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1 Commits

Author SHA1 Message Date
suyao
92ba7089bb feat: implement default parameter configuration for MCP tools
- Added functionality to apply default parameters to tool arguments in MCPService.
- Introduced UI components for managing tool parameter configurations in MCPSettings.
- Updated translations for new settings and tool configurations across multiple languages.
- Enhanced MCPToolsSection to allow editing and saving of tool parameter defaults.
2025-05-25 03:19:21 +08:00
1657 changed files with 63849 additions and 283793 deletions

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@@ -1,9 +1,9 @@
root = true
[*]
charset = utf-8
indent_style = space
indent_size = 2
end_of_line = lf
insert_final_newline = true
trim_trailing_whitespace = true
root = true
[*]
charset = utf-8
indent_style = space
indent_size = 2
end_of_line = lf
insert_final_newline = true
trim_trailing_whitespace = true

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@@ -1,8 +0,0 @@
NODE_OPTIONS=--max-old-space-size=8000
API_KEY="sk-xxx"
BASE_URL="https://api.siliconflow.cn/v1/"
MODEL="Qwen/Qwen3-235B-A22B-Instruct-2507"
CSLOGGER_MAIN_LEVEL=info
CSLOGGER_RENDERER_LEVEL=info
#CSLOGGER_MAIN_SHOW_MODULES=
#CSLOGGER_RENDERER_SHOW_MODULES=

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@@ -1,2 +0,0 @@
# ignore #7923 eol change and code formatting
4ac8a388347ff35f34de42c3ef4a2f81f03fb3b1

1
.gitattributes vendored
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@@ -1,3 +1,2 @@
* text=auto eol=lf
/.yarn/** linguist-vendored
/.yarn/releases/* binary

4
.github/CODEOWNERS vendored
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@@ -1,4 +0,0 @@
/src/renderer/src/store/ @0xfullex
/src/main/services/ConfigManager.ts @0xfullex
/packages/shared/IpcChannel.ts @0xfullex
/src/main/ipc.ts @0xfullex

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@@ -0,0 +1,92 @@
name: 🐛 错误报告 (中文)
description: 创建一个报告以帮助我们改进
title: '[错误]: '
labels: ['kind/bug']
body:
- type: markdown
attributes:
value: |
感谢您花时间填写此错误报告!
在提交此问题之前,请确保您已经了解了[常见问题](https://docs.cherry-ai.com/question-contact/questions)和[知识科普](https://docs.cherry-ai.com/question-contact/knowledge)
- type: checkboxes
id: checklist
attributes:
label: 提交前检查
description: |
在提交 Issue 前请确保您已经完成了以下所有步骤
options:
- label: 我理解 Issue 是用于反馈和解决问题的,而非吐槽评论区,将尽可能提供更多信息帮助问题解决。
required: true
- label: 我的问题不是 [常见问题](https://github.com/CherryHQ/cherry-studio/issues/3881) 中的内容。
required: true
- label: 我已经查看了 **置顶 Issue** 并搜索了现有的 [开放Issue](https://github.com/CherryHQ/cherry-studio/issues)和[已关闭Issue](https://github.com/CherryHQ/cherry-studio/issues?q=is%3Aissue%20state%3Aclosed%20),没有找到类似的问题。
required: true
- label: 我填写了简短且清晰明确的标题,以便开发者在翻阅 Issue 列表时能快速确定大致问题。而不是“一个建议”、“卡住了”等。
required: true
- type: dropdown
id: platform
attributes:
label: 平台
description: 您正在使用哪个平台?
options:
- Windows
- macOS
- Linux
validations:
required: true
- type: input
id: version
attributes:
label: 版本
description: 您正在运行的 Cherry Studio 版本是什么?
placeholder: 例如 v1.0.0
validations:
required: true
- type: textarea
id: description
attributes:
label: 错误描述
description: 描述问题时请尽可能详细。请尽可能提供截图或屏幕录制,以帮助我们更好地理解问题。
placeholder: 告诉我们发生了什么...(记得附上截图/录屏,如果适用)
validations:
required: true
- type: textarea
id: reproduction
attributes:
label: 重现步骤
description: 提供详细的重现步骤,以便于我们的开发人员可以准确地重现问题。请尽可能为每个步骤提供截图或屏幕录制。
placeholder: |
1. 转到 '...'
2. 点击 '....'
3. 向下滚动到 '....'
4. 看到错误
记得尽可能为每个步骤附上截图/录屏!
validations:
required: true
- type: textarea
id: expected
attributes:
label: 预期行为
description: 清晰简洁地描述您期望发生的事情
validations:
required: true
- type: textarea
id: logs
attributes:
label: 相关日志输出
description: 请复制并粘贴任何相关的日志输出
render: shell
- type: textarea
id: additional
attributes:
label: 附加信息
description: 任何能让我们对你所遇到的问题有更多了解的东西

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@@ -0,0 +1,76 @@
name: 💡 功能建议 (中文)
description: 为项目提出新的想法
title: '[功能]: '
labels: ['kind/enhancement']
body:
- type: markdown
attributes:
value: |
感谢您花时间提出新的功能建议!
在提交此问题之前,请确保您已经了解了[项目规划](https://docs.cherry-ai.com/cherrystudio/planning)和[功能介绍](https://docs.cherry-ai.com/cherrystudio/preview)
- type: checkboxes
id: checklist
attributes:
label: 提交前检查
description: |
在提交 Issue 前请确保您已经完成了以下所有步骤
options:
- label: 我理解 Issue 是用于反馈和解决问题的,而非吐槽评论区,将尽可能提供更多信息帮助问题解决。
required: true
- label: 我已经查看了置顶 Issue 并搜索了现有的 [开放Issue](https://github.com/CherryHQ/cherry-studio/issues)和[已关闭Issue](https://github.com/CherryHQ/cherry-studio/issues?q=is%3Aissue%20state%3Aclosed%20),没有找到类似的建议。
required: true
- label: 我填写了简短且清晰明确的标题,以便开发者在翻阅 Issue 列表时能快速确定大致问题。而不是“一个建议”、“卡住了”等。
required: true
- label: 最新的 Cherry Studio 版本没有实现我所提出的功能。
required: true
- type: dropdown
id: platform
attributes:
label: 平台
description: 您正在使用哪个平台?
options:
- Windows
- macOS
- Linux
validations:
required: true
- type: input
id: version
attributes:
label: 版本
description: 您正在运行的 Cherry Studio 版本是什么?
placeholder: 例如 v1.0.0
validations:
required: true
- type: textarea
id: problem
attributes:
label: 您的功能建议是否与某个问题/issue相关?
description: 请简明扼要地描述您遇到的问题
placeholder: 我总是感到沮丧,因为...
validations:
required: true
- type: textarea
id: solution
attributes:
label: 请描述您希望实现的解决方案
description: 请简明扼要地描述您希望发生的情况
validations:
required: true
- type: textarea
id: alternatives
attributes:
label: 请描述您考虑过的其他方案
description: 请简明扼要地描述您考虑过的任何其他解决方案或功能
- type: textarea
id: additional
attributes:
label: 其他补充信息
description: 在此添加任何其他与功能建议相关的上下文或截图

