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@@ -1,8 +1,97 @@
|
||||
# Logs
|
||||
logs
|
||||
*.log
|
||||
npm-debug.log*
|
||||
yarn-debug.log*
|
||||
yarn-error.log*
|
||||
|
||||
# Runtime data
|
||||
pids
|
||||
*.pid
|
||||
*.seed
|
||||
*.pid.lock
|
||||
|
||||
# Directory for instrumented libs generated by jscoverage/JSCover
|
||||
lib-cov
|
||||
|
||||
# Coverage directory used by tools like istanbul
|
||||
coverage
|
||||
*.lcov
|
||||
|
||||
# nyc test coverage
|
||||
.nyc_output
|
||||
|
||||
# Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
|
||||
.grunt
|
||||
|
||||
# Node.js dependencies
|
||||
/node_modules
|
||||
/jspm_packages
|
||||
|
||||
# TypeScript v1 declaration files
|
||||
typings
|
||||
|
||||
# Optional npm cache directory
|
||||
.npm
|
||||
|
||||
# Optional eslint cache
|
||||
.eslintcache
|
||||
|
||||
# Optional REPL history
|
||||
.node_repl_history
|
||||
|
||||
# Output of 'npm pack'
|
||||
*.tgz
|
||||
|
||||
# Yarn Integrity file
|
||||
.yarn-integrity
|
||||
|
||||
# dotenv environment variable files
|
||||
.env
|
||||
.env.test
|
||||
|
||||
# local env files
|
||||
.env*.local
|
||||
|
||||
# docker-compose env files
|
||||
.env
|
||||
# Next.js build output
|
||||
.next
|
||||
out
|
||||
|
||||
# Nuxt.js build output
|
||||
.nuxt
|
||||
dist
|
||||
|
||||
# Gatsby files
|
||||
.cache/
|
||||
|
||||
|
||||
# Vuepress build output
|
||||
.vuepress/dist
|
||||
|
||||
# Serverless directories
|
||||
.serverless/
|
||||
|
||||
# FuseBox cache
|
||||
.fusebox/
|
||||
|
||||
# DynamoDB Local files
|
||||
.dynamodb/
|
||||
|
||||
# Temporary folders
|
||||
tmp
|
||||
temp
|
||||
|
||||
# IDE and editor directories
|
||||
.idea
|
||||
.vscode
|
||||
*.swp
|
||||
*.swo
|
||||
*~
|
||||
|
||||
# OS generated files
|
||||
.DS_Store
|
||||
Thumbs.db
|
||||
|
||||
# secret key
|
||||
*.key
|
||||
*.key.pub
|
||||
*.key.pub
|
||||
|
@@ -1,21 +1,20 @@
|
||||
|
||||
# Your openai api key. (required)
|
||||
OPENAI_API_KEY=sk-xxxx
|
||||
|
||||
# Access passsword, separated by comma. (optional)
|
||||
# Access password, separated by comma. (optional)
|
||||
CODE=your-password
|
||||
|
||||
# You can start service behind a proxy
|
||||
# You can start service behind a proxy. (optional)
|
||||
PROXY_URL=http://localhost:7890
|
||||
|
||||
# (optional)
|
||||
# Default: Empty
|
||||
# Googel Gemini Pro API key, set if you want to use Google Gemini Pro API.
|
||||
# Google Gemini Pro API key, set if you want to use Google Gemini Pro API.
|
||||
GOOGLE_API_KEY=
|
||||
|
||||
# (optional)
|
||||
# Default: https://generativelanguage.googleapis.com/
|
||||
# Googel Gemini Pro API url without pathname, set if you want to customize Google Gemini Pro API url.
|
||||
# Google Gemini Pro API url without pathname, set if you want to customize Google Gemini Pro API url.
|
||||
GOOGLE_URL=
|
||||
|
||||
# Override openai api request base url. (optional)
|
||||
@@ -47,3 +46,24 @@ ENABLE_BALANCE_QUERY=
|
||||
# If you want to disable parse settings from url, set this value to 1.
|
||||
DISABLE_FAST_LINK=
|
||||
|
||||
# (optional)
|
||||
# Default: Empty
|
||||
# To control custom models, use + to add a custom model, use - to hide a model, use name=displayName to customize model name, separated by comma.
|
||||
CUSTOM_MODELS=
|
||||
|
||||
# (optional)
|
||||
# Default: Empty
|
||||
# Change default model
|
||||
DEFAULT_MODEL=
|
||||
|
||||
# anthropic claude Api Key.(optional)
|
||||
ANTHROPIC_API_KEY=
|
||||
|
||||
### anthropic claude Api version. (optional)
|
||||
ANTHROPIC_API_VERSION=
|
||||
|
||||
### anthropic claude Api url (optional)
|
||||
ANTHROPIC_URL=
|
||||
|
||||
### (optional)
|
||||
WHITE_WEBDEV_ENDPOINTS=
|
80
.github/ISSUE_TEMPLATE/1_bug_report.yml
vendored
Normal file
@@ -0,0 +1,80 @@
|
||||
name: '🐛 Bug Report'
|
||||
description: 'Report an bug'
|
||||
title: '[Bug] '
|
||||
labels: ['bug']
|
||||
body:
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: '📦 Deployment Method'
|
||||
multiple: true
|
||||
options:
|
||||
- 'Official installation package'
|
||||
- 'Vercel'
|
||||
- 'Zeabur'
|
||||
- 'Sealos'
|
||||
- 'Netlify'
|
||||
- 'Docker'
|
||||
- 'Other'
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: '📌 Version'
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: '💻 Operating System'
|
||||
multiple: true
|
||||
options:
|
||||
- 'Windows'
|
||||
- 'macOS'
|
||||
- 'Ubuntu'
|
||||
- 'Other Linux'
|
||||
- 'iOS'
|
||||
- 'iPad OS'
|
||||
- 'Android'
|
||||
- 'Other'
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: '📌 System Version'
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: '🌐 Browser'
|
||||
multiple: true
|
||||
options:
|
||||
- 'Chrome'
|
||||
- 'Edge'
|
||||
- 'Safari'
|
||||
- 'Firefox'
|
||||
- 'Other'
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: '📌 Browser Version'
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '🐛 Bug Description'
|
||||
description: A clear and concise description of the bug, if the above option is `Other`, please also explain in detail.
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '📷 Recurrence Steps'
|
||||
description: A clear and concise description of how to recurrence.
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '🚦 Expected Behavior'
|
||||
description: A clear and concise description of what you expected to happen.
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '📝 Additional Information'
|
||||
description: If your problem needs further explanation, or if the issue you're seeing cannot be reproduced in a gist, please add more information here.
|
80
.github/ISSUE_TEMPLATE/1_bug_report_cn.yml
vendored
Normal file
@@ -0,0 +1,80 @@
|
||||
name: '🐛 反馈缺陷'
|
||||
description: '反馈一个问题/缺陷'
|
||||
title: '[Bug] '
|
||||
labels: ['bug']
|
||||
body:
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: '📦 部署方式'
|
||||
multiple: true
|
||||
options:
|
||||
- '官方安装包'
|
||||
- 'Vercel'
|
||||
- 'Zeabur'
|
||||
- 'Sealos'
|
||||
- 'Netlify'
|
||||
- 'Docker'
|
||||
- 'Other'
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: '📌 软件版本'
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: '💻 系统环境'
|
||||
multiple: true
|
||||
options:
|
||||
- 'Windows'
|
||||
- 'macOS'
|
||||
- 'Ubuntu'
|
||||
- 'Other Linux'
|
||||
- 'iOS'
|
||||
- 'iPad OS'
|
||||
- 'Android'
|
||||
- 'Other'
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: '📌 系统版本'
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: '🌐 浏览器'
|
||||
multiple: true
|
||||
options:
|
||||
- 'Chrome'
|
||||
- 'Edge'
|
||||
- 'Safari'
|
||||
- 'Firefox'
|
||||
- 'Other'
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: '📌 浏览器版本'
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '🐛 问题描述'
|
||||
description: 请提供一个清晰且简洁的问题描述,若上述选项为`Other`,也请详细说明。
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '📷 复现步骤'
|
||||
description: 请提供一个清晰且简洁的描述,说明如何复现问题。
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '🚦 期望结果'
|
||||
description: 请提供一个清晰且简洁的描述,说明您期望发生什么。
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '📝 补充信息'
|
||||
description: 如果您的问题需要进一步说明,或者您遇到的问题无法在一个简单的示例中复现,请在这里添加更多信息。
|
21
.github/ISSUE_TEMPLATE/2_feature_request.yml
vendored
Normal file
@@ -0,0 +1,21 @@
|
||||
name: '🌠 Feature Request'
|
||||
description: 'Suggest an idea'
|
||||
title: '[Feature Request] '
|
||||
labels: ['enhancement']
|
||||
body:
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '🥰 Feature Description'
|
||||
description: Please add a clear and concise description of the problem you are seeking to solve with this feature request.
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '🧐 Proposed Solution'
|
||||
description: Describe the solution you'd like in a clear and concise manner.
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '📝 Additional Information'
|
||||
description: Add any other context about the problem here.
|
21
.github/ISSUE_TEMPLATE/2_feature_request_cn.yml
vendored
Normal file
@@ -0,0 +1,21 @@
|
||||
name: '🌠 功能需求'
|
||||
description: '提出需求或建议'
|
||||
title: '[Feature Request] '
|
||||
labels: ['enhancement']
|
||||
body:
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '🥰 需求描述'
|
||||
description: 请添加一个清晰且简洁的问题描述,阐述您希望通过这个功能需求解决的问题。
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '🧐 解决方案'
|
||||
description: 请清晰且简洁地描述您想要的解决方案。
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: '📝 补充信息'
|
||||
description: 在这里添加关于问题的任何其他背景信息。
|
43
.github/ISSUE_TEMPLATE/bug_report.md
vendored
@@ -1,43 +0,0 @@
|
||||
---
|
||||
name: Bug report
|
||||
about: Create a report to help us improve
|
||||
title: "[Bug] "
|
||||
labels: ''
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
**Describe the bug**
|
||||
A clear and concise description of what the bug is.
|
||||
|
||||
**To Reproduce**
|
||||
Steps to reproduce the behavior:
|
||||
1. Go to '...'
|
||||
2. Click on '....'
|
||||
3. Scroll down to '....'
|
||||
4. See error
|
||||
|
||||
**Expected behavior**
|
||||
A clear and concise description of what you expected to happen.
|
||||
|
||||
**Screenshots**
|
||||
If applicable, add screenshots to help explain your problem.
|
||||
|
||||
**Deployment**
|
||||
- [ ] Docker
|
||||
- [ ] Vercel
|
||||
- [ ] Server
|
||||
|
||||
**Desktop (please complete the following information):**
|
||||
- OS: [e.g. iOS]
|
||||
- Browser [e.g. chrome, safari]
|
||||
- Version [e.g. 22]
|
||||
|
||||
**Smartphone (please complete the following information):**
|
||||
- Device: [e.g. iPhone6]
|
||||
- OS: [e.g. iOS8.1]
|
||||
- Browser [e.g. stock browser, safari]
|
||||
- Version [e.g. 22]
|
||||
|
||||
**Additional Logs**
|
||||
Add any logs about the problem here.
|
20
.github/ISSUE_TEMPLATE/feature_request.md
vendored
@@ -1,20 +0,0 @@
|
||||
---
|
||||
name: Feature request
|
||||
about: Suggest an idea for this project
|
||||
title: "[Feature] "
|
||||
labels: ''
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
**Is your feature request related to a problem? Please describe.**
|
||||
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
|
||||
|
||||
**Describe the solution you'd like**
|
||||
A clear and concise description of what you want to happen.
|
||||
|
||||
**Describe alternatives you've considered**
|
||||
A clear and concise description of any alternative solutions or features you've considered.
|
||||
|
||||
**Additional context**
|
||||
Add any other context or screenshots about the feature request here.
|
24
.github/ISSUE_TEMPLATE/功能建议.md
vendored
@@ -1,24 +0,0 @@
|
||||
---
|
||||
name: 功能建议
|
||||
about: 请告诉我们你的灵光一闪
|
||||
title: "[Feature] "
|
||||
labels: ''
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
> 为了提高交流效率,我们设立了官方 QQ 群和 QQ 频道,如果你在使用或者搭建过程中遇到了任何问题,请先第一时间加群或者频道咨询解决,除非是可以稳定复现的 Bug 或者较为有创意的功能建议,否则请不要随意往 Issue 区发送低质无意义帖子。
|
||||
|
||||
> [点击加入官方群聊](https://github.com/Yidadaa/ChatGPT-Next-Web/discussions/1724)
|
||||
|
||||
**这个功能与现有的问题有关吗?**
|
||||
如果有关,请在此列出链接或者描述问题。
|
||||
|
||||
**你想要什么功能或者有什么建议?**
|
||||
尽管告诉我们。
|
||||
|
||||
**有没有可以参考的同类竞品?**
|
||||
可以给出参考产品的链接或者截图。
|
||||
|
||||
**其他信息**
|
||||
可以说说你的其他考虑。
|
36
.github/ISSUE_TEMPLATE/反馈问题.md
vendored
@@ -1,36 +0,0 @@
|
||||
---
|
||||
name: 反馈问题
|
||||
about: 请告诉我们你遇到的问题
|
||||
title: "[Bug] "
|
||||
labels: ''
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
> 为了提高交流效率,我们设立了官方 QQ 群和 QQ 频道,如果你在使用或者搭建过程中遇到了任何问题,请先第一时间加群或者频道咨询解决,除非是可以稳定复现的 Bug 或者较为有创意的功能建议,否则请不要随意往 Issue 区发送低质无意义帖子。
|
||||
|
||||
> [点击加入官方群聊](https://github.com/Yidadaa/ChatGPT-Next-Web/discussions/1724)
|
||||
|
||||
**反馈须知**
|
||||
|
||||
⚠️ 注意:不遵循此模板的任何帖子都会被立即关闭,如果没有提供下方的信息,我们无法定位你的问题。
|
||||
|
||||
请在下方中括号内输入 x 来表示你已经知晓相关内容。
|
||||
- [ ] 我确认已经在 [常见问题](https://github.com/Yidadaa/ChatGPT-Next-Web/blob/main/docs/faq-cn.md) 中搜索了此次反馈的问题,没有找到解答;
|
||||
- [ ] 我确认已经在 [Issues](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) 列表(包括已经 Close 的)中搜索了此次反馈的问题,没有找到解答。
|
||||
- [ ] 我确认已经在 [Vercel 使用教程](https://github.com/Yidadaa/ChatGPT-Next-Web/blob/main/docs/vercel-cn.md) 中搜索了此次反馈的问题,没有找到解答。
|
||||
|
||||
**描述问题**
|
||||
请在此描述你遇到了什么问题。
|
||||
|
||||
**如何复现**
|
||||
请告诉我们你是通过什么操作触发的该问题。
|
||||
|
||||
**截图**
|
||||
请在此提供控制台截图、屏幕截图或者服务端的 log 截图。
|
||||
|
||||
**一些必要的信息**
|
||||
- 系统:[比如 windows 10/ macos 12/ linux / android 11 / ios 16]
|
||||
- 浏览器: [比如 chrome, safari]
|
||||
- 版本: [填写设置页面的版本号]
|
||||
- 部署方式:[比如 vercel、docker 或者服务器部署]
|
28
.github/PULL_REQUEST_TEMPLATE.md
vendored
Normal file
@@ -0,0 +1,28 @@
|
||||
#### 💻 变更类型 | Change Type
|
||||
|
||||
<!-- For change type, change [ ] to [x]. -->
|
||||
|
||||
- [ ] feat <!-- 引入新功能 | Introduce new features -->
|
||||
- [ ] fix <!-- 修复 Bug | Fix a bug -->
|
||||
- [ ] refactor <!-- 重构代码(既不修复 Bug 也不添加新功能) | Refactor code that neither fixes a bug nor adds a feature -->
|
||||
- [ ] perf <!-- 提升性能的代码变更 | A code change that improves performance -->
|
||||
- [ ] style <!-- 添加或更新不影响代码含义的样式文件 | Add or update style files that do not affect the meaning of the code -->
|
||||
- [ ] test <!-- 添加缺失的测试或纠正现有的测试 | Adding missing tests or correcting existing tests -->
|
||||
- [ ] docs <!-- 仅文档更新 | Documentation only changes -->
|
||||
- [ ] ci <!-- 修改持续集成配置文件和脚本 | Changes to our CI configuration files and scripts -->
|
||||
- [ ] chore <!-- 其他不修改 src 或 test 文件的变更 | Other changes that don’t modify src or test files -->
|
||||
- [ ] build <!-- 进行架构变更 | Make architectural changes -->
|
||||
|
||||
#### 🔀 变更说明 | Description of Change
|
||||
|
||||
<!--
|
||||
感谢您的 Pull Request ,请提供此 Pull Request 的变更说明
|
||||
Thank you for your Pull Request. Please provide a description above.
|
||||
-->
|
||||
|
||||
#### 📝 补充信息 | Additional Information
|
||||
|
||||
<!--
|
||||
请添加与此 Pull Request 相关的补充信息
|
||||
Add any other context about the Pull Request here.
|
||||
-->
|
15
.github/workflows/app.yml
vendored
@@ -43,12 +43,9 @@ jobs:
|
||||
- os: ubuntu-latest
|
||||
arch: x86_64
|
||||
rust_target: x86_64-unknown-linux-gnu
|
||||
- os: macos-latest
|
||||
arch: x86_64
|
||||
rust_target: x86_64-apple-darwin
|
||||
- os: macos-latest
|
||||
arch: aarch64
|
||||
rust_target: aarch64-apple-darwin
|
||||
rust_target: x86_64-apple-darwin,aarch64-apple-darwin
|
||||
- os: windows-latest
|
||||
arch: x86_64
|
||||
rust_target: x86_64-pc-windows-msvc
|
||||
@@ -60,13 +57,14 @@ jobs:
|
||||
uses: actions/setup-node@v3
|
||||
with:
|
||||
node-version: 18
|
||||
cache: 'yarn'
|
||||
- name: install Rust stable
|
||||
uses: dtolnay/rust-toolchain@stable
|
||||
with:
|
||||
targets: ${{ matrix.config.rust_target }}
|
||||
- uses: Swatinem/rust-cache@v2
|
||||
with:
|
||||
key: ${{ matrix.config.rust_target }}
|
||||
key: ${{ matrix.config.os }}
|
||||
- name: install dependencies (ubuntu only)
|
||||
if: matrix.config.os == 'ubuntu-latest'
|
||||
run: |
|
||||
@@ -79,8 +77,15 @@ jobs:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
TAURI_PRIVATE_KEY: ${{ secrets.TAURI_PRIVATE_KEY }}
|
||||
TAURI_KEY_PASSWORD: ${{ secrets.TAURI_KEY_PASSWORD }}
|
||||
APPLE_CERTIFICATE: ${{ secrets.APPLE_CERTIFICATE }}
|
||||
APPLE_CERTIFICATE_PASSWORD: ${{ secrets.APPLE_CERTIFICATE_PASSWORD }}
|
||||
APPLE_SIGNING_IDENTITY: ${{ secrets.APPLE_SIGNING_IDENTITY }}
|
||||
APPLE_ID: ${{ secrets.APPLE_ID }}
|
||||
APPLE_PASSWORD: ${{ secrets.APPLE_PASSWORD }}
|
||||
APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }}
|
||||
with:
|
||||
releaseId: ${{ needs.create-release.outputs.release_id }}
|
||||
args: ${{ matrix.config.os == 'macos-latest' && '--target universal-apple-darwin' || '' }}
|
||||
|
||||
publish-release:
|
||||
permissions:
|
||||
|
27
.github/workflows/deploy_preview.yml
vendored
@@ -1,17 +1,18 @@
|
||||
name: VercelPreviewDeployment
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
branchName:
|
||||
description: 'Branch to deploy'
|
||||
required: true
|
||||
pull_request_target:
|
||||
types:
|
||||
- opened
|
||||
- synchronize
|
||||
- reopened
|
||||
|
||||
env:
|
||||
VERCEL_TEAM: ${{ secrets.VERCEL_TEAM }}
|
||||
VERCEL_TOKEN: ${{ secrets.VERCEL_TOKEN }}
|
||||
VERCEL_ORG_ID: ${{ secrets.VERCEL_ORG_ID }}
|
||||
VERCEL_PROJECT_ID: ${{ secrets.VERCEL_PROJECT_ID }}
|
||||
VERCEL_DOMAIN_SUFFIX: ".pr.nextchat.dev"
|
||||
VERCEL_PR_DOMAIN_SUFFIX: ${{ secrets.VERCEL_PR_DOMAIN_SUFFIX }}
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
@@ -24,7 +25,7 @@ jobs:
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
with:
|
||||
ref: ${{ github.event.inputs.branchName }}
|
||||
ref: ${{ github.event.pull_request.head.sha }}
|
||||
|
||||
- name: Extract branch name
|
||||
shell: bash
|
||||
@@ -40,9 +41,9 @@ jobs:
|
||||
|
||||
- name: Set Environment Variables
|
||||
id: set_env
|
||||
if: github.event_name == 'pull_request'
|
||||
if: github.event_name == 'pull_request_target'
|
||||
run: |
|
||||
echo "VERCEL_ALIAS_DOMAIN=${{ github.event.pull_request.number }}-${{ github.workflow }}.${VERCEL_DOMAIN_SUFFIX}" >> $GITHUB_OUTPUT
|
||||
echo "VERCEL_ALIAS_DOMAIN=${{ github.event.pull_request.number }}-${{ github.workflow }}.${VERCEL_PR_DOMAIN_SUFFIX}" >> $GITHUB_OUTPUT
|
||||
|
||||
- name: Install Vercel CLI
|
||||
run: npm install --global vercel@latest
|
||||
@@ -63,18 +64,16 @@ jobs:
|
||||
env:
|
||||
META_TAG: ${{ steps.hash_branch.outputs.digest }}-${{ github.run_number }}-${{ github.run_attempt}}
|
||||
run: |
|
||||
env
|
||||
set -e
|
||||
vercel pull --yes --environment=preview --token=${VERCEL_TOKEN}
|
||||
vercel build --token=${VERCEL_TOKEN}
|
||||
vercel deploy --prebuilt --archive=tgz --token=${VERCEL_TOKEN} --meta base_hash=${{ env.META_TAG }}
|
||||
|
||||
vercel ls --token=${VERCEL_TOKEN} --meta base_hash=${{ env.META_TAG }} &> vercel-output
|
||||
DEFAULT_URL=$(cat vercel-output | grep http | awk '{print $2}')
|
||||
ALIAS_URL=$(vercel alias set ${DEFAULT_URL} ${{ steps.set_env.outputs.VERCEL_ALIAS_DOMAIN }} --token=${VERCEL_TOKEN} | awk '{print $3}')
|
||||
DEFAULT_URL=$(vercel ls --token=${VERCEL_TOKEN} --meta base_hash=${{ env.META_TAG }})
|
||||
ALIAS_URL=$(vercel alias set ${DEFAULT_URL} ${{ steps.set_env.outputs.VERCEL_ALIAS_DOMAIN }} --token=${VERCEL_TOKEN} --scope ${VERCEL_TEAM}| awk '{print $3}')
|
||||
|
||||
echo "New preview URL: ${DEFAULT_URL}"
|
||||
echo "New alias URL: ${ALIAS_URL}"
|
||||
echo "META_TAG=${META_TAG}"
|
||||
echo "VERCEL_URL=${ALIAS_URL}" >> "$GITHUB_OUTPUT"
|
||||
|
||||
- uses: mshick/add-pr-comment@v2
|
||||
|
2
.github/workflows/remove_deploy_preview.yml
vendored
@@ -11,7 +11,7 @@ env:
|
||||
VERCEL_PROJECT_ID: ${{ secrets.VERCEL_PROJECT_ID }}
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
pull_request_target:
|
||||
types:
|
||||
- closed
|
||||
|
||||
|
2
.gitignore
vendored
@@ -43,4 +43,4 @@ dev
|
||||
.env
|
||||
|
||||
*.key
|
||||
*.key.pub
|
||||
*.key.pub
|
||||
|
@@ -43,7 +43,7 @@ COPY --from=builder /app/.next/server ./.next/server
|
||||
EXPOSE 3000
|
||||
|
||||
CMD if [ -n "$PROXY_URL" ]; then \
|
||||
export HOSTNAME="127.0.0.1"; \
|
||||
export HOSTNAME="0.0.0.0"; \
|
||||
protocol=$(echo $PROXY_URL | cut -d: -f1); \
|
||||
host=$(echo $PROXY_URL | cut -d/ -f3 | cut -d: -f1); \
|
||||
port=$(echo $PROXY_URL | cut -d: -f3); \
|
||||
|
2
LICENSE
@@ -1,6 +1,6 @@
|
||||
MIT License
|
||||
|
||||
Copyright (c) 2023 Zhang Yifei
|
||||
Copyright (c) 2023-2024 Zhang Yifei
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
|
118
README.md
@@ -1,6 +1,8 @@
|
||||
<div align="center">
|
||||
<img src="./docs/images/head-cover.png" alt="icon"/>
|
||||
|
||||
<a href='#企业版'>
|
||||
<img src="./docs/images/ent.svg" alt="icon"/>
|
||||
</a>
|
||||
|
||||
<h1 align="center">NextChat (ChatGPT Next Web)</h1>
|
||||
|
||||
@@ -15,27 +17,49 @@ One-Click to get a well-designed cross-platform ChatGPT web UI, with GPT3, GPT4
|
||||
[![MacOS][MacOS-image]][download-url]
|
||||
[![Linux][Linux-image]][download-url]
|
||||
|
||||
[Web App](https://app.nextchat.dev/) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Discord](https://discord.gg/YCkeafCafC) / [Twitter](https://twitter.com/NextChatDev)
|
||||
[Web App](https://app.nextchat.dev/) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Discord](https://discord.gg/YCkeafCafC) / [Enterprise Edition](#enterprise-edition) / [Twitter](https://twitter.com/NextChatDev)
|
||||
|
||||
[网页版](https://app.nextchat.dev/) / [客户端](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [反馈](https://github.com/Yidadaa/ChatGPT-Next-Web/issues)
|
||||
[网页版](https://app.nextchat.dev/) / [客户端](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [企业版](#%E4%BC%81%E4%B8%9A%E7%89%88) / [反馈](https://github.com/Yidadaa/ChatGPT-Next-Web/issues)
|
||||
|
||||
[web-url]: https://chatgpt.nextweb.fun
|
||||
[web-url]: https://app.nextchat.dev/
|
||||
[download-url]: https://github.com/Yidadaa/ChatGPT-Next-Web/releases
|
||||
[Web-image]: https://img.shields.io/badge/Web-PWA-orange?logo=microsoftedge
|
||||
[Windows-image]: https://img.shields.io/badge/-Windows-blue?logo=windows
|
||||
[MacOS-image]: https://img.shields.io/badge/-MacOS-black?logo=apple
|
||||
[Linux-image]: https://img.shields.io/badge/-Linux-333?logo=ubuntu
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FYidadaa%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&env=GOOGLE_API_KEY&project-name=chatgpt-next-web&repository-name=ChatGPT-Next-Web)
|
||||
|
||||
[](https://zeabur.com/templates/ZBUEFA)
|
||||
|
||||
[](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
|
||||
|
||||

|
||||
[<img src="https://vercel.com/button" alt="Deploy on Zeabur" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
|
||||
|
||||
</div>
|
||||
|
||||
## Enterprise Edition
|
||||
|
||||
Meeting Your Company's Privatization and Customization Deployment Requirements:
|
||||
- **Brand Customization**: Tailored VI/UI to seamlessly align with your corporate brand image.
|
||||
- **Resource Integration**: Unified configuration and management of dozens of AI resources by company administrators, ready for use by team members.
|
||||
- **Permission Control**: Clearly defined member permissions, resource permissions, and knowledge base permissions, all controlled via a corporate-grade Admin Panel.
|
||||
- **Knowledge Integration**: Combining your internal knowledge base with AI capabilities, making it more relevant to your company's specific business needs compared to general AI.
|
||||
- **Security Auditing**: Automatically intercept sensitive inquiries and trace all historical conversation records, ensuring AI adherence to corporate information security standards.
|
||||
- **Private Deployment**: Enterprise-level private deployment supporting various mainstream private cloud solutions, ensuring data security and privacy protection.
|
||||
- **Continuous Updates**: Ongoing updates and upgrades in cutting-edge capabilities like multimodal AI, ensuring consistent innovation and advancement.
|
||||
|
||||
For enterprise inquiries, please contact: **business@nextchat.dev**
|
||||
|
||||
## 企业版
|
||||
|
||||
满足企业用户私有化部署和个性化定制需求:
|
||||
- **品牌定制**:企业量身定制 VI/UI,与企业品牌形象无缝契合
|
||||
- **资源集成**:由企业管理人员统一配置和管理数十种 AI 资源,团队成员开箱即用
|
||||
- **权限管理**:成员权限、资源权限、知识库权限层级分明,企业级 Admin Panel 统一控制
|
||||
- **知识接入**:企业内部知识库与 AI 能力相结合,比通用 AI 更贴近企业自身业务需求
|
||||
- **安全审计**:自动拦截敏感提问,支持追溯全部历史对话记录,让 AI 也能遵循企业信息安全规范
|
||||
- **私有部署**:企业级私有部署,支持各类主流私有云部署,确保数据安全和隐私保护
|
||||
- **持续更新**:提供多模态、智能体等前沿能力持续更新升级服务,常用常新、持续先进
|
||||
|
||||
企业版咨询: **business@nextchat.dev**
|
||||
|
||||
<img width="300" src="https://github.com/user-attachments/assets/3daeb7b6-ab63-4542-9141-2e4a12c80601">
|
||||
|
||||
## Features
|
||||
|
||||
- **Deploy for free with one-click** on Vercel in under 1 minute
|
||||
@@ -50,6 +74,12 @@ One-Click to get a well-designed cross-platform ChatGPT web UI, with GPT3, GPT4
|
||||
- Automatically compresses chat history to support long conversations while also saving your tokens
|
||||
- I18n: English, 简体中文, 繁体中文, 日本語, Français, Español, Italiano, Türkçe, Deutsch, Tiếng Việt, Русский, Čeština, 한국어, Indonesia
|
||||
|
||||
<div align="center">
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
|
||||
## Roadmap
|
||||
|
||||
- [x] System Prompt: pin a user defined prompt as system prompt [#138](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/138)
|
||||
@@ -181,7 +211,7 @@ Specify OpenAI organization ID.
|
||||
|
||||
### `AZURE_URL` (optional)
|
||||
|
||||
> Example: https://{azure-resource-url}/openai/deployments/{deploy-name}
|
||||
> Example: https://{azure-resource-url}/openai
|
||||
|
||||
Azure deploy url.
|
||||
|
||||
@@ -201,6 +231,46 @@ Google Gemini Pro Api Key.
|
||||
|
||||
Google Gemini Pro Api Url.
|
||||
|
||||
### `ANTHROPIC_API_KEY` (optional)
|
||||
|
||||
anthropic claude Api Key.
|
||||
|
||||
### `ANTHROPIC_API_VERSION` (optional)
|
||||
|
||||
anthropic claude Api version.
|
||||
|
||||
### `ANTHROPIC_URL` (optional)
|
||||
|
||||
anthropic claude Api Url.
|
||||
|
||||
### `BAIDU_API_KEY` (optional)
|
||||
|
||||
Baidu Api Key.
|
||||
|
||||
### `BAIDU_SECRET_KEY` (optional)
|
||||
|
||||
Baidu Secret Key.
|
||||
|
||||
### `BAIDU_URL` (optional)
|
||||
|
||||
Baidu Api Url.
|
||||
|
||||
### `BYTEDANCE_API_KEY` (optional)
|
||||
|
||||
ByteDance Api Key.
|
||||
|
||||
### `BYTEDANCE_URL` (optional)
|
||||
|
||||
ByteDance Api Url.
|
||||
|
||||
### `ALIBABA_API_KEY` (optional)
|
||||
|
||||
Alibaba Cloud Api Key.
|
||||
|
||||
### `ALIBABA_URL` (optional)
|
||||
|
||||
Alibaba Cloud Api Url.
|
||||
|
||||
### `HIDE_USER_API_KEY` (optional)
|
||||
|
||||
> Default: Empty
|
||||
@@ -217,7 +287,7 @@ If you do not want users to use GPT-4, set this value to 1.
|
||||
|
||||
> Default: Empty
|
||||
|
||||
If you do want users to query balance, set this value to 1, or you should set it to 0.
|
||||
If you do want users to query balance, set this value to 1.
|
||||
|
||||
### `DISABLE_FAST_LINK` (optional)
|
||||
|
||||
@@ -234,6 +304,28 @@ To control custom models, use `+` to add a custom model, use `-` to hide a model
|
||||
|
||||
User `-all` to disable all default models, `+all` to enable all default models.
|
||||
|
||||
For Azure: use `modelName@azure=deploymentName` to customize model name and deployment name.
|
||||
> Example: `+gpt-3.5-turbo@azure=gpt35` will show option `gpt35(Azure)` in model list.
|
||||
> If you only can use Azure model, `-all,+gpt-3.5-turbo@azure=gpt35` will `gpt35(Azure)` the only option in model list.
|
||||
|
||||
For ByteDance: use `modelName@bytedance=deploymentName` to customize model name and deployment name.
|
||||
> Example: `+Doubao-lite-4k@bytedance=ep-xxxxx-xxx` will show option `Doubao-lite-4k(ByteDance)` in model list.
|
||||
|
||||
### `DEFAULT_MODEL` (optional)
|
||||
|
||||
Change default model
|
||||
|
||||
### `WHITE_WEBDEV_ENDPOINTS` (optional)
|
||||
|
||||
You can use this option if you want to increase the number of webdav service addresses you are allowed to access, as required by the format:
|
||||
- Each address must be a complete endpoint
|
||||
> `https://xxxx/yyy`
|
||||
- Multiple addresses are connected by ', '
|
||||
|
||||
### `DEFAULT_INPUT_TEMPLATE` (optional)
|
||||
|
||||
Customize the default template used to initialize the User Input Preprocessing configuration item in Settings.
|
||||
|
||||
## Requirements
|
||||
|
||||
NodeJS >= 18, Docker >= 20
|
||||
|
105
README_CN.md
@@ -1,22 +1,34 @@
|
||||
<div align="center">
|
||||
<img src="./docs/images/icon.svg" alt="预览"/>
|
||||
|
||||
<a href='#企业版'>
|
||||
<img src="./docs/images/ent.svg" alt="icon"/>
|
||||
</a>
|
||||
|
||||
<h1 align="center">NextChat</h1>
|
||||
|
||||
一键免费部署你的私人 ChatGPT 网页应用,支持 GPT3, GPT4 & Gemini Pro 模型。
|
||||
|
||||
[演示 Demo](https://chat-gpt-next-web.vercel.app/) / [反馈 Issues](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [加入 Discord](https://discord.gg/zrhvHCr79N)
|
||||
[企业版](#%E4%BC%81%E4%B8%9A%E7%89%88) /[演示 Demo](https://chat-gpt-next-web.vercel.app/) / [反馈 Issues](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [加入 Discord](https://discord.gg/zrhvHCr79N)
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FYidadaa%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=chatgpt-next-web&repository-name=ChatGPT-Next-Web)
|
||||
|
||||
[](https://zeabur.com/templates/ZBUEFA)
|
||||
|
||||
[](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
|
||||
|
||||

|
||||
[<img src="https://vercel.com/button" alt="Deploy on Zeabur" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
|
||||
|
||||
</div>
|
||||
|
||||
## 企业版
|
||||
|
||||
满足您公司私有化部署和定制需求
|
||||
- **品牌定制**:企业量身定制 VI/UI,与企业品牌形象无缝契合
|
||||
- **资源集成**:由企业管理人员统一配置和管理数十种 AI 资源,团队成员开箱即用
|
||||
- **权限管理**:成员权限、资源权限、知识库权限层级分明,企业级 Admin Panel 统一控制
|
||||
- **知识接入**:企业内部知识库与 AI 能力相结合,比通用 AI 更贴近企业自身业务需求
|
||||
- **安全审计**:自动拦截敏感提问,支持追溯全部历史对话记录,让 AI 也能遵循企业信息安全规范
|
||||
- **私有部署**:企业级私有部署,支持各类主流私有云部署,确保数据安全和隐私保护
|
||||
- **持续更新**:提供多模态、智能体等前沿能力持续更新升级服务,常用常新、持续先进
|
||||
|
||||
企业版咨询: **business@nextchat.dev**
|
||||
|
||||
<img width="300" src="https://github.com/user-attachments/assets/3daeb7b6-ab63-4542-9141-2e4a12c80601">
|
||||
|
||||
## 开始使用
|
||||
|
||||
1. 准备好你的 [OpenAI API Key](https://platform.openai.com/account/api-keys);
|
||||
@@ -25,6 +37,12 @@
|
||||
3. 部署完毕后,即可开始使用;
|
||||
4. (可选)[绑定自定义域名](https://vercel.com/docs/concepts/projects/domains/add-a-domain):Vercel 分配的域名 DNS 在某些区域被污染了,绑定自定义域名即可直连。
|
||||
|
||||
<div align="center">
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
|
||||
## 保持更新
|
||||
|
||||
如果你按照上述步骤一键部署了自己的项目,可能会发现总是提示“存在更新”的问题,这是由于 Vercel 会默认为你创建一个新项目而不是 fork 本项目,这会导致无法正确地检测更新。
|
||||
@@ -94,7 +112,7 @@ OpenAI 接口代理 URL,如果你手动配置了 openai 接口代理,请填
|
||||
|
||||
### `AZURE_URL` (可选)
|
||||
|
||||
> 形如:https://{azure-resource-url}/openai/deployments/{deploy-name}
|
||||
> 形如:https://{azure-resource-url}/openai
|
||||
|
||||
Azure 部署地址。
|
||||
|
||||
@@ -106,14 +124,54 @@ Azure 密钥。
|
||||
|
||||
Azure Api 版本,你可以在这里找到:[Azure 文档](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#chat-completions)。
|
||||
|
||||
### `GOOGLE_API_KEY` (optional)
|
||||
### `GOOGLE_API_KEY` (可选)
|
||||
|
||||
Google Gemini Pro 密钥.
