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1 Commits

Author SHA1 Message Date
Dayuan Jiang
834359cff3 fix: improve image not supported error detection for DeepSeek 2025-12-31 00:10:18 +09:00
138 changed files with 10120 additions and 22924 deletions

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@@ -20,52 +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.
## 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
},
{

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

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@@ -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: ${{ matrix.os }}
steps:
- name: Checkout code
uses: actions/checkout@v6
@@ -34,80 +37,10 @@ jobs:
node-version: 24
cache: "npm"
- name: Download draw.io static files for offline use
run: |
rm -rf public/drawio
git clone --depth 1 --branch v29.3.5 https://github.com/jgraph/drawio.git /tmp/drawio
mkdir -p public/drawio
cp -r /tmp/drawio/src/main/webapp/* public/drawio/
rm -rf public/drawio/WEB-INF
rm -rf public/drawio/META-INF
- name: Install dependencies
run: npm install
run: npm ci
- name: Build and publish
- name: Build and publish Electron app
run: npm run dist:${{ 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 --branch v29.3.5 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

@@ -1,75 +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
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

11
.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
@@ -69,9 +65,4 @@ CLAUDE.md
.spec-workflow
# edgeone
.edgeone
opencode.json
ai-models.json
# local backups
*.bak
.edgeone

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

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@@ -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

View File

@@ -19,7 +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!
> 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
@@ -40,12 +40,11 @@ https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1
- [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)
- [How It Works](#how-it-works)
- [Support \& Contact](#support--contact)
- [FAQ](#faq)
- [Star History](#star-history)
## Examples
@@ -186,7 +185,7 @@ Check out the [Tencent EdgeOne Pages documentation](https://pages.edgeone.ai/doc
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)
@@ -202,18 +201,16 @@ See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-
## 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
- DeepSeek
- SiliconFlow
- ModelScope
- SGLang
- Vercel AI Gateway
@@ -222,10 +219,6 @@ 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.
**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.
@@ -244,7 +237,7 @@ Diagrams are represented as XML that can be rendered in draw.io. The AI processe
## 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 [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!
@@ -252,10 +245,6 @@ 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 */}
@@ -78,7 +89,7 @@ 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 +98,7 @@ 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 +108,40 @@ 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 */}
@@ -294,7 +324,7 @@ 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"
@@ -309,13 +339,11 @@ 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>{" "}
@@ -329,7 +357,7 @@ 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 */}
@@ -86,7 +97,7 @@ 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 +106,7 @@ 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 +116,42 @@ 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">
@@ -292,7 +339,7 @@ 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"
@@ -307,13 +354,11 @@ 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>
@@ -327,7 +372,7 @@ 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 */}
@@ -87,7 +98,7 @@ 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 +107,7 @@ 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 +118,42 @@ 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">
@@ -311,7 +358,7 @@ 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"
@@ -326,13 +373,11 @@ 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
@@ -348,7 +393,7 @@ 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

@@ -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

@@ -1,9 +1,10 @@
"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,
@@ -11,36 +12,54 @@ import {
} from "@/components/ui/resizable"
import { useDiagram } from "@/contexts/diagram-context"
import { i18n, type Locale } from "@/lib/i18n/config"
import { isIndexedDBUsable } from "@/lib/session-storage"
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<"min" | "sketch">("min")
const [darkMode, setDarkMode] = useState(false)
const [isLoaded, setIsLoaded] = useState(false)
const [isDrawioReady, setIsDrawioReady] = useState(false)
const [isElectron, setIsElectron] = useState(false)
const [canPersist, setCanPersist] = useState(false)
const [canPersistChecked, setCanPersistChecked] = 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
@@ -73,59 +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)
}
void (async () => {
const usable = await isIndexedDBUsable()
setCanPersist(usable)
setCanPersistChecked(true)
})()
setIsLoaded(true)
}, [pathname, router])
const handleDrawioLoad = useCallback(() => {
setIsDrawioReady(true)
onDrawioLoad()
}, [onDrawioLoad])
const handleDrawioAutoSave = useCallback(
(data: { xml?: string }) => {
handleDiagramAutoSave(data)
// Only suppress modified state when persistence is available
if (canPersist) {
drawioRef.current?.status({ message: "", modified: false })
}
},
[canPersist, drawioRef, handleDiagramAutoSave],
)
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 = () => {
const handleDrawioUiChange = async () => {
await saveDiagramToStorage()
const newUi = drawioUi === "min" ? "sketch" : "min"
localStorage.setItem("drawio-theme", newUi)
setDrawioUi(newUi)
setIsDrawioReady(false)
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 = () => {
@@ -134,7 +128,7 @@ export default function Home() {
!isInitialRenderRef.current &&
newIsMobile !== isMobileRef.current
) {
setIsDrawioReady(false)
saveDiagramToStorage().catch(() => {})
resetDrawioReady()
}
isMobileRef.current = newIsMobile
@@ -145,7 +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
@@ -173,6 +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
@@ -189,52 +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 && canPersistChecked && (
<div
className={`h-full w-full ${isDrawioReady ? "" : "invisible absolute inset-0"}`}
>
<DrawIoEmbed
key={`${drawioUi}-${darkMode}-${currentLang}-${isElectron}`}
ref={drawioRef}
autosave
onAutoSave={handleDrawioAutoSave}
onExport={handleDiagramExport}
onLoad={handleDrawioLoad}
baseUrl={drawioBaseUrl}
configuration={
canPersist
? { confirmExit: false }
: undefined
}
urlParameters={{
ui: drawioUi,
spin: false,
libraries: false,
// Disable modified tracking only when persistence is available
...(canPersist && {
modified: false,
keepmodified: false,
}),
saveAndExit: false,
noSaveBtn: true,
noExitBtn: true,
dark: darkMode,
lang: currentLang,
// Enable offline mode in Electron to disable external service calls
...(isElectron && {
offline: true,
}),
}}
/>
</div>
)}
{(!isLoaded || !isDrawioReady) && (
<div className="h-full w-full bg-background flex items-center justify-center">
<span className="text-muted-foreground">
Draw.io panel is loading...
</span>
<div className="h-full rounded-xl overflow-hidden shadow-soft-lg border border-border/30">
{isLoaded ? (
<DrawIoEmbed
key={`${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>
@@ -257,23 +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}
onToggleDrawioUi={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

@@ -12,18 +12,8 @@ import fs from "fs/promises"
import { jsonrepair } from "jsonrepair"
import path from "path"
import { z } from "zod"
import {
getAIModel,
SINGLE_SYSTEM_PROVIDERS,
supportsImageInput,
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,
@@ -35,12 +25,98 @@ import {
setTraceOutput,
wrapWithObserve,
} from "@/lib/langfuse"
import { findServerModelById } from "@/lib/server-model-config"
import { getSystemPrompt } from "@/lib/system-prompts"
import { getUserIdFromRequest } from "@/lib/user-id"
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 ${MAX_FILE_SIZE / 1024 / 1024}MB limit.`,
}
}
}
}
}
return { valid: true }
}
// Helper function to check if diagram is minimal/empty
function isMinimalDiagram(xml: string): boolean {
const stripped = xml.replace(/\s/g, "")
return !stripped.includes('id="2"')
}
// Helper function to replace historical tool call XML with placeholders
// This reduces token usage and forces LLM to rely on the current diagram XML (source of truth)
// Also fixes invalid/undefined inputs from interrupted streaming
function replaceHistoricalToolInputs(messages: any[]): any[] {
return messages.map((msg) => {
if (msg.role !== "assistant" || !Array.isArray(msg.content)) {
return msg
}
const replacedContent = msg.content
.map((part: any) => {
if (part.type === "tool-call") {
const toolName = part.toolName
// Fix invalid/undefined inputs from interrupted streaming
if (
!part.input ||
typeof part.input !== "object" ||
Object.keys(part.input).length === 0
) {
// Skip tool calls with invalid inputs entirely
return null
}
if (
toolName === "display_diagram" ||
toolName === "edit_diagram"
) {
return {
...part,
input: {
placeholder:
"[XML content replaced - see current diagram XML in system context]",
},
}
}
}
return part
})
.filter(Boolean) // Remove null entries (invalid tool calls)
return { ...msg, content: replacedContent }
})
}
// Helper function to create cached stream response
function createCachedStreamResponse(xml: string): Response {
const toolCallId = `cached-${Date.now()}`
@@ -90,12 +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)
@@ -124,10 +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
@@ -178,7 +246,6 @@ async function handleChatRequest(req: Request): Promise<Response> {
// 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
@@ -190,30 +257,8 @@ async function handleChatRequest(req: Request): Promise<Response> {
// 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,
provider,
baseUrl,
apiKey: req.headers.get("x-ai-api-key"),
modelId: req.headers.get("x-ai-model"),
@@ -222,10 +267,6 @@ 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 && {
@@ -236,18 +277,9 @@ async function handleChatRequest(req: Request): Promise<Response> {
// Read minimal style preference from header
const minimalStyle = req.headers.get("x-minimal-style") === "true"
console.log(
`[Client Overrides] provider: ${clientOverrides.provider}, modelId: ${clientOverrides.modelId}`,
)
// Get AI model with optional client overrides
const {
model,
providerOptions,
headers,
modelId,
provider: resolvedProvider,
} = getAIModel(clientOverrides)
const { model, providerOptions, headers, modelId } =
getAIModel(clientOverrides)
// Check if model supports prompt caching
const shouldCache = supportsPromptCaching(modelId)
@@ -257,26 +289,12 @@ async function handleChatRequest(req: Request): Promise<Response> {
// Get the appropriate system prompt based on model (extended for Opus/Haiku 4.5)
const systemMessage = getSystemPrompt(modelId, minimalStyle)
const finalSystemMessage = customSystemMessage
? `${systemMessage}\n\n## Custom Instructions\n${customSystemMessage}`
: systemMessage
// Extract file parts (images) from the last user message
const fileParts =
lastUserMessage?.parts?.filter((part: any) => part.type === "file") ||
[]
// Check if user is sending images to a model that doesn't support them
// AI SDK silently drops unsupported parts, so we need to catch this early
if (fileParts.length > 0 && !supportsImageInput(modelId)) {
return Response.json(
{
error: `The model "${modelId}" does not support image input. Please use a vision-capable model (e.g., GPT-4o, Claude, Gemini) or remove the image.`,
},
{ status: 400 },
)
}
// User input only - XML is now in a separate cached system message
const formattedUserInput = `User input:
"""md
@@ -432,63 +450,37 @@ ${userInputText}
}
// System messages with multiple cache breakpoints for optimal caching:
// - Breakpoint 1: System instructions + custom instructions - changes when user updates custom system message
// - Breakpoint 1: Static instructions (~1500 tokens) - rarely changes
// - Breakpoint 2: Current XML context - changes per diagram, but constant within a conversation turn
// Some providers (e.g. MiniMax) don't support multiple system messages
// Merge them into a single system message for compatibility
const isSingleSystemProvider = SINGLE_SYSTEM_PROVIDERS.has(resolvedProvider)
const xmlContext = `${
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,
...(process.env.MAX_OUTPUT_TOKENS && {
maxOutputTokens: parseInt(process.env.MAX_OUTPUT_TOKENS, 10),
}),
@@ -516,13 +508,6 @@ 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=\\"$2\\"',
)
}
// Use jsonrepair to fix truncated JSON
const repairedInput = jsonrepair(inputToRepair)
@@ -702,7 +687,7 @@ Available libraries:
- Networking: cisco19, network, kubernetes, vvd, rack
- Business: bpmn, lean_mapping
- General: flowchart, basic, arrows2, infographic, sitemap
- UI/Mockups: android, material_design
- UI/Mockups: android
- Enterprise: citrix, sap, mscae, atlassian
- Engineering: fluidpower, electrical, pid, cabinets, floorplan
- Icons: webicons
@@ -747,7 +732,7 @@ Call this tool to get shape names and usage syntax for a specific library.`,
if (
(error as NodeJS.ErrnoException).code === "ENOENT"
) {
return `Library "${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

@@ -1,128 +0,0 @@
import { extract } from "@extractus/article-extractor"
import { NextResponse } from "next/server"
import TurndownService from "turndown"
import { allowPrivateUrls, 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)"
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
if (!allowPrivateUrls && isPrivateUrl(url)) {
return NextResponse.json(
{ error: "Cannot access private/internal URLs" },
{ status: 400 },
)
}
const headController = new AbortController()
const headTimeout = setTimeout(() => headController.abort(), 3000)
try {
const headResponse = await fetch(url, {
method: "HEAD",
headers: { "User-Agent": USER_AGENT },
signal: headController.signal,
})
const contentType = headResponse.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 },
)
}
} catch (err) {
console.warn(
"HEAD pre-check failed, proceeding with extraction:",
err,
)
} finally {
clearTimeout(headTimeout)
}
// Extract article content with timeout to avoid tying up server resources
const controller = new AbortController()
const timeoutId = setTimeout(() => {
controller.abort()
}, EXTRACT_TIMEOUT_MS)
let article
try {
article = await extract(url, undefined, {
headers: { "User-Agent": USER_AGENT },
signal: controller.signal,
})
} catch (err: any) {
if (err?.name === "AbortError") {
return NextResponse.json(
{ error: "Timed out while fetching URL content" },
{ status: 504 },
)
}
throw err
} finally {
clearTimeout(timeoutId)
}
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

@@ -3,18 +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 { createOpenRouter } from "@openrouter/ai-sdk-provider"
import { generateText } from "ai"
import { NextResponse } from "next/server"
import { createOllama } from "ollama-ai-provider-v2"
import { 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
@@ -24,8 +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) {
@@ -39,8 +93,6 @@ export async function POST(req: Request) {
awsAccessKeyId,
awsSecretAccessKey,
awsRegion,
// Note: Express Mode only needs vertexApiKey
vertexApiKey,
} = body
if (!provider || !modelId) {
@@ -51,7 +103,7 @@ export async function POST(req: Request) {
}
// SECURITY: Block SSRF attacks via custom baseUrl
if (baseUrl && !allowPrivateUrls && isPrivateUrl(baseUrl)) {
if (baseUrl && isPrivateUrl(baseUrl)) {
return NextResponse.json(
{ valid: false, error: "Invalid base URL" },
{ status: 400 },
@@ -69,16 +121,6 @@ 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) {
return NextResponse.json(
{ valid: false, error: "API key is required" },
@@ -116,15 +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,
@@ -169,28 +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 ${ollamaApiKey}` },
}),
const ollama = createOllama({
baseURL: baseUrl || "http://localhost:11434",
})
model = ollamaProvider(modelId)
model = ollama(modelId)
break
}
@@ -229,148 +251,13 @@ export async function POST(req: Request) {
}
case "doubao": {
// ByteDance Doubao: use DeepSeek for DeepSeek/Kimi models, OpenAI for others
const doubaoBaseUrl =
baseUrl || "https://ark.cn-beijing.volces.com/api/v3"
const lowerModelId = modelId.toLowerCase()
if (
lowerModelId.includes("deepseek") ||
lowerModelId.includes("kimi")
) {
const doubao = createDeepSeek({
apiKey,
baseURL: doubaoBaseUrl,
})
model = doubao(modelId)
} else {
const doubao = createOpenAI({
apiKey,
baseURL: doubaoBaseUrl,
})
model = doubao.chat(modelId)
}
break
}
case "modelscope": {
const baseURL =
baseUrl || "https://api-inference.modelscope.cn/v1"
const startTime = Date.now()
try {
// Initiate a streaming request (required for QwQ-32B and certain Qwen3 models)
const response = await fetch(
`${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 - OpenAI compatible
case "glm":
case "qwen":
case "kimi":
case "qiniu":
case "novita": {
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

@@ -1,5 +1,5 @@
{
"$schema": "https://biomejs.dev/schemas/2.4.4/schema.json",
"$schema": "https://biomejs.dev/schemas/2.3.8/schema.json",
"vcs": {
"enabled": true,
"clientKind": "git",

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()
@@ -122,55 +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>
<span className="px-1.5 py-0.5 text-[10px] font-semibold bg-purple-500 text-white rounded">
{dict.examples.preview}
</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

@@ -4,37 +4,27 @@ import {
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 { 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
@@ -145,24 +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
@@ -170,220 +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 = `${Math.min(textarea.scrollHeight, 200)}px`
}
}, [])
// Handle programmatic input changes (e.g., setInput("") after form submission)
useEffect(() => {
adjustTextareaHeight()
}, [input, adjustTextareaHeight])
// Focus the textarea when shouldFocus becomes true
// Use setTimeout to ensure focus happens after drawio iframe settles
useEffect(() => {
if (shouldFocus) {
const timer = setTimeout(() => {
textareaRef.current?.focus()
onFocused?.()
}, 150)
return () => clearTimeout(timer)
const handleChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
onChange(e)
adjustTextareaHeight()
}
const handleKeyDown = (e: React.KeyboardEvent) => {
if ((e.metaKey || e.ctrlKey) && e.key === "Enter") {
e.preventDefault()
const form = e.currentTarget.closest("form")
if (form && input.trim() && !isDisabled) {
form.requestSubmit()
}
}, [shouldFocus, onFocused])
}
}
const [showHistory, setShowHistory] = useState(false)
const [showUrlDialog, setShowUrlDialog] = useState(false)
const [isExtractingUrl, setIsExtractingUrl] = useState(false)
const [sendShortcut, setSendShortcut] = useState("ctrl-enter")
// Allow retry when there's an error (even if status is still "streaming" or "submitted")
const isDisabled =
(status === "streaming" || status === "submitted") && !error
const handlePaste = async (e: React.ClipboardEvent) => {
if (isDisabled) return
const adjustTextareaHeight = useCallback(() => {
const textarea = textareaRef.current
if (textarea) {
textarea.style.height = "auto"
textarea.style.height = `${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,
)
@@ -392,97 +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
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"
@@ -503,9 +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"
>
@@ -524,20 +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>
)}
<input
type="file"
ref={fileInputRef}
@@ -557,60 +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}
/>
)}
</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

@@ -7,15 +7,16 @@ import {
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"
@@ -25,12 +26,6 @@ import {
ReasoningContent,
ReasoningTrigger,
} from "@/components/ai-elements/reasoning"
import { ChatLobby } from "@/components/chat/ChatLobby"
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"
@@ -38,9 +33,18 @@ 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(
@@ -54,26 +58,76 @@ 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
@@ -84,34 +138,28 @@ 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 })
}
@@ -130,18 +178,11 @@ 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
@@ -152,13 +193,6 @@ 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
}
export function ChatMessageDisplay({
@@ -171,35 +205,14 @@ export function ChatMessageDisplay({
onRegenerate,
onEditMessage,
status = "idle",
isRestored = false,
sessions = [],
onSelectSession,
onDeleteSession,
loadedMessageIdsRef,
validationStates = {},
onImproveWithSuggestions,
}: 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>(
@@ -270,7 +283,7 @@ export function ChatMessageDisplay({
try {
await navigator.clipboard.writeText(text)
setCopyState(messageId, isToolCall, true)
} catch (_err) {
} catch (err) {
// Fallback for non-secure contexts (HTTP) or permission denied
const textarea = document.createElement("textarea")
textarea.value = text
@@ -334,6 +347,7 @@ 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
@@ -357,8 +371,14 @@ 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) {
// Only log as error and show toast if this is the final XML
console.error(
"[ChatMessageDisplay] Malformed XML detected in final output",
)
toast.error(dict.errors.malformedXml)
}
return // Skip this update
@@ -372,12 +392,18 @@ 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
}
@@ -387,12 +413,30 @@ 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 {
console.error(
"[ChatMessageDisplay] XML validation failed:",
validation.error,
)
toast.error(dict.errors.validationFailed)
}
} 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)
@@ -403,22 +447,8 @@ export function ChatMessageDisplay({
[chartXML, onDisplayChart],
)
// Track previous message count to detect bulk loads vs streaming
const prevMessageCountRef = useRef(0)
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
}
// Single message added - smooth scroll
if (messagesEndRef.current) {
messagesEndRef.current.scrollIntoView({ behavior: "smooth" })
}
}, [messages])
@@ -442,15 +472,11 @@ 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 (
@@ -640,19 +666,202 @@ 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 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) {
copyMessageToClipboard(callId, textToCopy, true)
}
}
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">
{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 ? (
<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}
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 =
@@ -672,21 +881,13 @@ 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 &&
@@ -783,9 +984,6 @@ export function ChatMessageDisplay({
isStreaming={
isStreamingReasoning
}
defaultOpen={
!isRestoredMessage
}
>
<ReasoningTrigger />
<ReasoningContent>
@@ -928,56 +1126,9 @@ 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,
)
}
@@ -1091,14 +1242,12 @@ 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}-${sectionIndex}`
const isExpanded =
expandedPdfSections[
sectionKey
pdfKey
] ??
false
const charDisplay =
@@ -1107,27 +1256,10 @@ export function ChatMessageDisplay({
1000
? `${(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"
>
@@ -1142,7 +1274,7 @@ export function ChatMessageDisplay({
prev,
) => ({
...prev,
[sectionKey]:
[pdfKey]:
!isExpanded,
}),
)
@@ -1150,10 +1282,13 @@ 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
}
@@ -1173,7 +1308,7 @@ 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