77
.github/ISSUE_TEMPLATE/#2_question.yml vendored Normal file
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@@ -0,0 +1,77 @@
name: ❓ 提问 & 讨论 (中文)
description: 寻求帮助、讨论问题、提出疑问等...
title: '[讨论]: '
labels: ['kind/question']
body:
- type: markdown
attributes:
value: |
感谢您的提问!请尽可能详细地描述您的问题,这样我们才能更好地帮助您。
- type: checkboxes
id: checklist
attributes:
label: Issue 检查清单
description: |
在提交 Issue 前请确保您已经完成了以下所有步骤
options:
- label: 我理解 Issue 是用于反馈和解决问题的,而非吐槽评论区,将尽可能提供更多信息帮助问题解决。
required: true
- label: 我确认自己需要的是提出问题并且讨论问题,而不是 Bug 反馈或需求建议。
required: true
- type: dropdown
id: platform
attributes:
label: 平台
description: 您正在使用哪个平台?
options:
- Windows
- macOS
- Linux
validations:
required: true
- type: input
id: version
attributes:
label: 版本
description: 您正在运行的 Cherry Studio 版本是什么?
placeholder: 例如 v1.0.0
validations:
required: true
- type: textarea
id: question
attributes:
label: 您的问题
description: 请详细描述您的问题
placeholder: 请尽可能清楚地说明您的问题...
validations:
required: true
- type: textarea
id: context
attributes:
label: 相关背景
description: 请提供一些背景信息,帮助我们更好地理解您的问题
placeholder: 例如:使用场景、已尝试的解决方案等
- type: textarea
id: additional
attributes:
label: 补充信息
description: 任何其他相关的信息、截图或代码示例
render: shell
- type: dropdown
id: priority
attributes:
label: 优先级
description: 这个问题对您来说有多紧急?
options:
- 低 (有空再看)
- 中 (希望尽快得到答复)
- 高 (阻碍工作进行)
validations:
required: true

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@@ -0,0 +1,76 @@
name: 🤔 其他问题 (中文)
description: 提交不属于错误报告或功能需求的问题
title: '[其他]: '
body:
- type: markdown
attributes:
value: |
感谢您花时间提出问题!
在提交此问题之前,请确保您已经了解了[常见问题](https://docs.cherry-ai.com/question-contact/questions)和[知识科普](https://docs.cherry-ai.com/question-contact/knowledge)
- type: checkboxes
id: checklist
attributes:
label: 提交前检查
description: |
在提交 Issue 前请确保您已经完成了以下所有步骤
options:
- label: 我理解 Issue 是用于反馈和解决问题的,而非吐槽评论区,将尽可能提供更多信息帮助问题解决。
required: true
- label: 我已经查看了置顶 Issue 并搜索了现有的 [开放Issue](https://github.com/CherryHQ/cherry-studio/issues)和[已关闭Issue](https://github.com/CherryHQ/cherry-studio/issues?q=is%3Aissue%20state%3Aclosed%20),没有找到类似的问题。
required: true
- label: 我填写了简短且清晰明确的标题,以便开发者在翻阅 Issue 列表时能快速确定大致问题。而不是"一个问题"、"求助"等。
required: true
- label: 我的问题不属于错误报告或功能需求类别。
required: true
- type: dropdown
id: platform
attributes:
label: 平台
description: 您正在使用哪个平台?
options:
- Windows
- macOS
- Linux
validations:
required: true
- type: input
id: version
attributes:
label: 版本
description: 您正在运行的 Cherry Studio 版本是什么?
placeholder: 例如 v1.0.0
validations:
required: true
- type: textarea
id: question
attributes:
label: 问题描述
description: 请详细描述您的问题或疑问
placeholder: 我想了解有关...的更多信息
validations:
required: true
- type: textarea
id: context
attributes:
label: 相关背景
description: 请提供与您的问题相关的任何背景信息或上下文
placeholder: 我尝试实现...时遇到了疑问
validations:
required: true
- type: textarea
id: attempts
attributes:
label: 您已尝试的方法
description: 请描述您为解决问题已经尝试过的方法(如果有)
- type: textarea
id: additional
attributes:
label: 附加信息
description: 任何能让我们对您的问题有更多了解的信息,包括截图或相关链接

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@@ -1,7 +1,7 @@
name: 🐛 Bug Report (English)
description: Create a report to help us improve
title: '[Bug]: '
labels: ['BUG']
labels: ['kind/bug']
body:
- type: markdown
attributes:
@@ -24,8 +24,6 @@ body:
required: true
- label: I've filled in short, clear headings so that developers can quickly identify a rough idea of what to expect when flipping through the list of issues. And not "a suggestion", "stuck", etc.
required: true
- label: I've confirmed that I am using the latest version of Cherry Studio.
required: true
- type: dropdown
id: platform

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@@ -1,7 +1,7 @@
name: 💡 Feature Request (English)
description: Suggest an idea for this project
title: '[Feature]: '
labels: ['feature']
labels: ['kind/enhancement']
body:
- type: markdown
attributes:

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@@ -1,7 +1,7 @@
name: ❓ Questions & Discussion
description: Seeking help, discussing issues, asking questions, etc...
title: '[Discussion]: '
labels: ['discussion', 'help wanted']
labels: ['kind/question']
body:
- type: markdown
attributes:

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@@ -73,4 +73,4 @@ body:
id: additional
attributes:
label: Additional Information
description: Any other information that could help us better understand your question, including screenshots or relevant links
description: Any other information that could help us better understand your question, including screenshots or relevant links

