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Compare commits
16 Commits
fix/electr
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test/add-t
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3
.github/renovate.json
vendored
3
.github/renovate.json
vendored
@@ -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
|
||||
},
|
||||
{
|
||||
|
||||
79
.github/workflows/electron-release.yml
vendored
79
.github/workflows/electron-release.yml
vendored
@@ -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: ${{ matrix.os }}
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v6
|
||||
@@ -34,80 +37,10 @@ jobs:
|
||||
node-version: 24
|
||||
cache: "npm"
|
||||
|
||||
- name: Download draw.io static files for offline use
|
||||
run: |
|
||||
rm -rf public/drawio
|
||||
git clone --depth 1 --branch v29.3.5 https://github.com/jgraph/drawio.git /tmp/drawio
|
||||
mkdir -p public/drawio
|
||||
cp -r /tmp/drawio/src/main/webapp/* public/drawio/
|
||||
rm -rf public/drawio/WEB-INF
|
||||
rm -rf public/drawio/META-INF
|
||||
|
||||
- name: Install dependencies
|
||||
run: npm install
|
||||
|
||||
- name: Build and publish
|
||||
- name: Build and publish Electron app
|
||||
run: npm run dist:${{ 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: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
12
.github/workflows/test.yml
vendored
12
.github/workflows/test.yml
vendored
@@ -11,10 +11,10 @@ jobs:
|
||||
name: Lint & Unit Tests
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v6
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Setup Node.js
|
||||
uses: actions/setup-node@v6
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: "20"
|
||||
cache: "npm"
|
||||
@@ -32,10 +32,10 @@ jobs:
|
||||
name: E2E Tests
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v6
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Setup Node.js
|
||||
uses: actions/setup-node@v6
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: "20"
|
||||
cache: "npm"
|
||||
@@ -44,7 +44,7 @@ jobs:
|
||||
run: npm ci
|
||||
|
||||
- name: Cache Playwright browsers
|
||||
uses: actions/cache@v5
|
||||
uses: actions/cache@v4
|
||||
id: playwright-cache
|
||||
with:
|
||||
path: ~/.cache/ms-playwright
|
||||
@@ -67,7 +67,7 @@ jobs:
|
||||
CI: true
|
||||
|
||||
- name: Upload test results
|
||||
uses: actions/upload-artifact@v6
|
||||
uses: actions/upload-artifact@v4
|
||||
if: always()
|
||||
with:
|
||||
name: playwright-report
|
||||
|
||||
6
.gitignore
vendored
6
.gitignore
vendored
@@ -56,8 +56,6 @@ push-via-ec2.sh
|
||||
/dist-electron/
|
||||
/release/
|
||||
/electron-standalone/
|
||||
# Draw.io static files (downloaded during CI build)
|
||||
public/drawio/
|
||||
*.dmg
|
||||
*.exe
|
||||
*.AppImage
|
||||
@@ -69,6 +67,4 @@ CLAUDE.md
|
||||
.spec-workflow
|
||||
|
||||
# edgeone
|
||||
.edgeone
|
||||
opencode.json
|
||||
ai-models.json
|
||||
.edgeone
|
||||
@@ -30,10 +30,6 @@ ENV NEXT_PUBLIC_DRAWIO_BASE_URL=${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}
|
||||
|
||||
# Build Next.js application (standalone mode)
|
||||
RUN npm run build
|
||||
|
||||
|
||||
21
README.md
21
README.md
@@ -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/newyear-referral?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!
|
||||
> 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)
|
||||
|
||||
[](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/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- [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/newyear-referral?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!
|
||||
**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
|
||||
|
||||
[](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
|
||||
|
||||
@@ -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>
|
||||
好消息!感谢{" "}
|
||||
<a
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
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"
|
||||
@@ -97,6 +108,42 @@ export default function AboutCN() {
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* Usage Limits */}
|
||||
<p className="text-sm text-gray-600 mb-3">
|
||||
当前使用限制:
|
||||
</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">
|
||||
请求/天
|
||||
</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/天
|
||||
</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/分钟
|
||||
</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">
|
||||
@@ -277,7 +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/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
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"
|
||||
@@ -292,13 +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">
|
||||
注意:<code>claude-sonnet-4-5</code>{" "}
|
||||
@@ -312,7 +357,7 @@ export default function AboutCN() {
|
||||
<p className="text-gray-700 mb-4 font-semibold">
|
||||
特别感谢{" "}
|
||||
<a
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
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"
|
||||
|
||||
@@ -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>
|
||||
朗報です!
|
||||
<a
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
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"
|
||||
@@ -105,6 +116,42 @@ export default function AboutJA() {
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* Usage Limits */}
|
||||
<p className="text-sm text-gray-600 mb-3">
|
||||
現在の使用制限:
|
||||
</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">
|
||||
リクエスト/日
|
||||
</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">
|
||||
トークン/日
|
||||
</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">
|
||||
トークン/分
|
||||
</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/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
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">
|
||||
注:<code>claude-sonnet-4-5</code>
|
||||
@@ -327,7 +372,7 @@ export default function AboutJA() {
|
||||
<p className="text-gray-700 mb-4 font-semibold">
|
||||
デモサイトのAPIトークン使用を支援してくださった{" "}
|
||||
<a
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
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"
|
||||
|
||||
@@ -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/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
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"
|
||||
@@ -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/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
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/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
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"
|
||||
|
||||
@@ -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",
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
@@ -4,6 +4,7 @@ import { Suspense, 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,
|
||||
@@ -12,6 +13,9 @@ import {
|
||||
import { useDiagram } from "@/contexts/diagram-context"
|
||||
import { i18n, type Locale } from "@/lib/i18n/config"
|
||||
|
||||
const drawioBaseUrl =
|
||||
process.env.NEXT_PUBLIC_DRAWIO_BASE_URL || "https://embed.diagrams.net"
|
||||
|
||||
export default function Home() {
|
||||
const { drawioRef, handleDiagramExport, onDrawioLoad, resetDrawioReady } =
|
||||
useDiagram()
|
||||
@@ -25,10 +29,7 @@ export default function Home() {
|
||||
const [darkMode, setDarkMode] = useState(false)
|
||||
const [isLoaded, setIsLoaded] = useState(false)
|
||||
const [isDrawioReady, setIsDrawioReady] = useState(false)
|
||||
const [isElectron, setIsElectron] = useState(false)
|
||||
const [drawioBaseUrl, setDrawioBaseUrl] = useState(
|
||||
process.env.NEXT_PUBLIC_DRAWIO_BASE_URL || "https://embed.diagrams.net",
|
||||
)
|
||||
const [closeProtection, setCloseProtection] = useState(false)
|
||||
|
||||
const chatPanelRef = useRef<ImperativePanelHandle>(null)
|
||||
const isMobileRef = useRef(false)
|
||||
@@ -65,15 +66,11 @@ export default function Home() {
|
||||
document.documentElement.classList.toggle("dark", prefersDark)
|
||||
}
|
||||
|
||||
// Detect Electron and use bundled draw.io files for offline use
|
||||
// Note: react-drawio uses `new URL(baseUrl)` so we need absolute URL
|
||||
// Include /index.html because Next.js doesn't auto-serve index.html for directories
|
||||
const electronDetected =
|
||||
!process.env.NEXT_PUBLIC_DRAWIO_BASE_URL &&
|
||||
!!(window as unknown as { electronAPI?: unknown }).electronAPI
|
||||
if (electronDetected) {
|
||||
setIsElectron(true)
|
||||
setDrawioBaseUrl(`${window.location.origin}/drawio/index.html`)
|
||||
const savedCloseProtection = localStorage.getItem(
|
||||
STORAGE_CLOSE_PROTECTION_KEY,
|
||||
)
|
||||
if (savedCloseProtection === "true") {
|
||||
setCloseProtection(true)
|
||||
}
|
||||
|
||||
setIsLoaded(true)
|
||||
@@ -149,6 +146,20 @@ 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
|
||||
@@ -172,7 +183,7 @@ export default function Home() {
|
||||
className={`h-full w-full ${isDrawioReady ? "" : "invisible absolute inset-0"}`}
|
||||
>
|
||||
<DrawIoEmbed
|
||||
key={`${drawioUi}-${darkMode}-${currentLang}-${isElectron}`}
|
||||
key={`${drawioUi}-${darkMode}-${currentLang}`}
|
||||
ref={drawioRef}
|
||||
onExport={handleDiagramExport}
|
||||
onLoad={handleDrawioLoad}
|
||||
@@ -186,10 +197,6 @@ export default function Home() {
|
||||
noExitBtn: true,
|
||||
dark: darkMode,
|
||||
lang: currentLang,
|
||||
// Enable offline mode in Electron to disable external service calls
|
||||
...(isElectron && {
|
||||
offline: true,
|
||||
}),
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
@@ -236,6 +243,7 @@ export default function Home() {
|
||||
darkMode={darkMode}
|
||||
onToggleDarkMode={handleDarkModeChange}
|
||||
isMobile={isMobile}
|
||||
onCloseProtectionChange={setCloseProtection}
|
||||
/>
|
||||
</Suspense>
|
||||
</div>
|
||||
|
||||
@@ -34,7 +34,6 @@ 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"
|
||||
|
||||
@@ -118,10 +117,7 @@ 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
|
||||
@@ -172,7 +168,6 @@ 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
|
||||
@@ -184,30 +179,8 @@ 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"),
|
||||
@@ -216,10 +189,6 @@ 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 && {
|
||||
@@ -230,10 +199,6 @@ 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 } =
|
||||
getAIModel(clientOverrides)
|
||||
@@ -449,7 +414,6 @@ ${userInputText}
|
||||
|
||||
const result = streamText({
|
||||
model,
|
||||
abortSignal: req.signal,
|
||||
...(process.env.MAX_OUTPUT_TOKENS && {
|
||||
maxOutputTokens: parseInt(process.env.MAX_OUTPUT_TOKENS, 10),
|
||||
}),
|
||||
@@ -477,13 +441,6 @@ ${userInputText}
|
||||
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=\\"$2\\"',
|
||||
)
|
||||
}
|
||||
// Use jsonrepair to fix truncated JSON
|
||||
const repairedInput = jsonrepair(inputToRepair)
|
||||
@@ -663,7 +620,7 @@ Available libraries:
|
||||
- Networking: cisco19, network, kubernetes, vvd, rack
|
||||
- Business: bpmn, lean_mapping
|
||||
- General: flowchart, basic, arrows2, infographic, sitemap
|
||||
- UI/Mockups: android, material_design
|
||||
- UI/Mockups: android
|
||||
- Enterprise: citrix, sap, mscae, atlassian
|
||||
- Engineering: fluidpower, electrical, pid, cabinets, floorplan
|
||||
- Icons: webicons
|
||||
@@ -708,7 +665,7 @@ Call this tool to get shape names and usage syntax for a specific library.`,
|
||||
if (
|
||||
(error as NodeJS.ErrnoException).code === "ENOENT"
|
||||
) {
|
||||
return `Library "${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}":`,
|
||||
|
||||
@@ -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 },
|
||||
)
|
||||
}
|
||||
}
|
||||
@@ -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,
|
||||
})
|
||||
}
|
||||
@@ -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)
|
||||
}
|
||||
}
|
||||
@@ -3,16 +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 { allowPrivateUrls, isPrivateUrl } from "@/lib/ssrf-protection"
|
||||
|
||||
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
|
||||
@@ -22,8 +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) {
|
||||
@@ -37,8 +93,6 @@ export async function POST(req: Request) {
|
||||
awsAccessKeyId,
|
||||
awsSecretAccessKey,
|
||||
awsRegion,
|
||||
// Note: Express Mode only needs vertexApiKey
|
||||
vertexApiKey,
|
||||
} = body
|
||||
|
||||
if (!provider || !modelId) {
|
||||
@@ -49,7 +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 },
|
||||
@@ -67,16 +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" },
|
||||
@@ -114,15 +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,
|
||||
@@ -167,28 +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 ${ollamaApiKey}` },
|
||||
}),
|
||||
const ollama = createOllama({
|
||||
baseURL: baseUrl || "http://localhost:11434",
|
||||
})
|
||||
model = ollamaProvider(modelId)
|
||||
model = ollama(modelId)
|
||||
break
|
||||
}
|
||||
|
||||
@@ -227,98 +251,16 @@ export async function POST(req: Request) {
|
||||
}
|
||||
|
||||
case "doubao": {
|
||||
// ByteDance Doubao: use DeepSeek for DeepSeek/Kimi models, OpenAI for others
|
||||
const doubaoBaseUrl =
|
||||
baseUrl || "https://ark.cn-beijing.volces.com/api/v3"
|
||||
const lowerModelId = modelId.toLowerCase()
|
||||
if (
|
||||
lowerModelId.includes("deepseek") ||
|
||||
lowerModelId.includes("kimi")
|
||||
) {
|
||||
const doubao = createDeepSeek({
|
||||
apiKey,
|
||||
baseURL: doubaoBaseUrl,
|
||||
})
|
||||
model = doubao(modelId)
|
||||
} else {
|
||||
const doubao = createOpenAI({
|
||||
apiKey,
|
||||
baseURL: doubaoBaseUrl,
|
||||
})
|
||||
model = doubao.chat(modelId)
|
||||
}
|
||||
// ByteDance Doubao uses DeepSeek-compatible API
|
||||
const doubao = createDeepSeek({
|
||||
apiKey,
|
||||
baseURL:
|
||||
baseUrl || "https://ark.cn-beijing.volces.com/api/v3",
|
||||
})
|
||||
model = doubao(modelId)
|
||||
break
|
||||
}
|
||||
|
||||
case "modelscope": {
|
||||
const baseURL =
|
||||
baseUrl || "https://api-inference.modelscope.cn/v1"
|
||||
const startTime = Date.now()
|
||||
|
||||
try {
|
||||
// Initiate a streaming request (required for QwQ-32B and certain Qwen3 models)
|
||||
const response = await fetch(
|
||||
`${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
|
||||
}
|
||||
}
|
||||
|
||||
default:
|
||||
return NextResponse.json(
|
||||
{ valid: false, error: `Unknown provider: ${provider}` },
|
||||
|
||||
@@ -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 */
|
||||
|
||||
@@ -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>
|
||||
|
||||
@@ -212,27 +169,3 @@ 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>
|
||||
)
|
||||
|
||||
@@ -4,20 +4,11 @@ import {
|
||||
Download,
|
||||
History,
|
||||
Image as ImageIcon,
|
||||
Link,
|
||||
Loader2,
|
||||
Send,
|
||||
Square,
|
||||
} 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"
|
||||
@@ -27,15 +18,11 @@ 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
|
||||
@@ -146,24 +133,17 @@ 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
|
||||
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
|
||||
@@ -171,220 +151,94 @@ 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,
|
||||
files = [],
|
||||
onFileChange = () => {},
|
||||
pdfData = new Map(),
|
||||
sessionId,
|
||||
error = null,
|
||||
models = [],
|
||||
selectedModelId,
|
||||
onModelSelect = () => {},
|
||||
showUnvalidatedModels = false,
|
||||
onConfigureModels = () => {},
|
||||
}: ChatInputProps) {
|
||||
const dict = useDictionary()
|
||||
const {
|
||||
diagramHistory,
|
||||
saveDiagramToFile,
|
||||
showSaveDialog,
|
||||
setShowSaveDialog,
|
||||
} = 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 [showHistory, setShowHistory] = 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,
|
||||
)
|
||||
@@ -393,225 +247,202 @@ 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])
|
||||
}
|
||||
}
|
||||
|
||||
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-end gap-1 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={() => setShowHistory(true)}
|
||||
disabled={isDisabled || diagramHistory.length === 0}
|
||||
tooltipContent={dict.chat.diagramHistory}
|
||||
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
|
||||
>
|
||||
<History className="h-4 w-4" />
|
||||
</ButtonWithTooltip>
|
||||
|
||||
<ButtonWithTooltip
|
||||
type="button"
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
onClick={() => setShowSaveDialog(true)}
|
||||
disabled={isDisabled}
|
||||
tooltipContent={dict.chat.saveDiagram}
|
||||
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
|
||||
>
|
||||
<Download className="h-4 w-4" />
|
||||
</ButtonWithTooltip>
|
||||
|
||||
<ButtonWithTooltip
|
||||
type="button"
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
onClick={triggerFileInput}
|
||||
disabled={isDisabled}
|
||||
tooltipContent={dict.chat.uploadFile}
|
||||
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
|
||||
>
|
||||
<ImageIcon className="h-4 w-4" />
|
||||
</ButtonWithTooltip>
|
||||
|
||||
<input
|
||||
type="file"
|
||||
ref={fileInputRef}
|
||||
className="hidden"
|
||||
onChange={handleFileChange}
|
||||
accept="image/*,.pdf,application/pdf,text/*,.md,.markdown,.json,.csv,.xml,.yaml,.yml,.toml"
|
||||
multiple
|
||||
disabled={isDisabled}
|
||||
/>
|
||||
</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}
|
||||
<ModelSelector
|
||||
models={models}
|
||||
selectedModelId={selectedModelId}
|
||||
onSelect={onModelSelect}
|
||||
onConfigure={onConfigureModels}
|
||||
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"
|
||||
showUnvalidatedModels={showUnvalidatedModels}
|
||||
/>
|
||||
|
||||
<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-x-hidden">
|
||||
<ButtonWithTooltip
|
||||
type="button"
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
onClick={() => setShowHistory(true)}
|
||||
disabled={
|
||||
isDisabled || diagramHistory.length === 0
|
||||
}
|
||||
tooltipContent={dict.chat.diagramHistory}
|
||||
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
|
||||
>
|
||||
<History className="h-4 w-4" />
|
||||
</ButtonWithTooltip>
|
||||
|
||||
<ButtonWithTooltip
|
||||
type="button"
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
onClick={() => setShowSaveDialog(true)}
|
||||
disabled={
|
||||
isDisabled || !isRealDiagram(chartXML)
|
||||
}
|
||||
tooltipContent={dict.chat.saveDiagram}
|
||||
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
|
||||
>
|
||||
<Download className="h-4 w-4" />
|
||||
</ButtonWithTooltip>
|
||||
|
||||
<ButtonWithTooltip
|
||||
type="button"
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
onClick={triggerFileInput}
|
||||
disabled={isDisabled}
|
||||
tooltipContent={dict.chat.uploadFile}
|
||||
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
|
||||
>
|
||||
<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}
|
||||
className="hidden"
|
||||
onChange={handleFileChange}
|
||||
accept="image/*,.pdf,application/pdf,text/*,.md,.markdown,.json,.csv,.xml,.yaml,.yml,.toml"
|
||||
multiple
|
||||
disabled={isDisabled}
|
||||
/>
|
||||
</div>
|
||||
<ModelSelector
|
||||
models={models}
|
||||
selectedModelId={selectedModelId}
|
||||
onSelect={onModelSelect}
|
||||
onConfigure={onConfigureModels}
|
||||
disabled={isDisabled}
|
||||
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>
|
||||
<div className="w-px h-5 bg-border mx-1" />
|
||||
<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" />
|
||||
) : (
|
||||
<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>
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
</Button>
|
||||
</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,
|
||||
dict.save.savedSuccessfully,
|
||||
)
|
||||
}
|
||||
defaultFilename={`diagram-${new Date()
|
||||
.toISOString()
|
||||
.slice(0, 10)}`}
|
||||
/>
|
||||
</form>
|
||||
)
|
||||
}
|
||||
|
||||
@@ -9,13 +9,13 @@ import {
|
||||
Copy,
|
||||
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"
|
||||
@@ -28,9 +28,6 @@ import {
|
||||
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"
|
||||
@@ -60,20 +57,20 @@ function getCompleteOperations(
|
||||
|
||||
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 +81,28 @@ 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 })
|
||||
}
|
||||
@@ -130,8 +121,8 @@ 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]*$/
|
||||
return fullText.replace(filePattern, "").trim()
|
||||
}
|
||||
|
||||
@@ -157,8 +148,6 @@ interface ChatMessageDisplayProps {
|
||||
onSelectSession?: (id: string) => void
|
||||
onDeleteSession?: (id: string) => void
|
||||
loadedMessageIdsRef?: MutableRefObject<Set<string>>
|
||||
validationStates?: Record<string, ValidationState>
|
||||
onImproveWithSuggestions?: (feedback: string) => void
|
||||
}
|
||||
|
||||
export function ChatMessageDisplay({
|
||||
@@ -176,8 +165,6 @@ export function ChatMessageDisplay({
|
||||
onSelectSession,
|
||||
onDeleteSession,
|
||||
loadedMessageIdsRef,
|
||||
validationStates = {},
|
||||
onImproveWithSuggestions,
|
||||
}: ChatMessageDisplayProps) {
|
||||
const dict = useDictionary()
|
||||
const { chartXML, loadDiagram: onDisplayChart } = useDiagram()
|
||||
@@ -442,15 +429,11 @@ export function ChatMessageDisplay({
|
||||
const toolPart = part as ToolPartLike
|
||||
const { toolCallId, state, input } = toolPart
|
||||
|
||||
// Auto-collapse on completion, but only if user hasn't manually toggled
|
||||
if (state === "output-available") {
|
||||
setExpandedTools((prev) => {
|
||||
// Only auto-collapse if not already set (user hasn't interacted)
|
||||
if (prev[toolCallId] === undefined) {
|
||||
return { ...prev, [toolCallId]: false }
|
||||
}
|
||||
return prev
|
||||
})
|
||||
setExpandedTools((prev) => ({
|
||||
...prev,
|
||||
[toolCallId]: false,
|
||||
}))
|
||||
}
|
||||
|
||||
if (
|
||||
@@ -928,56 +911,30 @@ export function ChatMessageDisplay({
|
||||
return groups.map(
|
||||
(group, groupIndex) => {
|
||||
if (group.type === "tool") {
|
||||
const toolPart = group
|
||||
.parts[0] as ToolPartLike
|
||||
const toolCallId =
|
||||
toolPart.toolCallId
|
||||
const isDisplayDiagram =
|
||||
toolPart.type ===
|
||||
"tool-display_diagram"
|
||||
const validationState =
|
||||
validationStates[
|
||||
toolCallId
|
||||
]
|
||||
|
||||
return (
|
||||
<div
|
||||
<ToolCallCard
|
||||
key={`${message.id}-tool-${group.startIndex}`}
|
||||
>
|
||||
<ToolCallCard
|
||||
part={
|
||||
toolPart
|
||||
}
|
||||
expandedTools={
|
||||
expandedTools
|
||||
}
|
||||
setExpandedTools={
|
||||
setExpandedTools
|
||||
}
|
||||
onCopy={
|
||||
copyMessageToClipboard
|
||||
}
|
||||
copiedToolCallId={
|
||||
copiedToolCallId
|
||||
}
|
||||
copyFailedToolCallId={
|
||||
copyFailedToolCallId
|
||||
}
|
||||
dict={dict}
|
||||
/>
|
||||
{/* Show validation card for display_diagram tools */}
|
||||
{isDisplayDiagram &&
|
||||
validationState && (
|
||||
<ValidationCard
|
||||
state={
|
||||
validationState
|
||||
}
|
||||
onImproveWithSuggestions={
|
||||
onImproveWithSuggestions
|
||||
}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
part={
|
||||
group
|
||||
.parts[0] as ToolPartLike
|
||||
}
|
||||
expandedTools={
|
||||
expandedTools
|
||||
}
|
||||
setExpandedTools={
|
||||
setExpandedTools
|
||||
}
|
||||
onCopy={
|
||||
copyMessageToClipboard
|
||||
}
|
||||
copiedToolCallId={
|
||||
copiedToolCallId
|
||||
}
|
||||
copyFailedToolCallId={
|
||||
copyFailedToolCallId
|
||||
}
|
||||
dict={dict}
|
||||
/>
|
||||
)
|
||||
}
|
||||
|
||||
@@ -1091,14 +1048,12 @@ export function ChatMessageDisplay({
|
||||
) => {
|
||||
if (
|
||||
section.type ===
|
||||
"file" ||
|
||||
section.type ===
|
||||
"url"
|
||||
"file"
|
||||
) {
|
||||
const sectionKey = `${message.id}-${section.type}-${partIndex}-${sectionIndex}`
|
||||
const pdfKey = `${message.id}-file-${partIndex}-${sectionIndex}`
|
||||
const isExpanded =
|
||||
expandedPdfSections[
|
||||
sectionKey
|
||||
pdfKey
|
||||
] ??
