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33
.github/CONTRIBUTING.md
vendored
33
.github/CONTRIBUTING.md
vendored
@@ -20,15 +20,42 @@ npm run lint # Check lint errors
|
||||
npm run check # Run all checks (CI)
|
||||
```
|
||||
|
||||
Pre-commit hooks via Husky will run Biome automatically on staged files.
|
||||
Git hooks via Husky run automatically:
|
||||
- **Pre-commit**: Biome (format/lint) + TypeScript type check
|
||||
- **Pre-push**: Unit tests
|
||||
|
||||
For a better experience, install the [Biome VS Code extension](https://marketplace.visualstudio.com/items?itemName=biomejs.biome) for real-time linting and format-on-save.
|
||||
|
||||
## Testing
|
||||
|
||||
Run tests before submitting PRs:
|
||||
|
||||
```bash
|
||||
npm run test # Unit tests (Vitest)
|
||||
npm run test:e2e # E2E tests (Playwright)
|
||||
```
|
||||
|
||||
E2E tests use mocked API responses - no AI provider needed. Tests are in `tests/e2e/`.
|
||||
|
||||
To run a specific test file:
|
||||
```bash
|
||||
npx playwright test tests/e2e/diagram-generation.spec.ts
|
||||
```
|
||||
|
||||
To run tests with UI mode:
|
||||
```bash
|
||||
npx playwright test --ui
|
||||
```
|
||||
|
||||
## Pull Requests
|
||||
|
||||
1. Create a feature branch
|
||||
2. Make changes and ensure `npm run check` passes
|
||||
3. Submit PR against `main` with a clear description
|
||||
2. Make changes (pre-commit runs lint + type check automatically)
|
||||
3. Run E2E tests with `npm run test:e2e`
|
||||
4. Push (pre-push runs unit tests automatically)
|
||||
5. Submit PR against `main` with a clear description
|
||||
|
||||
CI will run the full test suite on your PR.
|
||||
|
||||
## Issues
|
||||
|
||||
|
||||
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 saturday"],
|
||||
"schedule": ["after 10am on the first day of the month"],
|
||||
"timezone": "Asia/Tokyo",
|
||||
"packageRules": [
|
||||
{
|
||||
@@ -13,6 +13,7 @@
|
||||
{
|
||||
"matchUpdateTypes": ["major"],
|
||||
"matchPackagePatterns": ["*"],
|
||||
"groupName": "major dependencies",
|
||||
"automerge": false
|
||||
},
|
||||
{
|
||||
|
||||
79
.github/workflows/electron-release.yml
vendored
79
.github/workflows/electron-release.yml
vendored
@@ -11,7 +11,8 @@ on:
|
||||
required: false
|
||||
|
||||
jobs:
|
||||
build:
|
||||
# Mac and Linux: Build and publish directly (no signing needed)
|
||||
build-mac-linux:
|
||||
permissions:
|
||||
contents: write
|
||||
strategy:
|
||||
@@ -20,13 +21,9 @@ jobs:
|
||||
include:
|
||||
- os: macos-latest
|
||||
platform: mac
|
||||
- os: windows-latest
|
||||
platform: win
|
||||
- os: ubuntu-latest
|
||||
platform: linux
|
||||
|
||||
runs-on: ${{ matrix.os }}
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v6
|
||||
@@ -37,10 +34,80 @@ jobs:
|
||||
node-version: 24
|
||||
cache: "npm"
|
||||
|
||||
- name: Download draw.io static files for offline use
|
||||
run: |
|
||||
rm -rf public/drawio
|
||||
git clone --depth 1 --branch v29.3.5 https://github.com/jgraph/drawio.git /tmp/drawio
|
||||
mkdir -p public/drawio
|
||||
cp -r /tmp/drawio/src/main/webapp/* public/drawio/
|
||||
rm -rf public/drawio/WEB-INF
|
||||
rm -rf public/drawio/META-INF
|
||||
|
||||
- name: Install dependencies
|
||||
run: npm install
|
||||
|
||||
- name: Build and publish Electron app
|
||||
- name: Build and publish
|
||||
run: npm run dist:${{ 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: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
75
.github/workflows/test.yml
vendored
Normal file
75
.github/workflows/test.yml
vendored
Normal file
@@ -0,0 +1,75 @@
|
||||
name: Test
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
branches: [main]
|
||||
push:
|
||||
branches: [main]
|
||||
|
||||
jobs:
|
||||
lint-and-unit:
|
||||
name: Lint & Unit Tests
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v6
|
||||
|
||||
- name: Setup Node.js
|
||||
uses: actions/setup-node@v6
|
||||
with:
|
||||
node-version: "20"
|
||||
cache: "npm"
|
||||
|
||||
- name: Install dependencies
|
||||
run: npm ci
|
||||
|
||||
- name: Run lint
|
||||
run: npm run check
|
||||
|
||||
- name: Run unit tests
|
||||
run: npm run test -- --run
|
||||
|
||||
e2e:
|
||||
name: E2E Tests
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v6
|
||||
|
||||
- name: Setup Node.js
|
||||
uses: actions/setup-node@v6
|
||||
with:
|
||||
node-version: "20"
|
||||
cache: "npm"
|
||||
|
||||
- name: Install dependencies
|
||||
run: npm ci
|
||||
|
||||
- name: Cache Playwright browsers
|
||||
uses: actions/cache@v5
|
||||
id: playwright-cache
|
||||
with:
|
||||
path: ~/.cache/ms-playwright
|
||||
key: playwright-${{ runner.os }}-${{ hashFiles('**/package-lock.json') }}
|
||||
|
||||
- name: Install Playwright browsers
|
||||
if: steps.playwright-cache.outputs.cache-hit != 'true'
|
||||
run: npx playwright install chromium --with-deps
|
||||
|
||||
- name: Install Playwright deps (cached)
|
||||
if: steps.playwright-cache.outputs.cache-hit == 'true'
|
||||
run: npx playwright install-deps chromium
|
||||
|
||||
- name: Build app
|
||||
run: npm run build
|
||||
|
||||
- name: Run E2E tests
|
||||
run: npm run test:e2e
|
||||
env:
|
||||
CI: true
|
||||
|
||||
- name: Upload test results
|
||||
uses: actions/upload-artifact@v6
|
||||
if: always()
|
||||
with:
|
||||
name: playwright-report
|
||||
path: playwright-report/
|
||||
retention-days: 7
|
||||
8
.gitignore
vendored
8
.gitignore
vendored
@@ -14,6 +14,8 @@ packages/*/dist
|
||||
|
||||
# testing
|
||||
/coverage
|
||||
/playwright-report/
|
||||
/test-results/
|
||||
|
||||
# next.js
|
||||
/.next/
|
||||
@@ -54,6 +56,8 @@ push-via-ec2.sh
|
||||
/dist-electron/
|
||||
/release/
|
||||
/electron-standalone/
|
||||
# Draw.io static files (downloaded during CI build)
|
||||
public/drawio/
|
||||
*.dmg
|
||||
*.exe
|
||||
*.AppImage
|
||||
@@ -65,4 +69,6 @@ CLAUDE.md
|
||||
.spec-workflow
|
||||
|
||||
# edgeone
|
||||
.edgeone
|
||||
.edgeone
|
||||
opencode.json
|
||||
ai-models.json
|
||||
|
||||
@@ -1 +1,2 @@
|
||||
npx lint-staged
|
||||
npx tsc --noEmit
|
||||
|
||||
4
.husky/pre-push
Normal file
4
.husky/pre-push
Normal file
@@ -0,0 +1,4 @@
|
||||
# Skip if node_modules not installed (e.g., on EC2 push server)
|
||||
if [ -d "node_modules" ]; then
|
||||
npm run test -- --run
|
||||
fi
|
||||
@@ -30,6 +30,10 @@ ENV NEXT_PUBLIC_DRAWIO_BASE_URL=${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
|
||||
|
||||
|
||||
15
README.md
15
README.md
@@ -40,11 +40,12 @@ 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 (Recommended)](#deploy-on-vercel-recommended)
|
||||
- [Deploy on Vercel](#deploy-on-vercel)
|
||||
- [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
|
||||
@@ -185,7 +186,7 @@ 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 (Recommended)
|
||||
### Deploy on Vercel
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
@@ -206,11 +207,13 @@ See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-
|
||||
- OpenAI
|
||||
- Anthropic
|
||||
- Google AI
|
||||
- Google Vertex AI
|
||||
- Azure OpenAI
|
||||
- Ollama
|
||||
- OpenRouter
|
||||
- DeepSeek
|
||||
- SiliconFlow
|
||||
- ModelScope
|
||||
- SGLang
|
||||
- Vercel AI Gateway
|
||||
|
||||
@@ -219,6 +222,10 @@ 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.
|
||||
@@ -245,6 +252,10 @@ 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",
|
||||
@@ -10,18 +10,7 @@ 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 */}
|
||||
@@ -108,42 +97,6 @@ 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">
|
||||
@@ -339,11 +292,13 @@ 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>{" "}
|
||||
|
||||
@@ -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",
|
||||
@@ -17,18 +17,7 @@ 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 */}
|
||||
@@ -116,42 +105,6 @@ 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">
|
||||
@@ -354,11 +307,13 @@ 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>
|
||||
|
||||
@@ -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",
|
||||
@@ -17,18 +17,7 @@ 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 */}
|
||||
@@ -118,42 +107,6 @@ 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">
|
||||
@@ -373,11 +326,13 @@ 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
|
||||
|
||||
@@ -41,19 +41,24 @@ 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 } ? rawLang : "en") as Locale
|
||||
const lang = (
|
||||
rawLang in { en: 1, zh: 1, ja: 1, "zh-Hant": 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 {
|
||||
@@ -80,7 +85,14 @@ export async function generateMetadata({
|
||||
type: "website",
|
||||
url: "https://next-ai-drawio.jiang.jp",
|
||||
siteName: "Next AI Draw.io",
|
||||
locale: lang === "zh" ? "zh_CN" : lang === "ja" ? "ja_JP" : "en_US",
|
||||
locale:
|
||||
lang === "zh"
|
||||
? "zh_CN"
|
||||
: lang === "zh-Hant"
|
||||
? "zh_HK"
|
||||
: lang === "ja"
|
||||
? "ja_JP"
|
||||
: "en_US",
|
||||
images: [
|
||||
{
|
||||
url: "/architecture.png",
|
||||
@@ -115,6 +127,7 @@ export async function generateMetadata({
|
||||
en: "/en",
|
||||
zh: "/zh",
|
||||
ja: "/ja",
|
||||
"zh-Hant": "/zh-Hant",
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
@@ -4,7 +4,6 @@ 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,
|
||||
@@ -13,9 +12,6 @@ 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()
|
||||
@@ -29,7 +25,10 @@ export default function Home() {
|
||||
const [darkMode, setDarkMode] = useState(false)
|
||||
const [isLoaded, setIsLoaded] = useState(false)
|
||||
const [isDrawioReady, setIsDrawioReady] = useState(false)
|
||||
const [closeProtection, setCloseProtection] = useState(false)
|
||||
const [isElectron, setIsElectron] = useState(false)
|
||||
const [drawioBaseUrl, setDrawioBaseUrl] = useState(
|
||||
process.env.NEXT_PUBLIC_DRAWIO_BASE_URL || "https://embed.diagrams.net",
|
||||
)
|
||||
|
||||
const chatPanelRef = useRef<ImperativePanelHandle>(null)
|
||||
const isMobileRef = useRef(false)
|
||||
@@ -66,11 +65,15 @@ export default function Home() {
|
||||
document.documentElement.classList.toggle("dark", prefersDark)
|
||||
}
|
||||
|
||||
const savedCloseProtection = localStorage.getItem(
|
||||
STORAGE_CLOSE_PROTECTION_KEY,
|
||||
)
|
||||
if (savedCloseProtection === "true") {
|
||||
setCloseProtection(true)
|
||||
// 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`)
|
||||
}
|
||||
|
||||
setIsLoaded(true)
|
||||
@@ -146,20 +149,6 @@ 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
|
||||
@@ -183,7 +172,7 @@ export default function Home() {
|
||||
className={`h-full w-full ${isDrawioReady ? "" : "invisible absolute inset-0"}`}
|
||||
>
|
||||
<DrawIoEmbed
|
||||
key={`${drawioUi}-${darkMode}-${currentLang}`}
|
||||
key={`${drawioUi}-${darkMode}-${currentLang}-${isElectron}`}
|
||||
ref={drawioRef}
|
||||
onExport={handleDiagramExport}
|
||||
onLoad={handleDrawioLoad}
|
||||
@@ -197,6 +186,10 @@ export default function Home() {
|
||||
noExitBtn: true,
|
||||
dark: darkMode,
|
||||
lang: currentLang,
|
||||
// Enable offline mode in Electron to disable external service calls
|
||||
...(isElectron && {
|
||||
offline: true,
|
||||
}),
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
@@ -243,7 +236,6 @@ export default function Home() {
|
||||
darkMode={darkMode}
|
||||
onToggleDarkMode={handleDarkModeChange}
|
||||
isMobile={isMobile}
|
||||
onCloseProtectionChange={setCloseProtection}
|
||||
/>
|
||||
</Suspense>
|
||||
</div>
|
||||
|
||||
@@ -18,6 +18,11 @@ import {
|
||||
supportsPromptCaching,
|
||||
} from "@/lib/ai-providers"
|
||||
import { findCachedResponse } from "@/lib/cached-responses"
|
||||
import {
|
||||
isMinimalDiagram,
|
||||
replaceHistoricalToolInputs,
|
||||
validateFileParts,
|
||||
} from "@/lib/chat-helpers"
|
||||
import {
|
||||
checkAndIncrementRequest,
|
||||
isQuotaEnabled,
|
||||
@@ -29,98 +34,12 @@ import {
|
||||
setTraceOutput,
|
||||
wrapWithObserve,
|
||||
} from "@/lib/langfuse"
|
||||
import { findServerModelById } from "@/lib/server-model-config"
|
||||
import { getSystemPrompt } from "@/lib/system-prompts"
|
||||
import { getUserIdFromRequest } from "@/lib/user-id"
|
||||
|
||||
export const maxDuration = 120
|
||||
|
||||
// File upload limits (must match client-side)
|
||||
const MAX_FILE_SIZE = 2 * 1024 * 1024 // 2MB
|
||||
const MAX_FILES = 5
|
||||
|
||||
// Helper function to validate file parts in messages
|
||||
function validateFileParts(messages: any[]): {
|
||||
valid: boolean
|
||||
error?: string
|
||||
} {
|
||||
const lastMessage = messages[messages.length - 1]
|
||||
const fileParts =
|
||||
lastMessage?.parts?.filter((p: any) => p.type === "file") || []
|
||||
|
||||
if (fileParts.length > MAX_FILES) {
|
||||
return {
|
||||
valid: false,
|
||||
error: `Too many files. Maximum ${MAX_FILES} allowed.`,
|
||||
}
|
||||
}
|
||||
|
||||
for (const filePart of fileParts) {
|
||||
// Data URLs format: data:image/png;base64,<data>
|
||||
// Base64 increases size by ~33%, so we check the decoded size
|
||||
if (filePart.url?.startsWith("data:")) {
|
||||
const base64Data = filePart.url.split(",")[1]
|
||||
if (base64Data) {
|
||||
const sizeInBytes = Math.ceil((base64Data.length * 3) / 4)
|
||||
if (sizeInBytes > MAX_FILE_SIZE) {
|
||||
return {
|
||||
valid: false,
|
||||
error: `File exceeds ${MAX_FILE_SIZE / 1024 / 1024}MB limit.`,
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return { valid: true }
|
||||
}
|
||||
|
||||
// Helper function to check if diagram is minimal/empty
|
||||
function isMinimalDiagram(xml: string): boolean {
|
||||
const stripped = xml.replace(/\s/g, "")
|
||||
return !stripped.includes('id="2"')
|
||||
}
|
||||
|
||||
// Helper function to replace historical tool call XML with placeholders
|
||||
// This reduces token usage and forces LLM to rely on the current diagram XML (source of truth)
|
||||
// Also fixes invalid/undefined inputs from interrupted streaming
|
||||
function replaceHistoricalToolInputs(messages: any[]): any[] {
|
||||
return messages.map((msg) => {
|
||||
if (msg.role !== "assistant" || !Array.isArray(msg.content)) {
|
||||
return msg
|
||||
}
|
||||
const replacedContent = msg.content
|
||||
.map((part: any) => {
|
||||
if (part.type === "tool-call") {
|
||||
const toolName = part.toolName
|
||||
// Fix invalid/undefined inputs from interrupted streaming
|
||||
if (
|
||||
!part.input ||
|
||||
typeof part.input !== "object" ||
|
||||
Object.keys(part.input).length === 0
|
||||
) {
|
||||
// Skip tool calls with invalid inputs entirely
|
||||
return null
|
||||
}
|
||||
if (
|
||||
toolName === "display_diagram" ||
|
||||
toolName === "edit_diagram"
|
||||
) {
|
||||
return {
|
||||
...part,
|
||||
input: {
|
||||
placeholder:
|
||||
"[XML content replaced - see current diagram XML in system context]",
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
return part
|
||||
})
|
||||
.filter(Boolean) // Remove null entries (invalid tool calls)
|
||||
return { ...msg, content: replacedContent }
|
||||
})
|
||||
}
|
||||
|
||||
// Helper function to create cached stream response
|
||||
function createCachedStreamResponse(xml: string): Response {
|
||||
const toolCallId = `cached-${Date.now()}`
|
||||
@@ -199,7 +118,10 @@ 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-ai-provider") &&
|
||||
(req.headers.get("x-ai-api-key") ||
|
||||
req.headers.get("x-aws-access-key-id") ||
|
||||
req.headers.get("x-vertex-api-key"))
|
||||
)
|
||||
|
||||
// Skip quota check if: quota disabled, user has own API key, or is anonymous
|
||||
@@ -250,6 +172,7 @@ 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
|
||||
@@ -261,8 +184,30 @@ 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
|
||||
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 = {
|
||||
provider,
|
||||
// Server model provider takes precedence over client header
|
||||
provider: serverModelConfig.provider || provider,
|
||||
baseUrl,
|
||||
apiKey: req.headers.get("x-ai-api-key"),
|
||||
modelId: req.headers.get("x-ai-model"),
|
||||
@@ -271,6 +216,10 @@ 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 && {
|
||||
@@ -281,6 +230,10 @@ 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)
|
||||
@@ -523,6 +476,13 @@ ${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)
|
||||
|
||||
104
app/api/parse-url/route.ts
Normal file
104
app/api/parse-url/route.ts
Normal file
@@ -0,0 +1,104 @@
|
||||
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
|
||||
|
||||
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 },
|
||||
)
|
||||
}
|
||||
|
||||
// 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": "Mozilla/5.0 (compatible; NextAIDrawio/1.0)",
|
||||
},
|
||||
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 },
|
||||
)
|
||||
}
|
||||
}
|
||||
14
app/api/server-models/route.ts
Normal file
14
app/api/server-models/route.ts
Normal file
@@ -0,0 +1,14 @@
|
||||
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,
|
||||
})
|
||||
}
|
||||
136
app/api/validate-diagram/route.ts
Normal file
136
app/api/validate-diagram/route.ts
Normal file
@@ -0,0 +1,136 @@
|
||||
/**
|
||||
* 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)
|
||||
}
|
||||
}
|
||||
@@ -3,74 +3,16 @@ 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
|
||||
@@ -80,6 +22,8 @@ interface ValidateRequest {
|
||||
awsAccessKeyId?: string
|
||||
awsSecretAccessKey?: string
|
||||
awsRegion?: string
|
||||
// Vertex AI specific
|
||||
vertexApiKey?: string // Express Mode API key
|
||||
}
|
||||
|
||||
export async function POST(req: Request) {
|
||||
@@ -93,6 +37,8 @@ export async function POST(req: Request) {
|
||||
awsAccessKeyId,
|
||||
awsSecretAccessKey,
|
||||
awsRegion,
|
||||
// Note: Express Mode only needs vertexApiKey
|
||||
vertexApiKey,
|
||||
} = body
|
||||
|
||||
if (!provider || !modelId) {
|
||||
@@ -103,7 +49,7 @@ export async function POST(req: Request) {
|
||||
}
|
||||
|
||||
// SECURITY: Block SSRF attacks via custom baseUrl
|
||||
if (baseUrl && isPrivateUrl(baseUrl)) {
|
||||
if (baseUrl && !allowPrivateUrls && isPrivateUrl(baseUrl)) {
|
||||
return NextResponse.json(
|
||||
{ valid: false, error: "Invalid base URL" },
|
||||
{ status: 400 },
|
||||
@@ -121,6 +67,16 @@ 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" },
|
||||
@@ -158,6 +114,15 @@ 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,
|
||||
@@ -202,7 +167,7 @@ export async function POST(req: Request) {
|
||||
case "siliconflow": {
|
||||
const sf = createOpenAI({
|
||||
apiKey,
|
||||
baseURL: baseUrl || "https://api.siliconflow.com/v1",
|
||||
baseURL: baseUrl || "https://api.siliconflow.cn/v1",
|
||||
})
|
||||