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@@ -1,17 +1,86 @@
version: 2
updates:
- package-ecosystem: 'github-actions'
directory: '/'
- package-ecosystem: "npm"
directory: "/"
schedule:
interval: 'monthly'
interval: "monthly"
open-pull-requests-limit: 7
target-branch: "main"
commit-message:
prefix: "chore"
include: "scope"
groups:
# 核心框架
core-framework:
patterns:
- "react"
- "react-dom"
- "electron"
- "typescript"
- "@types/react*"
- "@types/node"
update-types:
- "minor"
- "patch"
# Electron 生态和构建工具
electron-build:
patterns:
- "electron-*"
- "@electron*"
- "vite"
- "@vitejs/*"
- "dotenv-cli"
- "rollup-plugin-*"
- "@swc/*"
update-types:
- "minor"
- "patch"
# 测试工具
testing-tools:
patterns:
- "vitest"
- "@vitest/*"
- "playwright"
- "@playwright/*"
- "eslint*"
- "@eslint*"
- "prettier"
- "husky"
- "lint-staged"
update-types:
- "minor"
- "patch"
# CherryStudio 自定义包
cherrystudio-packages:
patterns:
- "@cherrystudio/*"
update-types:
- "minor"
- "patch"
# 兜底其他 dependencies
other-dependencies:
dependency-type: "production"
# 兜底其他 devDependencies
other-dev-dependencies:
dependency-type: "development"
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "weekly"
open-pull-requests-limit: 3
commit-message:
prefix: 'ci'
include: 'scope'
prefix: "ci"
include: "scope"
groups:
github-actions:
patterns:
- '*'
- "*"
update-types:
- 'minor'
- 'patch'
- "minor"
- "patch"

252
.github/issue-checker.yml vendored Normal file
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default-mode:
add:
remove: [pull_request_target, issues]
labels:
# <!-- [Ss]kip `LABEL` --> 跳过一个 label
# <!-- [Rr]emove `LABEL` --> 去掉一个 label
# skips and removes
- name: skip all
content:
regexes: "[Ss]kip (?:[Aa]ll |)[Ll]abels?"
- name: remove all
content:
regexes: "[Rr]emove (?:[Aa]ll |)[Ll]abels?"
- name: skip kind/bug
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)kind/bug(?:`|)"
- name: remove kind/bug
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)kind/bug(?:`|)"
- name: skip kind/enhancement
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)kind/enhancement(?:`|)"
- name: remove kind/enhancement
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)kind/enhancement(?:`|)"
- name: skip kind/question
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)kind/question(?:`|)"
- name: remove kind/question
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)kind/question(?:`|)"
- name: skip area/Connectivity
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)area/Connectivity(?:`|)"
- name: remove area/Connectivity
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)area/Connectivity(?:`|)"
- name: skip area/UI/UX
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)area/UI/UX(?:`|)"
- name: remove area/UI/UX
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)area/UI/UX(?:`|)"
- name: skip kind/documentation
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)kind/documentation(?:`|)"
- name: remove kind/documentation
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)kind/documentation(?:`|)"
- name: skip client:linux
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)client:linux(?:`|)"
- name: remove client:linux
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)client:linux(?:`|)"
- name: skip client:mac
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)client:mac(?:`|)"
- name: remove client:mac
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)client:mac(?:`|)"
- name: skip client:win
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)client:win(?:`|)"
- name: remove client:win
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)client:win(?:`|)"
- name: skip sig/Assistant
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)sig/Assistant(?:`|)"
- name: remove sig/Assistant
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)sig/Assistant(?:`|)"
- name: skip sig/Data
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)sig/Data(?:`|)"
- name: remove sig/Data
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)sig/Data(?:`|)"
- name: skip sig/MCP
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)sig/MCP(?:`|)"
- name: remove sig/MCP
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)sig/MCP(?:`|)"
- name: skip sig/RAG
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)sig/RAG(?:`|)"
- name: remove sig/RAG
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)sig/RAG(?:`|)"
- name: skip lgtm
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)lgtm(?:`|)"
- name: remove lgtm
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)lgtm(?:`|)"
- name: skip License
content:
regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)License(?:`|)"
- name: remove License
content:
regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)License(?:`|)"
# `Dev Team`
- name: Dev Team
mode:
add: [pull_request_target, issues]
author_association:
- COLLABORATOR
# Area labels
- name: area/Connectivity
content: area/Connectivity
regexes: "代理|[Pp]roxy"
skip-if:
- skip all
- skip area/Connectivity
remove-if:
- remove all
- remove area/Connectivity
- name: area/UI/UX
content: area/UI/UX
regexes: "界面|[Uu][Ii]|重叠|按钮|图标|组件|渲染|菜单|栏目|头像|主题|样式|[Cc][Ss][Ss]"
skip-if:
- skip all
- skip area/UI/UX
remove-if:
- remove all
- remove area/UI/UX
# Kind labels
- name: kind/documentation
content: kind/documentation
regexes: "文档|教程|[Dd]oc(s|umentation)|[Rr]eadme"
skip-if:
- skip all
- skip kind/documentation
remove-if:
- remove all
- remove kind/documentation
# Client labels
- name: client:linux
content: client:linux
regexes: "(?:[Ll]inux|[Uu]buntu|[Dd]ebian)"
skip-if:
- skip all
- skip client:linux
remove-if:
- remove all
- remove client:linux
- name: client:mac
content: client:mac
regexes: "(?:[Mm]ac|[Mm]acOS|[Oo]SX)"
skip-if:
- skip all
- skip client:mac
remove-if:
- remove all
- remove client:mac
- name: client:win
content: client:win
regexes: "(?:[Ww]in|[Ww]indows)"
skip-if:
- skip all
- skip client:win
remove-if:
- remove all
- remove client:win
# SIG labels
- name: sig/Assistant
content: sig/Assistant
regexes: "快捷助手|[Aa]ssistant"
skip-if:
- skip all
- skip sig/Assistant
remove-if:
- remove all
- remove sig/Assistant
- name: sig/Data
content: sig/Data
regexes: "[Ww]ebdav|坚果云|备份|同步|数据|Obsidian|Notion|Joplin|思源"
skip-if:
- skip all
- skip sig/Data
remove-if:
- remove all
- remove sig/Data
- name: sig/MCP
content: sig/MCP
regexes: "[Mm][Cc][Pp]"
skip-if:
- skip all
- skip sig/MCP
remove-if:
- remove all
- remove sig/MCP
- name: sig/RAG
content: sig/RAG
regexes: "知识库|[Rr][Aa][Gg]"
skip-if:
- skip all
- skip sig/RAG
remove-if:
- remove all
- remove sig/RAG
# Other labels
- name: lgtm
content: lgtm
regexes: "(?:[Ll][Gg][Tt][Mm]|[Ll]ooks [Gg]ood [Tt]o [Mm]e)"
skip-if:
- skip all
- skip lgtm
remove-if:
- remove all
- remove lgtm
- name: License
content: License
regexes: "(?:[Ll]icense|[Cc]opyright|[Mm][Ii][Tt]|[Aa]pache)"
skip-if:
- skip all
- skip License
remove-if:
- remove all
- remove License