|
||||
false
|
||||
const charDisplay =
|
||||
@@ -1107,27 +1062,10 @@ 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 +1080,7 @@ export function ChatMessageDisplay({
|
||||
prev,
|
||||
) => ({
|
||||
...prev,
|
||||
[sectionKey]:
|
||||
[pdfKey]:
|
||||
!isExpanded,
|
||||
}),
|
||||
)
|
||||
@@ -1150,10 +1088,13 @@ 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 +1114,7 @@ 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
|
||||
|
||||
@@ -8,7 +8,8 @@ import {
|
||||
PanelRightOpen,
|
||||
Settings,
|
||||
} from "lucide-react"
|
||||
import { usePathname, useRouter, useSearchParams } from "next/navigation"
|
||||
import Image from "next/image"
|
||||
import { useRouter, useSearchParams } from "next/navigation"
|
||||
import type React from "react"
|
||||
import {
|
||||
useCallback,
|
||||
@@ -21,7 +22,6 @@ import { flushSync } from "react-dom"
|
||||
import { Toaster, toast } from "sonner"
|
||||
import { ButtonWithTooltip } from "@/components/button-with-tooltip"
|
||||
import { ChatInput } from "@/components/chat-input"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
import { ModelConfigDialog } from "@/components/model-config-dialog"
|
||||
import { SettingsDialog } from "@/components/settings-dialog"
|
||||
import { useDiagram } from "@/contexts/diagram-context"
|
||||
@@ -29,18 +29,14 @@ import { useDiagramToolHandlers } from "@/hooks/use-diagram-tool-handlers"
|
||||
import { useDictionary } from "@/hooks/use-dictionary"
|
||||
import { getSelectedAIConfig, useModelConfig } from "@/hooks/use-model-config"
|
||||
import { useSessionManager } from "@/hooks/use-session-manager"
|
||||
import { useValidateDiagram } from "@/hooks/use-validate-diagram"
|
||||
import { getApiEndpoint } from "@/lib/base-path"
|
||||
import { findCachedResponse } from "@/lib/cached-responses"
|
||||
import { formatMessage } from "@/lib/i18n/utils"
|
||||
import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
|
||||
import { sanitizeMessages } from "@/lib/session-storage"
|
||||
import { STORAGE_KEYS } from "@/lib/storage"
|
||||
import type { UrlData } from "@/lib/url-utils"
|
||||
import { type FileData, useFileProcessor } from "@/lib/use-file-processor"
|
||||
import { useQuotaManager } from "@/lib/use-quota-manager"
|
||||
import { cn, formatXML, isRealDiagram } from "@/lib/utils"
|
||||
import type { ValidationState } from "./chat/ValidationCard"
|
||||
import { ChatMessageDisplay } from "./chat-message-display"
|
||||
import { DevXmlSimulator } from "./dev-xml-simulator"
|
||||
|
||||
@@ -73,13 +69,13 @@ interface ChatPanelProps {
|
||||
darkMode: boolean
|
||||
onToggleDarkMode: () => void
|
||||
isMobile?: boolean
|
||||
onCloseProtectionChange?: (enabled: boolean) => void
|
||||
}
|
||||
|
||||
// Constants for tool states
|
||||
const TOOL_ERROR_STATE = "output-error" as const
|
||||
const DEBUG = process.env.NODE_ENV === "development"
|
||||
// Increased to 3 to support VLM validation retries (matches MAX_VALIDATION_RETRIES)
|
||||
const MAX_AUTO_RETRY_COUNT = 3
|
||||
const MAX_AUTO_RETRY_COUNT = 1
|
||||
|
||||
const MAX_CONTINUATION_RETRY_COUNT = 2 // Limit for truncation continuation retries
|
||||
|
||||
@@ -114,6 +110,7 @@ export default function ChatPanel({
|
||||
darkMode,
|
||||
onToggleDarkMode,
|
||||
isMobile = false,
|
||||
onCloseProtectionChange,
|
||||
}: ChatPanelProps) {
|
||||
const {
|
||||
loadDiagram: onDisplayChart,
|
||||
@@ -124,14 +121,12 @@ export default function ChatPanel({
|
||||
latestSvg,
|
||||
clearDiagram,
|
||||
getThumbnailSvg,
|
||||
captureValidationPng,
|
||||
diagramHistory,
|
||||
setDiagramHistory,
|
||||
} = useDiagram()
|
||||
|
||||
const dict = useDictionary()
|
||||
const router = useRouter()
|
||||
const pathname = usePathname()
|
||||
const searchParams = useSearchParams()
|
||||
const urlSessionId = searchParams.get("session")
|
||||
|
||||
@@ -163,7 +158,6 @@ export default function ChatPanel({
|
||||
|
||||
// File processing using extracted hook
|
||||
const { files, pdfData, handleFileChange, setFiles } = useFileProcessor()
|
||||
const [urlData, setUrlData] = useState<Map<string, UrlData>>(new Map())
|
||||
|
||||
const [showSettingsDialog, setShowSettingsDialog] = useState(false)
|
||||
const [showModelConfigDialog, setShowModelConfigDialog] = useState(false)
|
||||
@@ -179,8 +173,6 @@ export default function ChatPanel({
|
||||
const [dailyTokenLimit, setDailyTokenLimit] = useState(0)
|
||||
const [tpmLimit, setTpmLimit] = useState(0)
|
||||
const [minimalStyle, setMinimalStyle] = useState(false)
|
||||
const [vlmValidationEnabled, setVlmValidationEnabled] = useState(false)
|
||||
const [shouldFocusInput, setShouldFocusInput] = useState(false)
|
||||
|
||||
// Restore input from sessionStorage on mount (when ChatPanel remounts due to key change)
|
||||
useEffect(() => {
|
||||
@@ -190,14 +182,6 @@ export default function ChatPanel({
|
||||
}
|
||||
}, [])
|
||||
|
||||
// Load VLM validation setting from localStorage on mount
|
||||
useEffect(() => {
|
||||
const stored = localStorage.getItem(STORAGE_KEYS.vlmValidationEnabled)
|
||||
if (stored !== null) {
|
||||
setVlmValidationEnabled(stored === "true")
|
||||
}
|
||||
}, [])
|
||||
|
||||
// Check config on mount
|
||||
useEffect(() => {
|
||||
fetch(getApiEndpoint("/api/config"))
|
||||
@@ -285,46 +269,6 @@ export default function ChatPanel({
|
||||
> | null>(null)
|
||||
const LOCAL_STORAGE_DEBOUNCE_MS = 1000 // Save at most once per second
|
||||
|
||||
// Validation state for displaying VLM validation progress
|
||||
// Key: toolCallId, Value: ValidationState
|
||||
const [validationStates, setValidationStates] = useState<
|
||||
Record<string, ValidationState>
|
||||
>({})
|
||||
|
||||
// Callback to update validation state from tool handler
|
||||
const handleValidationStateChange = useCallback(
|
||||
(toolCallId: string, state: ValidationState) => {
|
||||
setValidationStates((prev) => ({
|
||||
...prev,
|
||||
[toolCallId]: state,
|
||||
}))
|
||||
},
|
||||
[],
|
||||
)
|
||||
|
||||
// Handler for VLM validation setting change
|
||||
const handleVlmValidationChange = useCallback((value: boolean) => {
|
||||
setVlmValidationEnabled(value)
|
||||
localStorage.setItem(STORAGE_KEYS.vlmValidationEnabled, String(value))
|
||||
}, [])
|
||||
|
||||
// Ref to store the sendMessage function for use in callbacks
|
||||
const sendMessageRef = useRef<typeof sendMessage | null>(null)
|
||||
|
||||
// Callback to improve diagram with validation suggestions
|
||||
const handleImproveWithSuggestions = useCallback((feedback: string) => {
|
||||
if (sendMessageRef.current) {
|
||||
// Send the feedback as a new user message to trigger regeneration
|
||||
sendMessageRef.current({
|
||||
role: "user",
|
||||
parts: [{ type: "text", text: feedback }],
|
||||
})
|
||||
}
|
||||
}, [])
|
||||
|
||||
// VLM validation hook using AI SDK's useObject
|
||||
const { validateWithFallback } = useValidateDiagram()
|
||||
|
||||
// Diagram tool handlers (display_diagram, edit_diagram, append_diagram)
|
||||
const { handleToolCall } = useDiagramToolHandlers({
|
||||
partialXmlRef,
|
||||
@@ -333,167 +277,153 @@ export default function ChatPanel({
|
||||
onDisplayChart,
|
||||
onFetchChart,
|
||||
onExport,
|
||||
captureValidationPng,
|
||||
validateDiagram: validateWithFallback,
|
||||
enableVlmValidation: vlmValidationEnabled,
|
||||
sessionId,
|
||||
onValidationStateChange: handleValidationStateChange,
|
||||
})
|
||||
|
||||
const {
|
||||
messages,
|
||||
sendMessage,
|
||||
addToolOutput,
|
||||
status,
|
||||
error,
|
||||
setMessages,
|
||||
stop,
|
||||
} = useChat({
|
||||
transport: new DefaultChatTransport({
|
||||
api: getApiEndpoint("/api/chat"),
|
||||
}),
|
||||
onToolCall: async ({ toolCall }) => {
|
||||
await handleToolCall({ toolCall }, addToolOutput)
|
||||
},
|
||||
onError: (error) => {
|
||||
// Handle server-side quota limit (429 response)
|
||||
// AI SDK puts the full response body in error.message for non-OK responses
|
||||
try {
|
||||
const data = JSON.parse(error.message)
|
||||
if (data.type === "request") {
|
||||
quotaManager.showQuotaLimitToast(data.used, data.limit)
|
||||
const { messages, sendMessage, addToolOutput, status, error, setMessages } =
|
||||
useChat({
|
||||
transport: new DefaultChatTransport({
|
||||
api: getApiEndpoint("/api/chat"),
|
||||
}),
|
||||
onToolCall: async ({ toolCall }) => {
|
||||
await handleToolCall({ toolCall }, addToolOutput)
|
||||
},
|
||||
onError: (error) => {
|
||||
// Handle server-side quota limit (429 response)
|
||||
// AI SDK puts the full response body in error.message for non-OK responses
|
||||
try {
|
||||
const data = JSON.parse(error.message)
|
||||
if (data.type === "request") {
|
||||
quotaManager.showQuotaLimitToast(data.used, data.limit)
|
||||
return
|
||||
}
|
||||
if (data.type === "token") {
|
||||
quotaManager.showTokenLimitToast(data.used, data.limit)
|
||||
return
|
||||
}
|
||||
if (data.type === "tpm") {
|
||||
quotaManager.showTPMLimitToast(data.limit)
|
||||
return
|
||||
}
|
||||
} catch {
|
||||
// Not JSON, fall through to string matching for backwards compatibility
|
||||
}
|
||||
|
||||
// Fallback to string matching
|
||||
if (error.message.includes("Daily request limit")) {
|
||||
quotaManager.showQuotaLimitToast()
|
||||
return
|
||||
}
|
||||
if (data.type === "token") {
|
||||
quotaManager.showTokenLimitToast(data.used, data.limit)
|
||||
if (error.message.includes("Daily token limit")) {
|
||||
quotaManager.showTokenLimitToast()
|
||||
return
|
||||
}
|
||||
if (data.type === "tpm") {
|
||||
quotaManager.showTPMLimitToast(data.limit)
|
||||
return
|
||||
}
|
||||
} catch {
|
||||
// Not JSON, fall through to string matching for backwards compatibility
|
||||
}
|
||||
|
||||
// Fallback to string matching
|
||||
if (error.message.includes("Daily request limit")) {
|
||||
quotaManager.showQuotaLimitToast()
|
||||
return
|
||||
}
|
||||
if (error.message.includes("Daily token limit")) {
|
||||
quotaManager.showTokenLimitToast()
|
||||
return
|
||||
}
|
||||
if (
|
||||
error.message.includes("Rate limit exceeded") ||
|
||||
error.message.includes("tokens per minute")
|
||||
) {
|
||||
quotaManager.showTPMLimitToast()
|
||||
return
|
||||
}
|
||||
|
||||
// Silence access code error in console since it's handled by UI
|
||||
if (!error.message.includes("Invalid or missing access code")) {
|
||||
console.error("Chat error:", error)
|
||||
}
|
||||
|
||||
// Translate technical errors into user-friendly messages
|
||||
// The server now handles detailed error messages, so we can display them directly.
|
||||
// But we still handle connection/network errors that happen before reaching the server.
|
||||
let friendlyMessage = error.message
|
||||
|
||||
// Simple check for network errors if message is generic
|
||||
if (friendlyMessage === "Failed to fetch") {
|
||||
friendlyMessage = "Network error. Please check your connection."
|
||||
}
|
||||
|
||||
// Truncated tool input error (model output limit too low)
|
||||
if (friendlyMessage.includes("toolUse.input is invalid")) {
|
||||
friendlyMessage =
|
||||
"Output was truncated before the diagram could be generated. Try a simpler request or increase the maxOutputLength."
|
||||
}
|
||||
|
||||
// Translate image not supported error
|
||||
if (
|
||||
friendlyMessage.includes("image content block") ||
|
||||
friendlyMessage.toLowerCase().includes("image_url")
|
||||
) {
|
||||
friendlyMessage = "This model doesn't support image input."
|
||||
}
|
||||
|
||||
// Add system message for error so it can be cleared
|
||||
setMessages((currentMessages) => {
|
||||
const errorMessage = {
|
||||
id: `error-${Date.now()}`,
|
||||
role: "system" as const,
|
||||
content: friendlyMessage,
|
||||
parts: [{ type: "text" as const, text: friendlyMessage }],
|
||||
}
|
||||
return [...currentMessages, errorMessage]
|
||||
})
|
||||
|
||||
if (error.message.includes("Invalid or missing access code")) {
|
||||
// Show settings dialog to help user fix it
|
||||
setShowSettingsDialog(true)
|
||||
}
|
||||
},
|
||||
onFinish: () => {},
|
||||
sendAutomaticallyWhen: ({ messages }) => {
|
||||
const isInContinuationMode = partialXmlRef.current.length > 0
|
||||
|
||||
const shouldRetry = hasToolErrors(
|
||||
messages as unknown as ChatMessage[],
|
||||
)
|
||||
|
||||
if (!shouldRetry) {
|
||||
// No error, reset retry count and clear state
|
||||
autoRetryCountRef.current = 0
|
||||
continuationRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
|
||||
// Continuation mode: limited retries for truncation handling
|
||||
if (isInContinuationMode) {
|
||||
if (
|
||||
continuationRetryCountRef.current >=
|
||||
MAX_CONTINUATION_RETRY_COUNT
|
||||
error.message.includes("Rate limit exceeded") ||
|
||||
error.message.includes("tokens per minute")
|
||||
) {
|
||||
toast.error(
|
||||
formatMessage(dict.errors.continuationRetryLimit, {
|
||||
max: MAX_CONTINUATION_RETRY_COUNT,
|
||||
}),
|
||||
)
|
||||
quotaManager.showTPMLimitToast()
|
||||
return
|
||||
}
|
||||
|
||||
// Silence access code error in console since it's handled by UI
|
||||
if (!error.message.includes("Invalid or missing access code")) {
|
||||
console.error("Chat error:", error)
|
||||
}
|
||||
|
||||
// Translate technical errors into user-friendly messages
|
||||
// The server now handles detailed error messages, so we can display them directly.