model = sf.chat(modelId)
|
||||
break
|
||||
@@ -251,16 +216,98 @@ export async function POST(req: Request) {
|
||||
}
|
||||
|
||||
case "doubao": {
|
||||
// ByteDance Doubao uses DeepSeek-compatible API
|
||||
const doubao = createDeepSeek({
|
||||
apiKey,
|
||||
baseURL:
|
||||
baseUrl || "https://ark.cn-beijing.volces.com/api/v3",
|
||||
})
|
||||
model = doubao(modelId)
|
||||
// ByteDance Doubao: use DeepSeek for DeepSeek/Kimi models, OpenAI for others
|
||||
const doubaoBaseUrl =
|
||||
baseUrl || "https://ark.cn-beijing.volces.com/api/v3"
|
||||
const lowerModelId = modelId.toLowerCase()
|
||||
if (
|
||||
lowerModelId.includes("deepseek") ||
|
||||
lowerModelId.includes("kimi")
|
||||
) {
|
||||
const doubao = createDeepSeek({
|
||||
apiKey,
|
||||
baseURL: doubaoBaseUrl,
|
||||
})
|
||||
model = doubao(modelId)
|
||||
} else {
|
||||
const doubao = createOpenAI({
|
||||
apiKey,
|
||||
baseURL: doubaoBaseUrl,
|
||||
})
|
||||
model = doubao.chat(modelId)
|
||||
}
|
||||
break
|
||||
}
|
||||
|
||||
case "modelscope": {
|
||||
const baseURL =
|
||||
baseUrl || "https://api-inference.modelscope.cn/v1"
|
||||
const startTime = Date.now()
|
||||
|
||||
try {
|
||||
// Initiate a streaming request (required for QwQ-32B and certain Qwen3 models)
|
||||
const response = await fetch(
|
||||
`${baseURL}/chat/completions`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: modelId,
|
||||
messages: [
|
||||
{ role: "user", content: "Say 'OK'" },
|
||||
],
|
||||
max_tokens: 20,
|
||||
stream: true,
|
||||
enable_thinking: false,
|
||||
}),
|
||||
},
|
||||
)
|
||||
|
||||
if (!response.ok) {
|
||||
const errorText = await response.text()
|
||||
throw new Error(
|
||||
`ModelScope API error (${response.status}): ${errorText}`,
|
||||
)
|
||||
}
|
||||
|
||||
const contentType =
|
||||
response.headers.get("content-type") || ""
|
||||
const isValidStreamingResponse =
|
||||
response.status === 200 &&
|
||||
(contentType.includes("text/event-stream") ||
|
||||
contentType.includes("application/json"))
|
||||
|
||||
if (!isValidStreamingResponse) {
|
||||
throw new Error(
|
||||
`Unexpected response format: ${contentType}`,
|
||||
)
|
||||
}
|
||||
|
||||
const responseTime = Date.now() - startTime
|
||||
|
||||
if (response.body) {
|
||||
response.body.cancel().catch(() => {
|
||||
/* Ignore cancellation errors */
|
||||
})
|
||||
}
|
||||
|
||||
return NextResponse.json({
|
||||
valid: true,
|
||||
responseTime,
|
||||
note: "ModelScope model validated (using streaming API)",
|
||||
})
|
||||
} catch (error) {
|
||||
console.error(
|
||||
"[validate-model] ModelScope validation failed:",
|
||||
error,
|
||||
)
|
||||
throw error
|
||||
}
|
||||
}
|
||||
|
||||
default:
|
||||
return NextResponse.json(
|
||||
{ valid: false, error: `Unknown provider: ${provider}` },
|
||||
|
||||
@@ -244,6 +244,19 @@
|
||||
.scrollbar-thin::-webkit-scrollbar-thumb:hover {
|
||||
background-color: oklch(0.75 0.01 260);
|
||||
}
|
||||
|
||||
/* Dark mode scrollbar */
|
||||
.dark .scrollbar-thin {
|
||||
scrollbar-color: oklch(0.35 0.015 260) transparent;
|
||||
}
|
||||
|
||||
.dark .scrollbar-thin::-webkit-scrollbar-thumb {
|
||||
background-color: oklch(0.35 0.015 260);
|
||||
}
|
||||
|
||||
.dark .scrollbar-thin::-webkit-scrollbar-thumb:hover {
|
||||
background-color: oklch(0.45 0.015 260);
|
||||
}
|
||||
}
|
||||
|
||||
/* Smooth page transitions */
|
||||
|
||||
@@ -134,6 +134,7 @@ export const ModelSelectorLogo = ({
|
||||
}
|
||||
|
||||
return (
|
||||
// biome-ignore lint/performance/noImgElement: External URL from models.dev
|
||||
<img
|
||||
{...props}
|
||||
alt={`${provider} logo`}
|
||||
@@ -168,3 +169,27 @@ 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>
|
||||
)
|
||||
|
||||
@@ -4,11 +4,19 @@ import {
|
||||
Download,
|
||||
History,
|
||||
Image as ImageIcon,
|
||||
Link,
|
||||
Loader2,
|
||||
Send,
|
||||
} from "lucide-react"
|
||||
import type React from "react"
|
||||
import { useCallback, useEffect, useRef, useState } from "react"
|
||||
import {
|
||||
forwardRef,
|
||||
useCallback,
|
||||
useEffect,
|
||||
useImperativeHandle,
|
||||
useRef,
|
||||
useState,
|
||||
} from "react"
|
||||
import { toast } from "sonner"
|
||||
import { ButtonWithTooltip } from "@/components/button-with-tooltip"
|
||||
import { ErrorToast } from "@/components/error-toast"
|
||||
@@ -18,11 +26,15 @@ 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
|
||||
@@ -133,6 +145,10 @@ function showValidationErrors(errors: string[], dict: any) {
|
||||
}
|
||||
}
|
||||
|
||||
export interface ChatInputRef {
|
||||
focus: () => void
|
||||
}
|
||||
|
||||
interface ChatInputProps {
|
||||
input: string
|
||||
status: "submitted" | "streaming" | "ready" | "error"
|
||||
@@ -144,6 +160,8 @@ interface ChatInputProps {
|
||||
File,
|
||||
{ text: string; charCount: number; isExtracting: boolean }
|
||||
>
|
||||
urlData?: Map<string, UrlData>
|
||||
onUrlChange?: (data: Map<string, UrlData>) => void
|
||||
|
||||
sessionId?: string
|
||||
error?: Error | null
|
||||
@@ -152,93 +170,216 @@ interface ChatInputProps {
|
||||
selectedModelId?: string
|
||||
onModelSelect?: (modelId: string | undefined) => void
|
||||
showUnvalidatedModels?: boolean
|
||||
onConfigureModels?: () => void
|
||||
// Focus control props
|
||||
shouldFocus?: boolean
|
||||
onFocused?: () => void
|
||||
}
|
||||
|
||||
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()
|
||||
export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
|
||||
function ChatInput(
|
||||
{
|
||||
input,
|
||||
status,
|
||||
onSubmit,
|
||||
onChange,
|
||||
files = [],
|
||||
onFileChange = () => {},
|
||||
pdfData = new Map(),
|
||||
urlData,
|
||||
onUrlChange,
|
||||
sessionId,
|
||||
error = null,
|
||||
models = [],
|
||||
selectedModelId,
|
||||
onModelSelect = () => {},
|
||||
showUnvalidatedModels = false,
|
||||
shouldFocus = false,
|
||||
onFocused,
|
||||
},
|
||||
ref,
|
||||
) {
|
||||
const dict = useDictionary()
|
||||
const {
|
||||
chartXML,
|
||||
diagramHistory,
|
||||
saveDiagramToFile,
|
||||
showSaveDialog,
|
||||
setShowSaveDialog,
|
||||
} = useDiagram()
|
||||
|
||||
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
|
||||
const textareaRef = useRef<HTMLTextAreaElement>(null)
|
||||
const fileInputRef = useRef<HTMLInputElement>(null)
|
||||
const [isDragging, setIsDragging] = useState(false)
|
||||
|
||||
const adjustTextareaHeight = useCallback(() => {
|
||||
const textarea = textareaRef.current
|
||||
if (textarea) {
|
||||
textarea.style.height = "auto"
|
||||
textarea.style.height = `${Math.min(textarea.scrollHeight, 200)}px`
|
||||
// Expose focus method via ref
|
||||
useImperativeHandle(ref, () => ({
|
||||
focus: () => {
|
||||
textareaRef.current?.focus()
|
||||
},
|
||||
}))
|
||||
|
||||
// Focus the textarea when shouldFocus becomes true
|
||||
// Use setTimeout to ensure focus happens after drawio iframe settles
|
||||
useEffect(() => {
|
||||
if (shouldFocus) {
|
||||
const timer = setTimeout(() => {
|
||||
textareaRef.current?.focus()
|
||||
onFocused?.()
|
||||
}, 150)
|
||||
return () => clearTimeout(timer)
|
||||
}
|
||||
}, [shouldFocus, onFocused])
|
||||
|
||||
const [showHistory, setShowHistory] = useState(false)
|
||||
const [showUrlDialog, setShowUrlDialog] = useState(false)
|
||||
const [isExtractingUrl, setIsExtractingUrl] = useState(false)
|
||||
const [sendShortcut, setSendShortcut] = useState("ctrl-enter")
|
||||
// Allow retry when there's an error (even if status is still "streaming" or "submitted")
|
||||
const isDisabled =
|
||||
(status === "streaming" || status === "submitted") && !error
|
||||
|
||||
const adjustTextareaHeight = useCallback(() => {
|
||||
const textarea = textareaRef.current
|
||||
if (textarea) {
|
||||
textarea.style.height = "auto"
|
||||
textarea.style.height = `${Math.min(textarea.scrollHeight, 200)}px`
|
||||
}
|
||||
}, [])
|
||||
// Handle programmatic input changes (e.g., setInput("") after form submission)
|
||||
useEffect(() => {
|
||||
adjustTextareaHeight()
|
||||
}, [input, adjustTextareaHeight])
|
||||
|
||||
// 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,
|
||||
)
|
||||
}, [])
|
||||
|
||||
const handleChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
|
||||
onChange(e)
|
||||
adjustTextareaHeight()
|
||||
}
|
||||
}, [])
|
||||
// Handle programmatic input changes (e.g., setInput("") after form submission)
|
||||
useEffect(() => {
|
||||
adjustTextareaHeight()
|
||||
}, [input, adjustTextareaHeight])
|
||||
|
||||
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"
|
||||
|
||||
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()
|
||||
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 handlePaste = async (e: React.ClipboardEvent) => {
|
||||
if (isDisabled) return
|
||||
|
||||
const items = e.clipboardData.items
|
||||
const imageItems = Array.from(items).filter((item) =>
|
||||
item.type.startsWith("image/"),
|
||||
)
|
||||
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}.${file.type.split("/")[1]}`,
|
||||
{ type: file.type },
|
||||
)
|
||||
}),
|
||||
if (imageItems.length > 0) {
|
||||
const imageFiles = (
|
||||
await Promise.all(
|
||||
imageItems.map(async (item, index) => {
|
||||
const file = item.getAsFile()
|
||||
if (!file) return null
|
||||
return new File(
|
||||
[file],
|
||||
`pasted-image-${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,
|
||||
)
|
||||
).filter((f): f is File => f !== null)
|
||||
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),
|
||||
)
|
||||
|
||||
const { validFiles, errors } = validateFiles(
|
||||
imageFiles,
|
||||
supportedFiles,
|
||||
files.length,
|
||||
dict,
|
||||
)
|
||||
@@ -247,202 +388,218 @@ export function ChatInput({
|
||||
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])
|
||||
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)
|
||||
}
|
||||
}
|
||||
|
||||
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}
|
||||
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
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
<ModelSelector
|
||||
models={models}
|
||||
selectedModelId={selectedModelId}
|
||||
onSelect={onModelSelect}
|
||||
onConfigure={onConfigureModels}
|
||||
)}
|
||||
<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}
|
||||
showUnvalidatedModels={showUnvalidatedModels}
|
||||
aria-label="Chat input"
|
||||
className="min-h-[60px] max-h-[200px] resize-none border-0 bg-transparent px-4 py-3 text-sm focus-visible:ring-0 focus-visible:ring-offset-0 placeholder:text-muted-foreground/60 scrollbar-thin"
|
||||
/>
|
||||
<div className="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" />
|
||||
) : (
|
||||
<>
|
||||
<Send className="h-4 w-4 mr-1.5" />
|
||||
{dict.chat.send}
|
||||
</>
|
||||
)}
|
||||
</Button>
|
||||
|
||||
<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}
|
||||
disabled={isDisabled}
|
||||
showUnvalidatedModels={showUnvalidatedModels}
|
||||
/>
|
||||
<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" />
|
||||
) : (
|
||||
<>
|
||||
<Send className="h-4 w-4 mr-1.5" />
|
||||
{dict.chat.send}
|
||||
</>
|
||||
)}
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<HistoryDialog
|
||||
showHistory={showHistory}
|
||||
onToggleHistory={setShowHistory}
|
||||
/>
|
||||
<SaveDialog
|
||||
open={showSaveDialog}
|
||||
onOpenChange={setShowSaveDialog}
|
||||
onSave={(filename, format) =>
|
||||
saveDiagramToFile(
|
||||
filename,
|
||||
format,
|
||||
sessionId,
|
||||
dict.save.savedSuccessfully,
|
||||
)
|
||||
}
|
||||
defaultFilename={`diagram-${new Date()
|
||||
.toISOString()
|
||||
.slice(0, 10)}`}
|
||||
/>
|
||||
</form>
|
||||
)
|
||||
}
|
||||
<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>
|
||||
)
|
||||
},
|
||||
)
|
||||
|
||||
@@ -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"
|
||||
@@ -28,6 +28,9 @@ 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"
|
||||
@@ -38,7 +41,6 @@ import {
|
||||
replaceNodes,
|
||||
validateAndFixXml,
|
||||
} from "@/lib/utils"
|
||||
import ExamplePanel from "./chat-example-panel"
|
||||
|
||||
// Helper to extract complete operations from streaming input
|
||||
function getCompleteOperations(
|
||||
@@ -58,20 +60,20 @@ function getCompleteOperations(
|
||||
|
||||
import { useDiagram } from "@/contexts/diagram-context"
|
||||
|
||||
// Helper to split text content into regular text and file sections (PDF or text files)
|
||||
// Helper to split text content into regular text and file/URL sections (PDF, text files, or URLs)
|
||||
interface TextSection {
|
||||
type: "text" | "file"
|
||||
type: "text" | "file" | "url"
|
||||
content: string
|
||||
filename?: string
|
||||
charCount?: number
|
||||
fileType?: "pdf" | "text"
|
||||
fileType?: "pdf" | "text" | "url"
|
||||
}
|
||||
|
||||
function splitTextIntoFileSections(text: string): TextSection[] {
|
||||
const sections: TextSection[] = []
|
||||
// Match [PDF: filename] or [File: filename] patterns
|
||||
// Match [PDF: filename], [File: filename], or [URL: url] patterns
|
||||
const filePattern =
|
||||
/\[(PDF|File):\s*([^\]]+)\]\n([\s\S]*?)(?=\n\n\[(PDF|File):|$)/g
|
||||
/\[(PDF|File|URL):\s*([^\]]+)\]\n([\s\S]*?)(?=\n\n\[(PDF|File|URL):|$)/g
|
||||
let lastIndex = 0
|
||||
let match
|
||||
|
||||
@@ -82,28 +84,34 @@ function splitTextIntoFileSections(text: string): TextSection[] {
|
||||
sections.push({ type: "text", content: beforeText })
|
||||
}
|
||||
|
||||
// Add file section
|
||||
const fileType = match[1].toLowerCase() === "pdf" ? "pdf" : "text"
|
||||
// Add file/url section
|
||||
const sectionType = match[1].toLowerCase()
|
||||
const fileType =
|
||||
sectionType === "pdf"
|
||||
? "pdf"
|
||||
: sectionType === "url"
|
||||
? "url"
|
||||
: "text"
|
||||
const filename = match[2].trim()
|
||||
const fileContent = match[3].trim()
|
||||
const content = match[3].trim()
|
||||
sections.push({
|
||||
type: "file",
|
||||
content: fileContent,
|
||||
type: sectionType === "url" ? "url" : "file",
|
||||
content: content,
|
||||
filename,
|
||||
charCount: fileContent.length,
|
||||
charCount: content.length,
|
||||
fileType,
|
||||
})
|
||||
|
||||
lastIndex = match.index + match[0].length
|
||||
}
|
||||
|
||||
// Add remaining text after last file section
|
||||
// Add remaining text after last section
|
||||
const remainingText = text.slice(lastIndex).trim()
|
||||
if (remainingText) {
|
||||
sections.push({ type: "text", content: remainingText })
|
||||
}
|
||||
|
||||
// If no file sections found, return original text
|
||||
// If no file/url sections found, return original text
|
||||
if (sections.length === 0) {
|
||||
sections.push({ type: "text", content: text })
|
||||
}
|
||||
@@ -122,8 +130,8 @@ 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: ...] and [File: ...] sections that were appended
|
||||
const filePattern = /\n\n\[(PDF|File):\s*[^\]]+\]\n[\s\S]*$/
|
||||
// Strip out [PDF: ...], [File: ...], and [URL: ...] sections that were appended
|
||||
const filePattern = /\n\n\[(PDF|File|URL):\s*[^\]]+\]\n[\s\S]*$/
|
||||
return fullText.replace(filePattern, "").trim()
|
||||
}
|
||||
|
||||
@@ -149,6 +157,8 @@ interface ChatMessageDisplayProps {
|
||||
onSelectSession?: (id: string) => void
|
||||
onDeleteSession?: (id: string) => void
|
||||
loadedMessageIdsRef?: MutableRefObject<Set<string>>
|
||||
validationStates?: Record<string, ValidationState>
|
||||
onImproveWithSuggestions?: (feedback: string) => void
|
||||
}
|
||||
|
||||
export function ChatMessageDisplay({
|
||||
@@ -166,6 +176,8 @@ export function ChatMessageDisplay({
|
||||
onSelectSession,
|
||||
onDeleteSession,
|
||||
loadedMessageIdsRef,
|
||||
validationStates = {},
|
||||
onImproveWithSuggestions,
|
||||
}: ChatMessageDisplayProps) {
|
||||
const dict = useDictionary()
|
||||
const { chartXML, loadDiagram: onDisplayChart } = useDiagram()
|
||||
@@ -430,11 +442,15 @@ export function ChatMessageDisplay({
|
||||
const toolPart = part as ToolPartLike
|
||||
const { toolCallId, state, input } = toolPart
|
||||
|
||||
// Auto-collapse on completion, but only if user hasn't manually toggled
|
||||
if (state === "output-available") {
|
||||
setExpandedTools((prev) => ({
|
||||
...prev,
|
||||
[toolCallId]: false,
|
||||
}))
|
||||
setExpandedTools((prev) => {
|
||||
// Only auto-collapse if not already set (user hasn't interacted)
|
||||
if (prev[toolCallId] === undefined) {
|
||||
return { ...prev, [toolCallId]: false }
|
||||
}
|
||||
return prev
|
||||
})
|
||||
}
|
||||
|
||||
if (
|
||||
@@ -912,30 +928,56 @@ export function ChatMessageDisplay({
|
||||
return groups.map(
|
||||
(group, groupIndex) => {
|
||||
if (group.type === "tool") {
|
||||
const toolPart = group
|
||||
.parts[0] as ToolPartLike
|
||||
const toolCallId =
|
||||
toolPart.toolCallId
|
||||
const isDisplayDiagram =
|
||||
toolPart.type ===
|
||||
"tool-display_diagram"
|
||||
const validationState =
|
||||
validationStates[
|
||||
toolCallId
|
||||
]
|
||||
|
||||
return (
|
||||
<ToolCallCard
|
||||
<div
|
||||
key={`${message.id}-tool-${group.startIndex}`}
|
||||
part={
|
||||
group
|
||||
.parts[0] as ToolPartLike
|
||||
}
|
||||
expandedTools={
|
||||
expandedTools
|
||||
}
|
||||
setExpandedTools={
|
||||
setExpandedTools
|
||||
}
|
||||
onCopy={
|
||||
copyMessageToClipboard
|
||||
}
|
||||
copiedToolCallId={
|
||||
copiedToolCallId
|
||||
}
|
||||
copyFailedToolCallId={
|
||||
copyFailedToolCallId
|
||||
}
|
||||
dict={dict}
|
||||
/>
|
||||
>
|
||||
<ToolCallCard
|
||||
part={
|
||||
toolPart
|
||||
}
|
||||
expandedTools={
|
||||
expandedTools
|
||||
}
|
||||
setExpandedTools={
|
||||
setExpandedTools
|
||||
}
|
||||
onCopy={
|
||||
copyMessageToClipboard
|
||||
}
|
||||
copiedToolCallId={
|
||||
copiedToolCallId
|
||||
}
|
||||
copyFailedToolCallId={
|
||||
copyFailedToolCallId
|
||||
}
|
||||
dict={dict}
|
||||
/>
|
||||
{/* Show validation card for display_diagram tools */}
|
||||
{isDisplayDiagram &&
|
||||
validationState && (
|
||||
<ValidationCard
|
||||
state={
|
||||
validationState
|
||||
}
|
||||
onImproveWithSuggestions={
|
||||
onImproveWithSuggestions
|
||||
}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
@@ -1049,12 +1091,14 @@ export function ChatMessageDisplay({
|
||||
) => {
|
||||
if (
|
||||
section.type ===
|
||||
"file"
|
||||
"file" ||
|
||||
section.type ===
|
||||
"url"
|
||||
) {
|
||||
const pdfKey = `${message.id}-file-${partIndex}-${sectionIndex}`
|
||||
const sectionKey = `${message.id}-${section.type}-${partIndex}-${sectionIndex}`
|
||||
const isExpanded =
|
||||
expandedPdfSections[
|
||||
pdfKey
|
||||
sectionKey
|
||||
] ??
