude-sonnet-4
```
Optional custom endpoint:
```bash
OPENROUTER_BASE_URL=https://your-custom-endpoint
```
### Ollama (Local)
```bash
AI_PROVIDER=ollama
AI_MODEL=llama3.2
```
Optional custom URL:
```bash
OLLAMA_BASE_URL=http://localhost:11434
```
### Vercel AI Gateway
Vercel AI Gateway provides unified access to multiple AI providers through a single API key. This simplifies authentication and allows you to switch between providers without managing multiple API keys.
**Basic Usage (Vercel-hosted Gateway):**
```bash
AI_GATEWAY_API_KEY=your_gateway_api_key
AI_MODEL=openai/gpt-4o
```
**Custom Gateway URL (for local development or self-hosted Gateway):**
```bash
AI_GATEWAY_API_KEY=your_custom_api_key
AI_GATEWAY_BASE_URL=https://your-custom-gateway.com/v1/ai
AI_MODEL=openai/gpt-4o
```
Model format uses `provider/model` syntax:
- `openai/gpt-4o` - OpenAI GPT-4o
- `anthropic/claude-sonnet-4-5` - Anthropic Claude Sonnet 4.5
- `google/gemini-2.0-flash` - Google Gemini 2.0 Flash
**Configuration notes:**
- If `AI_GATEWAY_BASE_URL` is not set, the default Vercel Gateway URL (`https://ai-gateway.vercel.sh/v1/ai`) is used
- Custom base URL is useful for:
- Local development with a custom Gateway instance
- Self-hosted AI Gateway deployments
- Enterprise proxy configurations
- When using a custom base URL, you must also provide `AI_GATEWAY_API_KEY`
Get your API key from the [Vercel AI Gateway dashboard](https://vercel.com/ai-gateway).
## Auto-Detection
If you only configure **one** provider's API key, the system will automatically detect and use that provider. No need to set `AI_PROVIDER`.
If you configure **multiple** API keys, you must explicitly set `AI_PROVIDER`:
```bash
AI_PROVIDER=google # or: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway
```
## Model Capability Requirements
This task requires exceptionally strong model capabilities, as it involves generating long-form text with strict formatting constraints (draw.io XML).
**Recommended models**:
- Claude Sonnet 4.5 / Opus 4.5
**Note on Ollama**: While Ollama is supported as a provider, it's generally not practical for this use case unless you're running high-capability models like DeepSeek R1 or Qwen3-235B locally.
## Temperature Setting
You can optionally configure the temperature via environment variable:
```bash
TEMPERATURE=0 # More deterministic output (recommended for diagrams)
```
**Important**: Leave `TEMPERATURE` unset for models that don't support temperature settings, such as:
- GPT-5.1 and other reasoning models
- Some specialized models
When unset, the model uses its default behavior.
## Recommendations
- **Best experience**: Use models with vision support (GPT-4o, Claude, Gemini) for image-to-diagram features
- **Budget-friendly**: DeepSeek offers competitive pricing
- **Privacy**: Use Ollama for fully local, offline operation (requires powerful hardware)
- **Flexibility**: OpenRouter provides access to many models through a single API

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@@ -1,78 +0,0 @@
# 常见问题解答 (FAQ)
---
## 1. 无法导出 PDF
**问题**: Web 版点击导出 PDF 后跳转到 `convert.diagrams.net/node/export` 然后无响应
**原因**: 嵌入式 Draw.io 不支持直接 PDF 导出,依赖外部转换服务,在 iframe 中无法正常工作
**解决方案**: 先导出为图片PNG再打印转成 PDF
**相关 Issue**: #539, #125
---
## 2. 无法访问 embed.diagrams.net离线/内网部署)
**问题**: 内网环境提示"找不到 embed.diagrams.net 的服务器 IP 地址"
**关键点**: `NEXT_PUBLIC_*` 环境变量是**构建时**变量,会被打包到 JS 代码中,**运行时设置无效**
**解决方案**: 必须在构建时通过 `args` 传入:
```yaml
# docker-compose.yml
services:
drawio:
image: jgraph/drawio:latest
ports: ["8080:8080"]
next-ai-draw-io:
build:
context: .
args:
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://你的服务器IP:8080/
ports: ["3000:3000"]
env_file: .env
```
**内网用户**: 在外网修改 Dockerfile 并构建镜像,再传到内网使用
**相关 Issue**: #295, #317
---
## 3. 自建模型只思考不画图
**问题**: 本地部署的模型(如 Qwen、LiteLLM只输出思考过程不生成图表
**可能原因**:
1. **模型太小** - 小模型难以正确遵循 tool calling 指令,建议使用 32B+ 参数的模型
2. **未开启 tool calling** - 模型服务需要配置 tool use 功能
**解决方案**: 开启 tool calling例如 vLLM
```bash
python -m vllm.entrypoints.openai.api_server \
--model Qwen/Qwen3-32B \
--enable-auto-tool-choice \
--tool-call-parser hermes
```
**相关 Issue**: #269, #75
---
## 4. 上传图片后提示"未提供图片"
**问题**: 上传图片后,系统显示"未提供图片"错误
**可能原因**:
1. 模型不支持视觉功能(如 Kimi K2、DeepSeek、Qwen 文本模型)
**解决方案**:
- 使用支持视觉的模型GPT-5.2、Claude 4.5 Sonnet、Gemini 3 Pro
- 模型名带 `vision``vl` 的支持图片
- 更新到最新版本v0.4.9+
**相关 Issue**: #324, #421, #469

View File

@@ -1,262 +0,0 @@
# Next AI Draw.io
<div align="center">
**AI驱动的图表创建工具 - 对话、绘制、可视化**
[English](../../README.md) | 中文 | [日本語](../ja/README_JA.md)
[![TrendShift](https://trendshift.io/api/badge/repositories/15449)](https://next-ai-drawio.jiang.jp/)
[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Next.js](https://img.shields.io/badge/Next.js-16.x-black)](https://nextjs.org/)
[![React](https://img.shields.io/badge/React-19.x-61dafb)](https://react.dev/)
[![Sponsor](https://img.shields.io/badge/Sponsor-❤-ea4aaa)](https://github.com/sponsors/DayuanJiang)
[![Live Demo](../../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
</div>
一个集成了AI功能的Next.js网页应用与draw.io图表无缝结合。通过自然语言命令和AI辅助可视化来创建、修改和增强图表。
> 注:感谢 <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [字节跳动豆包](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) 的赞助支持,本项目的 Demo 现已接入强大的 glm-4.7 模型!
<a href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio" target="_blank"><img src="../../public/volcengine-invite.png" alt="火山引擎方舟 Coding Plan" width="300" /></a>
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
## 目录
- [Next AI Draw.io](#next-ai-drawio)
- [目录](#目录)
- [示例](#示例)
- [功能特性](#功能特性)
- [MCP服务器](#mcp服务器)
- [Claude Code CLI](#claude-code-cli)
- [快速开始](#快速开始)
- [在线试用](#在线试用)
- [桌面应用](#桌面应用)
- [使用Docker运行](#使用docker运行)
- [安装](#安装)
- [部署](#部署)
- [部署到腾讯云EdgeOne Pages](#部署到腾讯云edgeone-pages)
- [部署到Vercel](#部署到vercel)
- [部署到Cloudflare Workers](#部署到cloudflare-workers)
- [多提供商支持](#多提供商支持)
- [工作原理](#工作原理)
- [支持与联系](#支持与联系)
- [常见问题](#常见问题)
- [Star历史](#star历史)
## 示例
以下是一些示例提示词及其生成的图表:
<div align="center">
<table width="100%">
<tr>
<td colspan="2" valign="top" align="center">
<strong>动画Transformer连接器</strong><br />
<p><strong>Prompt:</strong> Give me a **animated connector** diagram of transformer's architecture.</p>
<img src="../../public/animated_connectors.svg" alt="带动画连接器的Transformer架构" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>RAG技术图</strong><br />
<p><strong>Prompt:</strong> Generate a RAG architecture diagram for **chat application**. Use connected diagram for data ingestion</p>
<img src="../../public/rag_prod.svg" alt="RAG架构图" width="480" />
</td>
<td width="50%" valign="top">
<strong>React和AWS认证流程</strong><br />
<p><strong>Prompt:</strong> Generate authentication process using React with **AWS**. Use Serverless architecture.</p>
<img src="../../public/auth.svg" alt="认证架构图" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>开放式创新</strong><br />
<p><strong>Prompt:</strong> Create visualization of Henry Chesbrough's Open Innovation model.</p>
<img src="../../public/inno.svg" alt="开放式创新图" width="480" />
</td>
<td width="50%" valign="top">
<strong>猫咪素描</strong><br />
<p><strong>Prompt:</strong> Draw a cute cat for me.</p>
<img src="../../public/cat_demo.svg" alt="猫咪绘图" width="240" />
</td>
</tr>
</table>
</div>
## 功能特性
- **LLM驱动的图表创建**利用大语言模型通过自然语言命令直接创建和操作draw.io图表
- **基于图像的图表复制**上传现有图表或图像让AI自动复制和增强
- **PDF和文本文件上传**上传PDF文档和文本文件提取内容并从现有文档生成图表
- **AI推理过程显示**查看支持模型的AI思考过程OpenAI o1/o3、Gemini、Claude等
- **图表历史记录**全面的版本控制跟踪所有更改允许您查看和恢复AI编辑前的图表版本
- **交互式聊天界面**与AI实时对话来完善您的图表
- **云架构图支持**专门支持生成云架构图AWS、GCP、Azure
- **动画连接器**:在图表元素之间创建动态动画连接器,实现更好的可视化效果
## MCP服务器
通过MCP模型上下文协议在Claude Desktop、Cursor和VS Code等AI代理中使用Next AI Draw.io。
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
```
### Claude Code CLI
```bash
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
```
然后让Claude创建图表
> "创建一个展示用户认证流程的流程图包含登录、MFA和会话管理"
图表会实时显示在浏览器中!
详情请参阅[MCP服务器README](../../packages/mcp-server/README.md)了解VS Code、Cursor等客户端配置。
## 快速开始
### 在线试用
无需安装!直接在我们的演示站点试用:
[![Live Demo](../../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
> **使用自己的 API Key**:您可以使用自己的 API Key 来绕过演示站点的用量限制。点击聊天面板中的设置图标即可配置您的 Provider 和 API Key。您的 Key 仅保存在浏览器本地,不会被存储在服务器上。
### 桌面应用
从 [Releases 页面](https://github.com/DayuanJiang/next-ai-draw-io/releases) 下载适用于您平台的原生桌面应用:
支持的平台Windows、macOS、Linux。
### 使用Docker运行
[查看 Docker 指南](./docker.md)
### 安装
1. 克隆仓库:
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
npm install
cp env.example .env.local
```
详细设置说明请参阅[提供商配置指南](./ai-providers.md)。
2. 运行开发服务器:
```bash
npm run dev
```
3. 在浏览器中打开 [http://localhost:6002](http://localhost:6002) 查看应用。
## 部署
### 部署到腾讯云EdgeOne Pages
您可以通过[腾讯云EdgeOne Pages](https://pages.edgeone.ai/zh)一键部署。
直接点击此按钮一键部署:
[![使用 EdgeOne Pages 部署](https://cdnstatic.tencentcs.com/edgeone/pages/deploy.svg)](https://console.cloud.tencent.com/edgeone/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
查看[腾讯云EdgeOne Pages文档](https://pages.edgeone.ai/zh/document/product-introduction)了解更多详情。
同时通过腾讯云EdgeOne Pages部署也会获得[每日免费的DeepSeek模型额度](https://edgeone.cloud.tencent.com/pages/document/169925463311781888)。
### 部署到Vercel
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
部署Next.js应用最简单的方式是使用Next.js创建者提供的[Vercel平台](https://vercel.com/new)。请确保在Vercel控制台中**设置环境变量**,就像您在本地 `.env.local` 文件中所做的那样。
查看[Next.js部署文档](https://nextjs.org/docs/app/building-your-application/deploying)了解更多详情。
### 部署到Cloudflare Workers
[查看 Cloudflare 部署指南](./cloudflare-deploy.md)
## 多提供商支持
- [字节跳动豆包](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)
- AWS Bedrock默认
- OpenAI
- Anthropic
- Google AI
- Google Vertex AI
- Azure OpenAI
- Ollama
- OpenRouter
- AIHubMix
- DeepSeek
- SiliconFlow
- ModelScope
- SGLang
- Vercel AI Gateway
除AWS Bedrock和OpenRouter外所有提供商都支持自定义端点。
📖 **[详细的提供商配置指南](./ai-providers.md)** - 查看各提供商的设置说明。
### 服务端多模型配置
管理员可以配置多个服务端模型,让所有用户无需提供个人 API Key 即可使用。通过 `AI_MODELS_CONFIG` 环境变量JSON 字符串)或 `ai-models.json` 文件配置。如果只需要单 provider 下的多个模型,也可以直接在 `AI_MODEL` 中用逗号分隔模型 ID。
**模型要求**此任务需要强大的模型能力因为它涉及生成具有严格格式约束的长文本draw.io XML。推荐使用 Claude Sonnet 4.5、GPT-5.1、Gemini 3 Pro 和 DeepSeek V3.2/R1。
注意:`claude` 系列已在带有 AWS、Azure、GCP 等云架构 Logo 的 draw.io 图表上进行训练,因此如果您想创建云架构图,这是最佳选择。
### 管理面板
设置 `ADMIN_PASSWORD` 环境变量并访问 `/admin`,即可在 Web 面板中管理服务端设置(模型、访问码、功能开关、可观测性、配额),无需手动编辑 `.env`
📖 **[管理面板指南](./admin-panel.md)** — 启用方法、优先级规则和注意事项。
## 工作原理
本应用使用以下技术:
- **Next.js**:用于前端框架和路由
- **Vercel AI SDK**`ai` + `@ai-sdk/*`用于流式AI响应和多提供商支持
- **react-drawio**:用于图表表示和操作
图表以XML格式表示可在draw.io中渲染。AI处理您的命令并相应地生成或修改此XML。
## 支持与联系
**特别感谢[字节跳动豆包](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)赞助演示站点的 API Token 使用!** 注册火山引擎 ARK 平台即可获得50万免费Token
如果您觉得这个项目有用,请考虑[赞助](https://github.com/sponsors/DayuanJiang)来帮助我托管在线演示站点!