File diff suppressed because it is too large Load Diff

View File

@@ -1,274 +0,0 @@
"use client"
import {
ChevronDown,
ChevronUp,
MessageSquare,
Search,
Trash2,
X,
} from "lucide-react"
import { useState } from "react"
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"
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
dict: {
sessionHistory?: {
recentChats?: string
searchPlaceholder?: string
noResults?: string
justNow?: string
deleteTitle?: string
deleteDescription?: 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",
})
}
export function ChatLobby({
sessions,
onSelectSession,
onDeleteSession,
setInput,
setFiles,
dict,
}: ChatLobbyProps) {
// Track whether examples section is expanded (collapsed by default when there's history)
const [examplesExpanded, setExamplesExpanded] = useState(false)
// Delete confirmation dialog state
const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)
const [sessionToDelete, setSessionToDelete] = useState<string | null>(null)
// Search filter for history
const [searchQuery, setSearchQuery] = useState("")
const hasHistory = sessions.length > 0
if (!hasHistory) {
// Show full examples when no history
return <ExamplePanel setInput={setInput} setFiles={setFiles} />
}
// Show history + collapsible examples when there are sessions
return (
<div className="py-6 px-2 animate-fade-in">
{/* Recent Chats Section */}
<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 Examples Section */}
<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

@@ -1,250 +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 ? (
<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

@@ -1,8 +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} />
},
)

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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 +19,39 @@ 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",
edgeone: "tencent-cloud",
doubao: "bytedance",
}
// Group models by providerLabel (handles duplicate providers)
function groupModelsByProvider(
models: FlattenedModel[],
@@ -51,11 +61,7 @@ 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 +89,10 @@ 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 +101,9 @@ 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)
@@ -167,7 +159,7 @@ export function ModelSelector({
size="sm"
disabled={disabled}
className={cn(
"hover:bg-accent gap-1.5 h-8 px-2 transition-[padding,background-color] duration-150 ease-in-out",
"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
@@ -197,241 +189,113 @@ 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

@@ -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

@@ -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, useEffect, useState } from "react"
import { toast } from "sonner"
import { Button } from "@/components/ui/button"
import {
Dialog,
@@ -22,11 +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 { i18n, type Locale } from "@/lib/i18n/config"
import { STORAGE_KEYS } from "@/lib/storage"
// Reusable setting item component for consistent layout
function SettingItem({
@@ -57,26 +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
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
}
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 {
@@ -89,35 +82,26 @@ function getStoredAccessCodeRequired(): boolean | null {
function SettingsContent({
open,
onOpenChange,
onCloseProtectionChange,
drawioUi,
onToggleDrawioUi,
darkMode,
onToggleDarkMode,
minimalStyle = false,
onMinimalStyleChange = () => {},
vlmValidationEnabled = false,
onVlmValidationChange = () => {},
onOpenModelConfig,
customSystemMessage = "",
onCustomSystemMessageChange = () => {},
}: 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")
// Proxy settings state (Electron only)
const [httpProxy, setHttpProxy] = useState("")
const [httpsProxy, setHttpsProxy] = useState("")
const [isApplyingProxy, setIsApplyingProxy] = useState(false)
useEffect(() => {
// Only fetch if not cached in localStorage
@@ -159,20 +143,13 @@ function SettingsContent({
localStorage.getItem(STORAGE_ACCESS_CODE_KEY) || ""
setAccessCode(storedCode)
const storedSendShortcut = localStorage.getItem(
STORAGE_KEYS.sendShortcut,
const storedCloseProtection = localStorage.getItem(
STORAGE_CLOSE_PROTECTION_KEY,
)
setSendShortcut(storedSendShortcut || "ctrl-enter")
// 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])
@@ -180,13 +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
@@ -238,48 +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>
@@ -289,29 +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">
@@ -424,6 +333,25 @@ function SettingsContent({
</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 */}
<SettingItem
label={dict.settings.diagramStyle}
@@ -442,137 +370,6 @@ function SettingsContent({
</span>
</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>
{/* 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>

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

@@ -3,36 +3,28 @@
import type React from "react"
import { createContext, useContext, useEffect, useRef, useState } from "react"
import type { DrawIoEmbedRef } from "react-drawio"
import { toast } from "sonner"
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>
resolverRef: React.Ref<((value: string) => void) | null>
drawioRef: React.Ref<DrawIoEmbedRef | null>
handleDiagramExport: (data: any) => void
handleDiagramAutoSave: (data: { xml?: string }) => 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
@@ -49,51 +41,71 @@ 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)
}
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])
// Restore diagram when DrawIO becomes ready after remount (e.g., theme/UI change)
// Also restore when chartXML changes while DrawIO is ready (e.g., session loaded after iframe ready)
const lastRestoredXmlRef = useRef<string>("")
useEffect(() => {
if (!isDrawioReady || !drawioRef.current) return
// Only load if we have a real diagram and it's different from what we already loaded
if (
isRealDiagram(chartXML) &&
chartXML !== lastRestoredXmlRef.current
) {
lastRestoredXmlRef.current = chartXML
drawioRef.current.load({ xml: chartXML })
} else if (!isRealDiagram(chartXML)) {
// Reset when diagram is cleared so a future restore can re-load the same XML.
lastRestoredXmlRef.current = ""
// Reset restore flag when DrawIO is not ready (e.g., theme/UI change remounts it)
if (!isDrawioReady) {
hasDiagramRestoredRef.current = false
setCanSaveDiagram(false)
return
}
}, [isDrawioReady, chartXML])
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<{
@@ -120,63 +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)
}
}
@@ -219,13 +195,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
}
const handleDiagramExport = (data: any) => {
// Handle PNG export for VLM validation
if (pngResolverRef.current && data.data?.startsWith("data:image/png")) {
pngResolverRef.current(data.data)
pngResolverRef.current = null
return
}
// Handle save to file if requested (process raw data before extraction)
if (saveResolverRef.current.resolver) {
const format = saveResolverRef.current.format
@@ -266,16 +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)
@@ -288,7 +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")
@@ -315,6 +273,9 @@ 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
@@ -350,14 +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)
@@ -393,18 +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

@@ -11,7 +11,7 @@ services:
# - NEXT_PUBLIC_BASE_PATH=/nextaidrawio
ports: ["3000:3000"]
env_file: .env
# 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]

View File

@@ -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

@@ -19,9 +19,7 @@
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>
> 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
@@ -39,12 +37,11 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
- [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Vercel(推荐)](#部署到vercel推荐)
- [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
@@ -182,7 +179,7 @@ npm run dev
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
### 部署到Vercel(推荐)
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
@@ -197,18 +194,16 @@ npm run dev
## 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)
- [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
- Google Vertex AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
- ModelScope
- SGLang
- Vercel AI Gateway
@@ -216,10 +211,6 @@ npm run dev
📖 **[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。
**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。
@@ -238,7 +229,7 @@ npm run dev
## 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
**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!
@@ -246,10 +237,6 @@ npm run dev
- 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)

View File

@@ -13,7 +13,7 @@
### 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
> **免费 Token**:在 [火山引擎 ARK 平台](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) 注册,即可获得所有模型 50 万免费 Token
```bash
DOUBAO_API_KEY=your_api_key
@@ -152,19 +152,6 @@ 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
@@ -207,85 +194,6 @@ AI_MODEL=openai/gpt-4o
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-M2.7
```
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
```
## 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`
@@ -293,66 +201,9 @@ QINIU_BASE_URL=https://your-custom-endpoint
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, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
AI_PROVIDER=google # 或openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
```
## 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)。
### 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。

View File

@@ -1,78 +0,0 @@
# 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

View File

@@ -13,7 +13,7 @@ This guide explains how to configure different AI model providers for next-ai-dr
### 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!
> **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
@@ -33,21 +33,6 @@ Optional custom endpoint:
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
@@ -173,19 +158,6 @@ Optional custom URL:
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.
@@ -222,85 +194,6 @@ Model format uses `provider/model` syntax:
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-M2.7
```
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
```
## 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`.
@@ -308,66 +201,9 @@ If you only configure **one** provider's API key, the system will automatically
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, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
AI_PROVIDER=google # or: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
```
## 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).
### 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).

View File

@@ -22,27 +22,6 @@ cp env.example .env
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.

View File

@@ -1,78 +0,0 @@
# 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

View File

@@ -19,7 +19,7 @@
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
@@ -37,12 +37,11 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
- [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)
- [Vercelへのデプロイ(推奨)](#vercelへのデプロイ推奨)
- [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)
- [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
@@ -181,7 +180,7 @@ npm run dev
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
### Vercelへのデプロイ(推奨)
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
@@ -196,18 +195,16 @@ 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
## 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
- DeepSeek
- SiliconFlow
- ModelScope
- SGLang
- Vercel AI Gateway
@@ -215,10 +212,6 @@ AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタム
📖 **[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
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。
**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。
@@ -237,7 +230,7 @@ AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタム
## 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!
@@ -245,10 +238,6 @@ 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)

View File

@@ -13,7 +13,7 @@
### 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
> **無料トークン**: [Volcengine ARK プラットフォーム](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
@@ -158,19 +158,6 @@ AI_MODEL=llama3.2
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。
@@ -207,85 +194,6 @@ AI_MODEL=openai/gpt-4o
[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-M2.7
```
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
```
## 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。
@@ -293,66 +201,9 @@ QINIU_BASE_URL=https://your-custom-endpoint
**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, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
AI_PROVIDER=google # または: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
```
## 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)。
### 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。

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

@@ -99,7 +99,7 @@ function handleOptionsRequest(): Response {
})
}
export async function onRequest({ request, env: _env }: any) {
export async function onRequest({ request, env }: any) {
if (request.method === "OPTIONS") {
return handleOptionsRequest()
}

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:

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 {
ConfigPreset,
ApplyPresetResult,
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

@@ -66,11 +66,7 @@ export function createWindow(serverUrl: string): BrowserWindow {
// 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

View File

@@ -1,6 +1,6 @@
# AI Provider Configuration
# AI_PROVIDER: Which provider to use
# Options: bedrock, openai, anthropic, google, vertexai, azure, ollama, openrouter, deepseek, siliconflow, gateway, novita
# Options: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, gateway
# Default: bedrock
AI_PROVIDER=bedrock
@@ -40,14 +40,6 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
# GOOGLE_THINKING_BUDGET=8192 # Optional: Gemini 2.5 thinking budget in tokens (for more/less thinking)
# GOOGLE_THINKING_LEVEL=high # Optional: Gemini 3 thinking level (low/high)
# Google Vertex AI Configuration (Enterprise GCP)
# For enterprise users needing data residency, VPC Service Controls, or GCP integration
# GOOGLE_VERTEX_API_KEY= # Required: Express Mode API key
# GOOGLE_VERTEX_BASE_URL=https://... # Optional: Custom endpoint URL
# Note: Gemini 2.5/3 models automatically enable reasoning display (includeThoughts: true)
# GOOGLE_VERTEX_THINKING_BUDGET=8192 # Optional: Gemini 2.5 thinking budget in tokens (1024-100000)
# GOOGLE_VERTEX_THINKING_LEVEL=high # Optional: Gemini 3 thinking level (minimal/low/medium/high)
# Azure OpenAI Configuration
# Configure endpoint using ONE of these methods:
# 1. AZURE_RESOURCE_NAME - SDK constructs: https://{name}.openai.azure.com/openai/v1{path}
@@ -59,9 +51,8 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
# AZURE_REASONING_EFFORT=low # Optional: Azure reasoning effort (low, medium, high)
# AZURE_REASONING_SUMMARY=detailed
# Ollama Configuration (Local or Cloud)
# OLLAMA_BASE_URL=https://ollama.com/api # Optional, defaults to Ollama Cloud
# OLLAMA_API_KEY=your-ollama-cloud-api-key # Optional: For Ollama Cloud or authenticated remote instances
# Ollama (Local) Configuration
# OLLAMA_BASE_URL=http://localhost:11434/api # Optional, defaults to localhost
# OLLAMA_ENABLE_THINKING=true # Optional: Enable thinking for models that support it (e.g., qwen3)
# OpenRouter Configuration
@@ -81,10 +72,6 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
# SGLANG_API_KEY=your-sglang-api-key
# SGLANG_BASE_URL=http://127.0.0.1:8000/v1 # Your SGLang endpoint
# ModelScope Configuration
# MODELSCOPE_API_KEY=ms-...
# MODELSCOPE_BASE_URL=https://api-inference.modelscope.cn/v1 # Optional: Custom endpoint
# ByteDance Doubao Configuration (via Volcengine)
# DOUBAO_API_KEY=your-doubao-api-key
# DOUBAO_BASE_URL=https://ark.cn-beijing.volces.com/api/v3 # ByteDance Volcengine endpoint
@@ -102,11 +89,6 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
# LANGFUSE_SECRET_KEY=sk-lf-...
# LANGFUSE_BASEURL=https://cloud.langfuse.com # EU region, use https://us.cloud.langfuse.com for US
# Optional server-side multi-model configuration
# If set, points to a JSON file with server-provided models (see README for schema).
# Default: ./ai-models.json in project root
# AI_MODELS_CONFIG_PATH=/path/to/ai-models.json
# Temperature (Optional)
# Controls randomness in AI responses. Lower = more deterministic.
# Leave unset for models that don't support temperature (e.g., GPT-5.1 reasoning models)
@@ -130,45 +112,3 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
# Enabled by default. Set to "false" to disable.
# ENABLE_PDF_INPUT=true
# NEXT_PUBLIC_MAX_EXTRACTED_CHARS=150000 # Max characters for PDF/text extraction (default: 150000)
# Security Settings (Optional)
# Allow private/internal URLs for reverse proxy setups (default: true)
# Set to "false" to block private IPs, localhost, and internal hostnames
# ALLOW_PRIVATE_URLS=false
# Self-hosted deployment (Optional)
# Self-hosted users may implement custom quota-management solutions,
# which triggers the client UI to display messages suggesting self-hosting or sponsorship.
# This switch allows self-hosted users to provide custom messages in response to a 429 code,
# in messageTokenSelfHosted, messageApiSelfHosted, and tipSelfHosted translation strings.
# NEXT_PUBLIC_SELFHOSTED=true
# Minimax Configuration (Optional)
# Get your API key from: https://platform.minimaxi.com/docs/guides/models-intro
# MINIMAX_API_KEY=your_minimax_api_key
# MINIMAX_BASE_URL=https://api.minimaxi.com/anthropic # Optional, default (China mainland)
# GLM Configuration (Optional)
# Get your API key from: https://open.bigmodel.cn/dev/api
# GLM_API_KEY=your_glm_api_key
# GLM_BASE_URL=https://open.bigmodel.cn/api/paas/v4 # Optional, default
# Qwen Configuration (Optional)
# Get your API key from: https://www.aliyun.com/product/bailian
# QWEN_API_KEY=your_qwen_api_key
# QWEN_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1 # Optional, default
# Kimi Configuration (Optional)
# Get your API key from: https://platform.moonshot.cn/
# KIMI_API_KEY=your_kimi_api_key
# KIMI_BASE_URL=https://api.moonshot.cn/v1 # Optional, default
# Qiniu Configuration (Optional)
# Get your API key from: https://www.qiniu.com/ai/models
# QINIU_API_KEY=your_qiniu_api_key
# QINIU_BASE_URL=https://api.qnaigc.com/v1 # Optional, default
# Novita AI Configuration (Optional)
# Get your API key from: https://novita.ai/dashboard/key
# NOVITA_API_KEY=your_novita_api_key
# NOVITA_BASE_URL=https://api.novita.ai/openai # Optional, default

View File

@@ -1,12 +1,4 @@
import type { MutableRefObject } from "react"
import { useRef } from "react"
import type { DiagramOperation } from "@/components/chat/types"
import type {
ValidationState,
ValidationStatus,
} from "@/components/chat/ValidationCard"
import type { ValidationResult } from "@/lib/diagram-validator"
import { formatValidationFeedback } from "@/lib/diagram-validator"
import { isMxCellXmlComplete, wrapWithMxFile } from "@/lib/utils"
const DEBUG = process.env.NODE_ENV === "development"
@@ -37,13 +29,11 @@ type AddToolOutputParams = AddToolOutputSuccess | AddToolOutputError
type AddToolOutputFn = (params: AddToolOutputParams) => void
const MAX_VALIDATION_RETRIES = 3
// Type for the validation function passed from useValidateDiagram hook
type ValidateDiagramFn = (
imageData: string,
sessionId?: string,
) => Promise<ValidationResult>
interface DiagramOperation {
operation: "update" | "add" | "delete"
cell_id: string
new_xml?: string
}
interface UseDiagramToolHandlersParams {
partialXmlRef: MutableRefObject<string>
@@ -52,14 +42,6 @@ interface UseDiagramToolHandlersParams {
onDisplayChart: (xml: string, skipValidation?: boolean) => string | null
onFetchChart: (saveToHistory?: boolean) => Promise<string>
onExport: () => void
captureValidationPng?: () => Promise<string | null>
validateDiagram?: ValidateDiagramFn
enableVlmValidation?: boolean
sessionId?: string
onValidationStateChange?: (
toolCallId: string,
state: ValidationState,
) => void
}
/**
@@ -76,34 +58,7 @@ export function useDiagramToolHandlers({
onDisplayChart,
onFetchChart,
onExport,
captureValidationPng,
validateDiagram,
enableVlmValidation = true,
sessionId,
onValidationStateChange,
}: UseDiagramToolHandlersParams) {
// Track validation retry count per tool call
const validationRetryCountRef = useRef<Map<string, number>>(new Map())
// Helper to update validation state
const updateValidationState = (
toolCallId: string,
status: ValidationStatus,
options?: {
attempt?: number
maxAttempts?: number
result?: ValidationResult
error?: string
imageData?: string
},
) => {
if (onValidationStateChange) {
onValidationStateChange(toolCallId, {
status,
...options,
})
}
}
const handleToolCall = async (
{ toolCall }: { toolCall: ToolCall },
addToolOutput: AddToolOutputFn,
@@ -205,159 +160,7 @@ ${finalXml}
// Success - diagram will be rendered by chat-message-display
if (DEBUG) {
console.log(
"[display_diagram] Success! Checking if VLM validation is enabled...",
)
}
// VLM validation after successful display
if (
enableVlmValidation &&
captureValidationPng &&
validateDiagram
) {
let capturedPngData: string | null = null
try {
// Notify UI that we're starting capture
updateValidationState(toolCall.toolCallId, "capturing")
// Small delay (100ms) to allow diagram rendering to complete before capture.
// This is a best-effort heuristic and may need adjustment for complex diagrams or slower devices.
await new Promise((resolve) => setTimeout(resolve, 100))
capturedPngData = await captureValidationPng()
if (capturedPngData) {
if (DEBUG) {
console.log(
"[display_diagram] Captured PNG for validation",
)
}
const retryCount =
validationRetryCountRef.current.get(
toolCall.toolCallId,
) || 0
// Notify UI that we're validating (include the image)
updateValidationState(
toolCall.toolCallId,
"validating",
{
attempt: retryCount + 1,
maxAttempts: MAX_VALIDATION_RETRIES,
imageData: capturedPngData,
},
)
const result = await validateDiagram(
capturedPngData,
sessionId,
)
if (!result.valid) {
if (retryCount < MAX_VALIDATION_RETRIES) {
validationRetryCountRef.current.set(
toolCall.toolCallId,
retryCount + 1,
)
const feedback =
formatValidationFeedback(result)
if (DEBUG) {
console.log(
`[display_diagram] Validation failed (attempt ${retryCount + 1}/${MAX_VALIDATION_RETRIES}):`,
result.issues,
)
}
// Notify UI of validation failure (include the image)
updateValidationState(
toolCall.toolCallId,
"failed",
{
attempt: retryCount + 1,
maxAttempts: MAX_VALIDATION_RETRIES,
result,
imageData: capturedPngData,
},
)
addToolOutput({
tool: "display_diagram",
toolCallId: toolCall.toolCallId,
state: "output-error",
errorText: `[Validation attempt ${retryCount + 1}/${MAX_VALIDATION_RETRIES}]\n${feedback}`,
})
return
} else {
// Max retries reached - accept the diagram with warning
if (DEBUG) {
console.log(
"[display_diagram] Max validation retries reached, accepting diagram",
)
}
validationRetryCountRef.current.delete(
toolCall.toolCallId,
)
// Notify UI that we're accepting with issues (include the image)
updateValidationState(
toolCall.toolCallId,
"skipped",
{ result, imageData: capturedPngData },
)
addToolOutput({
tool: "display_diagram",
toolCallId: toolCall.toolCallId,
output: "Diagram displayed (validation issues noted but max retries reached).",
})
return
}
} else {
// Validation passed - clean up retry count
validationRetryCountRef.current.delete(
toolCall.toolCallId,
)
if (DEBUG) {
console.log(
"[display_diagram] Validation passed!",
)
}
// Notify UI of success (include the image)
// Use "success_with_warnings" if valid but has issues
const hasWarnings = result.issues.length > 0
updateValidationState(
toolCall.toolCallId,
hasWarnings
? "success_with_warnings"
: "success",
{ result, imageData: capturedPngData },
)
}
} else {
// PNG capture failed - skip validation
updateValidationState(toolCall.toolCallId, "skipped")
}
} catch (error) {
// VLM validation error - log but don't block the user
console.warn(
"[display_diagram] VLM validation error:",
error,
)
updateValidationState(toolCall.toolCallId, "error", {
error:
error instanceof Error
? error.message
: "Validation failed",
imageData: capturedPngData || undefined,
})
}
}
if (DEBUG) {
console.log(
"[display_diagram] Adding tool output with state: output-available",
"[display_diagram] Success! Adding tool output with state: output-available",
)
}
addToolOutput({