|
||||
|
||||
### `GOOGLE_URL` (optional)
|
||||
### `GOOGLE_URL` (可选)
|
||||
|
||||
Google Gemini Pro Api Url.
|
||||
|
||||
### `ANTHROPIC_API_KEY` (可选)
|
||||
|
||||
anthropic claude Api Key.
|
||||
|
||||
### `ANTHROPIC_API_VERSION` (可选)
|
||||
|
||||
anthropic claude Api version.
|
||||
|
||||
### `ANTHROPIC_URL` (可选)
|
||||
|
||||
anthropic claude Api Url.
|
||||
|
||||
### `BAIDU_API_KEY` (可选)
|
||||
|
||||
Baidu Api Key.
|
||||
|
||||
### `BAIDU_SECRET_KEY` (可选)
|
||||
|
||||
Baidu Secret Key.
|
||||
|
||||
### `BAIDU_URL` (可选)
|
||||
|
||||
Baidu Api Url.
|
||||
|
||||
### `BYTEDANCE_API_KEY` (可选)
|
||||
|
||||
ByteDance Api Key.
|
||||
|
||||
### `BYTEDANCE_URL` (可选)
|
||||
|
||||
ByteDance Api Url.
|
||||
|
||||
### `ALIBABA_API_KEY` (可选)
|
||||
|
||||
阿里云(千问)Api Key.
|
||||
|
||||
### `ALIBABA_URL` (可选)
|
||||
|
||||
阿里云(千问)Api Url.
|
||||
|
||||
### `HIDE_USER_API_KEY` (可选)
|
||||
|
||||
如果你不想让用户自行填入 API Key,将此环境变量设置为 1 即可。
|
||||
@@ -130,6 +188,13 @@ Google Gemini Pro Api Url.
|
||||
|
||||
如果你想禁用从链接解析预制设置,将此环境变量设置为 1 即可。
|
||||
|
||||
### `WHITE_WEBDEV_ENDPOINTS` (可选)
|
||||
|
||||
如果你想增加允许访问的webdav服务地址,可以使用该选项,格式要求:
|
||||
- 每一个地址必须是一个完整的 endpoint
|
||||
> `https://xxxx/xxx`
|
||||
- 多个地址以`,`相连
|
||||
|
||||
### `CUSTOM_MODELS` (可选)
|
||||
|
||||
> 示例:`+qwen-7b-chat,+glm-6b,-gpt-3.5-turbo,gpt-4-1106-preview=gpt-4-turbo` 表示增加 `qwen-7b-chat` 和 `glm-6b` 到模型列表,而从列表中删除 `gpt-3.5-turbo`,并将 `gpt-4-1106-preview` 模型名字展示为 `gpt-4-turbo`。
|
||||
@@ -137,6 +202,22 @@ Google Gemini Pro Api Url.
|
||||
|
||||
用来控制模型列表,使用 `+` 增加一个模型,使用 `-` 来隐藏一个模型,使用 `模型名=展示名` 来自定义模型的展示名,用英文逗号隔开。
|
||||
|
||||
在Azure的模式下,支持使用`modelName@azure=deploymentName`的方式配置模型名称和部署名称(deploy-name)
|
||||
> 示例:`+gpt-3.5-turbo@azure=gpt35`这个配置会在模型列表显示一个`gpt35(Azure)`的选项。
|
||||
> 如果你只能使用Azure模式,那么设置 `-all,+gpt-3.5-turbo@azure=gpt35` 则可以让对话的默认使用 `gpt35(Azure)`
|
||||
|
||||
在ByteDance的模式下,支持使用`modelName@bytedance=deploymentName`的方式配置模型名称和部署名称(deploy-name)
|
||||
> 示例: `+Doubao-lite-4k@bytedance=ep-xxxxx-xxx`这个配置会在模型列表显示一个`Doubao-lite-4k(ByteDance)`的选项
|
||||
|
||||
|
||||
### `DEFAULT_MODEL` (可选)
|
||||
|
||||
更改默认模型
|
||||
|
||||
### `DEFAULT_INPUT_TEMPLATE` (可选)
|
||||
|
||||
自定义默认的 template,用于初始化『设置』中的『用户输入预处理』配置项
|
||||
|
||||
## 开发
|
||||
|
||||
点击下方按钮,开始二次开发:
|
||||
|
310
README_JA.md
Normal file
@@ -0,0 +1,310 @@
|
||||
<div align="center">
|
||||
<img src="./docs/images/ent.svg" alt="プレビュー"/>
|
||||
|
||||
<h1 align="center">NextChat</h1>
|
||||
|
||||
ワンクリックで無料であなた専用の ChatGPT ウェブアプリをデプロイ。GPT3、GPT4 & Gemini Pro モデルをサポート。
|
||||
|
||||
[企業版](#企業版) / [デモ](https://chat-gpt-next-web.vercel.app/) / [フィードバック](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [Discordに参加](https://discord.gg/zrhvHCr79N)
|
||||
|
||||
[<img src="https://vercel.com/button" alt="Zeaburでデプロイ" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Zeaburでデプロイ" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Gitpodで開く" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
|
||||
|
||||
|
||||
</div>
|
||||
|
||||
## 企業版
|
||||
|
||||
あなたの会社のプライベートデプロイとカスタマイズのニーズに応える
|
||||
- **ブランドカスタマイズ**:企業向けに特別に設計された VI/UI、企業ブランドイメージとシームレスにマッチ
|
||||
- **リソース統合**:企業管理者が数十種類のAIリソースを統一管理、チームメンバーはすぐに使用可能
|
||||
- **権限管理**:メンバーの権限、リソースの権限、ナレッジベースの権限を明確にし、企業レベルのAdmin Panelで統一管理
|
||||
- **知識の統合**:企業内部のナレッジベースとAI機能を結びつけ、汎用AIよりも企業自身の業務ニーズに近づける
|
||||
- **セキュリティ監査**:機密質問を自動的にブロックし、すべての履歴対話を追跡可能にし、AIも企業の情報セキュリティ基準に従わせる
|
||||
- **プライベートデプロイ**:企業レベルのプライベートデプロイ、主要なプライベートクラウドデプロイをサポートし、データのセキュリティとプライバシーを保護
|
||||
- **継続的な更新**:マルチモーダル、エージェントなどの最先端機能を継続的に更新し、常に最新であり続ける
|
||||
|
||||
企業版のお問い合わせ: **business@nextchat.dev**
|
||||
|
||||
|
||||
## 始めに
|
||||
|
||||
1. [OpenAI API Key](https://platform.openai.com/account/api-keys)を準備する;
|
||||
2. 右側のボタンをクリックしてデプロイを開始:
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FYidadaa%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&env=GOOGLE_API_KEY&project-name=chatgpt-next-web&repository-name=ChatGPT-Next-Web) 、GitHubアカウントで直接ログインし、環境変数ページにAPI Keyと[ページアクセスパスワード](#設定ページアクセスパスワード) CODEを入力してください;
|
||||
3. デプロイが完了したら、すぐに使用を開始できます;
|
||||
4. (オプション)[カスタムドメインをバインド](https://vercel.com/docs/concepts/projects/domains/add-a-domain):Vercelが割り当てたドメインDNSは一部の地域で汚染されているため、カスタムドメインをバインドすると直接接続できます。
|
||||
|
||||
<div align="center">
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
|
||||
|
||||
## 更新を維持する
|
||||
|
||||
もし上記の手順に従ってワンクリックでプロジェクトをデプロイした場合、「更新があります」というメッセージが常に表示されることがあります。これは、Vercel がデフォルトで新しいプロジェクトを作成するためで、本プロジェクトを fork していないことが原因です。そのため、正しく更新を検出できません。
|
||||
|
||||
以下の手順に従って再デプロイすることをお勧めします:
|
||||
|
||||
- 元のリポジトリを削除する
|
||||
- ページ右上の fork ボタンを使って、本プロジェクトを fork する
|
||||
- Vercel で再度選択してデプロイする、[詳細な手順はこちらを参照してください](./docs/vercel-ja.md)。
|
||||
|
||||
|
||||
### 自動更新を開く
|
||||
|
||||
> Upstream Sync の実行エラーが発生した場合は、手動で Sync Fork してください!
|
||||
|
||||
プロジェクトを fork した後、GitHub の制限により、fork 後のプロジェクトの Actions ページで Workflows を手動で有効にし、Upstream Sync Action を有効にする必要があります。有効化後、毎時の定期自動更新が可能になります:
|
||||
|
||||

|
||||
|
||||

|
||||
|
||||
|
||||
### 手動でコードを更新する
|
||||
|
||||
手動で即座に更新したい場合は、[GitHub のドキュメント](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork)を参照して、fork したプロジェクトを上流のコードと同期する方法を確認してください。
|
||||
|
||||
このプロジェクトをスターまたはウォッチしたり、作者をフォローすることで、新機能の更新通知をすぐに受け取ることができます。
|
||||
|
||||
|
||||
|
||||
## ページアクセスパスワードを設定する
|
||||
|
||||
> パスワードを設定すると、ユーザーは設定ページでアクセスコードを手動で入力しない限り、通常のチャットができず、未承認の状態であることを示すメッセージが表示されます。
|
||||
|
||||
> **警告**:パスワードの桁数は十分に長く設定してください。7桁以上が望ましいです。さもないと、[ブルートフォース攻撃を受ける可能性があります](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/518)。
|
||||
|
||||
このプロジェクトは限られた権限管理機能を提供しています。Vercel プロジェクトのコントロールパネルで、環境変数ページに `CODE` という名前の環境変数を追加し、値をカンマで区切ったカスタムパスワードに設定してください:
|
||||
|
||||
```
|
||||
code1,code2,code3
|
||||
```
|
||||
|
||||
この環境変数を追加または変更した後、**プロジェクトを再デプロイ**して変更を有効にしてください。
|
||||
|
||||
|
||||
## 環境変数
|
||||
|
||||
> 本プロジェクトのほとんどの設定は環境変数で行います。チュートリアル:[Vercel の環境変数を変更する方法](./docs/vercel-ja.md)。
|
||||
|
||||
### `OPENAI_API_KEY` (必須)
|
||||
|
||||
OpenAI の API キー。OpenAI アカウントページで申請したキーをカンマで区切って複数設定できます。これにより、ランダムにキーが選択されます。
|
||||
|
||||
### `CODE` (オプション)
|
||||
|
||||
アクセスパスワード。カンマで区切って複数設定可能。
|
||||
|
||||
**警告**:この項目を設定しないと、誰でもデプロイしたウェブサイトを利用でき、トークンが急速に消耗する可能性があるため、設定をお勧めします。
|
||||
|
||||
### `BASE_URL` (オプション)
|
||||
|
||||
> デフォルト: `https://api.openai.com`
|
||||
|
||||
> 例: `http://your-openai-proxy.com`
|
||||
|
||||
OpenAI API のプロキシ URL。手動で OpenAI API のプロキシを設定している場合はこのオプションを設定してください。
|
||||
|
||||
> SSL 証明書の問題がある場合は、`BASE_URL` のプロトコルを http に設定してください。
|
||||
|
||||
### `OPENAI_ORG_ID` (オプション)
|
||||
|
||||
OpenAI の組織 ID を指定します。
|
||||
|
||||
### `AZURE_URL` (オプション)
|
||||
|
||||
> 形式: https://{azure-resource-url}/openai/deployments/{deploy-name}
|
||||
> `CUSTOM_MODELS` で `displayName` 形式で {deploy-name} を設定した場合、`AZURE_URL` から {deploy-name} を省略できます。
|
||||
|
||||
Azure のデプロイ URL。
|
||||
|
||||
### `AZURE_API_KEY` (オプション)
|
||||
|
||||
Azure の API キー。
|
||||
|
||||
### `AZURE_API_VERSION` (オプション)
|
||||
|
||||
Azure API バージョン。[Azure ドキュメント](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#chat-completions)で確認できます。
|
||||
|
||||
### `GOOGLE_API_KEY` (オプション)
|
||||
|
||||
Google Gemini Pro API キー。
|
||||
|
||||
### `GOOGLE_URL` (オプション)
|
||||
|
||||
Google Gemini Pro API の URL。
|
||||
|
||||
### `ANTHROPIC_API_KEY` (オプション)
|
||||
|
||||
Anthropic Claude API キー。
|
||||
|
||||
### `ANTHROPIC_API_VERSION` (オプション)
|
||||
|
||||
Anthropic Claude API バージョン。
|
||||
|
||||
### `ANTHROPIC_URL` (オプション)
|
||||
|
||||
Anthropic Claude API の URL。
|
||||
|
||||
### `BAIDU_API_KEY` (オプション)
|
||||
|
||||
Baidu API キー。
|
||||
|
||||
### `BAIDU_SECRET_KEY` (オプション)
|
||||
|
||||
Baidu シークレットキー。
|
||||
|
||||
### `BAIDU_URL` (オプション)
|
||||
|
||||
Baidu API の URL。
|
||||
|
||||
### `BYTEDANCE_API_KEY` (オプション)
|
||||
|
||||
ByteDance API キー。
|
||||
|
||||
### `BYTEDANCE_URL` (オプション)
|
||||
|
||||
ByteDance API の URL。
|
||||
|
||||
### `ALIBABA_API_KEY` (オプション)
|
||||
|
||||
アリババ(千问)API キー。
|
||||
|
||||
### `ALIBABA_URL` (オプション)
|
||||
|
||||
アリババ(千问)API の URL。
|
||||
|
||||
### `HIDE_USER_API_KEY` (オプション)
|
||||
|
||||
ユーザーが API キーを入力できないようにしたい場合は、この環境変数を 1 に設定します。
|
||||
|
||||
### `DISABLE_GPT4` (オプション)
|
||||
|
||||
ユーザーが GPT-4 を使用できないようにしたい場合は、この環境変数を 1 に設定します。
|
||||
|
||||
### `ENABLE_BALANCE_QUERY` (オプション)
|
||||
|
||||
バランスクエリ機能を有効にしたい場合は、この環境変数を 1 に設定します。
|
||||
|
||||
### `DISABLE_FAST_LINK` (オプション)
|
||||
|
||||
リンクからのプリセット設定解析を無効にしたい場合は、この環境変数を 1 に設定します。
|
||||
|
||||
### `WHITE_WEBDEV_ENDPOINTS` (オプション)
|
||||
|
||||
アクセス許可を与える WebDAV サービスのアドレスを追加したい場合、このオプションを使用します。フォーマット要件:
|
||||
- 各アドレスは完全なエンドポイントでなければなりません。
|
||||
> `https://xxxx/xxx`
|
||||
- 複数のアドレスは `,` で接続します。
|
||||
|
||||
### `CUSTOM_MODELS` (オプション)
|
||||
|
||||
> 例:`+qwen-7b-chat,+glm-6b,-gpt-3.5-turbo,gpt-4-1106-preview=gpt-4-turbo` は `qwen-7b-chat` と `glm-6b` をモデルリストに追加し、`gpt-3.5-turbo` を削除し、`gpt-4-1106-preview` のモデル名を `gpt-4-turbo` として表示します。
|
||||
> すべてのモデルを無効にし、特定のモデルを有効にしたい場合は、`-all,+gpt-3.5-turbo` を使用します。これは `gpt-3.5-turbo` のみを有効にすることを意味します。
|
||||
|
||||
モデルリストを管理します。`+` でモデルを追加し、`-` でモデルを非表示にし、`モデル名=表示名` でモデルの表示名をカスタマイズし、カンマで区切ります。
|
||||
|
||||
Azure モードでは、`modelName@azure=deploymentName` 形式でモデル名とデプロイ名(deploy-name)を設定できます。
|
||||
> 例:`+gpt-3.5-turbo@azure=gpt35` この設定でモデルリストに `gpt35(Azure)` のオプションが表示されます。
|
||||
|
||||
ByteDance モードでは、`modelName@bytedance=deploymentName` 形式でモデル名とデプロイ名(deploy-name)を設定できます。
|
||||
> 例: `+Doubao-lite-4k@bytedance=ep-xxxxx-xxx` この設定でモデルリストに `Doubao-lite-4k(ByteDance)` のオプションが表示されます。
|
||||
|
||||
### `DEFAULT_MODEL` (オプション)
|
||||
|
||||
デフォルトのモデルを変更します。
|
||||
|
||||
### `DEFAULT_INPUT_TEMPLATE` (オプション)
|
||||
|
||||
『設定』の『ユーザー入力前処理』の初期設定に使用するテンプレートをカスタマイズします。
|
||||
|
||||
|
||||
## 開発
|
||||
|
||||
下のボタンをクリックして二次開発を開始してください:
|
||||
|
||||
[](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
|
||||
|
||||
コードを書く前に、プロジェクトのルートディレクトリに `.env.local` ファイルを新規作成し、環境変数を記入します:
|
||||
|
||||
```
|
||||
OPENAI_API_KEY=<your api key here>
|
||||
```
|
||||
|
||||
|
||||
### ローカル開発
|
||||
|
||||
1. Node.js 18 と Yarn をインストールします。具体的な方法は ChatGPT にお尋ねください。
|
||||
2. `yarn install && yarn dev` を実行します。⚠️ 注意:このコマンドはローカル開発用であり、デプロイには使用しないでください。
|
||||
3. ローカルでデプロイしたい場合は、`yarn install && yarn build && yarn start` コマンドを使用してください。プロセスを守るために pm2 を使用することもできます。詳細は ChatGPT にお尋ねください。
|
||||
|
||||
|
||||
## デプロイ
|
||||
|
||||
### コンテナデプロイ(推奨)
|
||||
|
||||
> Docker バージョンは 20 以上が必要です。それ以下だとイメージが見つからないというエラーが出ます。
|
||||
|
||||
> ⚠️ 注意:Docker バージョンは最新バージョンより 1~2 日遅れることが多いため、デプロイ後に「更新があります」の通知が出続けることがありますが、正常です。
|
||||
|
||||
```shell
|
||||
docker pull yidadaa/chatgpt-next-web
|
||||
|
||||
docker run -d -p 3000:3000 \
|
||||
-e OPENAI_API_KEY=sk-xxxx \
|
||||
-e CODE=ページアクセスパスワード \
|
||||
yidadaa/chatgpt-next-web
|
||||
```
|
||||
|
||||
プロキシを指定することもできます:
|
||||
|
||||
```shell
|
||||
docker run -d -p 3000:3000 \
|
||||
-e OPENAI_API_KEY=sk-xxxx \
|
||||
-e CODE=ページアクセスパスワード \
|
||||
--net=host \
|
||||
-e PROXY_URL=http://127.0.0.1:7890 \
|
||||
yidadaa/chatgpt-next-web
|
||||
```
|
||||
|
||||
ローカルプロキシがアカウントとパスワードを必要とする場合は、以下を使用できます:
|
||||
|
||||
```shell
|
||||
-e PROXY_URL="http://127.0.0.1:7890 user password"
|
||||
```
|
||||
|
||||
他の環境変数を指定する必要がある場合は、上記のコマンドに `-e 環境変数=環境変数値` を追加して指定してください。
|
||||
|
||||
|
||||
### ローカルデプロイ
|
||||
|
||||
コンソールで以下のコマンドを実行します:
|
||||
|
||||
```shell
|
||||
bash <(curl -s https://raw.githubusercontent.com/Yidadaa/ChatGPT-Next-Web/main/scripts/setup.sh)
|
||||
```
|
||||
|
||||
⚠️ 注意:インストール中に問題が発生した場合は、Docker を使用してデプロイしてください。
|
||||
|
||||
|
||||
## 謝辞
|
||||
|
||||
### 寄付者
|
||||
|
||||
> 英語版をご覧ください。
|
||||
|
||||
### 貢献者
|
||||
|
||||
[プロジェクトの貢献者リストはこちら](https://github.com/Yidadaa/ChatGPT-Next-Web/graphs/contributors)
|
||||
|
||||
### 関連プロジェクト
|
||||
|
||||
- [one-api](https://github.com/songquanpeng/one-api): 一つのプラットフォームで大規模モデルのクォータ管理を提供し、市場に出回っているすべての主要な大規模言語モデルをサポートします。
|
||||
|
||||
|
||||
## オープンソースライセンス
|
||||
|
||||
[MIT](https://opensource.org/license/mit/)
|
155
app/api/alibaba/[...path]/route.ts
Normal file
@@ -0,0 +1,155 @@
|
||||
import { getServerSideConfig } from "@/app/config/server";
|
||||
import {
|
||||
Alibaba,
|
||||
ALIBABA_BASE_URL,
|
||||
ApiPath,
|
||||
ModelProvider,
|
||||
ServiceProvider,
|
||||
} from "@/app/constant";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { NextRequest, NextResponse } from "next/server";
|
||||
import { auth } from "@/app/api/auth";
|
||||
import { isModelAvailableInServer } from "@/app/utils/model";
|
||||
import type { RequestPayload } from "@/app/client/platforms/openai";
|
||||
|
||||
const serverConfig = getServerSideConfig();
|
||||
|
||||
async function handle(
|
||||
req: NextRequest,
|
||||
{ params }: { params: { path: string[] } },
|
||||
) {
|
||||
console.log("[Alibaba Route] params ", params);
|
||||
|
||||
if (req.method === "OPTIONS") {
|
||||
return NextResponse.json({ body: "OK" }, { status: 200 });
|
||||
}
|
||||
|
||||
const authResult = auth(req, ModelProvider.Qwen);
|
||||
if (authResult.error) {
|
||||
return NextResponse.json(authResult, {
|
||||
status: 401,
|
||||
});
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await request(req);
|
||||
return response;
|
||||
} catch (e) {
|
||||
console.error("[Alibaba] ", e);
|
||||
return NextResponse.json(prettyObject(e));
|
||||
}
|
||||
}
|
||||
|
||||
export const GET = handle;
|
||||
export const POST = handle;
|
||||
|
||||
export const runtime = "edge";
|
||||
export const preferredRegion = [
|
||||
"arn1",
|
||||
"bom1",
|
||||
"cdg1",
|
||||
"cle1",
|
||||
"cpt1",
|
||||
"dub1",
|
||||
"fra1",
|
||||
"gru1",
|
||||
"hnd1",
|
||||
"iad1",
|
||||
"icn1",
|
||||
"kix1",
|
||||
"lhr1",
|
||||
"pdx1",
|
||||
"sfo1",
|
||||
"sin1",
|
||||
"syd1",
|
||||
];
|
||||
|
||||
async function request(req: NextRequest) {
|
||||
const controller = new AbortController();
|
||||
|
||||
// alibaba use base url or just remove the path
|
||||
let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.Alibaba, "");
|
||||
|
||||
let baseUrl = serverConfig.alibabaUrl || ALIBABA_BASE_URL;
|
||||
|
||||
if (!baseUrl.startsWith("http")) {
|
||||
baseUrl = `https://${baseUrl}`;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, -1);
|
||||
}
|
||||
|
||||
console.log("[Proxy] ", path);
|
||||
console.log("[Base Url]", baseUrl);
|
||||
|
||||
const timeoutId = setTimeout(
|
||||
() => {
|
||||
controller.abort();
|
||||
},
|
||||
10 * 60 * 1000,
|
||||
);
|
||||
|
||||
const fetchUrl = `${baseUrl}${path}`;
|
||||
const fetchOptions: RequestInit = {
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
Authorization: req.headers.get("Authorization") ?? "",
|
||||
"X-DashScope-SSE": req.headers.get("X-DashScope-SSE") ?? "disable",
|
||||
},
|
||||
method: req.method,
|
||||
body: req.body,
|
||||
redirect: "manual",
|
||||
// @ts-ignore
|
||||
duplex: "half",
|
||||
signal: controller.signal,
|
||||
};
|
||||
|
||||
// #1815 try to refuse some request to some models
|
||||
if (serverConfig.customModels && req.body) {
|
||||
try {
|
||||
const clonedBody = await req.text();
|
||||
fetchOptions.body = clonedBody;
|
||||
|
||||
const jsonBody = JSON.parse(clonedBody) as { model?: string };
|
||||
|
||||
// not undefined and is false
|
||||
if (
|
||||
isModelAvailableInServer(
|
||||
serverConfig.customModels,
|
||||
jsonBody?.model as string,
|
||||
ServiceProvider.Alibaba as string,
|
||||
)
|
||||
) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
message: `you are not allowed to use ${jsonBody?.model} model`,
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(`[Alibaba] filter`, e);
|
||||
}
|
||||
}
|
||||
try {
|
||||
const res = await fetch(fetchUrl, fetchOptions);
|
||||
|
||||
// to prevent browser prompt for credentials
|
||||
const newHeaders = new Headers(res.headers);
|
||||
newHeaders.delete("www-authenticate");
|
||||
// to disable nginx buffering
|
||||
newHeaders.set("X-Accel-Buffering", "no");
|
||||
|
||||
return new Response(res.body, {
|
||||
status: res.status,
|
||||
statusText: res.statusText,
|
||||
headers: newHeaders,
|
||||
});
|
||||
} finally {
|
||||
clearTimeout(timeoutId);
|
||||
}
|
||||
}
|
194
app/api/anthropic/[...path]/route.ts
Normal file
@@ -0,0 +1,194 @@
|
||||
import { getServerSideConfig } from "@/app/config/server";
|
||||
import {
|
||||
ANTHROPIC_BASE_URL,
|
||||
Anthropic,
|
||||
ApiPath,
|
||||
DEFAULT_MODELS,
|
||||
ServiceProvider,
|
||||
ModelProvider,
|
||||
} from "@/app/constant";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { NextRequest, NextResponse } from "next/server";
|
||||
import { auth } from "../../auth";
|
||||
import { isModelAvailableInServer } from "@/app/utils/model";
|
||||
import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
|
||||
|
||||
const ALLOWD_PATH = new Set([Anthropic.ChatPath, Anthropic.ChatPath1]);
|
||||
|
||||
async function handle(
|
||||
req: NextRequest,
|
||||
{ params }: { params: { path: string[] } },
|
||||
) {
|
||||
console.log("[Anthropic Route] params ", params);
|
||||
|
||||
if (req.method === "OPTIONS") {
|
||||
return NextResponse.json({ body: "OK" }, { status: 200 });
|
||||
}
|
||||
|
||||
const subpath = params.path.join("/");
|
||||
|
||||
if (!ALLOWD_PATH.has(subpath)) {
|
||||
console.log("[Anthropic Route] forbidden path ", subpath);
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
msg: "you are not allowed to request " + subpath,
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
const authResult = auth(req, ModelProvider.Claude);
|
||||
if (authResult.error) {
|
||||
return NextResponse.json(authResult, {
|
||||
status: 401,
|
||||
});
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await request(req);
|
||||
return response;
|
||||
} catch (e) {
|
||||
console.error("[Anthropic] ", e);
|
||||
return NextResponse.json(prettyObject(e));
|
||||
}
|
||||
}
|
||||
|
||||
export const GET = handle;
|
||||
export const POST = handle;
|
||||
|
||||
export const runtime = "edge";
|
||||
export const preferredRegion = [
|
||||
"arn1",
|
||||
"bom1",
|
||||
"cdg1",
|
||||
"cle1",
|
||||
"cpt1",
|
||||
"dub1",
|
||||
"fra1",
|
||||
"gru1",
|
||||
"hnd1",
|
||||
"iad1",
|
||||
"icn1",
|
||||
"kix1",
|
||||
"lhr1",
|
||||
"pdx1",
|
||||
"sfo1",
|
||||
"sin1",
|
||||
"syd1",
|
||||
];
|
||||
|
||||
const serverConfig = getServerSideConfig();
|
||||
|
||||
async function request(req: NextRequest) {
|
||||
const controller = new AbortController();
|
||||
|
||||
let authHeaderName = "x-api-key";
|
||||
let authValue =
|
||||
req.headers.get(authHeaderName) ||
|
||||
req.headers.get("Authorization")?.replaceAll("Bearer ", "").trim() ||
|
||||
serverConfig.anthropicApiKey ||
|
||||
"";
|
||||
|
||||
let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.Anthropic, "");
|
||||
|
||||
let baseUrl =
|
||||
serverConfig.anthropicUrl || serverConfig.baseUrl || ANTHROPIC_BASE_URL;
|
||||
|
||||
if (!baseUrl.startsWith("http")) {
|
||||
baseUrl = `https://${baseUrl}`;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, -1);
|
||||
}
|
||||
|
||||
console.log("[Proxy] ", path);
|
||||
console.log("[Base Url]", baseUrl);
|
||||
|
||||
const timeoutId = setTimeout(
|
||||
() => {
|
||||
controller.abort();
|
||||
},
|
||||
10 * 60 * 1000,
|
||||
);
|
||||
|
||||
// try rebuild url, when using cloudflare ai gateway in server
|
||||
const fetchUrl = cloudflareAIGatewayUrl(`${baseUrl}${path}`);
|
||||
|
||||
const fetchOptions: RequestInit = {
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
"Cache-Control": "no-store",
|
||||
[authHeaderName]: authValue,
|
||||
"anthropic-version":
|
||||
req.headers.get("anthropic-version") ||
|
||||
serverConfig.anthropicApiVersion ||
|
||||
Anthropic.Vision,
|
||||
},
|
||||
method: req.method,
|
||||
body: req.body,
|
||||
redirect: "manual",
|
||||
// @ts-ignore
|
||||
duplex: "half",
|
||||
signal: controller.signal,
|
||||
};
|
||||
|
||||
// #1815 try to refuse some request to some models
|
||||
if (serverConfig.customModels && req.body) {
|
||||
try {
|
||||
const clonedBody = await req.text();
|
||||
fetchOptions.body = clonedBody;
|
||||
|
||||
const jsonBody = JSON.parse(clonedBody) as { model?: string };
|
||||
|
||||
// not undefined and is false
|
||||
if (
|
||||
isModelAvailableInServer(
|
||||
serverConfig.customModels,
|
||||
jsonBody?.model as string,
|
||||
ServiceProvider.Anthropic as string,
|
||||
)
|
||||
) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
message: `you are not allowed to use ${jsonBody?.model} model`,
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(`[Anthropic] filter`, e);
|
||||
}
|
||||
}
|
||||
// console.log("[Anthropic request]", fetchOptions.headers, req.method);
|
||||
try {
|
||||
const res = await fetch(fetchUrl, fetchOptions);
|
||||
|
||||
// console.log(
|
||||
// "[Anthropic response]",
|
||||
// res.status,
|
||||
// " ",
|
||||
// res.headers,
|
||||
// res.url,
|
||||
// );
|
||||
// to prevent browser prompt for credentials
|
||||
const newHeaders = new Headers(res.headers);
|
||||
newHeaders.delete("www-authenticate");
|
||||
// to disable nginx buffering
|
||||
newHeaders.set("X-Accel-Buffering", "no");
|
||||
|
||||
return new Response(res.body, {
|
||||
status: res.status,
|
||||
statusText: res.statusText,
|
||||
headers: newHeaders,
|
||||
});
|
||||
} finally {
|
||||
clearTimeout(timeoutId);
|
||||
}
|
||||
}
|
@@ -57,12 +57,40 @@ export function auth(req: NextRequest, modelProvider: ModelProvider) {
|
||||
if (!apiKey) {
|
||||
const serverConfig = getServerSideConfig();
|
||||
|
||||
const systemApiKey =
|
||||
modelProvider === ModelProvider.GeminiPro
|
||||
? serverConfig.googleApiKey
|
||||
: serverConfig.isAzure
|
||||
? serverConfig.azureApiKey
|
||||
: serverConfig.apiKey;
|
||||
// const systemApiKey =
|
||||
// modelProvider === ModelProvider.GeminiPro
|
||||
// ? serverConfig.googleApiKey
|
||||
// : serverConfig.isAzure
|
||||
// ? serverConfig.azureApiKey
|
||||
// : serverConfig.apiKey;
|
||||
|
||||
let systemApiKey: string | undefined;
|
||||
|
||||
switch (modelProvider) {
|
||||
case ModelProvider.GeminiPro:
|
||||
systemApiKey = serverConfig.googleApiKey;
|
||||
break;
|
||||
case ModelProvider.Claude:
|
||||
systemApiKey = serverConfig.anthropicApiKey;
|
||||
break;
|
||||
case ModelProvider.Doubao:
|
||||
systemApiKey = serverConfig.bytedanceApiKey;
|
||||
break;
|
||||
case ModelProvider.Ernie:
|
||||
systemApiKey = serverConfig.baiduApiKey;
|
||||
break;
|
||||
case ModelProvider.Qwen:
|
||||
systemApiKey = serverConfig.alibabaApiKey;
|
||||
break;
|
||||
case ModelProvider.GPT:
|
||||
default:
|
||||
if (req.nextUrl.pathname.includes("azure/deployments")) {
|
||||
systemApiKey = serverConfig.azureApiKey;
|
||||
} else {
|
||||
systemApiKey = serverConfig.apiKey;
|
||||
}
|
||||
}
|
||||
|
||||
if (systemApiKey) {
|
||||
console.log("[Auth] use system api key");
|
||||
req.headers.set("Authorization", `Bearer ${systemApiKey}`);
|
||||
|
57
app/api/azure/[...path]/route.ts
Normal file
@@ -0,0 +1,57 @@
|
||||
import { getServerSideConfig } from "@/app/config/server";
|
||||
import { ModelProvider } from "@/app/constant";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { NextRequest, NextResponse } from "next/server";
|
||||
import { auth } from "../../auth";
|
||||
import { requestOpenai } from "../../common";
|
||||
|
||||
async function handle(
|
||||
req: NextRequest,
|
||||
{ params }: { params: { path: string[] } },
|
||||
) {
|
||||
console.log("[Azure Route] params ", params);
|
||||
|
||||
if (req.method === "OPTIONS") {
|
||||
return NextResponse.json({ body: "OK" }, { status: 200 });
|
||||
}
|
||||
|
||||
const subpath = params.path.join("/");
|
||||
|
||||
const authResult = auth(req, ModelProvider.GPT);
|
||||
if (authResult.error) {
|
||||
return NextResponse.json(authResult, {
|
||||
status: 401,
|
||||
});
|
||||
}
|
||||
|
||||
try {
|
||||
return await requestOpenai(req);
|
||||
} catch (e) {
|
||||
console.error("[Azure] ", e);
|
||||
return NextResponse.json(prettyObject(e));
|
||||
}
|
||||
}
|
||||
|
||||
export const GET = handle;
|
||||
export const POST = handle;
|
||||
|
||||
export const runtime = "edge";
|
||||
export const preferredRegion = [
|
||||
"arn1",
|
||||
"bom1",
|
||||
"cdg1",
|
||||
"cle1",
|
||||
"cpt1",
|
||||
"dub1",
|
||||
"fra1",
|
||||
"gru1",
|
||||
"hnd1",
|
||||
"iad1",
|
||||
"icn1",
|
||||
"kix1",
|
||||
"lhr1",
|
||||
"pdx1",
|
||||
"sfo1",
|
||||
"sin1",
|
||||
"syd1",
|
||||
];
|
169
app/api/baidu/[...path]/route.ts
Normal file
@@ -0,0 +1,169 @@
|
||||
import { getServerSideConfig } from "@/app/config/server";
|
||||
import {
|
||||
BAIDU_BASE_URL,
|
||||
ApiPath,
|
||||
ModelProvider,
|
||||
BAIDU_OATUH_URL,
|
||||
ServiceProvider,
|
||||
} from "@/app/constant";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { NextRequest, NextResponse } from "next/server";
|
||||
import { auth } from "@/app/api/auth";
|
||||
import { isModelAvailableInServer } from "@/app/utils/model";
|
||||
import { getAccessToken } from "@/app/utils/baidu";
|
||||
|
||||
const serverConfig = getServerSideConfig();
|
||||
|
||||
async function handle(
|
||||
req: NextRequest,
|
||||
{ params }: { params: { path: string[] } },
|
||||
) {
|
||||
console.log("[Baidu Route] params ", params);
|
||||
|
||||
if (req.method === "OPTIONS") {
|
||||
return NextResponse.json({ body: "OK" }, { status: 200 });
|
||||
}
|
||||
|
||||
const authResult = auth(req, ModelProvider.Ernie);
|
||||
if (authResult.error) {
|
||||
return NextResponse.json(authResult, {
|
||||
status: 401,
|
||||
});
|
||||
}
|
||||
|
||||
if (!serverConfig.baiduApiKey || !serverConfig.baiduSecretKey) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
message: `missing BAIDU_API_KEY or BAIDU_SECRET_KEY in server env vars`,
|
||||
},
|
||||
{
|
||||
status: 401,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await request(req);
|
||||
return response;
|
||||
} catch (e) {
|
||||
console.error("[Baidu] ", e);
|
||||
return NextResponse.json(prettyObject(e));
|
||||
}
|
||||
}
|
||||
|
||||
export const GET = handle;
|
||||
export const POST = handle;
|
||||
|
||||
export const runtime = "edge";
|
||||
export const preferredRegion = [
|
||||
"arn1",
|
||||
"bom1",
|
||||
"cdg1",
|
||||
"cle1",
|
||||
"cpt1",
|
||||
"dub1",
|
||||
"fra1",
|
||||
"gru1",
|
||||
"hnd1",
|
||||
"iad1",
|
||||
"icn1",
|
||||
"kix1",
|
||||
"lhr1",
|
||||
"pdx1",
|
||||
"sfo1",
|
||||
"sin1",
|
||||
"syd1",
|
||||
];
|
||||
|
||||
async function request(req: NextRequest) {
|
||||
const controller = new AbortController();
|
||||
|
||||
let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.Baidu, "");
|
||||
|
||||
let baseUrl = serverConfig.baiduUrl || BAIDU_BASE_URL;
|
||||
|
||||
if (!baseUrl.startsWith("http")) {
|
||||
baseUrl = `https://${baseUrl}`;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, -1);
|
||||
}
|
||||
|
||||
console.log("[Proxy] ", path);
|
||||
console.log("[Base Url]", baseUrl);
|
||||
|
||||
const timeoutId = setTimeout(
|
||||
() => {
|
||||
controller.abort();
|
||||
},
|
||||
10 * 60 * 1000,
|
||||
);
|
||||
|
||||
const { access_token } = await getAccessToken(
|
||||
serverConfig.baiduApiKey as string,
|
||||
serverConfig.baiduSecretKey as string,
|
||||
);
|
||||
const fetchUrl = `${baseUrl}${path}?access_token=${access_token}`;
|
||||
|
||||
const fetchOptions: RequestInit = {
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
method: req.method,
|
||||
body: req.body,
|
||||
redirect: "manual",
|
||||
// @ts-ignore
|
||||
duplex: "half",
|
||||
signal: controller.signal,
|
||||
};
|
||||
|
||||
// #1815 try to refuse some request to some models
|
||||
if (serverConfig.customModels && req.body) {
|
||||
try {
|
||||
const clonedBody = await req.text();
|
||||
fetchOptions.body = clonedBody;
|
||||
|
||||
const jsonBody = JSON.parse(clonedBody) as { model?: string };
|
||||
|
||||
// not undefined and is false
|
||||
if (
|
||||
isModelAvailableInServer(
|
||||
serverConfig.customModels,
|
||||
jsonBody?.model as string,
|
||||
ServiceProvider.Baidu as string,
|
||||
)
|
||||
) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
message: `you are not allowed to use ${jsonBody?.model} model`,
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(`[Baidu] filter`, e);
|
||||
}
|
||||
}
|
||||
try {
|
||||
const res = await fetch(fetchUrl, fetchOptions);
|
||||
|
||||
// to prevent browser prompt for credentials
|
||||
const newHeaders = new Headers(res.headers);
|
||||
newHeaders.delete("www-authenticate");
|
||||
// to disable nginx buffering
|
||||
newHeaders.set("X-Accel-Buffering", "no");
|
||||
|
||||
return new Response(res.body, {
|
||||
status: res.status,
|
||||
statusText: res.statusText,
|
||||
headers: newHeaders,
|
||||
});
|
||||
} finally {
|
||||
clearTimeout(timeoutId);
|
||||
}
|
||||
}
|
153
app/api/bytedance/[...path]/route.ts
Normal file
@@ -0,0 +1,153 @@
|
||||
import { getServerSideConfig } from "@/app/config/server";
|
||||
import {
|
||||
BYTEDANCE_BASE_URL,
|
||||
ApiPath,
|
||||
ModelProvider,
|
||||
ServiceProvider,
|
||||
} from "@/app/constant";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { NextRequest, NextResponse } from "next/server";
|
||||
import { auth } from "@/app/api/auth";
|
||||
import { isModelAvailableInServer } from "@/app/utils/model";
|
||||
|
||||
const serverConfig = getServerSideConfig();
|
||||
|
||||
async function handle(
|
||||
req: NextRequest,
|
||||
{ params }: { params: { path: string[] } },
|
||||
) {
|
||||
console.log("[ByteDance Route] params ", params);
|
||||
|
||||
if (req.method === "OPTIONS") {
|
||||
return NextResponse.json({ body: "OK" }, { status: 200 });
|
||||
}
|
||||
|
||||
const authResult = auth(req, ModelProvider.Doubao);
|
||||
if (authResult.error) {
|
||||
return NextResponse.json(authResult, {
|
||||
status: 401,
|
||||
});
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await request(req);
|
||||
return response;
|
||||
} catch (e) {
|
||||
console.error("[ByteDance] ", e);
|
||||
return NextResponse.json(prettyObject(e));
|
||||
}
|
||||
}
|
||||
|
||||
export const GET = handle;
|
||||
export const POST = handle;
|
||||
|
||||
export const runtime = "edge";
|
||||
export const preferredRegion = [
|
||||
"arn1",
|
||||
"bom1",
|
||||
"cdg1",
|
||||
"cle1",
|
||||
"cpt1",
|
||||
"dub1",
|
||||
"fra1",
|
||||
"gru1",
|
||||
"hnd1",
|
||||
"iad1",
|
||||
"icn1",
|
||||
"kix1",
|
||||
"lhr1",
|
||||
"pdx1",
|
||||
"sfo1",
|
||||
"sin1",
|
||||
"syd1",
|
||||
];
|
||||
|
||||
async function request(req: NextRequest) {
|
||||
const controller = new AbortController();
|
||||
|
||||
let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.ByteDance, "");
|
||||
|
||||
let baseUrl = serverConfig.bytedanceUrl || BYTEDANCE_BASE_URL;
|
||||
|
||||
if (!baseUrl.startsWith("http")) {
|
||||
baseUrl = `https://${baseUrl}`;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, -1);
|
||||
}
|
||||
|
||||
console.log("[Proxy] ", path);
|
||||
console.log("[Base Url]", baseUrl);
|
||||
|
||||
const timeoutId = setTimeout(
|
||||
() => {
|
||||
controller.abort();
|
||||
},
|
||||
10 * 60 * 1000,
|
||||
);
|
||||
|
||||
const fetchUrl = `${baseUrl}${path}`;
|
||||
|
||||
const fetchOptions: RequestInit = {
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
Authorization: req.headers.get("Authorization") ?? "",
|
||||
},
|
||||
method: req.method,
|
||||
body: req.body,
|
||||
redirect: "manual",
|
||||
// @ts-ignore
|
||||
duplex: "half",
|
||||
signal: controller.signal,
|
||||
};
|
||||
|
||||
// #1815 try to refuse some request to some models
|
||||
if (serverConfig.customModels && req.body) {
|
||||
try {
|
||||
const clonedBody = await req.text();
|
||||
fetchOptions.body = clonedBody;
|
||||
|
||||
const jsonBody = JSON.parse(clonedBody) as { model?: string };
|
||||
|
||||
// not undefined and is false
|
||||
if (
|
||||
isModelAvailableInServer(
|
||||
serverConfig.customModels,
|
||||
jsonBody?.model as string,
|
||||
ServiceProvider.ByteDance as string,
|
||||
)
|
||||
) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
message: `you are not allowed to use ${jsonBody?.model} model`,
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(`[ByteDance] filter`, e);
|
||||
}
|
||||
}
|
||||
|
||||
try {
|
||||
const res = await fetch(fetchUrl, fetchOptions);
|
||||
|
||||
// to prevent browser prompt for credentials
|
||||
const newHeaders = new Headers(res.headers);
|
||||
newHeaders.delete("www-authenticate");
|
||||
// to disable nginx buffering
|
||||
newHeaders.set("X-Accel-Buffering", "no");
|
||||
|
||||
return new Response(res.body, {
|
||||
status: res.status,
|
||||
statusText: res.statusText,
|
||||
headers: newHeaders,
|
||||
});
|
||||
} finally {
|
||||
clearTimeout(timeoutId);
|
||||
}
|
||||
}
|
@@ -1,17 +1,24 @@
|
||||
import { NextRequest, NextResponse } from "next/server";
|
||||
import { getServerSideConfig } from "../config/server";
|
||||
import { DEFAULT_MODELS, OPENAI_BASE_URL, GEMINI_BASE_URL } from "../constant";
|
||||
import { collectModelTable } from "../utils/model";
|
||||
import { makeAzurePath } from "../azure";
|
||||
import {
|
||||
DEFAULT_MODELS,
|
||||
OPENAI_BASE_URL,
|
||||
GEMINI_BASE_URL,
|
||||
ServiceProvider,
|
||||
} from "../constant";
|
||||
import { isModelAvailableInServer } from "../utils/model";
|
||||
import { cloudflareAIGatewayUrl } from "../utils/cloudflare";
|
||||
|
||||
const serverConfig = getServerSideConfig();