|
||||
// But we still handle connection/network errors that happen before reaching the server.
|
||||
let friendlyMessage = error.message
|
||||
|
||||
// Simple check for network errors if message is generic
|
||||
if (friendlyMessage === "Failed to fetch") {
|
||||
friendlyMessage =
|
||||
"Network error. Please check your connection."
|
||||
}
|
||||
|
||||
// Truncated tool input error (model output limit too low)
|
||||
if (friendlyMessage.includes("toolUse.input is invalid")) {
|
||||
friendlyMessage =
|
||||
"Output was truncated before the diagram could be generated. Try a simpler request or increase the maxOutputLength."
|
||||
}
|
||||
|
||||
// Translate image not supported error
|
||||
if (
|
||||
friendlyMessage.includes("image content block") ||
|
||||
friendlyMessage.toLowerCase().includes("image_url")
|
||||
) {
|
||||
friendlyMessage = "This model doesn't support image input."
|
||||
}
|
||||
|
||||
// Add system message for error so it can be cleared
|
||||
setMessages((currentMessages) => {
|
||||
const errorMessage = {
|
||||
id: `error-${Date.now()}`,
|
||||
role: "system" as const,
|
||||
content: friendlyMessage,
|
||||
parts: [
|
||||
{ type: "text" as const, text: friendlyMessage },
|
||||
],
|
||||
}
|
||||
return [...currentMessages, errorMessage]
|
||||
})
|
||||
|
||||
if (error.message.includes("Invalid or missing access code")) {
|
||||
// Show settings dialog to help user fix it
|
||||
setShowSettingsDialog(true)
|
||||
}
|
||||
},
|
||||
onFinish: () => {},
|
||||
sendAutomaticallyWhen: ({ messages }) => {
|
||||
const isInContinuationMode = partialXmlRef.current.length > 0
|
||||
|
||||
const shouldRetry = hasToolErrors(
|
||||
messages as unknown as ChatMessage[],
|
||||
)
|
||||
|
||||
if (!shouldRetry) {
|
||||
// No error, reset retry count and clear state
|
||||
autoRetryCountRef.current = 0
|
||||
continuationRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
continuationRetryCountRef.current++
|
||||
} else {
|
||||
// Regular error: check retry count limit
|
||||
if (autoRetryCountRef.current >= MAX_AUTO_RETRY_COUNT) {
|
||||
toast.error(
|
||||
formatMessage(dict.errors.retryLimit, {
|
||||
max: MAX_AUTO_RETRY_COUNT,
|
||||
}),
|
||||
)
|
||||
autoRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
|
||||
// Continuation mode: limited retries for truncation handling
|
||||
if (isInContinuationMode) {
|
||||
if (
|
||||
continuationRetryCountRef.current >=
|
||||
MAX_CONTINUATION_RETRY_COUNT
|
||||
) {
|
||||
toast.error(
|
||||
formatMessage(dict.errors.continuationRetryLimit, {
|
||||
max: MAX_CONTINUATION_RETRY_COUNT,
|
||||
}),
|
||||
)
|
||||
continuationRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
continuationRetryCountRef.current++
|
||||
} else {
|
||||
// Regular error: check retry count limit
|
||||
if (autoRetryCountRef.current >= MAX_AUTO_RETRY_COUNT) {
|
||||
toast.error(
|
||||
formatMessage(dict.errors.retryLimit, {
|
||||
max: MAX_AUTO_RETRY_COUNT,
|
||||
}),
|
||||
)
|
||||
autoRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
// Increment retry count for actual errors
|
||||
autoRetryCountRef.current++
|
||||
}
|
||||
// Increment retry count for actual errors
|
||||
autoRetryCountRef.current++
|
||||
}
|
||||
|
||||
return true
|
||||
},
|
||||
})
|
||||
|
||||
// Store sendMessage in ref for use in callbacks (like handleImproveWithSuggestions)
|
||||
useEffect(() => {
|
||||
sendMessageRef.current = sendMessage
|
||||
}, [sendMessage])
|
||||
return true
|
||||
},
|
||||
})
|
||||
|
||||
// Ref to track latest messages for unload persistence
|
||||
const messagesRef = useRef(messages)
|
||||
@@ -780,8 +710,6 @@ export default function ChatPanel({
|
||||
input,
|
||||
files,
|
||||
pdfData,
|
||||
undefined,
|
||||
urlData,
|
||||
)
|
||||
|
||||
setMessages([
|
||||
@@ -807,7 +735,6 @@ export default function ChatPanel({
|
||||
setInput("")
|
||||
sessionStorage.removeItem(SESSION_STORAGE_INPUT_KEY)
|
||||
setFiles([])
|
||||
setUrlData(new Map())
|
||||
return
|
||||
}
|
||||
}
|
||||
@@ -828,7 +755,6 @@ export default function ChatPanel({
|
||||
files,
|
||||
pdfData,
|
||||
parts,
|
||||
urlData,
|
||||
)
|
||||
|
||||
// Add the combined text as the first part
|
||||
@@ -853,7 +779,6 @@ export default function ChatPanel({
|
||||
setInput("")
|
||||
sessionStorage.removeItem(SESSION_STORAGE_INPUT_KEY)
|
||||
setFiles([])
|
||||
setUrlData(new Map())
|
||||
} catch (error) {
|
||||
console.error("Error fetching chart data:", error)
|
||||
}
|
||||
@@ -889,7 +814,6 @@ export default function ChatPanel({
|
||||
} else {
|
||||
justLoadedSessionIdRef.current = null
|
||||
}
|
||||
setValidationStates({}) // Clear validation states when switching sessions
|
||||
syncUIWithSession(sessionData)
|
||||
router.replace(`?session=${sessionId}`, { scroll: false })
|
||||
}
|
||||
@@ -906,10 +830,10 @@ export default function ChatPanel({
|
||||
if (result.wasCurrentSession) {
|
||||
// Deleted current session - clear UI and URL
|
||||
syncUIWithSession(null)
|
||||
router.replace(pathname, { scroll: false })
|
||||
router.replace(window.location.pathname, { scroll: false })
|
||||
}
|
||||
},
|
||||
[sessionManager, syncUIWithSession, router, pathname],
|
||||
[sessionManager, syncUIWithSession, router],
|
||||
)
|
||||
|
||||
const handleNewChat = useCallback(async () => {
|
||||
@@ -927,12 +851,9 @@ export default function ChatPanel({
|
||||
|
||||
// Clear UI state (can't use syncUIWithSession here because we also need to clear files)
|
||||
setMessages([])
|
||||
setInput("")
|
||||
clearDiagram()
|
||||
setDiagramHistory([])
|
||||
setValidationStates({}) // Clear validation states to prevent memory leak
|
||||
handleFileChange([]) // Use handleFileChange to also clear pdfData
|
||||
setUrlData(new Map())
|
||||
const newSessionId = `session-${Date.now()}-${Math.random()
|
||||
.toString(36)
|
||||
.slice(2, 9)}`
|
||||
@@ -942,10 +863,7 @@ export default function ChatPanel({
|
||||
toast.success(dict.dialogs.clearSuccess)
|
||||
|
||||
// Clear URL param to show blank state
|
||||
router.replace(pathname, { scroll: false })
|
||||
|
||||
// After starting a fresh chat, move focus back to the chat input
|
||||
setShouldFocusInput(true)
|
||||
router.replace(window.location.pathname, { scroll: false })
|
||||
}, [
|
||||
clearDiagram,
|
||||
handleFileChange,
|
||||
@@ -957,7 +875,6 @@ export default function ChatPanel({
|
||||
dict.dialogs.clearSuccess,
|
||||
buildSessionData,
|
||||
setDiagramHistory,
|
||||
pathname,
|
||||
])
|
||||
|
||||
const handleInputChange = (
|
||||
@@ -997,29 +914,6 @@ export default function ChatPanel({
|
||||
}
|
||||
}
|
||||
|
||||
// Handle stop button click
|
||||
const handleStop = useCallback(() => {
|
||||
const lastMessage = messages[messages.length - 1]
|
||||
const toolParts = lastMessage?.parts?.filter(
|
||||
(part: any) =>
|
||||
part.type?.startsWith("tool-") &&
|
||||
part.state === "input-streaming",
|
||||
)
|
||||
|
||||
toolParts?.forEach((part: any) => {
|
||||
if (part.toolCallId) {
|
||||
addToolOutput({
|
||||
tool: part.type.replace("tool-", ""),
|
||||
toolCallId: part.toolCallId,
|
||||
state: "output-error",
|
||||
errorText: "Stopped by user",
|
||||
})
|
||||
}
|
||||
})
|
||||
|
||||
stop()
|
||||
}, [messages, addToolOutput, stop])
|
||||
|
||||
// Send chat message with headers
|
||||
const sendChatMessage = (
|
||||
parts: any,
|
||||
@@ -1063,14 +957,6 @@ export default function ChatPanel({
|
||||
...(config.awsSessionToken && {
|
||||
"x-aws-session-token": config.awsSessionToken,
|
||||
}),
|
||||
// Vertex AI credentials (Express Mode)
|
||||
...(config.vertexApiKey && {
|
||||
"x-vertex-api-key": config.vertexApiKey,
|
||||
}),
|
||||
}),
|
||||
// Send selected model ID for server model lookup (apiKeyEnv/baseUrlEnv)
|
||||
...(config.selectedModelId && {
|
||||
"x-selected-model-id": config.selectedModelId,
|
||||
}),
|
||||
...(minimalStyle && {
|
||||
"x-minimal-style": "true",
|
||||
@@ -1086,7 +972,6 @@ export default function ChatPanel({
|
||||
files: File[],
|
||||
pdfData: Map<File, FileData>,
|
||||
imageParts?: any[],
|
||||
urlDataParam?: Map<string, UrlData>,
|
||||
): Promise<string> => {
|
||||
let userText = baseText
|
||||
|
||||
@@ -1117,14 +1002,6 @@ export default function ChatPanel({
|
||||
}
|
||||
}
|
||||
|
||||
if (urlDataParam) {
|
||||
for (const [url, data] of urlDataParam) {
|
||||
if (data.content) {
|
||||
userText += `\n\n[URL: ${url}]\nTitle: ${data.title}\n\n${data.content}`
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return userText
|
||||
}
|
||||
|
||||
@@ -1361,8 +1238,6 @@ export default function ChatPanel({
|
||||
onSelectSession={handleSelectSession}
|
||||
onDeleteSession={handleDeleteSession}
|
||||
loadedMessageIdsRef={loadedMessageIdsRef}
|
||||
validationStates={validationStates}
|
||||
onImproveWithSuggestions={handleImproveWithSuggestions}
|
||||
/>
|
||||
</main>
|
||||
|
||||
@@ -1386,36 +1261,29 @@ export default function ChatPanel({
|
||||
status={status}
|
||||
onSubmit={onFormSubmit}
|
||||
onChange={handleInputChange}
|
||||
onStop={handleStop}
|
||||
files={files}
|
||||
onFileChange={handleFileChange}
|
||||
pdfData={pdfData}
|
||||
urlData={urlData}
|
||||
onUrlChange={setUrlData}
|
||||
sessionId={sessionId}
|
||||
error={error}
|
||||
models={modelConfig.models}
|
||||
selectedModelId={modelConfig.selectedModelId}
|
||||
onModelSelect={modelConfig.setSelectedModelId}
|
||||
onConfigureModels={() => setShowModelConfigDialog(true)}
|
||||
showUnvalidatedModels={modelConfig.showUnvalidatedModels}
|
||||
shouldFocus={shouldFocusInput}
|
||||
onFocused={() => setShouldFocusInput(false)}
|
||||
onConfigureModels={() => setShowModelConfigDialog(true)}
|
||||
/>
|
||||
</footer>
|
||||
|
||||
<SettingsDialog
|
||||
open={showSettingsDialog}
|
||||
onOpenChange={setShowSettingsDialog}
|
||||
onCloseProtectionChange={onCloseProtectionChange}
|
||||
drawioUi={drawioUi}
|
||||
onToggleDrawioUi={onToggleDrawioUi}
|
||||
darkMode={darkMode}
|
||||
onToggleDarkMode={onToggleDarkMode}
|
||||
minimalStyle={minimalStyle}
|
||||
onMinimalStyleChange={setMinimalStyle}
|
||||
vlmValidationEnabled={vlmValidationEnabled}
|
||||
onVlmValidationChange={handleVlmValidationChange}
|
||||
onOpenModelConfig={() => setShowModelConfigDialog(true)}
|
||||
/>
|
||||
|
||||
<ModelConfigDialog
|
||||
|
||||
@@ -8,9 +8,9 @@ import {
|
||||
Trash2,
|
||||
X,
|
||||
} from "lucide-react"
|
||||
import Image from "next/image"
|
||||
import { useState } from "react"
|
||||
import ExamplePanel from "@/components/chat-example-panel"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
import {
|
||||
AlertDialog,
|
||||
AlertDialogAction,
|
||||
|
||||
@@ -67,8 +67,8 @@ export function ToolCallCard({
|
||||
}: 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
|
||||
// Default to collapsed if tool is complete, expanded if still streaming
|
||||
const isExpanded = expandedTools[callId] ?? state !== "output-available"
|
||||
const toolName = part.type?.replace("tool-", "")
|
||||
const isCopied = copiedToolCallId === callId
|
||||
|
||||
|
||||
@@ -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>
|
||||
)
|
||||
}
|
||||
@@ -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 && (
|
||||
|
||||
@@ -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>
|
||||
|
||||
@@ -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} />
|
||||
},
|
||||
)
|
||||
@@ -78,9 +78,7 @@ const PROVIDER_LOGO_MAP: Record<string, string> = {
|
||||
sglang: "openai", // SGLang is OpenAI-compatible
|
||||
gateway: "vercel",
|
||||
edgeone: "tencent-cloud",
|
||||
vertexai: "google",
|
||||
doubao: "bytedance",
|
||||
modelscope: "modelscope",
|
||||
}
|
||||
|
||||
// Provider logo component
|
||||
@@ -238,7 +236,6 @@ export function ModelConfigDialog({
|
||||
"awsAccessKeyId",
|
||||
"awsSecretAccessKey",
|
||||
"awsRegion",
|
||||
"vertexApiKey",
|
||||
]
|
||||
if (credentialFields.includes(field)) {
|
||||
setValidationStatus("idle")
|
||||
@@ -282,8 +279,6 @@ export function ModelConfigDialog({
|
||||
// Check credentials based on provider type
|
||||
const isBedrock = selectedProvider.provider === "bedrock"
|
||||
const isEdgeOne = selectedProvider.provider === "edgeone"
|
||||
const isOllama = selectedProvider.provider === "ollama"
|
||||
const isVertexAI = selectedProvider.provider === "vertexai"
|
||||
if (isBedrock) {
|
||||
if (
|
||||
!selectedProvider.awsAccessKeyId ||
|
||||
@@ -292,12 +287,7 @@ export function ModelConfigDialog({
|
||||
) {
|
||||
return
|
||||
}
|
||||
} else if (isVertexAI) {
|
||||
// Vertex AI requires vertexApiKey for Express Mode
|
||||
if (!selectedProvider.vertexApiKey) {
|
||||
return
|
||||
}
|
||||
} else if (!isEdgeOne && !isOllama && !selectedProvider.apiKey) {
|
||||
} else if (!isEdgeOne && !selectedProvider.apiKey) {
|
||||
return
|
||||
}
|
||||
|
||||
@@ -337,8 +327,6 @@ export function ModelConfigDialog({
|
||||
awsAccessKeyId: selectedProvider.awsAccessKeyId,
|
||||
awsSecretAccessKey: selectedProvider.awsSecretAccessKey,
|
||||
awsRegion: selectedProvider.awsRegion,
|
||||
// Vertex AI credentials (Express Mode)
|
||||
vertexApiKey: selectedProvider.vertexApiKey,
|
||||
}),
|
||||
})
|
||||
const data = await response.json()
|
||||
@@ -444,12 +432,12 @@ export function ModelConfigDialog({
|
||||
}}
|
||||
className={cn(
|
||||
"group flex items-center gap-3 px-3 py-2.5 rounded-xl w-full",
|
||||
"text-left text-sm transition-all duration-150 border border-transparent",
|
||||
"text-left text-sm transition-all duration-150",
|
||||
"hover:bg-interactive-hover",
|
||||
"focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2",
|
||||
selectedProviderId ===
|
||||
provider.id &&
|
||||
"bg-surface-0 shadow-sm border-border-subtle",
|
||||
"bg-surface-0 shadow-sm ring-1 ring-border-subtle",
|
||||
)}
|
||||
>
|
||||
<div
|
||||
@@ -877,159 +865,6 @@ export function ModelConfigDialog({
|
||||
)}
|
||||
</div>
|
||||
</>
|
||||
) : selectedProvider.provider ===
|
||||
"vertexai" ? (
|
||||
<>
|
||||
{/* Vertex AI API Key */}
|
||||
<div className="space-y-2">
|
||||
<Label
|
||||
htmlFor="vertex-api-key"
|
||||
className="text-xs font-medium flex items-center gap-1.5"
|
||||
>
|
||||
<Key className="h-3.5 w-3.5 text-muted-foreground" />
|
||||
API Key
|
||||
</Label>
|
||||
<div className="flex gap-2">
|
||||
<div className="relative flex-1">
|
||||
<Input
|
||||
id="vertex-api-key"
|
||||
type={
|
||||
showApiKey
|
||||
? "text"
|
||||
: "password"
|
||||
}
|
||||
value={
|
||||
selectedProvider.vertexApiKey ||
|
||||
""
|
||||
}
|
||||
onChange={(
|
||||
e,
|
||||
) =>
|
||||
handleProviderUpdate(
|
||||
"vertexApiKey",
|
||||
e
|
||||
.target
|
||||
.value,
|
||||
)
|
||||
}
|
||||
placeholder="Enter your Vertex AI API key"
|
||||
className="h-9 pr-10 font-mono text-xs"
|
||||
/>
|
||||
<button
|
||||
type="button"
|
||||
onClick={() =>
|
||||
setShowApiKey(
|
||||
!showApiKey,
|
||||
)
|
||||
}
|
||||
aria-label={
|
||||
showApiKey
|
||||
? "Hide API key"
|
||||
: "Show API key"
|
||||
}
|
||||
className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 rounded"
|
||||
>
|
||||
{showApiKey ? (
|
||||
<EyeOff className="h-4 w-4" />
|
||||
) : (
|
||||
<Eye className="h-4 w-4" />
|
||||
)}
|
||||
</button>
|
||||
</div>
|
||||
<Button
|
||||
variant={
|
||||
validationStatus ===
|
||||
"success"
|
||||
? "outline"
|
||||
: "default"
|
||||
}
|
||||
size="sm"
|
||||
onClick={
|
||||
handleValidate
|
||||
}
|
||||
disabled={
|
||||
!selectedProvider.vertexApiKey ||
|
||||
validationStatus ===
|
||||
"validating"
|
||||
}
|
||||
className={cn(
|
||||
"h-9 px-4",
|
||||
validationStatus ===
|
||||
"success" &&
|
||||
"text-success border-success/30 bg-success-muted hover:bg-success-muted",
|
||||
)}
|
||||
>
|
||||
{validationStatus ===
|
||||
"validating" ? (
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
) : validationStatus ===
|
||||
"success" ? (
|
||||
<>
|
||||
<Check className="h-4 w-4 mr-1.5 animate-check-pop" />
|
||||
{
|
||||
dict
|
||||
.modelConfig
|
||||
.verified
|
||||
}
|
||||
</>
|
||||
) : (
|
||||
dict
|
||||
.modelConfig
|
||||
.test
|
||||
)}
|
||||
</Button>
|
||||
</div>
|
||||
{validationStatus ===
|
||||
"error" &&
|
||||
validationError && (
|
||||
<p className="text-xs text-destructive flex items-center gap-1">
|
||||
<X className="h-3 w-3" />
|
||||
{
|
||||
validationError
|
||||
}
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* Base URL (optional) */}
|
||||
<div className="space-y-2">
|
||||
<Label
|
||||
htmlFor="vertex-base-url"
|
||||
className="text-xs font-medium flex items-center gap-1.5"
|
||||
>
|
||||
<Link2 className="h-3.5 w-3.5 text-muted-foreground" />
|
||||
{formatMessage(
|
||||
dict.modelConfig
|
||||
.baseUrlWithExample,
|
||||
{
|
||||
example:
|
||||
PROVIDER_INFO[
|
||||
selectedProvider
|
||||
.provider
|
||||
]
|
||||
.defaultBaseUrl ||
|
||||
"https://api.example.com/v1",
|
||||
},
|
||||
)}
|
||||
</Label>
|
||||
<Input
|
||||
id="vertex-base-url"
|
||||
value={
|
||||
selectedProvider.baseUrl ||
|
||||
""
|
||||
}
|
||||
onChange={(e) =>
|
||||
handleProviderUpdate(
|
||||
"baseUrl",
|
||||
e.target
|
||||
.value,
|
||||
)
|
||||
}
|
||||
placeholder="Custom endpoint URL"
|
||||
className="h-9 font-mono text-xs"
|
||||
/>
|