View File

@@ -1,66 +0,0 @@
name: Auto I18N
env:
TRANSLATION_API_KEY: ${{ secrets.TRANSLATE_API_KEY }}
TRANSLATION_MODEL: ${{ vars.AUTO_I18N_MODEL || 'deepseek/deepseek-v3.1'}}
TRANSLATION_BASE_URL: ${{ vars.AUTO_I18N_BASE_URL || 'https://api.ppinfra.com/openai'}}
on:
pull_request:
types: [opened, synchronize, reopened]
workflow_dispatch:
jobs:
auto-i18n:
runs-on: ubuntu-latest
if: github.event_name == 'workflow_dispatch' || github.event.pull_request.head.repo.full_name == 'CherryHQ/cherry-studio'
name: Auto I18N
permissions:
contents: write
pull-requests: write
steps:
- name: 🐈‍⬛ Checkout
uses: actions/checkout@v5
with:
ref: ${{ github.event.pull_request.head.ref }}
- name: 📦 Setting Node.js
uses: actions/setup-node@v5
with:
node-version: 20
- name: 📦 Install dependencies in isolated directory
run: |
# 在临时目录安装依赖
mkdir -p /tmp/translation-deps
cd /tmp/translation-deps
echo '{"dependencies": {"@cherrystudio/openai": "^6.5.0", "cli-progress": "^3.12.0", "tsx": "^4.20.3", "@biomejs/biome": "2.2.4"}}' > package.json
npm install --no-package-lock
# 设置 NODE_PATH 让项目能找到这些依赖
echo "NODE_PATH=/tmp/translation-deps/node_modules" >> $GITHUB_ENV
- name: 🏃‍♀️ Translate
run: npx tsx scripts/sync-i18n.ts && npx tsx scripts/auto-translate-i18n.ts
- name: 🔍 Format
run: cd /tmp/translation-deps && npx biome format --config-path /home/runner/work/cherry-studio/cherry-studio/biome.jsonc --write /home/runner/work/cherry-studio/cherry-studio/src/renderer/src/i18n/
- name: 🔄 Commit changes
run: |
git config --local user.email "action@github.com"
git config --local user.name "GitHub Action"
git add .
git reset -- package.json yarn.lock # 不提交 package.json 和 yarn.lock 的更改
if git diff --cached --quiet; then
echo "No changes to commit"
else
git commit -m "fix(i18n): Auto update translations for PR #${{ github.event.pull_request.number }}"
fi
- name: 🚀 Push changes
uses: ad-m/github-push-action@master
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
branch: ${{ github.event.pull_request.head.ref }}

View File

@@ -1,56 +0,0 @@
name: Claude Code Review
on:
pull_request:
types: [opened]
# Optional: Only run on specific file changes
# paths:
# - "src/**/*.ts"
# - "src/**/*.tsx"
# - "src/**/*.js"
# - "src/**/*.jsx"
jobs:
claude-review:
# Only trigger code review for PRs from the main repository due to upstream OIDC issues
# https://github.com/anthropics/claude-code-action/issues/542
if: |
(github.event.pull_request.head.repo.full_name == github.repository) &&
(github.event.pull_request.draft == false)
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write
issues: read
id-token: write
actions: read
steps:
- name: Checkout repository
uses: actions/checkout@v5
with:
fetch-depth: 1
- name: Run Claude Code Review
id: claude-review
uses: anthropics/claude-code-action@v1
with:
claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
prompt: |
Please review this pull request and provide feedback on:
- Code quality and best practices
- Potential bugs or issues
- Performance considerations
- Security concerns
- Test coverage
PR number: ${{ github.event.number }}
Repo: ${{ github.repository }}
Use the repository's CLAUDE.md for guidance on style and conventions. Be constructive and helpful in your feedback.
Use `gh pr comment` with your Bash tool to leave your review as a comment on the PR.
# See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
# or https://docs.anthropic.com/en/docs/claude-code/sdk#command-line for available options
claude_args: '--allowed-tools "Bash(gh issue view:*),Bash(gh search:*),Bash(gh issue list:*),Bash(gh pr comment:*),Bash(gh pr diff:*),Bash(gh pr view:*),Bash(gh pr list:*)"'

View File

@@ -1,112 +0,0 @@
name: Claude Translator
concurrency:
group: translator-${{ github.event.comment.id || github.event.issue.number || github.event.review.id }}
cancel-in-progress: false
on:
issues:
types: [opened]
issue_comment:
types: [created, edited]
pull_request_review:
types: [submitted, edited]
pull_request_review_comment:
types: [created, edited]
jobs:
translate:
if: |
(github.event_name == 'issues')
|| (github.event_name == 'issue_comment' && github.event.sender.type != 'Bot')
|| (
(github.event_name == 'pull_request_review' || github.event_name == 'pull_request_review_comment')
&& github.event.sender.type != 'Bot'
&& github.event.pull_request.head.repo.fork == false
)
runs-on: ubuntu-latest
permissions:
contents: read
issues: write # 编辑issues/comments
pull-requests: write
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v5
with:
fetch-depth: 1
- name: Run Claude for translation
uses: anthropics/claude-code-action@main
id: claude
with:
# Warning: Permissions should have been controlled by workflow permission.
# Now `contents: read` is safe for files, but we could make a fine-grained token to control it.
# See: https://github.com/anthropics/claude-code-action/blob/main/docs/security.md
github_token: ${{ secrets.TOKEN_GITHUB_WRITE }}
allowed_non_write_users: "*"
anthropic_api_key: ${{ secrets.CLAUDE_TRANSLATOR_APIKEY }}
claude_args: "--allowed-tools Bash(gh issue:*),Bash(gh api:repos/*/issues:*),Bash(gh api:repos/*/pulls/*/reviews/*),Bash(gh api:repos/*/pulls/comments/*)"
prompt: |
你是一个多语言翻译助手。你需要响应 GitHub Webhooks 中的以下四种事件:
- issues
- issue_comment
- pull_request_review
- pull_request_review_comment
请完成以下任务:
1. 获取当前事件的完整信息。
- 如果当前事件是 issues就获取该 issues 的信息。
- 如果当前事件是 issue_comment就获取该 comment 的信息。
- 如果当前事件是 pull_request_review就获取该 review 的信息。
- 如果当前事件是 pull_request_review_comment就获取该 comment 的信息。
2. 智能检测内容。
- 如果获取到的信息是已经遵循格式要求翻译过的内容,则检查翻译内容和原始内容是否匹配。若不匹配,则重新翻译一次令其匹配,并遵循格式要求;
- 如果获取到的信息是未翻译过的内容,检查其内容语言。若不是英文,则翻译成英文;
- 如果获取到的信息是部分翻译为英文的内容,则将其翻译为英文;
- 如果获取到的信息包含了对已翻译内容的引用,则将引用内容清理为仅含英文的内容。引用的内容不能够包含"This xxx was translated by Claude"和"Original Content`等内容。
- 如果获取到的信息包含了其他类型的引用,即对非 Claude 翻译的内容的引用,则直接照原样引用,不进行翻译。
- 如果获取到的信息是通过邮件回复的内容,则在翻译时应当将邮件内容的引用放到最后。在原始内容和翻译内容中只需要回复的内容本身,不要包含对邮件内容的引用。
- 如果获取到的信息本身不需要任何处理,则跳过任务。
3. 格式要求:
- 标题:英文翻译(如果非英文)
- 内容格式:
> [!NOTE]
> This issue/comment/review was translated by Claude.
[翻译内容]
---
<details>
<summary>Original Content</summary>
[原始内容]
</details>
4. 使用gh工具更新
- 根据环境信息中的Event类型选择正确的命令
- 如果 Event 是 'issues': gh issue edit [ISSUE_NUMBER] --title "[英文标题]" --body "[翻译内容 + 原始内容]"
- 如果 Event 是 'issue_comment': gh api -X PATCH /repos/${{ github.repository }}/issues/comments/${{ github.event.comment.id }} -f body="[翻译内容 + 原始内容]"
- 如果 Event 是 'pull_request_review': gh api -X PUT /repos/${{ github.repository }}/pulls/${{ github.event.pull_request.number }}/reviews/${{ github.event.review.id }} -f body="[翻译内容]"
- 如果 Event 是 'pull_request_review_comment': gh api -X PATCH /repos/${{ github.repository }}/pulls/comments/${{ github.event.comment.id }} -f body="[翻译内容 + 原始内容]"
环境信息:
- Event: ${{ github.event_name }}
- Issue Number: ${{ github.event.issue.number }}
- Repository: ${{ github.repository }}
- (Review) Comment ID: ${{ github.event.comment.id || 'N/A' }}
- Pull Request Number: ${{ github.event.pull_request.number || 'N/A' }}
- Review ID: ${{ github.event.review.id || 'N/A' }}
使用以下命令获取完整信息:
gh issue view ${{ github.event.issue.number }} --json title,body,comments
env:
ANTHROPIC_BASE_URL: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}