|
||||
false
|
||||
const charDisplay =
|
||||
@@ -1063,10 +1107,27 @@ 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={
|
||||
pdfKey
|
||||
sectionKey
|
||||
}
|
||||
className="rounded-lg border border-border/60 bg-muted/30 overflow-hidden"
|
||||
>
|
||||
@@ -1081,7 +1142,7 @@ export function ChatMessageDisplay({
|
||||
prev,
|
||||
) => ({
|
||||
...prev,
|
||||
[pdfKey]:
|
||||
[sectionKey]:
|
||||
!isExpanded,
|
||||
}),
|
||||
)
|
||||
@@ -1089,13 +1150,10 @@ 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">
|
||||
{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">
|
||||
<Icon
|
||||
className={`h-4 w-4 ${iconColor}`}
|
||||
/>
|
||||
<span className="text-xs font-medium truncate max-w-[200px]">
|
||||
{
|
||||
section.filename
|
||||
}
|
||||
@@ -1115,7 +1173,7 @@ 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">
|
||||
<div className="px-3 py-2 border-t border-border/40 max-h-48 overflow-y-auto bg-muted/30 scrollbar-thin">
|
||||
<pre className="text-xs whitespace-pre-wrap text-foreground/80">
|
||||
{
|
||||
section.content
|
||||
|
||||
@@ -8,8 +8,7 @@ import {
|
||||
PanelRightOpen,
|
||||
Settings,
|
||||
} from "lucide-react"
|
||||
import Image from "next/image"
|
||||
import { useRouter, useSearchParams } from "next/navigation"
|
||||
import { usePathname, useRouter, useSearchParams } from "next/navigation"
|
||||
import type React from "react"
|
||||
import {
|
||||
useCallback,
|
||||
@@ -22,6 +21,7 @@ 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"
|
||||
@@ -29,14 +29,18 @@ 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"
|
||||
|
||||
@@ -69,13 +73,13 @@ 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"
|
||||
const MAX_AUTO_RETRY_COUNT = 1
|
||||
// Increased to 3 to support VLM validation retries (matches MAX_VALIDATION_RETRIES)
|
||||
const MAX_AUTO_RETRY_COUNT = 3
|
||||
|
||||
const MAX_CONTINUATION_RETRY_COUNT = 2 // Limit for truncation continuation retries
|
||||
|
||||
@@ -110,7 +114,6 @@ export default function ChatPanel({
|
||||
darkMode,
|
||||
onToggleDarkMode,
|
||||
isMobile = false,
|
||||
onCloseProtectionChange,
|
||||
}: ChatPanelProps) {
|
||||
const {
|
||||
loadDiagram: onDisplayChart,
|
||||
@@ -121,12 +124,14 @@ 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")
|
||||
|
||||
@@ -158,6 +163,7 @@ 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)
|
||||
@@ -173,6 +179,8 @@ 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(() => {
|
||||
@@ -182,6 +190,14 @@ 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"))
|
||||
@@ -269,6 +285,46 @@ 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,
|
||||
@@ -277,6 +333,11 @@ export default function ChatPanel({
|
||||
onDisplayChart,
|
||||
onFetchChart,
|
||||
onExport,
|
||||
captureValidationPng,
|
||||
validateDiagram: validateWithFallback,
|
||||
enableVlmValidation: vlmValidationEnabled,
|
||||
sessionId,
|
||||
onValidationStateChange: handleValidationStateChange,
|
||||
})
|
||||
|
||||
const { messages, sendMessage, addToolOutput, status, error, setMessages } =
|
||||
@@ -425,6 +486,11 @@ export default function ChatPanel({
|
||||
},
|
||||
})
|
||||
|
||||
// Store sendMessage in ref for use in callbacks (like handleImproveWithSuggestions)
|
||||
useEffect(() => {
|
||||
sendMessageRef.current = sendMessage
|
||||
}, [sendMessage])
|
||||
|
||||
// Ref to track latest messages for unload persistence
|
||||
const messagesRef = useRef(messages)
|
||||
useEffect(() => {
|
||||
@@ -710,6 +776,8 @@ export default function ChatPanel({
|
||||
input,
|
||||
files,
|
||||
pdfData,
|
||||
undefined,
|
||||
urlData,
|
||||
)
|
||||
|
||||
setMessages([
|
||||
@@ -735,6 +803,7 @@ export default function ChatPanel({
|
||||
setInput("")
|
||||
sessionStorage.removeItem(SESSION_STORAGE_INPUT_KEY)
|
||||
setFiles([])
|
||||
setUrlData(new Map())
|
||||
return
|
||||
}
|
||||
}
|
||||
@@ -755,6 +824,7 @@ export default function ChatPanel({
|
||||
files,
|
||||
pdfData,
|
||||
parts,
|
||||
urlData,
|
||||
)
|
||||
|
||||
// Add the combined text as the first part
|
||||
@@ -779,6 +849,7 @@ export default function ChatPanel({
|
||||
setInput("")
|
||||
sessionStorage.removeItem(SESSION_STORAGE_INPUT_KEY)
|
||||
setFiles([])
|
||||
setUrlData(new Map())
|
||||
} catch (error) {
|
||||
console.error("Error fetching chart data:", error)
|
||||
}
|
||||
@@ -814,6 +885,7 @@ export default function ChatPanel({
|
||||
} else {
|
||||
justLoadedSessionIdRef.current = null
|
||||
}
|
||||
setValidationStates({}) // Clear validation states when switching sessions
|
||||
syncUIWithSession(sessionData)
|
||||
router.replace(`?session=${sessionId}`, { scroll: false })
|
||||
}
|
||||
@@ -830,10 +902,10 @@ export default function ChatPanel({
|
||||
if (result.wasCurrentSession) {
|
||||
// Deleted current session - clear UI and URL
|
||||
syncUIWithSession(null)
|
||||
router.replace(window.location.pathname, { scroll: false })
|
||||
router.replace(pathname, { scroll: false })
|
||||
}
|
||||
},
|
||||
[sessionManager, syncUIWithSession, router],
|
||||
[sessionManager, syncUIWithSession, router, pathname],
|
||||
)
|
||||
|
||||
const handleNewChat = useCallback(async () => {
|
||||
@@ -851,9 +923,12 @@ 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)}`
|
||||
@@ -863,7 +938,10 @@ export default function ChatPanel({
|
||||
toast.success(dict.dialogs.clearSuccess)
|
||||
|
||||
// Clear URL param to show blank state
|
||||
router.replace(window.location.pathname, { scroll: false })
|
||||
router.replace(pathname, { scroll: false })
|
||||
|
||||
// After starting a fresh chat, move focus back to the chat input
|
||||
setShouldFocusInput(true)
|
||||
}, [
|
||||
clearDiagram,
|
||||
handleFileChange,
|
||||
@@ -875,6 +953,7 @@ export default function ChatPanel({
|
||||
dict.dialogs.clearSuccess,
|
||||
buildSessionData,
|
||||
setDiagramHistory,
|
||||
pathname,
|
||||
])
|
||||
|
||||
const handleInputChange = (
|
||||
@@ -957,6 +1036,14 @@ 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",
|
||||
@@ -972,6 +1059,7 @@ export default function ChatPanel({
|
||||
files: File[],
|
||||
pdfData: Map<File, FileData>,
|
||||
imageParts?: any[],
|
||||
urlDataParam?: Map<string, UrlData>,
|
||||
): Promise<string> => {
|
||||
let userText = baseText
|
||||
|
||||
@@ -1002,6 +1090,14 @@ 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
|
||||
}
|
||||
|
||||
@@ -1185,6 +1281,7 @@ export default function ChatPanel({
|
||||
status === "streaming" || status === "submitted"
|
||||
}
|
||||
className="hover:bg-accent disabled:opacity-50 disabled:cursor-not-allowed"
|
||||
data-testid="new-chat-button"
|
||||
>
|
||||
<MessageSquarePlus
|
||||
className={`${isMobile ? "h-4 w-4" : "h-5 w-5"} text-muted-foreground`}
|
||||
@@ -1197,6 +1294,7 @@ export default function ChatPanel({
|
||||
size="icon"
|
||||
onClick={() => setShowSettingsDialog(true)}
|
||||
className="hover:bg-accent"
|
||||
data-testid="settings-button"
|
||||
>
|
||||
<Settings
|
||||
className={`${isMobile ? "h-4 w-4" : "h-5 w-5"} text-muted-foreground`}
|
||||
@@ -1236,6 +1334,8 @@ export default function ChatPanel({
|
||||
onSelectSession={handleSelectSession}
|
||||
onDeleteSession={handleDeleteSession}
|
||||
loadedMessageIdsRef={loadedMessageIdsRef}
|
||||
validationStates={validationStates}
|
||||
onImproveWithSuggestions={handleImproveWithSuggestions}
|
||||
/>
|
||||
</main>
|
||||
|
||||
@@ -1262,26 +1362,31 @@ export default function ChatPanel({
|
||||
files={files}
|
||||
onFileChange={handleFileChange}
|
||||
pdfData={pdfData}
|
||||
urlData={urlData}
|
||||
onUrlChange={setUrlData}
|
||||
sessionId={sessionId}
|
||||
error={error}
|
||||
models={modelConfig.models}
|
||||
selectedModelId={modelConfig.selectedModelId}
|
||||
onModelSelect={modelConfig.setSelectedModelId}
|
||||
showUnvalidatedModels={modelConfig.showUnvalidatedModels}
|
||||
onConfigureModels={() => setShowModelConfigDialog(true)}
|
||||
shouldFocus={shouldFocusInput}
|
||||
onFocused={() => setShouldFocusInput(false)}
|
||||
/>
|
||||
</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 collapsed if tool is complete, expanded if still streaming
|
||||
const isExpanded = expandedTools[callId] ?? state !== "output-available"
|
||||
// Default to expanded for all states (user can manually collapse if needed)
|
||||
const isExpanded = expandedTools[callId] ?? true
|
||||
const toolName = part.type?.replace("tool-", "")
|
||||
const isCopied = copiedToolCallId === callId
|
||||
|
||||
|
||||
328
components/chat/ValidationCard.tsx
Normal file
328
components/chat/ValidationCard.tsx
Normal file
@@ -0,0 +1,328 @@
|
||||
"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, Loader2, X } from "lucide-react"
|
||||
import Image from "next/image"
|
||||
import { FileCode, FileText, Link, Loader2, X } from "lucide-react"
|
||||
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"
|
||||
|
||||
@@ -20,12 +20,19 @@ 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)
|
||||
@@ -77,7 +84,7 @@ export function FilePreviewList({
|
||||
}
|
||||
}, [imageUrls, selectedImage])
|
||||
|
||||
if (files.length === 0) return null
|
||||
if (files.length === 0 && (!urlData || urlData.size === 0)) return null
|
||||
|
||||
return (
|
||||
<>
|
||||
@@ -152,6 +159,59 @@ 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">
|
||||
<DialogContent className="max-w-3xl max-h-[80vh] overflow-y-auto scrollbar-thin">
|
||||
<DialogHeader>
|
||||
<DialogTitle>{dict.history.title}</DialogTitle>
|
||||
<DialogDescription>
|
||||
|
||||
16
components/image-with-basepath.tsx
Normal file
16
components/image-with-basepath.tsx
Normal file
@@ -0,0 +1,16 @@
|
||||
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} />
|
||||
},
|
||||
)
|
||||
@@ -78,7 +78,9 @@ 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
|
||||
@@ -102,6 +104,7 @@ function ProviderLogo({
|
||||
|
||||
const logoName = PROVIDER_LOGO_MAP[provider] || provider
|
||||
return (
|
||||
// biome-ignore lint/performance/noImgElement: External URL from models.dev
|
||||
<img
|
||||
alt={`${provider} logo`}
|
||||
className={cn("size-4 dark:invert", className)}
|
||||
@@ -235,6 +238,7 @@ export function ModelConfigDialog({
|
||||
"awsAccessKeyId",
|
||||
"awsSecretAccessKey",
|
||||
"awsRegion",
|
||||
"vertexApiKey",
|
||||
]
|
||||
if (credentialFields.includes(field)) {
|
||||
setValidationStatus("idle")
|
||||
@@ -273,11 +277,12 @@ export function ModelConfigDialog({
|
||||
|
||||
// Validate all models
|
||||
const handleValidate = useCallback(async () => {
|
||||
if (!selectedProvider) return
|
||||
if (!selectedProvider || !selectedProviderId) return
|
||||
|
||||
// Check credentials based on provider type
|
||||
const isBedrock = selectedProvider.provider === "bedrock"
|
||||
const isEdgeOne = selectedProvider.provider === "edgeone"
|
||||
const isVertexAI = selectedProvider.provider === "vertexai"
|
||||
if (isBedrock) {
|
||||
if (
|
||||
!selectedProvider.awsAccessKeyId ||
|
||||
@@ -286,6 +291,11 @@ export function ModelConfigDialog({
|
||||
) {
|
||||
return
|
||||
}
|
||||
} else if (isVertexAI) {
|
||||
// Vertex AI requires vertexApiKey for Express Mode
|
||||
if (!selectedProvider.vertexApiKey) {
|
||||
return
|
||||
}
|
||||
} else if (!isEdgeOne && !selectedProvider.apiKey) {
|
||||
return
|
||||
}
|
||||
@@ -326,19 +336,21 @@ 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()
|
||||
|
||||
if (data.valid) {
|
||||
updateModel(selectedProviderId!, model.id, {
|
||||
updateModel(selectedProviderId, model.id, {
|
||||
validated: true,
|
||||
validationError: undefined,
|
||||
})
|
||||
} else {
|
||||
allValid = false
|
||||
errorCount++
|
||||
updateModel(selectedProviderId!, model.id, {
|
||||
updateModel(selectedProviderId, model.id, {
|
||||
validated: false,
|
||||
validationError: data.error || "Validation failed",
|
||||
})
|
||||
@@ -346,7 +358,7 @@ export function ModelConfigDialog({
|
||||
} catch {
|
||||
allValid = false
|
||||
errorCount++
|
||||
updateModel(selectedProviderId!, model.id, {
|
||||
updateModel(selectedProviderId, model.id, {
|
||||
validated: false,
|
||||
validationError: "Network error",
|
||||
})
|
||||
@@ -357,7 +369,7 @@ export function ModelConfigDialog({
|
||||
|
||||
if (allValid) {
|
||||
setValidationStatus("success")
|
||||
updateProvider(selectedProviderId!, { validated: true })
|
||||
updateProvider(selectedProviderId, { validated: true })
|
||||
// Reset to idle after showing success briefly (with cleanup)
|
||||
if (validationResetTimeoutRef.current) {
|
||||
clearTimeout(validationResetTimeoutRef.current)
|
||||
@@ -431,12 +443,12 @@ 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",
|
||||
"text-left text-sm transition-all duration-150 border border-transparent",
|
||||
"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 ring-1 ring-border-subtle",
|
||||
"bg-surface-0 shadow-sm border-border-subtle",
|
||||
)}
|
||||
>
|
||||
<div
|
||||
@@ -865,7 +877,162 @@ export function ModelConfigDialog({
|
||||
</div>
|
||||
</>
|
||||
) : selectedProvider.provider ===
|
||||
"edgeone" ? (
|
||||
"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 ===
|
||||
"ollama" ||
|
||||
selectedProvider.provider ===
|
||||
"edgeone" ? (
|
||||
<div className="space-y-3">
|
||||
<div className="flex items-center gap-2">
|
||||
<Button
|
||||
@@ -1046,17 +1213,19 @@ 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
|
||||
.baseUrl
|
||||
}
|
||||
<span className="text-muted-foreground font-normal">
|
||||
.baseUrlWithExample,
|
||||
{
|
||||
dict
|
||||
.modelConfig
|
||||
.optional
|
||||
}
|
||||
</span>
|
||||
example:
|
||||
PROVIDER_INFO[
|
||||
selectedProvider
|
||||
.provider
|
||||
]
|
||||
.defaultBaseUrl ||
|
||||
"https://api.example.com/v1",
|
||||
},
|
||||
)}
|
||||
</Label>
|
||||
<Input
|
||||
id="base-url"
|
||||
@@ -1298,20 +1467,24 @@ export function ModelConfigDialog({
|
||||
null,
|
||||
)
|
||||
}
|
||||
updateModel(
|
||||
selectedProviderId!,
|
||||
model.id,
|
||||
{
|
||||
modelId:
|
||||
e
|
||||
.target
|
||||
.value,
|
||||
validated:
|
||||
undefined,
|
||||
validationError:
|
||||
undefined,
|
||||
},
|
||||
)
|
||||
if (
|
||||
selectedProviderId
|
||||
) {
|
||||
updateModel(
|
||||
selectedProviderId,
|
||||
model.id,
|
||||
{
|
||||
modelId:
|
||||
e
|
||||
.target
|
||||
.value,
|
||||
validated:
|
||||
undefined,
|
||||
validationError:
|
||||
undefined,
|
||||
},
|
||||
)
|
||||
}
|
||||
}}
|
||||
onKeyDown={(
|
||||
e,
|
||||
|
||||
@@ -5,8 +5,9 @@ import {
|
||||
Bot,
|
||||
Check,
|
||||
ChevronDown,
|
||||
Monitor,
|
||||
Server,
|
||||
Settings2,
|
||||
User,
|
||||
} from "lucide-react"
|
||||
import { useEffect, useMemo, useRef, useState } from "react"
|
||||
import {
|
||||
@@ -19,6 +20,7 @@ import {
|
||||
ModelSelectorLogo,
|
||||
ModelSelectorName,
|
||||
ModelSelector as ModelSelectorRoot,
|
||||
ModelSelectorSectionHeader,
|
||||
ModelSelectorSeparator,
|
||||
ModelSelectorTrigger,
|
||||
} from "@/components/ai-elements/model-selector"
|
||||
@@ -31,7 +33,6 @@ interface ModelSelectorProps {
|
||||
models: FlattenedModel[]
|
||||
selectedModelId: string | undefined
|
||||
onSelect: (modelId: string | undefined) => void
|
||||
onConfigure: () => void
|
||||
disabled?: boolean
|
||||
showUnvalidatedModels?: boolean
|
||||
}
|
||||
@@ -49,7 +50,9 @@ 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)
|
||||
@@ -61,7 +64,11 @@ function groupModelsByProvider(
|
||||
{ provider: string; models: FlattenedModel[] }
|
||||
>()
|
||||
for (const model of models) {
|
||||
const key = model.providerLabel
|
||||
// For server models, strip "Server · " prefix for cleaner grouping
|
||||
const key =
|
||||
model.source === "server"
|
||||
? model.providerLabel.replace(/^Server · /, "")
|
||||
: model.providerLabel
|
||||
const existing = groups.get(key)
|
||||
if (existing) {
|
||||
existing.models.push(model)
|
||||
@@ -76,7 +83,6 @@ export function ModelSelector({
|
||||
models,
|
||||
selectedModelId,
|
||||
onSelect,
|
||||
onConfigure,
|
||||
disabled = false,
|
||||
showUnvalidatedModels = false,
|
||||
}: ModelSelectorProps) {
|
||||
@@ -89,10 +95,26 @@ export function ModelSelector({
|
||||
}
|
||||
return models.filter((m) => m.validated === true)
|
||||
}, [models, showUnvalidatedModels])
|
||||
const groupedModels = useMemo(
|
||||
() => groupModelsByProvider(displayModels),