|
||||
|
||||
export async function requestOpenai(req: NextRequest) {
|
||||
const controller = new AbortController();
|
||||
|
||||
const isAzure = req.nextUrl.pathname.includes("azure/deployments");
|
||||
|
||||
var authValue,
|
||||
authHeaderName = "";
|
||||
if (serverConfig.isAzure) {
|
||||
if (isAzure) {
|
||||
authValue =
|
||||
req.headers
|
||||
.get("Authorization")
|
||||
@@ -31,7 +38,7 @@ export async function requestOpenai(req: NextRequest) {
|
||||
);
|
||||
|
||||
let baseUrl =
|
||||
serverConfig.azureUrl || serverConfig.baseUrl || OPENAI_BASE_URL;
|
||||
(isAzure ? serverConfig.azureUrl : serverConfig.baseUrl) || OPENAI_BASE_URL;
|
||||
|
||||
if (!baseUrl.startsWith("http")) {
|
||||
baseUrl = `https://${baseUrl}`;
|
||||
@@ -43,10 +50,6 @@ export async function requestOpenai(req: NextRequest) {
|
||||
|
||||
console.log("[Proxy] ", path);
|
||||
console.log("[Base Url]", baseUrl);
|
||||
// this fix [Org ID] undefined in server side if not using custom point
|
||||
if (serverConfig.openaiOrgId !== undefined) {
|
||||
console.log("[Org ID]", serverConfig.openaiOrgId);
|
||||
}
|
||||
|
||||
const timeoutId = setTimeout(
|
||||
() => {
|
||||
@@ -55,17 +58,46 @@ export async function requestOpenai(req: NextRequest) {
|
||||
10 * 60 * 1000,
|
||||
);
|
||||
|
||||
if (serverConfig.isAzure) {
|
||||
if (!serverConfig.azureApiVersion) {
|
||||
return NextResponse.json({
|
||||
error: true,
|
||||
message: `missing AZURE_API_VERSION in server env vars`,
|
||||
});
|
||||
if (isAzure) {
|
||||
const azureApiVersion =
|
||||
req?.nextUrl?.searchParams?.get("api-version") ||
|
||||
serverConfig.azureApiVersion;
|
||||
baseUrl = baseUrl.split("/deployments").shift() as string;
|
||||
path = `${req.nextUrl.pathname.replaceAll(
|
||||
"/api/azure/",
|
||||
"",
|
||||
)}?api-version=${azureApiVersion}`;
|
||||
|
||||
// Forward compatibility:
|
||||
// if display_name(deployment_name) not set, and '{deploy-id}' in AZURE_URL
|
||||
// then using default '{deploy-id}'
|
||||
if (serverConfig.customModels && serverConfig.azureUrl) {
|
||||
const modelName = path.split("/")[1];
|
||||
let realDeployName = "";
|
||||
serverConfig.customModels
|
||||
.split(",")
|
||||
.filter((v) => !!v && !v.startsWith("-") && v.includes(modelName))
|
||||
.forEach((m) => {
|
||||
const [fullName, displayName] = m.split("=");
|
||||
const [_, providerName] = fullName.split("@");
|
||||
if (providerName === "azure" && !displayName) {
|
||||
const [_, deployId] = (serverConfig?.azureUrl ?? "").split(
|
||||
"deployments/",
|
||||
);
|
||||
if (deployId) {
|
||||
realDeployName = deployId;
|
||||
}
|
||||
}
|
||||
});
|
||||
if (realDeployName) {
|
||||
console.log("[Replace with DeployId", realDeployName);
|
||||
path = path.replaceAll(modelName, realDeployName);
|
||||
}
|
||||
}
|
||||
path = makeAzurePath(path, serverConfig.azureApiVersion);
|
||||
}
|
||||
|
||||
const fetchUrl = `${baseUrl}/${path}`;
|
||||
const fetchUrl = cloudflareAIGatewayUrl(`${baseUrl}/${path}`);
|
||||
console.log("fetchUrl", fetchUrl);
|
||||
const fetchOptions: RequestInit = {
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
@@ -87,17 +119,24 @@ export async function requestOpenai(req: NextRequest) {
|
||||
// #1815 try to refuse gpt4 request
|
||||
if (serverConfig.customModels && req.body) {
|
||||
try {
|
||||
const modelTable = collectModelTable(
|
||||
DEFAULT_MODELS,
|
||||
serverConfig.customModels,
|
||||
);
|
||||
const clonedBody = await req.text();
|
||||
fetchOptions.body = clonedBody;
|
||||
|
||||
const jsonBody = JSON.parse(clonedBody) as { model?: string };
|
||||
|
||||
// not undefined and is false
|
||||
if (modelTable[jsonBody?.model ?? ""].available === false) {
|
||||
if (
|
||||
isModelAvailableInServer(
|
||||
serverConfig.customModels,
|
||||
jsonBody?.model as string,
|
||||
ServiceProvider.OpenAI as string,
|
||||
) ||
|
||||
isModelAvailableInServer(
|
||||
serverConfig.customModels,
|
||||
jsonBody?.model as string,
|
||||
ServiceProvider.Azure as string,
|
||||
)
|
||||
) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
@@ -116,12 +155,29 @@ export async function requestOpenai(req: NextRequest) {
|
||||
try {
|
||||
const res = await fetch(fetchUrl, fetchOptions);
|
||||
|
||||
// Extract the OpenAI-Organization header from the response
|
||||
const openaiOrganizationHeader = res.headers.get("OpenAI-Organization");
|
||||
|
||||
// Check if serverConfig.openaiOrgId is defined and not an empty string
|
||||
if (serverConfig.openaiOrgId && serverConfig.openaiOrgId.trim() !== "") {
|
||||
// If openaiOrganizationHeader is present, log it; otherwise, log that the header is not present
|
||||
console.log("[Org ID]", openaiOrganizationHeader);
|
||||
} else {
|
||||
console.log("[Org ID] is not set up.");
|
||||
}
|
||||
|
||||
// to prevent browser prompt for credentials
|
||||
const newHeaders = new Headers(res.headers);
|
||||
newHeaders.delete("www-authenticate");
|
||||
// to disable nginx buffering
|
||||
newHeaders.set("X-Accel-Buffering", "no");
|
||||
|
||||
// Conditionally delete the OpenAI-Organization header from the response if [Org ID] is undefined or empty (not setup in ENV)
|
||||
// Also, this is to prevent the header from being sent to the client
|
||||
if (!serverConfig.openaiOrgId || serverConfig.openaiOrgId.trim() === "") {
|
||||
newHeaders.delete("OpenAI-Organization");
|
||||
}
|
||||
|
||||
// The latest version of the OpenAI API forced the content-encoding to be "br" in json response
|
||||
// So if the streaming is disabled, we need to remove the content-encoding header
|
||||
// Because Vercel uses gzip to compress the response, if we don't remove the content-encoding header
|
||||
|
@@ -13,6 +13,7 @@ const DANGER_CONFIG = {
|
||||
hideBalanceQuery: serverConfig.hideBalanceQuery,
|
||||
disableFastLink: serverConfig.disableFastLink,
|
||||
customModels: serverConfig.customModels,
|
||||
defaultModel: serverConfig.defaultModel,
|
||||
};
|
||||
|
||||
declare global {
|
||||
|
@@ -1,43 +0,0 @@
|
||||
import { NextRequest, NextResponse } from "next/server";
|
||||
|
||||
async function handle(
|
||||
req: NextRequest,
|
||||
{ params }: { params: { path: string[] } },
|
||||
) {
|
||||
if (req.method === "OPTIONS") {
|
||||
return NextResponse.json({ body: "OK" }, { status: 200 });
|
||||
}
|
||||
|
||||
const [protocol, ...subpath] = params.path;
|
||||
const targetUrl = `${protocol}://${subpath.join("/")}`;
|
||||
|
||||
const method = req.headers.get("method") ?? undefined;
|
||||
const shouldNotHaveBody = ["get", "head"].includes(
|
||||
method?.toLowerCase() ?? "",
|
||||
);
|
||||
|
||||
const fetchOptions: RequestInit = {
|
||||
headers: {
|
||||
authorization: req.headers.get("authorization") ?? "",
|
||||
},
|
||||
body: shouldNotHaveBody ? null : req.body,
|
||||
method,
|
||||
// @ts-ignore
|
||||
duplex: "half",
|
||||
};
|
||||
|
||||
const fetchResult = await fetch(targetUrl, fetchOptions);
|
||||
|
||||
console.log("[Any Proxy]", targetUrl, {
|
||||
status: fetchResult.status,
|
||||
statusText: fetchResult.statusText,
|
||||
});
|
||||
|
||||
return fetchResult;
|
||||
}
|
||||
|
||||
export const POST = handle;
|
||||
export const GET = handle;
|
||||
export const OPTIONS = handle;
|
||||
|
||||
export const runtime = "nodejs";
|
@@ -1,7 +1,15 @@
|
||||
import { NextRequest, NextResponse } from "next/server";
|
||||
import { auth } from "../../auth";
|
||||
import { getServerSideConfig } from "@/app/config/server";
|
||||
import { GEMINI_BASE_URL, Google, ModelProvider } from "@/app/constant";
|
||||
import {
|
||||
ApiPath,
|
||||
GEMINI_BASE_URL,
|
||||
Google,
|
||||
ModelProvider,
|
||||
} from "@/app/constant";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
|
||||
const serverConfig = getServerSideConfig();
|
||||
|
||||
async function handle(
|
||||
req: NextRequest,
|
||||
@@ -13,32 +21,6 @@ async function handle(
|
||||
return NextResponse.json({ body: "OK" }, { status: 200 });
|
||||
}
|
||||
|
||||
const controller = new AbortController();
|
||||
|
||||
const serverConfig = getServerSideConfig();
|
||||
|
||||
let baseUrl = serverConfig.googleUrl || GEMINI_BASE_URL;
|
||||
|
||||
if (!baseUrl.startsWith("http")) {
|
||||
baseUrl = `https://${baseUrl}`;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, -1);
|
||||
}
|
||||
|
||||
let path = `${req.nextUrl.pathname}`.replaceAll("/api/google/", "");
|
||||
|
||||
console.log("[Proxy] ", path);
|
||||
console.log("[Base Url]", baseUrl);
|
||||
|
||||
const timeoutId = setTimeout(
|
||||
() => {
|
||||
controller.abort();
|
||||
},
|
||||
10 * 60 * 1000,
|
||||
);
|
||||
|
||||
const authResult = auth(req, ModelProvider.GeminiPro);
|
||||
if (authResult.error) {
|
||||
return NextResponse.json(authResult, {
|
||||
@@ -49,9 +31,9 @@ async function handle(
|
||||
const bearToken = req.headers.get("Authorization") ?? "";
|
||||
const token = bearToken.trim().replaceAll("Bearer ", "").trim();
|
||||
|
||||
const key = token ? token : serverConfig.googleApiKey;
|
||||
const apiKey = token ? token : serverConfig.googleApiKey;
|
||||
|
||||
if (!key) {
|
||||
if (!apiKey) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
@@ -62,8 +44,63 @@ async function handle(
|
||||
},
|
||||
);
|
||||
}
|
||||
try {
|
||||
const response = await request(req, apiKey);
|
||||
return response;
|
||||
} catch (e) {
|
||||
console.error("[Google] ", e);
|
||||
return NextResponse.json(prettyObject(e));
|
||||
}
|
||||
}
|
||||
|
||||
const fetchUrl = `${baseUrl}/${path}?key=${key}`;
|
||||
export const GET = handle;
|
||||
export const POST = handle;
|
||||
|
||||
export const runtime = "edge";
|
||||
export const preferredRegion = [
|
||||
"bom1",
|
||||
"cle1",
|
||||
"cpt1",
|
||||
"gru1",
|
||||
"hnd1",
|
||||
"iad1",
|
||||
"icn1",
|
||||
"kix1",
|
||||
"pdx1",
|
||||
"sfo1",
|
||||
"sin1",
|
||||
"syd1",
|
||||
];
|
||||
|
||||
async function request(req: NextRequest, apiKey: string) {
|
||||
const controller = new AbortController();
|
||||
|
||||
let baseUrl = serverConfig.googleUrl || GEMINI_BASE_URL;
|
||||
|
||||
let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.Google, "");
|
||||
|
||||
if (!baseUrl.startsWith("http")) {
|
||||
baseUrl = `https://${baseUrl}`;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, -1);
|
||||
}
|
||||
|
||||
console.log("[Proxy] ", path);
|
||||
console.log("[Base Url]", baseUrl);
|
||||
|
||||
const timeoutId = setTimeout(
|
||||
() => {
|
||||
controller.abort();
|
||||
},
|
||||
10 * 60 * 1000,
|
||||
);
|
||||
const fetchUrl = `${baseUrl}${path}?key=${apiKey}${
|
||||
req?.nextUrl?.searchParams?.get("alt") === "sse" ? "&alt=sse" : ""
|
||||
}`;
|
||||
|
||||
console.log("[Fetch Url] ", fetchUrl);
|
||||
const fetchOptions: RequestInit = {
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
@@ -95,27 +132,3 @@ async function handle(
|
||||
clearTimeout(timeoutId);
|
||||
}
|
||||
}
|
||||
|
||||
export const GET = handle;
|
||||
export const POST = handle;
|
||||
|
||||
export const runtime = "edge";
|
||||
export const preferredRegion = [
|
||||
"arn1",
|
||||
"bom1",
|
||||
"cdg1",
|
||||
"cle1",
|
||||
"cpt1",
|
||||
"dub1",
|
||||
"fra1",
|
||||
"gru1",
|
||||
"hnd1",
|
||||
"iad1",
|
||||
"icn1",
|
||||
"kix1",
|
||||
"lhr1",
|
||||
"pdx1",
|
||||
"sfo1",
|
||||
"sin1",
|
||||
"syd1",
|
||||
];
|
||||
|
73
app/api/upstash/[action]/[...key]/route.ts
Normal file
@@ -0,0 +1,73 @@
|
||||
import { NextRequest, NextResponse } from "next/server";
|
||||
|
||||
async function handle(
|
||||
req: NextRequest,
|
||||
{ params }: { params: { action: string; key: string[] } },
|
||||
) {
|
||||
const requestUrl = new URL(req.url);
|
||||
const endpoint = requestUrl.searchParams.get("endpoint");
|
||||
|
||||
if (req.method === "OPTIONS") {
|
||||
return NextResponse.json({ body: "OK" }, { status: 200 });
|
||||
}
|
||||
const [...key] = params.key;
|
||||
// only allow to request to *.upstash.io
|
||||
if (!endpoint || !new URL(endpoint).hostname.endsWith(".upstash.io")) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
msg: "you are not allowed to request " + params.key.join("/"),
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
// only allow upstash get and set method
|
||||
if (params.action !== "get" && params.action !== "set") {
|
||||
console.log("[Upstash Route] forbidden action ", params.action);
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
msg: "you are not allowed to request " + params.action,
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
const targetUrl = `${endpoint}/${params.action}/${params.key.join("/")}`;
|
||||
|
||||
const method = req.method;
|
||||
const shouldNotHaveBody = ["get", "head"].includes(
|
||||
method?.toLowerCase() ?? "",
|
||||
);
|
||||
|
||||
const fetchOptions: RequestInit = {
|
||||
headers: {
|
||||
authorization: req.headers.get("authorization") ?? "",
|
||||
},
|
||||
body: shouldNotHaveBody ? null : req.body,
|
||||
method,
|
||||
// @ts-ignore
|
||||
duplex: "half",
|
||||
};
|
||||
|
||||
console.log("[Upstash Proxy]", targetUrl, fetchOptions);
|
||||
const fetchResult = await fetch(targetUrl, fetchOptions);
|
||||
|
||||
console.log("[Any Proxy]", targetUrl, {
|
||||
status: fetchResult.status,
|
||||
statusText: fetchResult.statusText,
|
||||
});
|
||||
|
||||
return fetchResult;
|
||||
}
|
||||
|
||||
export const POST = handle;
|
||||
export const GET = handle;
|
||||
export const OPTIONS = handle;
|
||||
|
||||
export const runtime = "edge";
|
158
app/api/webdav/[...path]/route.ts
Normal file
@@ -0,0 +1,158 @@
|
||||
import { NextRequest, NextResponse } from "next/server";
|
||||
import { STORAGE_KEY, internalAllowedWebDavEndpoints } from "../../../constant";
|
||||
import { getServerSideConfig } from "@/app/config/server";
|
||||
|
||||
const config = getServerSideConfig();
|
||||
|
||||
const mergedAllowedWebDavEndpoints = [
|
||||
...internalAllowedWebDavEndpoints,
|
||||
...config.allowedWebDevEndpoints,
|
||||
].filter((domain) => Boolean(domain.trim()));
|
||||
|
||||
const normalizeUrl = (url: string) => {
|
||||
try {
|
||||
return new URL(url);
|
||||
} catch (err) {
|
||||
return null;
|
||||
}
|
||||
};
|
||||
|
||||
async function handle(
|
||||
req: NextRequest,
|
||||
{ params }: { params: { path: string[] } },
|
||||
) {
|
||||
if (req.method === "OPTIONS") {
|
||||
return NextResponse.json({ body: "OK" }, { status: 200 });
|
||||
}
|
||||
const folder = STORAGE_KEY;
|
||||
const fileName = `${folder}/backup.json`;
|
||||
|
||||
const requestUrl = new URL(req.url);
|
||||
let endpoint = requestUrl.searchParams.get("endpoint");
|
||||
|
||||
// Validate the endpoint to prevent potential SSRF attacks
|
||||
if (
|
||||
!endpoint ||
|
||||
!mergedAllowedWebDavEndpoints.some((allowedEndpoint) => {
|
||||
const normalizedAllowedEndpoint = normalizeUrl(allowedEndpoint);
|
||||
const normalizedEndpoint = normalizeUrl(endpoint as string);
|
||||
|
||||
return normalizedEndpoint &&
|
||||
normalizedEndpoint.hostname === normalizedAllowedEndpoint?.hostname &&
|
||||
normalizedEndpoint.pathname.startsWith(normalizedAllowedEndpoint.pathname);
|
||||
})
|
||||
) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
msg: "Invalid endpoint",
|
||||
},
|
||||
{
|
||||
status: 400,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
if (!endpoint?.endsWith("/")) {
|
||||
endpoint += "/";
|
||||
}
|
||||
|
||||
const endpointPath = params.path.join("/");
|
||||
const targetPath = `${endpoint}${endpointPath}`;
|
||||
|
||||
// only allow MKCOL, GET, PUT
|
||||
if (req.method !== "MKCOL" && req.method !== "GET" && req.method !== "PUT") {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
msg: "you are not allowed to request " + targetPath,
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
// for MKCOL request, only allow request ${folder}
|
||||
if (req.method === "MKCOL" && !targetPath.endsWith(folder)) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
msg: "you are not allowed to request " + targetPath,
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
// for GET request, only allow request ending with fileName
|
||||
if (req.method === "GET" && !targetPath.endsWith(fileName)) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
msg: "you are not allowed to request " + targetPath,
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
// for PUT request, only allow request ending with fileName
|
||||
if (req.method === "PUT" && !targetPath.endsWith(fileName)) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: true,
|
||||
msg: "you are not allowed to request " + targetPath,
|
||||
},
|
||||
{
|
||||
status: 403,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
const targetUrl = targetPath;
|
||||
|
||||
const method = req.method;
|
||||
const shouldNotHaveBody = ["get", "head"].includes(
|
||||
method?.toLowerCase() ?? "",
|
||||
);
|
||||
|
||||
const fetchOptions: RequestInit = {
|
||||
headers: {
|
||||
authorization: req.headers.get("authorization") ?? "",
|
||||
},
|
||||
body: shouldNotHaveBody ? null : req.body,
|
||||
redirect: "manual",
|
||||
method,
|
||||
// @ts-ignore
|
||||
duplex: "half",
|
||||
};
|
||||
|
||||
let fetchResult;
|
||||
|
||||
try {
|
||||
fetchResult = await fetch(targetUrl, fetchOptions);
|
||||
} finally {
|
||||
console.log(
|
||||
"[Any Proxy]",
|
||||
targetUrl,
|
||||
{
|
||||
method: req.method,
|
||||
},
|
||||
{
|
||||
status: fetchResult?.status,
|
||||
statusText: fetchResult?.statusText,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
return fetchResult;
|
||||
}
|
||||
|
||||
export const PUT = handle;
|
||||
export const GET = handle;
|
||||
export const OPTIONS = handle;
|
||||
|
||||
export const runtime = "edge";
|
@@ -1,9 +0,0 @@
|
||||
export function makeAzurePath(path: string, apiVersion: string) {
|
||||
// should omit /v1 prefix
|
||||
path = path.replaceAll("v1/", "");
|
||||
|
||||
// should add api-key to query string
|
||||
path += `${path.includes("?") ? "&" : "?"}api-version=${apiVersion}`;
|
||||
|
||||
return path;
|
||||
}
|
@@ -8,19 +8,33 @@ import {
|
||||
import { ChatMessage, ModelType, useAccessStore, useChatStore } from "../store";
|
||||
import { ChatGPTApi } from "./platforms/openai";
|
||||
import { GeminiProApi } from "./platforms/google";
|
||||
import { ClaudeApi } from "./platforms/anthropic";
|
||||
import { ErnieApi } from "./platforms/baidu";
|
||||
import { DoubaoApi } from "./platforms/bytedance";
|
||||
import { QwenApi } from "./platforms/alibaba";
|
||||
|
||||
export const ROLES = ["system", "user", "assistant"] as const;
|
||||
export type MessageRole = (typeof ROLES)[number];
|
||||
|
||||
export const Models = ["gpt-3.5-turbo", "gpt-4"] as const;
|
||||
export type ChatModel = ModelType;
|
||||
|
||||
export interface MultimodalContent {
|
||||
type: "text" | "image_url";
|
||||
text?: string;
|
||||
image_url?: {
|
||||
url: string;
|
||||
};
|
||||
}
|
||||
|
||||
export interface RequestMessage {
|
||||
role: MessageRole;
|
||||
content: string;
|
||||
content: string | MultimodalContent[];
|
||||
}
|
||||
|
||||
export interface LLMConfig {
|
||||
model: string;
|
||||
providerName?: string;
|
||||
temperature?: number;
|
||||
top_p?: number;
|
||||
stream?: boolean;
|
||||
@@ -45,6 +59,7 @@ export interface LLMUsage {
|
||||
|
||||
export interface LLMModel {
|
||||
name: string;
|
||||
displayName?: string;
|
||||
available: boolean;
|
||||
provider: LLMModelProvider;
|
||||
}
|
||||
@@ -86,11 +101,25 @@ export class ClientApi {
|
||||
public llm: LLMApi;
|
||||
|
||||
constructor(provider: ModelProvider = ModelProvider.GPT) {
|
||||
if (provider === ModelProvider.GeminiPro) {
|
||||
this.llm = new GeminiProApi();
|
||||
return;
|
||||
switch (provider) {
|
||||
case ModelProvider.GeminiPro:
|
||||
this.llm = new GeminiProApi();
|
||||
break;
|
||||
case ModelProvider.Claude:
|
||||
this.llm = new ClaudeApi();
|
||||
break;
|
||||
case ModelProvider.Ernie:
|
||||
this.llm = new ErnieApi();
|
||||
break;
|
||||
case ModelProvider.Doubao:
|
||||
this.llm = new DoubaoApi();
|
||||
break;
|
||||
case ModelProvider.Qwen:
|
||||
this.llm = new QwenApi();
|
||||
break;
|
||||
default:
|
||||
this.llm = new ChatGPTApi();
|
||||
}
|
||||
this.llm = new ChatGPTApi();
|
||||
}
|
||||
|
||||
config() {}
|
||||
@@ -141,35 +170,100 @@ export class ClientApi {
|
||||
|
||||
export function getHeaders() {
|
||||
const accessStore = useAccessStore.getState();
|
||||
const chatStore = useChatStore.getState();
|
||||
const headers: Record<string, string> = {
|
||||
"Content-Type": "application/json",
|
||||
"x-requested-with": "XMLHttpRequest",
|
||||
"Accept": "application/json",
|
||||
Accept: "application/json",
|
||||
};
|
||||
const modelConfig = useChatStore.getState().currentSession().mask.modelConfig;
|
||||
const isGoogle = modelConfig.model === "gemini-pro";
|
||||
const isAzure = accessStore.provider === ServiceProvider.Azure;
|
||||
const authHeader = isAzure ? "api-key" : "Authorization";
|
||||
const apiKey = isGoogle
|
||||
? accessStore.googleApiKey
|
||||
: isAzure
|
||||
? accessStore.azureApiKey
|
||||
: accessStore.openaiApiKey;
|
||||
|
||||
const makeBearer = (s: string) => `${isAzure ? "" : "Bearer "}${s.trim()}`;
|
||||
const validString = (x: string) => x && x.length > 0;
|
||||
const clientConfig = getClientConfig();
|
||||
|
||||
// use user's api key first
|
||||
if (validString(apiKey)) {
|
||||
headers[authHeader] = makeBearer(apiKey);
|
||||
} else if (
|
||||
accessStore.enabledAccessControl() &&
|
||||
validString(accessStore.accessCode)
|
||||
) {
|
||||
headers[authHeader] = makeBearer(
|
||||
function getConfig() {
|
||||
const modelConfig = chatStore.currentSession().mask.modelConfig;
|
||||
const isGoogle = modelConfig.providerName == ServiceProvider.Google;
|
||||
const isAzure = modelConfig.providerName === ServiceProvider.Azure;
|
||||
const isAnthropic = modelConfig.providerName === ServiceProvider.Anthropic;
|
||||
const isBaidu = modelConfig.providerName == ServiceProvider.Baidu;
|
||||
const isByteDance = modelConfig.providerName === ServiceProvider.ByteDance;
|
||||
const isAlibaba = modelConfig.providerName === ServiceProvider.Alibaba;
|
||||
const isEnabledAccessControl = accessStore.enabledAccessControl();
|
||||
const apiKey = isGoogle
|
||||
? accessStore.googleApiKey
|
||||
: isAzure
|
||||
? accessStore.azureApiKey
|
||||
: isAnthropic
|
||||
? accessStore.anthropicApiKey
|
||||
: isByteDance
|
||||
? accessStore.bytedanceApiKey
|
||||
: isAlibaba
|
||||
? accessStore.alibabaApiKey
|
||||
: accessStore.openaiApiKey;
|
||||
return {
|
||||
isGoogle,
|
||||
isAzure,
|
||||
isAnthropic,
|
||||
isBaidu,
|
||||
isByteDance,
|
||||
isAlibaba,
|
||||
apiKey,
|
||||
isEnabledAccessControl,
|
||||
};
|
||||
}
|
||||
|
||||
function getAuthHeader(): string {
|
||||
return isAzure ? "api-key" : isAnthropic ? "x-api-key" : "Authorization";
|
||||
}
|
||||
|
||||
function getBearerToken(apiKey: string, noBearer: boolean = false): string {
|
||||
return validString(apiKey)
|
||||
? `${noBearer ? "" : "Bearer "}${apiKey.trim()}`
|
||||
: "";
|
||||
}
|
||||
|
||||
function validString(x: string): boolean {
|
||||
return x?.length > 0;
|
||||
}
|
||||
const {
|
||||
isGoogle,
|
||||
isAzure,
|
||||
isAnthropic,
|
||||
isBaidu,
|
||||
apiKey,
|
||||
isEnabledAccessControl,
|
||||
} = getConfig();
|
||||
// when using google api in app, not set auth header
|
||||
if (isGoogle && clientConfig?.isApp) return headers;
|
||||
// when using baidu api in app, not set auth header
|
||||
if (isBaidu && clientConfig?.isApp) return headers;
|
||||
|
||||
const authHeader = getAuthHeader();
|
||||
|
||||
const bearerToken = getBearerToken(apiKey, isAzure || isAnthropic);
|
||||
|
||||
if (bearerToken) {
|
||||
headers[authHeader] = bearerToken;
|
||||
} else if (isEnabledAccessControl && validString(accessStore.accessCode)) {
|
||||
headers["Authorization"] = getBearerToken(
|
||||
ACCESS_CODE_PREFIX + accessStore.accessCode,
|
||||
);
|
||||
}
|
||||
|
||||
return headers;
|
||||
}
|
||||
|
||||
export function getClientApi(provider: ServiceProvider): ClientApi {
|
||||
switch (provider) {
|
||||
case ServiceProvider.Google:
|
||||
return new ClientApi(ModelProvider.GeminiPro);
|
||||
case ServiceProvider.Anthropic:
|
||||
return new ClientApi(ModelProvider.Claude);
|
||||
case ServiceProvider.Baidu:
|
||||
return new ClientApi(ModelProvider.Ernie);
|
||||
case ServiceProvider.ByteDance:
|
||||
return new ClientApi(ModelProvider.Doubao);
|
||||
case ServiceProvider.Alibaba:
|
||||
return new ClientApi(ModelProvider.Qwen);
|
||||
default:
|
||||
return new ClientApi(ModelProvider.GPT);
|
||||
}
|
||||
}
|
||||
|
268
app/client/platforms/alibaba.ts
Normal file
@@ -0,0 +1,268 @@
|
||||
"use client";
|
||||
import {
|
||||
ApiPath,
|
||||
Alibaba,
|
||||
ALIBABA_BASE_URL,
|
||||
REQUEST_TIMEOUT_MS,
|
||||
} from "@/app/constant";
|
||||
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
|
||||
|
||||
import {
|
||||
ChatOptions,
|
||||
getHeaders,
|
||||
LLMApi,
|
||||
LLMModel,
|
||||
MultimodalContent,
|
||||
} from "../api";
|
||||
import Locale from "../../locales";
|
||||
import {
|
||||
EventStreamContentType,
|
||||
fetchEventSource,
|
||||
} from "@fortaine/fetch-event-source";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { getClientConfig } from "@/app/config/client";
|
||||
import { getMessageTextContent } from "@/app/utils";
|
||||
|
||||
export interface OpenAIListModelResponse {
|
||||
object: string;
|
||||
data: Array<{
|
||||
id: string;
|
||||
object: string;
|
||||
root: string;
|
||||
}>;
|
||||
}
|
||||
|
||||
interface RequestInput {
|
||||
messages: {
|
||||
role: "system" | "user" | "assistant";
|
||||
content: string | MultimodalContent[];
|
||||
}[];
|
||||
}
|
||||
interface RequestParam {
|
||||
result_format: string;
|
||||
incremental_output?: boolean;
|
||||
temperature: number;
|
||||
repetition_penalty?: number;
|
||||
top_p: number;
|
||||
max_tokens?: number;
|
||||
}
|
||||
interface RequestPayload {
|
||||
model: string;
|
||||
input: RequestInput;
|
||||
parameters: RequestParam;
|
||||
}
|
||||
|
||||
export class QwenApi implements LLMApi {
|
||||
path(path: string): string {
|
||||
const accessStore = useAccessStore.getState();
|
||||
|
||||
let baseUrl = "";
|
||||
|
||||
if (accessStore.useCustomConfig) {
|
||||
baseUrl = accessStore.alibabaUrl;
|
||||
}
|
||||
|
||||
if (baseUrl.length === 0) {
|
||||
const isApp = !!getClientConfig()?.isApp;
|
||||
baseUrl = isApp ? ALIBABA_BASE_URL : ApiPath.Alibaba;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, baseUrl.length - 1);
|
||||
}
|
||||
if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.Alibaba)) {
|
||||
baseUrl = "https://" + baseUrl;
|
||||
}
|
||||
|
||||
console.log("[Proxy Endpoint] ", baseUrl, path);
|
||||
|
||||
return [baseUrl, path].join("/");
|
||||
}
|
||||
|
||||
extractMessage(res: any) {
|
||||
return res?.output?.choices?.at(0)?.message?.content ?? "";
|
||||
}
|
||||
|
||||
async chat(options: ChatOptions) {
|
||||
const messages = options.messages.map((v) => ({
|
||||
role: v.role,
|
||||
content: getMessageTextContent(v),
|
||||
}));
|
||||
|
||||
const modelConfig = {
|
||||
...useAppConfig.getState().modelConfig,
|
||||
...useChatStore.getState().currentSession().mask.modelConfig,
|
||||
...{
|
||||
model: options.config.model,
|
||||
},
|
||||
};
|
||||
|
||||
const shouldStream = !!options.config.stream;
|
||||
const requestPayload: RequestPayload = {
|
||||
model: modelConfig.model,
|
||||
input: {
|
||||
messages,
|
||||
},
|
||||
parameters: {
|
||||
result_format: "message",
|
||||
incremental_output: shouldStream,
|
||||
temperature: modelConfig.temperature,
|
||||
// max_tokens: modelConfig.max_tokens,
|
||||
top_p: modelConfig.top_p === 1 ? 0.99 : modelConfig.top_p, // qwen top_p is should be < 1
|
||||
},
|
||||
};
|
||||
|
||||
const controller = new AbortController();
|
||||
options.onController?.(controller);
|
||||
|
||||
try {
|
||||
const chatPath = this.path(Alibaba.ChatPath);
|
||||
const chatPayload = {
|
||||
method: "POST",
|
||||
body: JSON.stringify(requestPayload),
|
||||
signal: controller.signal,
|
||||
headers: {
|
||||
...getHeaders(),
|
||||
"X-DashScope-SSE": shouldStream ? "enable" : "disable",
|
||||
},
|
||||
};
|
||||
|
||||
// make a fetch request
|
||||
const requestTimeoutId = setTimeout(
|
||||
() => controller.abort(),
|
||||
REQUEST_TIMEOUT_MS,
|
||||
);
|
||||
|
||||
if (shouldStream) {
|
||||
let responseText = "";
|
||||
let remainText = "";
|
||||
let finished = false;
|
||||
|
||||
// animate response to make it looks smooth
|
||||
function animateResponseText() {
|
||||
if (finished || controller.signal.aborted) {
|
||||
responseText += remainText;
|
||||
console.log("[Response Animation] finished");
|
||||
if (responseText?.length === 0) {
|
||||
options.onError?.(new Error("empty response from server"));
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
if (remainText.length > 0) {
|
||||
const fetchCount = Math.max(1, Math.round(remainText.length / 60));
|
||||
const fetchText = remainText.slice(0, fetchCount);
|
||||
responseText += fetchText;
|
||||
remainText = remainText.slice(fetchCount);
|
||||
options.onUpdate?.(responseText, fetchText);
|
||||
}
|
||||
|
||||
requestAnimationFrame(animateResponseText);
|
||||
}
|
||||
|
||||
// start animaion
|
||||
animateResponseText();
|
||||
|
||||
const finish = () => {
|
||||
if (!finished) {
|
||||
finished = true;
|
||||
options.onFinish(responseText + remainText);
|
||||
}
|
||||
};
|
||||
|
||||
controller.signal.onabort = finish;
|
||||
|
||||
fetchEventSource(chatPath, {
|
||||
...chatPayload,
|
||||
async onopen(res) {
|
||||
clearTimeout(requestTimeoutId);
|
||||
const contentType = res.headers.get("content-type");
|
||||
console.log(
|
||||
"[Alibaba] request response content type: ",
|
||||
contentType,
|
||||
);
|
||||
|
||||
if (contentType?.startsWith("text/plain")) {
|
||||
responseText = await res.clone().text();
|
||||
return finish();
|
||||
}
|
||||
|
||||
if (
|
||||
!res.ok ||
|
||||
!res.headers
|
||||
.get("content-type")
|
||||
?.startsWith(EventStreamContentType) ||
|
||||
res.status !== 200
|
||||
) {
|
||||
const responseTexts = [responseText];
|
||||
let extraInfo = await res.clone().text();
|
||||
try {
|
||||
const resJson = await res.clone().json();
|
||||
extraInfo = prettyObject(resJson);
|
||||
} catch {}
|
||||
|
||||
if (res.status === 401) {
|
||||
responseTexts.push(Locale.Error.Unauthorized);
|
||||
}
|
||||
|
||||
if (extraInfo) {
|
||||
responseTexts.push(extraInfo);
|
||||
}
|
||||
|
||||
responseText = responseTexts.join("\n\n");
|
||||
|
||||
return finish();
|
||||
}
|
||||
},
|
||||
onmessage(msg) {
|
||||
if (msg.data === "[DONE]" || finished) {
|
||||
return finish();
|
||||
}
|
||||
const text = msg.data;
|
||||
try {
|
||||
const json = JSON.parse(text);
|
||||
const choices = json.output.choices as Array<{
|
||||
message: { content: string };
|
||||
}>;
|
||||
const delta = choices[0]?.message?.content;
|
||||
if (delta) {
|
||||
remainText += delta;
|
||||
}
|
||||
} catch (e) {
|
||||
console.error("[Request] parse error", text, msg);
|
||||
}
|
||||
},
|
||||
onclose() {
|
||||
finish();
|
||||
},
|
||||
onerror(e) {
|
||||
options.onError?.(e);
|
||||
throw e;
|
||||
},
|
||||
openWhenHidden: true,
|
||||
});
|
||||
} else {
|
||||
const res = await fetch(chatPath, chatPayload);
|
||||
clearTimeout(requestTimeoutId);
|
||||
|
||||
const resJson = await res.json();
|
||||
const message = this.extractMessage(resJson);
|
||||
options.onFinish(message);
|
||||
}
|
||||
} catch (e) {
|
||||
console.log("[Request] failed to make a chat request", e);
|
||||
options.onError?.(e as Error);
|
||||
}
|
||||
}
|
||||
async usage() {
|
||||
return {
|
||||
used: 0,
|
||||
total: 0,
|
||||
};
|
||||
}
|
||||
|
||||
async models(): Promise<LLMModel[]> {
|
||||
return [];
|
||||
}
|
||||
}
|
||||
export { Alibaba };
|
397
app/client/platforms/anthropic.ts
Normal file
@@ -0,0 +1,397 @@
|
||||
import { ACCESS_CODE_PREFIX, Anthropic, ApiPath } from "@/app/constant";
|
||||
import { ChatOptions, getHeaders, LLMApi, MultimodalContent } from "../api";
|
||||
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
|
||||
import { getClientConfig } from "@/app/config/client";
|
||||
import { DEFAULT_API_HOST } from "@/app/constant";
|
||||
import {
|
||||
EventStreamContentType,
|
||||
fetchEventSource,
|
||||
} from "@fortaine/fetch-event-source";
|
||||
|
||||
import Locale from "../../locales";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { getMessageTextContent, isVisionModel } from "@/app/utils";
|
||||
import { preProcessImageContent } from "@/app/utils/chat";
|
||||
import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
|
||||
|
||||
export type MultiBlockContent = {
|
||||
type: "image" | "text";
|
||||
source?: {
|
||||
type: string;
|
||||
media_type: string;
|
||||
data: string;
|
||||
};
|
||||
text?: string;
|
||||
};
|
||||
|
||||
export type AnthropicMessage = {
|
||||
role: (typeof ClaudeMapper)[keyof typeof ClaudeMapper];
|
||||
content: string | MultiBlockContent[];
|
||||
};
|
||||
|
||||
export interface AnthropicChatRequest {
|
||||
model: string; // The model that will complete your prompt.