View File

@@ -1,8 +1,6 @@
"use client"
import { useCallback, useEffect, useState } from "react"
import { getApiEndpoint } from "@/lib/base-path"
import type { FlattenedServerModel } from "@/lib/server-model-config"
import { STORAGE_KEYS } from "@/lib/storage"
import {
createEmptyConfig,
@@ -13,6 +11,7 @@ import {
flattenModels,
type ModelConfig,
type MultiModelConfig,
PROVIDER_INFO,
type ProviderConfig,
type ProviderName,
} from "@/lib/types/model-config"
@@ -134,56 +133,14 @@ export interface UseModelConfigReturn {
export function useModelConfig(): UseModelConfigReturn {
const [config, setConfig] = useState<MultiModelConfig>(createEmptyConfig)
const [isLoaded, setIsLoaded] = useState(false)
const [serverModels, setServerModels] = useState<FlattenedServerModel[]>([])
const [serverLoaded, setServerLoaded] = useState(false)
// Load client config on mount
// Load config on mount
useEffect(() => {
const loaded = loadConfig()
setConfig(loaded)
setIsLoaded(true)
}, [])
// Load server models on mount (if any)
useEffect(() => {
if (typeof window === "undefined") return
fetch(getApiEndpoint("/api/server-models"))
.then((res) => {
if (!res.ok) {
console.error(
"Failed to load server models:",
res.status,
res.statusText,
)
throw new Error(`Request failed with status ${res.status}`)
}
return res.json()
})
.then((data) => {
const raw: FlattenedServerModel[] = data?.models || []
setServerModels(raw)
setServerLoaded(true)
// Auto-select default server model if no model is currently selected
setConfig((prev) => {
if (!prev.selectedModelId && raw.length > 0) {
const defaultModel = raw.find((m) => m.isDefault)
if (defaultModel) {
return { ...prev, selectedModelId: defaultModel.id }
}
// If no default marked, use first server model
return { ...prev, selectedModelId: raw[0].id }
}
return prev
})
})
.catch((error) => {
console.error("Error while loading server models:", error)
setServerLoaded(true)
})
}, [])
// Save config whenever it changes (after initial load)
useEffect(() => {
if (isLoaded) {
@@ -192,33 +149,9 @@ export function useModelConfig(): UseModelConfigReturn {
}, [config, isLoaded])
// Derived state
const userModels = flattenModels(config)
const models: FlattenedModel[] = [
// Server models (read-only, credentials from env)
...serverModels.map((m) => ({
id: m.id,
modelId: m.modelId,
provider: m.provider,
providerLabel: `Server · ${m.providerLabel}`,
apiKey: "",
baseUrl: undefined,
awsAccessKeyId: undefined,
awsSecretAccessKey: undefined,
awsRegion: undefined,
awsSessionToken: undefined,
validated: true,
source: "server" as const,
isDefault: m.isDefault,
apiKeyEnv: m.apiKeyEnv,
baseUrlEnv: m.baseUrlEnv,
})),
// User models from local configuration
...userModels,
]
const models = flattenModels(config)
const selectedModel = config.selectedModelId
? models.find((m) => m.id === config.selectedModelId)
? findModelById(config, config.selectedModelId)
: undefined
// Actions
@@ -350,7 +283,7 @@ export function useModelConfig(): UseModelConfigReturn {
return {
config,
isLoaded: isLoaded && serverLoaded,
isLoaded,
models,
selectedModel,
selectedModelId: config.selectedModelId,
@@ -382,10 +315,6 @@ export function getSelectedAIConfig(): {
awsSecretAccessKey: string
awsRegion: string
awsSessionToken: string
// Selected model ID (for server model lookup)
selectedModelId: string
// Vertex AI credentials (Express Mode)
vertexApiKey: string
} {
const empty = {
accessCode: "",
@@ -397,8 +326,6 @@ export function getSelectedAIConfig(): {
awsSecretAccessKey: "",
awsRegion: "",
awsSessionToken: "",
selectedModelId: "",
vertexApiKey: "",
}
if (typeof window === "undefined") return empty
@@ -421,8 +348,6 @@ export function getSelectedAIConfig(): {
awsSecretAccessKey: "",
awsRegion: "",
awsSessionToken: "",
selectedModelId: "",
vertexApiKey: "",
}
}
@@ -433,32 +358,12 @@ export function getSelectedAIConfig(): {
return { ...empty, accessCode }
}
// No selected model = use server default (AI_PROVIDER/AI_MODEL/env auto-detect)
// No selected model = use server default
if (!config.selectedModelId) {
return { ...empty, accessCode }
}
// Server-side model selection (id = "server:<name-slug>:<modelId>")
// Provider is resolved server-side via findServerModelById()
if (config.selectedModelId.startsWith("server:")) {
const parts = config.selectedModelId.split(":")
const nameSlug = parts[1] || ""
const modelId = parts.slice(2).join(":") // Preserve Bedrock-style IDs
return {
...empty,
accessCode,
// Note: nameSlug is NOT the provider, but we send it for backwards compat
// Server uses selectedModelId to lookup the actual provider
aiProvider: nameSlug,
aiBaseUrl: "",
aiApiKey: "",
aiModel: modelId,
selectedModelId: config.selectedModelId,
}
}
// Find selected user-defined model
// Find selected model
const model = findModelById(config, config.selectedModelId)
if (!model) {
return { ...empty, accessCode }
@@ -475,8 +380,5 @@ export function getSelectedAIConfig(): {
awsSecretAccessKey: model.awsSecretAccessKey || "",
awsRegion: model.awsRegion || "",
awsSessionToken: model.awsSessionToken || "",
selectedModelId: config.selectedModelId || "",
// Vertex AI credentials (Express Mode)
vertexApiKey: model.vertexApiKey || "",
}
}

View File

@@ -1,322 +0,0 @@
"use client"
import { useCallback, useEffect, useRef, useState } from "react"
import {
type ChatSession,
createEmptySession,
deleteSession as deleteSessionFromDB,
enforceSessionLimit,
extractTitle,
getAllSessionMetadata,
getSession,
isIndexedDBAvailable,
migrateFromLocalStorage,
type SessionMetadata,
type StoredMessage,
saveSession,
} from "@/lib/session-storage"
export interface SessionData {
messages: StoredMessage[]
xmlSnapshots: [number, string][]
diagramXml: string
thumbnailDataUrl?: string
diagramHistory?: { svg: string; xml: string }[]
}
export interface UseSessionManagerReturn {
// State
sessions: SessionMetadata[]
currentSessionId: string | null
currentSession: ChatSession | null
isLoading: boolean
isAvailable: boolean
// Actions
switchSession: (id: string) => Promise<SessionData | null>
deleteSession: (id: string) => Promise<{ wasCurrentSession: boolean }>
// forSessionId: optional session ID to verify save targets correct session (prevents stale debounce writes)
saveCurrentSession: (
data: SessionData,
forSessionId?: string | null,
) => Promise<void>
refreshSessions: () => Promise<void>
clearCurrentSession: () => void
}
interface UseSessionManagerOptions {
/** Session ID from URL param - if provided, load this session; if null, start blank */
initialSessionId?: string | null
}
export function useSessionManager(
options: UseSessionManagerOptions = {},
): UseSessionManagerReturn {
const { initialSessionId } = options
const [sessions, setSessions] = useState<SessionMetadata[]>([])
const [currentSessionId, setCurrentSessionId] = useState<string | null>(
null,
)
const [currentSession, setCurrentSession] = useState<ChatSession | null>(
null,
)
const [isLoading, setIsLoading] = useState(true)
const [isAvailable, setIsAvailable] = useState(false)
const isInitializedRef = useRef(false)
// Sequence guard for URL changes - prevents out-of-order async resolution
const urlChangeSequenceRef = useRef(0)
// Load sessions list
const refreshSessions = useCallback(async () => {
if (!isIndexedDBAvailable()) return
try {
const metadata = await getAllSessionMetadata()
setSessions(metadata)
} catch (error) {
console.error("Failed to refresh sessions:", error)
}
}, [])
// Initialize on mount
useEffect(() => {
if (isInitializedRef.current) return
isInitializedRef.current = true
async function init() {
setIsLoading(true)
if (!isIndexedDBAvailable()) {
setIsAvailable(false)
setIsLoading(false)
return
}
setIsAvailable(true)
try {
// Run migration first (one-time conversion from localStorage)
await migrateFromLocalStorage()
// Load sessions list
const metadata = await getAllSessionMetadata()
setSessions(metadata)
// Only load a session if initialSessionId is provided (from URL param)
if (initialSessionId) {
const session = await getSession(initialSessionId)
if (session) {
setCurrentSession(session)
setCurrentSessionId(session.id)
}
// If session not found, stay in blank state (URL has invalid session ID)
}
// If no initialSessionId, start with blank state (no auto-restore)
} catch (error) {
console.error("Failed to initialize session manager:", error)
} finally {
setIsLoading(false)
}
}
init()
}, [initialSessionId])
// Handle URL session ID changes after initialization
// Note: intentionally NOT including currentSessionId in deps to avoid race conditions
// when clearCurrentSession() is called before URL updates
useEffect(() => {
if (!isInitializedRef.current) return // Wait for initial load
if (!isAvailable) return
// Increment sequence to invalidate any pending async operations
urlChangeSequenceRef.current++
const currentSequence = urlChangeSequenceRef.current
async function handleSessionIdChange() {
if (initialSessionId) {
// URL has session ID - load it
const session = await getSession(initialSessionId)
// Check if this request is still the latest (sequence guard)
// If not, a newer URL change happened while we were loading
if (currentSequence !== urlChangeSequenceRef.current) {
return
}
if (session) {
// Only update if the session is different from current
setCurrentSessionId((current) => {
if (current !== session.id) {
setCurrentSession(session)
return session.id
}
return current
})
}
}
// Removed: else clause that clears session
// Clearing is now handled explicitly by clearCurrentSession()
// This prevents race conditions when URL update is async
}
handleSessionIdChange()
}, [initialSessionId, isAvailable])
// Refresh sessions on window focus (multi-tab sync)
useEffect(() => {
const handleFocus = () => {
refreshSessions()
}
window.addEventListener("focus", handleFocus)
return () => window.removeEventListener("focus", handleFocus)
}, [refreshSessions])
// Switch to a different session
const switchSession = useCallback(
async (id: string): Promise<SessionData | null> => {
if (id === currentSessionId) return null
// Save current session first if it has messages
if (currentSession && currentSession.messages.length > 0) {
await saveSession(currentSession)
}
// Load the target session
const session = await getSession(id)
if (!session) {
console.error("Session not found:", id)
return null
}
// Update state
setCurrentSession(session)
setCurrentSessionId(session.id)
return {
messages: session.messages,
xmlSnapshots: session.xmlSnapshots,
diagramXml: session.diagramXml,
thumbnailDataUrl: session.thumbnailDataUrl,
diagramHistory: session.diagramHistory,
}
},
[currentSessionId, currentSession],
)
// Delete a session
const deleteSession = useCallback(
async (id: string): Promise<{ wasCurrentSession: boolean }> => {
const wasCurrentSession = id === currentSessionId
await deleteSessionFromDB(id)
// If deleting current session, clear state (caller will show new empty session)
if (wasCurrentSession) {
setCurrentSession(null)
setCurrentSessionId(null)
}
await refreshSessions()
return { wasCurrentSession }
},
[currentSessionId, refreshSessions],
)
// Save current session data (debounced externally by caller)
// forSessionId: if provided, verify save targets correct session (prevents stale debounce writes)
const saveCurrentSession = useCallback(
async (
data: SessionData,
forSessionId?: string | null,
): Promise<void> => {
// If forSessionId is provided, verify it matches current session
// This prevents stale debounced saves from overwriting a newly switched session
if (
forSessionId !== undefined &&
forSessionId !== currentSessionId
) {
return
}
if (!currentSession) {
// Create a new session if none exists
const newSession: ChatSession = {
...createEmptySession(),
messages: data.messages,
xmlSnapshots: data.xmlSnapshots,
diagramXml: data.diagramXml,
thumbnailDataUrl: data.thumbnailDataUrl,
diagramHistory: data.diagramHistory,
title: extractTitle(data.messages),
}
await saveSession(newSession)
await enforceSessionLimit()
setCurrentSession(newSession)
setCurrentSessionId(newSession.id)
await refreshSessions()
return
}
// Update existing session
const updatedSession: ChatSession = {
...currentSession,
messages: data.messages,
xmlSnapshots: data.xmlSnapshots,
diagramXml: data.diagramXml,
thumbnailDataUrl:
data.thumbnailDataUrl ?? currentSession.thumbnailDataUrl,
diagramHistory:
data.diagramHistory ?? currentSession.diagramHistory,
updatedAt: Date.now(),
// Update title if it's still default and we have messages
title:
currentSession.title === "New Chat" &&
data.messages.length > 0
? extractTitle(data.messages)
: currentSession.title,
}
await saveSession(updatedSession)
setCurrentSession(updatedSession)
// Update sessions list metadata
setSessions((prev) =>
prev.map((s) =>
s.id === updatedSession.id
? {
...s,
title: updatedSession.title,
updatedAt: updatedSession.updatedAt,
messageCount: updatedSession.messages.length,
hasDiagram:
!!updatedSession.diagramXml &&
updatedSession.diagramXml.trim().length > 0,
thumbnailDataUrl: updatedSession.thumbnailDataUrl,
}
: s,
),
)
},
[currentSession, currentSessionId, refreshSessions],
)
// Clear current session state (for starting fresh without loading another session)
const clearCurrentSession = useCallback(() => {
setCurrentSession(null)
setCurrentSessionId(null)
}, [])
return {
sessions,
currentSessionId,
currentSession,
isLoading,
isAvailable,
switchSession,
deleteSession,
saveCurrentSession,
refreshSessions,
clearCurrentSession,
}
}

View File

@@ -1,136 +0,0 @@
"use client"
/**
* Hook for VLM-based diagram validation using AI SDK's useObject.
*/
import { experimental_useObject as useObject } from "@ai-sdk/react"
import { useCallback, useRef } from "react"
import { getApiEndpoint } from "@/lib/base-path"
import {
type ValidationResult,
ValidationResultSchema,
} from "@/lib/validation-schema"
export type { ValidationResult }
// Default valid result for fallback cases
const DEFAULT_VALID_RESULT: ValidationResult = {
valid: true,
issues: [],
suggestions: [],
}
interface UseValidateDiagramOptions {
onSuccess?: (result: ValidationResult) => void
onError?: (error: Error) => void
}
// Track pending validation promises for imperative API
type PendingValidation = {
resolve: (result: ValidationResult) => void
reject: (error: Error) => void
}
export function useValidateDiagram(options: UseValidateDiagramOptions = {}) {
const { onSuccess, onError } = options
const pendingValidationRef = useRef<PendingValidation | null>(null)
const { object, submit, isLoading, error, stop } = useObject({
api: getApiEndpoint("/api/validate-diagram"),
schema: ValidationResultSchema,
onFinish: ({
object,
error: finishError,
}: {
object: ValidationResult | undefined
error: Error | undefined
}) => {
if (finishError) {
console.error(
"[useValidateDiagram] Validation error:",
finishError,
)
onError?.(finishError)
pendingValidationRef.current?.reject(finishError)
pendingValidationRef.current = null
return
}
if (object) {
const result = object as ValidationResult
onSuccess?.(result)
pendingValidationRef.current?.resolve(result)
pendingValidationRef.current = null
}
},
onError: (err: Error) => {
console.error("[useValidateDiagram] Stream error:", err)
onError?.(err)
pendingValidationRef.current?.reject(err)
pendingValidationRef.current = null
},
})
/**
* Validate a diagram image.
* Returns a promise that resolves with the validation result.
*/
const validate = useCallback(
async (
imageData: string,
sessionId?: string,
): Promise<ValidationResult> => {
// Reject any pending validation to prevent promise leaks
if (pendingValidationRef.current) {
pendingValidationRef.current.reject(
new Error("Validation superseded by new request"),
)
pendingValidationRef.current = null
}
return new Promise((resolve, reject) => {
// Store the promise handlers
pendingValidationRef.current = { resolve, reject }
// Submit the validation request
submit({ imageData, sessionId })
})
},
[submit],
)
/**
* Validate with fallback - returns default valid result on error.
* Use this to avoid blocking the user on validation failures.
*/
const validateWithFallback = useCallback(
async (
imageData: string,
sessionId?: string,
): Promise<ValidationResult> => {
try {
return await validate(imageData, sessionId)
} catch (error) {
console.warn(
"[useValidateDiagram] Validation failed, using fallback:",
error,
)
return DEFAULT_VALID_RESULT
}
},
[validate],
)
return {
// Validation functions
validate,
validateWithFallback,
stop,
// State
isValidating: isLoading,
partialResult: object as ValidationResult | undefined,
error,
}
}

26
lib/ai-config.ts Normal file
View File

@@ -0,0 +1,26 @@
import { STORAGE_KEYS } from "./storage"
/**
* Get AI configuration from localStorage.
* Returns API keys and settings for custom AI providers.
* Used to override server defaults when user provides their own API key.
*/
export function getAIConfig() {
if (typeof window === "undefined") {
return {
accessCode: "",
aiProvider: "",
aiBaseUrl: "",
aiApiKey: "",
aiModel: "",
}
}
return {
accessCode: localStorage.getItem(STORAGE_KEYS.accessCode) || "",
aiProvider: localStorage.getItem(STORAGE_KEYS.aiProvider) || "",
aiBaseUrl: localStorage.getItem(STORAGE_KEYS.aiBaseUrl) || "",
aiApiKey: localStorage.getItem(STORAGE_KEYS.aiApiKey) || "",
aiModel: localStorage.getItem(STORAGE_KEYS.aiModel) || "",
}
}