|
||||
|
||||
// Separate server and user models
|
||||
const serverModels = useMemo(
|
||||
() => displayModels.filter((m) => m.source === "server"),
|
||||
[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(
|
||||
@@ -101,9 +123,7 @@ export function ModelSelector({
|
||||
)
|
||||
|
||||
const handleSelect = (value: string) => {
|
||||
if (value === "__configure__") {
|
||||
onConfigure()
|
||||
} else if (value === "__server_default__") {
|
||||
if (value === "__server_default__") {
|
||||
onSelect(undefined)
|
||||
} else {
|
||||
onSelect(value)
|
||||
@@ -159,7 +179,7 @@ export function ModelSelector({
|
||||
size="sm"
|
||||
disabled={disabled}
|
||||
className={cn(
|
||||
"hover:bg-accent gap-1.5 h-8 px-2 transition-all duration-150 ease-in-out",
|
||||
"hover:bg-accent gap-1.5 h-8 px-2 transition-[padding,background-color] duration-150 ease-in-out",
|
||||
!showLabel && "px-1.5 justify-center",
|
||||
)}
|
||||
// accessibility: expose label to screen readers
|
||||
@@ -196,99 +216,171 @@ export function ModelSelector({
|
||||
: dict.modelConfig.noModelsFound}
|
||||
</ModelSelectorEmpty>
|
||||
|
||||
{/* Server Default Option */}
|
||||
<ModelSelectorGroup heading={dict.modelConfig.default}>
|
||||
<ModelSelectorItem
|
||||
value="__server_default__"
|
||||
onSelect={handleSelect}
|
||||
className={cn(
|
||||
"cursor-pointer",
|
||||
!selectedModelId && "bg-accent",
|
||||
)}
|
||||
{/* Server Default Option - only show when no server models are configured */}
|
||||
{serverModels.length === 0 && (
|
||||
<ModelSelectorGroup
|
||||
heading={dict.modelConfig.default}
|
||||
>
|
||||
<Check
|
||||
<ModelSelectorItem
|
||||
value="__server_default__"
|
||||
onSelect={handleSelect}
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
!selectedModelId
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
"cursor-pointer",
|
||||
!selectedModelId && "bg-accent",
|
||||
)}
|
||||
/>
|
||||
<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
|
||||
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>
|
||||
),
|
||||
<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>
|
||||
)}
|
||||
|
||||
{/* 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>
|
||||
),
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
|
||||
{/* 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
|
||||
|
||||
@@ -1,8 +1,9 @@
|
||||
"use client"
|
||||
|
||||
import { Github, Info, Moon, Sun, Tag } from "lucide-react"
|
||||
import { ChevronRight, 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,
|
||||
@@ -24,6 +25,7 @@ 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({
|
||||
@@ -54,22 +56,24 @@ 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 {
|
||||
@@ -82,26 +86,33 @@ 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
|
||||
@@ -143,13 +154,20 @@ function SettingsContent({
|
||||
localStorage.getItem(STORAGE_ACCESS_CODE_KEY) || ""
|
||||
setAccessCode(storedCode)
|
||||
|
||||
const storedCloseProtection = localStorage.getItem(
|
||||
STORAGE_CLOSE_PROTECTION_KEY,
|
||||
const storedSendShortcut = localStorage.getItem(
|
||||
STORAGE_KEYS.sendShortcut,
|
||||
)
|
||||
// Default to true if not set
|
||||
setCloseProtection(storedCloseProtection !== "false")
|
||||
setSendShortcut(storedSendShortcut || "ctrl-enter")
|
||||
|
||||
setError("")
|
||||
|
||||
// Load proxy settings (Electron only)
|
||||
if (window.electronAPI?.getProxy) {
|
||||
window.electronAPI.getProxy().then((config) => {
|
||||
setHttpProxy(config.httpProxy || "")
|
||||
setHttpsProxy(config.httpsProxy || "")
|
||||
})
|
||||
}
|
||||
}
|
||||
}, [open])
|
||||
|
||||
@@ -157,6 +175,13 @@ 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
|
||||
@@ -208,6 +233,46 @@ 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 */}
|
||||
@@ -221,6 +286,27 @@ 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">
|
||||
@@ -333,25 +419,6 @@ 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}
|
||||
@@ -370,6 +437,110 @@ 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>
|
||||
|
||||
|
||||
@@ -1,92 +0,0 @@
|
||||
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,
|
||||
}
|
||||
116
components/url-input-dialog.tsx
Normal file
116
components/url-input-dialog.tsx
Normal file
@@ -0,0 +1,116 @@
|
||||
"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>
|
||||
)
|
||||
}
|
||||
@@ -31,6 +31,7 @@ interface DiagramContextType {
|
||||
successMessage?: string,
|
||||
) => void
|
||||
getThumbnailSvg: () => Promise<string | null>
|
||||
captureValidationPng: () => Promise<string | null>
|
||||
isDrawioReady: boolean
|
||||
onDrawioLoad: () => void
|
||||
resetDrawioReady: () => void
|
||||
@@ -51,6 +52,8 @@ 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)
|
||||
@@ -147,6 +150,37 @@ 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,
|
||||
@@ -186,6 +220,13 @@ 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
|
||||
@@ -353,6 +394,7 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
|
||||
clearDiagram,
|
||||
saveDiagramToFile,
|
||||
getThumbnailSvg,
|
||||
captureValidationPng,
|
||||
isDrawioReady,
|
||||
onDrawioLoad,
|
||||
resetDrawioReady,
|
||||
|
||||
78
docs/cn/FAQ.md
Normal file
78
docs/cn/FAQ.md
Normal file
@@ -0,0 +1,78 @@
|
||||
# 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
|
||||
@@ -37,11 +37,12 @@ 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(推荐)](#部署到vercel推荐)
|
||||
- [部署到Vercel](#部署到vercel)
|
||||
- [部署到Cloudflare Workers](#部署到cloudflare-workers)
|
||||
- [多提供商支持](#多提供商支持)
|
||||
- [工作原理](#工作原理)
|
||||
- [支持与联系](#支持与联系)
|
||||
- [常见问题](#常见问题)
|
||||
- [Star历史](#star历史)
|
||||
|
||||
## 示例
|
||||
@@ -179,7 +180,7 @@ 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(推荐)
|
||||
### 部署到Vercel
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
@@ -199,11 +200,13 @@ npm run dev
|
||||
- OpenAI
|
||||
- Anthropic
|
||||
- Google AI
|
||||
- Google Vertex AI
|
||||
- Azure OpenAI
|
||||
- Ollama
|
||||
- OpenRouter
|
||||
- DeepSeek
|
||||
- SiliconFlow
|
||||
- ModelScope
|
||||
- SGLang
|
||||
- Vercel AI Gateway
|
||||
|
||||
@@ -211,6 +214,10 @@ 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。
|
||||
@@ -237,6 +244,10 @@ 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)
|
||||
|
||||
@@ -152,6 +152,19 @@ 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
|
||||
@@ -204,6 +217,63 @@ 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。
|
||||
|
||||
78
docs/en/FAQ.md
Normal file
78
docs/en/FAQ.md
Normal file
@@ -0,0 +1,78 @@
|
||||
# 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
|
||||
@@ -33,6 +33,21 @@ 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
|
||||
@@ -158,6 +173,19 @@ 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.
|
||||
@@ -201,9 +229,66 @@ 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
|
||||
AI_PROVIDER=google # or: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope
|
||||
```
|
||||
|
||||
## 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).
|
||||
|
||||
@@ -22,6 +22,27 @@ 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.
|
||||
|
||||
78
docs/ja/FAQ.md
Normal file
78
docs/ja/FAQ.md
Normal file
@@ -0,0 +1,78 @@
|
||||
# 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
|
||||
@@ -37,11 +37,12 @@ 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(推奨)](#vercelへのデプロイ推奨)
|
||||
- [Vercelへのデプロイ](#vercelへのデプロイ)
|
||||
- [Cloudflare Workersへのデプロイ](#cloudflare-workersへのデプロイ)
|
||||
- [マルチプロバイダーサポート](#マルチプロバイダーサポート)
|
||||
- [仕組み](#仕組み)
|
||||
- [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
|
||||
@@ -180,7 +181,7 @@ 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(推奨)
|
||||
### Vercelへのデプロイ
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
@@ -200,11 +201,13 @@ 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
|
||||
- OpenAI
|
||||
- Anthropic
|
||||
- Google AI
|
||||
- Google Vertex AI
|
||||
- Azure OpenAI
|
||||
- Ollama
|
||||
- OpenRouter
|
||||
- DeepSeek
|
||||
- SiliconFlow
|
||||
- ModelScope
|
||||
- SGLang
|
||||
- Vercel AI Gateway
|
||||
|
||||
@@ -212,6 +215,10 @@ 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。
|
||||
@@ -238,6 +245,10 @@ 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)
|
||||
|
||||
@@ -158,6 +158,19 @@ 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。
|
||||
@@ -204,6 +217,63 @@ 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。
|
||||
|
||||
@@ -99,7 +99,7 @@ function handleOptionsRequest(): Response {
|
||||
})
|
||||
}
|
||||
|
||||
export async function onRequest({ request, env }: any) {
|
||||
export async function onRequest({ request, env: _env }: any) {
|
||||
if (request.method === "OPTIONS") {
|
||||
return handleOptionsRequest()
|
||||
}
|
||||
|
||||
@@ -37,10 +37,11 @@ mac:
|
||||
arch:
|
||||
- x64
|
||||
- arm64
|
||||
hardenedRuntime: true
|
||||
# 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
|
||||
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
@@ -25,6 +25,25 @@ 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 */
|
||||
@@ -45,6 +64,16 @@ 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 */
|
||||
@@ -71,4 +100,10 @@ declare global {
|
||||
}
|
||||
}
|
||||
|
||||
export { ConfigPreset, ApplyPresetResult }
|
||||
export type {
|
||||
ConfigPreset,
|
||||
ApplyPresetResult,
|
||||
ProxyConfig,
|
||||
SetProxyResult,
|
||||
SetUserLocaleResult,
|
||||
}
|
||||
|
||||
@@ -12,11 +12,12 @@ 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
|
||||
* Build and set the application menu with i18n support
|
||||
*/
|
||||
export function buildAppMenu(): void {
|
||||
const template = getMenuTemplate()
|
||||
@@ -25,18 +26,22 @@ export function buildAppMenu(): void {
|
||||
}
|
||||
|
||||
/**
|
||||
* Rebuild the menu (call this when presets change)
|
||||
* Rebuild the menu (call this when presets change or language changes)
|
||||
*/
|
||||
export function rebuildAppMenu(): void {
|
||||
buildAppMenu()
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the menu template
|
||||
* Get the menu template with translations
|
||||
*/
|
||||
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
|
||||
@@ -44,10 +49,10 @@ function getMenuTemplate(): MenuItemConstructorOptions[] {
|
||||
template.push({
|
||||
label: app.name,
|
||||
submenu: [
|
||||
{ role: "about" },
|
||||
{ role: "about" }, // System-translated
|
||||
{ type: "separator" },
|
||||
{
|
||||
label: "Settings...",
|
||||
label: t.settings,
|
||||
accelerator: "CmdOrCtrl+,",
|
||||
click: () => {
|
||||
const win = BrowserWindow.getFocusedWindow()
|
||||
@@ -55,26 +60,26 @@ function getMenuTemplate(): MenuItemConstructorOptions[] {
|
||||
},
|
||||
},
|
||||
{ type: "separator" },
|
||||
{ role: "services" },
|
||||
{ role: "services" }, // System-translated
|
||||
{ type: "separator" },
|
||||
{ role: "hide" },
|
||||
{ role: "hideOthers" },
|
||||
{ role: "unhide" },
|
||||
{ role: "hide" }, // System-translated
|
||||
{ role: "hideOthers" }, // System-translated
|
||||
{ role: "unhide" }, // System-translated
|
||||
{ type: "separator" },
|
||||
{ role: "quit" },
|
||||
{ role: "quit" }, // System-translated
|
||||
],
|
||||
})
|
||||
}
|
||||
|
||||
// File menu
|
||||
template.push({
|
||||
label: "File",
|
||||
label: t.file,
|
||||
submenu: [
|
||||
...(isMac
|
||||
? []
|
||||
: [
|
||||
{
|
||||
label: "Settings",
|
||||
label: t.settings,
|
||||
accelerator: "CmdOrCtrl+,",
|
||||
click: () => {
|
||||
const win = BrowserWindow.getFocusedWindow()
|
||||
@@ -83,76 +88,76 @@ function getMenuTemplate(): MenuItemConstructorOptions[] {
|
||||
},
|
||||
{ type: "separator" } as MenuItemConstructorOptions,
|
||||
]),
|
||||
isMac ? { role: "close" } : { role: "quit" },
|
||||
isMac ? { role: "close" } : { role: "quit" }, // System-translated
|
||||
],
|
||||
})
|
||||
|
||||
// Edit menu
|
||||
template.push({
|
||||
label: "Edit",
|
||||
label: t.edit,
|
||||
submenu: [
|
||||
{ role: "undo" },
|
||||
{ role: "redo" },
|
||||
{ role: "undo" }, // System-translated
|
||||
{ role: "redo" }, // System-translated
|
||||
{ type: "separator" },
|
||||
{ role: "cut" },
|
||||
{ role: "copy" },
|
||||
{ role: "paste" },
|
||||
{ role: "cut" }, // System-translated
|
||||
{ role: "copy" }, // System-translated
|
||||
{ role: "paste" }, // System-translated
|
||||
...(isMac
|
||||
? [
|
||||
{
|
||||
role: "pasteAndMatchStyle",
|
||||
} as MenuItemConstructorOptions,
|
||||
{ role: "delete" } as MenuItemConstructorOptions,
|
||||
{ role: "selectAll" } as MenuItemConstructorOptions,
|
||||
} as MenuItemConstructorOptions, // System-translated
|
||||
{ role: "delete" } as MenuItemConstructorOptions, // System-translated
|
||||
{ role: "selectAll" } as MenuItemConstructorOptions, // System-translated
|
||||
]
|
||||
: [
|
||||
{ role: "delete" } as MenuItemConstructorOptions,
|
||||
{ role: "delete" } as MenuItemConstructorOptions, // System-translated
|
||||
{ type: "separator" } as MenuItemConstructorOptions,
|
||||
{ role: "selectAll" } as MenuItemConstructorOptions,
|
||||
{ role: "selectAll" } as MenuItemConstructorOptions, // System-translated
|
||||
]),
|
||||
],
|
||||
})
|
||||
|
||||
// View menu
|
||||
template.push({
|
||||
label: "View",
|
||||
label: t.view,
|
||||
submenu: [
|
||||
{ role: "reload" },
|
||||
{ role: "forceReload" },
|
||||
{ role: "toggleDevTools" },
|
||||
{ role: "reload" }, // System-translated
|
||||
{ role: "forceReload" }, // System-translated
|
||||
{ role: "toggleDevTools" }, // System-translated
|
||||
{ type: "separator" },
|
||||
{ role: "resetZoom" },
|
||||
{ role: "zoomIn" },
|
||||
{ role: "zoomOut" },
|
||||
{ role: "resetZoom" }, // System-translated
|
||||
{ role: "zoomIn" }, // System-translated
|
||||
{ role: "zoomOut" }, // System-translated
|
||||
{ type: "separator" },
|
||||
{ role: "togglefullscreen" },
|
||||
{ role: "togglefullscreen" }, // System-translated
|
||||
],
|
||||
})
|
||||
|
||||
// Configuration menu with presets
|
||||
template.push(buildConfigMenu())
|
||||
template.push(buildConfigMenu(t))
|
||||
|
||||
// Window menu
|
||||
template.push({
|
||||
label: "Window",
|
||||
label: t.window,
|
||||
submenu: [
|
||||
{ role: "minimize" },
|
||||
{ role: "zoom" },
|
||||
{ role: "minimize" }, // System-translated
|
||||
{ role: "zoom" }, // System-translated
|
||||
...(isMac
|
||||
? [
|
||||
{ type: "separator" } as MenuItemConstructorOptions,
|
||||
{ role: "front" } as MenuItemConstructorOptions,
|
||||
{ role: "front" } as MenuItemConstructorOptions, // System-translated
|
||||
]
|
||||
: [{ role: "close" } as MenuItemConstructorOptions]),
|
||||
: [{ role: "close" } as MenuItemConstructorOptions]), // System-translated
|
||||
],
|
||||
})
|
||||
|
||||
// Help menu
|
||||
template.push({
|
||||
label: "Help",
|
||||
label: t.help,
|
||||
submenu: [
|
||||
{
|
||||
label: "Documentation",
|
||||
label: t.documentation,
|
||||
click: async () => {
|
||||
await shell.openExternal(
|
||||
"https://github.com/dayuanjiang/next-ai-draw-io",
|
||||
@@ -160,7 +165,7 @@ function getMenuTemplate(): MenuItemConstructorOptions[] {
|
||||
},
|
||||
},
|
||||
{
|
||||
label: "Report Issue",
|
||||
label: t.reportIssue,
|
||||
click: async () => {
|
||||
await shell.openExternal(
|
||||
"https://github.com/dayuanjiang/next-ai-draw-io/issues",
|
||||
@@ -176,7 +181,9 @@ function getMenuTemplate(): MenuItemConstructorOptions[] {
|
||||
/**
|
||||
* Build the Configuration menu with presets
|
||||
*/
|
||||
function buildConfigMenu(): MenuItemConstructorOptions {
|
||||
function buildConfigMenu(
|
||||
t: ReturnType<typeof getMenuTranslations>,
|
||||
): MenuItemConstructorOptions {
|
||||
const presets = getAllPresets()
|
||||
const currentPresetId = getCurrentPresetId()
|
||||
|
||||
@@ -216,11 +223,11 @@ function buildConfigMenu(): MenuItemConstructorOptions {
|
||||
}))
|
||||
|
||||
return {
|
||||
label: "Configuration",
|
||||
label: t.configuration,
|
||||
submenu: [
|
||||
...(presetItems.length > 0
|
||||
? [
|
||||
{ label: "Switch Preset", enabled: false },
|
||||
{ label: t.switchPreset, enabled: false },
|
||||
{ type: "separator" } as MenuItemConstructorOptions,
|
||||
...presetItems,
|
||||
{ type: "separator" } as MenuItemConstructorOptions,
|
||||
@@ -229,8 +236,8 @@ function buildConfigMenu(): MenuItemConstructorOptions {
|
||||
{
|
||||
label:
|
||||
presetItems.length > 0
|
||||
? "Manage Presets..."