||||
</div>
|
||||
</>
|
||||
) : selectedProvider.provider ===
|
||||
"edgeone" ? (
|
||||
<div className="space-y-3">
|
||||
@@ -1099,9 +934,6 @@ export function ModelConfigDialog({
|
||||
dict.modelConfig
|
||||
.apiKey
|
||||
}
|
||||
{selectedProvider.provider ===
|
||||
"ollama" &&
|
||||
` ${dict.modelConfig.optional}`}
|
||||
</Label>
|
||||
<div className="flex gap-2">
|
||||
<div className="relative flex-1">
|
||||
@@ -1165,9 +997,7 @@ export function ModelConfigDialog({
|
||||
handleValidate
|
||||
}
|
||||
disabled={
|
||||
(selectedProvider.provider !==
|
||||
"ollama" &&
|
||||
!selectedProvider.apiKey) ||
|
||||
!selectedProvider.apiKey ||
|
||||
validationStatus ===
|
||||
"validating"
|
||||
}
|
||||
@@ -1217,19 +1047,17 @@ export function ModelConfigDialog({
|
||||
className="text-xs font-medium flex items-center gap-1.5"
|
||||
>
|
||||
<Link2 className="h-3.5 w-3.5 text-muted-foreground" />
|
||||
{formatMessage(
|
||||
{
|
||||
dict.modelConfig
|
||||
.baseUrlWithExample,
|
||||
.baseUrl
|
||||
}
|
||||
<span className="text-muted-foreground font-normal">
|
||||
{
|
||||
example:
|
||||
PROVIDER_INFO[
|
||||
selectedProvider
|
||||
.provider
|
||||
]
|
||||
.defaultBaseUrl ||
|
||||
"https://api.example.com/v1",
|
||||
},
|
||||
)}
|
||||
dict
|
||||
.modelConfig
|
||||
.optional
|
||||
}
|
||||
</span>
|
||||
</Label>
|
||||
<Input
|
||||
id="base-url"
|
||||
@@ -1665,16 +1493,12 @@ export function ModelConfigDialog({
|
||||
<div className="flex items-center justify-between">
|
||||
<div className="flex items-center gap-2">
|
||||
<Switch
|
||||
id="show-unvalidated-models"
|
||||
checked={modelConfig.showUnvalidatedModels}
|
||||
onCheckedChange={
|
||||
modelConfig.setShowUnvalidatedModels
|
||||
}
|
||||
/>
|
||||
<Label
|
||||
htmlFor="show-unvalidated-models"
|
||||
className="text-xs text-muted-foreground cursor-pointer"
|
||||
>
|
||||
<Label className="text-xs text-muted-foreground cursor-pointer">
|
||||
{dict.modelConfig.showUnvalidatedModels}
|
||||
</Label>
|
||||
</div>
|
||||
|
||||
@@ -5,10 +5,8 @@ import {
|
||||
Bot,
|
||||
Check,
|
||||
ChevronDown,
|
||||
Monitor,
|
||||
Server,
|
||||
Settings2,
|
||||
User,
|
||||
} from "lucide-react"
|
||||
import { useEffect, useMemo, useRef, useState } from "react"
|
||||
import {
|
||||
@@ -21,7 +19,6 @@ import {
|
||||
ModelSelectorLogo,
|
||||
ModelSelectorName,
|
||||
ModelSelector as ModelSelectorRoot,
|
||||
ModelSelectorSectionHeader,
|
||||
ModelSelectorSeparator,
|
||||
ModelSelectorTrigger,
|
||||
} from "@/components/ai-elements/model-selector"
|
||||
@@ -34,7 +31,7 @@ interface ModelSelectorProps {
|
||||
models: FlattenedModel[]
|
||||
selectedModelId: string | undefined
|
||||
onSelect: (modelId: string | undefined) => void
|
||||
onConfigure?: () => void
|
||||
onConfigure: () => void
|
||||
disabled?: boolean
|
||||
showUnvalidatedModels?: boolean
|
||||
}
|
||||
@@ -52,9 +49,7 @@ const PROVIDER_LOGO_MAP: Record<string, string> = {
|
||||
sglang: "openai", // SGLang is OpenAI-compatible, use OpenAI logo
|
||||
gateway: "vercel",
|
||||
edgeone: "tencent-cloud",
|
||||
vertexai: "google",
|
||||
doubao: "bytedance",
|
||||
modelscope: "modelscope",
|
||||
}
|
||||
|
||||
// Group models by providerLabel (handles duplicate providers)
|
||||
@@ -66,11 +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)
|
||||
@@ -98,26 +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(
|
||||
@@ -126,7 +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)
|
||||
@@ -182,7 +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
|
||||
@@ -212,241 +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="[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]">
|
||||
<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>
|
||||
|
||||
@@ -79,7 +79,7 @@ export function QuotaLimitToast({
|
||||
<p
|
||||
dangerouslySetInnerHTML={{
|
||||
__html: formatMessage(dict.quota.doubaoSponsorship, {
|
||||
link: "https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project",
|
||||
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",
|
||||
}),
|
||||
}}
|
||||
/>
|
||||
|
||||
@@ -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,
|
||||
@@ -25,7 +24,6 @@ import { Switch } from "@/components/ui/switch"
|
||||
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({
|
||||
@@ -56,24 +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
|
||||
}
|
||||
|
||||
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 {
|
||||
@@ -86,33 +82,26 @@ function getStoredAccessCodeRequired(): boolean | null {
|
||||
function SettingsContent({
|
||||
open,
|
||||
onOpenChange,
|
||||
onCloseProtectionChange,
|
||||
drawioUi,
|
||||
onToggleDrawioUi,
|
||||
darkMode,
|
||||
onToggleDarkMode,
|
||||
minimalStyle = false,
|
||||
onMinimalStyleChange = () => {},
|
||||
vlmValidationEnabled = false,
|
||||
onVlmValidationChange = () => {},
|
||||
onOpenModelConfig,
|
||||
}: 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
|
||||
@@ -154,20 +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])
|
||||
|
||||
@@ -175,13 +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
|
||||
@@ -233,46 +208,6 @@ 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">
|
||||
{/* Header */}
|
||||
@@ -286,27 +221,6 @@ function SettingsContent({
|
||||
{/* Content */}
|
||||
<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">
|
||||
@@ -419,6 +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}
|
||||
@@ -437,110 +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>
|
||||
|
||||
{/* 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
92
components/ui/card.tsx
Normal 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,
|
||||
}
|
||||
@@ -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
|
||||
|
||||
@@ -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>
|
||||
)
|
||||
}
|
||||
@@ -31,7 +31,6 @@ interface DiagramContextType {
|
||||
successMessage?: string,
|
||||
) => void
|
||||
getThumbnailSvg: () => Promise<string | null>
|
||||
captureValidationPng: () => Promise<string | null>
|
||||
isDrawioReady: boolean
|
||||
onDrawioLoad: () => void
|
||||
resetDrawioReady: () => void
|
||||
@@ -52,8 +51,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
|
||||
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 if diagram has been restored after DrawIO remount (e.g., theme change)
|
||||
@@ -150,37 +147,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
|
||||
}
|
||||
}
|
||||
|
||||
// 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
|
||||
}
|
||||
}
|
||||
|
||||
const loadDiagram = (
|
||||
chart: string,
|
||||
skipValidation?: boolean,
|
||||
@@ -220,13 +186,6 @@ 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
|
||||
@@ -394,7 +353,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
|
||||
clearDiagram,
|
||||
saveDiagramToFile,
|
||||
getThumbnailSvg,
|
||||
captureValidationPng,
|
||||
isDrawioReady,
|
||||
onDrawioLoad,
|
||||
resetDrawioReady,
|
||||
|
||||
@@ -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` 或 `vl` 的支持图片
|
||||
- 更新到最新版本(v0.4.9+)
|
||||
|
||||
**相关 Issue**: #324, #421, #469
|
||||
@@ -19,7 +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/newyear-referral?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!
|
||||
> 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
|
||||
|
||||
@@ -37,12 +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
|
||||
@@ -180,7 +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)
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
@@ -195,18 +194,16 @@ npm run dev
|
||||
|
||||
## 多提供商支持
|
||||
|
||||
- [字节跳动豆包](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- [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
|
||||
|
||||
@@ -214,10 +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。
|
||||
@@ -236,7 +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/newyear-referral?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!
|
||||
**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!
|
||||
|
||||
@@ -244,10 +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
|
||||
|
||||
[](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
|
||||
|
||||
@@ -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/newyear-referral?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!
|
||||
> **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
|
||||
@@ -217,63 +204,6 @@ AI_MODEL=openai/gpt-4o
|
||||
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"` 但 `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。
|
||||
|
||||
@@ -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
|
||||
@@ -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/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) 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.
|
||||
@@ -229,66 +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
|
||||
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).
|
||||
|
||||
@@ -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.
|
||||
|
||||
@@ -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
|
||||
@@ -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/newyear-referral?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!
|
||||
> 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)
|
||||
|
||||
[](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/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- [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/newyear-referral?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!
|
||||
**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
|
||||
|
||||
[](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
|
||||
|
||||
@@ -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/newyear-referral?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!
|
||||
> **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。
|
||||
@@ -217,63 +204,6 @@ AI_MODEL=openai/gpt-4o
|
||||
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(例:`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(例:「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。
|
||||
|
||||
@@ -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)
|
||||
@@ -37,11 +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:
|
||||
|
||||
37
electron/electron.d.ts
vendored
37
electron/electron.d.ts
vendored
@@ -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 }
|
||||
|
||||
@@ -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)
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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" }
|
||||
}
|
||||
|
||||
@@ -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",
|
||||
}
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
@@ -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()
|
||||
|
||||
@@ -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}`
|
||||
}
|
||||
|
||||
@@ -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 || "",
|
||||
}
|
||||
}
|
||||
@@ -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()
|
||||
|
||||
@@ -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),
|
||||
})
|
||||
|
||||
@@ -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>
|
||||
|
||||
@@ -288,7 +288,6 @@ function getProviderLabel(provider) {
|
||||
openrouter: "OpenRouter",
|
||||
deepseek: "DeepSeek",
|
||||
siliconflow: "SiliconFlow",
|
||||
modelscope: "ModelScope",
|
||||
ollama: "Ollama",
|
||||
}
|
||||
return labels[provider] || provider
|
||||
|
||||
29
env.example
29
env.example
@@ -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
|
||||
# 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)
|
||||
@@ -130,8 +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
|
||||
|
||||
@@ -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({
|
||||
|
||||
@@ -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,
|
||||
@@ -134,56 +132,14 @@ 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 +148,9 @@ 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 +282,7 @@ export function useModelConfig(): UseModelConfigReturn {
|
||||
|
||||
return {
|
||||
config,
|
||||
isLoaded: isLoaded && serverLoaded,
|
||||
isLoaded,
|
||||
models,
|
||||
selectedModel,
|
||||
selectedModelId: config.selectedModelId,
|
||||
@@ -382,10 +314,6 @@ 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 +325,6 @@ export function getSelectedAIConfig(): {
|
||||
awsSecretAccessKey: "",
|
||||
awsRegion: "",
|
||||
awsSessionToken: "",
|
||||
selectedModelId: "",
|
||||
vertexApiKey: "",
|
||||
}
|
||||
|
||||
if (typeof window === "undefined") return empty
|
||||
@@ -421,8 +347,6 @@ export function getSelectedAIConfig(): {
|
||||
awsSecretAccessKey: "",
|
||||
awsRegion: "",
|
||||
awsSessionToken: "",
|
||||
selectedModelId: "",
|
||||
vertexApiKey: "",
|
||||
}
|
||||
}
|
||||
|
||||
@@ -433,32 +357,12 @@ 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 +379,5 @@ export function getSelectedAIConfig(): {
|
||||
awsSecretAccessKey: model.awsSecretAccessKey || "",
|
||||
awsRegion: model.awsRegion || "",
|
||||
awsSessionToken: model.awsSessionToken || "",
|
||||
selectedModelId: config.selectedModelId || "",
|
||||
// Vertex AI credentials (Express Mode)
|
||||
vertexApiKey: model.vertexApiKey || "",
|
||||
}
|
||||
}
|
||||
|
||||
@@ -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
26
lib/ai-config.ts
Normal 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) || "",
|
||||
}
|
||||
}
|
||||
@@ -4,14 +4,25 @@ 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 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
|
||||
@@ -30,22 +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",
|
||||
@@ -54,9 +58,7 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
|
||||
"sglang",
|
||||
"gateway",
|
||||
"edgeone",
|
||||
"ollama",
|
||||
"doubao",
|
||||
"modelscope",
|
||||
]
|
||||
|
||||
// Bedrock provider options for Anthropic beta features
|
||||
@@ -71,87 +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
|
||||
*/
|
||||
@@ -186,8 +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)
|
||||
@@ -352,46 +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
|
||||
@@ -473,7 +353,6 @@ function buildProviderOptions(
|
||||
case "siliconflow":
|
||||
case "sglang":
|
||||
case "gateway":
|
||||
case "modelscope":
|
||||
case "doubao": {
|
||||
// These providers don't have reasoning configs in AI SDK yet
|
||||
// Gateway passes through to underlying providers which handle their own configs
|
||||
@@ -493,7 +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",
|
||||
@@ -503,7 +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",
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -541,27 +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. ` +
|
||||
@@ -586,7 +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:
|
||||
@@ -596,30 +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. ` +
|
||||
@@ -628,11 +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
|
||||
@@ -688,7 +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 {
|
||||
@@ -702,7 +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}`)
|
||||
@@ -752,16 +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)
|
||||
@@ -779,17 +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,
|
||||
@@ -802,19 +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,
|
||||
@@ -826,42 +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) {
|
||||
@@ -878,39 +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 }),
|
||||
@@ -920,16 +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,
|
||||
@@ -943,17 +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,
|
||||
@@ -963,20 +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)
|
||||
@@ -1080,16 +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) {
|
||||
@@ -1120,61 +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)
|
||||
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`,
|
||||
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao`,
|
||||
)
|
||||
}
|
||||
|
||||
@@ -1212,15 +919,8 @@ export function supportsImageInput(modelId: string): boolean {
|
||||
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")
|
||||
) {
|
||||
// Kimi K2 models don't support images
|
||||
if (lowerModelId.includes("kimi") && !hasVisionIndicator) {
|
||||
return false
|
||||
}
|
||||
|
||||
@@ -1230,39 +930,10 @@ export function supportsImageInput(modelId: string): boolean {
|
||||
}
|
||||
|
||||
// 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")
|
||||
) {
|
||||
if (lowerModelId.includes("qwen") && !hasVisionIndicator) {
|
||||
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
|
||||
}
|
||||
|
||||
@@ -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")
|
||||
}
|
||||
@@ -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]
|
||||
|
||||
@@ -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"]>>
|
||||
|
||||
@@ -28,13 +28,12 @@
|
||||
"azure": "Azure OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"deepseek": "DeepSeek",
|
||||
"siliconflow": "SiliconFlow",
|
||||
"modelscope": "ModelScope"
|
||||
"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",
|
||||
@@ -52,8 +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",
|
||||
@@ -77,8 +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.",
|
||||