View File

@@ -4,57 +4,31 @@ import { azure, createAzure } from "@ai-sdk/azure"
import { createDeepSeek, deepseek } from "@ai-sdk/deepseek"
import { createGateway, gateway } from "@ai-sdk/gateway"
import { createGoogleGenerativeAI, google } from "@ai-sdk/google"
import { createVertex } from "@ai-sdk/google-vertex"
import { createOpenAI, openai } from "@ai-sdk/openai"
import { fromNodeProviderChain } from "@aws-sdk/credential-providers"
import { createOpenRouter } from "@openrouter/ai-sdk-provider"
import { createOllama, ollama } from "ollama-ai-provider-v2"
import { PROVIDER_INFO, type ProviderName } from "@/lib/types/model-config"
export type { ProviderName }
export type ProviderName =
| "bedrock"
| "openai"
| "anthropic"
| "google"
| "azure"
| "ollama"
| "openrouter"
| "deepseek"
| "siliconflow"
| "sglang"
| "gateway"
| "edgeone"
| "doubao"
interface ModelConfig {
model: any
providerOptions?: any
headers?: Record<string, string>
modelId: string
provider: ProviderName
}
// Providers that only support a single system message
export const SINGLE_SYSTEM_PROVIDERS = new Set<ProviderName>([
"minimax",
"glm",
"qwen",
"kimi",
"qiniu",
"novita",
])
/**
* Normalize MiniMax base URL for AI SDK compatibility.
* MiniMax supports Anthropic-compatible and OpenAI-compatible endpoints.
*/
export function normalizeMiniMaxBaseURL(rawUrl: string): {
baseURL: string
isAnthropicCompatible: boolean
} {
const isAnthropicCompatible = rawUrl.includes("/anthropic")
let baseURL = rawUrl.replace(/\/$/, "")
if (isAnthropicCompatible) {
if (!baseURL.endsWith("/anthropic/v1")) {
if (baseURL.endsWith("/anthropic")) {
baseURL = `${baseURL}/v1`
} else {
baseURL = `${baseURL}/anthropic/v1`
}
}
} else {
if (!baseURL.endsWith("/v1")) {
baseURL = `${baseURL}/v1`
}
}
return { baseURL, isAnthropicCompatible }
}
export interface ClientOverrides {
@@ -67,22 +41,15 @@ export interface ClientOverrides {
awsSecretAccessKey?: string | null
awsRegion?: string | null
awsSessionToken?: string | null
// Vertex AI config
vertexApiKey?: string | null // Express Mode API key
// Custom headers (e.g., for EdgeOne cookie auth)
headers?: Record<string, string>
// Custom env var name(s) for server models
// Can be a single string or array of strings for load balancing
apiKeyEnv?: string | string[]
baseUrlEnv?: string
}
// Providers that can be selected from client settings
// Providers that can be used with client-provided API keys
const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
"openai",
"anthropic",
"google",
"vertexai",
"azure",
"bedrock",
"openrouter",
@@ -91,15 +58,7 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
"sglang",
"gateway",
"edgeone",
"ollama",
"doubao",
"modelscope",
"glm",
"qwen",
"qiniu",
"kimi",
"minimax",
"novita",
]
// Bedrock provider options for Anthropic beta features
@@ -114,87 +73,6 @@ const ANTHROPIC_BETA_HEADERS = {
"anthropic-beta": "fine-grained-tool-streaming-2025-05-14",
}
/**
* Resolve baseURL based on whether user is providing their own API key.
* When user provides their own API key, we should NOT fall back to server's
* baseURL environment variable - user credentials should only be sent to
* user-specified endpoints or official provider endpoints.
*
* @param userApiKey - User-provided API key (if any)
* @param userBaseUrl - User-provided base URL (if any)
* @param serverBaseUrl - Server's base URL from environment variable
* @param defaultBaseUrl - Provider's official/default base URL (optional)
* @returns The resolved base URL to use
*/
export function resolveBaseURL(
userApiKey: string | null | undefined,
userBaseUrl: string | null | undefined,
serverBaseUrl: string | undefined,
defaultBaseUrl?: string,
): string | undefined {
if (userApiKey) {
// User provides their own API key - only use user's baseUrl or default
return userBaseUrl || defaultBaseUrl || undefined
}
// No user API key - fall back to server config
return userBaseUrl || serverBaseUrl || defaultBaseUrl || undefined
}
/**
* Resolve API key from custom env var name or default env var.
* Supports multiple API keys per provider via ai-models.json apiKeyEnv config.
* When multiple keys are configured, randomly selects one for load balancing.
*
* Priority:
* 1. User-provided API key (overrides.apiKey)
* 2. Custom env var(s) from ai-models.json (overrides.apiKeyEnv)
* - If array, randomly picks one with a valid value
* 3. Default provider env var (defaultEnvVar)
*/
function resolveApiKey(
overrides: ClientOverrides | undefined,
defaultEnvVar: string,
): string | undefined {
if (overrides?.apiKey) return overrides.apiKey
if (overrides?.apiKeyEnv) {
// Handle array of env var names - randomly select one
if (Array.isArray(overrides.apiKeyEnv)) {
// Filter to only env vars that have values
const validEnvVars = overrides.apiKeyEnv.filter(
(envVar) => process.env[envVar],
)
if (validEnvVars.length > 0) {
// Randomly select one
const selectedEnvVar =
validEnvVars[
Math.floor(Math.random() * validEnvVars.length)
]
console.log(
`[API Key Routing] Selected ${selectedEnvVar} from ${validEnvVars.length} available keys`,
)
return process.env[selectedEnvVar]
}
} else {
return process.env[overrides.apiKeyEnv]
}
}
return process.env[defaultEnvVar]
}
/**
* Resolve base URL from custom env var name or default env var.
* Supports multiple base URLs per provider via ai-models.json baseUrlEnv config.
*/
function resolveBaseUrlEnv(
overrides: ClientOverrides | undefined,
defaultEnvVar: string,
): string | undefined {
if (overrides?.baseUrlEnv) return process.env[overrides.baseUrlEnv]
return process.env[defaultEnvVar]
}
/**
* Safely parse integer from environment variable with validation
*/
@@ -229,8 +107,6 @@ function parseIntSafe(
* - ANTHROPIC_THINKING_TYPE: Anthropic thinking type (enabled)
* - GOOGLE_THINKING_BUDGET: Google Gemini 2.5 thinking budget in tokens (1024-100000)
* - GOOGLE_THINKING_LEVEL: Google Gemini 3 thinking level (low/high)
* - GOOGLE_VERTEX_THINKING_BUDGET: Vertex AI Gemini 2.5 thinking budget in tokens (1024-100000)
* - GOOGLE_VERTEX_THINKING_LEVEL: Vertex AI Gemini 3 thinking level (low/high)
* - AZURE_REASONING_EFFORT: Azure/OpenAI reasoning effort (low/medium/high)
* - AZURE_REASONING_SUMMARY: Azure reasoning summary (none/brief/detailed)
* - BEDROCK_REASONING_BUDGET_TOKENS: Bedrock Claude reasoning budget in tokens (1024-64000)
@@ -395,46 +271,7 @@ function buildProviderOptions(
}
break
}
case "vertexai": {
const thinkingBudget = parseIntSafe(
process.env.GOOGLE_VERTEX_THINKING_BUDGET,
"GOOGLE_VERTEX_THINKING_BUDGET",
1024,
100000,
)
const thinkingLevel = process.env.GOOGLE_VERTEX_THINKING_LEVEL
if (
modelId &&
(modelId.includes("gemini-2") ||
modelId.includes("gemini-3") ||
modelId.includes("gemini2") ||
modelId.includes("gemini3"))
) {
const thinkingConfig: Record<string, any> = {
includeThoughts: true,
}
const isGemini3 =
modelId?.includes("gemini-3") ||
modelId?.includes("gemini3")
const isGemini25 =
modelId?.includes("2.5") || modelId?.includes("2-5")
if (isGemini3 && thinkingLevel) {
// Vertex AI provider in AI SDK supports more granular levels (minimal/low/medium/high)
thinkingConfig.thinkingLevel = thinkingLevel as
| "minimal"
| "low"
| "medium"
| "high"
} else if (isGemini25 && thinkingBudget) {
thinkingConfig.thinkingBudget = thinkingBudget
}
options.google = { thinkingConfig }
}
break
}
case "azure": {
const reasoningEffort = process.env.AZURE_REASONING_EFFORT
const reasoningSummary = process.env.AZURE_REASONING_SUMMARY
@@ -516,14 +353,7 @@ function buildProviderOptions(
case "siliconflow":
case "sglang":
case "gateway":
case "modelscope":
case "doubao":
case "minimax":
case "glm":
case "qwen":
case "kimi":
case "qiniu":
case "novita": {
case "doubao": {
// These providers don't have reasoning configs in AI SDK yet
// Gateway passes through to underlying providers which handle their own configs
break
@@ -542,7 +372,6 @@ const PROVIDER_ENV_VARS: Record<ProviderName, string | null> = {
openai: "OPENAI_API_KEY",
anthropic: "ANTHROPIC_API_KEY",
google: "GOOGLE_GENERATIVE_AI_API_KEY",
vertexai: "GOOGLE_VERTEX_API_KEY",
azure: "AZURE_API_KEY",
ollama: null, // No credentials needed for local Ollama
openrouter: "OPENROUTER_API_KEY",
@@ -552,13 +381,6 @@ const PROVIDER_ENV_VARS: Record<ProviderName, string | null> = {
gateway: "AI_GATEWAY_API_KEY",
edgeone: null, // No credentials needed - uses EdgeOne Edge AI
doubao: "DOUBAO_API_KEY",
modelscope: "MODELSCOPE_API_KEY",
glm: "GLM_API_KEY",
qwen: "QWEN_API_KEY",
qiniu: "QINIU_API_KEY",
kimi: "KIMI_API_KEY",
minimax: "MINIMAX_API_KEY",
novita: "NOVITA_API_KEY",
}
/**
@@ -596,27 +418,9 @@ function detectProvider(): ProviderName | null {
/**
* Validate that required API keys are present for the selected provider
* @param provider - The provider to validate
* @param customApiKeyEnv - Optional custom env var name(s) (from ai-models.json apiKeyEnv)
*/
function validateProviderCredentials(
provider: ProviderName,
customApiKeyEnv?: string | string[],
): void {
// Handle array of env var names - at least one must be set
if (Array.isArray(customApiKeyEnv)) {
const hasAnyKey = customApiKeyEnv.some((envVar) => process.env[envVar])
if (!hasAnyKey) {
throw new Error(
`At least one of [${customApiKeyEnv.join(", ")}] environment variables is required for ${provider} provider. ` +
`Please set at least one in your .env.local file.`,
)
}
return
}
// Use custom env var name if provided, otherwise use default
const requiredVar = customApiKeyEnv || PROVIDER_ENV_VARS[provider]
function validateProviderCredentials(provider: ProviderName): void {
const requiredVar = PROVIDER_ENV_VARS[provider]
if (requiredVar && !process.env[requiredVar]) {
throw new Error(
`${requiredVar} environment variable is required for ${provider} provider. ` +
@@ -641,7 +445,7 @@ function validateProviderCredentials(
* Get the AI model based on environment variables
*
* Environment variables:
* - AI_PROVIDER: The provider to use (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, modelscope)
* - AI_PROVIDER: The provider to use (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway)
* - AI_MODEL: The model ID/name for the selected provider
*
* Provider-specific env vars:
@@ -651,30 +455,24 @@ function validateProviderCredentials(
* - GOOGLE_GENERATIVE_AI_API_KEY: Google API key
* - AZURE_RESOURCE_NAME, AZURE_API_KEY: Azure OpenAI credentials
* - AWS_REGION, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY: AWS Bedrock credentials
* - OLLAMA_BASE_URL: Ollama server URL (optional, defaults to https://ollama.com/api)
* - OLLAMA_BASE_URL: Ollama server URL (optional, defaults to http://localhost:11434)
* - OPENROUTER_API_KEY: OpenRouter API key
* - DEEPSEEK_API_KEY: DeepSeek API key
* - DEEPSEEK_BASE_URL: DeepSeek endpoint (optional)
* - SILICONFLOW_API_KEY: SiliconFlow API key
* - SILICONFLOW_BASE_URL: SiliconFlow endpoint (optional, defaults to https://api.siliconflow.cn/v1)
* - SILICONFLOW_BASE_URL: SiliconFlow endpoint (optional, defaults to https://api.siliconflow.com/v1)
* - SGLANG_API_KEY: SGLang API key
* - SGLANG_BASE_URL: SGLang endpoint (optional)
* - MODELSCOPE_API_KEY: ModelScope API key
* - MODELSCOPE_BASE_URL: ModelScope endpoint (optional)
*/
export function getAIModel(overrides?: ClientOverrides): ModelConfig {
// SECURITY: Prevent SSRF attacks (GHSA-9qf7-mprq-9qgm)
// If a custom baseUrl is provided, an API key MUST also be provided.
// This prevents attackers from redirecting server API keys to malicious endpoints.
// Exception: EdgeOne doesn't require API keys.
// Ollama is exempt only when no server OLLAMA_API_KEY is configured;
// when it IS configured, the outer guard also enforces client apiKey for custom baseUrls.
// Exception: EdgeOne provider doesn't require API key (uses Edge AI runtime)
if (
overrides?.baseUrl &&
!overrides?.apiKey &&
!(overrides?.provider === "vertexai" && overrides?.vertexApiKey) &&
overrides?.provider !== "edgeone" &&
!(overrides?.provider === "ollama" && !process.env.OLLAMA_API_KEY)
overrides?.provider !== "edgeone"
) {
throw new Error(
`API key is required when using a custom base URL. ` +
@@ -683,11 +481,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
}
// Check if client is providing their own provider override
const isClientOverride = !!(
overrides?.provider &&
(overrides?.apiKey ||
(overrides?.provider === "vertexai" && overrides?.vertexApiKey))
)
const isClientOverride = !!(overrides?.provider && overrides?.apiKey)
// Use client override if provided, otherwise fall back to env vars
const modelId = overrides?.modelId || process.env.AI_MODEL
@@ -743,7 +537,6 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
`- AZURE_API_KEY for Azure\n` +
`- SILICONFLOW_API_KEY for SiliconFlow\n` +
`- SGLANG_API_KEY for SGLang\n` +
`- MODELSCOPE_API_KEY for ModelScope\n` +
`Or set AI_PROVIDER=ollama for local Ollama.`,
)
} else {
@@ -757,7 +550,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
// Only validate server credentials if client isn't providing their own API key
if (!isClientOverride) {
validateProviderCredentials(provider, overrides?.apiKeyEnv)
validateProviderCredentials(provider)
}
console.log(`[AI Provider] Initializing ${provider} with model: ${modelId}`)
@@ -780,8 +573,8 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
const bedrockProvider = hasClientCredentials
? createAmazonBedrock({
region: bedrockRegion,
accessKeyId: overrides.awsAccessKeyId as string,
secretAccessKey: overrides.awsSecretAccessKey as string,
accessKeyId: overrides.awsAccessKeyId!,
secretAccessKey: overrides.awsSecretAccessKey!,
...(overrides?.awsSessionToken && {
sessionToken: overrides.awsSessionToken,
}),
@@ -807,16 +600,8 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
}
case "openai": {
const apiKey = resolveApiKey(overrides, "OPENAI_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"OPENAI_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
)
const apiKey = overrides?.apiKey || process.env.OPENAI_API_KEY
const baseURL = overrides?.baseUrl || process.env.OPENAI_BASE_URL
if (baseURL) {
// Custom base URL = third-party proxy, use Chat Completions API
// for compatibility (most proxies don't support /responses endpoint)
@@ -834,17 +619,11 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
}
case "anthropic": {
const apiKey = resolveApiKey(overrides, "ANTHROPIC_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"ANTHROPIC_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
"https://api.anthropic.com/v1",
)
const apiKey = overrides?.apiKey || process.env.ANTHROPIC_API_KEY
const baseURL =
overrides?.baseUrl ||
process.env.ANTHROPIC_BASE_URL ||
"https://api.anthropic.com/v1"
const customProvider = createAnthropic({
apiKey,
baseURL,
@@ -857,19 +636,9 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
}
case "google": {
const apiKey = resolveApiKey(
overrides,
"GOOGLE_GENERATIVE_AI_API_KEY",
)
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"GOOGLE_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
)
const apiKey =
overrides?.apiKey || process.env.GOOGLE_GENERATIVE_AI_API_KEY
const baseURL = overrides?.baseUrl || process.env.GOOGLE_BASE_URL
if (baseURL || overrides?.apiKey) {
const customGoogle = createGoogleGenerativeAI({
apiKey,
@@ -881,42 +650,11 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
}
break
}
case "vertexai": {
// Express Mode: Use API key for authentication
const vertexApiKey =
overrides?.vertexApiKey || process.env.GOOGLE_VERTEX_API_KEY
if (!vertexApiKey) {
throw new Error(
"Vertex AI requires an API key for Express Mode. " +
"Get one from Google Cloud Console or set GOOGLE_VERTEX_API_KEY environment variable.",
)
}
// Support custom base URL from env or client override
const baseURL =
overrides?.baseUrl || process.env.GOOGLE_VERTEX_BASE_URL
const vertexProvider = createVertex({
apiKey: vertexApiKey,
...(baseURL && { baseURL }),
})
model = vertexProvider(modelId)
break
}
case "azure": {
const apiKey = resolveApiKey(overrides, "AZURE_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(overrides, "AZURE_BASE_URL")
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
)
// Only use server's resourceName if user is NOT providing their own API key
const resourceName = overrides?.apiKey
? undefined
: process.env.AZURE_RESOURCE_NAME
const apiKey = overrides?.apiKey || process.env.AZURE_API_KEY
const baseURL = overrides?.baseUrl || process.env.AZURE_BASE_URL
const resourceName = process.env.AZURE_RESOURCE_NAME
// Azure requires either baseURL or resourceName to construct the endpoint
// resourceName constructs: https://{resourceName}.openai.azure.com/openai/v1{path}
if (baseURL || resourceName || overrides?.apiKey) {
@@ -933,39 +671,21 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
break
}
case "ollama": {
const baseURL = overrides?.baseUrl || process.env.OLLAMA_BASE_URL
// SECURITY: When client provides a custom base URL, only use
// client-provided API key. Never fall back to server OLLAMA_API_KEY
// to prevent leaking server credentials to user-controlled endpoints.
const apiKey = overrides?.baseUrl
? overrides?.apiKey || undefined
: resolveApiKey(overrides, "OLLAMA_API_KEY")
if (baseURL || apiKey) {
case "ollama":
if (process.env.OLLAMA_BASE_URL) {
const customOllama = createOllama({
...(baseURL && { baseURL }),
...(apiKey && {
headers: { Authorization: `Bearer ${apiKey}` },
}),
baseURL: process.env.OLLAMA_BASE_URL,
})
model = customOllama(modelId)
} else {
model = ollama(modelId)
}
break
}
case "openrouter": {
const apiKey = resolveApiKey(overrides, "OPENROUTER_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"OPENROUTER_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
)
const apiKey = overrides?.apiKey || process.env.OPENROUTER_API_KEY
const baseURL =
overrides?.baseUrl || process.env.OPENROUTER_BASE_URL
const openrouter = createOpenRouter({
apiKey,
...(baseURL && { baseURL }),
@@ -975,16 +695,8 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
}
case "deepseek": {
const apiKey = resolveApiKey(overrides, "DEEPSEEK_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"DEEPSEEK_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
)
const apiKey = overrides?.apiKey || process.env.DEEPSEEK_API_KEY
const baseURL = overrides?.baseUrl || process.env.DEEPSEEK_BASE_URL
if (baseURL || overrides?.apiKey) {
const customDeepSeek = createDeepSeek({
apiKey,
@@ -998,17 +710,11 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
}
case "siliconflow": {
const apiKey = resolveApiKey(overrides, "SILICONFLOW_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"SILICONFLOW_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
"https://api.siliconflow.cn/v1",
)
const apiKey = overrides?.apiKey || process.env.SILICONFLOW_API_KEY
const baseURL =
overrides?.baseUrl ||
process.env.SILICONFLOW_BASE_URL ||
"https://api.siliconflow.com/v1"
const siliconflowProvider = createOpenAI({
apiKey,
baseURL,
@@ -1018,20 +724,12 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
}
case "sglang": {
const apiKey = resolveApiKey(overrides, "SGLANG_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"SGLANG_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
)
const apiKey = overrides?.apiKey || process.env.SGLANG_API_KEY
const baseURL = overrides?.baseUrl || process.env.SGLANG_BASE_URL
const sglangProvider = createOpenAI({
apiKey,
...(baseURL && { baseURL }),
baseURL,
// Add a custom fetch wrapper to intercept and fix the stream from sglang
fetch: async (url, options) => {
const response = await fetch(url, options)
@@ -1088,7 +786,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
`data: ${JSON.stringify(data)}\n\n`,
),
)
} catch (_e) {
} catch (e) {
// If parsing fails, forward the original message to avoid breaking the stream.
controller.enqueue(
new TextEncoder().encode(
@@ -1135,16 +833,9 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
// Vercel AI Gateway - unified access to multiple AI providers
// Model format: "provider/model" e.g., "openai/gpt-4o", "anthropic/claude-sonnet-4-5"
// See: https://vercel.com/ai-gateway
const apiKey = resolveApiKey(overrides, "AI_GATEWAY_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"AI_GATEWAY_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
)
const apiKey = overrides?.apiKey || process.env.AI_GATEWAY_API_KEY
const baseURL =
overrides?.baseUrl || process.env.AI_GATEWAY_BASE_URL
// Only use custom configuration if explicitly set (local dev or custom Gateway)
// Otherwise undefined → AI SDK uses Vercel default (https://ai-gateway.vercel.sh/v1/ai) + OIDC
if (baseURL || overrides?.apiKey) {
@@ -1175,122 +866,22 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
}
case "doubao": {
const apiKey = resolveApiKey(overrides, "DOUBAO_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"DOUBAO_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
"https://ark.cn-beijing.volces.com/api/v3",
)
const lowerModelId = modelId.toLowerCase()
// Use DeepSeek provider for DeepSeek/Kimi models, OpenAI for others (multimodal support)
if (
lowerModelId.includes("deepseek") ||
lowerModelId.includes("kimi")
) {
const doubaoProvider = createDeepSeek({
apiKey,
baseURL,
})
model = doubaoProvider(modelId)
} else {
const doubaoProvider = createOpenAI({
apiKey,
baseURL,
})
model = doubaoProvider.chat(modelId)
}
break
}
case "modelscope": {
const apiKey = resolveApiKey(overrides, "MODELSCOPE_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"MODELSCOPE_BASE_URL",
)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
"https://api-inference.modelscope.cn/v1",
)
const modelscopeProvider = createOpenAI({
const apiKey = overrides?.apiKey || process.env.DOUBAO_API_KEY
const baseURL =
overrides?.baseUrl ||
process.env.DOUBAO_BASE_URL ||
"https://ark.cn-beijing.volces.com/api/v3"
const doubaoProvider = createDeepSeek({
apiKey,
baseURL,
})
model = modelscopeProvider.chat(modelId)
break
}
case "minimax": {
const apiKey = resolveApiKey(overrides, "MINIMAX_API_KEY")
const serverBaseUrl = resolveBaseUrlEnv(
overrides,
"MINIMAX_BASE_URL",
)
const rawBaseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
serverBaseUrl,
PROVIDER_INFO.minimax.defaultBaseUrl,
)
if (!rawBaseURL) {
throw new Error(
"MiniMax base URL could not be resolved. Set MINIMAX_BASE_URL or configure a base URL in settings.",
)
}
const { baseURL, isAnthropicCompatible } =
normalizeMiniMaxBaseURL(rawBaseURL)
if (isAnthropicCompatible) {
const minimax = createAnthropic({ apiKey, baseURL })
model = minimax.chat(modelId)
} else {
const minimax = createOpenAI({ apiKey, baseURL })
model = minimax.chat(modelId)
}
break
}
case "glm":
case "qwen":
case "qiniu":
case "kimi":
case "novita": {
const envVar = PROVIDER_ENV_VARS[provider]
if (!envVar) {
throw new Error(
`API key environment variable not defined for provider: ${provider}`,
)
}
const apiKey = resolveApiKey(overrides, envVar)
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
resolveBaseUrlEnv(
overrides,
`${provider.toUpperCase()}_BASE_URL`,
),
PROVIDER_INFO[provider]?.defaultBaseUrl,
)
const customProvider = createOpenAI({
apiKey,
baseURL,
})
model = customProvider.chat(modelId)
model = doubaoProvider(modelId)
break
}
default:
throw new Error(
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao, modelscope, glm, qwen, qiniu, kimi, minimax, novita`,
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao`,
)
}
@@ -1299,7 +890,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
providerOptions = customProviderOptions
}
return { model, providerOptions, headers, modelId, provider }
return { model, providerOptions, headers, modelId }
}
/**
@@ -1315,89 +906,3 @@ export function supportsPromptCaching(modelId: string): boolean {
modelId.startsWith("eu.anthropic")
)
}
/**
* Check if a model supports image/vision input.
* Some models silently drop image parts without error (AI SDK warning only).
*/
export function supportsImageInput(modelId: string): boolean {
const lowerModelId = modelId.toLowerCase()
// Helper to check if model has vision capability indicator
const hasVisionIndicator =
lowerModelId.includes("vision") || lowerModelId.includes("vl")
// Models that DON'T support image/vision input (unless vision variant)
// Kimi K2 doesn't support images, but K2.5 does
// Only block kimi-k2 specifically, not other Kimi models
if (
(lowerModelId.includes("kimi-k2") ||
lowerModelId.includes("kimi_k2")) &&
!hasVisionIndicator &&
!lowerModelId.includes("2.5") &&
!lowerModelId.includes("k2.5")
) {
return false
}
// Moonshot text models (moonshot-v1 series are text-only)
if (lowerModelId.includes("moonshot-v1") && !hasVisionIndicator) {
return false
}
// MiniMax text models (MiniMax-M2.x series are text-only)
if (lowerModelId.includes("minimax") && !hasVisionIndicator) {
return false
}
// DeepSeek text models (not vision variants)
if (lowerModelId.includes("deepseek") && !hasVisionIndicator) {
return false
}
// Qwen text models (not vision variants like qwen-vl)
// qwen3.5-plus is a vision model
if (
lowerModelId.includes("qwen") &&
!hasVisionIndicator &&
!lowerModelId.includes("qwen3.5-plus") &&
!lowerModelId.includes("qwen3.5-flash")
) {
return false
}
// GLM text models (not vision variants)
// GLM vision models: glm-4v, glm-4v-9b, glm-4.1v-9b-thinking
if (lowerModelId.includes("glm") && !hasVisionIndicator) {
if (!/[\d.]v/.test(lowerModelId)) {
return false
}
}
// Default: assume model supports images
return true
}
/**
* Get the AI model for diagram validation.
* Uses VALIDATION_MODEL env var if set, otherwise falls back to AI_MODEL.
* Throws if the model doesn't support image input.
*/
export function getValidationModel(): ReturnType<typeof getAIModel>["model"] {
const modelId = process.env.VALIDATION_MODEL || process.env.AI_MODEL
if (!modelId) {
throw new Error(
"No validation model configured. Set VALIDATION_MODEL or AI_MODEL.",
)
}
if (!supportsImageInput(modelId)) {
throw new Error(
`Validation requires a vision-capable model. Model "${modelId}" does not support image input.`,
)
}
const { model } = getAIModel({ modelId })
return model
}