|
||||
: "Add Configuration Preset...",
|
||||
? t.managePresets
|
||||
: t.addConfigurationPreset,
|
||||
click: () => {
|
||||
const win = BrowserWindow.getFocusedWindow()
|
||||
showSettingsWindow(win || undefined)
|
||||
|
||||
@@ -137,6 +137,7 @@ interface ConfigPresetsFile {
|
||||
version: 1
|
||||
currentPresetId: string | null
|
||||
presets: ConfigPreset[]
|
||||
userLocale?: "en" | "zh" | "ja" | "zh-Hant"
|
||||
}
|
||||
|
||||
const CONFIG_FILE_NAME = "config-presets.json"
|
||||
@@ -161,6 +162,7 @@ export function loadPresets(): ConfigPresetsFile {
|
||||
version: 1,
|
||||
currentPresetId: null,
|
||||
presets: [],
|
||||
userLocale: undefined,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -181,6 +183,7 @@ export function loadPresets(): ConfigPresetsFile {
|
||||
version: 1,
|
||||
currentPresetId: null,
|
||||
presets: [],
|
||||
userLocale: undefined,
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -351,6 +354,10 @@ 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 and ollama don't use API keys in the same way
|
||||
bedrock: { apiKey: "", baseUrl: "" },
|
||||
@@ -458,3 +465,23 @@ 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)
|
||||
}
|
||||
|
||||
@@ -4,6 +4,7 @@ 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"
|
||||
|
||||
@@ -24,6 +25,9 @@ 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)) {
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
import { app, BrowserWindow, dialog, ipcMain } from "electron"
|
||||
import { rebuildAppMenu } from "./app-menu"
|
||||
import {
|
||||
applyPresetToEnv,
|
||||
type ConfigPreset,
|
||||
@@ -7,10 +8,18 @@ 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
|
||||
@@ -209,4 +218,68 @@ 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",
|
||||
}
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
211
electron/main/menu-i18n.ts
Normal file
211
electron/main/menu-i18n.ts
Normal file
@@ -0,0 +1,211 @@
|
||||
/**
|
||||
* 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)
|
||||
}
|
||||
@@ -69,6 +69,8 @@ export async function startNextServer(): Promise<string> {
|
||||
NODE_ENV: "production",
|
||||
PORT: String(port),
|
||||
HOSTNAME: "localhost",
|
||||
// Enable Node.js built-in proxy support for fetch (Node.js 24+)
|
||||
NODE_USE_ENV_PROXY: "1",
|
||||
}
|
||||
|
||||
// Set cache directory to a writable location (user's app data folder)
|
||||
@@ -85,6 +87,13 @@ 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, [], {
|
||||
@@ -114,13 +123,41 @@ export async function startNextServer(): Promise<string> {
|
||||
}
|
||||
|
||||
/**
|
||||
* Stop the Next.js server process
|
||||
* Stop the Next.js server process and wait for it to exit
|
||||
*/
|
||||
export function stopNextServer(): void {
|
||||
export async function stopNextServer(): Promise<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))
|
||||
}
|
||||
}
|
||||
|
||||
@@ -150,8 +187,8 @@ async function waitForServerStop(timeout = 5000): Promise<void> {
|
||||
export async function restartNextServer(): Promise<string> {
|
||||
console.log("Restarting Next.js server...")
|
||||
|
||||
// Stop the current server
|
||||
stopNextServer()
|
||||
// Stop the current server and wait for it to exit
|
||||
await stopNextServer()
|
||||
|
||||
// Wait for the port to be released
|
||||
await waitForServerStop()
|
||||
|
||||
75
electron/main/proxy-manager.ts
Normal file
75
electron/main/proxy-manager.ts
Normal file
@@ -0,0 +1,75 @@
|
||||
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 || "",
|
||||
}
|
||||
}
|
||||
@@ -21,4 +21,14 @@ 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),
|
||||
})
|
||||
|
||||
@@ -55,6 +55,7 @@
|
||||
<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>
|
||||
|
||||
@@ -288,6 +288,7 @@ function getProviderLabel(provider) {
|
||||
openrouter: "OpenRouter",
|
||||
deepseek: "DeepSeek",
|
||||
siliconflow: "SiliconFlow",
|
||||
modelscope: "ModelScope",
|
||||
ollama: "Ollama",
|
||||
}
|
||||
return labels[provider] || provider
|
||||
|
||||
24
env.example
24
env.example
@@ -1,6 +1,6 @@
|
||||
# AI Provider Configuration
|
||||
# AI_PROVIDER: Which provider to use
|
||||
# Options: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, gateway
|
||||
# Options: bedrock, openai, anthropic, google, vertexai, azure, ollama, openrouter, deepseek, siliconflow, gateway
|
||||
# Default: bedrock
|
||||
AI_PROVIDER=bedrock
|
||||
|
||||
@@ -40,6 +40,14 @@ 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}
|
||||
@@ -72,6 +80,10 @@ 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
|
||||
@@ -89,6 +101,11 @@ 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)
|
||||
@@ -112,3 +129,8 @@ 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
|
||||
|
||||
@@ -1,4 +1,12 @@
|
||||
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"
|
||||
@@ -29,11 +37,13 @@ type AddToolOutputParams = AddToolOutputSuccess | AddToolOutputError
|
||||
|
||||
type AddToolOutputFn = (params: AddToolOutputParams) => void
|
||||
|
||||
interface DiagramOperation {
|
||||
operation: "update" | "add" | "delete"
|
||||
cell_id: string
|
||||
new_xml?: string
|
||||
}
|
||||
const MAX_VALIDATION_RETRIES = 3
|
||||
|
||||
// Type for the validation function passed from useValidateDiagram hook
|
||||
type ValidateDiagramFn = (
|
||||
imageData: string,
|
||||
sessionId?: string,
|
||||
) => Promise<ValidationResult>
|
||||
|
||||
interface UseDiagramToolHandlersParams {
|
||||
partialXmlRef: MutableRefObject<string>
|
||||
@@ -42,6 +52,14 @@ 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
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -58,7 +76,34 @@ 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,
|
||||
@@ -160,7 +205,159 @@ ${finalXml}
|
||||
// Success - diagram will be rendered by chat-message-display
|
||||
if (DEBUG) {
|
||||
console.log(
|
||||
"[display_diagram] Success! Adding tool output with state: output-available",
|
||||
"[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",
|
||||
)
|
||||
}
|
||||
addToolOutput({
|
||||
|
||||
@@ -1,6 +1,8 @@
|
||||
"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,
|
||||
@@ -132,14 +134,56 @@ 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 config on mount
|
||||
// Load client 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) {
|
||||
@@ -148,9 +192,33 @@ export function useModelConfig(): UseModelConfigReturn {
|
||||
}, [config, isLoaded])
|
||||
|
||||
// Derived state
|
||||
const models = flattenModels(config)
|
||||
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 selectedModel = config.selectedModelId
|
||||
? findModelById(config, config.selectedModelId)
|
||||
? models.find((m) => m.id === config.selectedModelId)
|
||||
: undefined
|
||||
|
||||
// Actions
|
||||
@@ -282,7 +350,7 @@ export function useModelConfig(): UseModelConfigReturn {
|
||||
|
||||
return {
|
||||
config,
|
||||
isLoaded,
|
||||
isLoaded: isLoaded && serverLoaded,
|
||||
models,
|
||||
selectedModel,
|
||||
selectedModelId: config.selectedModelId,
|
||||
@@ -314,6 +382,10 @@ 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: "",
|
||||
@@ -325,6 +397,8 @@ export function getSelectedAIConfig(): {
|
||||
awsSecretAccessKey: "",
|
||||
awsRegion: "",
|
||||
awsSessionToken: "",
|
||||
selectedModelId: "",
|
||||
vertexApiKey: "",
|
||||
}
|
||||
|
||||
if (typeof window === "undefined") return empty
|
||||
@@ -347,6 +421,8 @@ export function getSelectedAIConfig(): {
|
||||
awsSecretAccessKey: "",
|
||||
awsRegion: "",
|
||||
awsSessionToken: "",
|
||||
selectedModelId: "",
|
||||
vertexApiKey: "",
|
||||
}
|
||||
}
|
||||
|
||||
@@ -357,12 +433,32 @@ export function getSelectedAIConfig(): {
|
||||
return { ...empty, accessCode }
|
||||
}
|
||||
|
||||
// No selected model = use server default
|
||||
// No selected model = use server default (AI_PROVIDER/AI_MODEL/env auto-detect)
|
||||
if (!config.selectedModelId) {
|
||||
return { ...empty, accessCode }
|
||||
}
|
||||
|
||||
// Find selected model
|
||||
// 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
|
||||
const model = findModelById(config, config.selectedModelId)
|
||||
if (!model) {
|
||||
return { ...empty, accessCode }
|
||||
@@ -379,5 +475,8 @@ export function getSelectedAIConfig(): {
|
||||
awsSecretAccessKey: model.awsSecretAccessKey || "",
|
||||
awsRegion: model.awsRegion || "",
|
||||
awsSessionToken: model.awsSessionToken || "",
|
||||
selectedModelId: config.selectedModelId || "",
|
||||
// Vertex AI credentials (Express Mode)
|
||||
vertexApiKey: model.vertexApiKey || "",
|
||||
}
|
||||
}
|
||||
|
||||
136
hooks/use-validate-diagram.ts
Normal file
136
hooks/use-validate-diagram.ts
Normal file
@@ -0,0 +1,136 @@
|
||||
"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,
|
||||
}
|
||||
}
|
||||
@@ -1,26 +0,0 @@
|
||||
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) || "",
|
||||
}
|
||||
}
|
||||
@@ -4,25 +4,14 @@ 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 =
|
||||
| "bedrock"
|
||||
| "openai"
|
||||
| "anthropic"
|
||||
| "google"
|
||||
| "azure"
|
||||
| "ollama"
|
||||
| "openrouter"
|
||||
| "deepseek"
|
||||
| "siliconflow"
|
||||
| "sglang"
|
||||
| "gateway"
|
||||
| "edgeone"
|
||||
| "doubao"
|
||||
export type { ProviderName }
|
||||
|
||||
interface ModelConfig {
|
||||
model: any
|
||||
@@ -41,15 +30,21 @@ 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 names for server models (allows multiple API keys per provider)
|
||||
apiKeyEnv?: string
|
||||
baseUrlEnv?: string
|
||||
}
|
||||
|
||||
// Providers that can be used with client-provided API keys
|
||||
// Providers that can be selected from client settings
|
||||
const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
|
||||
"openai",
|
||||
"anthropic",
|
||||
"google",
|
||||
"vertexai",
|
||||
"azure",
|
||||
"bedrock",
|
||||
"openrouter",
|
||||
@@ -58,7 +53,9 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
|
||||
"sglang",
|
||||
"gateway",
|
||||
"edgeone",
|
||||
"ollama",
|
||||
"doubao",
|
||||
"modelscope",
|
||||
]
|
||||
|
||||
// Bedrock provider options for Anthropic beta features
|
||||
@@ -73,6 +70,62 @@ 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.
|
||||
*
|
||||
* Priority:
|
||||
* 1. User-provided API key (overrides.apiKey)
|
||||
* 2. Custom env var from ai-models.json (overrides.apiKeyEnv)
|
||||
* 3. Default provider env var (defaultEnvVar)
|
||||
*/
|
||||
function resolveApiKey(
|
||||
overrides: ClientOverrides | undefined,
|
||||
defaultEnvVar: string,
|
||||
): string | undefined {
|
||||
if (overrides?.apiKey) return overrides.apiKey
|
||||
if (overrides?.apiKeyEnv) 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
|
||||
*/
|
||||
@@ -107,6 +160,8 @@ 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)
|
||||
@@ -271,7 +326,46 @@ 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
|
||||
@@ -353,6 +447,7 @@ 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
|
||||
@@ -372,6 +467,7 @@ 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",
|
||||
@@ -381,6 +477,7 @@ 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",
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -418,9 +515,15 @@ 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 (from ai-models.json apiKeyEnv)
|
||||
*/
|
||||
function validateProviderCredentials(provider: ProviderName): void {
|
||||
const requiredVar = PROVIDER_ENV_VARS[provider]
|
||||
function validateProviderCredentials(
|
||||
provider: ProviderName,
|
||||
customApiKeyEnv?: string,
|
||||
): void {
|
||||
// Use custom env var name if provided, otherwise use default
|
||||
const requiredVar = customApiKeyEnv || PROVIDER_ENV_VARS[provider]
|
||||
if (requiredVar && !process.env[requiredVar]) {
|
||||
throw new Error(
|
||||
`${requiredVar} environment variable is required for ${provider} provider. ` +
|
||||
@@ -445,7 +548,7 @@ function validateProviderCredentials(provider: ProviderName): void {
|
||||
* 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)
|
||||
* - AI_PROVIDER: The provider to use (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, modelscope)
|
||||
* - AI_MODEL: The model ID/name for the selected provider
|
||||
*
|
||||
* Provider-specific env vars:
|
||||
@@ -460,19 +563,23 @@ function validateProviderCredentials(provider: ProviderName): void {
|
||||
* - 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.com/v1)
|
||||
* - SILICONFLOW_BASE_URL: SiliconFlow endpoint (optional, defaults to https://api.siliconflow.cn/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 provider doesn't require API key (uses Edge AI runtime)
|
||||
// Exception: EdgeOne and Ollama providers don't require API keys
|
||||
if (
|
||||
overrides?.baseUrl &&
|
||||
!overrides?.apiKey &&
|
||||
overrides?.provider !== "edgeone"
|
||||
!(overrides?.provider === "vertexai" && overrides?.vertexApiKey) &&
|
||||
overrides?.provider !== "edgeone" &&
|
||||
overrides?.provider !== "ollama"
|
||||
) {
|
||||
throw new Error(
|
||||
`API key is required when using a custom base URL. ` +
|
||||
@@ -481,7 +588,11 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
}
|
||||
|
||||
// Check if client is providing their own provider override
|
||||
const isClientOverride = !!(overrides?.provider && overrides?.apiKey)
|
||||
const isClientOverride = !!(
|
||||
overrides?.provider &&
|
||||
(overrides?.apiKey ||
|
||||
(overrides?.provider === "vertexai" && overrides?.vertexApiKey))
|
||||
)
|
||||
|
||||
// Use client override if provided, otherwise fall back to env vars
|
||||
const modelId = overrides?.modelId || process.env.AI_MODEL
|
||||
@@ -537,6 +648,7 @@ 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 {
|
||||
@@ -550,7 +662,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
|
||||
// Only validate server credentials if client isn't providing their own API key
|
||||
if (!isClientOverride) {
|
||||
validateProviderCredentials(provider)
|
||||
validateProviderCredentials(provider, overrides?.apiKeyEnv)
|
||||
}
|
||||
|
||||
console.log(`[AI Provider] Initializing ${provider} with model: ${modelId}`)
|
||||
@@ -573,8 +685,8 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
const bedrockProvider = hasClientCredentials
|
||||
? createAmazonBedrock({
|
||||
region: bedrockRegion,
|
||||
accessKeyId: overrides.awsAccessKeyId!,
|
||||
secretAccessKey: overrides.awsSecretAccessKey!,
|
||||
accessKeyId: overrides.awsAccessKeyId as string,
|
||||
secretAccessKey: overrides.awsSecretAccessKey as string,
|
||||
...(overrides?.awsSessionToken && {
|
||||
sessionToken: overrides.awsSessionToken,
|
||||
}),
|
||||
@@ -600,8 +712,16 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
}
|
||||
|
||||
case "openai": {
|
||||
const apiKey = overrides?.apiKey || process.env.OPENAI_API_KEY
|
||||
const baseURL = overrides?.baseUrl || process.env.OPENAI_BASE_URL
|
||||
const apiKey = resolveApiKey(overrides, "OPENAI_API_KEY")
|
||||
const serverBaseUrl = resolveBaseUrlEnv(
|
||||
overrides,
|
||||
"OPENAI_BASE_URL",
|
||||
)
|
||||
const baseURL = resolveBaseURL(
|
||||
overrides?.apiKey,
|
||||
overrides?.baseUrl,
|
||||
serverBaseUrl,
|
||||
)
|
||||
if (baseURL) {
|
||||
// Custom base URL = third-party proxy, use Chat Completions API
|
||||
// for compatibility (most proxies don't support /responses endpoint)
|
||||
@@ -619,11 +739,17 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
}
|
||||
|
||||
case "anthropic": {
|
||||
const apiKey = overrides?.apiKey || process.env.ANTHROPIC_API_KEY
|
||||
const baseURL =
|
||||
overrides?.baseUrl ||
|
||||
process.env.ANTHROPIC_BASE_URL ||
|
||||
"https://api.anthropic.com/v1"
|
||||
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 customProvider = createAnthropic({
|
||||
apiKey,
|
||||
baseURL,
|
||||
@@ -636,9 +762,19 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
}
|
||||
|
||||
case "google": {
|
||||
const apiKey =
|
||||
overrides?.apiKey || process.env.GOOGLE_GENERATIVE_AI_API_KEY
|
||||
const baseURL = overrides?.baseUrl || process.env.GOOGLE_BASE_URL
|
||||
const apiKey = resolveApiKey(
|
||||
overrides,
|
||||
"GOOGLE_GENERATIVE_AI_API_KEY",
|
||||
)
|
||||
const serverBaseUrl = resolveBaseUrlEnv(
|
||||
overrides,
|
||||
"GOOGLE_BASE_URL",
|
||||
)
|
||||
const baseURL = resolveBaseURL(
|
||||
overrides?.apiKey,
|
||||
overrides?.baseUrl,
|
||||
serverBaseUrl,
|
||||
)
|
||||
if (baseURL || overrides?.apiKey) {
|
||||
const customGoogle = createGoogleGenerativeAI({
|
||||
apiKey,
|
||||
@@ -650,11 +786,42 @@ 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 = overrides?.apiKey || process.env.AZURE_API_KEY
|
||||
const baseURL = overrides?.baseUrl || process.env.AZURE_BASE_URL
|
||||
const resourceName = process.env.AZURE_RESOURCE_NAME
|
||||
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
|
||||
// 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) {
|
||||
@@ -671,21 +838,28 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
break
|
||||
}
|
||||
|
||||
case "ollama":
|
||||
if (process.env.OLLAMA_BASE_URL) {
|
||||
const customOllama = createOllama({
|
||||
baseURL: process.env.OLLAMA_BASE_URL,
|
||||
})
|
||||
case "ollama": {
|
||||
const baseURL = overrides?.baseUrl || process.env.OLLAMA_BASE_URL
|
||||
if (baseURL) {
|
||||
const customOllama = createOllama({ baseURL })
|
||||
model = customOllama(modelId)
|
||||
} else {
|
||||
model = ollama(modelId)
|
||||
}
|
||||
break
|
||||
}
|
||||
|
||||
case "openrouter": {
|
||||
const apiKey = overrides?.apiKey || process.env.OPENROUTER_API_KEY
|
||||
const baseURL =
|
||||
overrides?.baseUrl || process.env.OPENROUTER_BASE_URL
|
||||
const apiKey = resolveApiKey(overrides, "OPENROUTER_API_KEY")
|
||||
const serverBaseUrl = resolveBaseUrlEnv(
|
||||
overrides,
|
||||
"OPENROUTER_BASE_URL",
|
||||
)
|
||||
const baseURL = resolveBaseURL(
|
||||
overrides?.apiKey,
|
||||
overrides?.baseUrl,
|
||||
serverBaseUrl,
|
||||
)
|
||||
const openrouter = createOpenRouter({
|
||||
apiKey,
|
||||
...(baseURL && { baseURL }),
|
||||
@@ -695,8 +869,16 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
}
|
||||
|
||||
case "deepseek": {
|
||||
const apiKey = overrides?.apiKey || process.env.DEEPSEEK_API_KEY
|
||||
const baseURL = overrides?.baseUrl || process.env.DEEPSEEK_BASE_URL
|
||||
const apiKey = resolveApiKey(overrides, "DEEPSEEK_API_KEY")
|
||||
const serverBaseUrl = resolveBaseUrlEnv(
|
||||
overrides,
|
||||
"DEEPSEEK_BASE_URL",
|
||||
)
|
||||
const baseURL = resolveBaseURL(
|
||||
overrides?.apiKey,
|
||||
overrides?.baseUrl,
|
||||
serverBaseUrl,
|
||||
)
|
||||
if (baseURL || overrides?.apiKey) {
|
||||
const customDeepSeek = createDeepSeek({
|
||||
apiKey,
|
||||
@@ -710,11 +892,17 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
}
|
||||
|
||||
case "siliconflow": {
|
||||
const apiKey = overrides?.apiKey || process.env.SILICONFLOW_API_KEY
|
||||
const baseURL =
|
||||
overrides?.baseUrl ||
|
||||
process.env.SILICONFLOW_BASE_URL ||
|
||||
"https://api.siliconflow.com/v1"
|
||||
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 siliconflowProvider = createOpenAI({
|
||||
apiKey,
|
||||
baseURL,
|
||||
@@ -724,12 +912,20 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
}
|
||||
|
||||
case "sglang": {
|
||||
const apiKey = overrides?.apiKey || process.env.SGLANG_API_KEY
|
||||
const baseURL = overrides?.baseUrl || process.env.SGLANG_BASE_URL
|
||||
const apiKey = resolveApiKey(overrides, "SGLANG_API_KEY")
|
||||
const serverBaseUrl = resolveBaseUrlEnv(
|
||||
overrides,
|
||||
"SGLANG_BASE_URL",
|
||||
)
|
||||
const baseURL = resolveBaseURL(
|
||||
overrides?.apiKey,
|
||||
overrides?.baseUrl,
|
||||
serverBaseUrl,
|
||||
)
|
||||
|
||||
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)
|
||||
@@ -833,9 +1029,16 @@ 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 = overrides?.apiKey || process.env.AI_GATEWAY_API_KEY
|
||||
const baseURL =
|
||||
overrides?.baseUrl || process.env.AI_GATEWAY_BASE_URL
|
||||
const apiKey = resolveApiKey(overrides, "AI_GATEWAY_API_KEY")
|
||||
const serverBaseUrl = resolveBaseUrlEnv(
|
||||
overrides,
|
||||
"AI_GATEWAY_BASE_URL",
|
||||
)
|
||||
const baseURL = resolveBaseURL(
|
||||
overrides?.apiKey,
|
||||
overrides?.baseUrl,
|
||||
serverBaseUrl,
|
||||
)
|
||||
// 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) {
|
||||
@@ -866,22 +1069,61 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
}
|
||||
|
||||
case "doubao": {
|
||||
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({
|
||||
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({
|
||||
apiKey,
|
||||
baseURL,
|
||||
})
|
||||
model = doubaoProvider(modelId)
|
||||
model = modelscopeProvider.chat(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`,
|
||||
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao, modelscope`,
|
||||
)
|
||||
}
|
||||
|
||||
@@ -937,3 +1179,27 @@ export function supportsImageInput(modelId: string): boolean {
|
||||
// Default: assume model supports images
|
||||
return true
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the AI model for diagram validation.