@@ -102,26 +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"
|
||||
"download": "Download"
|
||||
},
|
||||
"save": {
|
||||
"title": "Save Diagram",
|
||||
@@ -202,15 +186,6 @@
|
||||
"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",
|
||||
@@ -254,24 +229,6 @@
|
||||
"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",
|
||||
@@ -304,7 +261,6 @@
|
||||
"enterSecretKey": "Enter your secret access key",
|
||||
"baseUrl": "Base URL",
|
||||
"optional": "(optional)",
|
||||
"baseUrlWithExample": "Base URL (optional, e.g. {example})",
|
||||
"customEndpoint": "Custom endpoint URL",
|
||||
"models": "Models",
|
||||
"customModelId": "Custom model ID...",
|
||||
@@ -330,13 +286,10 @@
|
||||
"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"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -28,13 +28,12 @@
|
||||
"azure": "Azure OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"deepseek": "DeepSeek",
|
||||
"siliconflow": "SiliconFlow",
|
||||
"modelscope": "ModelScope"
|
||||
"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",
|
||||
@@ -52,8 +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",
|
||||
@@ -77,8 +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。",
|
||||
@@ -102,26 +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"
|
||||
"download": "ダウンロード"
|
||||
},
|
||||
"save": {
|
||||
"title": "ダイアグラムを保存",
|
||||
@@ -202,15 +186,6 @@
|
||||
"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",
|
||||
@@ -254,24 +229,6 @@
|
||||
"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",
|
||||
@@ -304,7 +261,6 @@
|
||||
"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",
|
||||
"models": "モデル",
|
||||
"customModelId": "カスタムモデル ID...",
|
||||
@@ -330,13 +286,10 @@
|
||||
"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"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,342 +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"
|
||||
},
|
||||
"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"
|
||||
},
|
||||
"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。",
|
||||
"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。",
|
||||
"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。",
|
||||
"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",
|
||||
"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"
|
||||
}
|
||||
}
|
||||
@@ -28,13 +28,12 @@
|
||||
"azure": "Azure OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"deepseek": "DeepSeek",
|
||||
"siliconflow": "SiliconFlow",
|
||||
"modelscope": "ModelScope"
|
||||
"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",
|
||||
@@ -52,8 +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",
|
||||
@@ -77,8 +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。",
|
||||
@@ -102,26 +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"
|
||||
"download": "下载"
|
||||
},
|
||||
"save": {
|
||||
"title": "保存图表",
|
||||
@@ -202,15 +186,6 @@
|
||||
"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",
|
||||
@@ -254,24 +229,6 @@
|
||||
"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",
|
||||
@@ -304,7 +261,6 @@
|
||||
"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",
|
||||
"models": "模型",
|
||||
"customModelId": "自定义模型 ID...",
|
||||
@@ -330,13 +286,10 @@
|
||||
"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"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -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
|
||||
}
|
||||
@@ -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"
|
||||
@@ -12,6 +12,7 @@ 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",
|
||||
@@ -21,10 +22,4 @@ 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",
|
||||
} as const
|
||||
|
||||
@@ -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
39
lib/token-counter.ts
Normal 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,
|
||||
}
|
||||
}
|
||||
@@ -4,10 +4,8 @@ export type ProviderName =
|
||||
| "openai"
|
||||
| "anthropic"
|
||||
| "google"
|
||||
| "vertexai"
|
||||
| "azure"
|
||||
| "bedrock"
|
||||
| "ollama"
|
||||
| "openrouter"
|
||||
| "deepseek"
|
||||
| "siliconflow"
|
||||
@@ -15,7 +13,6 @@ export type ProviderName =
|
||||
| "gateway"
|
||||
| "edgeone"
|
||||
| "doubao"
|
||||
| "modelscope"
|
||||
|
||||
// Individual model configuration
|
||||
export interface ModelConfig {
|
||||
@@ -37,9 +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
|
||||
}
|
||||
@@ -54,7 +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
|
||||
@@ -65,18 +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
|
||||
}
|
||||
|
||||
// Provider metadata
|
||||
@@ -84,61 +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",
|
||||
},
|
||||
}
|
||||
|
||||
// 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",
|
||||
@@ -191,17 +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
|
||||
@@ -264,7 +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
|
||||
@@ -287,18 +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",
|
||||
],
|
||||
}
|
||||
|
||||
// Helper to generate UUID
|
||||
@@ -335,7 +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[] = []
|
||||
|
||||
@@ -357,12 +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,
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
@@ -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,
|
||||
}
|
||||
}
|
||||
@@ -1,9 +1,6 @@
|
||||
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))
|
||||
@@ -476,6 +473,12 @@ 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
|
||||
|
||||
@@ -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`
|
||||
@@ -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]
|
||||
6059
package-lock.json
generated
6059
package-lock.json
generated
File diff suppressed because it is too large
Load Diff
22
package.json
22
package.json
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "next-ai-draw-io",
|
||||
"version": "0.4.12",
|
||||
"version": "0.4.9",
|
||||
"license": "Apache-2.0",
|
||||
"private": true,
|
||||
"main": "dist-electron/main/index.js",
|
||||
@@ -24,7 +24,6 @@
|
||||
"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",
|
||||
@@ -37,21 +36,18 @@
|
||||
"@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": "1.16.1",
|
||||
"@opennextjs/cloudflare": "1.14.7",
|
||||
"@openrouter/ai-sdk-provider": "^1.5.4",
|
||||
"@opentelemetry/api": "^1.9.0",
|
||||
"@opentelemetry/exporter-trace-otlp-http": "^0.211.0",
|
||||
"@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",
|
||||
@@ -71,10 +67,10 @@
|
||||
"clsx": "^2.1.1",
|
||||
"cmdk": "^1.1.1",
|
||||
"idb": "^8.0.3",
|
||||
"js-tiktoken": "^1.0.21",
|
||||
"jsonrepair": "^3.13.1",
|
||||
"lucide-react": "^0.563.0",
|
||||
"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",
|
||||
@@ -91,7 +87,6 @@
|
||||
"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"
|
||||
},
|
||||
@@ -120,7 +115,6 @@
|
||||
"@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",
|
||||
@@ -129,7 +123,7 @@
|
||||
"electron-builder": "^26.0.12",
|
||||
"esbuild": "^0.27.2",
|
||||
"eslint": "9.39.2",
|
||||
"eslint-config-next": "16.1.6",
|
||||
"eslint-config-next": "16.1.1",
|
||||
"husky": "^9.1.7",
|
||||
"jsdom": "^27.4.0",
|
||||
"lint-staged": "^16.2.7",
|
||||
@@ -139,7 +133,7 @@
|
||||
"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": {
|
||||
|
||||
@@ -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"
|
||||
}
|
||||
@@ -1,8 +0,0 @@
|
||||
{
|
||||
"mcpServers": {
|
||||
"drawio": {
|
||||
"command": "npx",
|
||||
"args": ["@next-ai-drawio/mcp-server@latest"]
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -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
|
||||
71
packages/mcp-server/package-lock.json
generated
71
packages/mcp-server/package-lock.json
generated
@@ -1,18 +1,18 @@
|
||||
{
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.16",
|
||||
"version": "0.1.6",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.16",
|
||||
"version": "0.1.6",
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
"@modelcontextprotocol/sdk": "^1.0.4",
|
||||
"linkedom": "^0.18.0",
|
||||
"open": "^11.0.0",
|
||||
"zod": "^4.0.0"
|
||||
"zod": "^3.24.0"
|
||||
},
|
||||
"bin": {
|
||||
"next-ai-drawio-mcp": "dist/index.js"
|
||||
@@ -469,9 +469,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@hono/node-server": {
|
||||
"version": "1.19.9",
|
||||
"resolved": "https://registry.npmjs.org/@hono/node-server/-/node-server-1.19.9.tgz",
|
||||
"integrity": "sha512-vHL6w3ecZsky+8P5MD+eFfaGTyCeOHUIFYMGpQGbrBTSmNNoxv0if69rEZ5giu36weC5saFuznL411gRX7bJDw==",
|
||||
"version": "1.19.7",
|
||||
"resolved": "https://registry.npmjs.org/@hono/node-server/-/node-server-1.19.7.tgz",
|
||||
"integrity": "sha512-vUcD0uauS7EU2caukW8z5lJKtoGMokxNbJtBiwHgpqxEXokaHCBkQUmCHhjFB1VUTWdqj25QoMkMKzgjq+uhrw==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=18.14.1"
|
||||
@@ -481,12 +481,12 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@modelcontextprotocol/sdk": {
|
||||
"version": "1.26.0",
|
||||
"resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.26.0.tgz",
|
||||
"integrity": "sha512-Y5RmPncpiDtTXDbLKswIJzTqu2hyBKxTNsgKqKclDbhIgg1wgtf1fRuvxgTnRfcnxtvvgbIEcqUOzZrJ6iSReg==",
|
||||
"version": "1.25.1",
|
||||
"resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.25.1.tgz",
|
||||
"integrity": "sha512-yO28oVFFC7EBoiKdAn+VqRm+plcfv4v0xp6osG/VsCB0NlPZWi87ajbCZZ8f/RvOFLEu7//rSRmuZZ7lMoe3gQ==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@hono/node-server": "^1.19.9",
|
||||
"@hono/node-server": "^1.19.7",
|
||||
"ajv": "^8.17.1",
|
||||
"ajv-formats": "^3.0.1",
|
||||
"content-type": "^1.0.5",
|
||||
@@ -494,15 +494,14 @@
|
||||
"cross-spawn": "^7.0.5",
|
||||
"eventsource": "^3.0.2",
|
||||
"eventsource-parser": "^3.0.0",
|
||||
"express": "^5.2.1",
|
||||
"express-rate-limit": "^8.2.1",
|
||||
"hono": "^4.11.4",
|
||||
"jose": "^6.1.3",
|
||||
"express": "^5.0.1",
|
||||
"express-rate-limit": "^7.5.0",
|
||||
"jose": "^6.1.1",
|
||||
"json-schema-typed": "^8.0.2",
|
||||
"pkce-challenge": "^5.0.0",
|
||||
"raw-body": "^3.0.0",
|
||||
"zod": "^3.25 || ^4.0",
|
||||
"zod-to-json-schema": "^3.25.1"
|
||||
"zod-to-json-schema": "^3.25.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
@@ -521,9 +520,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@types/node": {
|
||||
"version": "24.10.12",
|
||||
"resolved": "https://registry.npmjs.org/@types/node/-/node-24.10.12.tgz",
|
||||
"integrity": "sha512-68e+T28EbdmLSTkPgs3+UacC6rzmqrcWFPQs1C8mwJhI/r5Uxr0yEuQotczNRROd1gq30NGxee+fo0rSIxpyAw==",
|
||||
"version": "24.10.4",
|
||||
"resolved": "https://registry.npmjs.org/@types/node/-/node-24.10.4.tgz",
|
||||
"integrity": "sha512-vnDVpYPMzs4wunl27jHrfmwojOGKya0xyM3sH+UE5iv5uPS6vX7UIoh6m+vQc5LGBq52HBKPIn/zcSZVzeDEZg==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
@@ -1075,13 +1074,10 @@
|
||||
}
|
||||
},
|
||||
"node_modules/express-rate-limit": {
|
||||
"version": "8.2.1",
|
||||
"resolved": "https://registry.npmjs.org/express-rate-limit/-/express-rate-limit-8.2.1.tgz",
|
||||
"integrity": "sha512-PCZEIEIxqwhzw4KF0n7QF4QqruVTcF73O5kFKUnGOyjbCCgizBBiFaYpd/fnBLUMPw/BWw9OsiN7GgrNYr7j6g==",
|
||||
"version": "7.5.1",
|
||||
"resolved": "https://registry.npmjs.org/express-rate-limit/-/express-rate-limit-7.5.1.tgz",
|
||||
"integrity": "sha512-7iN8iPMDzOMHPUYllBEsQdWVB6fPDMPqwjBaFrgr4Jgr/+okjvzAy+UHlYYL/Vs0OsOrMkwS6PJDkFlJwoxUnw==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"ip-address": "10.0.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 16"
|
||||
},
|
||||
@@ -1264,9 +1260,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/hono": {
|
||||
"version": "4.11.9",
|
||||
"resolved": "https://registry.npmjs.org/hono/-/hono-4.11.9.tgz",
|
||||
"integrity": "sha512-Eaw2YTGM6WOxA6CXbckaEvslr2Ne4NFsKrvc0v97JD5awbmeBLO5w9Ho9L9kmKonrwF9RJlW6BxT1PVv/agBHQ==",
|
||||
"version": "4.11.1",
|
||||
"resolved": "https://registry.npmjs.org/hono/-/hono-4.11.1.tgz",
|
||||
"integrity": "sha512-KsFcH0xxHes0J4zaQgWbYwmz3UPOOskdqZmItstUG93+Wk1ePBLkLGwbP9zlmh1BFUiL8Qp+Xfu9P7feJWpGNg==",
|
||||
"license": "MIT",
|
||||
"peer": true,
|
||||
"engines": {
|
||||
@@ -1352,15 +1348,6 @@
|
||||
"integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ==",
|
||||
"license": "ISC"
|
||||
},
|
||||
"node_modules/ip-address": {
|
||||
"version": "10.0.1",
|
||||
"resolved": "https://registry.npmjs.org/ip-address/-/ip-address-10.0.1.tgz",
|
||||
"integrity": "sha512-NWv9YLW4PoW2B7xtzaS3NCot75m6nK7Icdv0o3lfMceJVRfSoQwqD4wEH5rLwoKJwUiZ/rfpiVBhnaF0FK4HoA==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 12"
|
||||
}
|
||||
},
|
||||
"node_modules/ipaddr.js": {
|
||||
"version": "1.9.1",
|
||||
"resolved": "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-1.9.1.tgz",
|
||||
@@ -2064,9 +2051,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/zod": {
|
||||
"version": "4.3.6",
|
||||
"resolved": "https://registry.npmjs.org/zod/-/zod-4.3.6.tgz",
|
||||
"integrity": "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg==",
|
||||
"version": "3.25.76",
|
||||
"resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz",
|
||||
"integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==",
|
||||
"license": "MIT",
|
||||
"peer": true,
|
||||
"funding": {
|
||||
@@ -2074,9 +2061,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/zod-to-json-schema": {
|
||||
"version": "3.25.1",
|
||||
"resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.1.tgz",
|
||||
"integrity": "sha512-pM/SU9d3YAggzi6MtR4h7ruuQlqKtad8e9S0fmxcMi+ueAK5Korys/aWcV9LIIHTVbj01NdzxcnXSN+O74ZIVA==",
|
||||
"version": "3.25.0",
|
||||
"resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.0.tgz",
|
||||
"integrity": "sha512-HvWtU2UG41LALjajJrML6uQejQhNJx+JBO9IflpSja4R03iNWfKXrj6W2h7ljuLyc1nKS+9yDyL/9tD1U/yBnQ==",
|
||||
"license": "ISC",
|
||||
"peerDependencies": {
|
||||
"zod": "^3.25 || ^4"
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.16",
|
||||
"version": "0.1.11",
|
||||
"description": "MCP server for Next AI Draw.io - AI-powered diagram generation with real-time browser preview",
|
||||
"type": "module",
|
||||
"main": "dist/index.js",
|
||||
@@ -21,16 +21,16 @@
|
||||
"claude",
|
||||
"model-context-protocol"
|
||||
],
|
||||
"author": "DayuanJiang",
|
||||
"author": "Biki-dev",
|
||||
"license": "Apache-2.0",
|
||||
"repository": {
|
||||
"type": "git",
|
||||
"url": "https://github.com/DayuanJiang/next-ai-draw-io",
|
||||
"url": "https://github.com/Biki-dev/next-ai-draw-io",
|
||||
"directory": "packages/mcp-server"
|
||||
},
|
||||
"homepage": "https://next-ai-drawio.jiang.jp",
|
||||
"bugs": {
|
||||
"url": "https://github.com/DayuanJiang/next-ai-draw-io/issues"
|
||||
"url": "https://github.com/Biki-dev/next-ai-draw-io/issues"
|
||||
},
|
||||
"publishConfig": {
|
||||
"access": "public"
|
||||
@@ -39,7 +39,7 @@
|
||||
"@modelcontextprotocol/sdk": "^1.0.4",
|
||||
"linkedom": "^0.18.0",
|
||||
"open": "^11.0.0",
|
||||
"zod": "^4.0.0"
|
||||
"zod": "^3.24.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^24.0.0",
|
||||
|
||||
@@ -44,17 +44,6 @@ function isLikelyMcpSessionId(sessionId: string): boolean {
|
||||
return sessionId.startsWith("mcp-") && sessionId.length <= 128
|
||||
}
|
||||
|
||||
// Find the most recent active session (for auto-redirect when no sessionId provided)
|
||||
function getMostRecentSessionId(): string | null {
|
||||
let mostRecent: { id: string; lastUpdated: Date } | null = null
|
||||
for (const [sessionId, state] of stateStore) {
|
||||
if (!mostRecent || state.lastUpdated > mostRecent.lastUpdated) {
|
||||
mostRecent = { id: sessionId, lastUpdated: state.lastUpdated }
|
||||
}
|
||||
}
|
||||
return mostRecent?.id || null
|
||||
}
|
||||
|
||||
function ensureSessionStateInitialized(sessionId: string): void {
|
||||
if (!sessionId) return
|
||||
if (!isLikelyMcpSessionId(sessionId)) return
|
||||
@@ -69,8 +58,6 @@ interface SessionState {
|
||||
lastUpdated: Date
|
||||
svg?: string // Cached SVG from last browser save
|
||||
syncRequested?: number // Timestamp when sync requested, cleared when browser responds
|
||||
exportFormat?: "png" | "svg" // Set by MCP tool to request browser export
|
||||
exportData?: string // Base64/SVG data returned by browser after export
|
||||
}
|
||||
|
||||
export const stateStore = new Map<string, SessionState>()
|
||||
@@ -93,8 +80,6 @@ export function setState(sessionId: string, xml: string, svg?: string): number {
|
||||
lastUpdated: new Date(),
|
||||
svg: svg || existing?.svg, // Preserve cached SVG if not provided
|
||||
syncRequested: undefined, // Clear sync request when browser pushes state
|
||||
exportFormat: existing?.exportFormat, // Preserve pending export request
|
||||
exportData: existing?.exportData, // Preserve export result
|
||||
})
|
||||
log.debug(`State updated: session=${sessionId}, version=${newVersion}`)
|
||||
return newVersion
|
||||
@@ -210,17 +195,6 @@ function handleRequest(
|
||||
|
||||
if (url.pathname === "/" || url.pathname === "/index.html") {
|
||||
const sessionId = url.searchParams.get("mcp") || ""
|
||||
|
||||
// Auto-redirect to most recent session if no sessionId provided
|
||||
if (!sessionId) {
|
||||
const recentSessionId = getMostRecentSessionId()
|
||||
if (recentSessionId) {
|
||||
res.writeHead(302, { Location: `/?mcp=${recentSessionId}` })
|
||||
res.end()
|
||||