View File

@@ -1,89 +0,0 @@
// Shared helper functions for chat route
// Exported for testing
// File upload limits (must match client-side)
export const MAX_FILE_SIZE = 2 * 1024 * 1024 // 2MB
export const MAX_FILES = 5
// Helper function to validate file parts in messages
export 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
export 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
export 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 }
})
}

View File

@@ -1,64 +0,0 @@
/**
* Types and utilities for VLM-based diagram validation.
* The actual validation is performed via useValidateDiagram hook using AI SDK's useObject.
*/
// Re-export types from the schema file (single source of truth)
export type { ValidationIssue, ValidationResult } from "./validation-schema"
import type { ValidationResult } from "./validation-schema"
/**
* Format validation feedback for display to the AI model.
* This creates a human-readable error message that guides the AI to fix issues.
*
* @param result - The validation result from VLM
* @returns Formatted string for tool error output
*/
export function formatValidationFeedback(result: ValidationResult): string {
// If validation passed with no issues, return empty string
if (result.valid && result.issues.length === 0) {
return ""
}
const lines: string[] = []
lines.push("DIAGRAM VISUAL VALIDATION FAILED")
lines.push("")
// Group issues by severity
const criticalIssues = result.issues.filter(
(i) => i.severity === "critical",
)
const warnings = result.issues.filter((i) => i.severity === "warning")
if (criticalIssues.length > 0) {
lines.push("Critical Issues (must fix):")
for (const issue of criticalIssues) {
lines.push(` - [${issue.type}] ${issue.description}`)
}
lines.push("")
}
if (warnings.length > 0) {
lines.push("Warnings:")
for (const issue of warnings) {
lines.push(` - [${issue.type}] ${issue.description}`)
}
lines.push("")
}
if (result.suggestions.length > 0) {
lines.push("Suggestions to fix:")
for (const suggestion of result.suggestions) {
lines.push(` - ${suggestion}`)
}
lines.push("")
}
lines.push(
"Please regenerate the diagram with corrected layout to fix these visual issues.",
)
return lines.join("\n")
}

View File

@@ -1,6 +1,6 @@
export const i18n = {
defaultLocale: "en",
locales: ["en", "zh", "ja", "zh-Hant"],
locales: ["en", "zh", "ja"],
} as const
export type Locale = (typeof i18n)["locales"][number]

View File

@@ -6,8 +6,6 @@ const dictionaries = {
en: () => import("./dictionaries/en.json").then((m) => m.default),
zh: () => import("./dictionaries/zh.json").then((m) => m.default),
ja: () => import("./dictionaries/ja.json").then((m) => m.default),
"zh-Hant": () =>
import("./dictionaries/zh-Hant.json").then((m) => m.default),
}
export type Dictionary = Awaited<ReturnType<(typeof dictionaries)["en"]>>

View File

@@ -28,18 +28,12 @@
"azure": "Azure OpenAI",
"openrouter": "OpenRouter",
"deepseek": "DeepSeek",
"siliconflow": "SiliconFlow",
"modelscope": "ModelScope",
"minimax": "MiniMax",
"glm": "GLM",
"qwen": "Qwen",
"kimi": "Kimi",
"qiniu": "Qiniu"
"siliconflow": "SiliconFlow"
},
"chat": {
"placeholder": "Describe your diagram or upload a file...",
"send": "Send",
"stopGeneration": "Stop generation",
"sending": "Sending...",
"sendMessage": "Send message",
"clearConversation": "Clear conversation",
"diagramHistory": "Diagram history",
@@ -57,8 +51,7 @@
"badResponse": "Bad response",
"clickToEdit": "Click to edit",
"editMessage": "Edit message",
"saveAndSubmit": "Save & Submit",
"ExtractURL": "Extract from URL"
"saveAndSubmit": "Save & Submit"
},
"examples": {
"title": "Create diagrams with AI",
@@ -82,8 +75,6 @@
"settings": {
"title": "Settings",
"description": "Configure your application settings.",
"apiKeysModels": "API Keys & Models",
"apiKeysModelsDescription": "Configure AI providers and API keys.",
"accessCode": "Access Code",
"accessCodePlaceholder": "Enter access code",
"accessCodeDescription": "Required to use this application.",
@@ -107,29 +98,14 @@
"switchTo": "Switch to",
"minimal": "Minimal",
"sketch": "Sketch",
"closeProtection": "Close Protection",
"closeProtectionDescription": "Show confirmation when leaving the page.",
"diagramStyle": "Diagram Style",
"diagramStyleDescription": "Toggle between minimal and styled diagram output.",
"sendShortcut": "Send Shortcut",
"sendShortcutDescription": "Choose how to send messages.",
"enterToSend": "Enter to send",
"ctrlEnterToSend": "Cmd/Ctrl+Enter to send",
"diagramActions": "Diagram Actions",
"diagramActionsDescription": "Manage diagram history and exports",
"history": "History",
"download": "Download",
"proxy": "Proxy Settings",
"proxyDescription": "Configure HTTP/HTTPS proxy for API requests (Desktop only)",
"httpProxy": "HTTP Proxy",
"httpsProxy": "HTTPS Proxy",
"applyProxy": "Apply",
"proxyApplied": "Proxy settings applied",
"diagramValidation": "Diagram Validation (Experimental)",
"diagramValidationDescription": "Use a vision language model to validate generated diagrams. Requires a VLM like GPT-5.2 or Sonnet-4.5.",
"enabled": "Enabled",
"disabled": "Disabled",
"customSystemMessage": "Custom System Message",
"customSystemMessageDescription": "Add custom instructions appended to the AI's system prompt.",
"customSystemMessagePlaceholder": "e.g., Always use blue color scheme for diagrams..."
"download": "Download"
},
"save": {
"title": "Save Diagram",
@@ -141,8 +117,7 @@
"drawio": "Draw.io XML",
"png": "PNG Image",
"svg": "SVG Image"
},
"savedSuccessfully": "Saved successfully!"
}
},
"history": {
"title": "Diagram History",
@@ -187,11 +162,8 @@
"tpmMessage": "Too many requests. Please wait a moment.",
"tpmMessageDetailed": "Rate limit reached ({limit} tokens/min). Please wait {seconds} seconds before sending another request.",
"messageApi": "Looks like you've reached today's demo limit. We're thrilled you're enjoying it, and while ByteDance Doubao generously sponsors this demo, we've had to set a few boundaries to keep things fair for everyone.",
"messageApiSelfHosted": null,
"messageToken": "Looks like you've reached today's token limit. We're thrilled you're enjoying it, and while ByteDance Doubao generously sponsors this demo, we've had to set a few boundaries to keep things fair for everyone.",
"messageTokenSelfHosted": null,
"tip": "<strong>Tip:</strong> You can use your own API key (click the Settings icon) or self-host the project to bypass these limits.",
"tipSelfHosted": "<strong>Tip:</strong> You can configure your own API key in the settings to continue using the service.",
"reset": "Your limit resets tomorrow. Thanks for understanding.",
"doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">Register here</a> to get 500K free tokens per model (including Doubao, DeepSeek and Kimi), then configure your API key in model settings.",
"configModel": "Use Your API Key",
@@ -213,15 +185,6 @@
"chars": "chars",
"removeFile": "Remove file"
},
"url": {
"title": "Extract Content from URL",
"description": "Paste a URL to extract and analyze its content",
"Extracting": "Extracting...",
"extract": "Extract",
"Cancel": "Cancel",
"enterUrl": "Please enter a URL",
"invalidFormat": "Invalid URL format"
},
"reasoning": {
"thinking": "Thinking...",
"thoughtFor": "Thought for {duration} seconds",
@@ -249,40 +212,6 @@
"contactMe": "Contact Me",
"usageNotice": "Due to high usage, I have changed the model from Claude to minimax-m2 and added some usage limits. See About page for details."
},
"sessionHistory": {
"tooltip": "Chat History",
"newChat": "New Chat",
"empty": "No chat history yet",
"emptyHint": "Start a conversation to begin",
"today": "Today",
"yesterday": "Yesterday",
"thisWeek": "This Week",
"earlier": "Earlier",
"deleteTitle": "Delete this chat?",
"deleteDescription": "This will permanently delete this chat session and its diagram. This action cannot be undone.",
"recentChats": "Recent Chats",
"justNow": "Just now",
"searchPlaceholder": "Search chats...",
"noResults": "No chats found"
},
"validation": {
"title": "Validate Diagram",
"capturing": "Capturing",
"validating": "Validating",
"validatingWithAttempt": "Validating ({attempt}/{max})",
"valid": "Valid",
"validWithWarnings": "Valid with Warnings",
"issuesFound": "Issues Found",
"error": "Error",
"skipped": "Skipped",
"capturedScreenshot": "Captured Screenshot:",
"issuesFoundLabel": "Issues Found:",
"suggestions": "Suggestions:",
"passedValidation": "Diagram passed visual validation - no issues detected.",
"improvementRequested": "Improvement requested - check the new diagram below",
"improveWithSuggestions": "Improve with Suggestions",
"regenerateWithFeedback": "Regenerate the diagram using the validation feedback"
},
"modelConfig": {
"title": "AI Model Configuration",
"description": "Configure multiple AI providers and models",
@@ -315,9 +244,7 @@
"enterSecretKey": "Enter your secret access key",
"baseUrl": "Base URL",
"optional": "(optional)",
"baseUrlWithExample": "Base URL (optional, e.g. {example})",
"customEndpoint": "Custom endpoint URL",
"minimaxBaseUrlHint": "Use /anthropic for Anthropic-compatible API (recommended), or /v1 for OpenAI-compatible API",
"models": "Models",
"customModelId": "Custom model ID...",
"allAdded": "All added",
@@ -342,13 +269,10 @@
"noModelsFound": "No models found.",
"default": "Default",
"serverDefault": "Server Default",
"serverModels": "Server Models",
"userModels": "User Models",
"configureModels": "Configure Models...",
"onlyVerifiedShown": "Only verified models are shown",
"showUnvalidatedModels": "Show unvalidated models",
"allModelsShown": "All models are shown (including unvalidated)",
"unvalidatedModelWarning": "This model has not been validated",
"serverDefaultModel": "Server default model"
"unvalidatedModelWarning": "This model has not been validated"
}
}

View File

@@ -28,18 +28,12 @@
"azure": "Azure OpenAI",
"openrouter": "OpenRouter",
"deepseek": "DeepSeek",
"siliconflow": "SiliconFlow",
"modelscope": "ModelScope",
"minimax": "MiniMax",
"glm": "GLM",
"qwen": "Qwen",
"kimi": "Kimi",
"qiniu": "Qiniu"
"siliconflow": "SiliconFlow"
},
"chat": {
"placeholder": "ダイアグラムを説明するか、ファイルをアップロード...",
"send": "送信",
"stopGeneration": "生成を停止",
"sending": "送信中...",
"sendMessage": "メッセージを送信",
"clearConversation": "会話をクリア",
"diagramHistory": "ダイアグラム履歴",
@@ -57,8 +51,7 @@
"badResponse": "悪い応答",
"clickToEdit": "クリックして編集",
"editMessage": "メッセージを編集",
"saveAndSubmit": "保存して送信",
"ExtractURL": "URLから抽出"
"saveAndSubmit": "保存して送信"
},
"examples": {
"title": "AI でダイアグラムを作成",
@@ -82,8 +75,6 @@
"settings": {
"title": "設定",
"description": "アプリケーション設定を構成します。",
"apiKeysModels": "API キーとモデル",
"apiKeysModelsDescription": "AI プロバイダーと API キーを設定します。",
"accessCode": "アクセスコード",
"accessCodePlaceholder": "アクセスコードを入力",
"accessCodeDescription": "このアプリケーションを使用するために必要です。",
@@ -107,29 +98,14 @@
"switchTo": "切り替え",
"minimal": "ミニマル",
"sketch": "スケッチ",
"closeProtection": "ページ離脱確認",
"closeProtectionDescription": "ページを離れる際に確認を表示します。",
"diagramStyle": "ダイアグラムスタイル",
"diagramStyleDescription": "ミニマルとスタイル付きの出力を切り替えます。",
"sendShortcut": "送信ショートカット",
"sendShortcutDescription": "メッセージの送信方法を選択します。",
"enterToSend": "Enterで送信",
"ctrlEnterToSend": "Cmd/Ctrl+Enterで送信",
"diagramActions": "ダイアグラム操作",
"diagramActionsDescription": "ダイアグラムの履歴とエクスポートを管理",
"history": "履歴",
"download": "ダウンロード",
"proxy": "プロキシ設定",
"proxyDescription": "API リクエスト用の HTTP/HTTPS プロキシを設定(デスクトップ版のみ)",
"httpProxy": "HTTP プロキシ",
"httpsProxy": "HTTPS プロキシ",
"applyProxy": "適用",
"proxyApplied": "プロキシ設定が適用されました",
"diagramValidation": "ダイアグラム検証(実験的)",
"diagramValidationDescription": "視覚言語モデルを使用して生成されたダイアグラムを検証します。GPT-5.2 や Sonnet-4.5 などの VLM が必要です。",
"enabled": "有効",
"disabled": "無効",
"customSystemMessage": "カスタムシステムメッセージ",
"customSystemMessageDescription": "AIのシステムプロンプトに追加されるカスタム指示を入力します。",
"customSystemMessagePlaceholder": "例:ダイアグラムには常に青色のカラースキームを使用..."
"download": "ダウンロード"
},
"save": {
"title": "ダイアグラムを保存",
@@ -141,8 +117,7 @@
"drawio": "Draw.io XML",
"png": "PNG 画像",
"svg": "SVG 画像"
},
"savedSuccessfully": "保存完了!"
}
},
"history": {
"title": "ダイアグラム履歴",
@@ -187,11 +162,8 @@
"tpmMessage": "リクエストが多すぎます。しばらくお待ちください。",
"tpmMessageDetailed": "レート制限に達しました({limit}トークン/分)。{seconds}秒待ってからもう一度リクエストしてください。",
"messageApi": "今日のデモ利用上限に達してしまったようです。楽しんでいただけて本当に嬉しいです。このデモはByteDance Doubaoのご厚意により提供されていますが、皆様に公平にご利用いただくため、少し制限を設けさせていただいております。",
"messageApiSelfHosted": null,
"messageToken": "今日のトークン利用上限に達してしまったようです。楽しんでいただけて本当に嬉しいです。このデモはByteDance Doubaoのご厚意により提供されていますが、皆様に公平にご利用いただくため、少し制限を設けさせていただいております。",
"messageTokenSelfHosted": null,
"tip": "<strong>ヒント:</strong>独自の API キーを使用する(設定アイコンをクリック)か、プロジェクトをセルフホストしてこれらの制限を回避できます。",
"tipSelfHosted": "<strong>ヒント:</strong>設定で独自の API キーを設定することで、引き続きサービスをご利用いただけます。",
"reset": "制限は明日リセットされます。ご理解ありがとうございます。",
"doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">こちらから登録</a>すると、各モデルDoubao、DeepSeek、Kimi含むで50万トークンを無料で取得できます。モデル設定でAPIキーを設定してください。",
"configModel": "APIキーを使用",
@@ -213,15 +185,6 @@
"chars": "文字",
"removeFile": "ファイルを削除"
},
"url": {
"title": "URLからコンテンツを抽出",
"description": "URLを貼り付けてそのコンテンツを抽出および分析します",
"Extracting": "抽出中...",
"extract": "抽出",
"Cancel": "キャンセル",
"enterUrl": "URLを入力してください",
"invalidFormat": "無効なURL形式です"
},
"reasoning": {
"thinking": "考え中...",
"thoughtFor": "{duration} 秒考えました",
@@ -249,40 +212,6 @@
"contactMe": "お問い合わせ",
"usageNotice": "利用量の増加に伴い、コスト削減のためモデルを Claude から minimax-m2 に変更し、いくつかの利用制限を設けました。詳細は概要ページをご覧ください。"
},
"sessionHistory": {
"tooltip": "チャット履歴",
"newChat": "新しいチャット",
"empty": "チャット履歴はまだありません",
"emptyHint": "会話を始めてください",
"today": "今日",
"yesterday": "昨日",
"thisWeek": "今週",
"earlier": "それ以前",
"deleteTitle": "このチャットを削除しますか?",
"deleteDescription": "このチャットセッションとダイアグラムは完全に削除されます。この操作は取り消せません。",
"recentChats": "最近のチャット",
"justNow": "たった今",
"searchPlaceholder": "チャットを検索...",
"noResults": "チャットが見つかりません"
},
"validation": {
"title": "ダイアグラムを検証",
"capturing": "キャプチャ中",
"validating": "検証中",
"validatingWithAttempt": "検証中 ({attempt}/{max})",
"valid": "有効",
"validWithWarnings": "有効(警告あり)",
"issuesFound": "問題が見つかりました",
"error": "エラー",
"skipped": "スキップ",
"capturedScreenshot": "キャプチャした画像:",
"issuesFoundLabel": "検出された問題:",
"suggestions": "提案:",
"passedValidation": "ダイアグラムは視覚検証に合格しました - 問題は検出されませんでした。",
"improvementRequested": "改善リクエスト済み - 下の新しいダイアグラムを確認してください",
"improveWithSuggestions": "提案で改善",
"regenerateWithFeedback": "検証フィードバックを使用してダイアグラムを再生成"
},
"modelConfig": {
"title": "AIモデル設定",
"description": "複数のAIプロバイダーとモデルを設定",
@@ -315,9 +244,7 @@
"enterSecretKey": "シークレットアクセスキーを入力",
"baseUrl": "ベース URL",
"optional": "(オプション)",
"baseUrlWithExample": "ベース URLオプション、例: {example}",
"customEndpoint": "カスタムエンドポイント URL",
"minimaxBaseUrlHint": "/anthropic で Anthropic 互換 API推奨、または /v1 で OpenAI 互換 API を使用",
"models": "モデル",
"customModelId": "カスタムモデル ID...",
"allAdded": "すべて追加済み",
@@ -342,13 +269,10 @@
"noModelsFound": "モデルが見つかりません。",
"default": "デフォルト",
"serverDefault": "サーバーデフォルト",
"serverModels": "サーバーモデル",
"userModels": "ユーザーモデル",
"configureModels": "モデルを設定...",
"onlyVerifiedShown": "検証済みのモデルのみ表示",
"showUnvalidatedModels": "未検証のモデルを表示",
"allModelsShown": "すべてのモデルを表示(未検証を含む)",
"unvalidatedModelWarning": "このモデルは検証されていません",
"serverDefaultModel": "サーバーデフォルトモデル"
"unvalidatedModelWarning": "このモデルは検証されていません"
}
}