如需支持或咨询请在GitHub仓库上提交issue或联系维护者
- 邮箱me[at]jiang.jp
## 常见问题
请参阅 [FAQ](./FAQ.md) 了解常见问题和解决方案。
## Star历史
[![Star History Chart](https://api.star-history.com/svg?repos=DayuanJiang/next-ai-draw-io&type=date&legend=top-left)](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
---

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@@ -1,24 +0,0 @@
# 管理面板
无需手动编辑 `.env`,您可以在 Web 管理面板中管理服务端设置。
## 启用面板
1. 设置 `ADMIN_PASSWORD` 环境变量(不设置则面板禁用)。
2. 访问 `/admin` 并登录。
## 可配置内容
1. **Models模型** — 添加提供商及其 API Key 和模型列表,交互与应用内的模型设置相同。保存后这些模型成为所有用户可用的服务端模型,并在请求时与环境中的 `AI_MODELS_CONFIG` / `ai-models.json` 合并(面板不会修改这些环境文件)。
2. **其余区块** — 访问码、生成参数、功能开关、可观测性和配额。保存的设置会写入 `data/settings.json` 并立即生效,无需重启(少数设置如 Langfuse 和 DynamoDB 标记为"需要重启")。
## 优先级
面板中保存的设置覆盖环境变量,环境变量覆盖内置默认值。删除已保存的值会回退到环境变量。
## 注意事项
- 密钥以明文形式存储在 `data/settings.json` 中(文件权限 600请妥善保管该文件。
- 在无服务器平台Vercel、Cloudflare Workers上没有持久化磁盘面板为只读 — 请改用环境变量配置。
- 使用 Docker 时,`data/` 目录通过 `docker-compose.yml` 中的卷持久化。
- `NEXT_PUBLIC_*` 变量在构建时固化,无法在面板中修改。

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# AI 提供商配置
本指南介绍如何为 next-ai-draw-io 配置不同的 AI 模型提供商。
## 快速开始
1.`.env.example` 复制为 `.env.local`
2. 设置所选提供商的 API 密钥
3.`AI_MODEL` 设置为所需的模型
4. 运行 `npm run dev`
## 支持的提供商
### 豆包 (字节跳动火山引擎)
> **免费 Token**:在 [火山引擎 ARK 平台](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) 注册,即可获得所有模型 50 万免费 Token
```bash
DOUBAO_API_KEY=your_api_key
AI_MODEL=doubao-seed-1-8-251215 # 或其他豆包模型
```
### Google Gemini
```bash
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key
AI_MODEL=gemini-2.0-flash
```
可选的自定义端点:
```bash
GOOGLE_BASE_URL=https://your-custom-endpoint
```
### OpenAI
```bash
OPENAI_API_KEY=your_api_key
AI_MODEL=gpt-4o
```
可选的自定义端点(用于 OpenAI 兼容服务):
```bash
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### AIHubMix
AIHubMix 通过单个 API Key 聚合 Claude、GPT、Gemini、DeepSeek 等模型。
```bash
AIHUBMIX_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250929
```
可选的自定义端点:
```bash
AIHUBMIX_BASE_URL=https://aihubmix.com/v1
```
### Anthropic
```bash
ANTHROPIC_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250514
```
或者使用 Bearer 认证令牌(例如通过会下发 OAuth 风格 token 的网关时)。`ANTHROPIC_AUTH_TOKEN` 会作为 `Authorization: Bearer <token>` 头发送,而 `ANTHROPIC_API_KEY` 会作为 `x-api-key` 头发送。两者互斥,只能设置其中之一:
```bash
ANTHROPIC_AUTH_TOKEN=your_auth_token
AI_MODEL=claude-sonnet-4-5-20250514
```
可选的自定义端点:
```bash
ANTHROPIC_BASE_URL=https://your-custom-endpoint
```
### DeepSeek
```bash
DEEPSEEK_API_KEY=your_api_key
AI_MODEL=deepseek-chat
```
可选的自定义端点:
```bash
DEEPSEEK_BASE_URL=https://your-custom-endpoint
```
### SiliconFlow (OpenAI 兼容)
```bash
SILICONFLOW_API_KEY=your_api_key
AI_MODEL=deepseek-ai/DeepSeek-V3 # 示例;使用任何 SiliconFlow 模型 ID
```
可选的自定义端点(默认为推荐域名):
```bash
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # 或 https://api.siliconflow.cn/v1
```
### SGLang
```bash
SGLANG_API_KEY=your_api_key
AI_MODEL=your_model_id
```
可选的自定义端点:
```bash
SGLANG_BASE_URL=https://your-custom-endpoint/v1
```
### Azure OpenAI
```bash
AZURE_API_KEY=your_api_key
AZURE_RESOURCE_NAME=your-resource-name # 必填:您的 Azure 资源名称
AI_MODEL=your-deployment-name
```
或者使用自定义端点代替资源名称:
```bash
AZURE_API_KEY=your_api_key
AZURE_BASE_URL=https://your-resource.openai.azure.com # AZURE_RESOURCE_NAME 的替代方案
AI_MODEL=your-deployment-name
```
可选的推理配置:
```bash
AZURE_REASONING_EFFORT=low # 可选low, medium, high
AZURE_REASONING_SUMMARY=detailed # 可选none, brief, detailed
```
### AWS Bedrock
```bash
AWS_REGION=us-west-2
AWS_ACCESS_KEY_ID=your_access_key_id
AWS_SECRET_ACCESS_KEY=your_secret_access_key
AI_MODEL=anthropic.claude-sonnet-4-5-20250514-v1:0
```
注意:在 AWS 环境Lambda、带有 IAM 角色的 EC2凭证会自动从 IAM 角色获取。
### OpenRouter
```bash
OPENROUTER_API_KEY=your_api_key
AI_MODEL=anthropic/claude-sonnet-4
```
可选的自定义端点:
```bash
OPENROUTER_BASE_URL=https://your-custom-endpoint
```
### Ollama (本地)
```bash
AI_PROVIDER=ollama
AI_MODEL=llama3.2
```
### ModelScope
```bash
MODELSCOPE_API_KEY=your_api_key
AI_MODEL=Qwen/Qwen3-235B-A22B-Instruct-2507
```
可选的自定义端点:
```bash
MODELSCOPE_BASE_URL=https://your-custom-endpoint
```
可选的自定义 URL
```bash
OLLAMA_BASE_URL=http://localhost:11434
```
### Vercel AI Gateway
Vercel AI Gateway 通过单个 API 密钥提供对多个 AI 提供商的统一访问。这简化了身份验证,让您无需管理多个 API 密钥即可在不同提供商之间切换。
**基本用法Vercel 托管网关):**
```bash
AI_GATEWAY_API_KEY=your_gateway_api_key
AI_MODEL=openai/gpt-4o
```
**自定义网关 URL用于本地开发或自托管网关**
```bash
AI_GATEWAY_API_KEY=your_custom_api_key
AI_GATEWAY_BASE_URL=https://your-custom-gateway.com/v1/ai
AI_MODEL=openai/gpt-4o
```
模型格式使用 `provider/model` 语法:
- `openai/gpt-4o` - OpenAI GPT-4o
- `anthropic/claude-sonnet-4-5` - Anthropic Claude Sonnet 4.5
- `google/gemini-2.0-flash` - Google Gemini 2.0 Flash
**配置说明:**
- 如果未设置 `AI_GATEWAY_BASE_URL`,则使用默认的 Vercel Gateway URL (`https://ai-gateway.vercel.sh/v1/ai`)
- 自定义基础 URL 适用于:
- 使用自定义网关实例进行本地开发
- 自托管 AI Gateway 部署
- 企业代理配置
- 当使用自定义基础 URL 时,必须同时提供 `AI_GATEWAY_API_KEY`
从 [Vercel AI Gateway 仪表板](https://vercel.com/ai-gateway) 获取您的 API 密钥。
### MiniMax
MiniMax 支持两种 API 格式:
- **Anthropic 兼容**`/anthropic` 端点)— 推荐,支持 interleaved thinking
- **OpenAI 兼容**`/v1` 端点)— 标准 OpenAI 聊天补全格式
```bash
MINIMAX_API_KEY=your_api_key
AI_MODEL=MiniMax-M3
```
可选配置:
```bash
# 中国大陆版Anthropic 兼容(默认)
MINIMAX_BASE_URL=https://api.minimaxi.com/anthropic
# 中国大陆版OpenAI 兼容
MINIMAX_BASE_URL=https://api.minimaxi.com/v1
# 国际版Anthropic 兼容
MINIMAX_BASE_URL=https://api.minimax.io/anthropic
# 国际版OpenAI 兼容
MINIMAX_BASE_URL=https://api.minimax.io/v1
```
### GLM (智谱 AI)
```bash
GLM_API_KEY=your_api_key
AI_MODEL=glm-4
```
可选的自定义端点:
```bash
GLM_BASE_URL=https://your-custom-endpoint
```
### Qwen (阿里云通义千问)
```bash
QWEN_API_KEY=your_api_key
AI_MODEL=qwen-turbo
```
可选的自定义端点:
```bash
QWEN_BASE_URL=https://your-custom-endpoint
```
### Kimi (月之暗面 Moonshot AI)
```bash
KIMI_API_KEY=your_api_key
AI_MODEL=kimi-latest
```
可选的自定义端点:
```bash
KIMI_BASE_URL=https://your-custom-endpoint
```
### Qiniu (七牛云)
```bash
QINIU_API_KEY=your_api_key
AI_MODEL=your_model_id
```
可选的自定义端点:
```bash
QINIU_BASE_URL=https://your-custom-endpoint
```
### MiMo (小米)
```bash
MIMO_API_KEY=your_api_key
AI_MODEL=mimo-v2.5-pro
```
可选的自定义端点Token Plan 订阅用户请设置专属 Base URL
```bash
MIMO_BASE_URL=https://token-plan-cn.xiaomimimo.com/v1
```
## 自动检测
如果您只配置了**一个**提供商的 API 密钥,系统将自动检测并使用该提供商。无需设置 `AI_PROVIDER`
如果您配置了**多个** API 密钥,则必须显式设置 `AI_PROVIDER`
```bash
AI_PROVIDER=google # 或openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu, mimo
```
## 服务端多模型配置
管理员可以配置多个服务端模型,让所有用户无需提供个人 API Key 即可使用。
### 配置方式
**方式一:环境变量**(推荐用于云部署)
设置 `AI_MODELS_CONFIG` 为 JSON 字符串:
```bash
AI_MODELS_CONFIG='{"providers":[{"name":"OpenAI","provider":"openai","models":["gpt-4o"],"default":true}]}'
```
**方式二:配置文件**
在项目根目录创建 `ai-models.json` 文件(或通过 `AI_MODELS_CONFIG_PATH` 指定路径)。
**方式三:`AI_MODEL` 用逗号分隔**(单 provider 的快速配置)
如果只需要暴露同一 provider 下的多个模型,可以直接在 `AI_MODEL` 里用逗号分隔。第一个模型会作为默认值。
```bash
AI_PROVIDER=doubao
AI_MODEL=doubao-seed-1-8-251215,doubao-seed-1-6-flash,doubao-seed-1-6-pro
```
这是等价 `ai-models.json` 的简写形式。如果需要配置多个 provider或自定义 `apiKeyEnv` / `baseUrlEnv`,请使用方式一或方式二。
### 配置示例
```json
{
"providers": [
{
"name": "OpenAI Production",
"provider": "openai",
"models": ["gpt-4o", "gpt-4o-mini"],
"default": true
},
{
"name": "Custom DeepSeek",
"provider": "deepseek",
"models": ["deepseek-chat"],
"apiKeyEnv": "MY_DEEPSEEK_KEY",
"baseUrlEnv": "MY_DEEPSEEK_URL"
}
]
}
```
### 字段说明
| 字段 | 必填 | 说明 |
|------|------|------|
| `name` | 是 | 显示名称(支持同一提供商多个配置) |
| `provider` | 是 | 提供商类型(`openai`, `anthropic`, `google`, `bedrock` 等) |
| `models` | 是 | 模型 ID 列表 |
| `default` | 否 | 设为 `true` 表示默认选中该提供商的第一个模型 |
| `apiKeyEnv` | 否 | 自定义 API Key 环境变量名(默认使用提供商标准变量如 `OPENAI_API_KEY` |
| `baseUrlEnv` | 否 | 自定义 Base URL 环境变量名 |
### 说明
- API Key 和凭证通过环境变量提供。默认使用标准变量名(如 `OPENAI_API_KEY`),也可通过 `apiKeyEnv` 指定自定义变量名。
- `name` 字段允许同一提供商多个配置(例如 "OpenAI Production" 和 "OpenAI Staging" 都使用 `provider: "openai"``apiKeyEnv` 不同)。
- 如果配置不存在,应用会回退到 `AI_PROVIDER`/`AI_MODEL` 环境变量配置。
## 模型能力要求
此任务对模型能力要求极高因为它涉及生成具有严格格式约束draw.io XML的长文本。
**推荐模型**
- Claude Sonnet 4.5 / Opus 4.5
**关于 Ollama 的说明**:虽然支持将 Ollama 作为提供商,但除非您在本地运行像 DeepSeek R1 或 Qwen3-235B 这样的高性能模型,否则对于此用例通常不太实用。
## 温度设置 (Temperature)
您可以通过环境变量选择性地配置温度:
```bash
TEMPERATURE=0 # 输出更具确定性(推荐用于图表)
```
**重要提示**:对于不支持温度设置的模型(例如以下模型),请勿设置 `TEMPERATURE`
- GPT-5.1 和其他推理模型
- 某些专用模型
未设置时,模型将使用其默认行为。
## 推荐
- **最佳体验**使用支持视觉的模型GPT-4o, Claude, Gemini以获得图像转图表功能
- **经济实惠**DeepSeek 提供具有竞争力的价格
- **隐私保护**:使用 Ollama 进行完全本地、离线的操作(需要强大的硬件支持)
- **灵活性**OpenRouter 通过单一 API 提供对众多模型的访问

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# 部署到 Cloudflare Workers
本项目可以通过 **OpenNext 适配器** 部署为 **Cloudflare Worker**,为您提供:
- 全球边缘部署
- 极低延迟
- 免费的 `workers.dev` 域名托管
- 通过 R2 实现完整的 Next.js ISR 支持(可选)
> **Windows 用户重要提示:** OpenNext 和 Wrangler 在 **原生 Windows 环境下并不完全可靠**。建议方案:
>
> - 使用 **GitHub Codespaces**(完美运行)
> - 或者使用 **WSL (Linux)**
>
> 纯 Windows 构建可能会因为 WASM 文件路径问题而失败。
---
## 前置条件
1. 一个 **Cloudflare 账户**(免费版即可满足基本部署需求)
2. **Node.js 18+**
3. 安装 **Wrangler CLI**(作为开发依赖安装即可):
```bash
npm install -D wrangler
```
4. 登录 Cloudflare
```bash
npx wrangler login
```
> **注意:** 只有在启用 R2 进行 ISR 缓存时才需要绑定支付方式。基本的 Workers 部署是免费的。
---
## 第一步 — 安装依赖
```bash
npm install
```
---
## 第二步 — 配置环境变量
Cloudflare 在本地测试时使用不同的文件。
### 1) 创建 `.dev.vars`(用于 Cloudflare 本地调试 + 部署)
```bash
cp env.example .dev.vars
```
填入您的 API 密钥和配置信息。
### 2) 确保 `.env.local` 也存在(用于常规 Next.js 开发)
```bash
cp env.example .env.local
```
在此处填入相同的值。
---
## 第三步 — 选择部署类型
### 选项 A不使用 R2 部署(简单,免费)
如果您不需要 ISR 缓存,可以选择不使用 R2 进行部署:
**1. 使用简单的 `open-next.config.ts`**
```ts
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
export default defineCloudflareConfig({})
```
**2. 使用简单的 `wrangler.jsonc`(不包含 r2_buckets**
```jsonc
{
"$schema": "node_modules/wrangler/config-schema.json",
"main": ".open-next/worker.js",
"name": "next-ai-draw-io-worker",
"compatibility_date": "2025-12-08",
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
"assets": {
"directory": ".open-next/assets",
"binding": "ASSETS"
},
"services": [
{
"binding": "WORKER_SELF_REFERENCE",
"service": "next-ai-draw-io-worker"
}
]
}
```
直接跳至 **第四步**
---
### 选项 B使用 R2 部署(完整的 ISR 支持)
R2 开启了 **增量静态再生 (ISR)** 缓存功能。需要在您的 Cloudflare 账户中绑定支付方式。
**1. 在 Cloudflare 控制台中创建 R2 存储桶:**
- 进入 **Storage & Databases → R2**
- 点击 **Create bucket**
- 命名为:`next-inc-cache`
**2. 配置 `open-next.config.ts`**
```ts
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
import r2IncrementalCache from "@opennextjs/cloudflare/overrides/incremental-cache/r2-incremental-cache"
export default defineCloudflareConfig({
incrementalCache: r2IncrementalCache,
})
```
**3. 配置 `wrangler.jsonc`(包含 R2**
```jsonc
{
"$schema": "node_modules/wrangler/config-schema.json",
"main": ".open-next/worker.js",
"name": "next-ai-draw-io-worker",
"compatibility_date": "2025-12-08",
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
"assets": {
"directory": ".open-next/assets",
"binding": "ASSETS"
},
"r2_buckets": [
{
"binding": "NEXT_INC_CACHE_R2_BUCKET",
"bucket_name": "next-inc-cache"
}
],
"services": [
{
"binding": "WORKER_SELF_REFERENCE",
"service": "next-ai-draw-io-worker"
}
]
}
```
> **重要提示:** `bucket_name` 必须与您在 Cloudflare 控制台中创建的名称完全一致。
---
## 第四步 — 注册 workers.dev 子域名(仅首次需要)
在首次部署之前,您需要一个 workers.dev 子域名。