|
||||
messages: AnthropicMessage[]; // The prompt that you want Claude to complete.
|
||||
max_tokens: number; // The maximum number of tokens to generate before stopping.
|
||||
stop_sequences?: string[]; // Sequences that will cause the model to stop generating completion text.
|
||||
temperature?: number; // Amount of randomness injected into the response.
|
||||
top_p?: number; // Use nucleus sampling.
|
||||
top_k?: number; // Only sample from the top K options for each subsequent token.
|
||||
metadata?: object; // An object describing metadata about the request.
|
||||
stream?: boolean; // Whether to incrementally stream the response using server-sent events.
|
||||
}
|
||||
|
||||
export interface ChatRequest {
|
||||
model: string; // The model that will complete your prompt.
|
||||
prompt: string; // The prompt that you want Claude to complete.
|
||||
max_tokens_to_sample: number; // The maximum number of tokens to generate before stopping.
|
||||
stop_sequences?: string[]; // Sequences that will cause the model to stop generating completion text.
|
||||
temperature?: number; // Amount of randomness injected into the response.
|
||||
top_p?: number; // Use nucleus sampling.
|
||||
top_k?: number; // Only sample from the top K options for each subsequent token.
|
||||
metadata?: object; // An object describing metadata about the request.
|
||||
stream?: boolean; // Whether to incrementally stream the response using server-sent events.
|
||||
}
|
||||
|
||||
export interface ChatResponse {
|
||||
completion: string;
|
||||
stop_reason: "stop_sequence" | "max_tokens";
|
||||
model: string;
|
||||
}
|
||||
|
||||
export type ChatStreamResponse = ChatResponse & {
|
||||
stop?: string;
|
||||
log_id: string;
|
||||
};
|
||||
|
||||
const ClaudeMapper = {
|
||||
assistant: "assistant",
|
||||
user: "user",
|
||||
system: "user",
|
||||
} as const;
|
||||
|
||||
const keys = ["claude-2, claude-instant-1"];
|
||||
|
||||
export class ClaudeApi implements LLMApi {
|
||||
extractMessage(res: any) {
|
||||
console.log("[Response] claude response: ", res);
|
||||
|
||||
return res?.content?.[0]?.text;
|
||||
}
|
||||
async chat(options: ChatOptions): Promise<void> {
|
||||
const visionModel = isVisionModel(options.config.model);
|
||||
|
||||
const accessStore = useAccessStore.getState();
|
||||
|
||||
const shouldStream = !!options.config.stream;
|
||||
|
||||
const modelConfig = {
|
||||
...useAppConfig.getState().modelConfig,
|
||||
...useChatStore.getState().currentSession().mask.modelConfig,
|
||||
...{
|
||||
model: options.config.model,
|
||||
},
|
||||
};
|
||||
|
||||
// try get base64image from local cache image_url
|
||||
const messages: ChatOptions["messages"] = [];
|
||||
for (const v of options.messages) {
|
||||
const content = await preProcessImageContent(v.content);
|
||||
messages.push({ role: v.role, content });
|
||||
}
|
||||
|
||||
const keys = ["system", "user"];
|
||||
|
||||
// roles must alternate between "user" and "assistant" in claude, so add a fake assistant message between two user messages
|
||||
for (let i = 0; i < messages.length - 1; i++) {
|
||||
const message = messages[i];
|
||||
const nextMessage = messages[i + 1];
|
||||
|
||||
if (keys.includes(message.role) && keys.includes(nextMessage.role)) {
|
||||
messages[i] = [
|
||||
message,
|
||||
{
|
||||
role: "assistant",
|
||||
content: ";",
|
||||
},
|
||||
] as any;
|
||||
}
|
||||
}
|
||||
|
||||
const prompt = messages
|
||||
.flat()
|
||||
.filter((v) => {
|
||||
if (!v.content) return false;
|
||||
if (typeof v.content === "string" && !v.content.trim()) return false;
|
||||
return true;
|
||||
})
|
||||
.map((v) => {
|
||||
const { role, content } = v;
|
||||
const insideRole = ClaudeMapper[role] ?? "user";
|
||||
|
||||
if (!visionModel || typeof content === "string") {
|
||||
return {
|
||||
role: insideRole,
|
||||
content: getMessageTextContent(v),
|
||||
};
|
||||
}
|
||||
return {
|
||||
role: insideRole,
|
||||
content: content
|
||||
.filter((v) => v.image_url || v.text)
|
||||
.map(({ type, text, image_url }) => {
|
||||
if (type === "text") {
|
||||
return {
|
||||
type,
|
||||
text: text!,
|
||||
};
|
||||
}
|
||||
const { url = "" } = image_url || {};
|
||||
const colonIndex = url.indexOf(":");
|
||||
const semicolonIndex = url.indexOf(";");
|
||||
const comma = url.indexOf(",");
|
||||
|
||||
const mimeType = url.slice(colonIndex + 1, semicolonIndex);
|
||||
const encodeType = url.slice(semicolonIndex + 1, comma);
|
||||
const data = url.slice(comma + 1);
|
||||
|
||||
return {
|
||||
type: "image" as const,
|
||||
source: {
|
||||
type: encodeType,
|
||||
media_type: mimeType,
|
||||
data,
|
||||
},
|
||||
};
|
||||
}),
|
||||
};
|
||||
});
|
||||
|
||||
if (prompt[0]?.role === "assistant") {
|
||||
prompt.unshift({
|
||||
role: "user",
|
||||
content: ";",
|
||||
});
|
||||
}
|
||||
|
||||
const requestBody: AnthropicChatRequest = {
|
||||
messages: prompt,
|
||||
stream: shouldStream,
|
||||
|
||||
model: modelConfig.model,
|
||||
max_tokens: modelConfig.max_tokens,
|
||||
temperature: modelConfig.temperature,
|
||||
top_p: modelConfig.top_p,
|
||||
// top_k: modelConfig.top_k,
|
||||
top_k: 5,
|
||||
};
|
||||
|
||||
const path = this.path(Anthropic.ChatPath);
|
||||
|
||||
const controller = new AbortController();
|
||||
options.onController?.(controller);
|
||||
|
||||
const payload = {
|
||||
method: "POST",
|
||||
body: JSON.stringify(requestBody),
|
||||
signal: controller.signal,
|
||||
headers: {
|
||||
...getHeaders(), // get common headers
|
||||
"anthropic-version": accessStore.anthropicApiVersion,
|
||||
// do not send `anthropicApiKey` in browser!!!
|
||||
// Authorization: getAuthKey(accessStore.anthropicApiKey),
|
||||
},
|
||||
};
|
||||
|
||||
if (shouldStream) {
|
||||
try {
|
||||
const context = {
|
||||
text: "",
|
||||
finished: false,
|
||||
};
|
||||
|
||||
const finish = () => {
|
||||
if (!context.finished) {
|
||||
options.onFinish(context.text);
|
||||
context.finished = true;
|
||||
}
|
||||
};
|
||||
|
||||
controller.signal.onabort = finish;
|
||||
fetchEventSource(path, {
|
||||
...payload,
|
||||
async onopen(res) {
|
||||
const contentType = res.headers.get("content-type");
|
||||
console.log("response content type: ", contentType);
|
||||
|
||||
if (contentType?.startsWith("text/plain")) {
|
||||
context.text = await res.clone().text();
|
||||
return finish();
|
||||
}
|
||||
|
||||
if (
|
||||
!res.ok ||
|
||||
!res.headers
|
||||
.get("content-type")
|
||||
?.startsWith(EventStreamContentType) ||
|
||||
res.status !== 200
|
||||
) {
|
||||
const responseTexts = [context.text];
|
||||
let extraInfo = await res.clone().text();
|
||||
try {
|
||||
const resJson = await res.clone().json();
|
||||
extraInfo = prettyObject(resJson);
|
||||
} catch {}
|
||||
|
||||
if (res.status === 401) {
|
||||
responseTexts.push(Locale.Error.Unauthorized);
|
||||
}
|
||||
|
||||
if (extraInfo) {
|
||||
responseTexts.push(extraInfo);
|
||||
}
|
||||
|
||||
context.text = responseTexts.join("\n\n");
|
||||
|
||||
return finish();
|
||||
}
|
||||
},
|
||||
onmessage(msg) {
|
||||
let chunkJson:
|
||||
| undefined
|
||||
| {
|
||||
type: "content_block_delta" | "content_block_stop";
|
||||
delta?: {
|
||||
type: "text_delta";
|
||||
text: string;
|
||||
};
|
||||
index: number;
|
||||
};
|
||||
try {
|
||||
chunkJson = JSON.parse(msg.data);
|
||||
} catch (e) {
|
||||
console.error("[Response] parse error", msg.data);
|
||||
}
|
||||
|
||||
if (!chunkJson || chunkJson.type === "content_block_stop") {
|
||||
return finish();
|
||||
}
|
||||
|
||||
const { delta } = chunkJson;
|
||||
if (delta?.text) {
|
||||
context.text += delta.text;
|
||||
options.onUpdate?.(context.text, delta.text);
|
||||
}
|
||||
},
|
||||
onclose() {
|
||||
finish();
|
||||
},
|
||||
onerror(e) {
|
||||
options.onError?.(e);
|
||||
throw e;
|
||||
},
|
||||
openWhenHidden: true,
|
||||
});
|
||||
} catch (e) {
|
||||
console.error("failed to chat", e);
|
||||
options.onError?.(e as Error);
|
||||
}
|
||||
} else {
|
||||
try {
|
||||
controller.signal.onabort = () => options.onFinish("");
|
||||
|
||||
const res = await fetch(path, payload);
|
||||
const resJson = await res.json();
|
||||
|
||||
const message = this.extractMessage(resJson);
|
||||
options.onFinish(message);
|
||||
} catch (e) {
|
||||
console.error("failed to chat", e);
|
||||
options.onError?.(e as Error);
|
||||
}
|
||||
}
|
||||
}
|
||||
async usage() {
|
||||
return {
|
||||
used: 0,
|
||||
total: 0,
|
||||
};
|
||||
}
|
||||
async models() {
|
||||
// const provider = {
|
||||
// id: "anthropic",
|
||||
// providerName: "Anthropic",
|
||||
// providerType: "anthropic",
|
||||
// };
|
||||
|
||||
return [
|
||||
// {
|
||||
// name: "claude-instant-1.2",
|
||||
// available: true,
|
||||
// provider,
|
||||
// },
|
||||
// {
|
||||
// name: "claude-2.0",
|
||||
// available: true,
|
||||
// provider,
|
||||
// },
|
||||
// {
|
||||
// name: "claude-2.1",
|
||||
// available: true,
|
||||
// provider,
|
||||
// },
|
||||
// {
|
||||
// name: "claude-3-opus-20240229",
|
||||
// available: true,
|
||||
// provider,
|
||||
// },
|
||||
// {
|
||||
// name: "claude-3-sonnet-20240229",
|
||||
// available: true,
|
||||
// provider,
|
||||
// },
|
||||
// {
|
||||
// name: "claude-3-haiku-20240307",
|
||||
// available: true,
|
||||
// provider,
|
||||
// },
|
||||
];
|
||||
}
|
||||
path(path: string): string {
|
||||
const accessStore = useAccessStore.getState();
|
||||
|
||||
let baseUrl: string = "";
|
||||
|
||||
if (accessStore.useCustomConfig) {
|
||||
baseUrl = accessStore.anthropicUrl;
|
||||
}
|
||||
|
||||
// if endpoint is empty, use default endpoint
|
||||
if (baseUrl.trim().length === 0) {
|
||||
const isApp = !!getClientConfig()?.isApp;
|
||||
|
||||
baseUrl = isApp
|
||||
? DEFAULT_API_HOST + "/api/proxy/anthropic"
|
||||
: ApiPath.Anthropic;
|
||||
}
|
||||
|
||||
if (!baseUrl.startsWith("http") && !baseUrl.startsWith("/api")) {
|
||||
baseUrl = "https://" + baseUrl;
|
||||
}
|
||||
|
||||
baseUrl = trimEnd(baseUrl, "/");
|
||||
|
||||
// try rebuild url, when using cloudflare ai gateway in client
|
||||
return cloudflareAIGatewayUrl(`${baseUrl}/${path}`);
|
||||
}
|
||||
}
|
||||
|
||||
function trimEnd(s: string, end = " ") {
|
||||
if (end.length === 0) return s;
|
||||
|
||||
while (s.endsWith(end)) {
|
||||
s = s.slice(0, -end.length);
|
||||
}
|
||||
|
||||
return s;
|
||||
}
|
273
app/client/platforms/baidu.ts
Normal file
@@ -0,0 +1,273 @@
|
||||
"use client";
|
||||
import {
|
||||
ApiPath,
|
||||
Baidu,
|
||||
BAIDU_BASE_URL,
|
||||
REQUEST_TIMEOUT_MS,
|
||||
} from "@/app/constant";
|
||||
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
|
||||
import { getAccessToken } from "@/app/utils/baidu";
|
||||
|
||||
import {
|
||||
ChatOptions,
|
||||
getHeaders,
|
||||
LLMApi,
|
||||
LLMModel,
|
||||
MultimodalContent,
|
||||
} from "../api";
|
||||
import Locale from "../../locales";
|
||||
import {
|
||||
EventStreamContentType,
|
||||
fetchEventSource,
|
||||
} from "@fortaine/fetch-event-source";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { getClientConfig } from "@/app/config/client";
|
||||
import { getMessageTextContent } from "@/app/utils";
|
||||
|
||||
export interface OpenAIListModelResponse {
|
||||
object: string;
|
||||
data: Array<{
|
||||
id: string;
|
||||
object: string;
|
||||
root: string;
|
||||
}>;
|
||||
}
|
||||
|
||||
interface RequestPayload {
|
||||
messages: {
|
||||
role: "system" | "user" | "assistant";
|
||||
content: string | MultimodalContent[];
|
||||
}[];
|
||||
stream?: boolean;
|
||||
model: string;
|
||||
temperature: number;
|
||||
presence_penalty: number;
|
||||
frequency_penalty: number;
|
||||
top_p: number;
|
||||
max_tokens?: number;
|
||||
}
|
||||
|
||||
export class ErnieApi implements LLMApi {
|
||||
path(path: string): string {
|
||||
const accessStore = useAccessStore.getState();
|
||||
|
||||
let baseUrl = "";
|
||||
|
||||
if (accessStore.useCustomConfig) {
|
||||
baseUrl = accessStore.baiduUrl;
|
||||
}
|
||||
|
||||
if (baseUrl.length === 0) {
|
||||
const isApp = !!getClientConfig()?.isApp;
|
||||
// do not use proxy for baidubce api
|
||||
baseUrl = isApp ? BAIDU_BASE_URL : ApiPath.Baidu;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, baseUrl.length - 1);
|
||||
}
|
||||
if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.Baidu)) {
|
||||
baseUrl = "https://" + baseUrl;
|
||||
}
|
||||
|
||||
console.log("[Proxy Endpoint] ", baseUrl, path);
|
||||
|
||||
return [baseUrl, path].join("/");
|
||||
}
|
||||
|
||||
async chat(options: ChatOptions) {
|
||||
const messages = options.messages.map((v) => ({
|
||||
role: v.role,
|
||||
content: getMessageTextContent(v),
|
||||
}));
|
||||
|
||||
// "error_code": 336006, "error_msg": "the length of messages must be an odd number",
|
||||
if (messages.length % 2 === 0) {
|
||||
messages.unshift({
|
||||
role: "user",
|
||||
content: " ",
|
||||
});
|
||||
}
|
||||
|
||||
const modelConfig = {
|
||||
...useAppConfig.getState().modelConfig,
|
||||
...useChatStore.getState().currentSession().mask.modelConfig,
|
||||
...{
|
||||
model: options.config.model,
|
||||
},
|
||||
};
|
||||
|
||||
const shouldStream = !!options.config.stream;
|
||||
const requestPayload: RequestPayload = {
|
||||
messages,
|
||||
stream: shouldStream,
|
||||
model: modelConfig.model,
|
||||
temperature: modelConfig.temperature,
|
||||
presence_penalty: modelConfig.presence_penalty,
|
||||
frequency_penalty: modelConfig.frequency_penalty,
|
||||
top_p: modelConfig.top_p,
|
||||
};
|
||||
|
||||
console.log("[Request] Baidu payload: ", requestPayload);
|
||||
|
||||
const controller = new AbortController();
|
||||
options.onController?.(controller);
|
||||
|
||||
try {
|
||||
let chatPath = this.path(Baidu.ChatPath(modelConfig.model));
|
||||
|
||||
// getAccessToken can not run in browser, because cors error
|
||||
if (!!getClientConfig()?.isApp) {
|
||||
const accessStore = useAccessStore.getState();
|
||||
if (accessStore.useCustomConfig) {
|
||||
if (accessStore.isValidBaidu()) {
|
||||
const { access_token } = await getAccessToken(
|
||||
accessStore.baiduApiKey,
|
||||
accessStore.baiduSecretKey,
|
||||
);
|
||||
chatPath = `${chatPath}${
|
||||
chatPath.includes("?") ? "&" : "?"