View File

@@ -1,354 +0,0 @@
{
"common": {
"save": "儲存",
"cancel": "取消",
"close": "關閉",
"confirm": "確認",
"clear": "清除",
"edit": "編輯",
"delete": "刪除",
"loading": "載入中...",
"new": "新建"
},
"nav": {
"about": "關於",
"editor": "編輯器",
"newChat": "開始新對話",
"github": "GitHub",
"settings": "設定",
"hidePanel": "隱藏聊天面板 (Ctrl+B)",
"showPanel": "顯示聊天面板 (Ctrl+B)",
"aiChat": "AI 聊天"
},
"providers": {
"useServerDefault": "使用伺服器預設值",
"openai": "OpenAI",
"anthropic": "Anthropic",
"google": "Google",
"azure": "Azure OpenAI",
"openrouter": "OpenRouter",
"deepseek": "DeepSeek",
"siliconflow": "SiliconFlow",
"modelscope": "ModelScope",
"minimax": "MiniMax",
"glm": "GLM",
"qwen": "Qwen",
"kimi": "Kimi",
"qiniu": "Qiniu"
},
"chat": {
"placeholder": "描述您的圖表或上傳檔案...",
"send": "傳送",
"stopGeneration": "停止產生",
"sendMessage": "傳送訊息",
"clearConversation": "清除對話",
"diagramHistory": "圖表歷史",
"saveDiagram": "儲存圖表",
"uploadFile": "上傳檔案圖片、PDF、文字",
"minimalStyle": "簡約",
"styledMode": "精緻",
"minimalTooltip": "使用簡約模式以加快產生速度(無顏色)",
"regenerate": "重新產生回應",
"copyResponse": "複製回應",
"copied": "已複製!",
"failedToCopy": "複製失敗",
"failedToCopyDetail": "複製訊息失敗。請手動複製或檢查剪貼簿權限。",
"goodResponse": "有幫助",
"badResponse": "無幫助",
"clickToEdit": "點擊編輯",
"editMessage": "編輯訊息",
"saveAndSubmit": "儲存並提交",
"ExtractURL": "從 URL 擷取"
},
"examples": {
"title": "用 AI 建立圖表",
"subtitle": "描述您想要建立的內容或上傳圖片進行複製",
"quickExamples": "快速範例",
"paperToDiagram": "文件轉圖表",
"paperDescription": "上傳 .pdf, .txt, .md, .json, .csv, .py, .js, .ts 等檔案",
"animatedDiagram": "動畫圖表",
"animatedDescription": "繪製帶有動畫連接器的 Transformer 架構",
"awsArchitecture": "AWS 架構",
"awsDescription": "使用 AWS 圖示建立雲端架構圖",
"replicateFlowchart": "複製流程圖",
"replicateDescription": "上傳並複製現有流程圖",
"creativeDrawing": "創意繪圖",
"creativeDescription": "繪製有趣且富有創意的內容",
"cachedNote": "範例已快取,可即時回應",
"mcpServer": "MCP 伺服器",
"mcpDescription": "在 Claude Desktop、VS Code 和 Cursor 中使用",
"preview": "預覽"
},
"settings": {
"title": "設定",
"description": "配置您的應用程式設定。",
"apiKeysModels": "API 金鑰和模型",
"apiKeysModelsDescription": "配置 AI 提供商和 API 金鑰。",
"accessCode": "存取碼",
"accessCodePlaceholder": "輸入存取碼",
"accessCodeDescription": "使用此應用程式需要存取碼。",
"aiProvider": "AI 提供商設定",
"aiProviderDescription": "使用您自己的 API 金鑰來繞過使用限制。您的金鑰僅儲存在瀏覽器本機,不會儲存在伺服器上。",
"provider": "提供商",
"modelId": "模型 ID",
"apiKey": "API 金鑰",
"apiKeyPlaceholder": "您的 API 金鑰",
"baseUrl": "基礎 URL可選",
"customEndpoint": "自訂端點 URL",
"overrides": "覆寫",
"clearSettings": "清除設定",
"useServerDefault": "使用伺服器預設值",
"language": "語言",
"languageDescription": "選擇介面語言。",
"theme": "主題",
"themeDescription": "介面和 DrawIO 畫布的深色/淺色模式。",
"drawioStyle": "DrawIO 樣式",
"drawioStyleDescription": "畫布樣式:",
"switchTo": "切換到",
"minimal": "簡約",
"sketch": "草圖",
"diagramStyle": "圖表樣式",
"diagramStyleDescription": "切換簡約與精緻圖表輸出模式。",
"sendShortcut": "傳送快捷鍵",
"sendShortcutDescription": "選擇傳送訊息的方式。",
"enterToSend": "Enter 傳送",
"ctrlEnterToSend": "Cmd/Ctrl+Enter 傳送",
"diagramActions": "圖表操作",
"diagramActionsDescription": "管理圖表歷史紀錄和匯出",
"history": "歷史紀錄",
"download": "下載",
"proxy": "代理設定",
"proxyDescription": "配置 API 請求的 HTTP/HTTPS 代理(僅桌面版)",
"httpProxy": "HTTP 代理",
"httpsProxy": "HTTPS 代理",
"applyProxy": "套用",
"proxyApplied": "代理設定已套用",
"diagramValidation": "圖表驗證(實驗性)",
"diagramValidationDescription": "使用視覺語言模型驗證產生的圖表。需要支援視覺的模型,如 GPT-5.2 或 Sonnet-4.5。",
"enabled": "已啟用",
"disabled": "已停用",
"customSystemMessage": "自訂系統訊息",
"customSystemMessageDescription": "新增自訂指示,將附加到 AI 的系統提示末尾。",
"customSystemMessagePlaceholder": "例如:圖表始終使用藍色配色方案..."
},
"save": {
"title": "儲存圖表",
"description": "選擇格式和檔案名稱以儲存您的圖表。",
"format": "格式",
"filename": "檔案名稱",
"filenamePlaceholder": "輸入檔案名稱",
"formats": {
"drawio": "Draw.io XML",
"png": "PNG 圖片",
"svg": "SVG 圖片"
},
"savedSuccessfully": "儲存成功!"
},
"history": {
"title": "圖表歷史",
"description": "在 AI 修改之前儲存的每個圖表。\n點擊圖表以還原它",
"noHistory": "尚無歷史紀錄。傳送訊息以建立圖表歷史。",
"version": "版本",
"restoreTo": "還原到版本 {version}"
},
"dialogs": {
"clearTitle": "清除所有內容?",
"clearDescription": "這將清除目前對話並重設圖表。此操作無法復原。",
"clearEverything": "清除所有內容",
"clearSuccess": "已開始新對話"
},
"errors": {
"maxFiles": "檔案太多。最多允許 {max} 個。",
"onlyMoreAllowed": "只能再新增 {slots} 個檔案",
"fileExceeds": "「{name}」大小為 {size}(超過 {max}MB",
"unsupportedType": "「{name}」不是支援的檔案類型",
"filesRejected": "{count} 個檔案被拒絕:",
"andMore": "...還有 {count} 個",
"invalidAccessCode": "無效或缺少存取碼。請在設定中配置。",
"networkError": "網路錯誤。請檢查您的連線。",
"retryLimit": "已達自動重試限制({max})。請手動重試。",
"continuationRetryLimit": "已達繼續重試限制({max})。圖表可能過於複雜。",
"validationFailed": "圖表驗證失敗。請嘗試重新產生。",
"malformedXml": "AI 產生的圖表 XML 無效。請嘗試重新產生。",
"failedToProcess": "無法處理圖表。請嘗試重新產生。",
"sessionCorrupted": "工作階段資料已損壞。重新開始。",
"failedToSave": "無法儲存訊息到 localStorage",
"failedToRestore": "無法從 localStorage 還原",
"failedToPersist": "卸載前無法持久化狀態",
"failedToExport": "取得圖表資料時出錯",
"failedToLoadExample": "載入範例圖片時出錯",
"failedToRecordFeedback": "記錄您的回饋失敗。請重試。",
"storageUpdateFailed": "聊天已清除,但無法更新瀏覽器儲存空間"
},
"quota": {
"dailyLimit": "已達每日配額",
"tokenLimit": "已達每日令牌限制",
"tpmLimit": "速率限制",
"tpmMessage": "請求過多。請稍等片刻。",
"tpmMessageDetailed": "達到速率限制({limit} 令牌/分鐘)。請等待 {seconds} 秒後再傳送請求。",
"messageApi": "看來您今天的體驗次數已達上限。非常高興您玩得開心,雖然本專案由字節跳動豆包慷慨贊助,但為了確保大家都能公平使用,我們不得不對使用量做一點小小的限制。",
"messageApiSelfHosted": null,
"messageToken": "看來您今天的 Token 用量已達上限。非常高興您玩得開心,雖然本專案由字節跳動豆包慷慨贊助,但為了確保大家都能公平使用,我們不得不對使用量做一點小小的限制。",
"messageTokenSelfHosted": null,
"tip": "<strong>提示:</strong>您可以使用自己的 API 金鑰(點擊設定圖示)或自行託管專案來繞過這些限制。",
"tipSelfHosted": "<strong>提示:</strong>您可以在設定中配置自己的 API 金鑰以繼續使用服務。",
"reset": "您的限制將在明天重設。感謝您的理解。",
"doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">點此註冊</a>可獲得每個模型 50 萬免費 Token包括豆包、DeepSeek 和 Kimi然後在模型設定中配置您的 API Key。",
"configModel": "使用您的金鑰",
"selfHost": "自行託管",
"sponsor": "贊助",
"learnMore": "了解更多 →",
"usedOf": "{used}/{limit}"
},
"tools": {
"generateDiagram": "產生圖表",
"editDiagram": "編輯圖表",
"appendDiagram": "繼續圖表",
"complete": "完成",
"error": "錯誤",
"truncated": "已截斷"
},
"file": {
"reading": "讀取中...",
"chars": "字元",
"removeFile": "移除檔案"
},
"url": {
"title": "從 URL 擷取內容",
"description": "貼上 URL 以擷取和分析其內容",
"Extracting": "擷取中...",
"extract": "擷取",
"Cancel": "取消",
"enterUrl": "請輸入 URL",
"invalidFormat": "URL 格式無效"
},
"reasoning": {
"thinking": "思考中...",
"thoughtFor": "思考了 {duration} 秒",
"thoughtBrief": "思考了幾秒鐘"
},
"dev": {
"title": "開發XML 串流模擬器",
"preset": "預設:",
"selectPreset": "選擇預設...",
"clear": "清除",
"placeholder": "在此貼上 mxCell XML 或選擇預設...",
"interval": "間隔:",
"chars": "字元:",
"streaming": "串流傳輸中...",
"simulate": "模擬",
"stop": "停止",
"testQuotaToast": "測試配額提示",
"simulatingMessage": "[開發] 模擬 XML 串流傳輸",
"successMessage": "成功顯示圖表。"
},
"about": {
"modelChange": "模型變更與用量限制",
"walletCrying": "(別名:我的錢包頂不住了)",
"seekingSponsorship": "尋求贊助(求大佬撈一把)",
"contactMe": "聯絡我",
"usageNotice": "由於使用量過高,我已將模型從 Claude 更換為 minimax-m2並設定了一些用量限制。詳情請查看關於頁面。"
},
"sessionHistory": {
"tooltip": "聊天歷史",
"newChat": "新對話",
"empty": "暫無聊天紀錄",
"emptyHint": "開始對話吧",
"today": "今天",
"yesterday": "昨天",
"thisWeek": "本週",
"earlier": "更早",
"deleteTitle": "刪除此對話?",
"deleteDescription": "這將永久刪除此聊天工作階段及其圖表。此操作無法復原。",
"recentChats": "最近對話",
"justNow": "剛剛",
"searchPlaceholder": "搜尋對話...",
"noResults": "未找到對話"
},
"validation": {
"title": "驗證圖表",
"capturing": "截圖中",
"validating": "驗證中",
"validatingWithAttempt": "驗證中 ({attempt}/{max})",
"valid": "通過",
"validWithWarnings": "通過(有警告)",
"issuesFound": "發現問題",
"error": "錯誤",
"skipped": "已跳過",
"capturedScreenshot": "截圖預覽:",
"issuesFoundLabel": "發現的問題:",
"suggestions": "建議:",
"passedValidation": "圖表通過視覺驗證 - 未發現問題。",
"improvementRequested": "改進請求已傳送 - 請查看下方新圖表",
"improveWithSuggestions": "根據建議改進",
"regenerateWithFeedback": "使用驗證回饋重新產生圖表"
},
"modelConfig": {
"title": "AI 模型配置",
"description": "配置多個 AI 提供商和模型",
"configure": "配置",
"addProvider": "新增提供商",
"addModel": "新增模型",
"modelId": "模型 ID",
"modelLabel": "顯示名稱",
"streaming": "啟用串流輸出",
"deleteProvider": "刪除提供商",
"deleteModel": "刪除模型",
"noModels": "尚未配置模型。新增模型以開始使用。",
"selectProvider": "選擇一個提供商或新增",
"configureMultiple": "配置多個 AI 提供商並輕鬆切換",
"apiKeyStored": "API 金鑰儲存在您的瀏覽器本機",
"test": "測試",
"validationError": "驗證失敗",
"addModelFirst": "請先新增至少一個模型以進行驗證",
"providers": "提供商",
"addProviderHint": "新增提供商即可開始使用",
"verified": "已驗證",
"configuration": "配置",
"displayName": "顯示名稱",
"awsAccessKeyId": "AWS 存取金鑰 ID",
"awsSecretAccessKey": "AWS Secret Access Key",
"awsRegion": "AWS 區域",
"selectRegion": "選擇區域",
"apiKey": "API 金鑰",
"enterApiKey": "輸入您的 API 金鑰",
"enterSecretKey": "輸入您的 Secret Key",
"baseUrl": "基礎 URL",
"optional": "(可選)",
"baseUrlWithExample": "基礎 URL可選例如 {example}",
"customEndpoint": "自訂端點 URL",
"minimaxBaseUrlHint": "使用 /anthropic 端點為 Anthropic 相容 API推薦或使用 /v1 端點為 OpenAI 相容 API",
"models": "模型",
"customModelId": "自訂模型 ID...",
"allAdded": "已全部新增",
"suggested": "推薦",
"noModelsConfigured": "尚未配置模型",
"modelIdEmpty": "模型 ID 不能為空",
"modelIdExists": "此模型 ID 已存在",
"configureProviders": "配置 AI 提供商",
"selectProviderHint": "從列表中選擇提供商或新增以配置 API 金鑰和模型",
"deleteConfirmDesc": "確定要刪除 {name} 嗎?這將移除所有配置的模型且無法復原。",
"typeToConfirm": "輸入「{name}」以確認",
"typeProviderName": "輸入提供商名稱...",
"modelsConfiguredCount": "已配置 {count} 個模型",
"validationFailedCount": "{count} 個模型驗證失敗",
"cancel": "取消",
"delete": "刪除",
"clickToChange": "(點擊變更)",
"usingServerDefault": "使用伺服器預設模型",
"selectModel": "選擇模型",
"searchModels": "搜尋模型...",
"noVerifiedModels": "沒有已驗證的模型。請先測試您的模型。",
"noModelsFound": "未找到模型。",
"default": "預設",
"serverDefault": "伺服器預設",
"serverModels": "伺服器模型",
"userModels": "使用者模型",
"configureModels": "配置模型...",
"onlyVerifiedShown": "僅顯示已驗證的模型",
"showUnvalidatedModels": "顯示未驗證的模型",
"allModelsShown": "顯示所有模型(包括未驗證的)",
"unvalidatedModelWarning": "此模型尚未驗證",
"serverDefaultModel": "伺服器預設模型"
}
}

View File

@@ -28,18 +28,12 @@
"azure": "Azure OpenAI",
"openrouter": "OpenRouter",
"deepseek": "DeepSeek",
"siliconflow": "SiliconFlow",
"modelscope": "ModelScope",
"minimax": "MiniMax",
"glm": "GLM",
"qwen": "Qwen",
"kimi": "Kimi",
"qiniu": "Qiniu"
"siliconflow": "SiliconFlow"
},
"chat": {
"placeholder": "描述您的图表或上传文件...",
"send": "发送",
"stopGeneration": "停止生成",
"sending": "发送中...",
"sendMessage": "发送消息",
"clearConversation": "清除对话",
"diagramHistory": "图表历史",
@@ -57,8 +51,7 @@
"badResponse": "无帮助",
"clickToEdit": "点击编辑",
"editMessage": "编辑消息",
"saveAndSubmit": "保存并提交",
"ExtractURL": "从 URL 提取"
"saveAndSubmit": "保存并提交"
},
"examples": {
"title": "用 AI 创建图表",
@@ -82,8 +75,6 @@
"settings": {
"title": "设置",
"description": "配置您的应用程序设置。",
"apiKeysModels": "API 密钥和模型",
"apiKeysModelsDescription": "配置 AI 提供商和 API 密钥。",
"accessCode": "访问码",
"accessCodePlaceholder": "输入访问码",
"accessCodeDescription": "使用此应用程序需要访问码。",
@@ -107,29 +98,14 @@
"switchTo": "切换到",
"minimal": "简约",
"sketch": "草图",
"closeProtection": "关闭确认",
"closeProtectionDescription": "离开页面时显示确认。",
"diagramStyle": "图表样式",
"diagramStyleDescription": "切换简约与精致图表输出模式。",
"sendShortcut": "发送快捷键",
"sendShortcutDescription": "选择发送消息的方式。",
"enterToSend": "回车发送",
"ctrlEnterToSend": "Cmd/Ctrl+回车发送",
"diagramActions": "图表操作",
"diagramActionsDescription": "管理图表历史记录和导出",
"history": "历史记录",
"download": "下载",
"proxy": "代理设置",
"proxyDescription": "配置 API 请求的 HTTP/HTTPS 代理(仅桌面版)",
"httpProxy": "HTTP 代理",
"httpsProxy": "HTTPS 代理",
"applyProxy": "应用",
"proxyApplied": "代理设置已应用",
"diagramValidation": "图表验证(实验性)",
"diagramValidationDescription": "使用视觉语言模型验证生成的图表。需要支持视觉的模型,如 GPT-5.2 或 Sonnet-4.5。",
"enabled": "已启用",
"disabled": "已禁用",
"customSystemMessage": "自定义系统消息",
"customSystemMessageDescription": "添加自定义指令,将附加到 AI 的系统提示末尾。",
"customSystemMessagePlaceholder": "例如:图表始终使用蓝色配色方案..."
"download": "下载"
},
"save": {
"title": "保存图表",
@@ -141,8 +117,7 @@
"drawio": "Draw.io XML",
"png": "PNG 图片",
"svg": "SVG 图片"
},
"savedSuccessfully": "保存成功!"
}
},
"history": {
"title": "图表历史",
@@ -187,11 +162,8 @@
"tpmMessage": "请求过多。请稍等片刻。",
"tpmMessageDetailed": "达到速率限制({limit} 令牌/分钟)。请等待 {seconds} 秒后再发送请求。",
"messageApi": "看来您今天的体验次数已达上限。非常高兴您玩得开心,虽然本项目由字节跳动豆包慷慨赞助,但为了确保大家都能公平使用,我们不得不对使用量做一点小小的限制。",
"messageApiSelfHosted": null,
"messageToken": "看来您今天的 Token 用量已达上限。非常高兴您玩得开心,虽然本项目由字节跳动豆包慷慨赞助,但为了确保大家都能公平使用,我们不得不对使用量做一点小小的限制。",
"messageTokenSelfHosted": null,
"tip": "<strong>提示:</strong>您可以使用自己的 API 密钥(点击设置图标)或自托管项目来绕过这些限制。",
"tipSelfHosted": "<strong>提示:</strong>您可以在设置中配置自己的 API 密钥以继续使用服务。",
"reset": "您的限制将在明天重置。感谢您的理解。",
"doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">点击此处注册</a>可获得每个模型 50 万免费 Token包括豆包、DeepSeek 和 Kimi然后在模型设置中配置您的 API Key。",
"configModel": "使用您的密钥",
@@ -213,15 +185,6 @@
"chars": "字符",
"removeFile": "移除文件"
},
"url": {
"title": "从 URL 提取内容",
"description": "粘贴 URL 以提取和分析其内容",
"Extracting": "提取中...",
"extract": "提取",
"Cancel": "取消",
"enterUrl": "请输入 URL",
"invalidFormat": "URL 格式无效"
},
"reasoning": {
"thinking": "思考中...",
"thoughtFor": "思考了 {duration} 秒",
@@ -249,40 +212,6 @@
"contactMe": "联系我",
"usageNotice": "由于使用量过高,我已将模型从 Claude 更换为 minimax-m2并设置了一些用量限制。详情请查看关于页面。"
},
"sessionHistory": {
"tooltip": "聊天历史",
"newChat": "新对话",
"empty": "暂无聊天记录",
"emptyHint": "开始对话吧",
"today": "今天",
"yesterday": "昨天",
"thisWeek": "本周",
"earlier": "更早",
"deleteTitle": "删除此对话?",
"deleteDescription": "这将永久删除此聊天会话及其图表。此操作无法撤消。",
"recentChats": "最近对话",
"justNow": "刚刚",
"searchPlaceholder": "搜索对话...",
"noResults": "未找到对话"
},
"validation": {
"title": "验证图表",
"capturing": "截图中",
"validating": "验证中",
"validatingWithAttempt": "验证中 ({attempt}/{max})",
"valid": "通过",
"validWithWarnings": "通过(有警告)",
"issuesFound": "发现问题",
"error": "错误",
"skipped": "已跳过",
"capturedScreenshot": "截图预览:",
"issuesFoundLabel": "发现的问题:",
"suggestions": "建议:",
"passedValidation": "图表通过视觉验证 - 未发现问题。",
"improvementRequested": "改进请求已发送 - 请查看下方新图表",
"improveWithSuggestions": "根据建议改进",
"regenerateWithFeedback": "使用验证反馈重新生成图表"
},
"modelConfig": {
"title": "AI 模型配置",
"description": "配置多个 AI 提供商和模型",
@@ -315,9 +244,7 @@
"enterSecretKey": "输入您的 Secret Key",
"baseUrl": "基础 URL",
"optional": "(可选)",
"baseUrlWithExample": "基础 URL可选例如 {example}",
"customEndpoint": "自定义端点 URL",
"minimaxBaseUrlHint": "使用 /anthropic 端点为 Anthropic 兼容 API推荐或使用 /v1 端点为 OpenAI 兼容 API",
"models": "模型",
"customModelId": "自定义模型 ID...",
"allAdded": "已全部添加",
@@ -342,13 +269,10 @@
"noModelsFound": "未找到模型。",
"default": "默认",
"serverDefault": "服务器默认",
"serverModels": "服务器模型",
"userModels": "用户模型",
"configureModels": "配置模型...",
"onlyVerifiedShown": "仅显示已验证的模型",
"showUnvalidatedModels": "显示未验证的模型",
"allModelsShown": "显示所有模型(包括未验证的)",
"unvalidatedModelWarning": "此模型尚未验证",
"serverDefaultModel": "服务器默认模型"
"unvalidatedModelWarning": "此模型尚未验证"
}
}