View File

@@ -1,60 +0,0 @@
name: Claude Code
on:
issue_comment:
types: [created]
pull_request_review_comment:
types: [created]
issues:
types: [opened]
pull_request_review:
types: [submitted]
jobs:
claude:
if: |
(github.event_name == 'issue_comment'
&& contains(github.event.comment.body, '@claude')
&& contains(fromJSON('["COLLABORATOR","MEMBER","OWNER"]'), github.event.comment.author_association))
||
(github.event_name == 'pull_request_review_comment'
&& contains(github.event.comment.body, '@claude')
&& contains(fromJSON('["COLLABORATOR","MEMBER","OWNER"]'), github.event.comment.author_association))
||
(github.event_name == 'pull_request_review'
&& contains(github.event.review.body, '@claude')
&& contains(fromJSON('["COLLABORATOR","MEMBER","OWNER"]'), github.event.review.author_association))
||
(github.event_name == 'issues'
&& (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude'))
&& contains(fromJSON('["COLLABORATOR","MEMBER","OWNER"]'), github.event.issue.author_association))
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: read
issues: read
id-token: write
actions: read # Required for Claude to read CI results on PRs
steps:
- name: Checkout repository
uses: actions/checkout@v5
with:
fetch-depth: 1
- name: Run Claude Code
id: claude
uses: anthropics/claude-code-action@v1
with:
claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
# This is an optional setting that allows Claude to read CI results on PRs
additional_permissions: |
actions: read
# Optional: Give a custom prompt to Claude. If this is not specified, Claude will perform the instructions specified in the comment that tagged it.
# prompt: 'Update the pull request description to include a summary of changes.'
# Optional: Add claude_args to customize behavior and configuration
# See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
# or https://docs.anthropic.com/en/docs/claude-code/sdk#command-line for available options
# claude_args: '--model claude-opus-4-1-20250805 --allowed-tools Bash(gh pr:*)'

View File

@@ -1,23 +0,0 @@
name: Delete merged branch
on:
pull_request:
types:
- closed
jobs:
delete-branch:
runs-on: ubuntu-latest
permissions:
contents: write
if: github.event.pull_request.merged == true && github.event.pull_request.head.repo.full_name == github.repository
steps:
- name: Delete merged branch
uses: actions/github-script@v8
continue-on-error: true
with:
script: |
github.rest.git.deleteRef({
owner: context.repo.owner,
repo: context.repo.repo,
ref: `heads/${context.payload.pull_request.head.ref}`,
})

View File

@@ -1,27 +0,0 @@
name: Dispatch Docs Update on Release
on:
release:
types: [released]
permissions:
contents: write
jobs:
dispatch-docs-update:
runs-on: ubuntu-latest
steps:
- name: Get Release Tag from Event
id: get-event-tag
shell: bash
run: |
# 从当前 Release 事件中获取 tag_name
echo "tag=${{ github.event.release.tag_name }}" >> $GITHUB_OUTPUT
- name: Dispatch update-download-version workflow to cherry-studio-docs
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ secrets.REPO_DISPATCH_TOKEN }}
repository: CherryHQ/cherry-studio-docs
event-type: update-download-version
client-payload: '{"version": "${{ steps.get-event-tag.outputs.tag }}"}'