|
||||
}access_token=${access_token}`;
|
||||
}
|
||||
}
|
||||
}
|
||||
const chatPayload = {
|
||||
method: "POST",
|
||||
body: JSON.stringify(requestPayload),
|
||||
signal: controller.signal,
|
||||
headers: getHeaders(),
|
||||
};
|
||||
|
||||
// make a fetch request
|
||||
const requestTimeoutId = setTimeout(
|
||||
() => controller.abort(),
|
||||
REQUEST_TIMEOUT_MS,
|
||||
);
|
||||
|
||||
if (shouldStream) {
|
||||
let responseText = "";
|
||||
let remainText = "";
|
||||
let finished = false;
|
||||
|
||||
// animate response to make it looks smooth
|
||||
function animateResponseText() {
|
||||
if (finished || controller.signal.aborted) {
|
||||
responseText += remainText;
|
||||
console.log("[Response Animation] finished");
|
||||
if (responseText?.length === 0) {
|
||||
options.onError?.(new Error("empty response from server"));
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
if (remainText.length > 0) {
|
||||
const fetchCount = Math.max(1, Math.round(remainText.length / 60));
|
||||
const fetchText = remainText.slice(0, fetchCount);
|
||||
responseText += fetchText;
|
||||
remainText = remainText.slice(fetchCount);
|
||||
options.onUpdate?.(responseText, fetchText);
|
||||
}
|
||||
|
||||
requestAnimationFrame(animateResponseText);
|
||||
}
|
||||
|
||||
// start animaion
|
||||
animateResponseText();
|
||||
|
||||
const finish = () => {
|
||||
if (!finished) {
|
||||
finished = true;
|
||||
options.onFinish(responseText + remainText);
|
||||
}
|
||||
};
|
||||
|
||||
controller.signal.onabort = finish;
|
||||
|
||||
fetchEventSource(chatPath, {
|
||||
...chatPayload,
|
||||
async onopen(res) {
|
||||
clearTimeout(requestTimeoutId);
|
||||
const contentType = res.headers.get("content-type");
|
||||
console.log("[Baidu] request response content type: ", contentType);
|
||||
|
||||
if (contentType?.startsWith("text/plain")) {
|
||||
responseText = await res.clone().text();
|
||||
return finish();
|
||||
}
|
||||
|
||||
if (
|
||||
!res.ok ||
|
||||
!res.headers
|
||||
.get("content-type")
|
||||
?.startsWith(EventStreamContentType) ||
|
||||
res.status !== 200
|
||||
) {
|
||||
const responseTexts = [responseText];
|
||||
let extraInfo = await res.clone().text();
|
||||
try {
|
||||
const resJson = await res.clone().json();
|
||||
extraInfo = prettyObject(resJson);
|
||||
} catch {}
|
||||
|
||||
if (res.status === 401) {
|
||||
responseTexts.push(Locale.Error.Unauthorized);
|
||||
}
|
||||
|
||||
if (extraInfo) {
|
||||
responseTexts.push(extraInfo);
|
||||
}
|
||||
|
||||
responseText = responseTexts.join("\n\n");
|
||||
|
||||
return finish();
|
||||
}
|
||||
},
|
||||
onmessage(msg) {
|
||||
if (msg.data === "[DONE]" || finished) {
|
||||
return finish();
|
||||
}
|
||||
const text = msg.data;
|
||||
try {
|
||||
const json = JSON.parse(text);
|
||||
const delta = json?.result;
|
||||
if (delta) {
|
||||
remainText += delta;
|
||||
}
|
||||
} catch (e) {
|
||||
console.error("[Request] parse error", text, msg);
|
||||
}
|
||||
},
|
||||
onclose() {
|
||||
finish();
|
||||
},
|
||||
onerror(e) {
|
||||
options.onError?.(e);
|
||||
throw e;
|
||||
},
|
||||
openWhenHidden: true,
|
||||
});
|
||||
} else {
|
||||
const res = await fetch(chatPath, chatPayload);
|
||||
clearTimeout(requestTimeoutId);
|
||||
|
||||
const resJson = await res.json();
|
||||
const message = resJson?.result;
|
||||
options.onFinish(message);
|
||||
}
|
||||
} catch (e) {
|
||||
console.log("[Request] failed to make a chat request", e);
|
||||
options.onError?.(e as Error);
|
||||
}
|
||||
}
|
||||
async usage() {
|
||||
return {
|
||||
used: 0,
|
||||
total: 0,
|
||||
};
|
||||
}
|
||||
|
||||
async models(): Promise<LLMModel[]> {
|
||||
return [];
|
||||
}
|
||||
}
|
||||
export { Baidu };
|
255
app/client/platforms/bytedance.ts
Normal file
@@ -0,0 +1,255 @@
|
||||
"use client";
|
||||
import {
|
||||
ApiPath,
|
||||
ByteDance,
|
||||
BYTEDANCE_BASE_URL,
|
||||
REQUEST_TIMEOUT_MS,
|
||||
} from "@/app/constant";
|
||||
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
|
||||
|
||||
import {
|
||||
ChatOptions,
|
||||
getHeaders,
|
||||
LLMApi,
|
||||
LLMModel,
|
||||
MultimodalContent,
|
||||
} from "../api";
|
||||
import Locale from "../../locales";
|
||||
import {
|
||||
EventStreamContentType,
|
||||
fetchEventSource,
|
||||
} from "@fortaine/fetch-event-source";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { getClientConfig } from "@/app/config/client";
|
||||
import { getMessageTextContent } from "@/app/utils";
|
||||
|
||||
export interface OpenAIListModelResponse {
|
||||
object: string;
|
||||
data: Array<{
|
||||
id: string;
|
||||
object: string;
|
||||
root: string;
|
||||
}>;
|
||||
}
|
||||
|
||||
interface RequestPayload {
|
||||
messages: {
|
||||
role: "system" | "user" | "assistant";
|
||||
content: string | MultimodalContent[];
|
||||
}[];
|
||||
stream?: boolean;
|
||||
model: string;
|
||||
temperature: number;
|
||||
presence_penalty: number;
|
||||
frequency_penalty: number;
|
||||
top_p: number;
|
||||
max_tokens?: number;
|
||||
}
|
||||
|
||||
export class DoubaoApi implements LLMApi {
|
||||
path(path: string): string {
|
||||
const accessStore = useAccessStore.getState();
|
||||
|
||||
let baseUrl = "";
|
||||
|
||||
if (accessStore.useCustomConfig) {
|
||||
baseUrl = accessStore.bytedanceUrl;
|
||||
}
|
||||
|
||||
if (baseUrl.length === 0) {
|
||||
const isApp = !!getClientConfig()?.isApp;
|
||||
baseUrl = isApp ? BYTEDANCE_BASE_URL : ApiPath.ByteDance;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, baseUrl.length - 1);
|
||||
}
|
||||
if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.ByteDance)) {
|
||||
baseUrl = "https://" + baseUrl;
|
||||
}
|
||||
|
||||
console.log("[Proxy Endpoint] ", baseUrl, path);
|
||||
|
||||
return [baseUrl, path].join("/");
|
||||
}
|
||||
|
||||
extractMessage(res: any) {
|
||||
return res.choices?.at(0)?.message?.content ?? "";
|
||||
}
|
||||
|
||||
async chat(options: ChatOptions) {
|
||||
const messages = options.messages.map((v) => ({
|
||||
role: v.role,
|
||||
content: getMessageTextContent(v),
|
||||
}));
|
||||
|
||||
const modelConfig = {
|
||||
...useAppConfig.getState().modelConfig,
|
||||
...useChatStore.getState().currentSession().mask.modelConfig,
|
||||
...{
|
||||
model: options.config.model,
|
||||
},
|
||||
};
|
||||
|
||||
const shouldStream = !!options.config.stream;
|
||||
const requestPayload: RequestPayload = {
|
||||
messages,
|
||||
stream: shouldStream,
|
||||
model: modelConfig.model,
|
||||
temperature: modelConfig.temperature,
|
||||
presence_penalty: modelConfig.presence_penalty,
|
||||
frequency_penalty: modelConfig.frequency_penalty,
|
||||
top_p: modelConfig.top_p,
|
||||
};
|
||||
|
||||
const controller = new AbortController();
|
||||
options.onController?.(controller);
|
||||
|
||||
try {
|
||||
const chatPath = this.path(ByteDance.ChatPath);
|
||||
const chatPayload = {
|
||||
method: "POST",
|
||||
body: JSON.stringify(requestPayload),
|
||||
signal: controller.signal,
|
||||
headers: getHeaders(),
|
||||
};
|
||||
|
||||
// make a fetch request
|
||||
const requestTimeoutId = setTimeout(
|
||||
() => controller.abort(),
|
||||
REQUEST_TIMEOUT_MS,
|
||||
);
|
||||
|
||||
if (shouldStream) {
|
||||
let responseText = "";
|
||||
let remainText = "";
|
||||
let finished = false;
|
||||
|
||||
// animate response to make it looks smooth
|
||||
function animateResponseText() {
|
||||
if (finished || controller.signal.aborted) {
|
||||
responseText += remainText;
|
||||
console.log("[Response Animation] finished");
|
||||
if (responseText?.length === 0) {
|
||||
options.onError?.(new Error("empty response from server"));
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
if (remainText.length > 0) {
|
||||
const fetchCount = Math.max(1, Math.round(remainText.length / 60));
|
||||
const fetchText = remainText.slice(0, fetchCount);
|
||||
responseText += fetchText;
|
||||
remainText = remainText.slice(fetchCount);
|
||||
options.onUpdate?.(responseText, fetchText);
|
||||
}
|
||||
|
||||
requestAnimationFrame(animateResponseText);
|
||||
}
|
||||
|
||||
// start animaion
|
||||
animateResponseText();
|
||||
|
||||
const finish = () => {
|
||||
if (!finished) {
|
||||
finished = true;
|
||||
options.onFinish(responseText + remainText);
|
||||
}
|
||||
};
|
||||
|
||||
controller.signal.onabort = finish;
|
||||
|
||||
fetchEventSource(chatPath, {
|
||||
...chatPayload,
|
||||
async onopen(res) {
|
||||
clearTimeout(requestTimeoutId);
|
||||
const contentType = res.headers.get("content-type");
|
||||
console.log(
|
||||
"[ByteDance] request response content type: ",
|
||||
contentType,
|
||||
);
|
||||
|
||||
if (contentType?.startsWith("text/plain")) {
|
||||
responseText = await res.clone().text();
|
||||
return finish();
|
||||
}
|
||||
|
||||
if (
|
||||
!res.ok ||
|
||||
!res.headers
|
||||
.get("content-type")
|
||||
?.startsWith(EventStreamContentType) ||
|
||||
res.status !== 200
|
||||
) {
|
||||
const responseTexts = [responseText];
|
||||
let extraInfo = await res.clone().text();
|
||||
try {
|
||||
const resJson = await res.clone().json();
|
||||
extraInfo = prettyObject(resJson);
|
||||
} catch {}
|
||||
|
||||
if (res.status === 401) {
|
||||
responseTexts.push(Locale.Error.Unauthorized);
|
||||
}
|
||||
|
||||
if (extraInfo) {
|
||||
responseTexts.push(extraInfo);
|
||||
}
|
||||
|
||||
responseText = responseTexts.join("\n\n");
|
||||
|
||||
return finish();
|
||||
}
|
||||
},
|
||||
onmessage(msg) {
|
||||
if (msg.data === "[DONE]" || finished) {
|
||||
return finish();
|
||||
}
|
||||
const text = msg.data;
|
||||
try {
|
||||
const json = JSON.parse(text);
|
||||
const choices = json.choices as Array<{
|
||||
delta: { content: string };
|
||||
}>;
|
||||
const delta = choices[0]?.delta?.content;
|
||||
if (delta) {
|
||||
remainText += delta;
|
||||
}
|
||||
} catch (e) {
|
||||
console.error("[Request] parse error", text, msg);
|
||||
}
|
||||
},
|
||||
onclose() {
|
||||
finish();
|
||||
},
|
||||
onerror(e) {
|
||||
options.onError?.(e);
|
||||
throw e;
|
||||
},
|
||||
openWhenHidden: true,
|
||||
});
|
||||
} else {
|
||||
const res = await fetch(chatPath, chatPayload);
|
||||
clearTimeout(requestTimeoutId);
|
||||
|
||||
const resJson = await res.json();
|
||||
const message = this.extractMessage(resJson);
|
||||
options.onFinish(message);
|
||||
}
|
||||
} catch (e) {
|
||||
console.log("[Request] failed to make a chat request", e);
|
||||
options.onError?.(e as Error);
|
||||
}
|
||||
}
|
||||
async usage() {
|
||||
return {
|
||||
used: 0,
|
||||
total: 0,
|
||||
};
|
||||
}
|
||||
|
||||
async models(): Promise<LLMModel[]> {
|
||||
return [];
|
||||
}
|
||||
}
|
||||
export { ByteDance };
|
@@ -1,16 +1,50 @@
|
||||
import { Google, REQUEST_TIMEOUT_MS } from "@/app/constant";
|
||||
import { ApiPath, Google, REQUEST_TIMEOUT_MS } from "@/app/constant";
|
||||
import { ChatOptions, getHeaders, LLMApi, LLMModel, LLMUsage } from "../api";
|
||||
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
|
||||
import { getClientConfig } from "@/app/config/client";
|
||||
import { DEFAULT_API_HOST } from "@/app/constant";
|
||||
import Locale from "../../locales";
|
||||
import {
|
||||
EventStreamContentType,
|
||||
fetchEventSource,
|
||||
} from "@fortaine/fetch-event-source";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { getClientConfig } from "@/app/config/client";
|
||||
import Locale from "../../locales";
|
||||
import { getServerSideConfig } from "@/app/config/server";
|
||||
import de from "@/app/locales/de";
|
||||
import {
|
||||
getMessageTextContent,
|
||||
getMessageImages,
|
||||
isVisionModel,
|
||||
} from "@/app/utils";
|
||||
import { preProcessImageContent } from "@/app/utils/chat";
|
||||
|
||||
export class GeminiProApi implements LLMApi {
|
||||
path(path: string): string {
|
||||
const accessStore = useAccessStore.getState();
|
||||
|
||||
let baseUrl = "";
|
||||
if (accessStore.useCustomConfig) {
|
||||
baseUrl = accessStore.googleUrl;
|
||||
}
|
||||
|
||||
if (baseUrl.length === 0) {
|
||||
const isApp = !!getClientConfig()?.isApp;
|
||||
baseUrl = isApp
|
||||
? DEFAULT_API_HOST + `/api/proxy/google?key=${accessStore.googleApiKey}`
|
||||
: ApiPath.Google;
|
||||
}
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, baseUrl.length - 1);
|
||||
}
|
||||
if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.Google)) {
|
||||
baseUrl = "https://" + baseUrl;
|
||||
}
|
||||
|
||||
console.log("[Proxy Endpoint] ", baseUrl, path);
|
||||
|
||||
let chatPath = [baseUrl, path].join("/");
|
||||
|
||||
chatPath += chatPath.includes("?") ? "&alt=sse" : "?alt=sse";
|
||||
return chatPath;
|
||||
}
|
||||
extractMessage(res: any) {
|
||||
console.log("[Response] gemini-pro response: ", res);
|
||||
|
||||
@@ -22,10 +56,39 @@ export class GeminiProApi implements LLMApi {
|
||||
}
|
||||
async chat(options: ChatOptions): Promise<void> {
|
||||
const apiClient = this;
|
||||
const messages = options.messages.map((v) => ({
|
||||
role: v.role.replace("assistant", "model").replace("system", "user"),
|
||||
parts: [{ text: v.content }],
|
||||
}));
|
||||
let multimodal = false;
|
||||
|
||||
// try get base64image from local cache image_url
|
||||
const _messages: ChatOptions["messages"] = [];
|
||||
for (const v of options.messages) {
|
||||
const content = await preProcessImageContent(v.content);
|
||||
_messages.push({ role: v.role, content });
|
||||
}
|
||||
const messages = _messages.map((v) => {
|
||||
let parts: any[] = [{ text: getMessageTextContent(v) }];
|
||||
if (isVisionModel(options.config.model)) {
|
||||
const images = getMessageImages(v);
|
||||
if (images.length > 0) {
|
||||
multimodal = true;
|
||||
parts = parts.concat(
|
||||
images.map((image) => {
|
||||
const imageType = image.split(";")[0].split(":")[1];
|
||||
const imageData = image.split(",")[1];
|
||||
return {
|
||||
inline_data: {
|
||||
mime_type: imageType,
|
||||
data: imageData,
|
||||
},
|
||||
};
|
||||
}),
|
||||
);
|
||||
}
|
||||
}
|
||||
return {
|
||||
role: v.role.replace("assistant", "model").replace("system", "user"),
|
||||
parts: parts,
|
||||
};
|
||||
});
|
||||
|
||||
// google requires that role in neighboring messages must not be the same
|
||||
for (let i = 0; i < messages.length - 1; ) {
|
||||
@@ -40,7 +103,9 @@ export class GeminiProApi implements LLMApi {
|
||||
i++;
|
||||
}
|
||||
}
|
||||
|
||||
// if (visionModel && messages.length > 1) {
|
||||
// options.onError?.(new Error("Multiturn chat is not enabled for models/gemini-pro-vision"));
|
||||
// }
|
||||
const modelConfig = {
|
||||
...useAppConfig.getState().modelConfig,
|
||||
...useChatStore.getState().currentSession().mask.modelConfig,
|
||||
@@ -79,13 +144,13 @@ export class GeminiProApi implements LLMApi {
|
||||
],
|
||||
};
|
||||
|
||||
console.log("[Request] google payload: ", requestPayload);
|
||||
|
||||
const shouldStream = !!options.config.stream;
|
||||
let shouldStream = !!options.config.stream;
|
||||
const controller = new AbortController();
|
||||
options.onController?.(controller);
|
||||
try {
|
||||
const chatPath = this.path(Google.ChatPath);
|
||||
// https://github.com/google-gemini/cookbook/blob/main/quickstarts/rest/Streaming_REST.ipynb
|
||||
const chatPath = this.path(Google.ChatPath(modelConfig.model));
|
||||
|
||||
const chatPayload = {
|
||||
method: "POST",
|
||||
body: JSON.stringify(requestPayload),
|
||||
@@ -98,19 +163,17 @@ export class GeminiProApi implements LLMApi {
|
||||
() => controller.abort(),
|
||||
REQUEST_TIMEOUT_MS,
|
||||
);
|
||||
|
||||
if (shouldStream) {
|
||||
let responseText = "";
|
||||
let remainText = "";
|
||||
let streamChatPath = chatPath.replace(
|
||||
"generateContent",
|
||||
"streamGenerateContent",
|
||||
);
|
||||
let finished = false;
|
||||
|
||||
let existingTexts: string[] = [];
|
||||
const finish = () => {
|
||||
finished = true;
|
||||
options.onFinish(existingTexts.join(""));
|
||||
if (!finished) {
|
||||
finished = true;
|
||||
options.onFinish(responseText + remainText);
|
||||
}
|
||||
};
|
||||
|
||||
// animate response to make it looks smooth
|
||||
@@ -134,62 +197,86 @@ export class GeminiProApi implements LLMApi {
|
||||
|
||||
// start animaion
|
||||
animateResponseText();
|
||||
fetch(streamChatPath, chatPayload)
|
||||
.then((response) => {
|
||||
const reader = response?.body?.getReader();
|
||||
const decoder = new TextDecoder();
|
||||
let partialData = "";
|
||||
|
||||
return reader?.read().then(function processText({
|
||||
done,
|
||||
value,
|
||||
}): Promise<any> {
|
||||
if (done) {
|
||||
console.log("Stream complete");
|
||||
// options.onFinish(responseText + remainText);
|
||||
finished = true;
|
||||
return Promise.resolve();
|
||||
}
|
||||
controller.signal.onabort = finish;
|
||||
|
||||
partialData += decoder.decode(value, { stream: true });
|
||||
fetchEventSource(chatPath, {
|
||||
...chatPayload,
|
||||
async onopen(res) {
|
||||
clearTimeout(requestTimeoutId);
|
||||
const contentType = res.headers.get("content-type");
|
||||
console.log(
|
||||
"[Gemini] request response content type: ",
|
||||
contentType,
|
||||
);
|
||||
|
||||
if (contentType?.startsWith("text/plain")) {
|
||||
responseText = await res.clone().text();
|
||||
return finish();
|
||||
}
|
||||
|
||||
if (
|
||||
!res.ok ||
|
||||
!res.headers
|
||||
.get("content-type")
|
||||
?.startsWith(EventStreamContentType) ||
|
||||
res.status !== 200
|
||||
) {
|
||||
const responseTexts = [responseText];
|
||||
let extraInfo = await res.clone().text();
|
||||
try {
|
||||
let data = JSON.parse(ensureProperEnding(partialData));
|
||||
const resJson = await res.clone().json();
|
||||
extraInfo = prettyObject(resJson);
|
||||
} catch {}
|
||||
|
||||
const textArray = data.reduce(
|
||||
(acc: string[], item: { candidates: any[] }) => {
|
||||
const texts = item.candidates.map((candidate) =>
|
||||
candidate.content.parts
|
||||
.map((part: { text: any }) => part.text)
|
||||
.join(""),
|
||||
);
|
||||
return acc.concat(texts);
|
||||
},
|
||||
[],
|
||||
);
|
||||
|
||||
if (textArray.length > existingTexts.length) {
|
||||
const deltaArray = textArray.slice(existingTexts.length);
|
||||
existingTexts = textArray;
|
||||
remainText += deltaArray.join("");
|
||||
}
|
||||
} catch (error) {
|
||||
// console.log("[Response Animation] error: ", error,partialData);
|
||||
// skip error message when parsing json
|
||||
if (res.status === 401) {
|
||||
responseTexts.push(Locale.Error.Unauthorized);
|
||||
}
|
||||
|
||||
return reader.read().then(processText);
|
||||
});
|
||||
})
|
||||
.catch((error) => {
|
||||
console.error("Error:", error);
|
||||
});
|
||||
if (extraInfo) {
|
||||
responseTexts.push(extraInfo);
|
||||
}
|
||||
|
||||
responseText = responseTexts.join("\n\n");
|
||||
|
||||
return finish();
|
||||
}
|
||||
},
|
||||
onmessage(msg) {
|
||||
if (msg.data === "[DONE]" || finished) {
|
||||
return finish();
|
||||
}
|
||||
const text = msg.data;
|
||||
try {
|
||||
const json = JSON.parse(text);
|
||||
const delta = apiClient.extractMessage(json);
|
||||
|
||||
if (delta) {
|
||||
remainText += delta;
|
||||
}
|
||||
|
||||
const blockReason = json?.promptFeedback?.blockReason;
|
||||
if (blockReason) {
|
||||
// being blocked
|
||||
console.log(`[Google] [Safety Ratings] result:`, blockReason);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error("[Request] parse error", text, msg);
|
||||
}
|
||||
},
|
||||
onclose() {
|
||||
finish();
|
||||
},
|
||||
onerror(e) {
|
||||
options.onError?.(e);
|
||||
throw e;
|
||||
},
|
||||
openWhenHidden: true,
|
||||
});
|
||||
} else {
|
||||
const res = await fetch(chatPath, chatPayload);
|
||||
clearTimeout(requestTimeoutId);
|
||||
|
||||
const resJson = await res.json();
|
||||
|
||||
if (resJson?.promptFeedback?.blockReason) {
|
||||
// being blocked
|
||||
options.onError?.(
|
||||
@@ -199,7 +286,7 @@ export class GeminiProApi implements LLMApi {
|
||||
),
|
||||
);
|
||||
}
|
||||
const message = this.extractMessage(resJson);
|
||||
const message = apiClient.extractMessage(resJson);
|
||||
options.onFinish(message);
|
||||
}
|
||||
} catch (e) {
|
||||
@@ -213,14 +300,4 @@ export class GeminiProApi implements LLMApi {
|
||||
async models(): Promise<LLMModel[]> {
|
||||
return [];
|
||||
}
|
||||
path(path: string): string {
|
||||
return "/api/google/" + path;
|
||||
}
|
||||
}
|
||||
|
||||
function ensureProperEnding(str: string) {
|
||||
if (str.startsWith("[") && !str.endsWith("]")) {
|
||||
return str + "]";
|
||||
}
|
||||
return str;
|
||||
}
|
||||
|
@@ -1,14 +1,27 @@
|
||||
"use client";
|
||||
// azure and openai, using same models. so using same LLMApi.
|
||||
import {
|
||||
ApiPath,
|
||||
DEFAULT_API_HOST,
|
||||
DEFAULT_MODELS,
|
||||
OpenaiPath,
|
||||
Azure,
|
||||
REQUEST_TIMEOUT_MS,
|
||||
ServiceProvider,
|
||||
} from "@/app/constant";
|
||||
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
|
||||
import { collectModelsWithDefaultModel } from "@/app/utils/model";
|
||||
import { preProcessImageContent } from "@/app/utils/chat";
|
||||
import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
|
||||
|
||||
import { ChatOptions, getHeaders, LLMApi, LLMModel, LLMUsage } from "../api";
|
||||
import {
|
||||
ChatOptions,
|
||||
getHeaders,
|
||||
LLMApi,
|
||||
LLMModel,
|
||||
LLMUsage,
|
||||
MultimodalContent,
|
||||
} from "../api";
|
||||
import Locale from "../../locales";
|
||||
import {
|
||||
EventStreamContentType,
|
||||
@@ -16,7 +29,11 @@ import {
|
||||
} from "@fortaine/fetch-event-source";
|
||||
import { prettyObject } from "@/app/utils/format";
|
||||
import { getClientConfig } from "@/app/config/client";
|
||||
import { makeAzurePath } from "@/app/azure";
|
||||
import {
|
||||
getMessageTextContent,
|
||||
getMessageImages,
|
||||
isVisionModel,
|
||||
} from "@/app/utils";
|
||||
|
||||
export interface OpenAIListModelResponse {
|
||||
object: string;
|
||||
@@ -27,39 +44,60 @@ export interface OpenAIListModelResponse {
|
||||
}>;
|
||||
}
|
||||
|
||||
export interface RequestPayload {
|
||||
messages: {
|
||||
role: "system" | "user" | "assistant";
|
||||
content: string | MultimodalContent[];
|
||||
}[];
|
||||
stream?: boolean;
|
||||
model: string;
|
||||
temperature: number;
|
||||
presence_penalty: number;
|
||||
frequency_penalty: number;
|
||||
top_p: number;
|
||||
max_tokens?: number;
|
||||
}
|
||||
|
||||
export class ChatGPTApi implements LLMApi {
|
||||
private disableListModels = true;
|
||||
|
||||
path(path: string): string {
|
||||
const accessStore = useAccessStore.getState();
|
||||
|
||||
const isAzure = accessStore.provider === ServiceProvider.Azure;
|
||||
let baseUrl = "";
|
||||
|
||||
if (isAzure && !accessStore.isValidAzure()) {
|
||||
throw Error(
|
||||
"incomplete azure config, please check it in your settings page",
|
||||
);
|
||||
const isAzure = path.includes("deployments");
|
||||
if (accessStore.useCustomConfig) {
|
||||
if (isAzure && !accessStore.isValidAzure()) {
|
||||
throw Error(
|
||||
"incomplete azure config, please check it in your settings page",
|
||||
);
|
||||
}
|
||||
|
||||
baseUrl = isAzure ? accessStore.azureUrl : accessStore.openaiUrl;
|
||||
}
|
||||
|
||||
let baseUrl = isAzure ? accessStore.azureUrl : accessStore.openaiUrl;
|
||||
|
||||
if (baseUrl.length === 0) {
|
||||
const isApp = !!getClientConfig()?.isApp;
|
||||
baseUrl = isApp ? DEFAULT_API_HOST : ApiPath.OpenAI;
|
||||
const apiPath = isAzure ? ApiPath.Azure : ApiPath.OpenAI;
|
||||
baseUrl = isApp ? DEFAULT_API_HOST + "/proxy" + apiPath : apiPath;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, baseUrl.length - 1);
|
||||
}
|
||||
if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.OpenAI)) {
|
||||
if (
|
||||
!baseUrl.startsWith("http") &&
|
||||
!isAzure &&
|
||||
!baseUrl.startsWith(ApiPath.OpenAI)
|
||||
) {
|
||||
baseUrl = "https://" + baseUrl;
|
||||
}
|
||||
|
||||
if (isAzure) {
|
||||
path = makeAzurePath(path, accessStore.azureApiVersion);
|
||||
}
|
||||
console.log("[Proxy Endpoint] ", baseUrl, path);
|
||||
|
||||
return [baseUrl, path].join("/");
|
||||
// try rebuild url, when using cloudflare ai gateway in client
|
||||
return cloudflareAIGatewayUrl([baseUrl, path].join("/"));
|
||||
}
|
||||
|
||||
extractMessage(res: any) {
|
||||
@@ -67,20 +105,25 @@ export class ChatGPTApi implements LLMApi {
|
||||
}
|
||||
|
||||
async chat(options: ChatOptions) {
|
||||
const messages = options.messages.map((v) => ({
|
||||
role: v.role,
|
||||
content: v.content,
|
||||
}));
|
||||
const visionModel = isVisionModel(options.config.model);
|
||||
const messages: ChatOptions["messages"] = [];
|
||||
for (const v of options.messages) {
|
||||
const content = visionModel
|
||||
? await preProcessImageContent(v.content)
|
||||
: getMessageTextContent(v);
|
||||
messages.push({ role: v.role, content });
|
||||
}
|
||||
|
||||
const modelConfig = {
|
||||
...useAppConfig.getState().modelConfig,
|
||||
...useChatStore.getState().currentSession().mask.modelConfig,
|
||||
...{
|
||||
model: options.config.model,
|
||||
providerName: options.config.providerName,
|
||||
},
|
||||
};
|
||||
|
||||
const requestPayload = {
|
||||
const requestPayload: RequestPayload = {
|
||||
messages,
|
||||
stream: options.config.stream,
|
||||
model: modelConfig.model,
|
||||
@@ -92,6 +135,11 @@ export class ChatGPTApi implements LLMApi {
|
||||
// Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
|
||||
};
|
||||
|
||||
// add max_tokens to vision model
|
||||
if (visionModel && modelConfig.model.includes("preview")) {
|
||||
requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
|
||||
}
|
||||
|
||||
console.log("[Request] openai payload: ", requestPayload);
|
||||
|
||||
const shouldStream = !!options.config.stream;
|
||||
@@ -99,7 +147,35 @@ export class ChatGPTApi implements LLMApi {
|
||||
options.onController?.(controller);
|
||||
|
||||
try {
|
||||
const chatPath = this.path(OpenaiPath.ChatPath);
|
||||
let chatPath = "";
|
||||
if (modelConfig.providerName === ServiceProvider.Azure) {
|
||||
// find model, and get displayName as deployName
|
||||
const { models: configModels, customModels: configCustomModels } =
|
||||
useAppConfig.getState();
|
||||
const {
|
||||
defaultModel,
|
||||
customModels: accessCustomModels,
|
||||
useCustomConfig,
|
||||
} = useAccessStore.getState();
|
||||
const models = collectModelsWithDefaultModel(
|
||||
configModels,
|
||||
[configCustomModels, accessCustomModels].join(","),
|
||||
defaultModel,
|
||||
);
|
||||
const model = models.find(
|
||||
(model) =>
|
||||
model.name === modelConfig.model &&
|
||||
model?.provider?.providerName === ServiceProvider.Azure,
|
||||
);
|
||||
chatPath = this.path(
|
||||
Azure.ChatPath(
|
||||
(model?.displayName ?? model?.name) as string,
|
||||
useCustomConfig ? useAccessStore.getState().azureApiVersion : "",
|
||||
),
|
||||
);
|
||||
} else {
|
||||
chatPath = this.path(OpenaiPath.ChatPath);
|
||||
}
|
||||
const chatPayload = {
|
||||
method: "POST",
|
||||
body: JSON.stringify(requestPayload),
|
||||
@@ -123,6 +199,9 @@ export class ChatGPTApi implements LLMApi {
|
||||
if (finished || controller.signal.aborted) {
|
||||
responseText += remainText;
|
||||
console.log("[Response Animation] finished");
|
||||
if (responseText?.length === 0) {
|
||||
options.onError?.(new Error("empty response from server"));
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -197,19 +276,31 @@ export class ChatGPTApi implements LLMApi {
|
||||
}
|
||||
const text = msg.data;
|
||||
try {
|
||||
const json = JSON.parse(text) as {
|
||||
choices: Array<{
|
||||
delta: {
|
||||
content: string;
|
||||
};
|
||||
}>;
|
||||
};
|
||||
const delta = json.choices[0]?.delta?.content;
|
||||
const json = JSON.parse(text);
|
||||
const choices = json.choices as Array<{
|
||||
delta: { content: string };
|
||||
}>;
|
||||
const delta = choices[0]?.delta?.content;
|
||||
const textmoderation = json?.prompt_filter_results;
|
||||
|
||||
if (delta) {
|
||||
remainText += delta;
|
||||
}
|
||||
|
||||
if (
|
||||
textmoderation &&
|
||||
textmoderation.length > 0 &&
|
||||
ServiceProvider.Azure
|
||||
) {
|
||||
const contentFilterResults =
|
||||
textmoderation[0]?.content_filter_results;
|
||||
console.log(
|
||||
`[${ServiceProvider.Azure}] [Text Moderation] flagged categories result:`,
|
||||
contentFilterResults,
|
||||
);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error("[Request] parse error", text);
|
||||
console.error("[Request] parse error", text, msg);
|
||||
}
|
||||
},
|
||||
onclose() {
|
||||
|
@@ -12,7 +12,7 @@ import {
|
||||
import { useChatStore } from "../store";
|
||||
|
||||
import Locale from "../locales";
|
||||
import { Link, useNavigate } from "react-router-dom";
|
||||
import { Link, useLocation, useNavigate } from "react-router-dom";
|
||||
import { Path } from "../constant";
|
||||
import { MaskAvatar } from "./mask";
|
||||
import { Mask } from "../store/mask";
|
||||
@@ -40,12 +40,16 @@ export function ChatItem(props: {
|
||||
});
|
||||
}
|
||||
}, [props.selected]);
|
||||
|
||||
const { pathname: currentPath } = useLocation();
|
||||
return (
|
||||
<Draggable draggableId={`${props.id}`} index={props.index}>
|
||||
{(provided) => (
|
||||
<div
|
||||
className={`${styles["chat-item"]} ${
|
||||
props.selected && styles["chat-item-selected"]
|
||||
props.selected &&
|
||||
(currentPath === Path.Chat || currentPath === Path.Home) &&
|
||||
styles["chat-item-selected"]
|
||||
}`}
|
||||
onClick={props.onClick}
|
||||
ref={(ele) => {
|
||||
|
@@ -1,5 +1,47 @@
|
||||
@import "../styles/animation.scss";
|
||||
|
||||
.attach-images {
|
||||
position: absolute;
|
||||
left: 30px;
|
||||
bottom: 32px;
|
||||
display: flex;
|
||||
}
|
||||
|
||||
.attach-image {
|
||||
cursor: default;
|
||||
width: 64px;
|
||||
height: 64px;
|
||||
border: rgba($color: #888, $alpha: 0.2) 1px solid;
|
||||
border-radius: 5px;
|
||||
margin-right: 10px;
|
||||
background-size: cover;
|
||||
background-position: center;
|
||||
background-color: var(--white);
|
||||
|
||||
.attach-image-mask {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
opacity: 0;
|
||||
transition: all ease 0.2s;
|
||||
}
|
||||
|
||||
.attach-image-mask:hover {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
.delete-image {
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
cursor: pointer;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
border-radius: 5px;
|
||||
float: right;
|
||||
background-color: var(--white);
|
||||
}
|
||||
}
|
||||
|
||||
.chat-input-actions {
|
||||
display: flex;
|
||||
flex-wrap: wrap;
|
||||
@@ -189,12 +231,10 @@
|
||||
|
||||
animation: slide-in ease 0.3s;
|
||||
|
||||
$linear: linear-gradient(
|
||||
to right,
|
||||
rgba(0, 0, 0, 0),
|
||||
rgba(0, 0, 0, 1),
|
||||
rgba(0, 0, 0, 0)
|
||||
);
|
||||
$linear: linear-gradient(to right,
|
||||
rgba(0, 0, 0, 0),
|
||||
rgba(0, 0, 0, 1),
|
||||
rgba(0, 0, 0, 0));
|
||||
mask-image: $linear;
|
||||
|
||||
@mixin show {
|
||||
@@ -327,7 +367,7 @@
|
||||
}
|
||||
}
|
||||
|
||||
.chat-message-user > .chat-message-container {
|
||||
.chat-message-user>.chat-message-container {
|
||||
align-items: flex-end;
|
||||
}
|
||||
|
||||
@@ -349,6 +389,7 @@
|
||||
padding: 7px;
|
||||
}
|
||||
}
|
||||
|
||||
/* Specific styles for iOS devices */
|
||||
@media screen and (max-device-width: 812px) and (-webkit-min-device-pixel-ratio: 2) {
|
||||
@supports (-webkit-touch-callout: none) {
|
||||
@@ -381,6 +422,64 @@
|
||||
transition: all ease 0.3s;
|
||||
}
|
||||
|
||||
.chat-message-item-image {
|
||||
width: 100%;
|
||||
margin-top: 10px;
|
||||
}
|
||||
|
||||
.chat-message-item-images {
|
||||
width: 100%;
|
||||
display: grid;
|
||||
justify-content: left;
|
||||
grid-gap: 10px;
|
||||
grid-template-columns: repeat(var(--image-count), auto);
|
||||
margin-top: 10px;
|
||||
}
|
||||
|
||||
.chat-message-item-image-multi {
|
||||
object-fit: cover;
|
||||
background-size: cover;
|
||||
background-position: center;
|
||||
background-repeat: no-repeat;
|
||||
}
|
||||
|
||||
.chat-message-item-image,
|
||||
.chat-message-item-image-multi {
|
||||
box-sizing: border-box;
|
||||
border-radius: 10px;
|
||||
border: rgba($color: #888, $alpha: 0.2) 1px solid;
|
||||
}
|
||||
|
||||
|
||||
@media only screen and (max-width: 600px) {
|
||||
$calc-image-width: calc(100vw/3*2/var(--image-count));
|
||||
|
||||
.chat-message-item-image-multi {
|
||||
width: $calc-image-width;
|
||||
height: $calc-image-width;
|
||||
}
|
||||
|
||||
.chat-message-item-image {
|
||||
max-width: calc(100vw/3*2);
|
||||
}
|
||||
}
|
||||
|
||||
@media screen and (min-width: 600px) {
|
||||
$max-image-width: calc(calc(1200px - var(--sidebar-width))/3*2/var(--image-count));
|
||||
$image-width: calc(calc(var(--window-width) - var(--sidebar-width))/3*2/var(--image-count));
|
||||
|
||||
.chat-message-item-image-multi {
|
||||
width: $image-width;
|
||||
height: $image-width;
|
||||
max-width: $max-image-width;
|
||||
max-height: $max-image-width;
|
||||
}
|
||||
|
||||
.chat-message-item-image {
|
||||
max-width: calc(calc(1200px - var(--sidebar-width))/3*2);
|
||||
}
|
||||
}
|
||||
|
||||
.chat-message-action-date {
|
||||
font-size: 12px;
|
||||
opacity: 0.2;
|
||||
@@ -395,7 +494,7 @@
|
||||