**选项 1通过 Cloudflare 控制台(推荐)**
访问https://dash.cloudflare.com → Workers & Pages → Overview → Set up a subdomain
**选项 2在部署过程中**
运行 `npm run deploy`Wrangler 可能会提示:
```
Would you like to register a workers.dev subdomain? (Y/n)
```
输入 `Y` 并选择一个子域名。
> **注意:** 在 CI/CD 或非交互式环境中,该提示不会出现。请先通过控制台进行注册。
---
## 第五步 — 部署到 Cloudflare
```bash
npm run deploy
```
该脚本执行的操作:
- 构建 Next.js 应用
- 通过 OpenNext 将其转换为 Cloudflare Worker
- 上传静态资源
- 发布 Worker
您的应用将可通过以下地址访问:
```
https://<worker-name>.<your-subdomain>.workers.dev
```
---
## 常见问题与修复
### `You need to register a workers.dev subdomain`
**原因:** 您的账户尚未注册 workers.dev 子域名。
**修复:** 前往 https://dash.cloudflare.com → Workers & Pages → Set up a subdomain。
---
### `Please enable R2 through the Cloudflare Dashboard`
**原因:** wrangler.jsonc 中配置了 R2但您的账户尚未启用该功能。
**修复:** 启用 R2需要支付方式或使用选项 A不使用 R2 部署)。
---
### `No R2 binding "NEXT_INC_CACHE_R2_BUCKET" found`
**原因:** `wrangler.jsonc` 中缺少 `r2_buckets` 配置。
**修复:** 添加 `r2_buckets` 部分或切换到选项 A不使用 R2
---
### `Can't set compatibility date in the future`
**原因:** wrangler 配置中的 `compatibility_date` 设置为了未来的日期。
**修复:**`compatibility_date` 修改为今天或更早的日期。
---
### Windows 错误:`resvg.wasm?module` (ENOENT)
**原因:** Windows 文件名不能包含 `?`,但某个 wasm 资源文件名中使用了 `?module`
**修复:** 在 Linux 环境WSL、Codespaces 或 CI上进行构建/部署。
---
## 可选:本地预览
部署前在本地预览 Worker
```bash
npm run preview
```
---
## 总结
| 功能 | 不使用 R2 | 使用 R2 |
|---------|------------|---------|
| 成本 | 免费 | 需要绑定支付方式 |
| ISR 缓存 | 无 | 有 |
| 静态页面 | 支持 | 支持 |
| API 路由 | 支持 | 支持 |
| 配置复杂度 | 简单 | 中等 |
测试或简单应用请选择 **不使用 R2**。需要 ISR 缓存的生产环境应用请选择 **使用 R2**

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@@ -1,29 +0,0 @@
# 使用 Docker 运行
如果您只是想在本地运行,最好的方式是使用 Docker。
首先,如果您尚未安装 Docker请先安装[获取 Docker](https://docs.docker.com/get-docker/)
然后运行:
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
或者使用环境变量文件:
```bash
cp env.example .env
# 编辑 .env 文件并填入您的配置
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
在浏览器中打开 [http://localhost:3000](http://localhost:3000)。
请将环境变量替换为您首选的 AI 提供商配置。查看 [AI 提供商](./ai-providers.md) 了解可用选项。
> **离线部署:** 如果无法访问 `embed.diagrams.net`,请参阅 [离线部署](./offline-deployment.md) 了解配置选项。

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# 离线部署
通过自托管 draw.io 来替代 `embed.diagrams.net`,从而离线部署 Next AI Draw.io。
**注意:** `NEXT_PUBLIC_DRAWIO_BASE_URL` 是一个**构建时**变量。修改它需要重新构建 Docker 镜像。
## Docker Compose 设置
1. 克隆仓库并在 `.env` 文件中定义 API 密钥。
2. 创建 `docker-compose.yml`
```yaml
services:
drawio:
image: jgraph/drawio:latest
ports: ["8080:8080"]
next-ai-draw-io:
build:
context: .
args:
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://localhost:8080
ports: ["3000:3000"]
env_file: .env
depends_on: [drawio]
```
3. 运行 `docker compose up -d` 并打开 `http://localhost:3000`
## 配置与重要警告
**`NEXT_PUBLIC_DRAWIO_BASE_URL` 必须是用户浏览器可访问的地址。**
| 场景 | URL 值 |
|----------|-----------|
| 本地主机 (Localhost) | `http://localhost:8080` |
| 远程/服务器 | `http://YOUR_SERVER_IP:8080` |
**切勿使用** Docker 内部别名(如 `http://drawio:8080`),因为浏览器无法解析它们。

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# Frequently Asked Questions (FAQ)
---
## 1. Cannot Export PDF
**Problem**: Web version redirects to `convert.diagrams.net/node/export` when exporting PDF, then nothing happens
**Cause**: Embedded Draw.io doesn't support direct PDF export, it relies on external conversion service which doesn't work in iframe
**Solution**: Export as image (PNG) first, then print to PDF
**Related Issues**: #539, #125
---
## 2. Cannot Access embed.diagrams.net (Offline/Intranet Deployment)
**Problem**: Intranet environment shows "Cannot find server IP address for embed.diagrams.net"
**Key Point**: `NEXT_PUBLIC_*` environment variables are **build-time** variables, they get bundled into JS code. **Runtime settings don't work!**
**Solution**: Must pass via `args` at build time:
```yaml
# docker-compose.yml
services:
drawio:
image: jgraph/drawio:latest
ports: ["8080:8080"]
next-ai-draw-io:
build:
context: .
args:
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://your-server-ip:8080/
ports: ["3000:3000"]
env_file: .env
```
**Intranet Users**: Modify Dockerfile and build image on external network, then transfer to intranet
**Related Issues**: #295, #317
---
## 3. Self-hosted Model Only Thinks But Doesn't Draw
**Problem**: Locally deployed models (e.g., Qwen, LiteLLM) only output thinking process, don't generate diagrams
**Possible Causes**:
1. **Model too small** - Small models struggle to follow tool calling instructions correctly, recommend 32B+ parameter models
2. **Tool calling not enabled** - Model service needs tool use configuration
**Solution**: Enable tool calling, e.g., vLLM:
```bash
python -m vllm.entrypoints.openai.api_server \
--model Qwen/Qwen3-32B \
--enable-auto-tool-choice \
--tool-call-parser hermes
```
**Related Issues**: #269, #75
---
## 4. "No Image Provided" After Uploading Image
**Problem**: After uploading an image, the system shows "No image provided" error
**Possible Causes**:
1. Model doesn't support vision (e.g., Kimi K2, DeepSeek, Qwen text models)
**Solution**:
- Use vision-capable models: GPT-5.2, Claude 4.5 Sonnet, Gemini 3 Pro
- Models with `vision` or `vl` in name support images
- Update to latest version (v0.4.9+)
**Related Issues**: #324, #421, #469

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# Admin Panel
Instead of hand-editing `.env`, you can manage server settings in a web admin panel.
## Enabling the panel
1. Set the `ADMIN_PASSWORD` environment variable (leave unset to disable the panel).
2. Visit `/admin` and sign in.
## What you can configure
1. **Models** — add providers with their API keys and model lists, using the same UI as the in-app model settings. Saved models become server-side models available to all users, merged with any `AI_MODELS_CONFIG` / `ai-models.json` from your environment at request time (the panel does not modify those env files).
2. **Other sections** — access codes, generation parameters, features, observability, and quota. Saved settings are written to `data/settings.json` and apply immediately — no restart needed (a few settings such as Langfuse and DynamoDB are marked "Restart Required").
## Precedence
Settings saved in the panel override environment variables, which override built-in defaults. Removing a saved value falls back to the environment variable.
## Notes
- Secrets are stored in plaintext in `data/settings.json` (file mode 600). Keep the file private.
- On serverless platforms (Vercel, Cloudflare Workers) there is no persistent disk, so the panel is read-only — configure via environment variables there.
- With Docker, the `data/` directory is persisted via the volume in `docker-compose.yml`.
- `NEXT_PUBLIC_*` variables are baked in at build time and cannot be changed in the panel.

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# AI Provider Configuration
This guide explains how to configure different AI model providers for next-ai-draw-io.
## Quick Start
1. Copy `.env.example` to `.env.local`
2. Set your API key for your chosen provider
3. Set `AI_MODEL` to your desired model
4. Run `npm run dev`
## Supported Providers
### Doubao (ByteDance Volcengine)
> **Free tokens**: Register on the [Volcengine ARK platform](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) to get 500K free tokens for all models!
```bash
DOUBAO_API_KEY=your_api_key
AI_MODEL=doubao-seed-1-8-251215 # or other Doubao model
```
### Google Gemini
```bash
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key
AI_MODEL=gemini-2.0-flash
```
Optional custom endpoint:
```bash
GOOGLE_BASE_URL=https://your-custom-endpoint
```
### Google Vertex AI (Enterprise GCP)
Google Vertex AI offers enterprise-grade features and data residency. **Express Mode** allows for simple API key authentication, making it compatible with edge runtimes like Vercel and Cloudflare.
```bash
GOOGLE_VERTEX_API_KEY=your_api_key
AI_MODEL=gemini-2.0-flash
```
Optional custom endpoint:
```bash
GOOGLE_VERTEX_BASE_URL=https://your-custom-endpoint
```
### OpenAI
```bash
OPENAI_API_KEY=your_api_key
AI_MODEL=gpt-4o
```
Optional custom endpoint (for OpenAI-compatible services):
```bash
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### AIHubMix
AIHubMix provides access to Claude, GPT, Gemini, DeepSeek, and other models through a single API key.
```bash
AIHUBMIX_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250929
```
Optional custom endpoint:
```bash
AIHUBMIX_BASE_URL=https://aihubmix.com/v1
```
### Anthropic
```bash
ANTHROPIC_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250514
```
Or use a Bearer auth token instead of an API key (e.g. when going through a gateway that issues OAuth-style tokens). `ANTHROPIC_AUTH_TOKEN` is sent as `Authorization: Bearer <token>`, while `ANTHROPIC_API_KEY` is sent as `x-api-key`. The two are mutually exclusive — set only one:
```bash
ANTHROPIC_AUTH_TOKEN=your_auth_token
AI_MODEL=claude-sonnet-4-5-20250514
```
Optional custom endpoint:
```bash
ANTHROPIC_BASE_URL=https://your-custom-endpoint
```
### DeepSeek
```bash
DEEPSEEK_API_KEY=your_api_key
AI_MODEL=deepseek-chat
```
Optional custom endpoint:
```bash
DEEPSEEK_BASE_URL=https://your-custom-endpoint
```
### SiliconFlow (OpenAI-compatible)
```bash
SILICONFLOW_API_KEY=your_api_key
AI_MODEL=deepseek-ai/DeepSeek-V3 # example; use any SiliconFlow model id
```
Optional custom endpoint (defaults to the recommended domain):
```bash
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # or https://api.siliconflow.cn/v1
```
### SGLang
```bash
SGLANG_API_KEY=your_api_key
AI_MODEL=your_model_id
```
Optional custom endpoint:
```bash
SGLANG_BASE_URL=https://your-custom-endpoint/v1
```
### Azure OpenAI
```bash
AZURE_API_KEY=your_api_key
AZURE_RESOURCE_NAME=your-resource-name # Required: your Azure resource name
AI_MODEL=your-deployment-name
```
Or use a custom endpoint instead of resource name:
```bash
AZURE_API_KEY=your_api_key
AZURE_BASE_URL=https://your-resource.openai.azure.com # Alternative to AZURE_RESOURCE_NAME
AI_MODEL=your-deployment-name
```
Optional reasoning configuration:
```bash
AZURE_REASONING_EFFORT=low # Optional: low, medium, high
AZURE_REASONING_SUMMARY=detailed # Optional: none, brief, detailed
```
### AWS Bedrock
```bash
AWS_REGION=us-west-2
AWS_ACCESS_KEY_ID=your_access_key_id
AWS_SECRET_ACCESS_KEY=your_secret_access_key
AI_MODEL=anthropic.claude-sonnet-4-5-20250514-v1:0
```
Note: On AWS (Lambda, EC2 with IAM role), credentials are automatically obtained from the IAM role.
### OpenRouter
```bash
OPENROUTER_API_KEY=your_api_key
AI_MODEL=anthropic/claude-sonnet-4
```
Optional custom endpoint:
```bash
OPENROUTER_BASE_URL=https://your-custom-endpoint
```
### Ollama (Local)
```bash
AI_PROVIDER=ollama
AI_MODEL=llama3.2
```
Optional custom URL:
```bash
OLLAMA_BASE_URL=http://localhost:11434
```
### ModelScope
```bash
MODELSCOPE_API_KEY=your_api_key
AI_MODEL=Qwen/Qwen3-235B-A22B-Instruct-2507
```
Optional custom endpoint:
```bash
MODELSCOPE_BASE_URL=https://your-custom-endpoint
```
### Vercel AI Gateway
Vercel AI Gateway provides unified access to multiple AI providers through a single API key. This simplifies authentication and allows you to switch between providers without managing multiple API keys.