View File

@@ -1,155 +0,0 @@
import fs from "fs/promises"
import path from "path"
import { z } from "zod"
import type { ProviderName } from "@/lib/types/model-config"
import { PROVIDER_INFO } from "@/lib/types/model-config"
export const ProviderNameSchema: z.ZodType<ProviderName> = z
.string()
.refine((val): val is ProviderName => val in PROVIDER_INFO, {
message: "Invalid provider name",
})
export const ServerProviderSchema = z.object({
name: z.string().min(1),
provider: ProviderNameSchema,
models: z.array(z.string().min(1)),
// Optional: custom environment variable name(s) for API key
// Can be a single string or array of strings for load balancing
// e.g., "OPENAI_API_KEY_TEAM_A" or ["OPENAI_KEY_1", "OPENAI_KEY_2"]
apiKeyEnv: z
.union([z.string().min(1), z.array(z.string().min(1)).min(1)])
.optional(),
// Optional: custom environment variable name for base URL
baseUrlEnv: z.string().min(1).optional(),
// Optional: mark the first model in this provider as the default
default: z.boolean().optional(),
})
export const ServerModelsConfigSchema = z.object({
providers: z.array(ServerProviderSchema),
})
export type ServerProviderConfig = z.infer<typeof ServerProviderSchema>
export type ServerModelsConfig = z.infer<typeof ServerModelsConfigSchema>
export interface FlattenedServerModel {
id: string // "server:<slugified-name>:<modelId>" - name ensures uniqueness for multiple API keys per provider
modelId: string
provider: ProviderName
providerLabel: string
isDefault: boolean
// Custom env var name(s) for API key (optional)
// Can be a single string or array of strings for load balancing
apiKeyEnv?: string | string[]
baseUrlEnv?: string
}
/**
* Convert provider name to URL-safe slug for use in model ID
* e.g., "OpenAI Production" → "openai-production"
*/
function slugify(name: string): string {
return name
.toLowerCase()
.replace(/[^a-z0-9]+/g, "-")
.replace(/^-|-$/g, "")
}
function getConfigPath(): string {
const custom = process.env.AI_MODELS_CONFIG_PATH
if (custom && custom.trim().length > 0) return custom
return path.join(process.cwd(), "ai-models.json")
}
export async function loadRawServerModelsConfig(): Promise<ServerModelsConfig | null> {
// Priority 1: AI_MODELS_CONFIG env var (JSON string) - for cloud deployments
const envConfig = process.env.AI_MODELS_CONFIG
if (envConfig && envConfig.trim().length > 0) {
try {
const json = JSON.parse(envConfig)
return ServerModelsConfigSchema.parse(json)
} catch (err) {
console.error(
"[server-model-config] Failed to parse AI_MODELS_CONFIG:",
err,
)
return null
}
}
// Priority 2: ai-models.json file
const configPath = getConfigPath()
try {
const jsonStr = await fs.readFile(configPath, "utf8")
const json = JSON.parse(jsonStr)
return ServerModelsConfigSchema.parse(json)
} catch (err: any) {
if (err?.code === "ENOENT") {
return null
}
console.error(
"[server-model-config] Failed to load ai-models.json:",
err,
)
return null
}
}
export async function loadFlattenedServerModels(): Promise<
FlattenedServerModel[]
> {
const cfg = await loadRawServerModelsConfig()
if (!cfg) return []
const defaultProvider = process.env.AI_PROVIDER as ProviderName | undefined
const defaultModelId = process.env.AI_MODEL
const flattened: FlattenedServerModel[] = []
for (const p of cfg.providers) {
const providerLabel =
p.name || PROVIDER_INFO[p.provider]?.label || p.provider
// Use slugified name for unique ID (supports multiple API keys per provider)
const nameSlug = slugify(p.name)
for (const modelId of p.models) {
const id = `server:${nameSlug}:${modelId}`
// Default model priority:
// 1. From ai-models.json: first model of provider with default: true
// 2. From env vars: AI_MODEL matches (legacy behavior)
const isDefault =
(p.default === true && modelId === p.models[0]) ||
(!!defaultModelId &&
modelId === defaultModelId &&
(!defaultProvider || defaultProvider === p.provider))
flattened.push({
id,
modelId,
provider: p.provider,
providerLabel,
isDefault,
apiKeyEnv: p.apiKeyEnv,
baseUrlEnv: p.baseUrlEnv,
})
}
}
return flattened
}
/**
* Find a server model by its ID (format: "server:<slugified-name>:<modelId>")
* Returns the model config including apiKeyEnv/baseUrlEnv if configured
*/
export async function findServerModelById(
modelId: string,
): Promise<FlattenedServerModel | null> {
if (!modelId.startsWith("server:")) return null
const models = await loadFlattenedServerModels()
return models.find((m) => m.id === modelId) || null
}

View File

@@ -1,402 +0,0 @@
import { type DBSchema, type IDBPDatabase, openDB } from "idb"
import { nanoid } from "nanoid"
// Constants
const DB_NAME = "next-ai-drawio"
const DB_VERSION = 1
const STORE_NAME = "sessions"
const MIGRATION_FLAG = "next-ai-drawio-migrated-to-idb"
const MAX_SESSIONS = 50
// Types
export interface ChatSession {
id: string
title: string
createdAt: number
updatedAt: number
messages: StoredMessage[]
xmlSnapshots: [number, string][]
diagramXml: string
thumbnailDataUrl?: string // Small PNG preview of the diagram
diagramHistory?: { svg: string; xml: string }[] // Version history of diagram edits
}
export interface StoredMessage {
id: string
role: "user" | "assistant" | "system"
parts: Array<{ type: string; [key: string]: unknown }>
}
export interface SessionMetadata {
id: string
title: string
createdAt: number
updatedAt: number
messageCount: number
hasDiagram: boolean
thumbnailDataUrl?: string
}
interface ChatSessionDB extends DBSchema {
sessions: {
key: string
value: ChatSession
indexes: { "by-updated": number }
}
}
// Database singleton
let dbPromise: Promise<IDBPDatabase<ChatSessionDB>> | null = null
const resetDBPromise = () => {
dbPromise = null
}
const isClosingError = (error: unknown): boolean => {
return (
error instanceof DOMException &&
error.name === "InvalidStateError" &&
/closing/i.test(error.message)
)
}
const withDB = async <T>(
action: (db: IDBPDatabase<ChatSessionDB>) => Promise<T>,
): Promise<T> => {
try {
const db = await getDB()
return await action(db)
} catch (error) {
if (isClosingError(error)) {
resetDBPromise()
const db = await getDB()
return await action(db)
}
throw error
}
}
async function getDB(): Promise<IDBPDatabase<ChatSessionDB>> {
if (!dbPromise) {
dbPromise = openDB<ChatSessionDB>(DB_NAME, DB_VERSION, {
upgrade(db, oldVersion) {
if (oldVersion < 1) {
const store = db.createObjectStore(STORE_NAME, {
keyPath: "id",
})
store.createIndex("by-updated", "updatedAt")
}
// Future migrations: if (oldVersion < 2) { ... }
},
terminated() {
resetDBPromise()
},
})
dbPromise
.then((db) => {
db.onversionchange = () => {
db.close()
resetDBPromise()
}
db.onclose = () => {
resetDBPromise()
}
})
.catch(() => {
resetDBPromise()
})
}
return dbPromise
}
// Check if IndexedDB is available
export function isIndexedDBAvailable(): boolean {
if (typeof window === "undefined") return false
try {
return "indexedDB" in window && window.indexedDB !== null
} catch {
return false
}
}
// Check if IndexedDB is actually usable (not just present).
// Note: Do NOT close the db here - getDB() returns a shared singleton connection
// that other code depends on.
export async function isIndexedDBUsable(): Promise<boolean> {
if (!isIndexedDBAvailable()) return false
try {
await getDB()
return true
} catch {
return false
}
}
// CRUD Operations
export async function getAllSessionMetadata(): Promise<SessionMetadata[]> {
if (!isIndexedDBAvailable()) return []
try {
return await withDB(async (db) => {
const tx = db.transaction(STORE_NAME, "readonly")
const index = tx.store.index("by-updated")
const metadata: SessionMetadata[] = []
// Use cursor to read only metadata fields (avoids loading full messages/XML)
let cursor = await index.openCursor(null, "prev") // newest first
while (cursor) {
const s = cursor.value
metadata.push({
id: s.id,
title: s.title,
createdAt: s.createdAt,
updatedAt: s.updatedAt,
messageCount: s.messages.length,
hasDiagram:
!!s.diagramXml && s.diagramXml.trim().length > 0,
thumbnailDataUrl: s.thumbnailDataUrl,
})
cursor = await cursor.continue()
}
return metadata
})
} catch (error) {
console.error("Failed to get session metadata:", error)
return []
}
}
export async function getSession(id: string): Promise<ChatSession | null> {
if (!isIndexedDBAvailable()) return null
try {
return await withDB(async (db) => {
return (await db.get(STORE_NAME, id)) || null
})
} catch (error) {
console.error("Failed to get session:", error)
return null
}
}
export async function saveSession(session: ChatSession): Promise<boolean> {
if (!isIndexedDBAvailable()) return false
try {
await withDB(async (db) => {
await db.put(STORE_NAME, session)
})
return true
} catch (error) {
// Handle quota exceeded
if (
error instanceof DOMException &&
error.name === "QuotaExceededError"
) {
console.warn("Storage quota exceeded, deleting oldest session...")
await deleteOldestSession()
// Retry once
try {
await withDB(async (db) => {
await db.put(STORE_NAME, session)
})
return true
} catch (retryError) {
console.error(
"Failed to save session after cleanup:",
retryError,
)
return false
}
} else {
console.error("Failed to save session:", error)
return false
}
}
}
export async function deleteSession(id: string): Promise<void> {
if (!isIndexedDBAvailable()) return
try {
await withDB(async (db) => {
await db.delete(STORE_NAME, id)
})
} catch (error) {
console.error("Failed to delete session:", error)
}
}
export async function getSessionCount(): Promise<number> {
if (!isIndexedDBAvailable()) return 0
try {
return await withDB(async (db) => {
return await db.count(STORE_NAME)
})
} catch (error) {
console.error("Failed to get session count:", error)
return 0
}
}
export async function deleteOldestSession(): Promise<void> {
if (!isIndexedDBAvailable()) return
try {
await withDB(async (db) => {
const tx = db.transaction(STORE_NAME, "readwrite")
const index = tx.store.index("by-updated")
const cursor = await index.openCursor()
if (cursor) {
await cursor.delete()
}
await tx.done
})
} catch (error) {
console.error("Failed to delete oldest session:", error)
}
}
// Enforce max sessions limit
export async function enforceSessionLimit(): Promise<void> {
const count = await getSessionCount()
if (count > MAX_SESSIONS) {
const toDelete = count - MAX_SESSIONS
for (let i = 0; i < toDelete; i++) {
await deleteOldestSession()
}
}
}
// Helper: Create a new empty session
export function createEmptySession(): ChatSession {
return {
id: nanoid(),
title: "New Chat",
createdAt: Date.now(),
updatedAt: Date.now(),
messages: [],
xmlSnapshots: [],
diagramXml: "",
}
}
// Helper: Extract title from first user message (truncated to reasonable length)
const MAX_TITLE_LENGTH = 100
export function extractTitle(messages: StoredMessage[]): string {
const firstUserMessage = messages.find((m) => m.role === "user")
if (!firstUserMessage) return "New Chat"
const textPart = firstUserMessage.parts.find((p) => p.type === "text")
if (!textPart || typeof textPart.text !== "string") return "New Chat"
const text = textPart.text.trim()
if (!text) return "New Chat"
// Truncate long titles
if (text.length > MAX_TITLE_LENGTH) {
return text.slice(0, MAX_TITLE_LENGTH).trim() + "..."
}
return text
}
// Helper: Sanitize UIMessage to StoredMessage
export function sanitizeMessage(message: unknown): StoredMessage | null {
if (!message || typeof message !== "object") return null
const msg = message as Record<string, unknown>
if (!msg.id || !msg.role) return null
const role = msg.role as string
if (!["user", "assistant", "system"].includes(role)) return null
// Extract parts, removing streaming state artifacts
let parts: Array<{ type: string; [key: string]: unknown }> = []
if (Array.isArray(msg.parts)) {
parts = msg.parts.map((part: unknown) => {
if (!part || typeof part !== "object") return { type: "unknown" }
const p = part as Record<string, unknown>
// Remove streaming-related fields
const { isStreaming, streamingState, ...cleanPart } = p
return cleanPart as { type: string; [key: string]: unknown }
})
}
return {
id: msg.id as string,
role: role as "user" | "assistant" | "system",
parts,
}
}
export function sanitizeMessages(messages: unknown[]): StoredMessage[] {
return messages
.map(sanitizeMessage)
.filter((m): m is StoredMessage => m !== null)
}
// Migration from localStorage
export async function migrateFromLocalStorage(): Promise<string | null> {
if (typeof window === "undefined") return null
if (!isIndexedDBAvailable()) return null
// Check if already migrated
if (localStorage.getItem(MIGRATION_FLAG)) return null
try {
const savedMessages = localStorage.getItem("next-ai-draw-io-messages")
const savedSnapshots = localStorage.getItem(
"next-ai-draw-io-xml-snapshots",
)
const savedXml = localStorage.getItem("next-ai-draw-io-diagram-xml")
let newSessionId: string | null = null
let migrationSucceeded = false
if (savedMessages) {
const messages = JSON.parse(savedMessages)
if (Array.isArray(messages) && messages.length > 0) {
const sanitized = sanitizeMessages(messages)
const session: ChatSession = {
id: nanoid(),
title: extractTitle(sanitized),
createdAt: Date.now(),
updatedAt: Date.now(),
messages: sanitized,
xmlSnapshots: savedSnapshots
? JSON.parse(savedSnapshots)
: [],
diagramXml: savedXml || "",
}
const saved = await saveSession(session)
if (saved) {
// Verify the session was actually written
const verified = await getSession(session.id)
if (verified) {
newSessionId = session.id
migrationSucceeded = true
}
}
} else {
// Empty array or invalid data - nothing to migrate, mark as success
migrationSucceeded = true
}
} else {
// No data to migrate - mark as success
migrationSucceeded = true
}
// Only clean up old data if migration succeeded
if (migrationSucceeded) {
localStorage.setItem(MIGRATION_FLAG, "true")
localStorage.removeItem("next-ai-draw-io-messages")
localStorage.removeItem("next-ai-draw-io-xml-snapshots")
localStorage.removeItem("next-ai-draw-io-diagram-xml")
} else {
console.warn(
"Migration to IndexedDB failed - keeping localStorage data for retry",
)
}
return newSessionId
} catch (error) {
console.error("Migration failed:", error)
// Don't mark as migrated - allow retry on next load
return null
}
}

View File

@@ -1,63 +0,0 @@
/**
* SSRF (Server-Side Request Forgery) protection utilities
*/
/**
* Check if URL points to private/internal network
* Blocks: localhost, private IPs, link-local, AWS metadata service
*/
export 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)
if (a === 10) return true // 10.0.0.0/8
if (a === 172 && b >= 16 && b <= 31) return true // 172.16.0.0/12
if (a === 192 && b === 168) return true // 192.168.0.0/16
if (a === 169 && b === 254) return true // 169.254.0.0/16 (link-local)
if (a === 127) return true // 127.0.0.0/8 (loopback)
}
// Block common internal hostnames
if (
hostname.endsWith(".local") ||
hostname.endsWith(".internal") ||
hostname.endsWith(".localhost")
) {
return true
}
return false
} catch {
return true // Invalid URL - block it
}
}
/**
* Whether private URLs are allowed (defaults to true)
* Set ALLOW_PRIVATE_URLS=false to block private URLs
*/
export const allowPrivateUrls = process.env.ALLOW_PRIVATE_URLS !== "false"

View File

@@ -1,7 +1,13 @@
// Centralized localStorage keys for quota tracking and settings
// Chat data is now stored in IndexedDB via session-storage.ts
// Centralized localStorage keys
// Consolidates all storage keys from chat-panel.tsx and settings-dialog.tsx
export const STORAGE_KEYS = {
// Chat data
messages: "next-ai-draw-io-messages",
xmlSnapshots: "next-ai-draw-io-xml-snapshots",
diagramXml: "next-ai-draw-io-diagram-xml",
sessionId: "next-ai-draw-io-session-id",
// Quota tracking
requestCount: "next-ai-draw-io-request-count",
requestDate: "next-ai-draw-io-request-date",
@@ -12,6 +18,7 @@ export const STORAGE_KEYS = {
// Settings
accessCode: "next-ai-draw-io-access-code",
closeProtection: "next-ai-draw-io-close-protection",
accessCodeRequired: "next-ai-draw-io-access-code-required",
aiProvider: "next-ai-draw-io-ai-provider",
aiBaseUrl: "next-ai-draw-io-ai-base-url",
@@ -21,13 +28,4 @@ export const STORAGE_KEYS = {
// Multi-model configuration
modelConfigs: "next-ai-draw-io-model-configs",
selectedModelId: "next-ai-draw-io-selected-model-id",
// Chat input preferences
sendShortcut: "next-ai-draw-io-send-shortcut",
// Diagram validation
vlmValidationEnabled: "next-ai-draw-io-vlm-validation-enabled",
// Custom system message
customSystemMessage: "next-ai-draw-io-custom-system-message",
} as const

View File

@@ -11,7 +11,6 @@ export const DEFAULT_SYSTEM_PROMPT = `
You are an expert diagram creation assistant specializing in draw.io XML generation.
Your primary function is chat with user and crafting clear, well-organized visual diagrams through precise XML specifications.
You can see images that users upload, and you can read the text content extracted from PDF documents they upload.
ALWAYS respond in the same language as the user's last message.
When you are asked to create a diagram, briefly describe your plan about the layout and structure to avoid object overlapping or edge cross the objects. (2-3 sentences max), then use display_diagram tool to generate the XML.
After generating or editing a diagram, you don't need to say anything. The user can see the diagram - no need to describe it.
@@ -51,9 +50,9 @@ parameters: {
}
---Tool4---
tool name: get_shape_library
description: Get shape/icon library documentation. Use this to discover available icon shapes (AWS, Azure, GCP, Kubernetes, Material Design, etc.) before creating diagrams with special icons. ALWAYS call this before using any icon library — never guess the syntax.
description: Get shape/icon library documentation. Use this to discover available icon shapes (AWS, Azure, GCP, Kubernetes, etc.) before creating diagrams with cloud/tech icons.
parameters: {
library: string // Library name: aws4, azure2, gcp2, kubernetes, cisco19, flowchart, bpmn, material_design, etc.
library: string // Library name: aws4, azure2, gcp2, kubernetes, cisco19, flowchart, bpmn, etc.
}
---End of tools---
@@ -61,7 +60,7 @@ IMPORTANT: Choose the right tool:
- Use display_diagram for: Creating new diagrams, major restructuring, or when the current diagram XML is empty
- Use edit_diagram for: Small modifications, adding/removing elements, changing text/colors, repositioning items
- Use append_diagram for: ONLY when display_diagram was truncated due to output length - continue generating from where you stopped
- Use get_shape_library for: Discovering available icons/shapes when creating diagrams with any icon library (cloud, material design, etc.) — call BEFORE display_diagram
- Use get_shape_library for: Discovering available icons/shapes when creating cloud architecture or technical diagrams (call BEFORE display_diagram)
Core capabilities:
- Generate valid, well-formed XML strings for draw.io diagrams
@@ -92,7 +91,7 @@ Note that:
- When artistic drawings are requested, creatively compose them using standard diagram shapes and connectors while maintaining visual clarity.
- Return XML only via tool calls, never in text responses.
- If user asks you to replicate a diagram based on an image, remember to match the diagram style and layout as closely as possible. Especially, pay attention to the lines and shapes, for example, if the lines are straight or curved, and if the shapes are rounded or square.
- For cloud/tech diagrams (AWS, Azure, GCP, K8s) or when using icon libraries (material_design, webicons, etc.), call get_shape_library first to discover available icon shapes and their correct syntax. NEVER guess icon style syntax — always look it up first.
- For cloud/tech diagrams (AWS, Azure, GCP, K8s), call get_shape_library first to discover available icon shapes and their syntax.
- NEVER include XML comments (<!-- ... -->) in your generated XML. Draw.io strips comments, which breaks edit_diagram patterns.
When using edit_diagram tool:

39
lib/token-counter.ts Normal file
View File

@@ -0,0 +1,39 @@
/**
* Token counting utilities using js-tiktoken
*
* Uses cl100k_base encoding (GPT-4) which is close to Claude's tokenization.
* This is a pure JavaScript implementation, no WASM required.
*/
import { encodingForModel } from "js-tiktoken"
import { DEFAULT_SYSTEM_PROMPT, EXTENDED_SYSTEM_PROMPT } from "./system-prompts"
const encoder = encodingForModel("gpt-4o")
/**
* Count the number of tokens in a text string
* @param text - The text to count tokens for
* @returns The number of tokens
*/
export function countTextTokens(text: string): number {
return encoder.encode(text).length
}
/**
* Get token counts for the system prompts
* Useful for debugging and optimizing prompt sizes
* @returns Object with token counts for default and extended prompts
*/
export function getSystemPromptTokenCounts(): {
default: number
extended: number
additions: number
} {
const defaultTokens = countTextTokens(DEFAULT_SYSTEM_PROMPT)
const extendedTokens = countTextTokens(EXTENDED_SYSTEM_PROMPT)
return {
default: defaultTokens,
extended: extendedTokens,
additions: extendedTokens - defaultTokens,
}
}