return
|
||||
}
|
||||
}
|
||||
|
||||
ensureSessionStateInitialized(sessionId)
|
||||
|
||||
res.writeHead(200, { "Content-Type": "text/html" })
|
||||
@@ -259,7 +233,6 @@ function handleStateApi(
|
||||
xml: state?.xml || null,
|
||||
version: state?.version || 0,
|
||||
syncRequested: !!state?.syncRequested,
|
||||
exportFormat: state?.exportFormat || null,
|
||||
}),
|
||||
)
|
||||
} else if (req.method === "POST") {
|
||||
@@ -269,30 +242,13 @@ function handleStateApi(
|
||||
})
|
||||
req.on("end", () => {
|
||||
try {
|
||||
const data = JSON.parse(body)
|
||||
const { sessionId } = data
|
||||
const { sessionId, xml, svg } = JSON.parse(body)
|
||||
if (!sessionId) {
|
||||
res.writeHead(400, { "Content-Type": "application/json" })
|
||||
res.end(JSON.stringify({ error: "sessionId required" }))
|
||||
return
|
||||
}
|
||||
|
||||
// Browser is returning export data (png/svg)
|
||||
if (data.exportData !== undefined) {
|
||||
const state = stateStore.get(sessionId)
|
||||
if (state) {
|
||||
state.exportData = data.exportData
|
||||
state.exportFormat = undefined
|
||||
log.debug(
|
||||
`Export data received for session=${sessionId}`,
|
||||
)
|
||||
}
|
||||
res.writeHead(200, { "Content-Type": "application/json" })
|
||||
res.end(JSON.stringify({ success: true }))
|
||||
return
|
||||
}
|
||||
|
||||
const version = setState(sessionId, data.xml, data.svg)
|
||||
const version = setState(sessionId, xml, svg)
|
||||
res.writeHead(200, { "Content-Type": "application/json" })
|
||||
res.end(JSON.stringify({ success: true, version }))
|
||||
} catch {
|
||||
@@ -419,202 +375,85 @@ function getHtmlPage(sessionId: string): string {
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>Next AI Draw.io</title>
|
||||
<title>Draw.io MCP</title>
|
||||
<style>
|
||||
@import url('https://fonts.googleapis.com/css2?family=DM+Sans:wght@400;500;600&display=swap');
|
||||
* { margin: 0; padding: 0; box-sizing: border-box; }
|
||||
html, body { width: 100%; height: 100%; overflow: hidden; }
|
||||
#container { width: 100%; height: 100%; display: flex; flex-direction: column; }
|
||||
#header {
|
||||
padding: 0 20px; height: 52px;
|
||||
background: linear-gradient(to bottom, #ffffff, #fafbfc);
|
||||
border-bottom: 1px solid #e8ecf0;
|
||||
font-family: 'DM Sans', system-ui, -apple-system, sans-serif;
|
||||
padding: 8px 16px; background: #1a1a2e; color: #eee;
|
||||
font-family: system-ui, sans-serif; font-size: 14px;
|
||||
display: flex; justify-content: space-between; align-items: center;
|
||||
box-shadow: 0 1px 3px rgba(0,0,0,0.04);
|
||||
position: relative; z-index: 10;
|
||||
}
|
||||
#header .brand {
|
||||
display: flex; align-items: center; gap: 10px;
|
||||
}
|
||||
#header .logo {
|
||||
width: 28px; height: 28px; border-radius: 6px;
|
||||
background: #18181b;
|
||||
display: flex; align-items: center; justify-content: center;
|
||||
overflow: hidden;
|
||||
}
|
||||
#header .logo img { width: 20px; height: 20px; filter: brightness(0) invert(1); }
|
||||
#header .title {
|
||||
font-size: 15px; font-weight: 600; color: #1a1a2e;
|
||||
letter-spacing: -0.3px;
|
||||
}
|
||||
#header .session {
|
||||
font-size: 11px; color: #8b95a5; font-weight: 400;
|
||||
background: #f1f3f9; padding: 3px 8px; border-radius: 4px;
|
||||
margin-left: 12px; font-family: 'SF Mono', Monaco, monospace;
|
||||
}
|
||||
#header .right { display: flex; align-items: center; gap: 12px; }
|
||||
#save-btn {
|
||||
display: flex; align-items: center; gap: 6px;
|
||||
padding: 7px 14px; border-radius: 8px; font-size: 13px;
|
||||
background: linear-gradient(to bottom, #18181b, #27272a);
|
||||
color: white; border: none; cursor: pointer;
|
||||
font-weight: 500; font-family: inherit;
|
||||
box-shadow: 0 1px 2px rgba(0,0,0,0.1), inset 0 1px 0 rgba(255,255,255,0.1);
|
||||
transition: all 0.15s ease;
|
||||
}
|
||||
#save-btn svg { width: 14px; height: 14px; }
|
||||
#save-btn:hover {
|
||||
background: linear-gradient(to bottom, #27272a, #3f3f46);
|
||||
transform: translateY(-1px);
|
||||
box-shadow: 0 3px 8px rgba(0,0,0,0.15), inset 0 1px 0 rgba(255,255,255,0.1);
|
||||
}
|
||||
#save-btn:active { transform: translateY(0); }
|
||||
#save-btn:disabled, #history-btn:disabled {
|
||||
background: #e5e7eb; color: #9ca3af;
|
||||
cursor: not-allowed; transform: none; box-shadow: none;
|
||||
}
|
||||
#history-btn {
|
||||
display: flex; align-items: center; gap: 6px;
|
||||
padding: 7px 14px; border-radius: 8px; font-size: 13px;
|
||||
background: #f4f4f5; color: #3f3f46; border: 1px solid #e4e4e7;
|
||||
cursor: pointer; font-weight: 500; font-family: inherit;
|
||||
transition: all 0.15s ease;
|
||||
}
|
||||
#history-btn svg { width: 14px; height: 14px; }
|
||||
#history-btn:hover {
|
||||
background: #e4e4e7; border-color: #d4d4d8;
|
||||
}
|
||||
#header .session { color: #888; font-size: 12px; }
|
||||
#header .status { font-size: 12px; }
|
||||
#header .status.connected { color: #4ade80; }
|
||||
#header .status.disconnected { color: #f87171; }
|
||||
#drawio { flex: 1; border: none; }
|
||||
#history-modal, #save-modal {
|
||||
display: none; position: fixed; inset: 0;
|
||||
background: rgba(0,0,0,0.4); backdrop-filter: blur(4px);
|
||||
z-index: 2000; align-items: center; justify-content: center;
|
||||
}
|
||||
#history-modal.open, #save-modal.open { display: flex; }
|
||||
.modal-content {
|
||||
background: white; border-radius: 16px;
|
||||
width: 90%; max-width: 480px; max-height: 70vh;
|
||||
display: flex; flex-direction: column;
|
||||
box-shadow: 0 25px 50px -12px rgba(0,0,0,0.25);
|
||||
font-family: 'DM Sans', system-ui, -apple-system, sans-serif;
|
||||
animation: modalIn 0.2s ease-out;
|
||||
}
|
||||
@keyframes modalIn {
|
||||
from { opacity: 0; transform: scale(0.95) translateY(-10px); }
|
||||
to { opacity: 1; transform: scale(1) translateY(0); }
|
||||
}
|
||||
.modal-header {
|
||||
padding: 20px 24px 16px; border-bottom: 1px solid #f1f3f5;
|
||||
}
|
||||
.modal-header h2 {
|
||||
font-size: 17px; font-weight: 600; margin: 0; color: #18181b;
|
||||
letter-spacing: -0.3px;
|
||||
}
|
||||
.modal-body { flex: 1; overflow-y: auto; padding: 20px 24px; }
|
||||
.modal-footer {
|
||||
padding: 16px 24px; border-top: 1px solid #f1f3f5;
|
||||
display: flex; gap: 10px; justify-content: flex-end;
|
||||
}
|
||||
.history-grid { display: grid; grid-template-columns: repeat(3, 1fr); gap: 10px; }
|
||||
.history-item {
|
||||
border: 2px solid #e4e4e7; border-radius: 10px; padding: 10px;
|
||||
cursor: pointer; text-align: center; transition: all 0.15s ease;
|
||||
background: #fafafa;
|
||||
}
|
||||
.history-item:hover { border-color: #a1a1aa; background: white; }
|
||||
.history-item.selected {
|
||||
border-color: #18181b; background: white;
|
||||
box-shadow: 0 0 0 3px rgba(24,24,27,0.1);
|
||||
}
|
||||
.history-item .thumb {
|
||||
aspect-ratio: 4/3; background: #f4f4f5; border-radius: 6px;
|
||||
#history-btn {
|
||||
position: fixed; bottom: 24px; right: 24px;
|
||||
width: 48px; height: 48px; border-radius: 50%;
|
||||
background: #3b82f6; color: white; border: none; cursor: pointer;
|
||||
box-shadow: 0 4px 12px rgba(0,0,0,0.3);
|
||||
display: flex; align-items: center; justify-content: center;
|
||||
margin-bottom: 6px; overflow: hidden;
|
||||
z-index: 1000;
|
||||
}
|
||||
#history-btn:hover { background: #2563eb; }
|
||||
#history-btn:disabled { background: #6b7280; cursor: not-allowed; }
|
||||
#history-btn svg { width: 24px; height: 24px; }
|
||||
#history-modal {
|
||||
display: none; position: fixed; inset: 0;
|
||||
background: rgba(0,0,0,0.5); z-index: 2000;
|
||||
align-items: center; justify-content: center;
|
||||
}
|
||||
#history-modal.open { display: flex; }
|
||||
.modal-content {
|
||||
background: white; border-radius: 12px;
|
||||
width: 90%; max-width: 500px; max-height: 70vh;
|
||||
display: flex; flex-direction: column;
|
||||
}
|
||||
.modal-header { padding: 16px; border-bottom: 1px solid #e5e7eb; }
|
||||
.modal-header h2 { font-size: 18px; margin: 0; }
|
||||
.modal-body { flex: 1; overflow-y: auto; padding: 16px; }
|
||||
.modal-footer { padding: 12px 16px; border-top: 1px solid #e5e7eb; display: flex; gap: 8px; justify-content: flex-end; }
|
||||
.history-grid { display: grid; grid-template-columns: repeat(3, 1fr); gap: 8px; }
|
||||
.history-item {
|
||||
border: 2px solid #e5e7eb; border-radius: 8px; padding: 8px;
|
||||
cursor: pointer; text-align: center;
|
||||
}
|
||||
.history-item:hover { border-color: #3b82f6; }
|
||||
.history-item.selected { border-color: #3b82f6; box-shadow: 0 0 0 3px rgba(59,130,246,0.3); }
|
||||
.history-item .thumb {
|
||||
aspect-ratio: 4/3; background: #f3f4f6; border-radius: 4px;
|
||||
display: flex; align-items: center; justify-content: center;
|
||||
margin-bottom: 4px; overflow: hidden;
|
||||
}
|
||||
.history-item .thumb img { max-width: 100%; max-height: 100%; object-fit: contain; }
|
||||
.history-item .label { font-size: 11px; color: #71717a; font-weight: 500; }
|
||||
.btn {
|
||||
padding: 9px 18px; border-radius: 8px; font-size: 13px;
|
||||
cursor: pointer; border: none; font-weight: 500;
|
||||
font-family: inherit; transition: all 0.15s ease;
|
||||
}
|
||||
.btn-primary {
|
||||
background: linear-gradient(to bottom, #18181b, #27272a);
|
||||
color: white;
|
||||
box-shadow: 0 1px 2px rgba(0,0,0,0.1), inset 0 1px 0 rgba(255,255,255,0.1);
|
||||
}
|
||||
.btn-primary:hover {
|
||||
background: linear-gradient(to bottom, #27272a, #3f3f46);
|
||||
transform: translateY(-1px);
|
||||
}
|
||||
.btn-primary:disabled {
|
||||
background: #e4e4e7; color: #a1a1aa;
|
||||
cursor: not-allowed; transform: none; box-shadow: none;
|
||||
}
|
||||
.btn-secondary {
|
||||
background: #f4f4f5; color: #3f3f46; border: 1px solid #e4e4e7;
|
||||
}
|
||||
.btn-secondary:hover { background: #e4e4e7; }
|
||||
.empty { text-align: center; padding: 40px; color: #71717a; font-size: 14px; }
|
||||
.form-group { margin-bottom: 18px; }
|
||||
.form-group label {
|
||||
display: block; font-size: 13px; font-weight: 500;
|
||||
margin-bottom: 8px; color: #3f3f46;
|
||||
}
|
||||
.form-group select, .form-group input {
|
||||
width: 100%; padding: 10px 14px; border: 1px solid #e4e4e7;
|
||||
border-radius: 8px; font-size: 14px; outline: none;
|
||||
font-family: inherit; background: white;
|
||||
transition: all 0.15s ease;
|
||||
}
|
||||
.form-group select:focus, .form-group input:focus {
|
||||
border-color: #18181b;
|
||||
box-shadow: 0 0 0 3px rgba(24,24,27,0.08);
|
||||
}
|
||||
.filename-group { display: flex; }
|
||||
.filename-group input { border-radius: 8px 0 0 8px; border-right: none; }
|
||||
.filename-group .ext {
|
||||
padding: 10px 14px; background: #f4f4f5; border: 1px solid #e4e4e7;
|
||||
border-radius: 0 8px 8px 0; font-size: 13px; color: #71717a;
|
||||
font-family: 'SF Mono', Monaco, monospace;
|
||||
}
|
||||
.history-item .label { font-size: 12px; color: #666; }
|
||||
.btn { padding: 8px 16px; border-radius: 6px; font-size: 14px; cursor: pointer; border: none; }
|
||||
.btn-primary { background: #3b82f6; color: white; }
|
||||
.btn-primary:disabled { background: #93c5fd; cursor: not-allowed; }
|
||||
.btn-secondary { background: #f3f4f6; color: #374151; }
|
||||
.empty { text-align: center; padding: 40px; color: #666; }
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div id="container">
|
||||
<div id="header">
|
||||
<div class="brand">
|
||||
<div class="logo">
|
||||
<svg viewBox="0 0 1536 1536" fill="#ffffff">
|
||||
<g transform="translate(0,1536) scale(0.1,-0.1)">
|
||||
<path d="M2765 14404 c-100 -29 -181 -58 -225 -82 -227 -125 -359 -296 -431 -560 -19 -70 -19 -108 -19 -1175 0 -1068 1 -1104 20 -1172 58 -206 159 -356 319 -474 71 -53 199 -121 226 -121 9 0 26 -5 38 -12 12 -6 62 -19 112 -29 85 -17 207 -18 2219 -19 1172 0 2133 -3 2138 -8 4 -4 7 -246 6 -538 l-3 -529 -2330 -5 c-2506 -6 -2373 -3 -2470 -54 -61 -31 -150 -113 -194 -178 -87 -128 -82 -77 -90 -1025 l-6 -838 -360 -6 c-292 -4 -368 -8 -405 -21 -194 -68 -303 -177 -373 -372 l-22 -61 1 -2887 c1 -2716 2 -2890 18 -2935 56 -153 161 -276 286 -334 126 -59 0 -54 1400 -54 1394 0 1290 -4 1410 53 95 45 198 148 242 241 62 133 58 -93 58 3026 0 2992 1 2883 -40 2990 -59 156 -183 272 -360 337 -25 9 -146 14 -440 18 l-405 5 0 540 0 540 2020 3 c1111 1 2030 0 2043 -3 l22 -5 -2 -538 -3 -537 -380 -6 c-312 -4 -388 -8 -426 -21 -195 -68 -326 -204 -383 -399 -15 -51 -16 -295 -16 -2921 0 -2778 1 -2867 19 -2920 36 -104 72 -167 134 -230 75 -78 115 -105 222 -151 l50 -22 1219 -3 c672 -1 1255 1 1300 6 109 12 217 63 298 140 73 69 107 118 144 208 l29 69 3 2880 c2 2687 1 2884 -15 2945 -48 183 -188 332 -373 398 -37 13 -114 17 -430 21 l-385 6 -3 534 c-2 421 0 536 10 543 7 4 925 8 2039 8 1718 0 2028 -2 2038 -14 8 -10 11 -154 11 -531 -1 -284 -4 -523 -7 -531 -4 -12 -69 -14 -392 -14 -354 0 -391 -2 -448 -20 -168 -52 -282 -148 -353 -295 -22 -45 -40 -91 -40 -103 0 -11 -5 -33 -10 -47 -7 -18 -10 -988 -10 -2875 0 -2393 2 -2858 14 -2902 43 -167 148 -298 293 -369 57 -27 107 -44 151 -50 88 -11 2429 -11 2508 0 210 31 416 238 445 450 6 39 8 1245 7 2926 -3 2713 -4 2862 -21 2900 -41 93 -74 150 -110 191 -46 52 -149 134 -169 134 -8 0 -19 5 -24 10 -6 6 -42 19 -80 30 -63 18 -100 20 -415 20 -307 0 -348 2 -353 16 -3 9 -6 390 -6 848 0 797 -1 834 -19 886 -31 87 -50 118 -111 183 -66 70 -141 119 -221 144 -50 16 -228 18 -2389 23 l-2335 5 0 535 0 535 2165 5 c1191 3 2170 8 2176 12 6 4 35 12 65 17 201 35 435 198 539 376 55 93 82 153 110 245 19 63 20 94 20 1167 0 1047 -1 1106 -19 1180 -70 290 -275 523 -539 613 -160 54 232 50 -5028 49 -4182 0 -4856 -2 -4899 -15z"/>
|
||||
</g>
|
||||
</svg>
|
||||
</div>
|
||||
<span class="title">Next AI Draw.io</span>
|
||||
${sessionId ? `<span class="session">${sessionId.slice(-8)}</span>` : ""}
|
||||
</div>
|
||||
<div class="right">
|
||||
<button id="history-btn" title="History" ${sessionId ? "" : "disabled"}>
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<circle cx="12" cy="12" r="10"></circle>
|
||||
<polyline points="12 6 12 12 16 14"></polyline>
|
||||
</svg>
|
||||
History
|
||||
</button>
|
||||
<button id="save-btn" ${sessionId ? "" : "disabled"}>
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"></path>
|
||||
<polyline points="7 10 12 15 17 10"></polyline>
|
||||
<line x1="12" y1="15" x2="12" y2="3"></line>
|
||||
</svg>
|
||||
Download
|
||||
</button>
|
||||
<div>
|
||||
<strong>Draw.io MCP</strong>
|
||||
<span class="session">${sessionId ? `Session: ${sessionId}` : "No session"}</span>
|
||||
</div>
|
||||
<div id="status" class="status disconnected">Connecting...</div>
|
||||
</div>
|
||||
<iframe id="drawio" src="${normalizeUrl(DRAWIO_BASE_URL)}/?embed=1&proto=json&spin=1&libraries=1&noSaveBtn=1&noExitBtn=1&saveAndExit=0"></iframe>
|
||||
<iframe id="drawio" src="${normalizeUrl(DRAWIO_BASE_URL)}/?embed=1&proto=json&spin=1&libraries=1"></iframe>
|
||||
</div>
|
||||
<button id="history-btn" title="History" ${sessionId ? "" : "disabled"}>
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
|
||||
<circle cx="12" cy="12" r="10"></circle>
|
||||
<polyline points="12 6 12 12 16 14"></polyline>
|
||||
</svg>
|
||||
</button>
|
||||
<div id="history-modal">
|
||||
<div class="modal-content">
|
||||
<div class="modal-header"><h2>History</h2></div>
|
||||
@@ -628,39 +467,13 @@ function getHtmlPage(sessionId: string): string {
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="save-modal">
|
||||
<div class="modal-content">
|
||||
<div class="modal-header"><h2>Download Diagram</h2></div>
|
||||
<div class="modal-body">
|
||||
<div class="form-group">
|
||||
<label>Format</label>
|
||||
<select id="save-format">
|
||||
<option value="drawio">Draw.io (.drawio)</option>
|
||||
<option value="png">PNG Image (.png)</option>
|
||||
<option value="svg">SVG Vector (.svg)</option>
|
||||
</select>
|
||||
</div>
|
||||
<div class="form-group">
|
||||
<label>Filename</label>
|
||||
<div class="filename-group">
|
||||
<input type="text" id="save-filename" value="diagram" placeholder="Enter filename">
|
||||
<span class="ext" id="save-ext">.drawio</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="modal-footer">
|
||||
<button class="btn btn-secondary" id="save-cancel-btn">Cancel</button>
|
||||
<button class="btn btn-primary" id="save-confirm-btn">Save</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<script>
|
||||
const sessionId = "${sessionId}";
|
||||
const iframe = document.getElementById('drawio');
|
||||
const statusEl = document.getElementById('status');
|
||||
let currentVersion = 0, isReady = false, pendingXml = null, lastXml = null;
|
||||
let pendingSvgExport = null;
|
||||
let pendingAiSvg = false;
|
||||
let pendingMcpExport = null; // 'png' or 'svg' when MCP requested export
|
||||
|
||||
window.addEventListener('message', (e) => {
|
||||
if (e.origin !== '${DRAWIO_ORIGIN}') return;
|
||||
@@ -668,6 +481,8 @@ function getHtmlPage(sessionId: string): string {
|
||||
const msg = JSON.parse(e.data);
|
||||
if (msg.event === 'init') {
|
||||
isReady = true;
|
||||
statusEl.textContent = 'Ready';
|
||||
statusEl.className = 'status connected';
|
||||
if (pendingXml) { loadDiagram(pendingXml); pendingXml = null; }
|
||||
} else if ((msg.event === 'save' || msg.event === 'autosave') && msg.xml && msg.xml !== lastXml) {
|
||||
// Request SVG export, then push state with SVG