**Basic Usage (Vercel-hosted Gateway):**
```bash
AI_GATEWAY_API_KEY=your_gateway_api_key
AI_MODEL=openai/gpt-4o
```
**Custom Gateway URL (for local development or self-hosted Gateway):**
```bash
AI_GATEWAY_API_KEY=your_custom_api_key
AI_GATEWAY_BASE_URL=https://your-custom-gateway.com/v1/ai
AI_MODEL=openai/gpt-4o
```
Model format uses `provider/model` syntax:
- `openai/gpt-4o` - OpenAI GPT-4o
- `anthropic/claude-sonnet-4-5` - Anthropic Claude Sonnet 4.5
- `google/gemini-2.0-flash` - Google Gemini 2.0 Flash
**Configuration notes:**
- If `AI_GATEWAY_BASE_URL` is not set, the default Vercel Gateway URL (`https://ai-gateway.vercel.sh/v1/ai`) is used
- Custom base URL is useful for:
- Local development with a custom Gateway instance
- Self-hosted AI Gateway deployments
- Enterprise proxy configurations
- When using a custom base URL, you must also provide `AI_GATEWAY_API_KEY`
Get your API key from the [Vercel AI Gateway dashboard](https://vercel.com/ai-gateway).
### MiniMax
MiniMax supports two API formats:
- **Anthropic-compatible** (`/anthropic` endpoint) — recommended, supports interleaved thinking
- **OpenAI-compatible** (`/v1` endpoint) — standard OpenAI chat completions format
```bash
MINIMAX_API_KEY=your_api_key
AI_MODEL=MiniMax-M3
```
Optional configuration:
```bash
# China mainland, Anthropic-compatible (default)
MINIMAX_BASE_URL=https://api.minimaxi.com/anthropic
# China mainland, OpenAI-compatible
MINIMAX_BASE_URL=https://api.minimaxi.com/v1
# International, Anthropic-compatible
MINIMAX_BASE_URL=https://api.minimax.io/anthropic
# International, OpenAI-compatible
MINIMAX_BASE_URL=https://api.minimax.io/v1
```
### GLM (Zhipu AI)
```bash
GLM_API_KEY=your_api_key
AI_MODEL=glm-4
```
Optional custom endpoint:
```bash
GLM_BASE_URL=https://your-custom-endpoint
```
### Qwen (Alibaba Cloud)
```bash
QWEN_API_KEY=your_api_key
AI_MODEL=qwen-turbo
```
Optional custom endpoint:
```bash
QWEN_BASE_URL=https://your-custom-endpoint
```
### Kimi (Moonshot AI)
```bash
KIMI_API_KEY=your_api_key
AI_MODEL=kimi-latest
```
Optional custom endpoint:
```bash
KIMI_BASE_URL=https://your-custom-endpoint
```
### Qiniu (Qiniu Cloud)
```bash
QINIU_API_KEY=your_api_key
AI_MODEL=your_model_id
```
Optional custom endpoint:
```bash
QINIU_BASE_URL=https://your-custom-endpoint
```
### MiMo (Xiaomi)
```bash
MIMO_API_KEY=your_api_key
AI_MODEL=mimo-v2.5-pro
```
Optional custom endpoint (Token Plan subscribers should set their dedicated Base URL):
```bash
MIMO_BASE_URL=https://token-plan-cn.xiaomimimo.com/v1
```
## Auto-Detection
If you only configure **one** provider's API key, the system will automatically detect and use that provider. No need to set `AI_PROVIDER`.
If you configure **multiple** API keys, you must explicitly set `AI_PROVIDER`:
```bash
AI_PROVIDER=google # or: openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu, mimo
```
## Server-Side Multi-Model Configuration
Administrators can configure multiple server-side models that are available to all users without requiring personal API keys.
### Configuration Methods
**Option 1: Environment Variable** (recommended for cloud deployments)
Set `AI_MODELS_CONFIG` as a JSON string:
```bash
AI_MODELS_CONFIG='{"providers":[{"name":"OpenAI","provider":"openai","models":["gpt-4o"],"default":true}]}'
```
**Option 2: Config File**
Create an `ai-models.json` file in the project root (or set `AI_MODELS_CONFIG_PATH` to a custom location).
**Option 3: Comma-separated `AI_MODEL`** (quick setup, single provider)
If you only need multiple models from one provider, list them in `AI_MODEL` separated by commas. The first model is treated as the default.
```bash
AI_PROVIDER=doubao
AI_MODEL=doubao-seed-1-8-251215,doubao-seed-1-6-flash,doubao-seed-1-6-pro
```
This is shorthand for the equivalent `ai-models.json`. For multiple providers or custom `apiKeyEnv` / `baseUrlEnv`, use Option 1 or 2 instead.
### Example Configuration
```json
{
"providers": [
{
"name": "OpenAI Production",
"provider": "openai",
"models": ["gpt-4o", "gpt-4o-mini"],
"default": true
},
{
"name": "Custom DeepSeek",
"provider": "deepseek",
"models": ["deepseek-chat"],
"apiKeyEnv": "MY_DEEPSEEK_KEY",
"baseUrlEnv": "MY_DEEPSEEK_URL"
}
]
}
```
### Field Reference
| Field | Required | Description |
|-------|----------|-------------|
| `name` | Yes | Display name (supports multiple configs for same provider) |
| `provider` | Yes | Provider type (`openai`, `anthropic`, `google`, `bedrock`, etc.) |
| `models` | Yes | List of model IDs |
| `default` | No | Set to `true` to auto-select this provider's first model as default |
| `apiKeyEnv` | No | Custom API key env var name (defaults to provider's standard var like `OPENAI_API_KEY`) |
| `baseUrlEnv` | No | Custom base URL env var name |
### Notes
- API keys and credentials are provided via environment variables. By default, standard var names are used (e.g., `OPENAI_API_KEY`), but you can specify custom var names with `apiKeyEnv`.
- The `name` field allows multiple configurations for the same provider (e.g., "OpenAI Production" and "OpenAI Staging" both using `provider: "openai"` but with different `apiKeyEnv` values).
- If config is not present, the app falls back to `AI_PROVIDER`/`AI_MODEL` environment variable configuration.
## Model Capability Requirements
This task requires exceptionally strong model capabilities, as it involves generating long-form text with strict formatting constraints (draw.io XML).
**Recommended models**:
- Claude Sonnet 4.5 / Opus 4.5
**Note on Ollama**: While Ollama is supported as a provider, it's generally not practical for this use case unless you're running high-capability models like DeepSeek R1 or Qwen3-235B locally.
## Temperature Setting
You can optionally configure the temperature via environment variable:
```bash
TEMPERATURE=0 # More deterministic output (recommended for diagrams)
```
**Important**: Leave `TEMPERATURE` unset for models that don't support temperature settings, such as:
- GPT-5.1 and other reasoning models
- Some specialized models
When unset, the model uses its default behavior.
## Recommendations
- **Best experience**: Use models with vision support (GPT-4o, Claude, Gemini) for image-to-diagram features
- **Budget-friendly**: DeepSeek offers competitive pricing
- **Privacy**: Use Ollama for fully local, offline operation (requires powerful hardware)
- **Flexibility**: OpenRouter provides access to many models through a single API

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# Run with Docker
If you just want to run it locally, the best way is to use Docker.
First, install Docker if you haven't already: [Get Docker](https://docs.docker.com/get-docker/)
Then run:
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
Or use an env file:
```bash
cp env.example .env
# Edit .env with your configuration
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
### Using server-side model configuration
You can mount an `ai-models.json` file into the container to provide multiple server-side models without exposing user API keys:
```bash
docker run -d -p 3000:3000 \
-e OPENAI_API_KEY=your_api_key \
-v $(pwd)/ai-models.json:/app/ai-models.json:ro \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
If you prefer to keep the config in a different path inside the container, set `AI_MODELS_CONFIG_PATH`:
```bash
docker run -d -p 3000:3000 \
-e OPENAI_API_KEY=your_api_key \
-e AI_MODELS_CONFIG_PATH=/config/ai-models.json \
-v $(pwd)/ai-models.json:/config/ai-models.json:ro \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
Open [http://localhost:3000](http://localhost:3000) in your browser.
Replace the environment variables with your preferred AI provider configuration. See [AI Providers](./ai-providers.md) for available options.
> **Offline Deployment:** If `embed.diagrams.net` is blocked, see [Offline Deployment](./offline-deployment.md) for configuration options.

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# よくある質問 (FAQ)
---
## 1. PDFをエクスポートできない
**問題**: Web版でPDFエクスポートをクリックすると `convert.diagrams.net/node/export` にリダイレクトされ、その後何も起こらない
**原因**: 埋め込みDraw.ioは直接PDFエクスポートをサポートしておらず、外部変換サービスに依存しているが、iframe内では正常に動作しない
**解決策**: まず画像PNGとしてエクスポートし、その後PDFに印刷する
**関連Issue**: #539, #125
---
## 2. embed.diagrams.netにアクセスできないオフライン/イントラネットデプロイ)
**問題**: イントラネット環境で「embed.diagrams.netのサーバーIPアドレスが見つかりません」と表示される
**重要**: `NEXT_PUBLIC_*` 環境変数は**ビルド時**変数であり、JSコードにバンドルされます。**実行時の設定は無効です!**
**解決策**: ビルド時に `args` で渡す必要があります:
```yaml
# docker-compose.yml
services:
drawio:
image: jgraph/drawio:latest
ports: ["8080:8080"]
next-ai-draw-io:
build:
context: .
args:
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://あなたのサーバーIP:8080/
ports: ["3000:3000"]
env_file: .env
```
**イントラネットユーザー**: 外部ネットワークでDockerfileを修正してイメージをビルドし、イントラネットに転送する
**関連Issue**: #295, #317
---
## 3. 自前モデルが思考するだけで描画しない
**問題**: ローカルデプロイのモデルQwen、LiteLLMなどが思考過程のみを出力し、図表を生成しない
**考えられる原因**:
1. **モデルが小さすぎる** - 小さいモデルはtool calling指示に正しく従うことが難しい、32B+パラメータのモデルを推奨
2. **tool callingが有効になっていない** - モデルサービスでtool use機能を設定する必要がある
**解決策**: tool callingを有効にする、例えばvLLM
```bash
python -m vllm.entrypoints.openai.api_server \
--model Qwen/Qwen3-32B \
--enable-auto-tool-choice \
--tool-call-parser hermes
```
**関連Issue**: #269, #75
---
## 4. 画像アップロード後「画像が提供されていません」と表示される
**問題**: 画像をアップロードした後、「画像が提供されていません」というエラーが表示される
**考えられる原因**:
1. モデルがビジョン機能をサポートしていないKimi K2、DeepSeek、Qwenテキストモデルなど
**解決策**:
- ビジョン対応モデルを使用GPT-5.2、Claude 4.5 Sonnet、Gemini 3 Pro
- モデル名に `vision` または `vl` が含まれているものは画像をサポート
- 最新バージョンv0.4.9+)にアップデート
**関連Issue**: #324, #421, #469

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# 管理パネル
`.env` を手動で編集する代わりに、Web 管理パネルでサーバー設定を管理できます。
## パネルの有効化
1. `ADMIN_PASSWORD` 環境変数を設定します(未設定の場合、パネルは無効になります)。
2. `/admin` にアクセスしてサインインします。
## 設定できる項目
1. **Modelsモデル** — アプリ内のモデル設定と同じ UI で、プロバイダーの API キーとモデルリストを追加します。保存するとそれらは全ユーザーが利用できるサーバーサイドモデルになり、リクエスト時に環境の `AI_MODELS_CONFIG` / `ai-models.json` とマージされます(パネルがこれらの環境ファイルを変更することはありません)。
2. **その他のセクション** — アクセスコード、生成パラメータ、機能、可観測性、クォータ。保存された設定は `data/settings.json` に書き込まれ、即座に反映されます — 再起動は不要ですLangfuse や DynamoDB など一部の設定は「再起動が必要」と表示されます)。
## 優先順位
パネルで保存された設定は環境変数を上書きし、環境変数は組み込みのデフォルト値を上書きします。保存した値を削除すると環境変数にフォールバックします。
## 注意事項
- シークレットは `data/settings.json` に平文で保存されます(ファイルモード 600。このファイルは非公開に保ってください。
- サーバーレスプラットフォームVercel、Cloudflare Workersには永続ディスクがないため、パネルは読み取り専用です — その環境では環境変数で設定してください。
- Docker 使用時は、`data/` ディレクトリが `docker-compose.yml` のボリュームで永続化されます。
- `NEXT_PUBLIC_*` 変数はビルド時に固定され、パネルでは変更できません。

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@@ -1,431 +0,0 @@
# AIプロバイダーの設定
このガイドでは、next-ai-draw-io でさまざまな AI モデルプロバイダーを設定する方法について説明します。
## クイックスタート
1. `.env.example``.env.local` にコピーします
2. 選択したプロバイダーの API キーを設定します
3. `AI_MODEL` を希望のモデルに設定します
4. `npm run dev` を実行します
## 対応プロバイダー
### Doubao (ByteDance Volcengine)
> **無料トークン**: [Volcengine ARK プラットフォーム](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)に登録すると、すべてのモデルで使える50万トークンが無料で入手できます
```bash
DOUBAO_API_KEY=your_api_key
AI_MODEL=doubao-seed-1-8-251215 # または他の Doubao モデル
```
### Google Gemini
```bash
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key
AI_MODEL=gemini-2.0-flash
```
任意のカスタムエンドポイント:
```bash
GOOGLE_BASE_URL=https://your-custom-endpoint
```
### OpenAI
```bash
OPENAI_API_KEY=your_api_key
AI_MODEL=gpt-4o
```
任意のカスタムエンドポイントOpenAI 互換サービス用):
```bash
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### AIHubMix
AIHubMix は、単一の API キーで Claude、GPT、Gemini、DeepSeek などのモデルへのアクセスを提供します。
```bash
AIHUBMIX_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250929
```
任意のカスタムエンドポイント:
```bash
AIHUBMIX_BASE_URL=https://aihubmix.com/v1
```
### Anthropic
```bash
ANTHROPIC_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250514
```
または、Bearer 認証トークンを使用することもできますOAuth スタイルのトークンを発行するゲートウェイ経由で利用する場合など)。`ANTHROPIC_AUTH_TOKEN``Authorization: Bearer <token>` ヘッダーで送信され、`ANTHROPIC_API_KEY``x-api-key` ヘッダーで送信されます。両者は排他的なので、いずれか一方のみを設定してください:
```bash
ANTHROPIC_AUTH_TOKEN=your_auth_token
AI_MODEL=claude-sonnet-4-5-20250514
```
任意のカスタムエンドポイント:
```bash
ANTHROPIC_BASE_URL=https://your-custom-endpoint
```
### DeepSeek
```bash
DEEPSEEK_API_KEY=your_api_key
AI_MODEL=deepseek-chat
```
任意のカスタムエンドポイント:
```bash
DEEPSEEK_BASE_URL=https://your-custom-endpoint
```
### SiliconFlow (OpenAI 互換)
```bash
SILICONFLOW_API_KEY=your_api_key
AI_MODEL=deepseek-ai/DeepSeek-V3 # 例; 任意の SiliconFlow モデル ID を使用