|
||||
* Uses VALIDATION_MODEL env var if set, otherwise falls back to AI_MODEL.
|
||||
* Throws if the model doesn't support image input.
|
||||
*/
|
||||
export function getValidationModel(): ReturnType<typeof getAIModel>["model"] {
|
||||
const modelId = process.env.VALIDATION_MODEL || process.env.AI_MODEL
|
||||
|
||||
if (!modelId) {
|
||||
throw new Error(
|
||||
"No validation model configured. Set VALIDATION_MODEL or AI_MODEL.",
|
||||
)
|
||||
}
|
||||
|
||||
if (!supportsImageInput(modelId)) {
|
||||
throw new Error(
|
||||
`Validation requires a vision-capable model. Model "${modelId}" does not support image input.`,
|
||||
)
|
||||
}
|
||||
|
||||
const { model } = getAIModel({ modelId })
|
||||
return model
|
||||
}
|
||||
|
||||
89
lib/chat-helpers.ts
Normal file
89
lib/chat-helpers.ts
Normal file
@@ -0,0 +1,89 @@
|
||||
// Shared helper functions for chat route
|
||||
// Exported for testing
|
||||
|
||||
// File upload limits (must match client-side)
|
||||
export const MAX_FILE_SIZE = 2 * 1024 * 1024 // 2MB
|
||||
export const MAX_FILES = 5
|
||||
|
||||
// Helper function to validate file parts in messages
|
||||
export function validateFileParts(messages: any[]): {
|
||||
valid: boolean
|
||||
error?: string
|
||||
} {
|
||||
const lastMessage = messages[messages.length - 1]
|
||||
const fileParts =
|
||||
lastMessage?.parts?.filter((p: any) => p.type === "file") || []
|
||||
|
||||
if (fileParts.length > MAX_FILES) {
|
||||
return {
|
||||
valid: false,
|
||||
error: `Too many files. Maximum ${MAX_FILES} allowed.`,
|
||||
}
|
||||
}
|
||||
|
||||
for (const filePart of fileParts) {
|
||||
// Data URLs format: data:image/png;base64,<data>
|
||||
// Base64 increases size by ~33%, so we check the decoded size
|
||||
if (filePart.url?.startsWith("data:")) {
|
||||
const base64Data = filePart.url.split(",")[1]
|
||||
if (base64Data) {
|
||||
const sizeInBytes = Math.ceil((base64Data.length * 3) / 4)
|
||||
if (sizeInBytes > MAX_FILE_SIZE) {
|
||||
return {
|
||||
valid: false,
|
||||
error: `File exceeds ${MAX_FILE_SIZE / 1024 / 1024}MB limit.`,
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return { valid: true }
|
||||
}
|
||||
|
||||
// Helper function to check if diagram is minimal/empty
|
||||
export function isMinimalDiagram(xml: string): boolean {
|
||||
const stripped = xml.replace(/\s/g, "")
|
||||
return !stripped.includes('id="2"')
|
||||
}
|
||||
|
||||
// Helper function to replace historical tool call XML with placeholders
|
||||
// This reduces token usage and forces LLM to rely on the current diagram XML (source of truth)
|
||||
// Also fixes invalid/undefined inputs from interrupted streaming
|
||||
export function replaceHistoricalToolInputs(messages: any[]): any[] {
|
||||
return messages.map((msg) => {
|
||||
if (msg.role !== "assistant" || !Array.isArray(msg.content)) {
|
||||
return msg
|
||||
}
|
||||
const replacedContent = msg.content
|
||||
.map((part: any) => {
|
||||
if (part.type === "tool-call") {
|
||||
const toolName = part.toolName
|
||||
// Fix invalid/undefined inputs from interrupted streaming
|
||||
if (
|
||||
!part.input ||
|
||||
typeof part.input !== "object" ||
|
||||
Object.keys(part.input).length === 0
|
||||
) {
|
||||
// Skip tool calls with invalid inputs entirely
|
||||
return null
|
||||
}
|
||||
if (
|
||||
toolName === "display_diagram" ||
|
||||
toolName === "edit_diagram"
|
||||
) {
|
||||
return {
|
||||
...part,
|
||||
input: {
|
||||
placeholder:
|
||||
"[XML content replaced - see current diagram XML in system context]",
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
return part
|
||||
})
|
||||
.filter(Boolean) // Remove null entries (invalid tool calls)
|
||||
return { ...msg, content: replacedContent }
|
||||
})
|
||||
}
|
||||
64
lib/diagram-validator.ts
Normal file
64
lib/diagram-validator.ts
Normal file
@@ -0,0 +1,64 @@
|
||||
/**
|
||||
* 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"],
|
||||
locales: ["en", "zh", "ja", "zh-Hant"],
|
||||
} as const
|
||||
|
||||
export type Locale = (typeof i18n)["locales"][number]
|
||||
|
||||
@@ -6,6 +6,8 @@ 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"]>>
|
||||
|
||||
@@ -28,7 +28,8 @@
|
||||
"azure": "Azure OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"deepseek": "DeepSeek",
|
||||
"siliconflow": "SiliconFlow"
|
||||
"siliconflow": "SiliconFlow",
|
||||
"modelscope": "ModelScope"
|
||||
},
|
||||
"chat": {
|
||||
"placeholder": "Describe your diagram or upload a file...",
|
||||
@@ -51,7 +52,8 @@
|
||||
"badResponse": "Bad response",
|
||||
"clickToEdit": "Click to edit",
|
||||
"editMessage": "Edit message",
|
||||
"saveAndSubmit": "Save & Submit"
|
||||
"saveAndSubmit": "Save & Submit",
|
||||
"ExtractURL": "Extract from URL"
|
||||
},
|
||||
"examples": {
|
||||
"title": "Create diagrams with AI",
|
||||
@@ -75,6 +77,8 @@
|
||||
"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.",
|
||||
@@ -98,14 +102,26 @@
|
||||
"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"
|
||||
"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"
|
||||
},
|
||||
"save": {
|
||||
"title": "Save Diagram",
|
||||
@@ -186,6 +202,15 @@
|
||||
"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",
|
||||
@@ -229,6 +254,24 @@
|
||||
"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",
|
||||
@@ -261,6 +304,7 @@
|
||||
"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...",
|
||||
@@ -286,10 +330,13 @@
|
||||
"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"
|
||||
"unvalidatedModelWarning": "This model has not been validated",
|
||||
"serverDefaultModel": "Server default model"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -28,7 +28,8 @@
|
||||
"azure": "Azure OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"deepseek": "DeepSeek",
|
||||
"siliconflow": "SiliconFlow"
|
||||
"siliconflow": "SiliconFlow",
|
||||
"modelscope": "ModelScope"
|
||||
},
|
||||
"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...",
|
||||
@@ -51,7 +52,8 @@
|
||||
"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"
|
||||
"saveAndSubmit": "保存して送信",
|
||||
"ExtractURL": "URLから抽出"
|
||||
},
|
||||
"examples": {
|
||||
"title": "AI でダイアグラムを作成",
|
||||
@@ -75,6 +77,8 @@
|
||||
"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。",
|
||||
@@ -98,14 +102,26 @@
|
||||
"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"
|
||||
"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"
|
||||
},
|
||||
"save": {
|
||||
"title": "ダイアグラムを保存",
|
||||
@@ -186,6 +202,15 @@
|
||||
"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",
|
||||
@@ -229,6 +254,24 @@
|
||||
"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",
|
||||
@@ -261,6 +304,7 @@
|
||||
"enterSecretKey": "シークレットアクセスキーを入力",
|
||||
"baseUrl": "ベース URL",
|
||||
"optional": "(オプション)",
|
||||
"baseUrlWithExample": "ベース URL(オプション、例: {example})",
|
||||
"customEndpoint": "カスタムエンドポイント URL",
|
||||
"models": "モデル",
|
||||
"customModelId": "カスタムモデル ID...",
|
||||
@@ -286,10 +330,13 @@
|
||||
"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"
|
||||
"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"
|
||||
}
|
||||
}
|
||||
|
||||
342
lib/i18n/dictionaries/zh-Hant.json
Normal file
342
lib/i18n/dictionaries/zh-Hant.json
Normal file
@@ -0,0 +1,342 @@
|
||||
{
|
||||
"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",
|
||||
"sending": "傳送中...",
|
||||
"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"
|
||||
}
|
||||
}
|
||||
@@ -28,7 +28,8 @@
|
||||
"azure": "Azure OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"deepseek": "DeepSeek",
|
||||
"siliconflow": "SiliconFlow"
|
||||
"siliconflow": "SiliconFlow",
|
||||
"modelscope": "ModelScope"
|
||||
},
|
||||
"chat": {
|
||||
"placeholder": "描述您的图表或上传文件...",
|
||||
@@ -51,7 +52,8 @@
|
||||
"badResponse": "无帮助",
|
||||
"clickToEdit": "点击编辑",
|
||||
"editMessage": "编辑消息",
|
||||
"saveAndSubmit": "保存并提交"
|
||||
"saveAndSubmit": "保存并提交",
|
||||
"ExtractURL": "从 URL 提取"
|
||||
},
|
||||
"examples": {
|
||||
"title": "用 AI 创建图表",
|
||||
@@ -75,6 +77,8 @@
|
||||
"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。",
|
||||
@@ -98,14 +102,26 @@
|
||||
"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"
|
||||
"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"
|
||||
},
|
||||
"save": {
|
||||
"title": "保存图表",
|
||||
@@ -186,6 +202,15 @@
|
||||
"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",
|
||||
@@ -229,6 +254,24 @@
|
||||
"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",
|
||||
@@ -261,6 +304,7 @@
|
||||
"enterSecretKey": "输入您的 Secret Key",
|
||||
"baseUrl": "基础 URL",
|
||||
"optional": "(可选)",
|
||||
"baseUrlWithExample": "基础 URL(可选,例如 {example})",
|
||||
"customEndpoint": "自定义端点 URL",
|
||||
"models": "模型",
|
||||
"customModelId": "自定义模型 ID...",
|
||||
@@ -286,10 +330,13 @@
|
||||
"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"
|
||||
"unvalidatedModelWarning": "此模型尚未验证",
|
||||
"serverDefaultModel": "服务器默认模型"
|
||||
}
|
||||
}
|
||||
|
||||
151
lib/server-model-config.ts
Normal file
151
lib/server-model-config.ts
Normal file
@@ -0,0 +1,151 @@
|
||||
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 for API key
|
||||
// e.g., "OPENAI_API_KEY_TEAM_A" instead of default "OPENAI_API_KEY"
|
||||
apiKeyEnv: z.string().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 names for credentials (optional)
|
||||
apiKeyEnv?: 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
|
||||
}
|
||||
63
lib/ssrf-protection.ts
Normal file
63
lib/ssrf-protection.ts
Normal file
@@ -0,0 +1,63 @@
|
||||
/**
|
||||
* 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"
|
||||
@@ -12,7 +12,6 @@ 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",
|
||||
@@ -22,4 +21,10 @@ 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
|
||||
|
||||
@@ -11,6 +11,7 @@ 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.