View File

@@ -1,187 +0,0 @@
name: GitHub Issue Tracker with Feishu Notification
on:
issues:
types: [opened]
schedule:
# Run every day at 8:30 Beijing Time (00:30 UTC)
- cron: '30 0 * * *'
workflow_dispatch:
jobs:
process-new-issue:
if: github.event_name == 'issues'
runs-on: ubuntu-latest
permissions:
issues: write
contents: read
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Check Beijing Time
id: check_time
run: |
# Get current time in Beijing timezone (UTC+8)
BEIJING_HOUR=$(TZ='Asia/Shanghai' date +%H)
BEIJING_MINUTE=$(TZ='Asia/Shanghai' date +%M)
echo "Beijing Time: ${BEIJING_HOUR}:${BEIJING_MINUTE}"
# Check if time is between 00:00 and 08:30
if [ $BEIJING_HOUR -lt 8 ] || ([ $BEIJING_HOUR -eq 8 ] && [ $BEIJING_MINUTE -le 30 ]); then
echo "should_delay=true" >> $GITHUB_OUTPUT
echo "⏰ Issue created during quiet hours (00:00-08:30 Beijing Time)"
echo "Will schedule notification for 08:30"
else
echo "should_delay=false" >> $GITHUB_OUTPUT
echo "✅ Issue created during active hours, will notify immediately"
fi
- name: Add pending label if in quiet hours
if: steps.check_time.outputs.should_delay == 'true'
uses: actions/github-script@v7
with:
script: |
github.rest.issues.addLabels({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.issue.number,
labels: ['pending-feishu-notification']
});
- name: Setup Node.js
if: steps.check_time.outputs.should_delay == 'false'
uses: actions/setup-node@v4
with:
node-version: '20'
- name: Process issue with Claude
if: steps.check_time.outputs.should_delay == 'false'
uses: anthropics/claude-code-action@main
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
allowed_non_write_users: "*"
anthropic_api_key: ${{ secrets.CLAUDE_TRANSLATOR_APIKEY }}
claude_args: "--allowed-tools Bash(gh issue:*),Bash(node scripts/feishu-notify.js)"
prompt: |
你是一个GitHub Issue自动化处理助手。请完成以下任务
## 当前Issue信息
- Issue编号#${{ github.event.issue.number }}
- 标题:${{ github.event.issue.title }}
- 作者:${{ github.event.issue.user.login }}
- URL${{ github.event.issue.html_url }}
- 内容:${{ github.event.issue.body }}
- 标签:${{ join(github.event.issue.labels.*.name, ', ') }}
## 任务步骤
1. **分析并总结issue**
用中文简体提供简洁的总结2-3句话包括
- 问题的主要内容
- 核心诉求
- 重要的技术细节
2. **发送飞书通知**
使用以下命令发送飞书通知注意ISSUE_SUMMARY需要用引号包裹
```bash
ISSUE_URL="${{ github.event.issue.html_url }}" \
ISSUE_NUMBER="${{ github.event.issue.number }}" \
ISSUE_TITLE="${{ github.event.issue.title }}" \
ISSUE_AUTHOR="${{ github.event.issue.user.login }}" \
ISSUE_LABELS="${{ join(github.event.issue.labels.*.name, ',') }}" \
ISSUE_SUMMARY="<你生成的中文总结>" \
node scripts/feishu-notify.js
```
## 注意事项
- 总结必须使用简体中文
- ISSUE_SUMMARY 在传递给 node 命令时需要正确转义特殊字符
- 如果issue内容为空也要提供一个简短的说明
请开始执行任务!
env:
ANTHROPIC_BASE_URL: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}
FEISHU_WEBHOOK_URL: ${{ secrets.FEISHU_WEBHOOK_URL }}
FEISHU_WEBHOOK_SECRET: ${{ secrets.FEISHU_WEBHOOK_SECRET }}
process-pending-issues:
if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
runs-on: ubuntu-latest
permissions:
issues: write
contents: read
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: '20'
- name: Process pending issues with Claude
uses: anthropics/claude-code-action@main
with:
anthropic_api_key: ${{ secrets.CLAUDE_TRANSLATOR_APIKEY }}
allowed_non_write_users: "*"
github_token: ${{ secrets.GITHUB_TOKEN }}
claude_args: "--allowed-tools Bash(gh issue:*),Bash(gh api:*),Bash(node scripts/feishu-notify.js)"
prompt: |
你是一个GitHub Issue自动化处理助手。请完成以下任务
## 任务说明
处理所有待发送飞书通知的GitHub Issues标记为 `pending-feishu-notification` 的issues
## 步骤
1. **获取待处理的issues**
使用以下命令获取所有带 `pending-feishu-notification` 标签的issues
```bash
gh api repos/${{ github.repository }}/issues?labels=pending-feishu-notification&state=open
```
2. **总结每个issue**
对于每个找到的issue用中文提供简洁的总结2-3句话包括
- 问题的主要内容
- 核心诉求
- 重要的技术细节
3. **发送飞书通知**
对于每个issue使用以下命令发送飞书通知
```bash
ISSUE_URL="<issue的html_url>" \
ISSUE_NUMBER="<issue编号>" \
ISSUE_TITLE="<issue标题>" \
ISSUE_AUTHOR="<issue作者>" \
ISSUE_LABELS="<逗号分隔的标签列表排除pending-feishu-notification>" \
ISSUE_SUMMARY="<你生成的中文总结>" \
node scripts/feishu-notify.js
```
4. **移除标签**
成功发送后,使用以下命令移除 `pending-feishu-notification` 标签:
```bash
gh api -X DELETE repos/${{ github.repository }}/issues/<issue编号>/labels/pending-feishu-notification
```
## 环境变量
- Repository: ${{ github.repository }}
- Feishu webhook URL和密钥已在环境变量中配置好
## 注意事项
- 如果没有待处理的issues输出提示信息后直接结束
- 处理多个issues时每个issue之间等待2-3秒避免API限流
- 如果某个issue处理失败继续处理下一个不要中断整个流程
- 所有总结必须使用中文(简体中文)
请开始执行任务!
env:
ANTHROPIC_BASE_URL: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}
FEISHU_WEBHOOK_URL: ${{ secrets.FEISHU_WEBHOOK_URL }}
FEISHU_WEBHOOK_SECRET: ${{ secrets.FEISHU_WEBHOOK_SECRET }}

25
.github/workflows/issue-checker.yml vendored Normal file
View File

@@ -0,0 +1,25 @@
name: "Issue Checker"
on:
issues:
types: [opened, edited]
pull_request_target:
types: [opened, edited]
issue_comment:
types: [created, edited]
permissions:
contents: read
issues: write
pull-requests: write
jobs:
triage:
runs-on: ubuntu-latest
steps:
- uses: MaaAssistantArknights/issue-checker@v1.14
with:
repo-token: "${{ secrets.GITHUB_TOKEN }}"
configuration-path: .github/issue-checker.yml
not-before: 2022-08-05T00:00:00Z
include-title: 1

View File

@@ -1,8 +1,8 @@
name: 'Stale Issue Management'
name: "Stale Issue Management"
on:
schedule:
- cron: '0 0 * * *'
- cron: "0 0 * * *"
workflow_dispatch:
env:
@@ -24,18 +24,18 @@ jobs:
uses: actions/stale@v9
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
only-labels: 'needs-more-info'
only-labels: "needs-more-info"
days-before-stale: ${{ env.daysBeforeStale }}
days-before-close: 0 # Close immediately after stale
stale-issue-label: 'inactive'
close-issue-label: 'closed:no-response'
days-before-close: 0 # Close immediately after stale
stale-issue-label: "inactive"
close-issue-label: "closed:no-response"
stale-issue-message: |
This issue has been labeled as needing more information and has been inactive for ${{ env.daysBeforeStale }} days.
It will be closed now due to lack of additional information.
该问题被标记为"需要更多信息"且已经 ${{ env.daysBeforeStale }} 天没有任何活动,将立即关闭。
operations-per-run: 50
exempt-issue-labels: 'pending, Dev Team'
exempt-issue-labels: "pending, Dev Team"
days-before-pr-stale: -1
days-before-pr-close: -1
@@ -45,11 +45,11 @@ jobs:
repo-token: ${{ secrets.GITHUB_TOKEN }}
days-before-stale: ${{ env.daysBeforeStale }}
days-before-close: ${{ env.daysBeforeClose }}
stale-issue-label: 'inactive'
stale-issue-label: "inactive"
stale-issue-message: |
This issue has been inactive for a prolonged period and will be closed automatically in ${{ env.daysBeforeClose }} days.
该问题已长时间处于闲置状态,${{ env.daysBeforeClose }} 天后将自动关闭。
exempt-issue-labels: 'pending, Dev Team, kind/enhancement'
exempt-issue-labels: "pending, Dev Team, kind/enhancement"
days-before-pr-stale: -1 # Completely disable stalling for PRs
days-before-pr-close: -1 # Completely disable closing for PRs