```
任意のカスタムエンドポイント(デフォルトは推奨ドメイン):
```bash
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # または https://api.siliconflow.cn/v1
```
### SGLang
```bash
SGLANG_API_KEY=your_api_key
AI_MODEL=your_model_id
```
任意のカスタムエンドポイント:
```bash
SGLANG_BASE_URL=https://your-custom-endpoint/v1
```
### Azure OpenAI
```bash
AZURE_API_KEY=your_api_key
AZURE_RESOURCE_NAME=your-resource-name # 必須: Azure リソース名
AI_MODEL=your-deployment-name
```
またはリソース名の代わりにカスタムエンドポイントを使用:
```bash
AZURE_API_KEY=your_api_key
AZURE_BASE_URL=https://your-resource.openai.azure.com # AZURE_RESOURCE_NAME の代替
AI_MODEL=your-deployment-name
```
任意の推論設定:
```bash
AZURE_REASONING_EFFORT=low # 任意: low, medium, high
AZURE_REASONING_SUMMARY=detailed # 任意: none, brief, detailed
```
### AWS Bedrock
```bash
AWS_REGION=us-west-2
AWS_ACCESS_KEY_ID=your_access_key_id
AWS_SECRET_ACCESS_KEY=your_secret_access_key
AI_MODEL=anthropic.claude-sonnet-4-5-20250514-v1:0
```
注: AWS 上IAM ロールを持つ Lambda や EC2では、認証情報は IAM ロールから自動的に取得されます。
### OpenRouter
```bash
OPENROUTER_API_KEY=your_api_key
AI_MODEL=anthropic/claude-sonnet-4
```
任意のカスタムエンドポイント:
```bash
OPENROUTER_BASE_URL=https://your-custom-endpoint
```
### Ollama (ローカル)
```bash
AI_PROVIDER=ollama
AI_MODEL=llama3.2
```
任意のカスタム URL:
```bash
OLLAMA_BASE_URL=http://localhost:11434
```
### ModelScope
```bash
MODELSCOPE_API_KEY=your_api_key
AI_MODEL=Qwen/Qwen3-235B-A22B-Instruct-2507
```
任意のカスタムエンドポイント:
```bash
MODELSCOPE_BASE_URL=https://your-custom-endpoint
```
### Vercel AI Gateway
Vercel AI Gateway は、単一の API キーで複数の AI プロバイダーへの統合アクセスを提供します。これにより認証が簡素化され、複数の API キーを管理することなくプロバイダーを切り替えることができます。
**基本的な使用法 (Vercel ホストの Gateway):**
```bash
AI_GATEWAY_API_KEY=your_gateway_api_key
AI_MODEL=openai/gpt-4o
```
**カスタム Gateway URL (ローカル開発またはセルフホスト Gateway 用):**
```bash
AI_GATEWAY_API_KEY=your_custom_api_key
AI_GATEWAY_BASE_URL=https://your-custom-gateway.com/v1/ai
AI_MODEL=openai/gpt-4o
```
モデル形式は `provider/model` 構文を使用します:
- `openai/gpt-4o` - OpenAI GPT-4o
- `anthropic/claude-sonnet-4-5` - Anthropic Claude Sonnet 4.5
- `google/gemini-2.0-flash` - Google Gemini 2.0 Flash
**設定に関する注意点:**
- `AI_GATEWAY_BASE_URL` が設定されていない場合、デフォルトの Vercel Gateway URL (`https://ai-gateway.vercel.sh/v1/ai`) が使用されます
- カスタムベース URL は以下の場合に便利です:
- カスタム Gateway インスタンスを使用したローカル開発
- セルフホスト AI Gateway デプロイメント
- エンタープライズプロキシ設定
- カスタムベース URL を使用する場合、`AI_GATEWAY_API_KEY` も指定する必要があります
[Vercel AI Gateway ダッシュボード](https://vercel.com/ai-gateway)から API キーを取得してください。
### MiniMax
MiniMax は 2 つの API 形式をサポートしています:
- **Anthropic 互換**`/anthropic` エンドポイント)— 推奨、インターリーブ思考をサポート
- **OpenAI 互換**`/v1` エンドポイント)— 標準 OpenAI チャット補完形式
```bash
MINIMAX_API_KEY=your_api_key
AI_MODEL=MiniMax-M3
```
オプション設定:
```bash
# 中国大陸版、Anthropic 互換(デフォルト)
MINIMAX_BASE_URL=https://api.minimaxi.com/anthropic
# 中国大陸版、OpenAI 互換
MINIMAX_BASE_URL=https://api.minimaxi.com/v1
# 国際版、Anthropic 互換
MINIMAX_BASE_URL=https://api.minimax.io/anthropic
# 国際版、OpenAI 互換
MINIMAX_BASE_URL=https://api.minimax.io/v1
```
### GLM (Zhipu AI)
```bash
GLM_API_KEY=your_api_key
AI_MODEL=glm-4
```
オプションのカスタムエンドポイント:
```bash
GLM_BASE_URL=https://your-custom-endpoint
```
### Qwen (Alibaba Cloud)
```bash
QWEN_API_KEY=your_api_key
AI_MODEL=qwen-turbo
```
オプションのカスタムエンドポイント:
```bash
QWEN_BASE_URL=https://your-custom-endpoint
```
### Kimi (Moonshot AI)
```bash
KIMI_API_KEY=your_api_key
AI_MODEL=kimi-latest
```
オプションのカスタムエンドポイント:
```bash
KIMI_BASE_URL=https://your-custom-endpoint
```
### Qiniu (Qiniu Cloud)
```bash
QINIU_API_KEY=your_api_key
AI_MODEL=your_model_id
```
オプションのカスタムエンドポイント:
```bash
QINIU_BASE_URL=https://your-custom-endpoint
```
### MiMo (Xiaomi)
```bash
MIMO_API_KEY=your_api_key
AI_MODEL=mimo-v2.5-pro
```
オプションのカスタムエンドポイントToken Plan 加入者は専用の Base URL を設定してください):
```bash
MIMO_BASE_URL=https://token-plan-cn.xiaomimimo.com/v1
```
## 自動検出
**1つ**のプロバイダーの API キーのみを設定した場合、システムはそのプロバイダーを自動的に検出して使用します。`AI_PROVIDER` を設定する必要はありません。
**複数**の API キーを設定する場合は、`AI_PROVIDER` を明示的に設定する必要があります:
```bash
AI_PROVIDER=google # または: openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu, mimo
```
## サーバーサイドマルチモデル設定
管理者は、ユーザーが個人のAPIキーを提供することなく利用できる複数のサーバーサイドモデルを設定できます。
### 設定方法
**方法1環境変数**(クラウドデプロイ推奨)
`AI_MODELS_CONFIG` をJSON文字列として設定
```bash
AI_MODELS_CONFIG='{"providers":[{"name":"OpenAI","provider":"openai","models":["gpt-4o"],"default":true}]}'
```
**方法2設定ファイル**
プロジェクトルートに `ai-models.json` ファイルを作成します(または `AI_MODELS_CONFIG_PATH` でパスを指定)。
**方法3`AI_MODEL` をカンマ区切りで指定**(単一プロバイダーの簡易設定)
同一プロバイダー内の複数モデルだけを公開したい場合は、`AI_MODEL` にカンマ区切りで列挙できます。最初のモデルがデフォルトになります。
```bash
AI_PROVIDER=doubao
AI_MODEL=doubao-seed-1-8-251215,doubao-seed-1-6-flash,doubao-seed-1-6-pro
```
これは等価な `ai-models.json` の簡易表記です。複数のプロバイダーや、カスタム `apiKeyEnv` / `baseUrlEnv` を使う場合は、方法1または方法2を使ってください。
### 設定例
```json
{
"providers": [
{
"name": "OpenAI Production",
"provider": "openai",
"models": ["gpt-4o", "gpt-4o-mini"],
"default": true
},
{
"name": "Custom DeepSeek",
"provider": "deepseek",
"models": ["deepseek-chat"],
"apiKeyEnv": "MY_DEEPSEEK_KEY",
"baseUrlEnv": "MY_DEEPSEEK_URL"
}
]
}
```
### フィールド説明
| フィールド | 必須 | 説明 |
|------------|------|------|
| `name` | はい | 表示名(同一プロバイダーの複数設定をサポート) |
| `provider` | はい | プロバイダータイプ(`openai`, `anthropic`, `google`, `bedrock` など) |
| `models` | はい | モデルIDのリスト |
| `default` | いいえ | `true` に設定すると、そのプロバイダーの最初のモデルがデフォルトで選択されます |
| `apiKeyEnv` | いいえ | カスタムAPIキー環境変数名デフォルトは `OPENAI_API_KEY` などの標準変数) |
| `baseUrlEnv` | いいえ | カスタムBase URL環境変数名 |
### 備考
- APIキーと認証情報は環境変数で提供します。デフォルトは標準変数名`OPENAI_API_KEY`)を使用しますが、`apiKeyEnv` でカスタム変数名を指定できます。
- `name` フィールドにより同一プロバイダーの複数設定が可能です「OpenAI Production」と「OpenAI Staging」が両方とも `provider: "openai"` を使用しつつ、異なる `apiKeyEnv` を持つ)。
- 設定が存在しない場合、アプリは `AI_PROVIDER`/`AI_MODEL` 環境変数設定にフォールバックします。
## モデル性能要件
このタスクは、厳密なフォーマット制約draw.io XMLを伴う長文テキストの生成を含むため、非常に強力なモデル性能が必要です。
**推奨モデル**:
- Claude Sonnet 4.5 / Opus 4.5
**Ollama に関する注意**: Ollama はプロバイダーとしてサポートされていますが、DeepSeek R1 や Qwen3-235B のような高性能モデルをローカルで実行していない限り、このユースケースでは一般的に実用的ではありません。
## Temperature温度設定
環境変数で Temperature を任意に設定できます:
```bash
TEMPERATURE=0 # より決定論的な出力(ダイアグラムに推奨)
```
**重要**: 以下の Temperature 設定をサポートしていないモデルでは、`TEMPERATURE` を未設定のままにしてください:
- GPT-5.1 およびその他の推論モデル
- 一部の特殊なモデル
未設定の場合、モデルはデフォルトの挙動を使用します。
## 推奨事項
- **最高の体験**: 画像からダイアグラムを生成する機能には、ビジョン画像認識をサポートするモデルGPT-4o, Claude, Geminiを使用してください
- **低コスト**: DeepSeek は競争力のある価格を提供しています
- **プライバシー**: 完全にローカルなオフライン操作には Ollama を使用してください(強力なハードウェアが必要です)
- **柔軟性**: OpenRouter は単一の API で多数のモデルへのアクセスを提供します

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@@ -1,267 +0,0 @@
# Cloudflare Workers へのデプロイ
このプロジェクトは **OpenNext アダプター** を使用して **Cloudflare Worker** としてデプロイすることができ、以下のメリットがあります:
- グローバルエッジへのデプロイ
- 超低レイテンシー
- 無料の `workers.dev` ホスティング
- R2 を介した完全な Next.js ISR サポート(オプション)
> **Windows ユーザー向けの重要な注意:** OpenNext と Wrangler は、**ネイティブ Windows 環境では完全には信頼できません**。以下の方法を推奨します:
>
> - **GitHub Codespaces** を使用する(完全に動作します)
> - または **WSL (Linux)** を使用する
>
> 純粋な Windows 環境でのビルドは、WASM ファイルパスの問題により失敗する可能性があります。
---
## 前提条件
1. **Cloudflare アカウント**(基本的なデプロイには無料プランで十分です)
2. **Node.js 18以上**
3. **Wrangler CLI** のインストール(開発依存関係で問題ありません):
```bash
npm install -D wrangler
```
4. Cloudflare へのログイン:
```bash
npx wrangler login
```
> **注意:** 支払い方法の登録が必要なのは、ISR キャッシュのために R2 を有効にする場合のみです。基本的な Workers へのデプロイは無料です。
---
## ステップ 1 — 依存関係のインストール
```bash
npm install
```
---
## ステップ 2 — 環境変数の設定
Cloudflare はローカルテスト用に別のファイルを使用します。
### 1) `.dev.vars` の作成Cloudflare ローカルおよびデプロイ用)
```bash
cp env.example .dev.vars
```
API キーと設定を入力してください。
### 2) `.env.local` も存在することを確認(通常の Next.js 開発用)
```bash
cp env.example .env.local
```
同じ値を入力してください。
---
## ステップ 3 — デプロイタイプの選択
### オプション A: R2 なしでのデプロイ(シンプル、無料)
ISR キャッシュが不要な場合は、R2 なしでデプロイできます:
**1. シンプルな `open-next.config.ts` を使用:**
```ts
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
export default defineCloudflareConfig({})
```
**2. シンプルな `wrangler.jsonc` を使用r2_buckets なし):**
```jsonc
{
"$schema": "node_modules/wrangler/config-schema.json",
"main": ".open-next/worker.js",
"name": "next-ai-draw-io-worker",
"compatibility_date": "2025-12-08",
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
"assets": {
"directory": ".open-next/assets",
"binding": "ASSETS"
},
"services": [
{
"binding": "WORKER_SELF_REFERENCE",
"service": "next-ai-draw-io-worker"
}
]
}
```
**ステップ 4** へ進んでください。
---
### オプション B: R2 ありでのデプロイ(完全な ISR サポート)
R2 を使用すると **Incremental Static Regeneration (ISR)** キャッシュが有効になります。これには Cloudflare アカウントに支払い方法の登録が必要です。
**1. R2 バケットの作成**Cloudflare ダッシュボードにて):
- **Storage & Databases → R2** へ移動
- **Create bucket** をクリック
- 名前を入力: `next-inc-cache`
**2. `open-next.config.ts` の設定:**
```ts
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
import r2IncrementalCache from "@opennextjs/cloudflare/overrides/incremental-cache/r2-incremental-cache"
export default defineCloudflareConfig({
incrementalCache: r2IncrementalCache,
})
```
**3. `wrangler.jsonc` の設定R2 あり):**
```jsonc
{
"$schema": "node_modules/wrangler/config-schema.json",
"main": ".open-next/worker.js",
"name": "next-ai-draw-io-worker",
"compatibility_date": "2025-12-08",
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
"assets": {
"directory": ".open-next/assets",
"binding": "ASSETS"
},
"r2_buckets": [
{
"binding": "NEXT_INC_CACHE_R2_BUCKET",
"bucket_name": "next-inc-cache"
}
],
"services": [
{
"binding": "WORKER_SELF_REFERENCE",
"service": "next-ai-draw-io-worker"
}
]
}
```
> **重要:** `bucket_name` は Cloudflare ダッシュボードで作成した名前と完全に一致させる必要があります。
---
## ステップ 4 — workers.dev サブドメインの登録(初回のみ)
初回デプロイの前に、workers.dev サブドメインが必要です。
**オプション 1: Cloudflare ダッシュボード経由(推奨)**
アクセス先: https://dash.cloudflare.com → Workers & Pages → Overview → Set up a subdomain
**オプション 2: デプロイ時**
`npm run deploy` を実行した際、Wrangler が以下のように尋ねてくる場合があります:
```
Would you like to register a workers.dev subdomain? (Y/n)
```
`Y` を入力し、サブドメイン名を選択してください。
> **注意:** CI/CD や非対話型環境では、このプロンプトは表示されません。事前にダッシュボードで登録してください。
---
## ステップ 5 — Cloudflare へのデプロイ
```bash
npm run deploy
```
スクリプトの処理内容:
- Next.js アプリのビルド
- OpenNext を介した Cloudflare Worker への変換
- 静的アセットのアップロード
- Worker の公開
アプリは以下の URL で利用可能になります:
```
https://<worker-name>.<your-subdomain>.workers.dev
```
---
## よくある問題と解決策
### `You need to register a workers.dev subdomain`
**原因:** アカウントに workers.dev サブドメインが登録されていません。
**解決策:** https://dash.cloudflare.com → Workers & Pages → Set up a subdomain から登録してください。
---
### `Please enable R2 through the Cloudflare Dashboard`
**原因:** `wrangler.jsonc` で R2 が設定されていますが、アカウントで R2 が有効になっていません。
**解決策:** R2 を有効にする(支払い方法が必要)か、オプション AR2 なしでデプロイ)を使用してください。
---
### `No R2 binding "NEXT_INC_CACHE_R2_BUCKET" found`
**原因:** `wrangler.jsonc``r2_buckets` がありません。
**解決策:** `r2_buckets` セクションを追加するか、オプション AR2 なし)に切り替えてください。
---
### `Can't set compatibility date in the future`
**原因:** wrangler 設定の `compatibility_date` が未来の日付に設定されています。
**解決策:** `compatibility_date` を今日またはそれ以前の日付に変更してください。
---
### Windows エラー: `resvg.wasm?module` (ENOENT)
**原因:** Windows のファイル名には `?` を含めることができませんが、wasm アセットのファイル名に `?module` が使用されているためです。
**解決策:** Linux 環境WSL、Codespaces、または CIでビルド/デプロイしてください。
---
## オプション: ローカルでのプレビュー
デプロイ前に Worker をローカルでプレビューできます:
```bash
npm run preview
```
---
## まとめ
| 機能 | R2 なし | R2 あり |
|---------|------------|---------|
| コスト | 無料 | 支払い方法が必要 |
| ISR キャッシュ | なし | あり |
| 静的ページ | あり | あり |
| API ルート | あり | あり |
| 設定の複雑さ | シンプル | 普通 |
テストやシンプルなアプリには **R2 なし** を選んでください。ISR キャッシュが必要な本番アプリには **R2 あり** を選んでください。

View File

@@ -1,29 +0,0 @@
# Dockerで実行する
ローカルで実行したいだけであれば、Dockerを使用するのが最も良い方法です。
まず、Dockerがまだインストールされていない場合はインストールしてください: [Dockerを入手](https://docs.docker.com/get-docker/)
次に、以下を実行します。
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
または、envファイルを使用します。
```bash
cp env.example .env
# .envを構成に合わせて編集します
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
ブラウザで[http://localhost:3000](http://localhost:3000)を開きます。
環境変数は、お好みのAIプロバイダー設定に置き換えてください。利用可能なオプションについては、[AIプロバイダー](./ai-providers.md)を参照してください。
> **オフラインデプロイ:** `embed.diagrams.net`がブロックされている場合は、構成オプションについて[オフラインデプロイ](./offline-deployment.md)を参照してください。

View File

@@ -1,38 +0,0 @@
# オフラインデプロイ
`embed.diagrams.net` の代わりに draw.io をセルフホストすることで、Next AI Draw.io をオフライン環境にデプロイできます。
**注:** `NEXT_PUBLIC_DRAWIO_BASE_URL` は**ビルド時**の変数です。これを変更する場合は、Docker イメージの再ビルドが必要です。
## Docker Compose のセットアップ
1. リポジトリをクローンし、`.env` ファイルに API キーを定義します。
2. `docker-compose.yml` を作成します。
```yaml
services:
drawio:
image: jgraph/drawio:latest
ports: ["8080:8080"]
next-ai-draw-io:
build:
context: .