|
||||
|
||||
@@ -1,39 +0,0 @@
|
||||
/**
|
||||
* 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,
|
||||
}
|
||||
}
|
||||
@@ -4,8 +4,10 @@ export type ProviderName =
|
||||
| "openai"
|
||||
| "anthropic"
|
||||
| "google"
|
||||
| "vertexai"
|
||||
| "azure"
|
||||
| "bedrock"
|
||||
| "ollama"
|
||||
| "openrouter"
|
||||
| "deepseek"
|
||||
| "siliconflow"
|
||||
@@ -13,6 +15,7 @@ export type ProviderName =
|
||||
| "gateway"
|
||||
| "edgeone"
|
||||
| "doubao"
|
||||
| "modelscope"
|
||||
|
||||
// Individual model configuration
|
||||
export interface ModelConfig {
|
||||
@@ -34,6 +37,9 @@ 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
|
||||
}
|
||||
@@ -48,7 +54,7 @@ export interface MultiModelConfig {
|
||||
|
||||
// Flattened model for dropdown display
|
||||
export interface FlattenedModel {
|
||||
id: string // Model config UUID
|
||||
id: string // Model config UUID or synthetic server ID (e.g., "server:provider:modelId")
|
||||
modelId: string // Actual model ID
|
||||
provider: ProviderName
|
||||
providerLabel: string // Provider display name
|
||||
@@ -59,7 +65,17 @@ 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 names for server models (allows multiple API keys per provider)
|
||||
apiKeyEnv?: string
|
||||
baseUrlEnv?: string
|
||||
}
|
||||
|
||||
// Provider metadata
|
||||
@@ -67,34 +83,61 @@ export const PROVIDER_INFO: Record<
|
||||
ProviderName,
|
||||
{ label: string; defaultBaseUrl?: string }
|
||||
> = {
|
||||
openai: { label: "OpenAI" },
|
||||
openai: {
|
||||
label: "OpenAI",
|
||||
defaultBaseUrl: "https://api.openai.com/v1",
|
||||
},
|
||||
anthropic: {
|
||||
label: "Anthropic",
|
||||
defaultBaseUrl: "https://api.anthropic.com/v1",
|
||||
},
|
||||
google: { label: "Google" },
|
||||
azure: { label: "Azure OpenAI" },
|
||||
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",
|
||||
},
|
||||
bedrock: { label: "Amazon Bedrock" },
|
||||
openrouter: { label: "OpenRouter" },
|
||||
deepseek: { label: "DeepSeek" },
|
||||
ollama: {
|
||||
label: "Ollama",
|
||||
defaultBaseUrl: "http://localhost:11434",
|
||||
},
|
||||
openrouter: {
|
||||
label: "OpenRouter",
|
||||
defaultBaseUrl: "https://openrouter.ai/api/v1",
|
||||
},
|
||||
deepseek: {
|
||||
label: "DeepSeek",
|
||||
defaultBaseUrl: "https://api.deepseek.com/v1",
|
||||
},
|
||||
siliconflow: {
|
||||
label: "SiliconFlow",
|
||||
defaultBaseUrl: "https://api.siliconflow.com/v1",
|
||||
defaultBaseUrl: "https://api.siliconflow.cn/v1",
|
||||
},
|
||||
sglang: {
|
||||
label: "SGLang",
|
||||
defaultBaseUrl: "http://127.0.0.1:8000/v1",
|
||||
},
|
||||
gateway: { label: "AI Gateway" },
|
||||
gateway: {
|
||||
label: "AI Gateway",
|
||||
defaultBaseUrl: "https://ai-gateway.vercel.sh/v1/ai",
|
||||
},
|
||||
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: Record<ProviderName, string[]> = {
|
||||
export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
|
||||
openai: [
|
||||
"gpt-5.2-pro",
|
||||
"gpt-5.2-chat-latest",
|
||||
@@ -147,6 +190,17 @@ export const SUGGESTED_MODELS: 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
|
||||
@@ -231,6 +285,17 @@ export const SUGGESTED_MODELS: 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",
|
||||
// DeepSeek
|
||||
"deepseek-ai/DeepSeek-R1-0528",
|
||||
"deepseek-ai/DeepSeek-V3.2",
|
||||
],
|
||||
}
|
||||
|
||||
// Helper to generate UUID
|
||||
@@ -267,7 +332,7 @@ export function createModelConfig(modelId: string): ModelConfig {
|
||||
}
|
||||
}
|
||||
|
||||
// Get all models as flattened list for dropdown
|
||||
// Get all models as flattened list for dropdown (user-defined only)
|
||||
export function flattenModels(config: MultiModelConfig): FlattenedModel[] {
|
||||
const models: FlattenedModel[] = []
|
||||
|
||||
@@ -289,7 +354,12 @@ 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,
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
50
lib/url-utils.ts
Normal file
50
lib/url-utils.ts
Normal file
@@ -0,0 +1,50 @@
|
||||
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,
|
||||
}
|
||||
}
|
||||
@@ -1,6 +1,9 @@
|
||||
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))
|
||||
@@ -473,12 +476,6 @@ 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
|
||||
|
||||
22
lib/validation-prompts.ts
Normal file
22
lib/validation-prompts.ts
Normal file
@@ -0,0 +1,22 @@
|
||||
/**
|
||||
* 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`
|
||||
38
lib/validation-schema.ts
Normal file
38
lib/validation-schema.ts
Normal file
@@ -0,0 +1,38 @@
|
||||
/**
|
||||
* 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]
|
||||
6269
package-lock.json
generated
6269
package-lock.json
generated
File diff suppressed because it is too large
Load Diff
30
package.json
30
package.json
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "next-ai-draw-io",
|
||||
"version": "0.4.9",
|
||||
"version": "0.4.12",
|
||||
"license": "Apache-2.0",
|
||||
"private": true,
|
||||
"main": "dist-electron/main/index.js",
|
||||
@@ -24,8 +24,11 @@
|
||||
"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"
|
||||
"dist:all": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --mac --win --linux",
|
||||
"test": "vitest",
|
||||
"test:e2e": "playwright test"
|
||||
},
|
||||
"dependencies": {
|
||||
"@ai-sdk/amazon-bedrock": "^4.0.1",
|
||||
@@ -34,18 +37,21 @@
|
||||
"@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": "^0.7.2",
|
||||
"@langfuse/client": "^4.4.9",
|
||||
"@langfuse/otel": "^4.4.4",
|
||||
"@langfuse/tracing": "^4.4.9",
|
||||
"@next/third-parties": "^16.0.6",
|
||||
"@opennextjs/cloudflare": "1.14.7",
|
||||
"@opennextjs/cloudflare": "1.14.8",
|
||||
"@openrouter/ai-sdk-provider": "^1.5.4",
|
||||
"@opentelemetry/exporter-trace-otlp-http": "^0.208.0",
|
||||
"@opentelemetry/api": "^1.9.0",
|
||||
"@opentelemetry/exporter-trace-otlp-http": "^0.209.0",
|
||||
"@opentelemetry/sdk-trace-node": "^2.2.0",
|
||||
"@radix-ui/react-alert-dialog": "^1.1.15",
|
||||
"@radix-ui/react-collapsible": "^1.1.12",
|
||||
@@ -65,11 +71,10 @@
|
||||
"clsx": "^2.1.1",
|
||||
"cmdk": "^1.1.1",
|
||||
"idb": "^8.0.3",
|
||||
"js-tiktoken": "^1.0.21",
|
||||
"jsdom": "^27.0.0",
|
||||
"jsonrepair": "^3.13.1",
|
||||
"lucide-react": "^0.562.0",
|
||||
"motion": "^12.23.25",
|
||||
"nanoid": "^5.0.0",
|
||||
"negotiator": "^1.0.0",
|
||||
"next": "^16.0.7",
|
||||
"ollama-ai-provider-v2": "^2.0.0",
|
||||
@@ -86,6 +91,7 @@
|
||||
"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"
|
||||
},
|
||||
@@ -103,13 +109,20 @@
|
||||
"devDependencies": {
|
||||
"@anthropic-ai/tokenizer": "^0.0.4",
|
||||
"@biomejs/biome": "^2.3.10",
|
||||
"@playwright/test": "^1.57.0",
|
||||
"@tailwindcss/postcss": "^4",
|
||||
"@tailwindcss/typography": "^0.5.19",
|
||||
"@testing-library/dom": "^10.4.1",
|
||||
"@testing-library/react": "^16.3.1",
|
||||
"@testing-library/user-event": "^14.6.1",
|
||||
"@types/negotiator": "^0.6.4",
|
||||
"@types/node": "^24.0.0",
|
||||
"@types/pako": "^2.0.3",
|
||||
"@types/react": "^19",
|
||||
"@types/react-dom": "^19",
|
||||
"@types/turndown": "^5.0.6",
|
||||
"@vitejs/plugin-react": "^5.1.2",
|
||||
"@vitest/coverage-v8": "^4.0.16",
|
||||
"concurrently": "^9.2.1",
|
||||
"cross-env": "^10.1.0",
|
||||
"electron": "^39.2.7",
|
||||
@@ -118,12 +131,15 @@
|
||||
"eslint": "9.39.2",
|
||||
"eslint-config-next": "16.1.1",
|
||||
"husky": "^9.1.7",
|
||||
"jsdom": "^27.4.0",
|
||||
"lint-staged": "^16.2.7",
|
||||
"shx": "^0.4.0",
|
||||
"tailwindcss": "^4",
|
||||
"typescript": "^5",
|
||||
"vite-tsconfig-paths": "^6.0.3",
|
||||
"vitest": "^4.0.16",
|
||||
"wait-on": "^9.0.3",
|
||||
"wrangler": "4.54.0"
|
||||
"wrangler": "^4.60.0"
|
||||
},
|
||||
"overrides": {
|
||||
"@openrouter/ai-sdk-provider": {
|
||||
|
||||
11
packages/claude-plugin/.claude-plugin/plugin.json
Normal file
11
packages/claude-plugin/.claude-plugin/plugin.json
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
8
packages/claude-plugin/.mcp.json
Normal file
8
packages/claude-plugin/.mcp.json
Normal file
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"mcpServers": {
|
||||
"drawio": {
|
||||
"command": "npx",
|
||||
"args": ["@next-ai-drawio/mcp-server@latest"]
|
||||
}
|
||||
}
|
||||
}
|
||||
107
packages/claude-plugin/README.md
Normal file
107
packages/claude-plugin/README.md
Normal file
@@ -0,0 +1,107 @@
|
||||
# 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
|
||||
24
packages/mcp-server/package-lock.json
generated
24
packages/mcp-server/package-lock.json
generated
@@ -1,18 +1,18 @@
|
||||
{
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.6",
|
||||
"version": "0.1.12",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.6",
|
||||
"version": "0.1.12",
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
"@modelcontextprotocol/sdk": "^1.0.4",
|
||||
"linkedom": "^0.18.0",
|
||||
"open": "^11.0.0",
|
||||
"zod": "^3.24.0"
|
||||
"zod": "^4.0.0"
|
||||
},
|
||||
"bin": {
|
||||
"next-ai-drawio-mcp": "dist/index.js"
|
||||
@@ -481,9 +481,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@modelcontextprotocol/sdk": {
|
||||
"version": "1.25.1",
|
||||
"resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.25.1.tgz",
|
||||
"integrity": "sha512-yO28oVFFC7EBoiKdAn+VqRm+plcfv4v0xp6osG/VsCB0NlPZWi87ajbCZZ8f/RvOFLEu7//rSRmuZZ7lMoe3gQ==",
|
||||
"version": "1.25.2",
|
||||
"resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.25.2.tgz",
|
||||
"integrity": "sha512-LZFeo4F9M5qOhC/Uc1aQSrBHxMrvxett+9KLHt7OhcExtoiRN9DKgbZffMP/nxjutWDQpfMDfP3nkHI4X9ijww==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@hono/node-server": "^1.19.7",
|
||||
@@ -520,9 +520,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@types/node": {
|
||||
"version": "24.10.4",
|
||||
"resolved": "https://registry.npmjs.org/@types/node/-/node-24.10.4.tgz",
|
||||
"integrity": "sha512-vnDVpYPMzs4wunl27jHrfmwojOGKya0xyM3sH+UE5iv5uPS6vX7UIoh6m+vQc5LGBq52HBKPIn/zcSZVzeDEZg==",
|
||||
"version": "24.10.6",
|
||||
"resolved": "https://registry.npmjs.org/@types/node/-/node-24.10.6.tgz",
|
||||
"integrity": "sha512-B8h60xgJMR/xmgyX9fncRzEW9gCxoJjdenUhke2v1JGOd/V66KopmWrLPXi5oUI4VuiGK+d+HlXJjDRZMj21EQ==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
@@ -2051,9 +2051,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/zod": {
|
||||
"version": "3.25.76",
|
||||
"resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz",
|
||||
"integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==",
|
||||
"version": "4.3.5",
|
||||
"resolved": "https://registry.npmjs.org/zod/-/zod-4.3.5.tgz",
|
||||
"integrity": "sha512-k7Nwx6vuWx1IJ9Bjuf4Zt1PEllcwe7cls3VNzm4CQ1/hgtFUK2bRNG3rvnpPUhFjmqJKAKtjV576KnUkHocg/g==",
|
||||
"license": "MIT",
|
||||
"peer": true,
|
||||
"funding": {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.11",
|
||||
"version": "0.1.15",
|
||||
"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": "Biki-dev",
|
||||
"author": "DayuanJiang",
|
||||
"license": "Apache-2.0",
|
||||
"repository": {
|
||||
"type": "git",
|
||||
"url": "https://github.com/Biki-dev/next-ai-draw-io",
|
||||
"url": "https://github.com/DayuanJiang/next-ai-draw-io",
|
||||
"directory": "packages/mcp-server"
|
||||
},
|
||||
"homepage": "https://next-ai-drawio.jiang.jp",
|
||||
"bugs": {
|
||||
"url": "https://github.com/Biki-dev/next-ai-draw-io/issues"
|
||||
"url": "https://github.com/DayuanJiang/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": "^3.24.0"
|
||||
"zod": "^4.0.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^24.0.0",
|
||||
|
||||
@@ -44,6 +44,17 @@ 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
|
||||
@@ -195,6 +206,17 @@ 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" })
|
||||
@@ -375,85 +397,202 @@ function getHtmlPage(sessionId: string): string {
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>Draw.io MCP</title>
|
||||
<title>Next AI Draw.io</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: 8px 16px; background: #1a1a2e; color: #eee;
|
||||
font-family: system-ui, sans-serif; font-size: 14px;
|
||||
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;
|
||||
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;
|
||||
}
|
||||
#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-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;
|
||||
z-index: 1000;
|
||||
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:hover { background: #2563eb; }
|
||||
#history-btn:disabled { background: #6b7280; cursor: not-allowed; }
|
||||
#history-btn svg { width: 24px; height: 24px; }
|
||||
#history-modal {
|
||||
#history-btn svg { width: 14px; height: 14px; }
|
||||
#history-btn:hover {
|
||||
background: #e4e4e7; border-color: #d4d4d8;
|
||||
}
|
||||
#drawio { flex: 1; border: none; }
|
||||
#history-modal, #save-modal {
|
||||
display: none; position: fixed; inset: 0;
|
||||
background: rgba(0,0,0,0.5); z-index: 2000;
|
||||
align-items: center; justify-content: center;
|
||||
background: rgba(0,0,0,0.4); backdrop-filter: blur(4px);
|
||||
z-index: 2000; align-items: center; justify-content: center;
|
||||
}
|
||||
#history-modal.open { display: flex; }
|
||||
#history-modal.open, #save-modal.open { display: flex; }
|
||||
.modal-content {
|
||||
background: white; border-radius: 12px;
|
||||
width: 90%; max-width: 500px; max-height: 70vh;
|
||||
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;
|
||||
}
|
||||
.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; }
|
||||
@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 #e5e7eb; border-radius: 8px; padding: 8px;
|
||||
cursor: pointer; text-align: center;
|
||||
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: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;
|
||||
aspect-ratio: 4/3; background: #f4f4f5; border-radius: 6px;
|
||||
display: flex; align-items: center; justify-content: center;
|
||||
margin-bottom: 4px; overflow: hidden;
|
||||
margin-bottom: 6px; overflow: hidden;
|
||||
}
|
||||
.history-item .thumb img { max-width: 100%; max-height: 100%; object-fit: contain; }
|
||||
.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; }
|
||||
.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;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div id="container">
|
||||
<div id="header">
|
||||
<div>
|
||||
<strong>Draw.io MCP</strong>
|
||||
<span class="session">${sessionId ? `Session: ${sessionId}` : "No session"}</span>
|
||||
<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" ${sessionId ? "" : "disabled"}>
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"></path>
|
||||
<polyline points="7 10 12 15 17 10"></polyline>
|
||||
<line x1="12" y1="15" x2="12" y2="3"></line>
|
||||
</svg>
|
||||
Download
|
||||
</button>
|
||||
</div>
|
||||
<div id="status" class="status disconnected">Connecting...</div>
|
||||
</div>
|
||||
<iframe id="drawio" src="${normalizeUrl(DRAWIO_BASE_URL)}/?embed=1&proto=json&spin=1&libraries=1"></iframe>
|
||||
<iframe id="drawio" src="${normalizeUrl(DRAWIO_BASE_URL)}/?embed=1&proto=json&spin=1&libraries=1&noSaveBtn=1&noExitBtn=1&saveAndExit=0"></iframe>
|
||||
</div>
|
||||
<button id="history-btn" title="History" ${sessionId ? "" : "disabled"}>
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
|
||||
<circle cx="12" cy="12" r="10"></circle>
|
||||
<polyline points="12 6 12 12 16 14"></polyline>
|
||||
</svg>
|
||||
</button>
|
||||
<div id="history-modal">
|
||||
<div class="modal-content">
|
||||
<div class="modal-header"><h2>History</h2></div>
|
||||
@@ -467,10 +606,35 @@ function getHtmlPage(sessionId: string): string {
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="save-modal">
|
||||
<div class="modal-content">
|
||||
<div class="modal-header"><h2>Download Diagram</h2></div>
|
||||
<div class="modal-body">
|
||||
<div class="form-group">
|
||||
<label>Format</label>
|
||||
<select id="save-format">
|
||||
<option value="drawio">Draw.io (.drawio)</option>
|
||||
<option value="png">PNG Image (.png)</option>
|
||||
<option value="svg">SVG Vector (.svg)</option>
|
||||
</select>
|
||||
</div>
|
||||
<div class="form-group">
|
||||
<label>Filename</label>
|
||||
<div class="filename-group">
|
||||
<input type="text" id="save-filename" value="diagram" placeholder="Enter filename">
|
||||
<span class="ext" id="save-ext">.drawio</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="modal-footer">
|
||||
<button class="btn btn-secondary" id="save-cancel-btn">Cancel</button>
|
||||
<button class="btn btn-primary" id="save-confirm-btn">Save</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<script>
|
||||
const sessionId = "${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;
|
||||
@@ -481,8 +645,6 @@ 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
|
||||
@@ -491,6 +653,23 @@ 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 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;
|
||||
@@ -563,6 +742,64 @@ function getHtmlPage(sessionId: string): string {
|
||||
|
||||
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');
|
||||
|
||||
@@ -260,6 +260,7 @@ COMMON STYLES:
|
||||
// Update session state
|
||||
currentSession.xml = xml
|
||||
currentSession.version++
|
||||
currentSession.lastGetDiagramTime = Date.now()
|
||||
|
||||
// Push to embedded server state
|
||||
setState(currentSession.id, xml)
|
||||
|
||||
28
playwright.config.ts
Normal file
28
playwright.config.ts
Normal file
@@ -0,0 +1,28 @@
|
||||
import { defineConfig } from "@playwright/test"
|
||||
|
||||
export default defineConfig({
|
||||
testDir: "./tests/e2e",
|
||||
fullyParallel: true,
|
||||
forbidOnly: !!process.env.CI,
|
||||
retries: process.env.CI ? 2 : 0,
|
||||
workers: process.env.CI ? 1 : undefined,
|
||||
reporter: process.env.CI ? [["list"], ["html"]] : "html",
|
||||
webServer: {
|
||||
command: process.env.CI ? "npm run start" : "npm run dev",
|
||||
port: process.env.CI ? 6001 : 6002,
|
||||
reuseExistingServer: !process.env.CI,
|
||||
timeout: 120 * 1000,
|
||||
},
|
||||
use: {
|
||||
baseURL: process.env.CI
|
||||
? "http://localhost:6001"
|
||||
: "http://localhost:6002",
|
||||
trace: "on-first-retry",
|
||||
},
|
||||
projects: [
|
||||
{
|
||||
name: "chromium",
|
||||
use: { browserName: "chromium" },
|
||||
},
|
||||
],
|
||||
})
|
||||
1
proxy.ts
1
proxy.ts
@@ -31,6 +31,7 @@ export function proxy(request: NextRequest) {
|
||||
if (
|
||||
pathname.startsWith("/api/") ||
|
||||
pathname.startsWith("/_next/") ||
|
||||
pathname.startsWith("/drawio") ||
|
||||
pathname.includes("/favicon") ||
|
||||
/\.(.*)$/.test(pathname)
|
||||
) {
|
||||
|
||||
@@ -1,10 +1,52 @@
|
||||
/**
|
||||
* 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 { cpSync, existsSync } = require("fs")
|
||||
const {
|
||||
copyFileSync,
|
||||
existsSync,
|
||||
lstatSync,
|
||||
mkdirSync,
|
||||
readdirSync,
|
||||
statSync,
|
||||
} = 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
|
||||
@@ -25,7 +67,7 @@ module.exports = async (context) => {
|
||||
console.log(`[afterPack] Copying node_modules to ${targetNodeModules}`)
|
||||
|
||||
if (existsSync(sourceNodeModules) && existsSync(standaloneDir)) {
|
||||
cpSync(sourceNodeModules, targetNodeModules, { recursive: true })
|
||||
copyDereferenced(sourceNodeModules, targetNodeModules)
|
||||
console.log("[afterPack] node_modules copied successfully")
|
||||
} else {
|
||||
console.error("[afterPack] Source or target directory not found!")
|
||||
@@ -40,4 +82,22 @@ module.exports = async (context) => {
|
||||
"Ensure 'npm run electron:prepare' was run before building.",
|
||||
)
|
||||
}
|
||||
|
||||
// Ad-hoc sign macOS apps to fix signature issues with bundled draw.io files
|
||||
if (context.packager.platform.name === "mac") {
|
||||
const appPath = path.join(
|
||||
appOutDir,
|
||||
`${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
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -6,13 +6,54 @@
|
||||
* that electron-builder can properly include
|
||||
*/
|
||||
|
||||
import { cpSync, existsSync, mkdirSync, rmSync } from "node:fs"
|
||||
import {
|
||||
copyFileSync,
|
||||
existsSync,
|
||||
lstatSync,
|
||||
mkdirSync,
|
||||
readdirSync,
|
||||
rmSync,
|
||||
statSync,
|
||||
} 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")
|
||||
@@ -30,12 +71,19 @@ mkdirSync(targetDir, { recursive: true })
|
||||
|
||||
// Copy standalone (includes node_modules)
|
||||
console.log("Copying standalone directory...")
|
||||
cpSync(standaloneDir, targetDir, { recursive: true })
|
||||
copyDereferenced(standaloneDir, targetDir)
|
||||
|
||||
// Copy static files
|
||||
console.log("Copying static files...")