View File

@@ -4,10 +4,8 @@ export type ProviderName =
| "openai"
| "anthropic"
| "google"
| "vertexai"
| "azure"
| "bedrock"
| "ollama"
| "openrouter"
| "deepseek"
| "siliconflow"
@@ -15,13 +13,6 @@ export type ProviderName =
| "gateway"
| "edgeone"
| "doubao"
| "modelscope"
| "glm"
| "qwen"
| "qiniu"
| "kimi"
| "minimax"
| "novita"
// Individual model configuration
export interface ModelConfig {
@@ -43,9 +34,6 @@ export interface ProviderConfig {
awsSecretAccessKey?: string
awsRegion?: string
awsSessionToken?: string // Optional, for temporary credentials
// Vertex AI specific fields
vertexApiKey?: string // Express Mode API key
models: ModelConfig[]
validated?: boolean // Has API key been validated
}
@@ -60,7 +48,7 @@ export interface MultiModelConfig {
// Flattened model for dropdown display
export interface FlattenedModel {
id: string // Model config UUID or synthetic server ID (e.g., "server:provider:modelId")
id: string // Model config UUID
modelId: string // Actual model ID
provider: ProviderName
providerLabel: string // Provider display name
@@ -71,38 +59,7 @@ export interface FlattenedModel {
awsSecretAccessKey?: string
awsRegion?: string
awsSessionToken?: string
// Vertex AI specific fields
vertexApiKey?: string // Express Mode API key
validated?: boolean // Has this model been validated
// Source of this model config: user-defined (client) or server-defined
source?: "user" | "server"
// Whether this model is the server default (matches AI_MODEL env var)
isDefault?: boolean
// Custom env var name(s) for server models
// Can be a single string or array of strings for load balancing
apiKeyEnv?: string | string[]
baseUrlEnv?: string
}
// Map provider names to models.dev logo names
export 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
gateway: "vercel",
edgeone: "tencent-cloud",
vertexai: "google",
doubao: "bytedance",
modelscope: "modelscope",
minimax: "minimax",
novita: "novita",
}
// Provider metadata
@@ -110,85 +67,34 @@ export const PROVIDER_INFO: Record<
ProviderName,
{ label: string; defaultBaseUrl?: string }
> = {
openai: {
label: "OpenAI",
defaultBaseUrl: "https://api.openai.com/v1",
},
openai: { label: "OpenAI" },
anthropic: {
label: "Anthropic",
defaultBaseUrl: "https://api.anthropic.com/v1",
},
google: {
label: "Google",
defaultBaseUrl: "https://generativelanguage.googleapis.com/v1beta",
},
vertexai: { label: "Google Vertex AI" },
azure: {
label: "Azure OpenAI",
defaultBaseUrl: "https://your-resource.openai.azure.com/openai",
},
google: { label: "Google" },
azure: { label: "Azure OpenAI" },
bedrock: { label: "Amazon Bedrock" },
ollama: {
label: "Ollama",
defaultBaseUrl: "https://ollama.com/api",
},
openrouter: {
label: "OpenRouter",
defaultBaseUrl: "https://openrouter.ai/api/v1",
},
deepseek: {
label: "DeepSeek",
defaultBaseUrl: "https://api.deepseek.com/v1",
},
openrouter: { label: "OpenRouter" },
deepseek: { label: "DeepSeek" },
siliconflow: {
label: "SiliconFlow",
defaultBaseUrl: "https://api.siliconflow.cn/v1",
defaultBaseUrl: "https://api.siliconflow.com/v1",
},
sglang: {
label: "SGLang",
defaultBaseUrl: "http://127.0.0.1:8000/v1",
},
gateway: {
label: "AI Gateway",
defaultBaseUrl: "https://ai-gateway.vercel.sh/v1/ai",
},
gateway: { label: "AI Gateway" },
edgeone: { label: "EdgeOne Pages" },
doubao: {
label: "Doubao (ByteDance)",
defaultBaseUrl: "https://ark.cn-beijing.volces.com/api/v3",
},
modelscope: {
label: "ModelScope",
defaultBaseUrl: "https://api-inference.modelscope.cn/v1",
},
glm: {
label: "GLM (Zhipu)",
defaultBaseUrl: "https://open.bigmodel.cn/api/paas/v4",
},
qwen: {
label: "Qwen (Alibaba)",
defaultBaseUrl: "https://dashscope.aliyuncs.com/compatible-mode/v1",
},
qiniu: {
label: "Qiniu",
defaultBaseUrl: "https://api.qnaigc.com/v1",
},
kimi: {
label: "Kimi (Moonshot)",
defaultBaseUrl: "https://api.moonshot.cn/v1",
},
minimax: {
label: "MiniMax",
defaultBaseUrl: "https://api.minimaxi.com/anthropic",
},
novita: {
label: "Novita AI",
defaultBaseUrl: "https://api.novita.ai/openai",
},
}
// Suggested models per provider for quick add
export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
export const SUGGESTED_MODELS: Record<ProviderName, string[]> = {
openai: [
"gpt-5.2-pro",
"gpt-5.2-chat-latest",
@@ -241,17 +147,6 @@ export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
// Legacy
"gemini-pro",
],
vertexai: [
// Gemini 2.5 series
"gemini-2.5-pro",
"gemini-2.5-flash",
// Gemini 2.0 series
"gemini-2.0-flash",
"gemini-2.0-flash-exp",
// Gemini 1.5 series
"gemini-1.5-pro",
"gemini-1.5-flash",
],
azure: ["gpt-4o", "gpt-4o-mini", "gpt-4-turbo", "gpt-4", "gpt-35-turbo"],
bedrock: [
// Anthropic Claude
@@ -314,7 +209,6 @@ export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
"Qwen/Qwen2.5-Coder-32B-Instruct",
"Qwen/Qwen2.5-7B-Instruct",
"Qwen/Qwen2-VL-72B-Instruct",
"qwen3.5-plus",
],
sglang: [
// SGLang is OpenAI-compatible, models depend on deployment
@@ -337,31 +231,6 @@ export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
"doubao-pro-32k-241215",
"doubao-pro-256k-241215",
],
modelscope: [
// Qwen
"Qwen/Qwen2.5-72B-Instruct",
"Qwen/Qwen2.5-32B-Instruct",
"Qwen/Qwen3-235B-A22B-Instruct-2507",
"Qwen/Qwen3-VL-235B-A22B-Instruct",
"Qwen/Qwen3-32B",
"qwen3.5-plus",
// DeepSeek
"deepseek-ai/DeepSeek-R1-0528",
"deepseek-ai/DeepSeek-V3.2",
],
minimax: [
// MiniMax models (Anthropic-compatible API)
"MiniMax-M2.7",
"MiniMax-M2.7-highspeed",
"MiniMax-M2.5",
"MiniMax-M2.5-highspeed",
],
novita: [
// Novita AI models (OpenAI-compatible API)
"moonshotai/kimi-k2.5",
"zai-org/glm-5",
"minimax/minimax-m2.5",
],
}
// Helper to generate UUID
@@ -398,7 +267,7 @@ export function createModelConfig(modelId: string): ModelConfig {
}
}
// Get all models as flattened list for dropdown (user-defined only)
// Get all models as flattened list for dropdown
export function flattenModels(config: MultiModelConfig): FlattenedModel[] {
const models: FlattenedModel[] = []
@@ -420,12 +289,7 @@ export function flattenModels(config: MultiModelConfig): FlattenedModel[] {
awsSecretAccessKey: provider.awsSecretAccessKey,
awsRegion: provider.awsRegion,
awsSessionToken: provider.awsSessionToken,
// Vertex AI fields
vertexApiKey: provider.vertexApiKey,
validated: model.validated,
source: "user",
isDefault: false,
})
}
}

View File

@@ -1,50 +0,0 @@
import { z } from "zod"
import { getApiEndpoint } from "@/lib/base-path"
export interface UrlData {
url: string
title: string
content: string
charCount: number
isExtracting: boolean
}
const UrlResponseSchema = z.object({
title: z.string().default("Untitled"),
content: z.string(),
charCount: z.number().int().nonnegative(),
})
export async function extractUrlContent(url: string): Promise<UrlData> {
const response = await fetch(getApiEndpoint("/api/parse-url"), {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ url }),
})
// Try to parse JSON once
const raw = await response
.json()
.catch(() => ({ error: "Unexpected non-JSON response" }))
if (!response.ok) {
const message =
typeof raw === "object" && raw && "error" in raw
? String((raw as any).error)
: "Failed to extract URL content"
throw new Error(message)
}
const parsed = UrlResponseSchema.safeParse(raw)
if (!parsed.success) {
throw new Error("Malformed response from URL extraction API")
}
return {
url,
title: parsed.data.title,
content: parsed.data.content,
charCount: parsed.data.charCount,
isExtracting: false,
}
}

View File

@@ -1,33 +1,11 @@
import { type ClassValue, clsx } from "clsx"
import * as pako from "pako"
import { twMerge } from "tailwind-merge"
import type { DiagramOperation } from "@/components/chat/types"
export type { DiagramOperation }
export function cn(...inputs: ClassValue[]) {
return twMerge(clsx(inputs))
}
// ============================================================================
// Diagram Constants
// ============================================================================
/**
* Minimum length for a "real" diagram XML (not just empty template).
* Empty mxfile templates are ~147-300 chars; real diagrams are larger.
*/
export const MIN_REAL_DIAGRAM_LENGTH = 300
/**
* Check if diagram XML represents a real diagram (not just empty template).
* @param xml - The diagram XML string to check
* @returns true if the XML is a real diagram with content
*/
export function isRealDiagram(xml: string | undefined | null): boolean {
return !!xml && xml.length > MIN_REAL_DIAGRAM_LENGTH
}
// ============================================================================
// XML Validation/Fix Constants
// ============================================================================
@@ -476,6 +454,12 @@ export function replaceNodes(currentXML: string, nodes: string): string {
// ID-based Diagram Operations
// ============================================================================
export interface DiagramOperation {
operation: "update" | "add" | "delete"
cell_id: string
new_xml?: string
}
export interface OperationError {
type: "update" | "add" | "delete"
cellId: string

View File

@@ -1,22 +0,0 @@
/**
* VLM system prompt for diagram validation.
* Note: Response parsing is now handled via AI SDK's structured outputs (generateObject with schema).
*/
export const VALIDATION_SYSTEM_PROMPT = `You are a diagram quality validator. Analyze the rendered diagram image for visual issues.
Evaluate the diagram for the following issues:
1. **Overlapping elements** (critical): Shapes covering each other inappropriately, making content unreadable
2. **Edge routing issues** (critical): Lines/arrows crossing through shapes that are not their source or target
3. **Text readability** (warning): Labels cut off, overlapping, or too small to read
4. **Layout quality** (warning): Poor spacing, misalignment, or cramped elements
5. **Rendering errors** (critical): Incomplete, corrupted, or missing visual elements
Rules:
- Set "valid" to true ONLY if there are no critical issues
- Be specific about which elements have problems (e.g., "The 'Login' box overlaps with 'Register' box")
- Provide actionable suggestions (e.g., "Move the Login box 50 pixels to the left")
- Minor cosmetic issues (slight misalignment, non-uniform spacing) should be warnings, not critical
- Empty diagrams or diagrams with only 1-2 elements should pass unless they have obvious errors
- If the diagram looks generally acceptable, set valid to true even with minor warnings`

View File

@@ -1,38 +0,0 @@
/**
* Shared validation schema for VLM-based diagram validation.
* This file can be safely imported on both client and server.
*/
import { z } from "zod"
// Schema for structured validation output
export const ValidationResultSchema = z.object({
valid: z.boolean().describe("True if there are no critical issues"),
issues: z
.array(
z.object({
type: z
.enum([
"overlap",
"edge_routing",
"text",
"layout",
"rendering",
])
.describe("Type of visual issue"),
severity: z
.enum(["critical", "warning"])
.describe("Severity level"),
description: z
.string()
.describe("Clear description of the issue"),
}),
)
.describe("List of visual issues found"),
suggestions: z
.array(z.string())
.describe("Actionable suggestions to fix issues"),
})
export type ValidationResult = z.infer<typeof ValidationResultSchema>
export type ValidationIssue = ValidationResult["issues"][number]

16543
package-lock.json generated

File diff suppressed because it is too large Load Diff

View File

@@ -1,6 +1,6 @@
{
"name": "next-ai-draw-io",
"version": "0.4.14",
"version": "0.4.7",
"license": "Apache-2.0",
"private": true,
"main": "dist-electron/main/index.js",
@@ -24,11 +24,8 @@
"dist": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml",
"dist:mac": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --mac",
"dist:win": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --win",
"dist:win:build": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --win --publish never",
"dist:linux": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --linux",
"dist:all": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --mac --win --linux",
"test": "vitest",
"test:e2e": "playwright test"
"dist:all": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --mac --win --linux"
},
"dependencies": {
"@ai-sdk/amazon-bedrock": "^4.0.1",
@@ -37,21 +34,18 @@
"@ai-sdk/deepseek": "^2.0.0",
"@ai-sdk/gateway": "^3.0.0",
"@ai-sdk/google": "^3.0.0",
"@ai-sdk/google-vertex": "^4.0.16",
"@ai-sdk/openai": "^3.0.0",
"@ai-sdk/react": "^3.0.1",
"@aws-sdk/client-dynamodb": "^3.957.0",
"@aws-sdk/credential-providers": "^3.943.0",
"@extractus/article-extractor": "^8.0.18",
"@formatjs/intl-localematcher": "^0.8.0",
"@formatjs/intl-localematcher": "^0.7.2",
"@langfuse/client": "^4.4.9",
"@langfuse/otel": "^4.4.4",
"@langfuse/tracing": "^4.4.9",
"@next/third-parties": "^16.0.6",
"@opennextjs/cloudflare": "^1.17.1",
"@opennextjs/cloudflare": "1.14.7",
"@openrouter/ai-sdk-provider": "^1.5.4",
"@opentelemetry/api": "^1.9.0",
"@opentelemetry/exporter-trace-otlp-http": "^0.212.0",
"@opentelemetry/exporter-trace-otlp-http": "^0.208.0",
"@opentelemetry/sdk-trace-node": "^2.2.0",
"@radix-ui/react-alert-dialog": "^1.1.15",
"@radix-ui/react-collapsible": "^1.1.12",
@@ -70,14 +64,14 @@
"class-variance-authority": "^0.7.1",
"clsx": "^2.1.1",
"cmdk": "^1.1.1",
"idb": "^8.0.3",
"js-tiktoken": "^1.0.21",
"jsdom": "^27.0.0",
"jsonrepair": "^3.13.1",
"lucide-react": "^0.575.0",
"lucide-react": "^0.562.0",
"motion": "^12.23.25",
"nanoid": "^5.0.0",
"negotiator": "^1.0.0",
"next": "^16.0.7",
"ollama-ai-provider-v2": "^2.0.0",
"ollama-ai-provider-v2": "^1.5.4",
"pako": "^2.1.0",
"prism-react-renderer": "^2.4.1",
"react": "^19.1.2",
@@ -91,14 +85,13 @@
"sonner": "^2.0.7",
"tailwind-merge": "^3.0.2",
"tailwindcss-animate": "^1.0.7",
"turndown": "^7.2.0",
"unpdf": "^1.4.0",
"zod": "^4.1.12"
},
"optionalDependencies": {
"@tailwindcss/oxide-linux-x64-gnu": "^4.1.18",
"lightningcss": "^1.30.2",
"lightningcss-linux-x64-gnu": "^1.30.2"
"lightningcss-linux-x64-gnu": "^1.30.2",
"@tailwindcss/oxide-linux-x64-gnu": "^4.1.18"
},
"lint-staged": {
"*.{js,ts,jsx,tsx,json,css}": [
@@ -108,38 +101,28 @@
},
"devDependencies": {
"@anthropic-ai/tokenizer": "^0.0.4",
"@biomejs/biome": "2.4.4",
"@playwright/test": "^1.57.0",
"@biomejs/biome": "^2.3.10",
"@tailwindcss/postcss": "^4",
"@tailwindcss/typography": "^0.5.19",
"@testing-library/dom": "^10.4.1",
"@testing-library/react": "^16.3.1",
"@testing-library/user-event": "^14.6.1",
"@types/negotiator": "^0.6.4",
"@types/node": "^24.0.0",
"@types/pako": "^2.0.3",
"@types/react": "^19",
"@types/react-dom": "^19",
"@types/turndown": "^5.0.6",
"@vitejs/plugin-react": "^5.1.2",
"@vitest/coverage-v8": "^4.0.16",
"concurrently": "^9.2.1",
"cross-env": "^10.1.0",
"electron": "^39.2.7",
"electron-builder": "^26.0.12",
"esbuild": "^0.27.2",
"eslint": "9.39.3",
"eslint-config-next": "16.1.6",
"eslint": "9.39.2",
"eslint-config-next": "16.1.1",
"husky": "^9.1.7",
"jsdom": "^27.4.0",
"lint-staged": "^16.2.7",
"shx": "^0.4.0",
"tailwindcss": "^4",
"typescript": "^5",
"vite-tsconfig-paths": "^6.0.3",
"vitest": "^4.0.16",
"wait-on": "^9.0.3",
"wrangler": "^4.60.0"
"wrangler": "4.54.0"
},
"overrides": {
"@openrouter/ai-sdk-provider": {

View File

@@ -1,11 +0,0 @@
{
"name": "next-ai-drawio",
"version": "1.0.0",
"description": "AI-powered Draw.io diagram generation with real-time browser preview. Create flowcharts, architecture diagrams, and more through natural language.",
"author": {
"name": "DayuanJiang"
},
"repository": "https://github.com/DayuanJiang/next-ai-draw-io",
"homepage": "https://next-ai-drawio.jiang.jp",
"license": "Apache-2.0"
}

View File

@@ -1,8 +0,0 @@
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}

View File

@@ -1,107 +0,0 @@
# Next AI Draw.io - Claude Code Plugin
AI-powered Draw.io diagram generation with real-time browser preview for Claude Code.
## Installation
### From Plugin Directory (Coming Soon)
Once approved, install via:
```
/plugin install next-ai-drawio
```
### Manual Installation
```bash
claude --plugin-dir /path/to/packages/claude-plugin
```
Or add the MCP server directly:
```bash
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
```
## Features
- **Real-time Preview**: Diagrams appear and update in your browser as Claude creates them
- **Version History**: Restore previous diagram versions with visual thumbnails
- **Natural Language**: Describe diagrams in plain text - flowcharts, architecture diagrams, etc.
- **Edit Support**: Modify existing diagrams with natural language instructions
- **Export**: Save diagrams as `.drawio` files
- **Self-contained**: Embedded server, no external dependencies required
## Use Case Examples
### 1. Create Architecture Diagrams
```
Generate an AWS architecture diagram with Lambda, API Gateway, DynamoDB,
and S3 for a serverless REST API
```
### 2. Flowchart Generation
```
Create a flowchart showing the CI/CD pipeline: code commit -> build ->
test -> staging deploy -> production deploy with approval gates
```
### 3. System Design Documentation
```
Design a microservices e-commerce system with user service, product catalog,
shopping cart, order processing, and payment gateway
```
### 4. Cloud Architecture (AWS/GCP/Azure)
```
Generate a GCP architecture diagram with Cloud Run, Cloud SQL, and
Cloud Storage for a web application
```
### 5. Sequence Diagrams
```
Create a sequence diagram showing OAuth 2.0 authorization code flow
between user, client app, auth server, and resource server
```
## Available Tools
| Tool | Description |
|------|-------------|
| `start_session` | Opens browser with real-time diagram preview |
| `create_new_diagram` | Create a new diagram from XML |
| `edit_diagram` | Edit diagram by ID-based operations |
| `get_diagram` | Get the current diagram XML |
| `export_diagram` | Save diagram to a `.drawio` file |
## How It Works
```
Claude Code <--stdio--> MCP Server <--http--> Browser (draw.io)
```
1. Ask Claude to create a diagram
2. Claude calls `start_session` to open a browser window
3. Claude generates diagram XML and sends it to the browser
4. You see the diagram update in real-time!
## Configuration
| Variable | Default | Description |
|----------|---------|-------------|
| `PORT` | `6002` | Port for the embedded HTTP server |
| `DRAWIO_BASE_URL` | `https://embed.diagrams.net` | Base URL for draw.io (for self-hosted deployments) |
## Links
- [Homepage](https://next-ai-drawio.jiang.jp)
- [GitHub Repository](https://github.com/DayuanJiang/next-ai-draw-io)
- [MCP Server Documentation](https://github.com/DayuanJiang/next-ai-draw-io/tree/main/packages/mcp-server)
## License
Apache-2.0

View File

@@ -64,24 +64,6 @@ Add to Cursor MCP config (`~/.cursor/mcp.json`):
}
```
### Cline (VS Code Extension)
1. Click the **MCP Servers** icon in Cline's top menu bar
2. Select the **Configure** tab
3. Click **Configure MCP Servers** to edit `cline_mcp_settings.json`
4. Add the drawio server:
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
```
### Claude Code CLI
```bash
@@ -108,7 +90,7 @@ Use the standard MCP configuration with:
- **Natural Language**: Describe diagrams in plain text - flowcharts, architecture diagrams, etc.
- **Edit Support**: Modify existing diagrams with natural language instructions
- **Export**: Save diagrams as `.drawio` files
- **Self-contained**: Embedded server, works offline (except draw.io UI which loads from `embed.diagrams.net` by default, configurable via `DRAWIO_BASE_URL`)
- **Self-contained**: Embedded server, works offline (except draw.io UI which loads from embed.diagrams.net)
## Available Tools
@@ -148,33 +130,6 @@ Use the standard MCP configuration with:
| Variable | Default | Description |
|----------|---------|-------------|
| `PORT` | `6002` | Port for the embedded HTTP server |
| `DRAWIO_BASE_URL` | `https://embed.diagrams.net` | Base URL for the draw.io embed. Set this to use a self-hosted draw.io instance for private deployments. |
### Private Deployment (Self-hosted draw.io)
For security-sensitive environments that require private deployment of draw.io:
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"],
"env": {
"DRAWIO_BASE_URL": "https://drawio.your-company.com"
}
}
}
}
```
You can deploy your own draw.io instance using the official Docker image:
```bash
docker run -d -p 8080:8080 jgraph/drawio
```
Then set `DRAWIO_BASE_URL=http://localhost:8080` (or your server's URL).
## Troubleshooting

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