args:
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://localhost:8080
ports: ["3000:3000"]
env_file: .env
depends_on: [drawio]
```
3. `docker compose up -d` を実行し、`http://localhost:3000` にアクセスします。
## 設定と重要な警告
**`NEXT_PUBLIC_DRAWIO_BASE_URL` は、ユーザーのブラウザからアクセスできる必要があります。**
| シナリオ | URL の値 |
|----------|-----------|
| ローカルホスト | `http://localhost:8080` |
| リモート/サーバー | `http://YOUR_SERVER_IP:8080` |
**`http://drawio:8080` のような Docker 内部のエイリアスは絶対に使用しないでください。** ブラウザはこれらを名前解決できません。

View File

@@ -1,367 +0,0 @@
# material_design
**Type:** SVG images (Google Material Icons CDN)
**URL Pattern:** `https://fonts.gstatic.com/s/i/materialicons/{icon_name}/v6/24px.svg`
## Usage
```xml
<mxCell value="label" style="image;aspect=fixed;html=1;image=https://fonts.gstatic.com/s/i/materialicons/{icon_name}/v6/24px.svg;verticalLabelPosition=bottom;verticalAlign=top;align=center;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="48" height="48" as="geometry" />
</mxCell>
```
Replace `{icon_name}` with any icon name from the list below.
## action (115)
- `account_balance`
- `account_balance_wallet`
- `account_box`
- `account_circle`
- `add_shopping_cart`
- `admin_panel_settings`
- `analytics`
- `arrow_right_alt`
- `article`
- `assessment`
- `assignment`
- `assignment_ind`
- `assignment_turned_in`
- `autorenew`
- `bookmark`
- `bookmark_border`
- `build`
- `calendar_month`
- `calendar_today`
- `card_giftcard`
- `check_circle`
- `check_circle_outline`
- `code`
- `contact_support`
- `credit_card`
- `dashboard`
- `date_range`
- `delete`
- `delete_forever`
- `delete_outline`
- `description`
- `dns`
- `done`
- `done_all`
- `done_outline`
- `drag_indicator`
- `event`
- `exit_to_app`
- `explore`
- `face`
- `fact_check`
- `favorite`
- `favorite_border`
- `feedback`
- `filter_alt`
- `fingerprint`
- `flight_takeoff`
- `grade`
- `help`
- `help_outline`
- `highlight_off`
- `history`
- `home`
- `info`
- `label`
- `language`
- `launch`
- `leaderboard`
- `lightbulb`
- `list`
- `lock`
- `lock_open`
- `login`
- `logout`
- `manage_accounts`
- `note_add`
- `open_in_full`
- `open_in_new`
- `paid`
- `payment`
- `pending`
- `pending_actions`
- `perm_identity`
- `pets`
- `power_settings_new`
- `preview`
- `print`
- `published_with_changes`
- `question_answer`
- `receipt`
- `reorder`
- `report_problem`
- `room`
- `savings`
- `schedule`
- `search`
- `settings`
- `shopping_bag`
- `shopping_basket`
- `shopping_cart`
- `star_rate`
- `stars`
- `store`
- `supervisor_account`
- `swap_horiz`
- `sync_alt`
- `task_alt`
- `thumb_up`
- `thumb_up_off_alt`
- `timeline`
- `tips_and_updates`
- `today`
- `touch_app`
- `trending_up`
- `update`
- `verified`
- `verified_user`
- `view_in_ar`
- `view_list`
- `visibility`
- `visibility_off`
- `watch_later`
- `work`
- `work_outline`
- `zoom_in`
## alert (4)
- `error`
- `error_outline`
- `warning`
- `warning_amber`
## av (12)
- `library_books`
- `mic`
- `pause`
- `play_arrow`
- `play_circle`
- `play_circle_filled`
- `play_circle_outline`
- `replay`
- `skip_next`
- `videocam`
- `volume_off`
- `volume_up`
## communication (13)
- `alternate_email`
- `business`
- `call`
- `chat`
- `chat_bubble_outline`
- `email`
- `forum`
- `list_alt`
- `location_on`
- `mail_outline`
- `phone`
- `qr_code_scanner`
- `vpn_key`
## content (27)
- `add`
- `add_box`
- `add_circle`
- `add_circle_outline`
- `block`
- `bolt`
- `calculate`
- `clear`
- `content_copy`
- `create`
- `filter_list`
- `flag`
- `how_to_reg`
- `insights`
- `inventory`
- `inventory_2`
- `link`
- `mail`
- `push_pin`
- `remove`
- `remove_circle`
- `remove_circle_outline`
- `reply`
- `save`
- `send`
- `sort`
- `undo`
## device (9)
- `dark_mode`
- `devices`
- `light_mode`
- `password`
- `restart_alt`
- `sell`
- `signal_cellular_alt`
- `summarize`
- `task`
## editor (9)
- `attach_file`
- `attach_money`
- `bar_chart`
- `checklist`
- `edit_note`
- `format_list_bulleted`
- `mode_edit`
- `monetization_on`
- `post_add`
## file (8)
- `cloud_upload`
- `download`
- `file_download`
- `file_upload`
- `folder`
- `folder_open`
- `grid_view`
- `upload_file`
## hardware (6)
- `computer`
- `keyboard_arrow_down`
- `keyboard_arrow_right`
- `phone_iphone`
- `security`
- `smartphone`
## image (16)
- `add_a_photo`
- `auto_awesome`
- `auto_stories`
- `circle`
- `collections`
- `edit`
- `image`
- `navigate_before`
- `navigate_next`
- `palette`
- `photo_camera`
- `picture_as_pdf`
- `receipt_long`
- `remove_red_eye`
- `timer`
- `tune`
## maps (11)
- `badge`
- `category`
- `directions_car`
- `local_fire_department`
- `local_offer`
- `local_shipping`
- `map`
- `menu_book`
- `place`
- `restaurant`
- `volunteer_activism`
## navigation (29)
- `apps`
- `arrow_back`
- `arrow_back_ios`
- `arrow_back_ios_new`
- `arrow_downward`
- `arrow_drop_down`
- `arrow_drop_up`
- `arrow_forward`
- `arrow_forward_ios`
- `arrow_right`
- `arrow_upward`
- `campaign`
- `cancel`
- `check`
- `chevron_left`
- `chevron_right`
- `close`
- `double_arrow`
- `east`
- `expand_less`
- `expand_more`
- `fullscreen`
- `menu`
- `menu_open`
- `more_horiz`
- `more_vert`
- `payments`
- `refresh`
- `unfold_more`
## notification (6)
- `account_tree`
- `event_available`
- `priority_high`
- `support_agent`
- `sync`
- `wifi`
## places (2)
- `apartment`
- `storefront`
## search (2)
- `feed`
- `manage_search`
## social (23)
- `construction`
- `emoji_emotions`
- `emoji_events`
- `engineering`
- `group`
- `group_add`
- `groups`
- `health_and_safety`
- `notifications`
- `notifications_active`
- `notifications_none`
- `people`
- `people_alt`
- `person`
- `person_add`
- `person_outline`
- `psychology`
- `public`
- `school`
- `share`
- `thumb_up_alt`
- `travel_explore`
- `water_drop`
## toggle (8)
- `check_box`
- `check_box_outline_blank`
- `radio_button_checked`
- `radio_button_unchecked`
- `star`
- `star_border`
- `star_outline`
- `toggle_on`
Total: 300 icons (top by popularity from 2100+ available)

View File

@@ -1,270 +0,0 @@
/**
* EdgeOne Pages Edge Function for OpenAI-compatible Chat Completions API
*
* This endpoint provides an OpenAI-compatible API that can be used with
* AI SDK's createOpenAI({ baseURL: '/api/edgeai' })
*
* Uses EdgeOne Edge AI's AI.chatCompletions() which now supports native tool calling.
*/
import { z } from "zod"
// EdgeOne Pages global AI object
declare const AI: {
chatCompletions(options: {
model: string
messages: Array<{ role: string; content: string | null }>
stream?: boolean
max_tokens?: number
temperature?: number
tools?: any
tool_choice?: any
}): Promise<ReadableStream<Uint8Array> | any>
}
const messageItemSchema = z
.object({
role: z.enum(["user", "assistant", "system", "tool", "function"]),
content: z.string().nullable().optional(),
})
.passthrough()
const messageSchema = z
.object({
messages: z.array(messageItemSchema),
model: z.string().optional(),
stream: z.boolean().optional(),
tools: z.any().optional(),
tool_choice: z.any().optional(),
functions: z.any().optional(),
function_call: z.any().optional(),
temperature: z.number().optional(),
top_p: z.number().optional(),
max_tokens: z.number().optional(),
presence_penalty: z.number().optional(),
frequency_penalty: z.number().optional(),
stop: z.union([z.string(), z.array(z.string())]).optional(),
response_format: z.any().optional(),
seed: z.number().optional(),
user: z.string().optional(),
n: z.number().int().optional(),
logit_bias: z.record(z.string(), z.number()).optional(),
parallel_tool_calls: z.boolean().optional(),
stream_options: z.any().optional(),
})
.passthrough()
// Model configuration
const ALLOWED_MODELS = [
"@tx/deepseek-ai/deepseek-v32",
"@tx/deepseek-ai/deepseek-r1-0528",
"@tx/deepseek-ai/deepseek-v3-0324",
]
const MODEL_ALIASES: Record<string, string> = {
"deepseek-v3.2": "@tx/deepseek-ai/deepseek-v32",
"deepseek-r1-0528": "@tx/deepseek-ai/deepseek-r1-0528",
"deepseek-v3-0324": "@tx/deepseek-ai/deepseek-v3-0324",
}
const CORS_HEADERS = {
"Access-Control-Allow-Origin": "*",
"Access-Control-Allow-Methods": "POST, OPTIONS",
"Access-Control-Allow-Headers": "Content-Type, Authorization",
}
/**
* Create standardized response with CORS headers
*/
function createResponse(body: any, status = 200, extraHeaders = {}): Response {
return new Response(JSON.stringify(body), {
status,
headers: {
"Content-Type": "application/json",
...CORS_HEADERS,
...extraHeaders,
},
})
}
/**
* Handle OPTIONS request for CORS preflight
*/
function handleOptionsRequest(): Response {
return new Response(null, {
headers: {
...CORS_HEADERS,
"Access-Control-Max-Age": "86400",
},
})
}
export async function onRequest({ request, env: _env }: any) {
if (request.method === "OPTIONS") {
return handleOptionsRequest()
}
request.headers.delete("accept-encoding")
try {
const json = await request.clone().json()
const parseResult = messageSchema.safeParse(json)
if (!parseResult.success) {
return createResponse(
{
error: {
message: parseResult.error.message,
type: "invalid_request_error",
},
},
400,
)
}
const { messages, model, stream, tools, tool_choice, ...extraParams } =
parseResult.data
// Validate messages
const userMessages = messages.filter(
(message) => message.role === "user",
)
if (!userMessages.length) {
return createResponse(
{
error: {
message: "No user message found",
type: "invalid_request_error",
},
},
400,
)
}
// Resolve model
const requestedModel = model || ALLOWED_MODELS[0]
const selectedModel = MODEL_ALIASES[requestedModel] || requestedModel
if (!ALLOWED_MODELS.includes(selectedModel)) {
return createResponse(
{
error: {
message: `Invalid model: ${requestedModel}.`,
type: "invalid_request_error",
},
},
429,
)
}
console.log(
`[EdgeOne] Model: ${selectedModel}, Tools: ${tools?.length || 0}, Stream: ${stream ?? true}`,
)
try {
const isStream = !!stream
// Non-streaming: return mock response for validation
// AI.chatCompletions doesn't support non-streaming mode
if (!isStream) {
const mockResponse = {
id: `chatcmpl-${Date.now()}`,
object: "chat.completion",
created: Math.floor(Date.now() / 1000),
model: selectedModel,
choices: [
{
index: 0,
message: {
role: "assistant",
content: "OK",
},
finish_reason: "stop",
},
],
usage: {
prompt_tokens: 10,
completion_tokens: 1,
total_tokens: 11,
},
}
return createResponse(mockResponse)
}
// Build AI.chatCompletions options for streaming
const aiOptions: any = {
...extraParams,
model: selectedModel,
messages,
stream: true,
}
// Add tools if provided
if (tools && tools.length > 0) {
aiOptions.tools = tools
}
if (tool_choice !== undefined) {
aiOptions.tool_choice = tool_choice
}
const aiResponse = await AI.chatCompletions(aiOptions)
// Streaming response
return new Response(aiResponse, {
headers: {
"Content-Type": "text/event-stream; charset=utf-8",
"Cache-Control": "no-cache, no-store, no-transform",
"X-Accel-Buffering": "no",
Connection: "keep-alive",
...CORS_HEADERS,
},
})
} catch (error: any) {
// Handle EdgeOne specific errors
try {
const message = JSON.parse(error.message)
if (message.code === 14020) {
return createResponse(
{
error: {
message:
"The daily public quota has been exhausted. After deployment, you can enjoy a personal daily exclusive quota.",
type: "rate_limit_error",
},
},
429,
)
}
return createResponse(
{ error: { message: error.message, type: "api_error" } },
500,
)
} catch {
// Not a JSON error message
}
console.error("[EdgeOne] AI error:", error.message)
return createResponse(
{
error: {
message: error.message || "AI service error",
type: "api_error",
},
},
500,
)
}
} catch (error: any) {
console.error("[EdgeOne] Request error:", error.message)
return createResponse(
{
error: {
message: "Request processing failed",
type: "server_error",
details: error.message,
},
},
500,
)
}
}

View File

@@ -1,5 +0,0 @@
{
"nodeFunctionsConfig": {
"maxDuration": 120
}
}

View File

@@ -10,13 +10,8 @@ directories:
afterPack: ./scripts/afterPack.cjs
files:
- from: dist-electron
to: dist-electron
filter:
- "**/*"
- from: .