|
||||
@@ -676,40 +491,6 @@ function getHtmlPage(sessionId: string): string {
|
||||
// Fallback if export doesn't respond
|
||||
setTimeout(() => { if (pendingSvgExport === msg.xml) { pushState(msg.xml, ''); pendingSvgExport = null; } }, 2000);
|
||||
} else if (msg.event === 'export' && msg.data) {
|
||||
// Handle MCP server export request (png/svg)
|
||||
// Verify the response matches the requested format to avoid capturing
|
||||
// unrelated exports (autosave SVG, sync XML)
|
||||
if (pendingMcpExport) {
|
||||
const d = msg.data;
|
||||
const isPng = pendingMcpExport === 'png' && (d.startsWith('data:image/png') || (typeof d === 'string' && d.length > 100 && !d.startsWith('<')));
|
||||
const isSvg = pendingMcpExport === 'svg' && (d.startsWith('data:image/svg') || d.startsWith('<svg'));
|
||||
if (isPng || isSvg) {
|
||||
pendingMcpExport = null;
|
||||
fetch('/api/state', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ sessionId, exportData: d })
|
||||
}).catch(() => {});
|
||||
return;
|
||||
}
|
||||
}
|
||||
// Handle file download export (PNG/SVG only, drawio uses lastXml directly)
|
||||
if (pendingDownload && (pendingDownload.format === 'png' || pendingDownload.format === 'svg')) {
|
||||
const dl = pendingDownload;
|
||||
pendingDownload = null;
|
||||
let dataUrl = msg.data;
|
||||
if (!dataUrl.startsWith('data:')) {
|
||||
const mime = dl.format === 'png' ? 'image/png' : 'image/svg+xml';
|
||||
dataUrl = 'data:' + mime + ';base64,' + btoa(unescape(encodeURIComponent(msg.data)));
|
||||
}
|
||||
const a = document.createElement('a');
|
||||
a.href = dataUrl; a.download = dl.filename;
|
||||
document.body.appendChild(a); a.click(); document.body.removeChild(a);
|
||||
saveModal.classList.remove('open');
|
||||
saveConfirmBtn.disabled = false;
|
||||
saveConfirmBtn.textContent = 'Save';
|
||||
return;
|
||||
}
|
||||
// Handle sync export (XML format) - server requested fresh state
|
||||
if (pendingSyncExport && !msg.data.startsWith('data:') && !msg.data.startsWith('<svg')) {
|
||||
pendingSyncExport = false;
|
||||
@@ -772,84 +553,16 @@ function getHtmlPage(sessionId: string): string {
|
||||
pendingSyncExport = true;
|
||||
iframe.contentWindow.postMessage(JSON.stringify({ action: 'export', format: 'xml' }), '*');
|
||||
}
|
||||
// Load new diagram from server (before export, so we export latest)
|
||||
// Load new diagram from server
|
||||
if (s.version > currentVersion && s.xml) {
|
||||
currentVersion = s.version;
|
||||
loadDiagram(s.xml, true);
|
||||
}
|
||||
// Handle export request from MCP server (png/svg) - after version update
|
||||
if (s.exportFormat && !pendingMcpExport && isReady) {
|
||||
pendingMcpExport = s.exportFormat;
|
||||
const exportOpts = s.exportFormat === 'png'
|
||||
? { action: 'export', format: 'png', scale: 2 }
|
||||
: { action: 'export', format: 'svg' };
|
||||
iframe.contentWindow.postMessage(JSON.stringify(exportOpts), '*');
|
||||
// Timeout: reset if draw.io never responds
|
||||
setTimeout(() => { if (pendingMcpExport) { pendingMcpExport = null; } }, 8000);
|
||||
}
|
||||
} catch {}
|
||||
}
|
||||
|
||||
if (sessionId) { poll(); setInterval(poll, 2000); }
|
||||
|
||||
// Save modal
|
||||
const saveBtn = document.getElementById('save-btn');
|
||||
const saveModal = document.getElementById('save-modal');
|
||||
const saveFormat = document.getElementById('save-format');
|
||||
const saveFilename = document.getElementById('save-filename');
|
||||
const saveExt = document.getElementById('save-ext');
|
||||
const saveCancelBtn = document.getElementById('save-cancel-btn');
|
||||
const saveConfirmBtn = document.getElementById('save-confirm-btn');
|
||||
let pendingDownload = null;
|
||||
|
||||
const extMap = { drawio: '.drawio', png: '.png', svg: '.svg' };
|
||||
|
||||
saveBtn.onclick = () => {
|
||||
if (!sessionId || !isReady) return;
|
||||
saveModal.classList.add('open');
|
||||
saveFilename.focus();
|
||||
saveFilename.select();
|
||||
};
|
||||
|
||||
saveFormat.onchange = () => {
|
||||
saveExt.textContent = extMap[saveFormat.value] || '.drawio';
|
||||
};
|
||||
|
||||
saveCancelBtn.onclick = () => { saveModal.classList.remove('open'); };
|
||||
saveModal.onclick = (e) => { if (e.target === saveModal) saveCancelBtn.onclick(); };
|
||||
|
||||
saveConfirmBtn.onclick = () => {
|
||||
const format = saveFormat.value;
|
||||
const filename = (saveFilename.value.trim() || 'diagram') + extMap[format];
|
||||
saveConfirmBtn.disabled = true;
|
||||
saveConfirmBtn.textContent = 'Exporting...';
|
||||
|
||||
if (format === 'drawio') {
|
||||
// Use lastXml directly instead of requesting export (avoids race with SVG exports)
|
||||
let xmlData = lastXml || '';
|
||||
if (xmlData && !xmlData.includes('<mxfile')) {
|
||||
xmlData = '<mxfile host="mcp"><diagram name="Page-1">' + xmlData + '</diagram></mxfile>';
|
||||
}
|
||||
const blob = new Blob([xmlData], { type: 'application/xml' });
|
||||
const url = URL.createObjectURL(blob);
|
||||
const a = document.createElement('a');
|
||||
a.href = url; a.download = filename;
|
||||
document.body.appendChild(a); a.click(); document.body.removeChild(a);
|
||||
URL.revokeObjectURL(url);
|
||||
saveModal.classList.remove('open');
|
||||
saveConfirmBtn.disabled = false;
|
||||
saveConfirmBtn.textContent = 'Save';
|
||||
} else if (format === 'png') {
|
||||
pendingDownload = { format: 'png', filename };
|
||||
iframe.contentWindow.postMessage(JSON.stringify({ action: 'export', format: 'png', scale: 2 }), '*');
|
||||
setTimeout(() => { saveConfirmBtn.disabled = false; saveConfirmBtn.textContent = 'Save'; pendingDownload = null; }, 5000);
|
||||
} else if (format === 'svg') {
|
||||
pendingDownload = { format: 'svg', filename };
|
||||
iframe.contentWindow.postMessage(JSON.stringify({ action: 'export', format: 'svg' }), '*');
|
||||
setTimeout(() => { saveConfirmBtn.disabled = false; saveConfirmBtn.textContent = 'Save'; pendingDownload = null; }, 5000);
|
||||
}
|
||||
};
|
||||
|
||||
// History UI
|
||||
const historyBtn = document.getElementById('history-btn');
|
||||
const historyModal = document.getElementById('history-modal');
|
||||
|
||||
@@ -260,7 +260,6 @@ COMMON STYLES:
|
||||
// Update session state
|
||||
currentSession.xml = xml
|
||||
currentSession.version++
|
||||
currentSession.lastGetDiagramTime = Date.now()
|
||||
|
||||
// Push to embedded server state
|
||||
setState(currentSession.id, xml)
|
||||
@@ -546,24 +545,16 @@ server.registerTool(
|
||||
server.registerTool(
|
||||
"export_diagram",
|
||||
{
|
||||
description:
|
||||
"Export the current diagram to a file. Supports .drawio (XML), .png, and .svg formats. " +
|
||||
"The format is auto-detected from the file extension, or can be specified explicitly.",
|
||||
description: "Export the current diagram to a .drawio file.",
|
||||
inputSchema: {
|
||||
path: z
|
||||
.string()
|
||||
.describe(
|
||||
"File path to save the diagram (e.g., ./diagram.drawio, ./diagram.png, ./diagram.svg)",
|
||||
),
|
||||
format: z
|
||||
.enum(["drawio", "png", "svg"])
|
||||
.optional()
|
||||
.describe(
|
||||
"Export format. If omitted, detected from file extension. Defaults to drawio.",
|
||||
"File path to save the diagram (e.g., ./diagram.drawio)",
|
||||
),
|
||||
},
|
||||
},
|
||||
async ({ path, format }) => {
|
||||
async ({ path }) => {
|
||||
try {
|
||||
if (!currentSession) {
|
||||
return {
|
||||
@@ -598,107 +589,21 @@ server.registerTool(
|
||||
const fs = await import("node:fs/promises")
|
||||
const nodePath = await import("node:path")
|
||||
|
||||
// Detect format from extension if not specified
|
||||
const ext = nodePath.extname(path).toLowerCase()
|
||||
const detectedFormat =
|
||||
format ||
|
||||
(ext === ".png" ? "png" : ext === ".svg" ? "svg" : "drawio")
|
||||
|
||||
// Original .drawio export path (unchanged logic)
|
||||
if (detectedFormat === "drawio") {
|
||||
let filePath = path
|
||||
if (!filePath.endsWith(".drawio")) {
|
||||
filePath = `${filePath}.drawio`
|
||||
}
|
||||
const absolutePath = nodePath.resolve(filePath)
|
||||
await fs.writeFile(absolutePath, currentSession.xml, "utf-8")
|
||||
log.info(`Diagram exported to ${absolutePath}`)
|
||||
return {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: `Diagram exported successfully!\n\nFile: ${absolutePath}\nSize: ${currentSession.xml.length} characters`,
|
||||
},
|
||||
],
|
||||
}
|
||||
}
|
||||
|
||||
// PNG or SVG: request browser to export via iframe
|
||||
let filePath = path
|
||||
if (ext !== `.${detectedFormat}`) {
|
||||
if (ext === ".drawio" || ext === ".png" || ext === ".svg") {
|
||||
filePath = filePath.slice(0, -ext.length)
|
||||
}
|
||||
filePath = `${filePath}.${detectedFormat}`
|
||||
if (!filePath.endsWith(".drawio")) {
|
||||
filePath = `${filePath}.drawio`
|
||||
}
|
||||
|
||||
const absolutePath = nodePath.resolve(filePath)
|
||||
await fs.writeFile(absolutePath, currentSession.xml, "utf-8")
|
||||
|
||||
const state = getState(currentSession.id)
|
||||
if (!state) {
|
||||
return {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "Error: Session state not found. Is the browser open?",
|
||||
},
|
||||
],
|
||||
isError: true,
|
||||
}
|
||||
}
|
||||
state.exportFormat = detectedFormat as "png" | "svg"
|
||||
state.exportData = undefined
|
||||
log.info(`Diagram exported to ${absolutePath}`)
|
||||
|
||||
// Wait for browser to produce the export data
|
||||
const timeoutMs = 10000
|
||||
const start = Date.now()
|
||||
while (Date.now() - start < timeoutMs) {
|
||||
if (state.exportData) break
|
||||
await new Promise((r) => setTimeout(r, 200))
|
||||
}
|
||||
const exportData = state.exportData as string | undefined
|
||||
state.exportData = undefined
|
||||
state.exportFormat = undefined
|
||||
|
||||
if (!exportData) {
|
||||
return {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "Error: Export timed out. Make sure the browser tab is open and the diagram is loaded.",
|
||||
},
|
||||
],
|
||||
isError: true,
|
||||
}
|
||||
}
|
||||
|
||||
// Decode and write
|
||||
if (detectedFormat === "png") {
|
||||
const base64 = exportData.replace(
|
||||
/^data:image\/png;base64,/,
|
||||
"",
|
||||
)
|
||||
await fs.writeFile(absolutePath, Buffer.from(base64, "base64"))
|
||||
} else {
|
||||
let svgContent = exportData
|
||||
if (svgContent.startsWith("data:image/svg+xml;base64,")) {
|
||||
const base64 = svgContent.replace(
|
||||
/^data:image\/svg\+xml;base64,/,
|
||||
"",
|
||||
)
|
||||
svgContent = Buffer.from(base64, "base64").toString("utf-8")
|
||||
}
|
||||
await fs.writeFile(absolutePath, svgContent, "utf-8")
|
||||
}
|
||||
|
||||
const stat = await fs.stat(absolutePath)
|
||||
log.info(
|
||||
`Diagram exported to ${absolutePath} (${detectedFormat}, ${stat.size} bytes)`,
|
||||
)
|
||||
return {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: `Diagram exported successfully!\n\nFile: ${absolutePath}\nFormat: ${detectedFormat}\nSize: ${stat.size} bytes`,
|
||||
text: `Diagram exported successfully!\n\nFile: ${absolutePath}\nSize: ${currentSession.xml.length} characters`,
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
1
proxy.ts
1
proxy.ts
@@ -31,7 +31,6 @@ export function proxy(request: NextRequest) {
|
||||
if (
|
||||
pathname.startsWith("/api/") ||
|
||||
pathname.startsWith("/_next/") ||
|
||||
pathname.startsWith("/drawio") ||
|
||||
pathname.includes("/favicon") ||
|
||||
/\.(.*)$/.test(pathname)
|
||||
) {
|
||||
|
||||
@@ -1,52 +1,10 @@
|
||||
/**
|
||||
* electron-builder afterPack hook
|
||||
* Copies node_modules to the standalone directory in the packaged app
|
||||
* and ad-hoc signs macOS apps for offline draw.io bundle compatibility
|
||||
*/
|
||||
|
||||
const {
|
||||
copyFileSync,
|
||||
existsSync,
|
||||
lstatSync,
|
||||
mkdirSync,
|
||||
readdirSync,
|
||||
statSync,
|
||||
} = require("fs")
|
||||
const { cpSync, existsSync } = require("fs")
|
||||
const path = require("path")
|
||||
const { execSync } = require("child_process")
|
||||
|
||||
/**
|
||||
* Copy directory recursively, converting symlinks to regular files/directories.
|
||||
* This is needed because cpSync with dereference:true does NOT convert symlinks.
|
||||
* macOS codesign fails if bundle contains symlinks pointing outside the bundle.
|
||||
*/
|
||||
function copyDereferenced(src, dst) {
|
||||
const lstat = lstatSync(src)
|
||||
|
||||
if (lstat.isSymbolicLink()) {
|
||||
// Follow symlink and check what it points to
|
||||
const stat = statSync(src)
|
||||
if (stat.isDirectory()) {
|
||||
// Symlink to directory: recursively copy the directory contents
|
||||
mkdirSync(dst, { recursive: true })
|
||||
for (const entry of readdirSync(src)) {
|
||||
copyDereferenced(path.join(src, entry), path.join(dst, entry))
|
||||
}
|
||||
} else {
|
||||
// Symlink to file: copy the actual file content
|
||||
mkdirSync(path.join(dst, ".."), { recursive: true })
|
||||
copyFileSync(src, dst)
|
||||
}
|
||||
} else if (lstat.isDirectory()) {
|
||||
mkdirSync(dst, { recursive: true })
|
||||
for (const entry of readdirSync(src)) {
|
||||
copyDereferenced(path.join(src, entry), path.join(dst, entry))
|
||||
}
|
||||
} else {
|
||||
mkdirSync(path.join(dst, ".."), { recursive: true })
|
||||
copyFileSync(src, dst)
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = async (context) => {
|
||||
const appOutDir = context.appOutDir
|
||||
@@ -67,7 +25,7 @@ module.exports = async (context) => {
|
||||
console.log(`[afterPack] Copying node_modules to ${targetNodeModules}`)
|
||||
|
||||
if (existsSync(sourceNodeModules) && existsSync(standaloneDir)) {
|
||||
copyDereferenced(sourceNodeModules, targetNodeModules)
|
||||
cpSync(sourceNodeModules, targetNodeModules, { recursive: true })
|
||||
console.log("[afterPack] node_modules copied successfully")
|
||||
} else {
|
||||
console.error("[afterPack] Source or target directory not found!")
|
||||
@@ -82,22 +40,4 @@ module.exports = async (context) => {
|
||||
"Ensure 'npm run electron:prepare' was run before building.",
|
||||
)
|
||||
}
|
||||
|
||||
// Ad-hoc sign macOS apps to fix signature issues with bundled draw.io files
|
||||
if (context.packager.platform.name === "mac") {
|
||||
const appPath = path.join(
|
||||
appOutDir,
|
||||
`${context.packager.appInfo.productFilename}.app`,
|
||||
)
|
||||
console.log(`[afterPack] Ad-hoc signing macOS app: ${appPath}`)
|
||||
try {
|
||||
execSync(`codesign --force --deep --sign - "${appPath}"`, {
|
||||
stdio: "inherit",
|
||||
})
|
||||
console.log("[afterPack] Ad-hoc signing completed successfully")
|
||||
} catch (error) {
|
||||
console.error("[afterPack] Ad-hoc signing failed:", error.message)
|
||||
throw error
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -6,54 +6,13 @@
|
||||
* that electron-builder can properly include
|
||||
*/
|
||||
|
||||
import {
|
||||
copyFileSync,
|
||||
existsSync,
|
||||
lstatSync,
|
||||
mkdirSync,
|
||||
readdirSync,
|
||||
rmSync,
|
||||
statSync,
|
||||
} from "node:fs"
|
||||
import { cpSync, existsSync, mkdirSync, rmSync } from "node:fs"
|
||||
import { join } from "node:path"
|
||||
import { fileURLToPath } from "node:url"
|
||||
|
||||
const __dirname = fileURLToPath(new URL(".", import.meta.url))
|
||||
const rootDir = join(__dirname, "..")
|
||||
|
||||
/**
|
||||
* Copy directory recursively, converting symlinks to regular files/directories.
|
||||
* This is needed because cpSync with dereference:true does NOT convert symlinks.
|
||||
* macOS codesign fails if bundle contains symlinks pointing outside the bundle.
|
||||
*/
|
||||
function copyDereferenced(src, dst) {
|
||||
const lstat = lstatSync(src)
|
||||
|
||||
if (lstat.isSymbolicLink()) {
|
||||
// Follow symlink and check what it points to
|
||||
const stat = statSync(src)
|
||||
if (stat.isDirectory()) {
|
||||
// Symlink to directory: recursively copy the directory contents
|
||||
mkdirSync(dst, { recursive: true })
|
||||
for (const entry of readdirSync(src)) {
|
||||
copyDereferenced(join(src, entry), join(dst, entry))
|
||||
}
|
||||
} else {
|
||||
// Symlink to file: copy the actual file content
|
||||
mkdirSync(join(dst, ".."), { recursive: true })
|
||||
copyFileSync(src, dst)
|
||||
}
|
||||
} else if (lstat.isDirectory()) {
|
||||
mkdirSync(dst, { recursive: true })
|
||||
for (const entry of readdirSync(src)) {
|
||||
copyDereferenced(join(src, entry), join(dst, entry))
|
||||
}
|
||||
} else {
|
||||
mkdirSync(join(dst, ".."), { recursive: true })
|
||||
copyFileSync(src, dst)
|
||||
}
|
||||
}
|
||||
|
||||
const standaloneDir = join(rootDir, ".next", "standalone")
|
||||
const staticDir = join(rootDir, ".next", "static")
|
||||
const targetDir = join(rootDir, "electron-standalone")
|
||||
@@ -71,19 +30,12 @@ mkdirSync(targetDir, { recursive: true })
|
||||
|
||||
// Copy standalone (includes node_modules)
|
||||
console.log("Copying standalone directory...")
|
||||
copyDereferenced(standaloneDir, targetDir)
|
||||
cpSync(standaloneDir, targetDir, { recursive: true })
|
||||
|
||||
// Copy static files
|
||||
console.log("Copying static files...")
|
||||
const targetStaticDir = join(targetDir, ".next", "static")
|
||||
copyDereferenced(staticDir, targetStaticDir)
|
||||
|
||||
// Copy public folder (required for favicon-white.svg and other assets)
|
||||
console.log("Copying public folder...")