z-index: 1;
|
||||
}
|
||||
|
||||
.chat-message-user > .chat-message-container > .chat-message-item {
|
||||
.chat-message-user>.chat-message-container>.chat-message-item {
|
||||
background-color: var(--second);
|
||||
|
||||
&:hover {
|
||||
@@ -460,6 +559,7 @@
|
||||
|
||||
@include single-line();
|
||||
}
|
||||
|
||||
.hint-content {
|
||||
font-size: 12px;
|
||||
|
||||
@@ -474,15 +574,26 @@
|
||||
}
|
||||
|
||||
.chat-input-panel-inner {
|
||||
cursor: text;
|
||||
display: flex;
|
||||
flex: 1;
|
||||
border-radius: 10px;
|
||||
border: var(--border-in-light);
|
||||
}
|
||||
|
||||
.chat-input-panel-inner-attach {
|
||||
padding-bottom: 80px;
|
||||
}
|
||||
|
||||
.chat-input-panel-inner:has(.chat-input:focus) {
|
||||
border: 1px solid var(--primary);
|
||||
}
|
||||
|
||||
.chat-input {
|
||||
height: 100%;
|
||||
width: 100%;
|
||||
border-radius: 10px;
|
||||
border: var(--border-in-light);
|
||||
border: none;
|
||||
box-shadow: 0 -2px 5px rgba(0, 0, 0, 0.03);
|
||||
background-color: var(--white);
|
||||
color: var(--black);
|
||||
@@ -494,9 +605,7 @@
|
||||
min-height: 68px;
|
||||
}
|
||||
|
||||
.chat-input:focus {
|
||||
border: 1px solid var(--primary);
|
||||
}
|
||||
.chat-input:focus {}
|
||||
|
||||
.chat-input-send {
|
||||
background-color: var(--primary);
|
||||
@@ -515,4 +624,4 @@
|
||||
.chat-input-send {
|
||||
bottom: 30px;
|
||||
}
|
||||
}
|
||||
}
|
@@ -6,6 +6,7 @@ import React, {
|
||||
useMemo,
|
||||
useCallback,
|
||||
Fragment,
|
||||
RefObject,
|
||||
} from "react";
|
||||
|
||||
import SendWhiteIcon from "../icons/send-white.svg";
|
||||
@@ -15,6 +16,7 @@ import ExportIcon from "../icons/share.svg";
|
||||
import ReturnIcon from "../icons/return.svg";
|
||||
import CopyIcon from "../icons/copy.svg";
|
||||
import LoadingIcon from "../icons/three-dots.svg";
|
||||
import LoadingButtonIcon from "../icons/loading.svg";
|
||||
import PromptIcon from "../icons/prompt.svg";
|
||||
import MaskIcon from "../icons/mask.svg";
|
||||
import MaxIcon from "../icons/max.svg";
|
||||
@@ -27,6 +29,7 @@ import PinIcon from "../icons/pin.svg";
|
||||
import EditIcon from "../icons/rename.svg";
|
||||
import ConfirmIcon from "../icons/confirm.svg";
|
||||
import CancelIcon from "../icons/cancel.svg";
|
||||
import ImageIcon from "../icons/image.svg";
|
||||
|
||||
import LightIcon from "../icons/light.svg";
|
||||
import DarkIcon from "../icons/dark.svg";
|
||||
@@ -53,8 +56,13 @@ import {
|
||||
selectOrCopy,
|
||||
autoGrowTextArea,
|
||||
useMobileScreen,
|
||||
getMessageTextContent,
|
||||
getMessageImages,
|
||||
isVisionModel,
|
||||
} from "../utils";
|
||||
|
||||
import { uploadImage as uploadImageRemote } from "@/app/utils/chat";
|
||||
|
||||
import dynamic from "next/dynamic";
|
||||
|
||||
import { ChatControllerPool } from "../client/controller";
|
||||
@@ -80,6 +88,7 @@ import {
|
||||
Path,
|
||||
REQUEST_TIMEOUT_MS,
|
||||
UNFINISHED_INPUT,
|
||||
ServiceProvider,
|
||||
} from "../constant";
|
||||
import { Avatar } from "./emoji";
|
||||
import { ContextPrompts, MaskAvatar, MaskConfig } from "./mask";
|
||||
@@ -89,6 +98,7 @@ import { prettyObject } from "../utils/format";
|
||||
import { ExportMessageModal } from "./exporter";
|
||||
import { getClientConfig } from "../config/client";
|
||||
import { useAllModels } from "../utils/hooks";
|
||||
import { MultimodalContent } from "../client/api";
|
||||
|
||||
const Markdown = dynamic(async () => (await import("./markdown")).Markdown, {
|
||||
loading: () => <LoadingIcon />,
|
||||
@@ -211,6 +221,8 @@ function useSubmitHandler() {
|
||||
}, []);
|
||||
|
||||
const shouldSubmit = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
|
||||
// Fix Chinese input method "Enter" on Safari
|
||||
if (e.keyCode == 229) return false;
|
||||
if (e.key !== "Enter") return false;
|
||||
if (e.key === "Enter" && (e.nativeEvent.isComposing || isComposing.current))
|
||||
return false;
|
||||
@@ -233,11 +245,11 @@ function useSubmitHandler() {
|
||||
};
|
||||
}
|
||||
|
||||
export type RenderPompt = Pick<Prompt, "title" | "content">;
|
||||
export type RenderPrompt = Pick<Prompt, "title" | "content">;
|
||||
|
||||
export function PromptHints(props: {
|
||||
prompts: RenderPompt[];
|
||||
onPromptSelect: (prompt: RenderPompt) => void;
|
||||
prompts: RenderPrompt[];
|
||||
onPromptSelect: (prompt: RenderPrompt) => void;
|
||||
}) {
|
||||
const noPrompts = props.prompts.length === 0;
|
||||
const [selectIndex, setSelectIndex] = useState(0);
|
||||
@@ -375,11 +387,13 @@ function ChatAction(props: {
|
||||
);
|
||||
}
|
||||
|
||||
function useScrollToBottom() {
|
||||
function useScrollToBottom(
|
||||
scrollRef: RefObject<HTMLDivElement>,
|
||||
detach: boolean = false,
|
||||
) {
|
||||
// for auto-scroll
|
||||
const scrollRef = useRef<HTMLDivElement>(null);
|
||||
const [autoScroll, setAutoScroll] = useState(true);
|
||||
|
||||
const [autoScroll, setAutoScroll] = useState(true);
|
||||
function scrollDomToBottom() {
|
||||
const dom = scrollRef.current;
|
||||
if (dom) {
|
||||
@@ -392,7 +406,7 @@ function useScrollToBottom() {
|
||||
|
||||
// auto scroll
|
||||
useEffect(() => {
|
||||
if (autoScroll) {
|
||||
if (autoScroll && !detach) {
|
||||
scrollDomToBottom();
|
||||
}
|
||||
});
|
||||
@@ -406,10 +420,14 @@ function useScrollToBottom() {
|
||||
}
|
||||
|
||||
export function ChatActions(props: {
|
||||
uploadImage: () => void;
|
||||
setAttachImages: (images: string[]) => void;
|
||||
setUploading: (uploading: boolean) => void;
|
||||
showPromptModal: () => void;
|
||||
scrollToBottom: () => void;
|
||||
showPromptHints: () => void;
|
||||
hitBottom: boolean;
|
||||
uploading: boolean;
|
||||
}) {
|
||||
const config = useAppConfig();
|
||||
const navigate = useNavigate();
|
||||
@@ -431,23 +449,59 @@ export function ChatActions(props: {
|
||||
|
||||
// switch model
|
||||
const currentModel = chatStore.currentSession().mask.modelConfig.model;
|
||||
const currentProviderName =
|
||||
chatStore.currentSession().mask.modelConfig?.providerName ||
|
||||
ServiceProvider.OpenAI;
|
||||
const allModels = useAllModels();
|
||||
const models = useMemo(
|
||||
() => allModels.filter((m) => m.available),
|
||||
[allModels],
|
||||
);
|
||||
const models = useMemo(() => {
|
||||
const filteredModels = allModels.filter((m) => m.available);
|
||||
const defaultModel = filteredModels.find((m) => m.isDefault);
|
||||
|
||||
if (defaultModel) {
|
||||
const arr = [
|
||||
defaultModel,
|
||||
...filteredModels.filter((m) => m !== defaultModel),
|
||||
];
|
||||
return arr;
|
||||
} else {
|
||||
return filteredModels;
|
||||
}
|
||||
}, [allModels]);
|
||||
const currentModelName = useMemo(() => {
|
||||
const model = models.find(
|
||||
(m) =>
|
||||
m.name == currentModel &&
|
||||
m?.provider?.providerName == currentProviderName,
|
||||
);
|
||||
return model?.displayName ?? "";
|
||||
}, [models, currentModel, currentProviderName]);
|
||||
const [showModelSelector, setShowModelSelector] = useState(false);
|
||||
const [showUploadImage, setShowUploadImage] = useState(false);
|
||||
|
||||
useEffect(() => {
|
||||
const show = isVisionModel(currentModel);
|
||||
setShowUploadImage(show);
|
||||
if (!show) {
|
||||
props.setAttachImages([]);
|
||||
props.setUploading(false);
|
||||
}
|
||||
|
||||
// if current model is not available
|
||||
// switch to first available model
|
||||
const isUnavaliableModel = !models.some((m) => m.name === currentModel);
|
||||
if (isUnavaliableModel && models.length > 0) {
|
||||
const nextModel = models[0].name as ModelType;
|
||||
chatStore.updateCurrentSession(
|
||||
(session) => (session.mask.modelConfig.model = nextModel),
|
||||
// show next model to default model if exist
|
||||
let nextModel = models.find((model) => model.isDefault) || models[0];
|
||||
chatStore.updateCurrentSession((session) => {
|
||||
session.mask.modelConfig.model = nextModel.name;
|
||||
session.mask.modelConfig.providerName = nextModel?.provider
|
||||
?.providerName as ServiceProvider;
|
||||
});
|
||||
showToast(
|
||||
nextModel?.provider?.providerName == "ByteDance"
|
||||
? nextModel.displayName
|
||||
: nextModel.name,
|
||||
);
|
||||
showToast(nextModel);
|
||||
}
|
||||
}, [chatStore, currentModel, models]);
|
||||
|
||||
@@ -475,6 +529,13 @@ export function ChatActions(props: {
|
||||
/>
|
||||
)}
|
||||
|
||||
{showUploadImage && (
|
||||
<ChatAction
|
||||
onClick={props.uploadImage}
|
||||
text={Locale.Chat.InputActions.UploadImage}
|
||||
icon={props.uploading ? <LoadingButtonIcon /> : <ImageIcon />}
|
||||
/>
|
||||
)}
|
||||
<ChatAction
|
||||
onClick={nextTheme}
|
||||
text={Locale.Chat.InputActions.Theme[theme]}
|
||||
@@ -522,25 +583,40 @@ export function ChatActions(props: {
|
||||
|
||||
<ChatAction
|
||||
onClick={() => setShowModelSelector(true)}
|
||||
text={currentModel}
|
||||
text={currentModelName}
|
||||
icon={<RobotIcon />}
|
||||
/>
|
||||
|
||||
{showModelSelector && (
|
||||
<Selector
|
||||
defaultSelectedValue={currentModel}
|
||||
defaultSelectedValue={`${currentModel}@${currentProviderName}`}
|
||||
items={models.map((m) => ({
|
||||
title: m.displayName,
|
||||
value: m.name,
|
||||
title: `${m.displayName}${
|
||||
m?.provider?.providerName
|
||||
? "(" + m?.provider?.providerName + ")"
|
||||
: ""
|
||||
}`,
|
||||
value: `${m.name}@${m?.provider?.providerName}`,
|
||||
}))}
|
||||
onClose={() => setShowModelSelector(false)}
|
||||
onSelection={(s) => {
|
||||
if (s.length === 0) return;
|
||||
const [model, providerName] = s[0].split("@");
|
||||
chatStore.updateCurrentSession((session) => {
|
||||
session.mask.modelConfig.model = s[0] as ModelType;
|
||||
session.mask.modelConfig.model = model as ModelType;
|
||||
session.mask.modelConfig.providerName =
|
||||
providerName as ServiceProvider;
|
||||
session.mask.syncGlobalConfig = false;
|
||||
});
|
||||
showToast(s[0]);
|
||||
if (providerName == "ByteDance") {
|
||||
const selectedModel = models.find(
|
||||
(m) =>
|
||||
m.name == model && m?.provider?.providerName == providerName,
|
||||
);
|
||||
showToast(selectedModel?.displayName ?? "");
|
||||
} else {
|
||||
showToast(model);
|
||||
}
|
||||
}}
|
||||
/>
|
||||
)}
|
||||
@@ -610,6 +686,14 @@ export function EditMessageModal(props: { onClose: () => void }) {
|
||||
);
|
||||
}
|
||||
|
||||
export function DeleteImageButton(props: { deleteImage: () => void }) {
|
||||
return (
|
||||
<div className={styles["delete-image"]} onClick={props.deleteImage}>
|
||||
<DeleteIcon />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
function _Chat() {
|
||||
type RenderMessage = ChatMessage & { preview?: boolean };
|
||||
|
||||
@@ -624,14 +708,26 @@ function _Chat() {
|
||||
const [userInput, setUserInput] = useState("");
|
||||
const [isLoading, setIsLoading] = useState(false);
|
||||
const { submitKey, shouldSubmit } = useSubmitHandler();
|
||||
const { scrollRef, setAutoScroll, scrollDomToBottom } = useScrollToBottom();
|
||||
const scrollRef = useRef<HTMLDivElement>(null);
|
||||
const isScrolledToBottom = scrollRef?.current
|
||||
? Math.abs(
|
||||
scrollRef.current.scrollHeight -
|
||||
(scrollRef.current.scrollTop + scrollRef.current.clientHeight),
|
||||
) <= 1
|
||||
: false;
|
||||
const { setAutoScroll, scrollDomToBottom } = useScrollToBottom(
|
||||
scrollRef,
|
||||
isScrolledToBottom,
|
||||
);
|
||||
const [hitBottom, setHitBottom] = useState(true);
|
||||
const isMobileScreen = useMobileScreen();
|
||||
const navigate = useNavigate();
|
||||
const [attachImages, setAttachImages] = useState<string[]>([]);
|
||||
const [uploading, setUploading] = useState(false);
|
||||
|
||||
// prompt hints
|
||||
const promptStore = usePromptStore();
|
||||
const [promptHints, setPromptHints] = useState<RenderPompt[]>([]);
|
||||
const [promptHints, setPromptHints] = useState<RenderPrompt[]>([]);
|
||||
const onSearch = useDebouncedCallback(
|
||||
(text: string) => {
|
||||
const matchedPrompts = promptStore.search(text);
|
||||
@@ -705,7 +801,10 @@ function _Chat() {
|
||||
return;
|
||||
}
|
||||
setIsLoading(true);
|
||||
chatStore.onUserInput(userInput).then(() => setIsLoading(false));
|
||||
chatStore
|
||||
.onUserInput(userInput, attachImages)
|
||||
.then(() => setIsLoading(false));
|
||||
setAttachImages([]);
|
||||
localStorage.setItem(LAST_INPUT_KEY, userInput);
|
||||
setUserInput("");
|
||||
setPromptHints([]);
|
||||
@@ -713,7 +812,7 @@ function _Chat() {
|
||||
setAutoScroll(true);
|
||||
};
|
||||
|
||||
const onPromptSelect = (prompt: RenderPompt) => {
|
||||
const onPromptSelect = (prompt: RenderPrompt) => {
|
||||
setTimeout(() => {
|
||||
setPromptHints([]);
|
||||
|
||||
@@ -783,9 +882,9 @@ function _Chat() {
|
||||
};
|
||||
const onRightClick = (e: any, message: ChatMessage) => {
|
||||
// copy to clipboard
|
||||
if (selectOrCopy(e.currentTarget, message.content)) {
|
||||
if (selectOrCopy(e.currentTarget, getMessageTextContent(message))) {
|
||||
if (userInput.length === 0) {
|
||||
setUserInput(message.content);
|
||||
setUserInput(getMessageTextContent(message));
|
||||
}
|
||||
|
||||
e.preventDefault();
|
||||
@@ -853,7 +952,9 @@ function _Chat() {
|
||||
|
||||
// resend the message
|
||||
setIsLoading(true);
|
||||
chatStore.onUserInput(userMessage.content).then(() => setIsLoading(false));
|
||||
const textContent = getMessageTextContent(userMessage);
|
||||
const images = getMessageImages(userMessage);
|
||||
chatStore.onUserInput(textContent, images).then(() => setIsLoading(false));
|
||||
inputRef.current?.focus();
|
||||
};
|
||||
|
||||
@@ -962,7 +1063,6 @@ function _Chat() {
|
||||
setHitBottom(isHitBottom);
|
||||
setAutoScroll(isHitBottom);
|
||||
};
|
||||
|
||||
function scrollToBottom() {
|
||||
setMsgRenderIndex(renderMessages.length - CHAT_PAGE_SIZE);
|
||||
scrollDomToBottom();
|
||||
@@ -1020,6 +1120,7 @@ function _Chat() {
|
||||
if (payload.url) {
|
||||
accessStore.update((access) => (access.openaiUrl = payload.url!));
|
||||
}
|
||||
accessStore.update((access) => (access.useCustomConfig = true));
|
||||
});
|
||||
}
|
||||
} catch {
|
||||
@@ -1048,6 +1149,94 @@ function _Chat() {
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, []);
|
||||
|
||||
const handlePaste = useCallback(
|
||||
async (event: React.ClipboardEvent<HTMLTextAreaElement>) => {
|
||||
const currentModel = chatStore.currentSession().mask.modelConfig.model;
|
||||
if (!isVisionModel(currentModel)) {
|
||||
return;
|
||||
}
|
||||
const items = (event.clipboardData || window.clipboardData).items;
|
||||
for (const item of items) {
|
||||
if (item.kind === "file" && item.type.startsWith("image/")) {
|
||||
event.preventDefault();
|
||||
const file = item.getAsFile();
|
||||
if (file) {
|
||||
const images: string[] = [];
|
||||
images.push(...attachImages);
|
||||
images.push(
|
||||
...(await new Promise<string[]>((res, rej) => {
|
||||
setUploading(true);
|
||||
const imagesData: string[] = [];
|
||||
uploadImageRemote(file)
|
||||
.then((dataUrl) => {
|
||||
imagesData.push(dataUrl);
|
||||
setUploading(false);
|
||||
res(imagesData);
|
||||
})
|
||||
.catch((e) => {
|
||||
setUploading(false);
|
||||
rej(e);
|
||||
});
|
||||
})),
|
||||
);
|
||||
const imagesLength = images.length;
|
||||
|
||||
if (imagesLength > 3) {
|
||||
images.splice(3, imagesLength - 3);
|
||||
}
|
||||
setAttachImages(images);
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
[attachImages, chatStore],
|
||||
);
|
||||
|
||||
async function uploadImage() {
|
||||
const images: string[] = [];
|
||||
images.push(...attachImages);
|
||||
|
||||
images.push(
|
||||
...(await new Promise<string[]>((res, rej) => {
|
||||
const fileInput = document.createElement("input");
|
||||
fileInput.type = "file";
|
||||
fileInput.accept =
|
||||
"image/png, image/jpeg, image/webp, image/heic, image/heif";
|
||||
fileInput.multiple = true;
|
||||
fileInput.onchange = (event: any) => {
|
||||
setUploading(true);
|
||||
const files = event.target.files;
|
||||
const imagesData: string[] = [];
|
||||
for (let i = 0; i < files.length; i++) {
|
||||
const file = event.target.files[i];
|
||||
uploadImageRemote(file)
|
||||
.then((dataUrl) => {
|
||||
imagesData.push(dataUrl);
|
||||
if (
|
||||
imagesData.length === 3 ||
|
||||
imagesData.length === files.length
|
||||
) {
|
||||
setUploading(false);
|
||||
res(imagesData);
|
||||
}
|
||||
})
|
||||
.catch((e) => {
|
||||
setUploading(false);
|
||||
rej(e);
|
||||
});
|
||||
}
|
||||
};
|
||||
fileInput.click();
|
||||
})),
|
||||
);
|
||||
|
||||
const imagesLength = images.length;
|
||||
if (imagesLength > 3) {
|
||||
images.splice(3, imagesLength - 3);
|
||||
}
|
||||
setAttachImages(images);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className={styles.chat} key={session.id}>
|
||||
<div className="window-header" data-tauri-drag-region>
|
||||
@@ -1154,15 +1343,29 @@ function _Chat() {
|
||||
onClick={async () => {
|
||||
const newMessage = await showPrompt(
|
||||
Locale.Chat.Actions.Edit,
|
||||
message.content,
|
||||
getMessageTextContent(message),
|
||||
10,
|
||||
);
|
||||
let newContent: string | MultimodalContent[] =
|
||||
newMessage;
|
||||
const images = getMessageImages(message);
|
||||
if (images.length > 0) {
|
||||
newContent = [{ type: "text", text: newMessage }];
|
||||
for (let i = 0; i < images.length; i++) {
|
||||
newContent.push({
|
||||
type: "image_url",
|
||||
image_url: {
|
||||
url: images[i],
|
||||
},
|
||||
});
|
||||
}
|
||||
}
|
||||
chatStore.updateCurrentSession((session) => {
|
||||
const m = session.mask.context
|
||||
.concat(session.messages)
|
||||
.find((m) => m.id === message.id);
|
||||
if (m) {
|
||||
m.content = newMessage;
|
||||
m.content = newContent;
|
||||
}
|
||||
});
|
||||
}}
|
||||
@@ -1217,7 +1420,11 @@ function _Chat() {
|
||||
<ChatAction
|
||||
text={Locale.Chat.Actions.Copy}
|
||||
icon={<CopyIcon />}
|
||||
onClick={() => copyToClipboard(message.content)}
|
||||
onClick={() =>
|
||||
copyToClipboard(
|
||||
getMessageTextContent(message),
|
||||
)
|
||||
}
|
||||
/>
|
||||
</>
|
||||
)}
|
||||
@@ -1232,7 +1439,7 @@ function _Chat() {
|
||||
)}
|
||||
<div className={styles["chat-message-item"]}>
|
||||
<Markdown
|
||||
content={message.content}
|
||||
content={getMessageTextContent(message)}
|
||||
loading={
|
||||
(message.preview || message.streaming) &&
|
||||
message.content.length === 0 &&
|
||||
@@ -1241,12 +1448,42 @@ function _Chat() {
|
||||
onContextMenu={(e) => onRightClick(e, message)}
|
||||
onDoubleClickCapture={() => {
|
||||
if (!isMobileScreen) return;
|
||||
setUserInput(message.content);
|
||||
setUserInput(getMessageTextContent(message));
|
||||
}}
|
||||
fontSize={fontSize}
|
||||
parentRef={scrollRef}
|
||||
defaultShow={i >= messages.length - 6}
|
||||
/>
|
||||
{getMessageImages(message).length == 1 && (
|
||||
<img
|
||||
className={styles["chat-message-item-image"]}
|
||||
src={getMessageImages(message)[0]}
|
||||
alt=""
|
||||
/>
|
||||
)}
|
||||
{getMessageImages(message).length > 1 && (
|
||||
<div
|
||||
className={styles["chat-message-item-images"]}
|
||||
style={
|
||||
{
|
||||
"--image-count": getMessageImages(message).length,
|
||||
} as React.CSSProperties
|
||||
}
|
||||
>
|
||||
{getMessageImages(message).map((image, index) => {
|
||||
return (
|
||||
<img
|
||||
className={
|
||||
styles["chat-message-item-image-multi"]
|
||||
}
|
||||
key={index}
|
||||
src={image}
|
||||
alt=""
|
||||
/>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
|
||||
<div className={styles["chat-message-action-date"]}>
|
||||
@@ -1266,9 +1503,13 @@ function _Chat() {
|
||||
<PromptHints prompts={promptHints} onPromptSelect={onPromptSelect} />
|
||||
|
||||
<ChatActions
|
||||
uploadImage={uploadImage}
|
||||
setAttachImages={setAttachImages}
|
||||
setUploading={setUploading}
|
||||
showPromptModal={() => setShowPromptModal(true)}
|
||||
scrollToBottom={scrollToBottom}
|
||||
hitBottom={hitBottom}
|
||||
uploading={uploading}
|
||||
showPromptHints={() => {
|
||||
// Click again to close
|
||||
if (promptHints.length > 0) {
|
||||
@@ -1281,8 +1522,16 @@ function _Chat() {
|
||||
onSearch("");
|
||||
}}
|
||||
/>
|
||||
<div className={styles["chat-input-panel-inner"]}>
|
||||
<label
|
||||
className={`${styles["chat-input-panel-inner"]} ${
|
||||
attachImages.length != 0
|
||||
? styles["chat-input-panel-inner-attach"]
|
||||
: ""
|
||||
}`}
|
||||
htmlFor="chat-input"
|
||||
>
|
||||
<textarea
|
||||
id="chat-input"
|
||||
ref={inputRef}
|
||||
className={styles["chat-input"]}
|
||||
placeholder={Locale.Chat.Input(submitKey)}
|
||||
@@ -1291,12 +1540,36 @@ function _Chat() {
|
||||
onKeyDown={onInputKeyDown}
|
||||
onFocus={scrollToBottom}
|
||||
onClick={scrollToBottom}
|
||||
onPaste={handlePaste}
|
||||
rows={inputRows}
|
||||
autoFocus={autoFocus}
|
||||
style={{
|
||||
fontSize: config.fontSize,
|
||||
}}
|
||||
/>
|
||||
{attachImages.length != 0 && (
|
||||
<div className={styles["attach-images"]}>
|
||||
{attachImages.map((image, index) => {
|
||||
return (
|
||||
<div
|
||||
key={index}
|
||||
className={styles["attach-image"]}
|
||||
style={{ backgroundImage: `url("${image}")` }}
|
||||
>
|
||||
<div className={styles["attach-image-mask"]}>
|
||||
<DeleteImageButton
|
||||
deleteImage={() => {
|
||||
setAttachImages(
|
||||
attachImages.filter((_, i) => i !== index),
|
||||
);
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
)}
|
||||
<IconButton
|
||||
icon={<SendWhiteIcon />}
|
||||
text={Locale.Chat.Send}
|
||||
@@ -1304,7 +1577,7 @@ function _Chat() {
|
||||
type="primary"
|
||||
onClick={() => doSubmit(userInput)}
|
||||
/>
|
||||
</div>
|
||||
</label>
|
||||
</div>
|
||||
|
||||
{showExport && (
|
||||
|
@@ -13,7 +13,7 @@ export function getEmojiUrl(unified: string, style: EmojiStyle) {
|
||||
// Whoever owns this Content Delivery Network (CDN), I am using your CDN to serve emojis
|
||||
// Old CDN broken, so I had to switch to this one
|
||||
// Author: https://github.com/H0llyW00dzZ
|
||||
return `https://cdn.jsdelivr.net/npm/emoji-datasource-apple/img/${style}/64/${unified}.png`;
|
||||
return `https://fastly.jsdelivr.net/npm/emoji-datasource-apple/img/${style}/64/${unified}.png`;
|
||||
}
|
||||
|
||||
export function AvatarPicker(props: {
|
||||
@@ -21,6 +21,7 @@ export function AvatarPicker(props: {
|
||||
}) {
|
||||
return (
|
||||
<EmojiPicker
|
||||
width={"100%"}
|
||||
lazyLoadEmojis
|
||||
theme={EmojiTheme.AUTO}
|
||||
getEmojiUrl={getEmojiUrl}
|
||||
|
@@ -94,6 +94,7 @@
|
||||
|
||||
button {
|
||||
flex-grow: 1;
|
||||
|
||||
&:not(:last-child) {
|
||||
margin-right: 10px;
|
||||
}
|
||||
@@ -190,6 +191,59 @@
|
||||
pre {
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.message-image {
|
||||
width: 100%;
|
||||
margin-top: 10px;
|
||||
}
|
||||
|
||||
.message-images {
|
||||
display: grid;
|
||||
justify-content: left;
|
||||
grid-gap: 10px;
|
||||
grid-template-columns: repeat(var(--image-count), auto);
|
||||
margin-top: 10px;
|
||||
}
|
||||
|
||||
@media screen and (max-width: 600px) {
|
||||
$image-width: calc(calc(100vw/2)/var(--image-count));
|
||||
|
||||
.message-image-multi {
|
||||
width: $image-width;
|
||||
height: $image-width;
|
||||
}
|
||||
|
||||
.message-image {
|
||||
max-width: calc(100vw/3*2);
|
||||
}
|
||||
}
|
||||
|
||||
@media screen and (min-width: 600px) {
|
||||
$max-image-width: calc(900px/3*2/var(--image-count));
|
||||
$image-width: calc(80vw/3*2/var(--image-count));
|
||||
|
||||
.message-image-multi {
|
||||
width: $image-width;
|
||||
height: $image-width;
|
||||
max-width: $max-image-width;
|
||||
max-height: $max-image-width;
|
||||
}
|
||||
|
||||
.message-image {
|
||||
max-width: calc(100vw/3*2);
|
||||
}
|
||||
}
|
||||
|
||||
.message-image-multi {
|
||||
object-fit: cover;
|
||||
}
|
||||
|
||||
.message-image,
|
||||
.message-image-multi {
|
||||
box-sizing: border-box;
|
||||
border-radius: 10px;
|
||||
border: rgba($color: #888, $alpha: 0.2) 1px solid;
|
||||
}
|
||||
}
|
||||
|
||||
&-assistant {
|
||||
@@ -213,6 +267,5 @@
|
||||
}
|
||||
}
|
||||
|
||||
.default-theme {
|
||||
}
|
||||
}
|
||||
.default-theme {}
|
||||
}
|
@@ -12,7 +12,12 @@ import {
|
||||
showToast,
|
||||
} from "./ui-lib";
|
||||
import { IconButton } from "./button";
|
||||
import { copyToClipboard, downloadAs, useMobileScreen } from "../utils";
|
||||
import {
|
||||
copyToClipboard,
|
||||
downloadAs,
|
||||
getMessageImages,
|
||||
useMobileScreen,
|
||||
} from "../utils";
|
||||
|
||||
import CopyIcon from "../icons/copy.svg";
|
||||
import LoadingIcon from "../icons/three-dots.svg";
|
||||
@@ -31,9 +36,10 @@ import { toBlob, toPng } from "html-to-image";
|
||||
import { DEFAULT_MASK_AVATAR } from "../store/mask";
|
||||
|
||||
import { prettyObject } from "../utils/format";
|
||||
import { EXPORT_MESSAGE_CLASS_NAME, ModelProvider } from "../constant";
|
||||
import { EXPORT_MESSAGE_CLASS_NAME } from "../constant";
|
||||
import { getClientConfig } from "../config/client";
|
||||
import { ClientApi } from "../client/api";
|
||||
import { type ClientApi, getClientApi } from "../client/api";
|
||||
import { getMessageTextContent } from "../utils";
|
||||
|
||||
const Markdown = dynamic(async () => (await import("./markdown")).Markdown, {
|
||||
loading: () => <LoadingIcon />,
|
||||
@@ -287,7 +293,7 @@ export function RenderExport(props: {
|
||||
id={`${m.role}:${i}`}
|
||||
className={EXPORT_MESSAGE_CLASS_NAME}
|
||||
>
|
||||
<Markdown content={m.content} defaultShow />
|
||||
<Markdown content={getMessageTextContent(m)} defaultShow />
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
@@ -306,12 +312,7 @@ export function PreviewActions(props: {
|
||||
const onRenderMsgs = (msgs: ChatMessage[]) => {
|
||||
setShouldExport(false);
|
||||
|
||||
var api: ClientApi;
|
||||
if (config.modelConfig.model === "gemini-pro") {
|
||||
api = new ClientApi(ModelProvider.GeminiPro);
|
||||
} else {
|
||||
api = new ClientApi(ModelProvider.GPT);
|
||||
}
|
||||
const api: ClientApi = getClientApi(config.modelConfig.providerName);
|
||||
|
||||
api
|
||||
.share(msgs)
|
||||
@@ -580,10 +581,37 @@ export function ImagePreviewer(props: {
|
||||
|
||||
<div className={styles["body"]}>
|
||||
<Markdown
|
||||
content={m.content}
|
||||
content={getMessageTextContent(m)}
|
||||
fontSize={config.fontSize}
|
||||
defaultShow
|
||||
/>
|
||||
{getMessageImages(m).length == 1 && (
|
||||
<img
|
||||
key={i}
|
||||
src={getMessageImages(m)[0]}
|
||||
alt="message"
|
||||
className={styles["message-image"]}
|
||||
/>
|
||||
)}
|
||||
{getMessageImages(m).length > 1 && (
|
||||
<div
|
||||
className={styles["message-images"]}
|
||||
style={
|
||||
{
|
||||
"--image-count": getMessageImages(m).length,
|
||||
} as React.CSSProperties
|
||||
}
|
||||
>
|
||||
{getMessageImages(m).map((src, i) => (
|
||||
<img
|
||||
key={i}
|
||||
src={src}
|
||||
alt="message"
|
||||
className={styles["message-image-multi"]}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
@@ -602,8 +630,10 @@ export function MarkdownPreviewer(props: {
|
||||
props.messages
|
||||
.map((m) => {
|
||||
return m.role === "user"
|
||||
? `## ${Locale.Export.MessageFromYou}:\n${m.content}`
|
||||
: `## ${Locale.Export.MessageFromChatGPT}:\n${m.content.trim()}`;
|
||||
? `## ${Locale.Export.MessageFromYou}:\n${getMessageTextContent(m)}`
|
||||
: `## ${Locale.Export.MessageFromChatGPT}:\n${getMessageTextContent(
|
||||
m,
|
||||
).trim()}`;
|
||||
})
|
||||
.join("\n\n");
|
||||
|
||||
|
@@ -12,7 +12,7 @@ import LoadingIcon from "../icons/three-dots.svg";
|
||||
import { getCSSVar, useMobileScreen } from "../utils";
|
||||
|
||||
import dynamic from "next/dynamic";
|
||||
import { ModelProvider, Path, SlotID } from "../constant";
|
||||
import { Path, SlotID } from "../constant";
|
||||
import { ErrorBoundary } from "./error";
|
||||
|
||||
import { getISOLang, getLang } from "../locales";
|
||||
@@ -27,7 +27,7 @@ import { SideBar } from "./sidebar";
|
||||
import { useAppConfig } from "../store/config";
|
||||
import { AuthPage } from "./auth";
|
||||
import { getClientConfig } from "../config/client";
|
||||
import { ClientApi } from "../client/api";
|
||||
import { type ClientApi, getClientApi } from "../client/api";
|
||||
import { useAccessStore } from "../store";
|
||||
|
||||
export function Loading(props: { noLogo?: boolean }) {
|
||||
@@ -170,12 +170,8 @@ function Screen() {
|
||||
export function useLoadData() {
|
||||
const config = useAppConfig();
|
||||
|
||||
var api: ClientApi;
|
||||
if (config.modelConfig.model === "gemini-pro") {
|
||||
api = new ClientApi(ModelProvider.GeminiPro);
|
||||
} else {
|
||||
api = new ClientApi(ModelProvider.GPT);
|
||||
}
|
||||
const api: ClientApi = getClientApi(config.modelConfig.providerName);
|
||||
|
||||
useEffect(() => {
|
||||
(async () => {
|
||||
const models = await api.llm.models();
|
||||
|
@@ -116,11 +116,28 @@ function escapeDollarNumber(text: string) {
|
||||
return escapedText;
|
||||
}
|
||||
|
||||
function _MarkDownContent(props: { content: string }) {
|
||||
const escapedContent = useMemo(
|
||||
() => escapeDollarNumber(props.content),
|
||||
[props.content],
|
||||
function escapeBrackets(text: string) {
|
||||
const pattern =
|
||||
/(```[\s\S]*?```|`.*?`)|\\\[([\s\S]*?[^\\])\\\]|\\\((.*?)\\\)/g;
|
||||
return text.replace(
|
||||
pattern,
|
||||
(match, codeBlock, squareBracket, roundBracket) => {
|
||||
if (codeBlock) {
|
||||
return codeBlock;
|
||||
} else if (squareBracket) {
|
||||
return `$$${squareBracket}$$`;
|
||||
} else if (roundBracket) {
|
||||
return `$${roundBracket}$`;
|
||||
}
|
||||
return match;
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
function _MarkDownContent(props: { content: string }) {
|
||||
const escapedContent = useMemo(() => {
|
||||
return escapeBrackets(escapeDollarNumber(props.content));
|
||||
}, [props.content]);
|
||||
|
||||
return (
|
||||
<ReactMarkdown
|
||||
|
@@ -22,7 +22,7 @@ import {
|
||||
useAppConfig,
|
||||
useChatStore,
|
||||
} from "../store";
|
||||
import { ROLES } from "../client/api";
|
||||
import { MultimodalContent, ROLES } from "../client/api";
|
||||
import {
|
||||
Input,
|
||||
List,
|
||||
@@ -38,7 +38,12 @@ import { useNavigate } from "react-router-dom";
|
||||
|
||||
import chatStyle from "./chat.module.scss";
|
||||
import { useEffect, useState } from "react";
|
||||
import { copyToClipboard, downloadAs, readFromFile } from "../utils";
|
||||
import {
|
||||
copyToClipboard,
|
||||
downloadAs,
|
||||
getMessageImages,
|
||||
readFromFile,
|
||||
} from "../utils";
|
||||
import { Updater } from "../typing";
|
||||
import { ModelConfigList } from "./model-config";
|
||||
import { FileName, Path } from "../constant";
|
||||
@@ -50,6 +55,7 @@ import {
|
||||
Draggable,
|
||||
OnDragEndResponder,
|
||||
} from "@hello-pangea/dnd";
|
||||
import { getMessageTextContent } from "../utils";
|
||||
|
||||
// drag and drop helper function
|
||||
function reorder<T>(list: T[], startIndex: number, endIndex: number): T[] {
|
||||
@@ -244,7 +250,7 @@ function ContextPromptItem(props: {
|
||||
</>
|
||||
)}
|
||||
<Input
|
||||
value={props.prompt.content}
|
||||
value={getMessageTextContent(props.prompt)}
|
||||
type="text"
|
||||
className={chatStyle["context-content"]}
|
||||
rows={focusingInput ? 5 : 1}
|
||||
@@ -289,7 +295,18 @@ export function ContextPrompts(props: {
|
||||
};
|
||||
|
||||
const updateContextPrompt = (i: number, prompt: ChatMessage) => {
|
||||
props.updateContext((context) => (context[i] = prompt));
|
||||
props.updateContext((context) => {
|
||||
const images = getMessageImages(context[i]);
|
||||
context[i] = prompt;
|
||||
if (images.length > 0) {
|
||||
const text = getMessageTextContent(context[i]);
|
||||
const newContext: MultimodalContent[] = [{ type: "text", text }];
|
||||
for (const img of images) {
|
||||
newContext.push({ type: "image_url", image_url: { url: img } });
|
||||
}
|
||||
context[i].content = newContext;
|
||||
}
|
||||
});
|
||||
};
|
||||
|
||||
const onDragEnd: OnDragEndResponder = (result) => {
|
||||
@@ -387,7 +404,16 @@ export function MaskPage() {
|
||||
const maskStore = useMaskStore();
|
||||
const chatStore = useChatStore();
|
||||
|
||||
const [filterLang, setFilterLang] = useState<Lang>();
|
||||
const [filterLang, setFilterLang] = useState<Lang | undefined>(
|
||||
() => localStorage.getItem("Mask-language") as Lang | undefined,
|
||||
);
|
||||
useEffect(() => {
|
||||
if (filterLang) {
|
||||
localStorage.setItem("Mask-language", filterLang);
|
||||
} else {
|
||||
localStorage.removeItem("Mask-language");
|
||||
}
|
||||
}, [filterLang]);
|
||||
|
||||
const allMasks = maskStore
|
||||
.getAll()
|
||||
|
@@ -7,6 +7,7 @@ import { MaskAvatar } from "./mask";
|
||||
import Locale from "../locales";
|
||||
|
||||
import styles from "./message-selector.module.scss";
|
||||
import { getMessageTextContent } from "../utils";
|
||||
|
||||
function useShiftRange() {
|
||||
const [startIndex, setStartIndex] = useState<number>();
|
||||
@@ -103,7 +104,9 @@ export function MessageSelector(props: {
|
||||
const searchResults = new Set<string>();
|
||||
if (text.length > 0) {
|
||||
messages.forEach((m) =>
|
||||
m.content.includes(text) ? searchResults.add(m.id!) : null,
|
||||
getMessageTextContent(m).includes(text)
|
||||
? searchResults.add(m.id!)