filter:
- package.json
- dist-electron/**/*
- "!node_modules"
asarUnpack:
- "**/*.node"
@@ -42,11 +37,10 @@ mac:
arch:
- x64
- arm64
# Disable electron-builder's signing - we use custom ad-hoc signing in afterPack
# to properly sign nested bundles with --deep flag for bundled draw.io files
identity: null
hardenedRuntime: false
hardenedRuntime: true
gatekeeperAssess: false
entitlements: resources/entitlements.mac.plist
entitlementsInherit: resources/entitlements.mac.plist
dmg:
contents:
@@ -95,10 +89,6 @@ linux:
arch:
- x64
- arm64
- target: rpm
arch:
- x64
- arm64
# Publish configuration (optional)
publish:

View File

@@ -25,25 +25,6 @@ interface ApplyPresetResult {
env?: Record<string, string>
}
/** Proxy configuration interface */
interface ProxyConfig {
httpProxy?: string
httpsProxy?: string
}
/** Result of setting proxy */
interface SetProxyResult {
success: boolean
error?: string
devMode?: boolean
}
/** Result of setting user locale */
interface SetUserLocaleResult {
success: boolean
error?: string
}
declare global {
interface Window {
/** Main window Electron API */
@@ -64,16 +45,6 @@ declare global {
openFile: () => Promise<string | null>
/** Save data to file via save dialog */
saveFile: (data: string) => Promise<boolean>
/** Get proxy configuration */
getProxy: () => Promise<ProxyConfig>
/** Set proxy configuration (saves and restarts server) */
setProxy: (config: ProxyConfig) => Promise<SetProxyResult>
/** Get user's preferred locale */
getUserLocale: () => Promise<
"en" | "zh" | "ja" | "zh-Hant" | undefined
>
/** Set user's preferred locale */
setUserLocale: (locale: string) => Promise<SetUserLocaleResult>
}
/** Settings window Electron API */
@@ -100,10 +71,4 @@ declare global {
}
}
export type {
ApplyPresetResult,
ConfigPreset,
ProxyConfig,
SetProxyResult,
SetUserLocaleResult,
}
export { ConfigPreset, ApplyPresetResult }

View File

@@ -12,12 +12,11 @@ import {
getCurrentPresetId,
setCurrentPreset,
} from "./config-manager"
import { getMenuTranslations, getPreferredLocale } from "./menu-i18n"
import { restartNextServer } from "./next-server"
import { showSettingsWindow } from "./settings-window"
/**
* Build and set the application menu with i18n support
* Build and set the application menu
*/
export function buildAppMenu(): void {
const template = getMenuTemplate()
@@ -26,22 +25,18 @@ export function buildAppMenu(): void {
}
/**
* Rebuild the menu (call this when presets change or language changes)
* Rebuild the menu (call this when presets change)
*/
export function rebuildAppMenu(): void {
buildAppMenu()
}
/**
* Get the menu template with translations
* Get the menu template
*/
function getMenuTemplate(): MenuItemConstructorOptions[] {
const isMac = process.platform === "darwin"
// Get translations for preferred locale (saved preference or system default)
const locale = getPreferredLocale(app.getLocale())
const t = getMenuTranslations(locale)
const template: MenuItemConstructorOptions[] = []
// macOS app menu
@@ -49,10 +44,10 @@ function getMenuTemplate(): MenuItemConstructorOptions[] {
template.push({
label: app.name,
submenu: [
{ role: "about" }, // System-translated
{ role: "about" },
{ type: "separator" },
{
label: t.settings,
label: "Settings...",
accelerator: "CmdOrCtrl+,",
click: () => {
const win = BrowserWindow.getFocusedWindow()
@@ -60,26 +55,26 @@ function getMenuTemplate(): MenuItemConstructorOptions[] {
},
},
{ type: "separator" },
{ role: "services" }, // System-translated
{ role: "services" },
{ type: "separator" },
{ role: "hide" }, // System-translated
{ role: "hideOthers" }, // System-translated
{ role: "unhide" }, // System-translated
{ role: "hide" },
{ role: "hideOthers" },
{ role: "unhide" },
{ type: "separator" },
{ role: "quit" }, // System-translated
{ role: "quit" },
],
})
}
// File menu
template.push({
label: t.file,
label: "File",
submenu: [
...(isMac
? []
: [
{
label: t.settings,
label: "Settings",
accelerator: "CmdOrCtrl+,",
click: () => {
const win = BrowserWindow.getFocusedWindow()
@@ -88,76 +83,76 @@ function getMenuTemplate(): MenuItemConstructorOptions[] {
},
{ type: "separator" } as MenuItemConstructorOptions,
]),
isMac ? { role: "close" } : { role: "quit" }, // System-translated
isMac ? { role: "close" } : { role: "quit" },
],
})
// Edit menu
template.push({
label: t.edit,
label: "Edit",
submenu: [
{ role: "undo" }, // System-translated
{ role: "redo" }, // System-translated
{ role: "undo" },
{ role: "redo" },
{ type: "separator" },
{ role: "cut" }, // System-translated
{ role: "copy" }, // System-translated
{ role: "paste" }, // System-translated
{ role: "cut" },
{ role: "copy" },
{ role: "paste" },
...(isMac
? [
{
role: "pasteAndMatchStyle",
} as MenuItemConstructorOptions, // System-translated
{ role: "delete" } as MenuItemConstructorOptions, // System-translated
{ role: "selectAll" } as MenuItemConstructorOptions, // System-translated
} as MenuItemConstructorOptions,
{ role: "delete" } as MenuItemConstructorOptions,
{ role: "selectAll" } as MenuItemConstructorOptions,
]
: [
{ role: "delete" } as MenuItemConstructorOptions, // System-translated
{ role: "delete" } as MenuItemConstructorOptions,
{ type: "separator" } as MenuItemConstructorOptions,
{ role: "selectAll" } as MenuItemConstructorOptions, // System-translated
{ role: "selectAll" } as MenuItemConstructorOptions,
]),
],
})
// View menu
template.push({
label: t.view,
label: "View",
submenu: [
{ role: "reload" }, // System-translated
{ role: "forceReload" }, // System-translated
{ role: "toggleDevTools" }, // System-translated
{ role: "reload" },
{ role: "forceReload" },
{ role: "toggleDevTools" },
{ type: "separator" },
{ role: "resetZoom" }, // System-translated
{ role: "zoomIn" }, // System-translated
{ role: "zoomOut" }, // System-translated
{ role: "resetZoom" },
{ role: "zoomIn" },
{ role: "zoomOut" },
{ type: "separator" },
{ role: "togglefullscreen" }, // System-translated
{ role: "togglefullscreen" },
],
})
// Configuration menu with presets
template.push(buildConfigMenu(t))
template.push(buildConfigMenu())
// Window menu
template.push({
label: t.window,
label: "Window",
submenu: [
{ role: "minimize" }, // System-translated
{ role: "zoom" }, // System-translated
{ role: "minimize" },
{ role: "zoom" },
...(isMac
? [
{ type: "separator" } as MenuItemConstructorOptions,
{ role: "front" } as MenuItemConstructorOptions, // System-translated
{ role: "front" } as MenuItemConstructorOptions,
]
: [{ role: "close" } as MenuItemConstructorOptions]), // System-translated
: [{ role: "close" } as MenuItemConstructorOptions]),
],
})
// Help menu
template.push({
label: t.help,
label: "Help",
submenu: [
{
label: t.documentation,
label: "Documentation",
click: async () => {
await shell.openExternal(
"https://github.com/dayuanjiang/next-ai-draw-io",
@@ -165,7 +160,7 @@ function getMenuTemplate(): MenuItemConstructorOptions[] {
},
},
{
label: t.reportIssue,
label: "Report Issue",
click: async () => {
await shell.openExternal(
"https://github.com/dayuanjiang/next-ai-draw-io/issues",
@@ -181,9 +176,7 @@ function getMenuTemplate(): MenuItemConstructorOptions[] {
/**
* Build the Configuration menu with presets
*/
function buildConfigMenu(
t: ReturnType<typeof getMenuTranslations>,
): MenuItemConstructorOptions {
function buildConfigMenu(): MenuItemConstructorOptions {
const presets = getAllPresets()
const currentPresetId = getCurrentPresetId()
@@ -223,11 +216,11 @@ function buildConfigMenu(
}))
return {
label: t.configuration,
label: "Configuration",
submenu: [
...(presetItems.length > 0
? [
{ label: t.switchPreset, enabled: false },
{ label: "Switch Preset", enabled: false },
{ type: "separator" } as MenuItemConstructorOptions,
...presetItems,
{ type: "separator" } as MenuItemConstructorOptions,
@@ -236,8 +229,8 @@ function buildConfigMenu(
{
label:
presetItems.length > 0
? t.managePresets
: t.addConfigurationPreset,
? "Manage Presets..."