View File

@@ -51,12 +51,12 @@ jobs:
steps:
- name: Check out Git repository
uses: actions/checkout@v5
uses: actions/checkout@v4
with:
ref: main
ref: develop
- name: Install Node.js
uses: actions/setup-node@v5
uses: actions/setup-node@v4
with:
node-version: 20
@@ -93,44 +93,37 @@ jobs:
- name: Build Linux
if: matrix.os == 'ubuntu-latest'
run: |
sudo apt-get install -y rpm
yarn build:npm linux
yarn build:linux
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Build Mac
if: matrix.os == 'macos-latest'
run: |
yarn build:npm mac
yarn build:mac
env:
CSC_LINK: ${{ secrets.CSC_LINK }}
CSC_KEY_PASSWORD: ${{ secrets.CSC_KEY_PASSWORD }}
APPLE_ID: ${{ secrets.APPLE_ID }}
APPLE_APP_SPECIFIC_PASSWORD: ${{ secrets.APPLE_APP_SPECIFIC_PASSWORD }}
APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }}
APPLE_ID: ${{ vars.APPLE_ID }}
APPLE_APP_SPECIFIC_PASSWORD: ${{ vars.APPLE_APP_SPECIFIC_PASSWORD }}
APPLE_TEAM_ID: ${{ vars.APPLE_TEAM_ID }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Build Windows
if: matrix.os == 'windows-latest'
run: |
yarn build:npm windows
yarn build:win
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Rename artifacts with nightly format
shell: bash
@@ -226,7 +219,7 @@ jobs:
shell: bash
- name: Download all artifacts
uses: actions/download-artifact@v5
uses: actions/download-artifact@v4
with:
path: all-artifacts
merge-multiple: false

View File

@@ -1,30 +1,22 @@
name: Pull Request CI
permissions:
contents: read
on:
workflow_dispatch:
pull_request:
branches:
- main
- develop
- v2
types: [ready_for_review, synchronize, opened]
jobs:
build:
runs-on: ubuntu-latest
env:
PRCI: true
if: github.event.pull_request.draft == false
steps:
- name: Check out Git repository
uses: actions/checkout@v5
uses: actions/checkout@v4
- name: Install Node.js
uses: actions/setup-node@v5
uses: actions/setup-node@v4
with:
node-version: 20
@@ -48,17 +40,8 @@ jobs:
- name: Install Dependencies
run: yarn install
- name: Build Check
run: yarn build:check
- name: Lint Check
run: yarn test:lint
- name: Format Check
run: yarn format:check
- name: Type Check
run: yarn typecheck
- name: i18n Check
run: yarn check:i18n
- name: Test
run: yarn test
run: yarn lint

View File

@@ -25,9 +25,9 @@ jobs:
steps:
- name: Check out Git repository
uses: actions/checkout@v5
uses: actions/checkout@v4
with:
fetch-depth: 0
ref: main
- name: Get release tag
id: get-tag
@@ -39,15 +39,8 @@ jobs:
echo "tag=${GITHUB_REF#refs/tags/}" >> $GITHUB_OUTPUT
fi
- name: Set package.json version
shell: bash
run: |
TAG="${{ steps.get-tag.outputs.tag }}"
VERSION="${TAG#v}"
npm version "$VERSION" --no-git-tag-version --allow-same-version
- name: Install Node.js
uses: actions/setup-node@v5
uses: actions/setup-node@v4
with:
node-version: 20
@@ -79,46 +72,39 @@ jobs:
- name: Build Linux
if: matrix.os == 'ubuntu-latest'
run: |
sudo apt-get install -y rpm
yarn build:npm linux
yarn build:linux
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Build Mac
if: matrix.os == 'macos-latest'
run: |
sudo -H pip install setuptools
yarn build:npm mac
yarn build:mac
env:
CSC_LINK: ${{ secrets.CSC_LINK }}
CSC_KEY_PASSWORD: ${{ secrets.CSC_KEY_PASSWORD }}
APPLE_ID: ${{ secrets.APPLE_ID }}
APPLE_APP_SPECIFIC_PASSWORD: ${{ secrets.APPLE_APP_SPECIFIC_PASSWORD }}
APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }}
APPLE_ID: ${{ vars.APPLE_ID }}
APPLE_APP_SPECIFIC_PASSWORD: ${{ vars.APPLE_APP_SPECIFIC_PASSWORD }}
APPLE_TEAM_ID: ${{ vars.APPLE_TEAM_ID }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Build Windows
if: matrix.os == 'windows-latest'
run: |
yarn build:npm windows
yarn build:win
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
NODE_OPTIONS: --max-old-space-size=8192
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
- name: Release
uses: ncipollo/release-action@v1
@@ -127,5 +113,5 @@ jobs:
allowUpdates: true
makeLatest: false
tag: ${{ steps.get-tag.outputs.tag }}
artifacts: 'dist/*.exe,dist/*.zip,dist/*.dmg,dist/*.AppImage,dist/*.snap,dist/*.deb,dist/*.rpm,dist/*.tar.gz,dist/latest*.yml,dist/rc*.yml,dist/beta*.yml,dist/*.blockmap'
artifacts: 'dist/*.exe,dist/*.zip,dist/*.dmg,dist/*.AppImage,dist/*.snap,dist/*.deb,dist/*.rpm,dist/*.tar.gz,dist/latest*.yml,dist/*.blockmap'
token: ${{ secrets.GITHUB_TOKEN }}

25
.gitignore vendored
View File

@@ -35,41 +35,20 @@ Thumbs.db
node_modules
dist
out
mcp_server
stats.html
.eslintcache
# ENV
.env
.env.*
!.env.example
# Local
local
.aider*
.cursorrules
.cursor/*
.claude/*
.gemini/*
.qwen/*
.trae/*
.claude-code-router/*
.codebuddy/*
.zed/*
CLAUDE.local.md
.cursor/rules
# vitest
# test
coverage
.vitest-cache
vitest.config.*.timestamp-*
# TypeScript incremental build
.tsbuildinfo
# playwright
playwright-report
test-results
YOUR_MEMORY_FILE_PATH
.sessions/