|
||||
const publicDir = join(rootDir, "public")
|
||||
const targetPublicDir = join(targetDir, "public")
|
||||
if (existsSync(publicDir)) {
|
||||
copyDereferenced(publicDir, targetPublicDir)
|
||||
}
|
||||
mkdirSync(targetStaticDir, { recursive: true })
|
||||
cpSync(staticDir, targetStaticDir, { recursive: true })
|
||||
|
||||
console.log("Done! Files prepared in electron-standalone/")
|
||||
|
||||
@@ -1,142 +1,5 @@
|
||||
import { afterEach, beforeEach, describe, expect, it, vi } from "vitest"
|
||||
import {
|
||||
getAIModel,
|
||||
resolveBaseURL,
|
||||
supportsImageInput,
|
||||
supportsPromptCaching,
|
||||
} from "@/lib/ai-providers"
|
||||
|
||||
describe("resolveBaseURL", () => {
|
||||
const SERVER_BASE_URL = "https://server-proxy.example.com"
|
||||
const USER_BASE_URL = "https://user-proxy.example.com"
|
||||
const DEFAULT_BASE_URL = "https://api.provider.com/v1"
|
||||
const USER_API_KEY = "user-api-key-123"
|
||||
|
||||
describe("when user provides their own API key", () => {
|
||||
it("uses user's baseUrl when provided", () => {
|
||||
const result = resolveBaseURL(
|
||||
USER_API_KEY,
|
||||
USER_BASE_URL,
|
||||
SERVER_BASE_URL,
|
||||
DEFAULT_BASE_URL,
|
||||
)
|
||||
expect(result).toBe(USER_BASE_URL)
|
||||
})
|
||||
|
||||
it("uses default baseUrl when user provides no baseUrl", () => {
|
||||
const result = resolveBaseURL(
|
||||
USER_API_KEY,
|
||||
null,
|
||||
SERVER_BASE_URL,
|
||||
DEFAULT_BASE_URL,
|
||||
)
|
||||
expect(result).toBe(DEFAULT_BASE_URL)
|
||||
})
|
||||
|
||||
it("returns undefined when user provides no baseUrl and no default exists", () => {
|
||||
const result = resolveBaseURL(
|
||||
USER_API_KEY,
|
||||
null,
|
||||
SERVER_BASE_URL,
|
||||
undefined,
|
||||
)
|
||||
expect(result).toBeUndefined()
|
||||
})
|
||||
|
||||
it("does NOT use server's baseUrl even when available", () => {
|
||||
const result = resolveBaseURL(
|
||||
USER_API_KEY,
|
||||
undefined,
|
||||
SERVER_BASE_URL,
|
||||
undefined,
|
||||
)
|
||||
// Should NOT return SERVER_BASE_URL
|
||||
expect(result).not.toBe(SERVER_BASE_URL)
|
||||
expect(result).toBeUndefined()
|
||||
})
|
||||
|
||||
it("prefers user's baseUrl over default", () => {
|
||||
const result = resolveBaseURL(
|
||||
USER_API_KEY,
|
||||
USER_BASE_URL,
|
||||
SERVER_BASE_URL,
|
||||
DEFAULT_BASE_URL,
|
||||
)
|
||||
expect(result).toBe(USER_BASE_URL)
|
||||
})
|
||||
})
|
||||
|
||||
describe("when using server credentials (no user API key)", () => {
|
||||
it("uses user's baseUrl when provided (overrides server)", () => {
|
||||
const result = resolveBaseURL(
|
||||
null,
|
||||
USER_BASE_URL,
|
||||
SERVER_BASE_URL,
|
||||
DEFAULT_BASE_URL,
|
||||
)
|
||||
expect(result).toBe(USER_BASE_URL)
|
||||
})
|
||||
|
||||
it("falls back to server's baseUrl when no user baseUrl", () => {
|
||||
const result = resolveBaseURL(
|
||||
null,
|
||||
null,
|
||||
SERVER_BASE_URL,
|
||||
DEFAULT_BASE_URL,
|
||||
)
|
||||
expect(result).toBe(SERVER_BASE_URL)
|
||||
})
|
||||
|
||||
it("falls back to default when no user or server baseUrl", () => {
|
||||
const result = resolveBaseURL(
|
||||
null,
|
||||
null,
|
||||
undefined,
|
||||
DEFAULT_BASE_URL,
|
||||
)
|
||||
expect(result).toBe(DEFAULT_BASE_URL)
|
||||
})
|
||||
|
||||
it("returns undefined when no baseUrl available anywhere", () => {
|
||||
const result = resolveBaseURL(null, null, undefined, undefined)
|
||||
expect(result).toBeUndefined()
|
||||
})
|
||||
|
||||
it("handles undefined apiKey same as null", () => {
|
||||
const result = resolveBaseURL(
|
||||
undefined,
|
||||
null,
|
||||
SERVER_BASE_URL,
|
||||
DEFAULT_BASE_URL,
|
||||
)
|
||||
expect(result).toBe(SERVER_BASE_URL)
|
||||
})
|
||||
})
|
||||
|
||||
describe("edge cases", () => {
|
||||
it("handles empty string apiKey as falsy (uses server config)", () => {
|
||||
const result = resolveBaseURL(
|
||||
"",
|
||||
null,
|
||||
SERVER_BASE_URL,
|
||||
DEFAULT_BASE_URL,
|
||||
)
|
||||
// Empty string is falsy, so should use server config
|
||||
expect(result).toBe(SERVER_BASE_URL)
|
||||
})
|
||||
|
||||
it("handles empty string baseUrl as falsy", () => {
|
||||
const result = resolveBaseURL(
|
||||
USER_API_KEY,
|
||||
"",
|
||||
SERVER_BASE_URL,
|
||||
DEFAULT_BASE_URL,
|
||||
)
|
||||
// Empty string baseUrl is falsy, should fall back to default
|
||||
expect(result).toBe(DEFAULT_BASE_URL)
|
||||
})
|
||||
})
|
||||
})
|
||||
import { describe, expect, it } from "vitest"
|
||||
import { supportsImageInput, supportsPromptCaching } from "@/lib/ai-providers"
|
||||
|
||||
describe("supportsPromptCaching", () => {
|
||||
it("returns true for Claude models", () => {
|
||||
@@ -169,11 +32,6 @@ describe("supportsImageInput", () => {
|
||||
expect(supportsImageInput("moonshot/kimi-k2")).toBe(false)
|
||||
})
|
||||
|
||||
it("returns true for Kimi K2.5 models (supports vision)", () => {
|
||||
expect(supportsImageInput("kimi-k2.5")).toBe(true)
|
||||
expect(supportsImageInput("moonshotai/kimi-k2.5")).toBe(true)
|
||||
})
|
||||
|
||||
it("returns false for DeepSeek text models", () => {
|
||||
expect(supportsImageInput("deepseek-chat")).toBe(false)
|
||||
expect(supportsImageInput("deepseek-coder")).toBe(false)
|
||||
@@ -190,120 +48,3 @@ describe("supportsImageInput", () => {
|
||||
expect(supportsImageInput("gemini-pro")).toBe(true)
|
||||
})
|
||||
})
|
||||
|
||||
vi.mock("ollama-ai-provider-v2", () => {
|
||||
const mockModel = { modelId: "test-model" }
|
||||
const mockProviderFn = vi.fn(() => mockModel)
|
||||
const mockCreateOllama = vi.fn(() => mockProviderFn)
|
||||
const mockOllama = vi.fn(() => mockModel)
|
||||
return { createOllama: mockCreateOllama, ollama: mockOllama }
|
||||
})
|
||||
|
||||
describe("Ollama API key security", () => {
|
||||
let createOllamaMock: ReturnType<typeof vi.fn>
|
||||
const savedEnv: Record<string, string | undefined> = {}
|
||||
|
||||
beforeEach(async () => {
|
||||
savedEnv.OLLAMA_API_KEY = process.env.OLLAMA_API_KEY
|
||||
savedEnv.OLLAMA_BASE_URL = process.env.OLLAMA_BASE_URL
|
||||
delete process.env.OLLAMA_BASE_URL
|
||||
|
||||
const mod = await import("ollama-ai-provider-v2")
|
||||
createOllamaMock = mod.createOllama as ReturnType<typeof vi.fn>
|
||||
createOllamaMock.mockClear()
|
||||
})
|
||||
|
||||
afterEach(() => {
|
||||
process.env.OLLAMA_API_KEY = savedEnv.OLLAMA_API_KEY
|
||||
process.env.OLLAMA_BASE_URL = savedEnv.OLLAMA_BASE_URL
|
||||
})
|
||||
|
||||
it("applies server OLLAMA_API_KEY when no client baseUrl is provided", () => {
|
||||
process.env.OLLAMA_API_KEY = "server-secret-key"
|
||||
|
||||
getAIModel({ provider: "ollama", modelId: "llama2" })
|
||||
|
||||
expect(createOllamaMock).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
headers: { Authorization: "Bearer server-secret-key" },
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
it("does NOT leak server OLLAMA_API_KEY when client provides a custom baseUrl", () => {
|
||||
process.env.OLLAMA_API_KEY = "server-secret-key"
|
||||
|
||||
// When server has OLLAMA_API_KEY, the SSRF guard rejects
|
||||
// client-provided baseUrl without an apiKey outright
|
||||
expect(() =>
|
||||
getAIModel({
|
||||
provider: "ollama",
|
||||
baseUrl: "https://evil-server.com",
|
||||
modelId: "llama2",
|
||||
}),
|
||||
).toThrow("API key is required")
|
||||
})
|
||||
|
||||
it("uses client API key when client provides both baseUrl and apiKey", () => {
|
||||
process.env.OLLAMA_API_KEY = "server-secret-key"
|
||||
|
||||
getAIModel({
|
||||
provider: "ollama",
|
||||
baseUrl: "https://my-ollama.com",
|
||||
apiKey: "client-key",
|
||||
modelId: "llama2",
|
||||
})
|
||||
|
||||
expect(createOllamaMock).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
baseURL: "https://my-ollama.com",
|
||||
headers: { Authorization: "Bearer client-key" },
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
it("applies both server OLLAMA_BASE_URL and OLLAMA_API_KEY when no client overrides", () => {
|
||||
process.env.OLLAMA_BASE_URL = "https://cloud.ollama.com"
|
||||
process.env.OLLAMA_API_KEY = "server-key"
|
||||
|
||||
getAIModel({ provider: "ollama", modelId: "llama2" })
|
||||
|
||||
expect(createOllamaMock).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
baseURL: "https://cloud.ollama.com",
|
||||
headers: { Authorization: "Bearer server-key" },
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
it("works when OLLAMA_API_KEY is set but OLLAMA_BASE_URL is not", () => {
|
||||
process.env.OLLAMA_API_KEY = "server-key"
|
||||
delete process.env.OLLAMA_BASE_URL
|
||||
|
||||
getAIModel({ provider: "ollama", modelId: "llama2" })
|
||||
|
||||
expect(createOllamaMock).toHaveBeenCalledTimes(1)
|
||||
const callArgs = createOllamaMock.mock.calls[0][0]
|
||||
expect(callArgs).not.toHaveProperty("baseURL")
|
||||
expect(callArgs).toEqual(
|
||||
expect.objectContaining({
|
||||
headers: { Authorization: "Bearer server-key" },
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
it("allows client custom baseUrl without apiKey when no server OLLAMA_API_KEY", () => {
|
||||
delete process.env.OLLAMA_API_KEY
|
||||
|
||||
getAIModel({
|
||||
provider: "ollama",
|
||||
baseUrl: "https://my-ollama.com",
|
||||
modelId: "llama2",
|
||||
})
|
||||
|
||||
expect(createOllamaMock).toHaveBeenCalledTimes(1)
|
||||
const callArgs = createOllamaMock.mock.calls[0][0]
|
||||
expect(callArgs.baseURL).toBe("https://my-ollama.com")
|
||||
expect(callArgs).not.toHaveProperty("headers")
|
||||
})
|
||||
})
|
||||
|
||||
@@ -1,116 +0,0 @@
|
||||
import { describe, expect, it } from "vitest"
|
||||
import {
|
||||
formatValidationFeedback,
|
||||
type ValidationResult,
|
||||
} from "@/lib/diagram-validator"
|
||||
|
||||
describe("formatValidationFeedback", () => {
|
||||
it("formats result with critical issues", () => {
|
||||
const result: ValidationResult = {
|
||||
valid: false,
|
||||
issues: [
|
||||
{
|
||||
type: "overlap",
|
||||
severity: "critical",
|
||||
description: "Box A overlaps with Box B",
|
||||
},
|
||||
],
|
||||
suggestions: ["Move Box A to the left"],
|
||||
}
|
||||
|
||||
const feedback = formatValidationFeedback(result)
|
||||
|
||||
expect(feedback).toContain("DIAGRAM VISUAL VALIDATION FAILED")
|
||||
expect(feedback).toContain("Critical Issues (must fix):")
|
||||
expect(feedback).toContain("[overlap] Box A overlaps with Box B")
|
||||
expect(feedback).toContain("Suggestions to fix:")
|
||||
expect(feedback).toContain("Move Box A to the left")
|
||||
expect(feedback).toContain(
|
||||
"Please regenerate the diagram with corrected layout",
|
||||
)
|
||||
})
|
||||
|
||||
it("formats result with warnings only", () => {
|
||||
const result: ValidationResult = {
|
||||
valid: true,
|
||||
issues: [
|
||||
{
|
||||
type: "text",
|
||||
severity: "warning",
|
||||
description: "Label text is small",
|
||||
},
|
||||
],
|
||||
suggestions: [],
|
||||
}
|
||||
|
||||
const feedback = formatValidationFeedback(result)
|
||||
|
||||
expect(feedback).toContain("Warnings:")
|
||||
expect(feedback).toContain("[text] Label text is small")
|
||||
expect(feedback).not.toContain("Critical Issues")
|
||||
})
|
||||
|
||||
it("formats result with both critical issues and warnings", () => {
|
||||
const result: ValidationResult = {
|
||||
valid: false,
|
||||
issues: [
|
||||
{
|
||||
type: "edge_routing",
|
||||
severity: "critical",
|
||||
description: "Edge crosses through node",
|
||||
},
|
||||
{
|
||||
type: "layout",
|
||||
severity: "warning",
|
||||
description: "Uneven spacing",
|
||||
},
|
||||
],
|
||||
suggestions: ["Reroute the edge", "Adjust spacing"],
|
||||
}
|
||||
|
||||
const feedback = formatValidationFeedback(result)
|
||||
|
||||
expect(feedback).toContain("Critical Issues (must fix):")
|
||||
expect(feedback).toContain("[edge_routing] Edge crosses through node")
|
||||
expect(feedback).toContain("Warnings:")
|
||||
expect(feedback).toContain("[layout] Uneven spacing")
|
||||
expect(feedback).toContain("Reroute the edge")
|
||||
expect(feedback).toContain("Adjust spacing")
|
||||
})
|
||||
|
||||
it("returns empty string for valid result with no issues", () => {
|
||||
const result: ValidationResult = {
|
||||
valid: true,
|
||||
issues: [],
|
||||
suggestions: [],
|
||||
}
|
||||
|
||||
const feedback = formatValidationFeedback(result)
|
||||
|
||||
expect(feedback).toBe("")
|
||||
})
|
||||
|
||||
it("formats result with multiple suggestions", () => {
|
||||
const result: ValidationResult = {
|
||||
valid: false,
|
||||
issues: [
|
||||
{
|
||||
type: "rendering",
|
||||
severity: "critical",
|
||||
description: "Missing element",
|
||||
},
|
||||
],
|
||||
suggestions: [
|
||||
"Check the XML syntax",
|
||||
"Ensure all elements are defined",
|
||||
"Verify parent-child relationships",
|
||||
],
|
||||
}
|
||||
|
||||
const feedback = formatValidationFeedback(result)
|
||||
|
||||
expect(feedback).toContain("Check the XML syntax")
|
||||
expect(feedback).toContain("Ensure all elements are defined")
|
||||
expect(feedback).toContain("Verify parent-child relationships")
|
||||
})
|
||||
})
|
||||
@@ -1,171 +0,0 @@
|
||||
import { afterEach, describe, expect, it } from "vitest"
|
||||
import {
|
||||
loadFlattenedServerModels,
|
||||
type ServerModelsConfig,
|
||||
ServerModelsConfigSchema,
|
||||
} from "@/lib/server-model-config"
|
||||
|
||||
const ORIGINAL_ENV = { ...process.env }
|
||||
|
||||
afterEach(() => {
|
||||
process.env.AI_PROVIDER = ORIGINAL_ENV.AI_PROVIDER
|
||||
process.env.AI_MODEL = ORIGINAL_ENV.AI_MODEL
|
||||
process.env.AI_MODELS_CONFIG_PATH = ORIGINAL_ENV.AI_MODELS_CONFIG_PATH
|
||||
process.env.AI_MODELS_CONFIG = ORIGINAL_ENV.AI_MODELS_CONFIG
|
||||
})
|
||||
|
||||
describe("ServerModelsConfigSchema", () => {
|
||||
it("accepts valid provider names", () => {
|
||||
const config: ServerModelsConfig = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI Server",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
expect(() => ServerModelsConfigSchema.parse(config)).not.toThrow()
|
||||
})
|
||||
|
||||
it("rejects invalid provider names", () => {
|
||||
const invalidConfig = {
|
||||
providers: [
|
||||
{
|
||||
name: "Invalid Provider",
|
||||
// Cast to any so we can verify runtime validation, not TypeScript
|
||||
provider: "invalid-provider" as any,
|
||||
models: ["model-1"],
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
expect(() =>
|
||||
ServerModelsConfigSchema.parse(invalidConfig as any),
|
||||
).toThrow()
|
||||
})
|
||||
|
||||
it("accepts apiKeyEnv as single string", () => {
|
||||
const config: ServerModelsConfig = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI Server",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
apiKeyEnv: "OPENAI_API_KEY_TEAM_A",
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
const parsed = ServerModelsConfigSchema.parse(config)
|
||||
expect(parsed.providers[0].apiKeyEnv).toBe("OPENAI_API_KEY_TEAM_A")
|
||||
})
|
||||
|
||||
it("accepts apiKeyEnv as array of strings for load balancing", () => {
|
||||
const config: ServerModelsConfig = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI Server",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
apiKeyEnv: ["OPENAI_KEY_1", "OPENAI_KEY_2", "OPENAI_KEY_3"],
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
const parsed = ServerModelsConfigSchema.parse(config)
|
||||
expect(parsed.providers[0].apiKeyEnv).toEqual([
|
||||
"OPENAI_KEY_1",
|
||||
"OPENAI_KEY_2",
|
||||
"OPENAI_KEY_3",
|
||||
])
|
||||
})
|
||||
|
||||
it("rejects empty array for apiKeyEnv", () => {
|
||||
const config = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI Server",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
apiKeyEnv: [],
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
expect(() => ServerModelsConfigSchema.parse(config)).toThrow()
|
||||
})
|
||||
|
||||
it("rejects empty string in apiKeyEnv array", () => {
|
||||
const config = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI Server",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
apiKeyEnv: ["VALID_KEY", ""],
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
expect(() => ServerModelsConfigSchema.parse(config)).toThrow()
|
||||
})
|
||||
})
|
||||
|
||||
describe("loadFlattenedServerModels", () => {
|
||||
it("returns empty array when config file is missing", async () => {
|
||||
// Point to a non-existent config path so fs.readFile throws ENOENT
|
||||
process.env.AI_MODELS_CONFIG_PATH = `non-existent-config-${Date.now()}.json`
|
||||
|
||||
const models = await loadFlattenedServerModels()
|
||||
expect(models).toEqual([])
|
||||
})
|
||||
|
||||
it("flattens providers and marks default model from env var config", async () => {
|
||||
// Use AI_MODELS_CONFIG env var instead of file
|
||||
const config: ServerModelsConfig = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI Server",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o", "gpt-4o-mini"],
|
||||
default: true,
|
||||
},
|
||||
],
|
||||
}
|
||||
process.env.AI_MODELS_CONFIG = JSON.stringify(config)
|
||||
process.env.AI_MODELS_CONFIG_PATH = "" // Clear file path
|
||||
|
||||
const models = await loadFlattenedServerModels()
|
||||
|
||||
expect(models.length).toBe(2)
|
||||
|
||||
const defaults = models.filter((m) => m.isDefault)
|
||||
expect(defaults.length).toBe(1)
|
||||
|
||||
const defaultModel = defaults[0]
|
||||
expect(defaultModel.provider).toBe("openai")
|
||||
expect(defaultModel.modelId).toBe("gpt-4o") // First model of default provider
|
||||
})
|
||||
|
||||
it("preserves apiKeyEnv array in flattened models for load balancing", async () => {
|
||||
const config: ServerModelsConfig = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI LoadBalanced",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
apiKeyEnv: ["OPENAI_KEY_1", "OPENAI_KEY_2"],
|
||||
},
|
||||
],
|
||||
}
|
||||
process.env.AI_MODELS_CONFIG = JSON.stringify(config)
|
||||
process.env.AI_MODELS_CONFIG_PATH = "" // Clear file path
|
||||
|
||||
const models = await loadFlattenedServerModels()
|
||||
|
||||
expect(models.length).toBe(1)
|
||||
expect(models[0].apiKeyEnv).toEqual(["OPENAI_KEY_1", "OPENAI_KEY_2"])
|
||||
})
|
||||
})
|
||||
@@ -30,11 +30,5 @@
|
||||
".next/types/**/*.ts",
|
||||
".next/dev/types/**/*.ts"
|
||||
],
|
||||
"exclude": [
|
||||
"node_modules",
|
||||
"packages",
|
||||
"electron",
|
||||
"electron-standalone",
|
||||
"dist-electron"
|
||||
]
|
||||
"exclude": ["node_modules", "packages", "electron", "dist-electron"]
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user