|
||||
: null,
|
||||
);
|
||||
}
|
||||
setSearchIds(searchResults);
|
||||
@@ -219,12 +222,12 @@ export function MessageSelector(props: {
|
||||
{new Date(m.date).toLocaleString()}
|
||||
</div>
|
||||
<div className={`${styles["content"]} one-line`}>
|
||||
{m.content}
|
||||
{getMessageTextContent(m)}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className={styles["checkbox"]}>
|
||||
<input type="checkbox" checked={isSelected}></input>
|
||||
<input type="checkbox" checked={isSelected} readOnly></input>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
|
@@ -1,3 +1,4 @@
|
||||
import { ServiceProvider } from "@/app/constant";
|
||||
import { ModalConfigValidator, ModelConfig } from "../store";
|
||||
|
||||
import Locale from "../locales";
|
||||
@@ -10,25 +11,25 @@ export function ModelConfigList(props: {
|
||||
updateConfig: (updater: (config: ModelConfig) => void) => void;
|
||||
}) {
|
||||
const allModels = useAllModels();
|
||||
const value = `${props.modelConfig.model}@${props.modelConfig?.providerName}`;
|
||||
|
||||
return (
|
||||
<>
|
||||
<ListItem title={Locale.Settings.Model}>
|
||||
<Select
|
||||
value={props.modelConfig.model}
|
||||
value={value}
|
||||
onChange={(e) => {
|
||||
props.updateConfig(
|
||||
(config) =>
|
||||
(config.model = ModalConfigValidator.model(
|
||||
e.currentTarget.value,
|
||||
)),
|
||||
);
|
||||
const [model, providerName] = e.currentTarget.value.split("@");
|
||||
props.updateConfig((config) => {
|
||||
config.model = ModalConfigValidator.model(model);
|
||||
config.providerName = providerName as ServiceProvider;
|
||||
});
|
||||
}}
|
||||
>
|
||||
{allModels
|
||||
.filter((v) => v.available)
|
||||
.map((v, i) => (
|
||||
<option value={v.name} key={i}>
|
||||
<option value={`${v.name}@${v.provider?.providerName}`} key={i}>
|
||||
{v.displayName}({v.provider?.providerName})
|
||||
</option>
|
||||
))}
|
||||
@@ -92,7 +93,7 @@ export function ModelConfigList(props: {
|
||||
></input>
|
||||
</ListItem>
|
||||
|
||||
{props.modelConfig.model === "gemini-pro" ? null : (
|
||||
{props.modelConfig?.providerName == ServiceProvider.Google ? null : (
|
||||
<>
|
||||
<ListItem
|
||||
title={Locale.Settings.PresencePenalty.Title}
|
||||
|
@@ -5,6 +5,8 @@
|
||||
|
||||
.avatar {
|
||||
cursor: pointer;
|
||||
position: relative;
|
||||
z-index: 1;
|
||||
}
|
||||
|
||||
.edit-prompt-modal {
|
||||
|
@@ -51,7 +51,11 @@ import Locale, {
|
||||
import { copyToClipboard } from "../utils";
|
||||
import Link from "next/link";
|
||||
import {
|
||||
Anthropic,
|
||||
Azure,
|
||||
Baidu,
|
||||
ByteDance,
|
||||
Alibaba,
|
||||
Google,
|
||||
OPENAI_BASE_URL,
|
||||
Path,
|
||||
@@ -268,7 +272,7 @@ function CheckButton() {
|
||||
const syncStore = useSyncStore();
|
||||
|
||||
const couldCheck = useMemo(() => {
|
||||
return syncStore.coundSync();
|
||||
return syncStore.cloudSync();
|
||||
}, [syncStore]);
|
||||
|
||||
const [checkState, setCheckState] = useState<
|
||||
@@ -472,7 +476,7 @@ function SyncItems() {
|
||||
const promptStore = usePromptStore();
|
||||
const maskStore = useMaskStore();
|
||||
const couldSync = useMemo(() => {
|
||||
return syncStore.coundSync();
|
||||
return syncStore.cloudSync();
|
||||
}, [syncStore]);
|
||||
|
||||
const [showSyncConfigModal, setShowSyncConfigModal] = useState(false);
|
||||
@@ -693,7 +697,9 @@ export function Settings() {
|
||||
>
|
||||
<div
|
||||
className={styles.avatar}
|
||||
onClick={() => setShowEmojiPicker(true)}
|
||||
onClick={() => {
|
||||
setShowEmojiPicker(!showEmojiPicker);
|
||||
}}
|
||||
>
|
||||
<Avatar avatar={config.avatar} />
|
||||
</div>
|
||||
@@ -961,7 +967,7 @@ export function Settings() {
|
||||
</Select>
|
||||
</ListItem>
|
||||
|
||||
{accessStore.provider === "OpenAI" ? (
|
||||
{accessStore.provider === ServiceProvider.OpenAI && (
|
||||
<>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.OpenAI.Endpoint.Title}
|
||||
@@ -1000,7 +1006,8 @@ export function Settings() {
|
||||
/>
|
||||
</ListItem>
|
||||
</>
|
||||
) : accessStore.provider === "Azure" ? (
|
||||
)}
|
||||
{accessStore.provider === ServiceProvider.Azure && (
|
||||
<>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Azure.Endpoint.Title}
|
||||
@@ -1059,7 +1066,8 @@ export function Settings() {
|
||||
></input>
|
||||
</ListItem>
|
||||
</>
|
||||
) : accessStore.provider === "Google" ? (
|
||||
)}
|
||||
{accessStore.provider === ServiceProvider.Google && (
|
||||
<>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Google.Endpoint.Title}
|
||||
@@ -1081,8 +1089,8 @@ export function Settings() {
|
||||
></input>
|
||||
</ListItem>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Azure.ApiKey.Title}
|
||||
subTitle={Locale.Settings.Access.Azure.ApiKey.SubTitle}
|
||||
title={Locale.Settings.Access.Google.ApiKey.Title}
|
||||
subTitle={Locale.Settings.Access.Google.ApiKey.SubTitle}
|
||||
>
|
||||
<PasswordInput
|
||||
value={accessStore.googleApiKey}
|
||||
@@ -1099,9 +1107,9 @@ export function Settings() {
|
||||
/>
|
||||
</ListItem>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Google.ApiVerion.Title}
|
||||
title={Locale.Settings.Access.Google.ApiVersion.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.Google.ApiVerion.SubTitle
|
||||
Locale.Settings.Access.Google.ApiVersion.SubTitle
|
||||
}
|
||||
>
|
||||
<input
|
||||
@@ -1118,7 +1126,219 @@ export function Settings() {
|
||||
></input>
|
||||
</ListItem>
|
||||
</>
|
||||
) : null}
|
||||
)}
|
||||
{accessStore.provider === ServiceProvider.Anthropic && (
|
||||
<>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Anthropic.Endpoint.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.Anthropic.Endpoint.SubTitle +
|
||||
Anthropic.ExampleEndpoint
|
||||
}
|
||||
>
|
||||
<input
|
||||
type="text"
|
||||
value={accessStore.anthropicUrl}
|
||||
placeholder={Anthropic.ExampleEndpoint}
|
||||
onChange={(e) =>
|
||||
accessStore.update(
|
||||
(access) =>
|
||||
(access.anthropicUrl = e.currentTarget.value),
|
||||
)
|
||||
}
|
||||
></input>
|
||||
</ListItem>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Anthropic.ApiKey.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.Anthropic.ApiKey.SubTitle
|
||||
}
|
||||
>
|
||||
<PasswordInput
|
||||
value={accessStore.anthropicApiKey}
|
||||
type="text"
|
||||
placeholder={
|
||||
Locale.Settings.Access.Anthropic.ApiKey.Placeholder
|
||||
}
|
||||
onChange={(e) => {
|
||||
accessStore.update(
|
||||
(access) =>
|
||||
(access.anthropicApiKey =
|
||||
e.currentTarget.value),
|
||||
);
|
||||
}}
|
||||
/>
|
||||
</ListItem>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Anthropic.ApiVerion.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.Anthropic.ApiVerion.SubTitle
|
||||
}
|
||||
>
|
||||
<input
|
||||
type="text"
|
||||
value={accessStore.anthropicApiVersion}
|
||||
placeholder={Anthropic.Vision}
|
||||
onChange={(e) =>
|
||||
accessStore.update(
|
||||
(access) =>
|
||||
(access.anthropicApiVersion =
|
||||
e.currentTarget.value),
|
||||
)
|
||||
}
|
||||
></input>
|
||||
</ListItem>
|
||||
</>
|
||||
)}
|
||||
{accessStore.provider === ServiceProvider.Baidu && (
|
||||
<>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Baidu.Endpoint.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.Baidu.Endpoint.SubTitle
|
||||
}
|
||||
>
|
||||
<input
|
||||
type="text"
|
||||
value={accessStore.baiduUrl}
|
||||
placeholder={Baidu.ExampleEndpoint}
|
||||
onChange={(e) =>
|
||||
accessStore.update(
|
||||
(access) =>
|
||||
(access.baiduUrl = e.currentTarget.value),
|
||||
)
|
||||
}
|
||||
></input>
|
||||
</ListItem>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Baidu.ApiKey.Title}
|
||||
subTitle={Locale.Settings.Access.Baidu.ApiKey.SubTitle}
|
||||
>
|
||||
<PasswordInput
|
||||
value={accessStore.baiduApiKey}
|
||||
type="text"
|
||||
placeholder={
|
||||
Locale.Settings.Access.Baidu.ApiKey.Placeholder
|
||||
}
|
||||
onChange={(e) => {
|
||||
accessStore.update(
|
||||
(access) =>
|
||||
(access.baiduApiKey = e.currentTarget.value),
|
||||
);
|
||||
}}
|
||||
/>
|
||||
</ListItem>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Baidu.SecretKey.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.Baidu.SecretKey.SubTitle
|
||||
}
|
||||
>
|
||||
<PasswordInput
|
||||
value={accessStore.baiduSecretKey}
|
||||
type="text"
|
||||
placeholder={
|
||||
Locale.Settings.Access.Baidu.SecretKey.Placeholder
|
||||
}
|
||||
onChange={(e) => {
|
||||
accessStore.update(
|
||||
(access) =>
|
||||
(access.baiduSecretKey = e.currentTarget.value),
|
||||
);
|
||||
}}
|
||||
/>
|
||||
</ListItem>
|
||||
</>
|
||||
)}
|
||||
|
||||
{accessStore.provider === ServiceProvider.ByteDance && (
|
||||
<>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.ByteDance.Endpoint.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.ByteDance.Endpoint.SubTitle +
|
||||
ByteDance.ExampleEndpoint
|
||||
}
|
||||
>
|
||||
<input
|
||||
type="text"
|
||||
value={accessStore.bytedanceUrl}
|
||||
placeholder={ByteDance.ExampleEndpoint}
|
||||
onChange={(e) =>
|
||||
accessStore.update(
|
||||
(access) =>
|
||||
(access.bytedanceUrl = e.currentTarget.value),
|
||||
)
|
||||
}
|
||||
></input>
|
||||
</ListItem>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.ByteDance.ApiKey.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.ByteDance.ApiKey.SubTitle
|
||||
}
|
||||
>
|
||||
<PasswordInput
|
||||
value={accessStore.bytedanceApiKey}
|
||||
type="text"
|
||||
placeholder={
|
||||
Locale.Settings.Access.ByteDance.ApiKey.Placeholder
|
||||
}
|
||||
onChange={(e) => {
|
||||
accessStore.update(
|
||||
(access) =>
|
||||
(access.bytedanceApiKey =
|
||||
e.currentTarget.value),
|
||||
);
|
||||
}}
|
||||
/>
|
||||
</ListItem>
|
||||
</>
|
||||
)}
|
||||
|
||||
{accessStore.provider === ServiceProvider.Alibaba && (
|
||||
<>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Alibaba.Endpoint.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.Alibaba.Endpoint.SubTitle +
|
||||
Alibaba.ExampleEndpoint
|
||||
}
|
||||
>
|
||||
<input
|
||||
type="text"
|
||||
value={accessStore.alibabaUrl}
|
||||
placeholder={Alibaba.ExampleEndpoint}
|
||||
onChange={(e) =>
|
||||
accessStore.update(
|
||||
(access) =>
|
||||
(access.alibabaUrl = e.currentTarget.value),
|
||||
)
|
||||
}
|
||||
></input>
|
||||
</ListItem>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.Alibaba.ApiKey.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.Alibaba.ApiKey.SubTitle
|
||||
}
|
||||
>
|
||||
<PasswordInput
|
||||
value={accessStore.alibabaApiKey}
|
||||
type="text"
|
||||
placeholder={
|
||||
Locale.Settings.Access.Alibaba.ApiKey.Placeholder
|
||||
}
|
||||
onChange={(e) => {
|
||||
accessStore.update(
|
||||
(access) =>
|
||||
(access.alibabaApiKey = e.currentTarget.value),
|
||||
);
|
||||
}}
|
||||
/>
|
||||
</ListItem>
|
||||
</>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
</>
|
||||
|
@@ -14,17 +14,24 @@
|
||||
|
||||
.popover-content {
|
||||
position: absolute;
|
||||
width: 350px;
|
||||
animation: slide-in 0.3s ease;
|
||||
right: 0;
|
||||
top: calc(100% + 10px);
|
||||
}
|
||||
|
||||
@media screen and (max-width: 600px) {
|
||||
.popover-content {
|
||||
width: auto;
|
||||
}
|
||||
}
|
||||
.popover-mask {
|
||||
position: fixed;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: 100vw;
|
||||
height: 100vh;
|
||||
background-color: rgba(0, 0, 0, 0.3);
|
||||
backdrop-filter: blur(5px);
|
||||
}
|
||||
|
||||
.list-item {
|
||||
|
@@ -26,10 +26,10 @@ export function Popover(props: {
|
||||
<div className={styles.popover}>
|
||||
{props.children}
|
||||
{props.open && (
|
||||
<div className={styles["popover-content"]}>
|
||||
<div className={styles["popover-mask"]} onClick={props.onClose}></div>
|
||||
{props.content}
|
||||
</div>
|
||||
<div className={styles["popover-mask"]} onClick={props.onClose}></div>
|
||||
)}
|
||||
{props.open && (
|
||||
<div className={styles["popover-content"]}>{props.content}</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
|
@@ -1,4 +1,5 @@
|
||||
import tauriConfig from "../../src-tauri/tauri.conf.json";
|
||||
import { DEFAULT_INPUT_TEMPLATE } from "../constant";
|
||||
|
||||
export const getBuildConfig = () => {
|
||||
if (typeof process === "undefined") {
|
||||
@@ -38,6 +39,7 @@ export const getBuildConfig = () => {
|
||||
...commitInfo,
|
||||
buildMode,
|
||||
isApp,
|
||||
template: process.env.DEFAULT_INPUT_TEMPLATE ?? DEFAULT_INPUT_TEMPLATE,
|
||||
};
|
||||
};
|
||||
|
||||
|
@@ -21,6 +21,7 @@ declare global {
|
||||
ENABLE_BALANCE_QUERY?: string; // allow user to query balance or not
|
||||
DISABLE_FAST_LINK?: string; // disallow parse settings from url or not
|
||||
CUSTOM_MODELS?: string; // to control custom models
|
||||
DEFAULT_MODEL?: string; // to control default model in every new chat window
|
||||
|
||||
// azure only
|
||||
AZURE_URL?: string; // https://{azure-url}/openai/deployments/{deploy-name}
|
||||
@@ -30,6 +31,30 @@ declare global {
|
||||
// google only
|
||||
GOOGLE_API_KEY?: string;
|
||||
GOOGLE_URL?: string;
|
||||
|
||||
// google tag manager
|
||||
GTM_ID?: string;
|
||||
|
||||
// anthropic only
|
||||
ANTHROPIC_URL?: string;
|
||||
ANTHROPIC_API_KEY?: string;
|
||||
ANTHROPIC_API_VERSION?: string;
|
||||
|
||||
// baidu only
|
||||
BAIDU_URL?: string;
|
||||
BAIDU_API_KEY?: string;
|
||||
BAIDU_SECRET_KEY?: string;
|
||||
|
||||
// bytedance only
|
||||
BYTEDANCE_URL?: string;
|
||||
BYTEDANCE_API_KEY?: string;
|
||||
|
||||
// alibaba only
|
||||
ALIBABA_URL?: string;
|
||||
ALIBABA_API_KEY?: string;
|
||||
|
||||
// custom template for preprocessing user input
|
||||
DEFAULT_INPUT_TEMPLATE?: string;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -47,6 +72,22 @@ const ACCESS_CODES = (function getAccessCodes(): Set<string> {
|
||||
}
|
||||
})();
|
||||
|
||||
function getApiKey(keys?: string) {
|
||||
const apiKeyEnvVar = keys ?? "";
|
||||
const apiKeys = apiKeyEnvVar.split(",").map((v) => v.trim());
|
||||
const randomIndex = Math.floor(Math.random() * apiKeys.length);
|
||||
const apiKey = apiKeys[randomIndex];
|
||||
if (apiKey) {
|
||||
console.log(
|
||||
`[Server Config] using ${randomIndex + 1} of ${
|
||||
apiKeys.length
|
||||
} api key - ${apiKey}`,
|
||||
);
|
||||
}
|
||||
|
||||
return apiKey;
|
||||
}
|
||||
|
||||
export const getServerSideConfig = () => {
|
||||
if (typeof process === "undefined") {
|
||||
throw Error(
|
||||
@@ -56,39 +97,67 @@ export const getServerSideConfig = () => {
|
||||
|
||||
const disableGPT4 = !!process.env.DISABLE_GPT4;
|
||||
let customModels = process.env.CUSTOM_MODELS ?? "";
|
||||
let defaultModel = process.env.DEFAULT_MODEL ?? "";
|
||||
|
||||
if (disableGPT4) {
|
||||
if (customModels) customModels += ",";
|
||||
customModels += DEFAULT_MODELS.filter((m) => m.name.startsWith("gpt-4"))
|
||||
.map((m) => "-" + m.name)
|
||||
.join(",");
|
||||
if (defaultModel.startsWith("gpt-4")) defaultModel = "";
|
||||
}
|
||||
|
||||
const isAzure = !!process.env.AZURE_URL;
|
||||
const isGoogle = !!process.env.GOOGLE_API_KEY;
|
||||
const isAnthropic = !!process.env.ANTHROPIC_API_KEY;
|
||||
|
||||
const apiKeyEnvVar = process.env.OPENAI_API_KEY ?? "";
|
||||
const apiKeys = apiKeyEnvVar.split(",").map((v) => v.trim());
|
||||
const randomIndex = Math.floor(Math.random() * apiKeys.length);
|
||||
const apiKey = apiKeys[randomIndex];
|
||||
console.log(
|
||||
`[Server Config] using ${randomIndex + 1} of ${apiKeys.length} api key`,
|
||||
);
|
||||
const isBaidu = !!process.env.BAIDU_API_KEY;
|
||||
const isBytedance = !!process.env.BYTEDANCE_API_KEY;
|
||||
const isAlibaba = !!process.env.ALIBABA_API_KEY;
|
||||
// const apiKeyEnvVar = process.env.OPENAI_API_KEY ?? "";
|
||||
// const apiKeys = apiKeyEnvVar.split(",").map((v) => v.trim());
|
||||
// const randomIndex = Math.floor(Math.random() * apiKeys.length);
|
||||
// const apiKey = apiKeys[randomIndex];
|
||||
// console.log(
|
||||
// `[Server Config] using ${randomIndex + 1} of ${apiKeys.length} api key`,
|
||||
// );
|
||||
|
||||
const allowedWebDevEndpoints = (
|
||||
process.env.WHITE_WEBDEV_ENDPOINTS ?? ""
|
||||
).split(",");
|
||||
|
||||
return {
|
||||
baseUrl: process.env.BASE_URL,
|
||||
apiKey,
|
||||
apiKey: getApiKey(process.env.OPENAI_API_KEY),
|
||||
openaiOrgId: process.env.OPENAI_ORG_ID,
|
||||
|
||||
isAzure,
|
||||
azureUrl: process.env.AZURE_URL,
|
||||
azureApiKey: process.env.AZURE_API_KEY,
|
||||
azureApiKey: getApiKey(process.env.AZURE_API_KEY),
|
||||
azureApiVersion: process.env.AZURE_API_VERSION,
|
||||
|
||||
isGoogle,
|
||||
googleApiKey: process.env.GOOGLE_API_KEY,
|
||||
googleApiKey: getApiKey(process.env.GOOGLE_API_KEY),
|
||||
googleUrl: process.env.GOOGLE_URL,
|
||||
|
||||
isAnthropic,
|
||||
anthropicApiKey: getApiKey(process.env.ANTHROPIC_API_KEY),
|
||||
anthropicApiVersion: process.env.ANTHROPIC_API_VERSION,
|
||||
anthropicUrl: process.env.ANTHROPIC_URL,
|
||||
|
||||
isBaidu,
|
||||
baiduUrl: process.env.BAIDU_URL,
|
||||
baiduApiKey: getApiKey(process.env.BAIDU_API_KEY),
|
||||
baiduSecretKey: process.env.BAIDU_SECRET_KEY,
|
||||
|
||||
isBytedance,
|
||||
bytedanceApiKey: getApiKey(process.env.BYTEDANCE_API_KEY),
|
||||
bytedanceUrl: process.env.BYTEDANCE_URL,
|
||||
|
||||
isAlibaba,
|
||||
alibabaUrl: process.env.ALIBABA_URL,
|
||||
alibabaApiKey: getApiKey(process.env.ALIBABA_API_KEY),
|
||||
|
||||
gtmId: process.env.GTM_ID,
|
||||
|
||||
needCode: ACCESS_CODES.size > 0,
|
||||
@@ -103,5 +172,7 @@ export const getServerSideConfig = () => {
|
||||
hideBalanceQuery: !process.env.ENABLE_BALANCE_QUERY,
|
||||
disableFastLink: !!process.env.DISABLE_FAST_LINK,
|
||||
customModels,
|
||||
defaultModel,
|
||||
allowedWebDevEndpoints,
|
||||
};
|
||||
};
|
||||
|
350
app/constant.ts
@@ -8,12 +8,22 @@ export const FETCH_COMMIT_URL = `https://api.github.com/repos/${OWNER}/${REPO}/c
|
||||
export const FETCH_TAG_URL = `https://api.github.com/repos/${OWNER}/${REPO}/tags?per_page=1`;
|
||||
export const RUNTIME_CONFIG_DOM = "danger-runtime-config";
|
||||
|
||||
export const DEFAULT_CORS_HOST = "https://a.nextweb.fun";
|
||||
export const DEFAULT_API_HOST = `${DEFAULT_CORS_HOST}/api/proxy`;
|
||||
export const DEFAULT_API_HOST = "https://api.nextchat.dev";
|
||||
export const OPENAI_BASE_URL = "https://api.openai.com";
|
||||
export const ANTHROPIC_BASE_URL = "https://api.anthropic.com";
|
||||
|
||||
export const GEMINI_BASE_URL = "https://generativelanguage.googleapis.com/";
|
||||
|
||||
export const BAIDU_BASE_URL = "https://aip.baidubce.com";
|
||||
export const BAIDU_OATUH_URL = `${BAIDU_BASE_URL}/oauth/2.0/token`;
|
||||
|
||||
export const BYTEDANCE_BASE_URL = "https://ark.cn-beijing.volces.com";
|
||||
|
||||
export const ALIBABA_BASE_URL = "https://dashscope.aliyuncs.com/api/";
|
||||
|
||||
export const CACHE_URL_PREFIX = "/api/cache";
|
||||
export const UPLOAD_URL = `${CACHE_URL_PREFIX}/upload`;
|
||||
|
||||
export enum Path {
|
||||
Home = "/",
|
||||
Chat = "/chat",
|
||||
@@ -24,8 +34,14 @@ export enum Path {
|
||||
}
|
||||
|
||||
export enum ApiPath {
|
||||
Cors = "/api/cors",
|
||||
Cors = "",
|
||||
Azure = "/api/azure",
|
||||
OpenAI = "/api/openai",
|
||||
Anthropic = "/api/anthropic",
|
||||
Google = "/api/google",
|
||||
Baidu = "/api/baidu",
|
||||
ByteDance = "/api/bytedance",
|
||||
Alibaba = "/api/alibaba",
|
||||
}
|
||||
|
||||
export enum SlotID {
|
||||
@@ -68,13 +84,28 @@ export enum ServiceProvider {
|
||||
OpenAI = "OpenAI",
|
||||
Azure = "Azure",
|
||||
Google = "Google",
|
||||
Anthropic = "Anthropic",
|
||||
Baidu = "Baidu",
|
||||
ByteDance = "ByteDance",
|
||||
Alibaba = "Alibaba",
|
||||
}
|
||||
|
||||
export enum ModelProvider {
|
||||
GPT = "GPT",
|
||||
GeminiPro = "GeminiPro",
|
||||
Claude = "Claude",
|
||||
Ernie = "Ernie",
|
||||
Doubao = "Doubao",
|
||||
Qwen = "Qwen",
|
||||
}
|
||||
|
||||
export const Anthropic = {
|
||||
ChatPath: "v1/messages",
|
||||
ChatPath1: "v1/complete",
|
||||
ExampleEndpoint: "https://api.anthropic.com",
|
||||
Vision: "2023-06-01",
|
||||
};
|
||||
|
||||
export const OpenaiPath = {
|
||||
ChatPath: "v1/chat/completions",
|
||||
UsagePath: "dashboard/billing/usage",
|
||||
@@ -83,171 +114,234 @@ export const OpenaiPath = {
|
||||
};
|
||||
|
||||
export const Azure = {
|
||||
ChatPath: (deployName: string, apiVersion: string) =>
|
||||
`deployments/${deployName}/chat/completions?api-version=${apiVersion}`,
|
||||
ExampleEndpoint: "https://{resource-url}/openai/deployments/{deploy-id}",
|
||||
};
|
||||
|
||||
export const Google = {
|
||||
ExampleEndpoint: "https://generativelanguage.googleapis.com/",
|
||||
ChatPath: "v1beta/models/gemini-pro:generateContent",
|
||||
ChatPath: (modelName: string) =>
|
||||
`v1beta/models/${modelName}:streamGenerateContent`,
|
||||
};
|
||||
|
||||
// /api/openai/v1/chat/completions
|
||||
export const Baidu = {
|
||||
ExampleEndpoint: BAIDU_BASE_URL,
|
||||
ChatPath: (modelName: string) => {
|
||||
let endpoint = modelName;
|
||||
if (modelName === "ernie-4.0-8k") {
|
||||
endpoint = "completions_pro";
|
||||
}
|
||||
if (modelName === "ernie-4.0-8k-preview-0518") {
|
||||
endpoint = "completions_adv_pro";
|
||||
}
|
||||
if (modelName === "ernie-3.5-8k") {
|
||||
endpoint = "completions";
|
||||
}
|
||||
if (modelName === "ernie-speed-128k") {
|
||||
endpoint = "ernie-speed-128k";
|
||||
}
|
||||
if (modelName === "ernie-speed-8k") {
|
||||
endpoint = "ernie_speed";
|
||||
}
|
||||
return `rpc/2.0/ai_custom/v1/wenxinworkshop/chat/${endpoint}`;
|
||||
},
|
||||
};
|
||||
|
||||
export const ByteDance = {
|
||||
ExampleEndpoint: "https://ark.cn-beijing.volces.com/api/",
|
||||
ChatPath: "api/v3/chat/completions",
|
||||
};
|
||||
|
||||
export const Alibaba = {
|
||||
ExampleEndpoint: ALIBABA_BASE_URL,
|
||||
ChatPath: "v1/services/aigc/text-generation/generation",
|
||||
};
|
||||
|
||||
export const DEFAULT_INPUT_TEMPLATE = `{{input}}`; // input / time / model / lang
|
||||
// export const DEFAULT_SYSTEM_TEMPLATE = `
|
||||
// You are ChatGPT, a large language model trained by {{ServiceProvider}}.
|
||||
// Knowledge cutoff: {{cutoff}}
|
||||
// Current model: {{model}}
|
||||
// Current time: {{time}}
|
||||
// Latex inline: $x^2$
|
||||
// Latex block: $$e=mc^2$$
|
||||
// `;
|
||||
export const DEFAULT_SYSTEM_TEMPLATE = `
|
||||
You are ChatGPT, a large language model trained by OpenAI.
|
||||
You are ChatGPT, a large language model trained by {{ServiceProvider}}.
|
||||
Knowledge cutoff: {{cutoff}}
|
||||
Current model: {{model}}
|
||||
Current time: {{time}}
|
||||
Latex inline: $x^2$
|
||||
Latex inline: \\(x^2\\)
|
||||
Latex block: $$e=mc^2$$
|
||||
`;
|
||||
|
||||
export const SUMMARIZE_MODEL = "gpt-3.5-turbo";
|
||||
export const GEMINI_SUMMARIZE_MODEL = "gemini-pro";
|
||||
|
||||
export const KnowledgeCutOffDate: Record<string, string> = {
|
||||
default: "2021-09",
|
||||
"gpt-4-1106-preview": "2023-04",
|
||||
"gpt-4-turbo": "2023-12",
|
||||
"gpt-4-turbo-2024-04-09": "2023-12",
|
||||
"gpt-4-turbo-preview": "2023-12",
|
||||
"gpt-4o": "2023-10",
|
||||
"gpt-4o-2024-05-13": "2023-10",
|
||||
"gpt-4o-mini": "2023-10",
|
||||
"gpt-4o-mini-2024-07-18": "2023-10",
|
||||
"gpt-4-vision-preview": "2023-04",
|
||||
// After improvements,
|
||||
// it's now easier to add "KnowledgeCutOffDate" instead of stupid hardcoding it, as was done previously.
|
||||
"gemini-pro": "2023-12",
|
||||
"gemini-pro-vision": "2023-12",
|
||||
};
|
||||
|
||||
const openaiModels = [
|
||||
"gpt-3.5-turbo",
|
||||
"gpt-3.5-turbo-1106",
|
||||
"gpt-3.5-turbo-0125",
|
||||
"gpt-4",
|
||||
"gpt-4-0613",
|
||||
"gpt-4-32k",
|
||||
"gpt-4-32k-0613",
|
||||
"gpt-4-turbo",
|
||||
"gpt-4-turbo-preview",
|
||||
"gpt-4o",
|
||||
"gpt-4o-2024-05-13",
|
||||
"gpt-4o-mini",
|
||||
"gpt-4o-mini-2024-07-18",
|
||||
"gpt-4-vision-preview",
|
||||
"gpt-4-turbo-2024-04-09",
|
||||
"gpt-4-1106-preview",
|
||||
];
|
||||
|
||||
const googleModels = [
|
||||
"gemini-1.0-pro",
|
||||
"gemini-1.5-pro-latest",
|
||||
"gemini-1.5-flash-latest",
|
||||
"gemini-pro-vision",
|
||||
];
|
||||
|
||||
const anthropicModels = [
|
||||
"claude-instant-1.2",
|
||||
"claude-2.0",
|
||||
"claude-2.1",
|
||||
"claude-3-sonnet-20240229",
|
||||
"claude-3-opus-20240229",
|
||||
"claude-3-haiku-20240307",
|
||||
"claude-3-5-sonnet-20240620",
|
||||
];
|
||||
|
||||
const baiduModels = [
|
||||
"ernie-4.0-turbo-8k",
|
||||
"ernie-4.0-8k",
|
||||
"ernie-4.0-8k-preview",
|
||||
"ernie-4.0-8k-preview-0518",
|
||||
"ernie-4.0-8k-latest",
|
||||
"ernie-3.5-8k",
|
||||
"ernie-3.5-8k-0205",
|
||||
"ernie-speed-128k",
|
||||
"ernie-speed-8k",
|
||||
"ernie-lite-8k",
|
||||
"ernie-tiny-8k",
|
||||
];
|
||||
|
||||
const bytedanceModels = [
|
||||
"Doubao-lite-4k",
|
||||
"Doubao-lite-32k",
|
||||
"Doubao-lite-128k",
|
||||
"Doubao-pro-4k",
|
||||
"Doubao-pro-32k",
|
||||
"Doubao-pro-128k",
|
||||
];
|
||||
|
||||
const alibabaModes = [
|
||||
"qwen-turbo",
|
||||
"qwen-plus",
|
||||
"qwen-max",
|
||||
"qwen-max-0428",
|
||||
"qwen-max-0403",
|
||||
"qwen-max-0107",
|
||||
"qwen-max-longcontext",
|
||||
];
|
||||
|
||||
export const DEFAULT_MODELS = [
|
||||
{
|
||||
name: "gpt-4",
|
||||
...openaiModels.map((name) => ({
|
||||
name,
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-4-0314",
|
||||
})),
|
||||
...openaiModels.map((name) => ({
|
||||
name,
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
id: "azure",
|
||||
providerName: "Azure",
|
||||
providerType: "azure",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-4-0613",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-4-32k",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-4-32k-0314",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-4-32k-0613",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-4-1106-preview",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-4-vision-preview",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-3.5-turbo",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-3.5-turbo-0301",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-3.5-turbo-0613",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-3.5-turbo-1106",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-3.5-turbo-16k",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gpt-3.5-turbo-16k-0613",
|
||||
available: true,
|
||||
provider: {
|
||||
id: "openai",
|
||||
providerName: "OpenAI",
|
||||
providerType: "openai",
|
||||
},
|
||||
},
|
||||
{
|
||||
name: "gemini-pro",
|
||||
})),
|
||||
...googleModels.map((name) => ({
|
||||
name,
|
||||
available: true,
|
||||
provider: {
|
||||
id: "google",
|
||||
providerName: "Google",
|
||||
providerType: "google",
|
||||
},
|
||||
},
|
||||
})),
|
||||
...anthropicModels.map((name) => ({
|
||||
name,
|
||||
available: true,
|
||||
provider: {
|
||||
id: "anthropic",
|
||||
providerName: "Anthropic",
|
||||
providerType: "anthropic",
|
||||
},
|
||||
})),
|
||||
...baiduModels.map((name) => ({
|
||||
name,
|
||||
available: true,
|
||||
provider: {
|
||||
id: "baidu",
|
||||
providerName: "Baidu",
|
||||
providerType: "baidu",
|
||||
},
|
||||
})),
|
||||
...bytedanceModels.map((name) => ({
|
||||
name,
|
||||
available: true,
|
||||
provider: {
|
||||
id: "bytedance",
|
||||
providerName: "ByteDance",
|
||||
providerType: "bytedance",
|
||||
},
|
||||
})),
|
||||
...alibabaModes.map((name) => ({
|
||||
name,
|
||||
available: true,
|
||||
provider: {
|
||||
id: "alibaba",
|
||||
providerName: "Alibaba",
|
||||
providerType: "alibaba",
|
||||
},
|
||||
})),
|
||||
] as const;
|
||||
|
||||
export const CHAT_PAGE_SIZE = 15;
|
||||
export const MAX_RENDER_MSG_COUNT = 45;
|
||||
|
||||
// some famous webdav endpoints
|
||||
export const internalAllowedWebDavEndpoints = [
|
||||
"https://dav.jianguoyun.com/dav/",
|
||||
"https://dav.dropdav.com/",
|
||||
"https://dav.box.com/dav",
|
||||
"https://nanao.teracloud.jp/dav/",
|
||||
"https://bora.teracloud.jp/dav/",
|
||||
"https://webdav.4shared.com/",
|
||||
"https://dav.idrivesync.com",
|
||||
"https://webdav.yandex.com",
|
||||
"https://app.koofr.net/dav/Koofr",
|
||||
];
|
||||
|
1
app/global.d.ts
vendored
@@ -19,6 +19,7 @@ declare interface Window {
|
||||
};
|
||||
fs: {
|
||||
writeBinaryFile(path: string, data: Uint8Array): Promise<void>;
|
||||
writeTextFile(path: string, data: string): Promise<void>;
|
||||
};
|
||||
notification:{
|
||||
requestPermission(): Promise<Permission>;
|
||||
|