: "Add Configuration Preset...",
click: () => {
const win = BrowserWindow.getFocusedWindow()
showSettingsWindow(win || undefined)

View File

@@ -137,7 +137,6 @@ interface ConfigPresetsFile {
version: 1
currentPresetId: string | null
presets: ConfigPreset[]
userLocale?: "en" | "zh" | "ja" | "zh-Hant"
}
const CONFIG_FILE_NAME = "config-presets.json"
@@ -162,7 +161,6 @@ export function loadPresets(): ConfigPresetsFile {
version: 1,
currentPresetId: null,
presets: [],
userLocale: undefined,
}
}
@@ -183,7 +181,6 @@ export function loadPresets(): ConfigPresetsFile {
version: 1,
currentPresetId: null,
presets: [],
userLocale: undefined,
}
}
}
@@ -354,14 +351,10 @@ const PROVIDER_ENV_MAP: Record<string, { apiKey: string; baseUrl: string }> = {
apiKey: "SILICONFLOW_API_KEY",
baseUrl: "SILICONFLOW_BASE_URL",
},
modelscope: {
apiKey: "MODELSCOPE_API_KEY",
baseUrl: "MODELSCOPE_BASE_URL",
},
gateway: { apiKey: "AI_GATEWAY_API_KEY", baseUrl: "AI_GATEWAY_BASE_URL" },
// bedrock doesn't use API keys in the same way
// bedrock and ollama don't use API keys in the same way
bedrock: { apiKey: "", baseUrl: "" },
ollama: { apiKey: "OLLAMA_API_KEY", baseUrl: "OLLAMA_BASE_URL" },
ollama: { apiKey: "", baseUrl: "OLLAMA_BASE_URL" },
}
/**
@@ -465,23 +458,3 @@ export function getCurrentPresetEnv(): Record<string, string> {
}
return env
}
/**
* Get user's preferred locale from config
* Returns undefined if not set
*/
export function getUserLocale(): "en" | "zh" | "ja" | "zh-Hant" | undefined {
const data = loadPresets()
return data.userLocale
}
/**
* Set user's preferred locale in config
*/
export function setUserLocale(
locale: "en" | "zh" | "ja" | "zh-Hant" | null,
): void {
const data = loadPresets()
data.userLocale = locale === null ? undefined : locale
savePresets(data)
}

View File

@@ -4,7 +4,6 @@ import { getCurrentPresetEnv } from "./config-manager"
import { loadEnvFile } from "./env-loader"
import { registerIpcHandlers } from "./ipc-handlers"
import { startNextServer, stopNextServer } from "./next-server"
import { applyProxyToEnv } from "./proxy-manager"
import { registerSettingsWindowHandlers } from "./settings-window"
import { createWindow, getMainWindow } from "./window-manager"
@@ -25,9 +24,6 @@ if (!gotTheLock) {
// Load environment variables from .env files
loadEnvFile()
// Apply proxy settings from saved config
applyProxyToEnv()
// Apply saved preset environment variables (overrides .env)
const presetEnv = getCurrentPresetEnv()
for (const [key, value] of Object.entries(presetEnv)) {
@@ -94,8 +90,7 @@ if (!gotTheLock) {
if (
url.includes("diagrams.net") ||
url.includes("draw.io") ||
url.startsWith("http://localhost") ||
url.startsWith("http://127.0.0.1")
url.startsWith("http://localhost")
) {
return { action: "allow" }
}

View File

@@ -1,5 +1,4 @@
import { app, BrowserWindow, dialog, ipcMain } from "electron"
import { rebuildAppMenu } from "./app-menu"
import {
applyPresetToEnv,
type ConfigPreset,
@@ -8,18 +7,10 @@ import {
getAllPresets,
getCurrentPreset,
getCurrentPresetId,
getUserLocale,
setCurrentPreset,
setUserLocale,
updatePreset,
} from "./config-manager"
import { restartNextServer } from "./next-server"
import {
applyProxyToEnv,
getProxyConfig,
type ProxyConfig,
saveProxyConfig,
} from "./proxy-manager"
/**
* Allowed configuration keys for presets
@@ -218,68 +209,4 @@ export function registerIpcHandlers(): void {
return setCurrentPreset(id)
},
)
// ==================== Proxy Settings ====================
ipcMain.handle("get-proxy", () => {
return getProxyConfig()
})
ipcMain.handle("set-proxy", async (_event, config: ProxyConfig) => {
try {
// Save config to file
saveProxyConfig(config)
// Apply to current process environment
applyProxyToEnv()
const isDev = process.env.NODE_ENV === "development"
if (isDev) {
// In development, env vars are already applied
// Next.js dev server may need manual restart
return { success: true, devMode: true }
}
// Production: restart Next.js server to pick up new env vars
await restartNextServer()
return { success: true }
} catch (error) {
return {
success: false,
error:
error instanceof Error
? error.message
: "Failed to apply proxy settings",
}
}
})
// ==================== User Locale ====================
ipcMain.handle("get-user-locale", () => {
return getUserLocale()
})
ipcMain.handle("set-user-locale", (_event, locale: string) => {
// Validate locale is one of the supported values
if (!["en", "zh", "ja", "zh-Hant"].includes(locale)) {
return { success: false, error: "Invalid locale" }
}
try {
setUserLocale(locale as "en" | "zh" | "ja" | "zh-Hant")
// Rebuild the menu to reflect the new locale
rebuildAppMenu()
return { success: true }
} catch (error) {
return {
success: false,
error:
error instanceof Error
? error.message
: "Failed to set locale",
}
}
})
}

View File

@@ -1,211 +0,0 @@
/**
* Internationalization support for Electron menu
* Translations for menu labels that don't use Electron's built-in roles
*/
import { getUserLocale } from "./config-manager"
export type MenuLocale = "en" | "zh" | "ja" | "zh-Hant"
export interface MenuTranslations {
// App menu (macOS only)
settings: string
// File menu
file: string
// Edit menu
edit: string
// View menu
view: string
// Configuration menu
configuration: string
switchPreset: string
managePresets: string
addConfigurationPreset: string
// Window menu
window: string
// Help menu
help: string
documentation: string
reportIssue: string
}
const translations: Record<MenuLocale, MenuTranslations> = {
en: {
// App menu
settings: "Settings...",
// File menu
file: "File",
// Edit menu
edit: "Edit",
// View menu
view: "View",
// Configuration menu
configuration: "Configuration",
switchPreset: "Switch Preset",
managePresets: "Manage Presets...",
addConfigurationPreset: "Add Configuration Preset...",
// Window menu
window: "Window",
// Help menu
help: "Help",
documentation: "Documentation",
reportIssue: "Report Issue",
},
zh: {
// App menu
settings: "设置...",
// File menu
file: "文件",
// Edit menu
edit: "编辑",
// View menu
view: "查看",
// Configuration menu
configuration: "配置",
switchPreset: "切换预设",
managePresets: "管理预设...",
addConfigurationPreset: "添加配置预设...",
// Window menu
window: "窗口",
// Help menu
help: "帮助",
documentation: "文档",
reportIssue: "报告问题",
},
ja: {
// App menu
settings: "設定...",
// File menu
file: "ファイル",
// Edit menu
edit: "編集",
// View menu
view: "表示",
// Configuration menu
configuration: "設定",
switchPreset: "プリセット切り替え",
managePresets: "プリセット管理...",
addConfigurationPreset: "設定プリセットを追加...",
// Window menu
window: "ウインドウ",
// Help menu
help: "ヘルプ",
documentation: "ドキュメント",
reportIssue: "問題を報告",
},
"zh-Hant": {
// App menu
settings: "設定...",
// File menu
file: "檔案",
// Edit menu
edit: "編輯",
// View menu
view: "檢視",
// Configuration menu
configuration: "配置",
switchPreset: "切換預設",
managePresets: "管理預設...",
addConfigurationPreset: "新增配置預設...",
// Window menu
window: "視窗",
// Help menu
help: "說明",
documentation: "文件",
reportIssue: "回報問題",
},
}
/**
* Get menu translations for a given locale
* Falls back to English if locale is not supported
*/
export function getMenuTranslations(locale: string): MenuTranslations {
// Check for zh-Hant before normalizing
if (
locale === "zh-Hant" ||
locale.toLowerCase().startsWith("zh-hant") ||
locale.toLowerCase().startsWith("zh-tw") ||
locale.toLowerCase().startsWith("zh-hk")
) {
return translations["zh-Hant"]
}
// Normalize locale (e.g., "zh-CN" -> "zh", "ja-JP" -> "ja")
const normalized = locale.toLowerCase().split("-")[0]
if (normalized === "zh") return translations.zh
if (normalized === "ja") return translations.ja
return translations.en
}
/**
* Detect system locale from Electron app
* Returns one of: "en", "zh", "ja", "zh-Hant"
*/
export function detectSystemLocale(appLocale: string): MenuLocale {
const lower = appLocale.toLowerCase()
// Distinguish Traditional Chinese locales (TW, HK, Hant) from Simplified
if (
lower.startsWith("zh-hant") ||
lower.startsWith("zh-tw") ||
lower.startsWith("zh-hk")
) {
return "zh-Hant"
}
const normalized = lower.split("-")[0]
if (normalized === "zh") return "zh"
if (normalized === "ja") return "ja"
return "en"
}
/**
* Get locale from stored preference or system default
* Checks config file for user's language preference first
*/
export function getPreferredLocale(appLocale: string): MenuLocale {
// Try to get from saved preference first
const savedLocale = getUserLocale()
if (savedLocale) {
return savedLocale
}
// Fall back to system locale
return detectSystemLocale(appLocale)
}

View File

@@ -68,9 +68,7 @@ export async function startNextServer(): Promise<string> {
const env: Record<string, string> = {
NODE_ENV: "production",
PORT: String(port),
HOSTNAME: "127.0.0.1",
// Enable Node.js built-in proxy support for fetch (Node.js 24+)
NODE_USE_ENV_PROXY: "1",
HOSTNAME: "localhost",
}
// Set cache directory to a writable location (user's app data folder)
@@ -87,13 +85,6 @@ export async function startNextServer(): Promise<string> {
}
}
// Debug: log proxy-related env vars
console.log("Proxy env vars being passed to server:", {
HTTP_PROXY: env.HTTP_PROXY || env.http_proxy || "not set",
HTTPS_PROXY: env.HTTPS_PROXY || env.https_proxy || "not set",
NODE_USE_ENV_PROXY: env.NODE_USE_ENV_PROXY || "not set",
})
// Use Electron's utilityProcess API for running Node.js in background
// This is the recommended way to run Node.js code in Electron
serverProcess = utilityProcess.fork(serverPath, [], {
@@ -123,41 +114,13 @@ export async function startNextServer(): Promise<string> {
}
/**
* Stop the Next.js server process and wait for it to exit
* Stop the Next.js server process
*/
export async function stopNextServer(): Promise<void> {
export function stopNextServer(): void {
if (serverProcess) {
console.log("Stopping Next.js server...")
// Create a promise that resolves when the process exits
const exitPromise = new Promise<void>((resolve) => {
const proc = serverProcess
if (!proc) {
resolve()
return
}
const onExit = () => {
resolve()
}
proc.once("exit", onExit)
// Timeout after 5 seconds
setTimeout(() => {
proc.removeListener("exit", onExit)
resolve()
}, 5000)
})
serverProcess.kill()
serverProcess = null
// Wait for process to exit
await exitPromise
// Additional wait for OS to release port
await new Promise((resolve) => setTimeout(resolve, 500))
}
}
@@ -187,8 +150,8 @@ async function waitForServerStop(timeout = 5000): Promise<void> {
export async function restartNextServer(): Promise<string> {
console.log("Restarting Next.js server...")
// Stop the current server and wait for it to exit
await stopNextServer()
// Stop the current server
stopNextServer()
// Wait for the port to be released
await waitForServerStop()

View File

@@ -9,11 +9,9 @@ import { app } from "electron"
const PORT_CONFIG = {
// Development mode uses fixed port for hot reload compatibility
development: 6002,
// Legacy production port — tried first to preserve localStorage for existing users
legacyProduction: 61337,
// New production port below the ephemeral range (49152-65535)
// to avoid conflicts with Windows Hyper-V / ephemeral port reservations
production: 13370,
// Production mode uses fixed port (61337) to preserve localStorage
// Falls back to sequential ports if unavailable
production: 61337,
// Maximum attempts to find an available port (fallback)
maxAttempts: 100,
}
@@ -29,10 +27,7 @@ let allocatedPort: number | null = null
export function isPortAvailable(port: number): Promise<boolean> {
return new Promise((resolve) => {
const server = net.createServer()
server.once("error", (err: NodeJS.ErrnoException) => {
console.warn(`Port ${port} unavailable: ${err.code}`)
resolve(false)
})
server.once("error", () => resolve(false))
server.once("listening", () => {
server.close()
resolve(true)
@@ -44,12 +39,12 @@ export function isPortAvailable(port: number): Promise<boolean> {
/**
* Find an available port
* - In development: uses fixed port (6002)
* - In production: uses fixed port (13370) to preserve localStorage
* - In production: uses fixed port (61337) to preserve localStorage
* - Falls back to sequential ports if preferred port is unavailable
* - Last resort: lets the OS assign a port (port 0)
*
* @param reuseExisting If true, try to reuse the previously allocated port
* @returns Promise<number> The available port
* @throws Error if no available port found after max attempts
*/
export async function findAvailablePort(reuseExisting = true): Promise<number> {
const isDev = !app.isPackaged
@@ -69,16 +64,7 @@ export async function findAvailablePort(reuseExisting = true): Promise<number> {
allocatedPort = null
}
// In production, try legacy port first to preserve existing users' localStorage
if (!isDev) {
const legacyPort = PORT_CONFIG.legacyProduction
if (await isPortAvailable(legacyPort)) {
allocatedPort = legacyPort
return legacyPort
}
}
// Try preferred port
// Try preferred port first
if (await isPortAvailable(preferredPort)) {
allocatedPort = preferredPort
return preferredPort
@@ -98,23 +84,9 @@ export async function findAvailablePort(reuseExisting = true): Promise<number> {
}
}
// Last resort: let the OS pick an available port
console.warn(
"All sequential ports failed. Requesting OS-assigned port (localStorage may not persist across restarts).",
throw new Error(
`Failed to find available port after ${PORT_CONFIG.maxAttempts} attempts`,
)
const osPort = await new Promise<number>((resolve, reject) => {
const server = net.createServer()
server.once("error", reject)
server.once("listening", () => {
const addr = server.address()
const port = (addr as net.AddressInfo).port
server.close(() => resolve(port))
})
server.listen(0, "127.0.0.1")
})
allocatedPort = osPort
console.log(`OS assigned port: ${osPort}`)
return osPort
}
/**
@@ -141,5 +113,5 @@ export function getServerUrl(): string {
"No port allocated yet. Call findAvailablePort() first.",
)
}
return `http://127.0.0.1:${allocatedPort}`
return `http://localhost:${allocatedPort}`
}

View File

@@ -1,75 +0,0 @@
import { app } from "electron"
import * as fs from "fs"
import * as path from "path"
import type { ProxyConfig } from "../electron.d"
export type { ProxyConfig }
const CONFIG_FILE = "proxy-config.json"
function getConfigPath(): string {
return path.join(app.getPath("userData"), CONFIG_FILE)
}
/**
* Load proxy configuration from JSON file
*/
export function loadProxyConfig(): ProxyConfig {
try {
const configPath = getConfigPath()
if (fs.existsSync(configPath)) {
const data = fs.readFileSync(configPath, "utf-8")
return JSON.parse(data) as ProxyConfig
}
} catch (error) {
console.error("Failed to load proxy config:", error)
}
return {}
}
/**
* Save proxy configuration to JSON file
*/
export function saveProxyConfig(config: ProxyConfig): void {
try {
const configPath = getConfigPath()
fs.writeFileSync(configPath, JSON.stringify(config, null, 2), "utf-8")
} catch (error) {
console.error("Failed to save proxy config:", error)
throw error
}
}
/**
* Apply proxy configuration to process.env
* Must be called BEFORE starting the Next.js server
*/
export function applyProxyToEnv(): void {
const config = loadProxyConfig()
if (config.httpProxy) {
process.env.HTTP_PROXY = config.httpProxy
process.env.http_proxy = config.httpProxy
} else {
delete process.env.HTTP_PROXY
delete process.env.http_proxy
}
if (config.httpsProxy) {
process.env.HTTPS_PROXY = config.httpsProxy
process.env.https_proxy = config.httpsProxy
} else {
delete process.env.HTTPS_PROXY
delete process.env.https_proxy
}
}
/**
* Get current proxy configuration (from process.env)
*/
export function getProxyConfig(): ProxyConfig {
return {
httpProxy: process.env.HTTP_PROXY || process.env.http_proxy || "",
httpsProxy: process.env.HTTPS_PROXY || process.env.https_proxy || "",
}
}

View File

@@ -60,24 +60,13 @@ export function createWindow(serverUrl: string): BrowserWindow {
mainWindow.webContents.openDevTools()
}
// Override the draw.io iframe's beforeunload handler so the window can
// close after the user edits text in a shape (fixes #815). Diagrams are
// already persisted via autosave, so the prompt is unnecessary.
mainWindow.webContents.on("will-prevent-unload", (event) => {
event.preventDefault()
})
mainWindow.on("closed", () => {
mainWindow = null
})
// Handle page title updates
mainWindow.webContents.on("page-title-updated", (event, title) => {
if (
title &&
!title.includes("localhost") &&
!title.includes("127.0.0.1")
) {
if (title && !title.includes("localhost")) {
mainWindow?.setTitle(title)
} else {
event.preventDefault()

View File

@@ -21,14 +21,4 @@ contextBridge.exposeInMainWorld("electronAPI", {
// File operations
openFile: () => ipcRenderer.invoke("dialog-open-file"),
saveFile: (data: string) => ipcRenderer.invoke("dialog-save-file", data),
// Proxy settings
getProxy: () => ipcRenderer.invoke("get-proxy"),
setProxy: (config: { httpProxy?: string; httpsProxy?: string }) =>
ipcRenderer.invoke("set-proxy", config),
// User locale settings
getUserLocale: () => ipcRenderer.invoke("get-user-locale"),
setUserLocale: (locale: string) =>
ipcRenderer.invoke("set-user-locale", locale),
})

View File

@@ -55,7 +55,6 @@
<option value="openrouter">OpenRouter</option>
<option value="deepseek">DeepSeek</option>
<option value="siliconflow">SiliconFlow</option>
<option value="modelscope">ModelScope</option>
<option value="ollama">Ollama (Local)</option>
</select>
</div>

View File

@@ -288,7 +288,6 @@ function getProviderLabel(provider) {
openrouter: "OpenRouter",
deepseek: "DeepSeek",
siliconflow: "SiliconFlow",
modelscope: "ModelScope",
ollama: "Ollama",
}
return labels[provider] || provider

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