|
||||
const targetStaticDir = join(targetDir, ".next", "static")
|
||||
mkdirSync(targetStaticDir, { recursive: true })
|
||||
cpSync(staticDir, targetStaticDir, { recursive: true })
|
||||
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)
|
||||
}
|
||||
|
||||
console.log("Done! Files prepared in electron-standalone/")
|
||||
|
||||
22
tests/e2e/chat.spec.ts
Normal file
22
tests/e2e/chat.spec.ts
Normal file
@@ -0,0 +1,22 @@
|
||||
import { expect, getIframe, test } from "./lib/fixtures"
|
||||
|
||||
test.describe("Chat Panel", () => {
|
||||
test.beforeEach(async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
})
|
||||
|
||||
test("page has interactive elements", async ({ page }) => {
|
||||
const buttons = page.locator("button")
|
||||
const count = await buttons.count()
|
||||
expect(count).toBeGreaterThan(0)
|
||||
})
|
||||
|
||||
test("draw.io iframe is interactive", async ({ page }) => {
|
||||
const iframe = getIframe(page)
|
||||
await expect(iframe).toBeVisible()
|
||||
|
||||
const src = await iframe.getAttribute("src")
|
||||
expect(src).toBeTruthy()
|
||||
})
|
||||
})
|
||||
137
tests/e2e/copy-paste.spec.ts
Normal file
137
tests/e2e/copy-paste.spec.ts
Normal file
@@ -0,0 +1,137 @@
|
||||
import { SINGLE_BOX_XML } from "./fixtures/diagrams"
|
||||
import {
|
||||
expect,
|
||||
getChatInput,
|
||||
getIframe,
|
||||
sendMessage,
|
||||
test,
|
||||
} from "./lib/fixtures"
|
||||
import { createMockSSEResponse } from "./lib/helpers"
|
||||
|
||||
test.describe("Copy/Paste Functionality", () => {
|
||||
test("can paste text into chat input", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const chatInput = getChatInput(page)
|
||||
await expect(chatInput).toBeVisible({ timeout: 10000 })
|
||||
|
||||
await chatInput.focus()
|
||||
await page.keyboard.insertText("Create a flowchart diagram")
|
||||
|
||||
await expect(chatInput).toHaveValue("Create a flowchart diagram")
|
||||
})
|
||||
|
||||
test("can paste multiline text into chat input", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const chatInput = getChatInput(page)
|
||||
await expect(chatInput).toBeVisible({ timeout: 10000 })
|
||||
|
||||
await chatInput.focus()
|
||||
const multilineText = "Line 1\nLine 2\nLine 3"
|
||||
await page.keyboard.insertText(multilineText)
|
||||
|
||||
await expect(chatInput).toHaveValue(multilineText)
|
||||
})
|
||||
|
||||
test("copy button copies response text", async ({ page }) => {
|
||||
await page.route("**/api/chat", async (route) => {
|
||||
await route.fulfill({
|
||||
status: 200,
|
||||
contentType: "text/event-stream",
|
||||
body: createMockSSEResponse(
|
||||
SINGLE_BOX_XML,
|
||||
"Here is your diagram with a test box.",
|
||||
),
|
||||
})
|
||||
})
|
||||
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
await sendMessage(page, "Create a test box")
|
||||
|
||||
// Wait for response
|
||||
await expect(
|
||||
page.locator('text="Here is your diagram with a test box."'),
|
||||
).toBeVisible({ timeout: 15000 })
|
||||
|
||||
// Find copy button in message
|
||||
const copyButton = page.locator(
|
||||
'[data-testid="copy-button"], button[aria-label*="Copy"], button:has(svg.lucide-copy), button:has(svg.lucide-clipboard)',
|
||||
)
|
||||
|
||||
// Copy button feature may not exist - skip if not available
|
||||
const buttonCount = await copyButton.count()
|
||||
if (buttonCount === 0) {
|
||||
test.skip()
|
||||
return
|
||||
}
|
||||
|
||||
await copyButton.first().click()
|
||||
await expect(
|
||||
page.locator('text="Copied"').or(page.locator("svg.lucide-check")),
|
||||
).toBeVisible({ timeout: 3000 })
|
||||
})
|
||||
|
||||
test("keyboard shortcuts work in chat input", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const chatInput = getChatInput(page)
|
||||
await expect(chatInput).toBeVisible({ timeout: 10000 })
|
||||
|
||||
await chatInput.fill("Hello world")
|
||||
await chatInput.press("ControlOrMeta+a")
|
||||
await chatInput.fill("New text")
|
||||
|
||||
await expect(chatInput).toHaveValue("New text")
|
||||
})
|
||||
|
||||
test("can undo/redo in chat input", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const chatInput = getChatInput(page)
|
||||
await expect(chatInput).toBeVisible({ timeout: 10000 })
|
||||
|
||||
await chatInput.fill("First text")
|
||||
await chatInput.press("Tab")
|
||||
|
||||
await chatInput.focus()
|
||||
await chatInput.fill("Second text")
|
||||
await chatInput.press("ControlOrMeta+z")
|
||||
|
||||
// Verify page is still functional after undo
|
||||
await expect(chatInput).toBeVisible()
|
||||
})
|
||||
|
||||
test("chat input handles special characters", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const chatInput = getChatInput(page)
|
||||
await expect(chatInput).toBeVisible({ timeout: 10000 })
|
||||
|
||||
const specialText = "Test <>&\"' special chars 日本語 中文 🎉"
|
||||
await chatInput.fill(specialText)
|
||||
|
||||
await expect(chatInput).toHaveValue(specialText)
|
||||
})
|
||||
|
||||
test("long text in chat input scrolls", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const chatInput = getChatInput(page)
|
||||
await expect(chatInput).toBeVisible({ timeout: 10000 })
|
||||
|
||||
const longText = "This is a very long text. ".repeat(50)
|
||||
await chatInput.fill(longText)
|
||||
|
||||
const value = await chatInput.inputValue()
|
||||
expect(value.length).toBeGreaterThan(500)
|
||||
})
|
||||
})
|
||||
128
tests/e2e/diagram-generation.spec.ts
Normal file
128
tests/e2e/diagram-generation.spec.ts
Normal file
@@ -0,0 +1,128 @@
|
||||
import {
|
||||
CAT_DIAGRAM_XML,
|
||||
FLOWCHART_XML,
|
||||
NEW_NODE_XML,
|
||||
} from "./fixtures/diagrams"
|
||||
import {
|
||||
createMultiTurnMock,
|
||||
expect,
|
||||
getChatInput,
|
||||
sendMessage,
|
||||
test,
|
||||
waitForComplete,
|
||||
waitForCompleteCount,
|
||||
} from "./lib/fixtures"
|
||||
import { createMockSSEResponse } from "./lib/helpers"
|
||||
|
||||
test.describe("Diagram Generation", () => {
|
||||
test.beforeEach(async ({ page }) => {
|
||||
await page.route("**/api/chat", async (route) => {
|
||||
await route.fulfill({
|
||||
status: 200,
|
||||
contentType: "text/event-stream",
|
||||
body: createMockSSEResponse(
|
||||
CAT_DIAGRAM_XML,
|
||||
"I'll create a diagram for you.",
|
||||
),
|
||||
})
|
||||
})
|
||||
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await page
|
||||
.locator("iframe")
|
||||
.waitFor({ state: "visible", timeout: 30000 })
|
||||
})
|
||||
|
||||
test("generates and displays a diagram", async ({ page }) => {
|
||||
await sendMessage(page, "Draw a cat")
|
||||
await expect(page.locator('text="Generate Diagram"')).toBeVisible({
|
||||
timeout: 15000,
|
||||
})
|
||||
await waitForComplete(page)
|
||||
})
|
||||
|
||||
test("chat input clears after sending", async ({ page }) => {
|
||||
const chatInput = getChatInput(page)
|
||||
await expect(chatInput).toBeVisible({ timeout: 10000 })
|
||||
|
||||
await chatInput.fill("Draw a cat")
|
||||
await chatInput.press("ControlOrMeta+Enter")
|
||||
|
||||
await expect(chatInput).toHaveValue("", { timeout: 5000 })
|
||||
})
|
||||
|
||||
test("user message appears in chat", async ({ page }) => {
|
||||
await sendMessage(page, "Draw a cute cat")
|
||||
await expect(page.locator('text="Draw a cute cat"')).toBeVisible({
|
||||
timeout: 10000,
|
||||
})
|
||||
})
|
||||
|
||||
test("assistant text message appears in chat", async ({ page }) => {
|
||||
await sendMessage(page, "Draw a cat")
|
||||
await expect(
|
||||
page.locator('text="I\'ll create a diagram for you."'),
|
||||
).toBeVisible({ timeout: 10000 })
|
||||
})
|
||||
})
|
||||
|
||||
test.describe("Diagram Edit", () => {
|
||||
test.beforeEach(async ({ page }) => {
|
||||
await page.route(
|
||||
"**/api/chat",
|
||||
createMultiTurnMock([
|
||||
{ xml: FLOWCHART_XML, text: "I'll create a diagram for you." },
|
||||
{
|
||||
xml: FLOWCHART_XML.replace("Process", "Updated Process"),
|
||||
text: "I'll create a diagram for you.",
|
||||
},
|
||||
]),
|
||||
)
|
||||
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await page
|
||||
.locator("iframe")
|
||||
.waitFor({ state: "visible", timeout: 30000 })
|
||||
})
|
||||
|
||||
test("can edit an existing diagram", async ({ page }) => {
|
||||
// First: create initial diagram
|
||||
await sendMessage(page, "Create a flowchart")
|
||||
await waitForComplete(page)
|
||||
|
||||
// Second: edit the diagram
|
||||
await sendMessage(page, "Change Process to Updated Process")
|
||||
await waitForCompleteCount(page, 2)
|
||||
})
|
||||
})
|
||||
|
||||
test.describe("Diagram Append", () => {
|
||||
test.beforeEach(async ({ page }) => {
|
||||
await page.route(
|
||||
"**/api/chat",
|
||||
createMultiTurnMock([
|
||||
{ xml: FLOWCHART_XML, text: "I'll create a diagram for you." },
|
||||
{
|
||||
xml: NEW_NODE_XML,
|
||||
text: "I'll create a diagram for you.",
|
||||
toolName: "append_diagram",
|
||||
},
|
||||
]),
|
||||
)
|
||||
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await page
|
||||
.locator("iframe")
|
||||
.waitFor({ state: "visible", timeout: 30000 })
|
||||
})
|
||||
|
||||
test("can append to an existing diagram", async ({ page }) => {
|
||||
// First: create initial diagram
|
||||
await sendMessage(page, "Create a flowchart")
|
||||
await waitForComplete(page)
|
||||
|
||||
// Second: append to diagram
|
||||
await sendMessage(page, "Add a new node to the right")
|
||||
await waitForCompleteCount(page, 2)
|
||||
})
|
||||
})
|
||||
136
tests/e2e/error-handling.spec.ts
Normal file
136
tests/e2e/error-handling.spec.ts
Normal file
@@ -0,0 +1,136 @@
|
||||
import { TRUNCATED_XML } from "./fixtures/diagrams"
|
||||
import {
|
||||
createErrorMock,
|
||||
expect,
|
||||
getChatInput,
|
||||
getIframe,
|
||||
sendMessage,
|
||||
test,
|
||||
} from "./lib/fixtures"
|
||||
|
||||
test.describe("Error Handling", () => {
|
||||
test("displays error message when API returns 500", async ({ page }) => {
|
||||
await page.route(
|
||||
"**/api/chat",
|
||||
createErrorMock(500, "Internal server error"),
|
||||
)
|
||||
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
await sendMessage(page, "Draw a cat")
|
||||
|
||||
// Should show error indication
|
||||
const errorIndicator = page
|
||||
.locator('[role="alert"]')
|
||||
.or(page.locator("[data-sonner-toast]"))
|
||||
.or(page.locator("text=/error|failed|something went wrong/i"))
|
||||
await expect(errorIndicator.first()).toBeVisible({ timeout: 10000 })
|
||||
|
||||
// User should be able to type again
|
||||
const chatInput = getChatInput(page)
|
||||
await chatInput.fill("Retry message")
|
||||
await expect(chatInput).toHaveValue("Retry message")
|
||||
})
|
||||
|
||||
test("displays error message when API returns 429 rate limit", async ({
|
||||
page,
|
||||
}) => {
|
||||
await page.route(
|
||||
"**/api/chat",
|
||||
createErrorMock(429, "Rate limit exceeded"),
|
||||
)
|
||||
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
await sendMessage(page, "Draw a cat")
|
||||
|
||||
// Should show error indication for rate limit
|
||||
const errorIndicator = page
|
||||
.locator('[role="alert"]')
|
||||
.or(page.locator("[data-sonner-toast]"))
|
||||
.or(page.locator("text=/rate limit|too many|try again/i"))
|
||||
await expect(errorIndicator.first()).toBeVisible({ timeout: 10000 })
|
||||
|
||||
// User should be able to type again
|
||||
const chatInput = getChatInput(page)
|
||||
await chatInput.fill("Retry after rate limit")
|
||||
await expect(chatInput).toHaveValue("Retry after rate limit")
|
||||
})
|
||||
|
||||
test("handles network timeout gracefully", async ({ page }) => {
|
||||
await page.route("**/api/chat", async (route) => {
|
||||
await new Promise((resolve) => setTimeout(resolve, 2000))
|
||||
await route.abort("timedout")
|
||||
})
|
||||
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
await sendMessage(page, "Draw a cat")
|
||||
|
||||
// Should show error indication for network failure
|
||||
const errorIndicator = page
|
||||
.locator('[role="alert"]')
|
||||
.or(page.locator("[data-sonner-toast]"))
|
||||
.or(page.locator("text=/error|failed|network|timeout/i"))
|
||||
await expect(errorIndicator.first()).toBeVisible({ timeout: 10000 })
|
||||
|
||||
// After timeout, user should be able to type again
|
||||
const chatInput = getChatInput(page)
|
||||
await chatInput.fill("Try again after timeout")
|
||||
await expect(chatInput).toHaveValue("Try again after timeout")
|
||||
})
|
||||
|
||||
test("shows truncated badge for incomplete XML", async ({ page }) => {
|
||||
const toolCallId = `call_${Date.now()}`
|
||||
const textId = `text_${Date.now()}`
|
||||
const messageId = `msg_${Date.now()}`
|
||||
|
||||
const events = [
|
||||
{ type: "start", messageId },
|
||||
{ type: "text-start", id: textId },
|
||||
{ type: "text-delta", id: textId, delta: "Creating diagram..." },
|
||||
{ type: "text-end", id: textId },
|
||||
{
|
||||
type: "tool-input-start",
|
||||
toolCallId,
|
||||
toolName: "display_diagram",
|
||||
},
|
||||
{
|
||||
type: "tool-input-available",
|
||||
toolCallId,
|
||||
toolName: "display_diagram",
|
||||
input: { xml: TRUNCATED_XML },
|
||||
},
|
||||
{
|
||||
type: "tool-output-error",
|
||||
toolCallId,
|
||||
error: "XML validation failed",
|
||||
},
|
||||
{ type: "finish" },
|
||||
]
|
||||
|
||||
await page.route("**/api/chat", async (route) => {
|
||||
await route.fulfill({
|
||||
status: 200,
|
||||
contentType: "text/event-stream",
|
||||
body:
|
||||
events
|
||||
.map((e) => `data: ${JSON.stringify(e)}\n\n`)
|
||||
.join("") + "data: [DONE]\n\n",
|
||||
})
|
||||
})
|
||||
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
await sendMessage(page, "Draw something")
|
||||
|
||||
// Should show truncated badge
|
||||
await expect(page.locator('text="Truncated"')).toBeVisible({
|
||||
timeout: 15000,
|
||||
})
|
||||
})
|
||||
})
|
||||
152
tests/e2e/file-upload.spec.ts
Normal file
152
tests/e2e/file-upload.spec.ts
Normal file
@@ -0,0 +1,152 @@
|
||||
import { SINGLE_BOX_XML } from "./fixtures/diagrams"
|
||||
import {
|
||||
expect,
|
||||
getChatInput,
|
||||
getIframe,
|
||||
sendMessage,
|
||||
test,
|
||||
} from "./lib/fixtures"
|
||||
import { createMockSSEResponse } from "./lib/helpers"
|
||||
|
||||
test.describe("File Upload", () => {
|
||||
test("upload button opens file picker", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const uploadButton = page.locator(
|
||||
'button[aria-label="Upload file"], button:has(svg.lucide-image)',
|
||||
)
|
||||
await expect(uploadButton.first()).toBeVisible({ timeout: 10000 })
|
||||
await expect(uploadButton.first()).toBeEnabled()
|
||||
})
|
||||
|
||||
test("shows file preview after selecting image", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const fileInput = page.locator('input[type="file"]')
|
||||
|
||||
await fileInput.setInputFiles({
|
||||
name: "test-image.png",
|
||||
mimeType: "image/png",
|
||||
buffer: Buffer.from(
|
||||
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==",
|
||||
"base64",
|
||||
),
|
||||
})
|
||||
|
||||
await expect(
|
||||
page.locator('[role="alert"][data-type="error"]'),
|
||||
).not.toBeVisible({ timeout: 2000 })
|
||||
})
|
||||
|
||||
test("can remove uploaded file", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const fileInput = page.locator('input[type="file"]')
|
||||
|
||||
await fileInput.setInputFiles({
|
||||
name: "test-image.png",
|
||||
mimeType: "image/png",
|
||||
buffer: Buffer.from(
|
||||
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==",
|
||||
"base64",
|
||||
),
|
||||
})
|
||||
|
||||
await expect(
|
||||
page.locator('[role="alert"][data-type="error"]'),
|
||||
).not.toBeVisible({ timeout: 2000 })
|
||||
|
||||
const removeButton = page.locator(
|
||||
'[data-testid="remove-file-button"], button[aria-label*="Remove"], button:has(svg.lucide-x)',
|
||||
)
|
||||
|
||||
const removeButtonCount = await removeButton.count()
|
||||
if (removeButtonCount === 0) {
|
||||
test.skip()
|
||||
return
|
||||
}
|
||||
|
||||
await removeButton.first().click()
|
||||
await expect(removeButton.first()).not.toBeVisible({ timeout: 2000 })
|
||||
})
|
||||
|
||||
test("sends file with message to API", async ({ page }) => {
|
||||
let capturedRequest: any = null
|
||||
|
||||
await page.route("**/api/chat", async (route) => {
|
||||
capturedRequest = route.request()
|
||||
await route.fulfill({
|
||||
status: 200,
|
||||
contentType: "text/event-stream",
|
||||
body: createMockSSEResponse(
|
||||
SINGLE_BOX_XML,
|
||||
"Based on your image, here is a diagram:",
|
||||
),
|
||||
})
|
||||
})
|
||||
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const fileInput = page.locator('input[type="file"]')
|
||||
|
||||
await fileInput.setInputFiles({
|
||||
name: "architecture.png",
|
||||
mimeType: "image/png",
|
||||
buffer: Buffer.from(
|
||||
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==",
|
||||
"base64",
|
||||
),
|
||||
})
|
||||
|
||||
await sendMessage(page, "Convert this to a diagram")
|
||||
|
||||
await expect(
|
||||
page.locator('text="Based on your image, here is a diagram:"'),
|
||||
).toBeVisible({ timeout: 15000 })
|
||||
|
||||
expect(capturedRequest).not.toBeNull()
|
||||
})
|
||||
|
||||
test("shows error for oversized file", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const fileInput = page.locator('input[type="file"]')
|
||||
const largeBuffer = Buffer.alloc(3 * 1024 * 1024, "x")
|
||||
|
||||
await fileInput.setInputFiles({
|
||||
name: "large-image.png",
|
||||
mimeType: "image/png",
|
||||
buffer: largeBuffer,
|
||||
})
|
||||
|
||||
await expect(
|
||||
page.locator('[role="alert"], [data-sonner-toast]').first(),
|
||||
).toBeVisible({ timeout: 5000 })
|
||||
})
|
||||
|
||||
test("drag and drop file upload works", async ({ page }) => {
|
||||
await page.goto("/", { waitUntil: "networkidle" })
|
||||
await getIframe(page).waitFor({ state: "visible", timeout: 30000 })
|
||||
|
||||
const chatForm = page.locator("form").first()
|
||||
|
||||
const dataTransfer = await page.evaluateHandle(() => {
|
||||
const dt = new DataTransfer()
|
||||
const file = new File(["test content"], "dropped-image.png", {
|
||||
type: "image/png",
|
||||
})
|
||||
dt.items.add(file)
|
||||
return dt
|
||||
})
|
||||
|
||||
await chatForm.dispatchEvent("dragover", { dataTransfer })
|
||||
await chatForm.dispatchEvent("drop", { dataTransfer })
|
||||
|
||||
await expect(getChatInput(page)).toBeVisible({ timeout: 3000 })
|
||||
})
|
||||
})
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user