@@ -1 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="16" height="16" viewBox="0 0 16 16" fill="none"><defs><rect id="path_0" x="0" y="0" width="16" height="16" /></defs><g opacity="1" transform="translate(0 0) rotate(0 8 8)"><mask id="bg-mask-0" fill="white"><use xlink:href="#path_0"></use></mask><g mask="url(#bg-mask-0)" ><path id="分组 1" style="stroke:#333333; stroke-width:1; stroke-opacity:1; stroke-dasharray:0 0" transform="translate(5.666666666666666 5.333333333333333) rotate(0 2.333750009536743 2.6666666666666665)" d="M0 5.33667L0.73 3.66667 M4.6675 5.33667L3.9375 3.66667 M0.729167 3.67L2.32917 0L3.93917 3.67 M0.729167 3.66667L3.93917 3.66667 " /><path id="路径 5" style="stroke:#333333; stroke-width:1.3333333333333333; stroke-opacity:1; stroke-dasharray:0 0" transform="translate(1.3333333333333333 1.3333333333333333) rotate(0 6.533316666666666 2.6666666666666665)" d="M13.07,5.33C12.45,2.29 9.76,0 6.53,0C3.31,0 0.62,2.29 0,5.33L2,4.67 " /><path id="路径 6" style="stroke:#333333; stroke-width:1.3333333333333333; stroke-opacity:1; stroke-dasharray:0 0" transform="translate(1.3333333333333333 9.333333333333332) rotate(0 6.533316666666666 2.6666666666666665)" d="M0,0C0.62,3.04 3.31,5.33 6.53,5.33C9.76,5.33 12.45,3.04 13.07,0L11.33,0.67 " /></g></g></svg>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="16" height="16" fill="none" viewBox="0 0 16 16"><defs><rect id="path_0" width="16" height="16" x="0" y="0"/></defs><g opacity="1" transform="translate(0 0) rotate(0 8 8)"><mask id="bg-mask-0" fill="#fff"><use xlink:href="#path_0"/></mask><g mask="url(#bg-mask-0)"><path id="分组 1" style="stroke:#333;stroke-width:1;stroke-opacity:1;stroke-dasharray:0 0" d="M0 5.33667L0.73 3.66667 M4.6675 5.33667L3.9375 3.66667 M0.729167 3.67L2.32917 0L3.93917 3.67 M0.729167 3.66667L3.93917 3.66667" transform="translate(5.666666666666666 5.333333333333333) rotate(0 2.333750009536743 2.6666666666666665)"/><path id="路径 5" style="stroke:#333;stroke-width:1.3333333333333333;stroke-opacity:1;stroke-dasharray:0 0" d="M13.07,5.33C12.45,2.29 9.76,0 6.53,0C3.31,0 0.62,2.29 0,5.33L2,4.67" transform="translate(1.3333333333333333 1.3333333333333333) rotate(0 6.533316666666666 2.6666666666666665)"/><path id="路径 6" style="stroke:#333;stroke-width:1.3333333333333333;stroke-opacity:1;stroke-dasharray:0 0" d="M0,0C0.62,3.04 3.31,5.33 6.53,5.33C9.76,5.33 12.45,3.04 13.07,0L11.33,0.67" transform="translate(1.3333333333333333 9.333333333333332) rotate(0 6.533316666666666 2.6666666666666665)"/></g></g></svg>
|
Before Width: | Height: | Size: 1.3 KiB After Width: | Height: | Size: 1.3 KiB |
@@ -1,28 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="30"
|
||||
height="30" viewBox="0 0 30 30" fill="none">
|
||||
<defs>
|
||||
<rect id="path_0" x="0" y="0" width="29.999999999999996" height="29.999999999999996" />
|
||||
<rect id="path_1" x="0" y="0" width="20.45454545454545" height="20.45454545454545" />
|
||||
</defs>
|
||||
<g opacity="1" transform="translate(0 0) rotate(0 14.999999999999998 14.999999999999998)">
|
||||
<rect fill="#E7F8FF" opacity="1"
|
||||
transform="translate(0 0) rotate(0 14.999999999999998 14.999999999999998)" x="0" y="0"
|
||||
width="29.999999999999996" height="29.999999999999996" rx="10" />
|
||||
<mask id="bg-mask-0" fill="white">
|
||||
<use xlink:href="#path_0"></use>
|
||||
</mask>
|
||||
<g mask="url(#bg-mask-0)">
|
||||
<g opacity="1"
|
||||
transform="translate(4.772727272727272 4.772727272727273) rotate(0 10.227272727272725 10.227272727272725)">
|
||||
<mask id="bg-mask-1" fill="white">
|
||||
<use xlink:href="#path_1"></use>
|
||||
</mask>
|
||||
<g mask="url(#bg-mask-1)">
|
||||
<path id="分组 1" fill-rule="evenodd" style="fill:#1F948C"
|
||||
transform="translate(0 0) rotate(0 10.227272727272725 10.227272727272725)" opacity="1"
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</g>
|
||||
</svg>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="16" height="16" fill="none" viewBox="0 0 16 16"><defs><rect id="path_0" width="16" height="16" x="0" y="0"/></defs><g opacity="1" transform="translate(0 0) rotate(0 8 8)"><mask id="bg-mask-0" fill="#fff"><use xlink:href="#path_0"/></mask><g mask="url(#bg-mask-0)"><path id="路径 1" style="stroke:#333;stroke-width:1.3333333333333333;stroke-opacity:1;stroke-dasharray:0 0" d="M13.33,5.67L10,0L3.33,0L0,5.67L3.33,11.33L10,11.33L13.33,5.67Z" transform="translate(1.3333333333333333 2.333333333333333) rotate(0 6.666666666666666 5.666666666666666)"/><path id="路径 2" style="stroke:#333;stroke-width:1.3333333333333333;stroke-opacity:1;stroke-dasharray:0 0" d="M3.33,1.67C3.33,0.75 2.59,0 1.67,0C0.75,0 0,0.75 0,1.67C0,2.59 0.75,3.33 1.67,3.33C2.59,3.33 3.33,2.59 3.33,1.67Z" transform="translate(6.333333333333333 6.333333333333333) rotate(0 1.6666666666666665 1.6666666666666665)"/></g></g></svg>
|
Before Width: | Height: | Size: 1.1 KiB After Width: | Height: | Size: 988 B |
Before Width: | Height: | Size: 11 KiB After Width: | Height: | Size: 11 KiB |
@@ -3,7 +3,7 @@ import "./styles/globals.scss";
|
||||
import "./styles/markdown.scss";
|
||||
import "./styles/highlight.scss";
|
||||
import { getClientConfig } from "./config/client";
|
||||
import { type Metadata } from "next";
|
||||
import type { Metadata, Viewport } from "next";
|
||||
import { SpeedInsights } from "@vercel/speed-insights/next";
|
||||
import { getServerSideConfig } from "./config/server";
|
||||
import { GoogleTagManager } from "@next/third-parties/google";
|
||||
@@ -12,21 +12,22 @@ const serverConfig = getServerSideConfig();
|
||||
export const metadata: Metadata = {
|
||||
title: "NextChat",
|
||||
description: "Your personal ChatGPT Chat Bot.",
|
||||
viewport: {
|
||||
width: "device-width",
|
||||
initialScale: 1,
|
||||
maximumScale: 1,
|
||||
},
|
||||
themeColor: [
|
||||
{ media: "(prefers-color-scheme: light)", color: "#fafafa" },
|
||||
{ media: "(prefers-color-scheme: dark)", color: "#151515" },
|
||||
],
|
||||
appleWebApp: {
|
||||
title: "NextChat",
|
||||
statusBarStyle: "default",
|
||||
},
|
||||
};
|
||||
|
||||
export const viewport: Viewport = {
|
||||
width: "device-width",
|
||||
initialScale: 1,
|
||||
maximumScale: 1,
|
||||
themeColor: [
|
||||
{ media: "(prefers-color-scheme: light)", color: "#fafafa" },
|
||||
{ media: "(prefers-color-scheme: dark)", color: "#151515" },
|
||||
],
|
||||
};
|
||||
|
||||
export default function RootLayout({
|
||||
children,
|
||||
}: {
|
||||
@@ -36,6 +37,7 @@ export default function RootLayout({
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta name="config" content={JSON.stringify(getClientConfig())} />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
|
||||
<link rel="manifest" href="/site.webmanifest"></link>
|
||||
<script src="/serviceWorkerRegister.js" defer></script>
|
||||
</head>
|
||||
|
@@ -63,6 +63,7 @@ const cn = {
|
||||
Masks: "所有面具",
|
||||
Clear: "清除聊天",
|
||||
Settings: "对话设置",
|
||||
UploadImage: "上传图片",
|
||||
},
|
||||
Rename: "重命名对话",
|
||||
Typing: "正在输入…",
|
||||
@@ -312,21 +313,76 @@ const cn = {
|
||||
SubTitle: "选择指定的部分版本",
|
||||
},
|
||||
},
|
||||
Google: {
|
||||
Anthropic: {
|
||||
ApiKey: {
|
||||
Title: "接口密钥",
|
||||
SubTitle: "使用自定义 Google AI Studio API Key 绕过密码访问限制",
|
||||
Placeholder: "Google AI Studio API Key",
|
||||
SubTitle: "使用自定义 Anthropic Key 绕过密码访问限制",
|
||||
Placeholder: "Anthropic API Key",
|
||||
},
|
||||
|
||||
Endpoint: {
|
||||
Title: "接口地址",
|
||||
SubTitle: "不包含请求路径,样例:",
|
||||
SubTitle: "样例:",
|
||||
},
|
||||
|
||||
ApiVerion: {
|
||||
Title: "接口版本 (gemini-pro api version)",
|
||||
SubTitle: "选择指定的部分版本",
|
||||
Title: "接口版本 (claude api version)",
|
||||
SubTitle: "选择一个特定的 API 版本输入",
|
||||
},
|
||||
},
|
||||
Google: {
|
||||
ApiKey: {
|
||||
Title: "API 密钥",
|
||||
SubTitle: "从 Google AI 获取您的 API 密钥",
|
||||
Placeholder: "输入您的 Google AI Studio API 密钥",
|
||||
},
|
||||
|
||||
Endpoint: {
|
||||
Title: "终端地址",
|
||||
SubTitle: "示例:",
|
||||
},
|
||||
|
||||
ApiVersion: {
|
||||
Title: "API 版本(仅适用于 gemini-pro)",
|
||||
SubTitle: "选择一个特定的 API 版本",
|
||||
},
|
||||
},
|
||||
Baidu: {
|
||||
ApiKey: {
|
||||
Title: "API Key",
|
||||
SubTitle: "使用自定义 Baidu API Key",
|
||||
Placeholder: "Baidu API Key",
|
||||
},
|
||||
SecretKey: {
|
||||
Title: "Secret Key",
|
||||
SubTitle: "使用自定义 Baidu Secret Key",
|
||||
Placeholder: "Baidu Secret Key",
|
||||
},
|
||||
Endpoint: {
|
||||
Title: "接口地址",
|
||||
SubTitle: "不支持自定义前往.env配置",
|
||||
},
|
||||
},
|
||||
ByteDance: {
|
||||
ApiKey: {
|
||||
Title: "接口密钥",
|
||||
SubTitle: "使用自定义 ByteDance API Key",
|
||||
Placeholder: "ByteDance API Key",
|
||||
},
|
||||
Endpoint: {
|
||||
Title: "接口地址",
|
||||
SubTitle: "样例:",
|
||||
},
|
||||
},
|
||||
Alibaba: {
|
||||
ApiKey: {
|
||||
Title: "接口密钥",
|
||||
SubTitle: "使用自定义阿里云API Key",
|
||||
Placeholder: "Alibaba Cloud API Key",
|
||||
},
|
||||
Endpoint: {
|
||||
Title: "接口地址",
|
||||
SubTitle: "样例:",
|
||||
},
|
||||
},
|
||||
CustomModel: {
|
||||
|
@@ -65,6 +65,7 @@ const en: LocaleType = {
|
||||
Masks: "Masks",
|
||||
Clear: "Clear Context",
|
||||
Settings: "Settings",
|
||||
UploadImage: "Upload Images",
|
||||
},
|
||||
Rename: "Rename Chat",
|
||||
Typing: "Typing…",
|
||||
@@ -295,7 +296,7 @@ const en: LocaleType = {
|
||||
|
||||
Endpoint: {
|
||||
Title: "OpenAI Endpoint",
|
||||
SubTitle: "Must starts with http(s):// or use /api/openai as default",
|
||||
SubTitle: "Must start with http(s):// or use /api/openai as default",
|
||||
},
|
||||
},
|
||||
Azure: {
|
||||
@@ -315,6 +316,62 @@ const en: LocaleType = {
|
||||
SubTitle: "Check your api version from azure console",
|
||||
},
|
||||
},
|
||||
Anthropic: {
|
||||
ApiKey: {
|
||||
Title: "Anthropic API Key",
|
||||
SubTitle:
|
||||
"Use a custom Anthropic Key to bypass password access restrictions",
|
||||
Placeholder: "Anthropic API Key",
|
||||
},
|
||||
|
||||
Endpoint: {
|
||||
Title: "Endpoint Address",
|
||||
SubTitle: "Example: ",
|
||||
},
|
||||
|
||||
ApiVerion: {
|
||||
Title: "API Version (claude api version)",
|
||||
SubTitle: "Select and input a specific API version",
|
||||
},
|
||||
},
|
||||
Baidu: {
|
||||
ApiKey: {
|
||||
Title: "Baidu API Key",
|
||||
SubTitle: "Use a custom Baidu API Key",
|
||||
Placeholder: "Baidu API Key",
|
||||
},
|
||||
SecretKey: {
|
||||
Title: "Baidu Secret Key",
|
||||
SubTitle: "Use a custom Baidu Secret Key",
|
||||
Placeholder: "Baidu Secret Key",
|
||||
},
|
||||
Endpoint: {
|
||||
Title: "Endpoint Address",
|
||||
SubTitle: "not supported, configure in .env",
|
||||
},
|
||||
},
|
||||
ByteDance: {
|
||||
ApiKey: {
|
||||
Title: "ByteDance API Key",
|
||||
SubTitle: "Use a custom ByteDance API Key",
|
||||
Placeholder: "ByteDance API Key",
|
||||
},
|
||||
Endpoint: {
|
||||
Title: "Endpoint Address",
|
||||
SubTitle: "Example: ",
|
||||
},
|
||||
},
|
||||
Alibaba: {
|
||||
ApiKey: {
|
||||
Title: "Alibaba API Key",
|
||||
SubTitle: "Use a custom Alibaba Cloud API Key",
|
||||
Placeholder: "Alibaba Cloud API Key",
|
||||
},
|
||||
Endpoint: {
|
||||
Title: "Endpoint Address",
|
||||
SubTitle: "Example: ",
|
||||
},
|
||||
},
|
||||
CustomModel: {
|
||||
Title: "Custom Models",
|
||||
SubTitle: "Custom model options, seperated by comma",
|
||||
@@ -322,19 +379,18 @@ const en: LocaleType = {
|
||||
Google: {
|
||||
ApiKey: {
|
||||
Title: "API Key",
|
||||
SubTitle:
|
||||
"Bypass password access restrictions using a custom Google AI Studio API Key",
|
||||
Placeholder: "Google AI Studio API Key",
|
||||
SubTitle: "Obtain your API Key from Google AI",
|
||||
Placeholder: "Enter your Google AI Studio API Key",
|
||||
},
|
||||
|
||||
Endpoint: {
|
||||
Title: "Endpoint Address",
|
||||
SubTitle: "Example:",
|
||||
SubTitle: "Example: ",
|
||||
},
|
||||
|
||||
ApiVerion: {
|
||||
Title: "API Version (gemini-pro api version)",
|
||||
SubTitle: "Select a specific part version",
|
||||
ApiVersion: {
|
||||
Title: "API Version (specific to gemini-pro)",
|
||||
SubTitle: "Select a specific API version",
|
||||
},
|
||||
},
|
||||
},
|
||||
|
@@ -97,7 +97,17 @@ function setItem(key: string, value: string) {
|
||||
|
||||
function getLanguage() {
|
||||
try {
|
||||
return navigator.language.toLowerCase();
|
||||
const locale = new Intl.Locale(navigator.language).maximize();
|
||||
const region = locale?.region?.toLowerCase();
|
||||
// 1. check region code in ALL_LANGS
|
||||
if (AllLangs.includes(region as Lang)) {
|
||||
return region as Lang;
|
||||
}
|
||||
// 2. check language code in ALL_LANGS
|
||||
if (AllLangs.includes(locale.language as Lang)) {
|
||||
return locale.language as Lang;
|
||||
}
|
||||
return DEFAULT_LANG;
|
||||
} catch {
|
||||
return DEFAULT_LANG;
|
||||
}
|
||||
@@ -110,15 +120,7 @@ export function getLang(): Lang {
|
||||
return savedLang as Lang;
|
||||
}
|
||||
|
||||
const lang = getLanguage();
|
||||
|
||||
for (const option of AllLangs) {
|
||||
if (lang.includes(option)) {
|
||||
return option;
|
||||
}
|
||||
}
|
||||
|
||||
return DEFAULT_LANG;
|
||||
return getLanguage();
|
||||
}
|
||||
|
||||
export function changeLang(lang: Lang) {
|
||||
|
@@ -12,6 +12,13 @@ const jp: PartialLocaleType = {
|
||||
},
|
||||
Chat: {
|
||||
SubTitle: (count: number) => `ChatGPTとの ${count} 通のチャット`,
|
||||
EditMessage: {
|
||||
Title: "全てのメッセージを修正",
|
||||
Topic: {
|
||||
Title: "トピック",
|
||||
SubTitle: "このトピックを変える",
|
||||
},
|
||||
},
|
||||
Actions: {
|
||||
ChatList: "メッセージリストを表示",
|
||||
CompressedHistory: "圧縮された履歴プロンプトを表示",
|
||||
@@ -47,6 +54,28 @@ const jp: PartialLocaleType = {
|
||||
Download: "ファイルをダウンロード",
|
||||
MessageFromYou: "あなたからのメッセージ",
|
||||
MessageFromChatGPT: "ChatGPTからのメッセージ",
|
||||
Format: {
|
||||
Title: "フォーマットをエクスポート",
|
||||
SubTitle: "マークダウン形式、PNG画像形式を選択できます。",
|
||||
},
|
||||
IncludeContext: {
|
||||
Title: "コンテキストを含みますか?",
|
||||
SubTitle: "コンテキストを含ませるか否か",
|
||||
},
|
||||
Steps: {
|
||||
Select: "エクスポート設定",
|
||||
Preview: "プレビュー",
|
||||
},
|
||||
Image: {
|
||||
Toast: "画像生成中...",
|
||||
Modal: "長押し、または右クリックで保存してください。",
|
||||
},
|
||||
},
|
||||
Select: {
|
||||
Search: "検索",
|
||||
All: "すべて選択",
|
||||
Latest: "新しいメッセージを選択",
|
||||
Clear: "クリア",
|
||||
},
|
||||
Memory: {
|
||||
Title: "履歴メモリ",
|
||||
@@ -118,6 +147,10 @@ const jp: PartialLocaleType = {
|
||||
Title: "キャラクターページ",
|
||||
SubTitle: "新規チャット作成時にキャラクターページを表示する",
|
||||
},
|
||||
Builtin: {
|
||||
Title: "ビルトインマスクを非表示",
|
||||
SubTitle: "マスクリストからビルトインを非表示する",
|
||||
},
|
||||
},
|
||||
Prompt: {
|
||||
Disable: {
|
||||
@@ -157,7 +190,6 @@ const jp: PartialLocaleType = {
|
||||
Check: "再確認",
|
||||
NoAccess: "APIキーまたはアクセスパスワードを入力して残高を表示",
|
||||
},
|
||||
|
||||
Model: "モデル (model)",
|
||||
Temperature: {
|
||||
Title: "ランダム性 (temperature)",
|
||||
@@ -176,6 +208,10 @@ const jp: PartialLocaleType = {
|
||||
Title: "話題の頻度 (frequency_penalty)",
|
||||
SubTitle: "値が大きいほど、重複語を低減する可能性が高くなります",
|
||||
},
|
||||
AutoGenerateTitle: {
|
||||
Title: "タイトルの自動生成",
|
||||
SubTitle: "会話内容に基づいて適切なタイトルを生成する",
|
||||
},
|
||||
},
|
||||
Store: {
|
||||
DefaultTopic: "新しいチャット",
|
||||
|
@@ -316,6 +316,23 @@ const pt: PartialLocaleType = {
|
||||
SubTitle: "Verifique sua versão API do console Azure",
|
||||
},
|
||||
},
|
||||
Anthropic: {
|
||||
ApiKey: {
|
||||
Title: "Chave API Anthropic",
|
||||
SubTitle: "Verifique sua chave API do console Anthropic",
|
||||
Placeholder: "Chave API Anthropic",
|
||||
},
|
||||
|
||||
Endpoint: {
|
||||
Title: "Endpoint Address",
|
||||
SubTitle: "Exemplo: ",
|
||||
},
|
||||
|
||||
ApiVerion: {
|
||||
Title: "Versão API (Versão api claude)",
|
||||
SubTitle: "Verifique sua versão API do console Anthropic",
|
||||
},
|
||||
},
|
||||
CustomModel: {
|
||||
Title: "Modelos Personalizados",
|
||||
SubTitle: "Opções de modelo personalizado, separados por vírgula",
|
||||
|
@@ -317,6 +317,23 @@ const sk: PartialLocaleType = {
|
||||
SubTitle: "Skontrolujte svoju verziu API v Azure konzole",
|
||||
},
|
||||
},
|
||||
Anthropic: {
|
||||
ApiKey: {
|
||||
Title: "API kľúč Anthropic",
|
||||
SubTitle: "Skontrolujte svoj API kľúč v Anthropic konzole",
|
||||
Placeholder: "API kľúč Anthropic",
|
||||
},
|
||||
|
||||
Endpoint: {
|
||||
Title: "Adresa koncového bodu",
|
||||
SubTitle: "Príklad:",
|
||||
},
|
||||
|
||||
ApiVerion: {
|
||||
Title: "Verzia API (claude verzia API)",
|
||||
SubTitle: "Vyberte špecifickú verziu časti",
|
||||
},
|
||||
},
|
||||
CustomModel: {
|
||||
Title: "Vlastné modely",
|
||||
SubTitle: "Možnosti vlastného modelu, oddelené čiarkou",
|
||||
@@ -334,7 +351,7 @@ const sk: PartialLocaleType = {
|
||||
SubTitle: "Príklad:",
|
||||
},
|
||||
|
||||
ApiVerion: {
|
||||
ApiVersion: {
|
||||
Title: "Verzia API (gemini-pro verzia API)",
|
||||
SubTitle: "Vyberte špecifickú verziu časti",
|
||||
},
|
||||
|
@@ -1,16 +1,36 @@
|
||||
import { getClientConfig } from "../config/client";
|
||||
import { SubmitKey } from "../store/config";
|
||||
import type { PartialLocaleType } from "./index";
|
||||
|
||||
const tw: PartialLocaleType = {
|
||||
WIP: "該功能仍在開發中……",
|
||||
const isApp = !!getClientConfig()?.isApp;
|
||||
|
||||
const tw = {
|
||||
WIP: "此功能仍在開發中……",
|
||||
Error: {
|
||||
Unauthorized: "目前您的狀態是未授權,請前往[設定頁面](/#/auth)輸入授權碼。",
|
||||
Unauthorized: isApp
|
||||
? "偵測到無效的 API Key,請前往[設定](/#/settings)頁面檢查 API Key 是否設定正確。"
|
||||
: "存取密碼不正確或尚未填寫,請前往[登入](/#/auth)頁面輸入正確的存取密碼,或者在[設定](/#/settings)頁面填入你自己的 OpenAI API Key。",
|
||||
},
|
||||
|
||||
Auth: {
|
||||
Title: "需要密碼",
|
||||
Tips: "管理員開啟了密碼驗證,請在下方填入存取密碼",
|
||||
SubTips: "或者輸入你的 OpenAI 或 Google API 金鑰",
|
||||
Input: "在此處填寫存取密碼",
|
||||
Confirm: "確認",
|
||||
Later: "稍候再說",
|
||||
},
|
||||
ChatItem: {
|
||||
ChatItemCount: (count: number) => `${count} 則對話`,
|
||||
},
|
||||
Chat: {
|
||||
SubTitle: (count: number) => `您已經與 ChatGPT 進行了 ${count} 則對話`,
|
||||
EditMessage: {
|
||||
Title: "編輯訊息記錄",
|
||||
Topic: {
|
||||
Title: "聊天主題",
|
||||
SubTitle: "更改目前聊天主題",
|
||||
},
|
||||
},
|
||||
Actions: {
|
||||
ChatList: "檢視訊息列表",
|
||||
CompressedHistory: "檢視壓縮後的歷史 Prompt",
|
||||
@@ -18,7 +38,33 @@ const tw: PartialLocaleType = {
|
||||
Copy: "複製",
|
||||
Stop: "停止",
|
||||
Retry: "重試",
|
||||
Pin: "固定",
|
||||
PinToastContent: "已將 1 條對話固定至預設提示詞",
|
||||
PinToastAction: "檢視",
|
||||
Delete: "刪除",
|
||||
Edit: "編輯",
|
||||
},
|
||||
Commands: {
|
||||
new: "新建聊天",
|
||||
newm: "從角色範本新建聊天",
|
||||
next: "下一個聊天",
|
||||
prev: "上一個聊天",
|
||||
clear: "清除上下文",
|
||||
del: "刪除聊天",
|
||||
},
|
||||
InputActions: {
|
||||
Stop: "停止回應",
|
||||
ToBottom: "移至最新",
|
||||
Theme: {
|
||||
auto: "自動主題",
|
||||
light: "亮色模式",
|
||||
dark: "深色模式",
|
||||
},
|
||||
Prompt: "快捷指令",
|
||||
Masks: "所有角色範本",
|
||||
Clear: "清除聊天",
|
||||
Settings: "對話設定",
|
||||
UploadImage: "上傳圖片",
|
||||
},
|
||||
Rename: "重新命名對話",
|
||||
Typing: "正在輸入…",
|
||||
@@ -34,13 +80,37 @@ const tw: PartialLocaleType = {
|
||||
Reset: "重設",
|
||||
SaveAs: "另存新檔",
|
||||
},
|
||||
IsContext: "預設提示詞",
|
||||
},
|
||||
Export: {
|
||||
Title: "將聊天記錄匯出為 Markdown",
|
||||
Copy: "複製全部",
|
||||
Download: "下載檔案",
|
||||
Share: "分享到 ShareGPT",
|
||||
MessageFromYou: "來自您的訊息",
|
||||
MessageFromChatGPT: "來自 ChatGPT 的訊息",
|
||||
Format: {
|
||||
Title: "匯出格式",
|
||||
SubTitle: "可以匯出 Markdown 文字檔或者 PNG 圖片",
|
||||
},
|
||||
IncludeContext: {
|
||||
Title: "包含角色範本上下文",
|
||||
SubTitle: "是否在訊息中顯示角色範本上下文",
|
||||
},
|
||||
Steps: {
|
||||
Select: "選取",
|
||||
Preview: "預覽",
|
||||
},
|
||||
Image: {
|
||||
Toast: "正在產生截圖",
|
||||
Modal: "長按或按右鍵儲存圖片",
|
||||
},
|
||||
},
|
||||
Select: {
|
||||
Search: "查詢訊息",
|
||||
All: "選取全部",
|
||||
Latest: "最近幾條",
|
||||
Clear: "清除選取",
|
||||
},
|
||||
Memory: {
|
||||
Title: "上下文記憶 Prompt",
|
||||
@@ -51,7 +121,7 @@ const tw: PartialLocaleType = {
|
||||
ResetConfirm: "重設後將清除目前對話記錄以及歷史記憶,確認重設?",
|
||||
},
|
||||
Home: {
|
||||
NewChat: "新的對話",
|
||||
NewChat: "開新對話",
|
||||
DeleteChat: "確定要刪除選取的對話嗎?",
|
||||
DeleteToast: "已刪除對話",
|
||||
Revert: "撤銷",
|
||||
@@ -60,6 +130,20 @@ const tw: PartialLocaleType = {
|
||||
Title: "設定",
|
||||
SubTitle: "設定選項",
|
||||
|
||||
Danger: {
|
||||
Reset: {
|
||||
Title: "重設所有設定",
|
||||
SubTitle: "重設所有設定項回預設值",
|
||||
Action: "立即重設",
|
||||
Confirm: "確認重設所有設定?",
|
||||
},
|
||||
Clear: {
|
||||
Title: "清除所有資料",
|
||||
SubTitle: "清除所有聊天、設定資料",
|
||||
Action: "立即清除",
|
||||
Confirm: "確認清除所有聊天、設定資料?",
|
||||
},
|
||||
},
|
||||
Lang: {
|
||||
Name: "Language", // ATTENTION: if you wanna add a new translation, please do not translate this value, leave it as `Language`
|
||||
All: "所有語言",
|
||||
@@ -73,6 +157,11 @@ const tw: PartialLocaleType = {
|
||||
Title: "匯入系統提示",
|
||||
SubTitle: "強制在每個請求的訊息列表開頭新增一個模擬 ChatGPT 的系統提示",
|
||||
},
|
||||
InputTemplate: {
|
||||
Title: "使用者輸入預處理",
|
||||
SubTitle: "使用者最新的一則訊息會填充到此範本",
|
||||
},
|
||||
|
||||
Update: {
|
||||
Version: (x: string) => `目前版本:${x}`,
|
||||
IsLatest: "已是最新版本",
|
||||
@@ -88,10 +177,61 @@ const tw: PartialLocaleType = {
|
||||
Title: "預覽氣泡",
|
||||
SubTitle: "在預覽氣泡中預覽 Markdown 內容",
|
||||
},
|
||||
AutoGenerateTitle: {
|
||||
Title: "自動產生標題",
|
||||
SubTitle: "根據對話內容產生合適的標題",
|
||||
},
|
||||
Sync: {
|
||||
CloudState: "雲端資料",
|
||||
NotSyncYet: "還沒有進行過同步",
|
||||
Success: "同步成功",
|
||||
Fail: "同步失敗",
|
||||
|
||||
Config: {
|
||||
Modal: {
|
||||
Title: "設定雲端同步",
|
||||
Check: "檢查可用性",
|
||||
},
|
||||
SyncType: {
|
||||
Title: "同步類型",
|
||||
SubTitle: "選擇偏好的同步伺服器",
|
||||
},
|
||||
Proxy: {
|
||||
Title: "啟用代理伺服器",
|
||||
SubTitle: "在瀏覽器中同步時,啟用代理伺服器以避免跨域限制",
|
||||
},
|
||||
ProxyUrl: {
|
||||
Title: "代理伺服器位置",
|
||||
SubTitle: "僅適用於本專案內建的跨域代理",
|
||||
},
|
||||
|
||||
WebDav: {
|
||||
Endpoint: "WebDAV 位置",
|
||||
UserName: "使用者名稱",
|
||||
Password: "密碼",
|
||||
},
|
||||
|
||||
UpStash: {
|
||||
Endpoint: "UpStash Redis REST Url",
|
||||
UserName: "備份名稱",
|
||||
Password: "UpStash Redis REST Token",
|
||||
},
|
||||
},
|
||||
|
||||
LocalState: "本機資料",
|
||||
Overview: (overview: any) => {
|
||||
return `${overview.chat} 次對話,${overview.message} 則訊息,${overview.prompt} 條提示詞,${overview.mask} 個角色範本`;
|
||||
},
|
||||
ImportFailed: "匯入失敗",
|
||||
},
|
||||
Mask: {
|
||||
Splash: {
|
||||
Title: "面具啟動頁面",
|
||||
SubTitle: "新增聊天時,呈現面具啟動頁面",
|
||||
Title: "角色範本啟動頁面",
|
||||
SubTitle: "新增聊天時,呈現角色範本啟動頁面",
|
||||
},
|
||||
Builtin: {
|
||||
Title: "隱藏內建角色範本",
|
||||
SubTitle: "在所有角色範本列表中隱藏內建角色範本",
|
||||
},
|
||||
},
|
||||
Prompt: {
|
||||
@@ -99,13 +239,13 @@ const tw: PartialLocaleType = {
|
||||
Title: "停用提示詞自動補齊",
|
||||
SubTitle: "在輸入框開頭輸入 / 即可觸發自動補齊",
|
||||
},
|
||||
List: "自定義提示詞列表",
|
||||
List: "自訂提示詞列表",
|
||||
ListCount: (builtin: number, custom: number) =>
|
||||
`內建 ${builtin} 條,使用者定義 ${custom} 條`,
|
||||
`內建 ${builtin} 條,使用者自訂 ${custom} 條`,
|
||||
Edit: "編輯",
|
||||
Modal: {
|
||||
Title: "提示詞列表",
|
||||
Add: "新增一條",
|
||||
Add: "新增一則",
|
||||
Search: "搜尋提示詞",
|
||||
},
|
||||
EditModal: {
|
||||
@@ -131,11 +271,98 @@ const tw: PartialLocaleType = {
|
||||
NoAccess: "輸入 API Key 檢視餘額",
|
||||
},
|
||||
|
||||
Access: {
|
||||
AccessCode: {
|
||||
Title: "存取密碼",
|
||||
SubTitle: "管理員已開啟加密存取",
|
||||
Placeholder: "請輸入存取密碼",
|
||||
},
|
||||
CustomEndpoint: {
|
||||
Title: "自訂 API 端點 (Endpoint)",
|
||||
SubTitle: "是否使用自訂 Azure 或 OpenAI 服務",
|
||||
},
|
||||
Provider: {
|
||||
Title: "模型供應商",
|
||||
SubTitle: "切換不同的服務供應商",
|
||||
},
|
||||
OpenAI: {
|
||||
ApiKey: {
|
||||
Title: "API Key",
|
||||
SubTitle: "使用自訂 OpenAI Key 繞過密碼存取限制",
|
||||
Placeholder: "OpenAI API Key",
|
||||
},
|
||||
|
||||
Endpoint: {
|
||||
Title: "API 端點 (Endpoint) 位址",
|
||||
SubTitle: "除預設位址外,必須包含 http(s)://",
|
||||
},
|
||||
},
|
||||
Azure: {
|
||||
ApiKey: {
|
||||
Title: "API 金鑰",
|
||||
SubTitle: "使用自訂 Azure Key 繞過密碼存取限制",
|
||||
Placeholder: "Azure API Key",
|
||||
},
|
||||
|
||||
Endpoint: {
|
||||
Title: "API 端點 (Endpoint) 位址",
|
||||
SubTitle: "範例:",
|
||||
},
|
||||
|
||||
ApiVerion: {
|
||||
Title: "API 版本 (azure api version)",
|
||||
SubTitle: "指定一個特定的 API 版本",
|
||||
},
|
||||
},
|
||||
Anthropic: {
|
||||
ApiKey: {
|
||||
Title: "API 金鑰",
|
||||
SubTitle: "從 Anthropic AI 取得您的 API 金鑰",
|
||||
Placeholder: "Anthropic API Key",
|
||||
},
|
||||
|
||||
Endpoint: {
|
||||
Title: "端點位址",
|
||||
SubTitle: "範例:",
|
||||
},
|
||||
|
||||
ApiVerion: {
|
||||
Title: "API 版本 (claude api version)",
|
||||
SubTitle: "指定一個特定的 API 版本",
|
||||
},
|
||||
},
|
||||
Google: {
|
||||
ApiKey: {
|
||||
Title: "API 金鑰",
|
||||
SubTitle: "從 Google AI 取得您的 API 金鑰",
|
||||
Placeholder: "輸入您的 Google AI Studio API 金鑰",
|
||||
},
|
||||
|
||||
Endpoint: {
|
||||
Title: "端點位址",
|
||||
SubTitle: "範例:",
|
||||
},
|
||||
|
||||
ApiVersion: {
|
||||
Title: "API 版本(僅適用於 gemini-pro)",
|
||||
SubTitle: "選擇一個特定的 API 版本",
|
||||
},
|
||||
},
|
||||
CustomModel: {
|
||||
Title: "自訂模型名稱",
|
||||
SubTitle: "增加自訂模型可選擇項目,使用英文逗號隔開",
|
||||
},
|
||||
},
|
||||
|
||||
Model: "模型 (model)",
|
||||
Temperature: {
|
||||
Title: "隨機性 (temperature)",
|
||||
SubTitle: "值越大,回應越隨機",
|
||||
},
|
||||
TopP: {
|
||||
Title: "核心採樣 (top_p)",
|
||||
SubTitle: "與隨機性類似,但不要和隨機性一起更改",
|
||||
},
|
||||
MaxTokens: {
|
||||
Title: "單次回應限制 (max_tokens)",
|
||||
SubTitle: "單次互動所用的最大 Token 數",
|
||||
@@ -166,19 +393,25 @@ const tw: PartialLocaleType = {
|
||||
Success: "已複製到剪貼簿中",
|
||||
Failed: "複製失敗,請賦予剪貼簿權限",
|
||||
},
|
||||
Download: {
|
||||
Success: "內容已下載到您的目錄。",
|
||||
Failed: "下載失敗。",
|
||||
},
|
||||
Context: {
|
||||
Toast: (x: any) => `已設定 ${x} 條前置上下文`,
|
||||
Edit: "前置上下文和歷史記憶",
|
||||
Add: "新增一條",
|
||||
Add: "新增一則",
|
||||
Clear: "上下文已清除",
|
||||
Revert: "恢復上下文",
|
||||
},
|
||||
Plugin: { Name: "外掛" },
|
||||
FineTuned: { Sysmessage: "你是一個助手" },
|
||||
Mask: {
|
||||
Name: "面具",
|
||||
Name: "角色範本",
|
||||
Page: {
|
||||
Title: "預設角色面具",
|
||||
Title: "預設角色角色範本",
|
||||
SubTitle: (count: number) => `${count} 個預設角色定義`,
|
||||
Search: "搜尋角色面具",
|
||||
Search: "搜尋角色角色範本",
|
||||
Create: "新增",
|
||||
},
|
||||
Item: {
|
||||
@@ -191,23 +424,41 @@ const tw: PartialLocaleType = {
|
||||
},
|
||||
EditModal: {
|
||||
Title: (readonly: boolean) =>
|
||||
`編輯預設面具 ${readonly ? "(只讀)" : ""}`,
|
||||
Download: "下載預設",
|
||||
Clone: "複製預設",
|
||||
`編輯預設角色範本 ${readonly ? "(唯讀)" : ""}`,
|
||||
Download: "下載預設值",
|
||||
Clone: "以此預設值建立副本",
|
||||
},
|
||||
Config: {
|
||||
Avatar: "角色頭像",
|
||||
Name: "角色名稱",
|
||||
Sync: {
|
||||
Title: "使用全域設定",
|
||||
SubTitle: "目前對話是否使用全域模型設定",
|
||||
Confirm: "目前對話的自訂設定將會被自動覆蓋,確認啟用全域設定?",
|
||||
},
|
||||
HideContext: {
|
||||
Title: "隱藏預設對話",
|
||||
SubTitle: "隱藏後預設對話不會出現在聊天介面",
|
||||
},
|
||||
Share: {
|
||||
Title: "分享此角色範本",
|
||||
SubTitle: "產生此角色範本的直達連結",
|
||||
Action: "複製連結",
|
||||
},
|
||||
},
|
||||
},
|
||||
NewChat: {
|
||||
Return: "返回",
|
||||
Skip: "跳過",
|
||||
Title: "挑選一個面具",
|
||||
SubTitle: "現在開始,與面具背後的靈魂思維碰撞",
|
||||
More: "搜尋更多",
|
||||
NotShow: "不再呈現",
|
||||
NotShow: "不再顯示",
|
||||
ConfirmNoShow: "確認停用?停用後可以隨時在設定中重新啟用。",
|
||||
Title: "挑選一個角色範本",
|
||||
SubTitle: "現在開始,與角色範本背後的靈魂思維碰撞",
|
||||
More: "搜尋更多",
|
||||
},
|
||||
URLCommand: {
|
||||
Code: "偵測到連結中已經包含存取密碼,是否自動填入?",
|
||||
Settings: "偵測到連結中包含了預設設定,是否自動填入?",
|
||||
},
|
||||
UI: {
|
||||
Confirm: "確認",
|
||||
@@ -215,8 +466,15 @@ const tw: PartialLocaleType = {
|
||||
Close: "關閉",
|
||||
Create: "新增",
|
||||
Edit: "編輯",
|
||||
Export: "匯出",
|
||||
Import: "匯入",
|
||||
Sync: "同步",
|
||||
Config: "設定",
|
||||
},
|
||||
Exporter: {
|
||||
Description: {
|
||||
Title: "只有清除上下文之後的訊息會被顯示",
|
||||
},
|
||||
Model: "模型",
|
||||
Messages: "訊息",
|
||||
Topic: "主題",
|
||||
@@ -224,4 +482,14 @@ const tw: PartialLocaleType = {
|
||||
},
|
||||
};
|
||||
|
||||
type DeepPartial<T> = T extends object
|
||||
? {
|
||||
[P in keyof T]?: DeepPartial<T[P]>;
|
||||
}
|
||||
: T;
|
||||
|
||||
export type LocaleType = typeof tw;
|
||||
export type PartialLocaleType = DeepPartial<typeof tw>;
|
||||
|
||||
export default tw;
|
||||
// Translated by @chunkiuuu, feel free the submit new pr if there are typo/incorrect translations :D
|
||||
|
25
app/masks/build.ts
Normal file
@@ -0,0 +1,25 @@
|
||||
import fs from "fs";
|
||||
import path from "path";
|
||||
import { CN_MASKS } from "./cn";
|
||||
import { TW_MASKS } from "./tw";
|
||||
import { EN_MASKS } from "./en";
|
||||
|
||||
import { type BuiltinMask } from "./typing";
|
||||
|
||||
const BUILTIN_MASKS: Record<string, BuiltinMask[]> = {
|
||||
cn: CN_MASKS,
|
||||
tw: TW_MASKS,
|
||||
en: EN_MASKS,
|
||||
};
|
||||
|
||||
const dirname = path.dirname(__filename);
|
||||
|
||||
fs.writeFile(
|
||||
dirname + "/../../public/masks.json",
|
||||
JSON.stringify(BUILTIN_MASKS, null, 4),
|
||||
function (error) {
|
||||
if (error) {
|
||||
console.error("[Build] failed to build masks", error);
|
||||
}
|
||||
},
|
||||
);
|