View File

@@ -1,215 +0,0 @@
{
"$schema": "./node_modules/oxlint/configuration_schema.json",
"categories": {},
"env": {
"es2022": true
},
"globals": {},
"ignorePatterns": [
"node_modules/**",
"build/**",
"dist/**",
"out/**",
"local/**",
".yarn/**",
".gitignore",
"scripts/cloudflare-worker.js",
"src/main/integration/nutstore/sso/lib/**",
"src/main/integration/cherryai/index.js",
"src/main/integration/nutstore/sso/lib/**",
"src/renderer/src/ui/**",
"packages/**/dist",
"eslint.config.mjs"
],
"overrides": [
// set different env
{
"env": {
"node": true
},
"files": ["src/main/**", "resources/scripts/**", "scripts/**", "playwright.config.ts", "electron.vite.config.ts"]
},
{
"env": {
"browser": true
},
"files": [
"src/renderer/**/*.{ts,tsx}",
"packages/aiCore/**",
"packages/extension-table-plus/**",
"resources/js/**"
]
},
{
"env": {
"node": true,
"vitest": true
},
"files": ["**/__tests__/*.test.{ts,tsx}", "tests/**"]
},
{
"env": {
"browser": true,
"node": true
},
"files": ["src/preload/**"]
}
],
// We don't use the React plugin here because its behavior differs slightly from that of ESLint's React plugin.
"plugins": ["unicorn", "typescript", "oxc", "import"],
"rules": {
"constructor-super": "error",
"for-direction": "error",
"getter-return": "error",
"no-array-constructor": "off",
// "import/no-cycle": "error", // tons of error, bro
"no-async-promise-executor": "error",
"no-caller": "warn",
"no-case-declarations": "error",
"no-class-assign": "error",
"no-compare-neg-zero": "error",
"no-cond-assign": "error",
"no-const-assign": "error",
"no-constant-binary-expression": "error",
"no-constant-condition": "error",
"no-control-regex": "error",
"no-debugger": "error",
"no-delete-var": "error",
"no-dupe-args": "error",
"no-dupe-class-members": "error",
"no-dupe-else-if": "error",
"no-dupe-keys": "error",
"no-duplicate-case": "error",
"no-empty": "error",
"no-empty-character-class": "error",
"no-empty-pattern": "error",
"no-empty-static-block": "error",
"no-eval": "warn",
"no-ex-assign": "error",
"no-extra-boolean-cast": "error",
"no-fallthrough": "warn",
"no-func-assign": "error",
"no-global-assign": "error",
"no-import-assign": "error",
"no-invalid-regexp": "error",
"no-irregular-whitespace": "error",
"no-loss-of-precision": "error",
"no-misleading-character-class": "error",
"no-new-native-nonconstructor": "error",
"no-nonoctal-decimal-escape": "error",
"no-obj-calls": "error",
"no-octal": "error",
"no-prototype-builtins": "error",
"no-redeclare": "error",
"no-regex-spaces": "error",
"no-self-assign": "error",
"no-setter-return": "error",
"no-shadow-restricted-names": "error",
"no-sparse-arrays": "error",
"no-this-before-super": "error",
"no-unassigned-vars": "warn",
"no-undef": "error",
"no-unexpected-multiline": "error",
"no-unreachable": "error",
"no-unsafe-finally": "error",
"no-unsafe-negation": "error",
"no-unsafe-optional-chaining": "error",
"no-unused-expressions": "off", // this rule disallow us to use expression to call function, like `condition && fn()`
"no-unused-labels": "error",
"no-unused-private-class-members": "error",
"no-unused-vars": ["warn", { "caughtErrors": "none" }],
"no-useless-backreference": "error",
"no-useless-catch": "error",
"no-useless-escape": "error",
"no-useless-rename": "warn",
"no-with": "error",
"oxc/bad-array-method-on-arguments": "warn",
"oxc/bad-char-at-comparison": "warn",
"oxc/bad-comparison-sequence": "warn",
"oxc/bad-min-max-func": "warn",
"oxc/bad-object-literal-comparison": "warn",
"oxc/bad-replace-all-arg": "warn",
"oxc/const-comparisons": "warn",
"oxc/double-comparisons": "warn",
"oxc/erasing-op": "warn",
"oxc/missing-throw": "warn",
"oxc/number-arg-out-of-range": "warn",
"oxc/only-used-in-recursion": "off", // manually off bacause of existing warning. may turn it on in the future
"oxc/uninvoked-array-callback": "warn",
"require-yield": "error",
"typescript/await-thenable": "warn",
// "typescript/ban-ts-comment": "error",
"typescript/no-array-constructor": "error",
// "typescript/consistent-type-imports": "error",
"typescript/no-array-delete": "warn",
"typescript/no-base-to-string": "warn",
"typescript/no-duplicate-enum-values": "error",
"typescript/no-duplicate-type-constituents": "warn",
"typescript/no-empty-object-type": "off",
"typescript/no-explicit-any": "off", // not safe but too many errors
"typescript/no-extra-non-null-assertion": "error",
"typescript/no-floating-promises": "warn",
"typescript/no-for-in-array": "warn",
"typescript/no-implied-eval": "warn",
"typescript/no-meaningless-void-operator": "warn",
"typescript/no-misused-new": "error",
"typescript/no-misused-spread": "warn",
"typescript/no-namespace": "error",
"typescript/no-non-null-asserted-optional-chain": "off", // it's off now. but may turn it on.
"typescript/no-redundant-type-constituents": "warn",
"typescript/no-require-imports": "off",
"typescript/no-this-alias": "error",
"typescript/no-unnecessary-parameter-property-assignment": "warn",
"typescript/no-unnecessary-type-constraint": "error",
"typescript/no-unsafe-declaration-merging": "error",
"typescript/no-unsafe-function-type": "error",
"typescript/no-unsafe-unary-minus": "warn",
"typescript/no-useless-empty-export": "warn",
"typescript/no-wrapper-object-types": "error",
"typescript/prefer-as-const": "error",
"typescript/prefer-namespace-keyword": "error",
"typescript/require-array-sort-compare": "warn",
"typescript/restrict-template-expressions": "warn",
"typescript/triple-slash-reference": "error",
"typescript/unbound-method": "warn",
"unicorn/no-await-in-promise-methods": "warn",
"unicorn/no-empty-file": "off", // manually off bacause of existing warning. may turn it on in the future
"unicorn/no-invalid-fetch-options": "warn",
"unicorn/no-invalid-remove-event-listener": "warn",
"unicorn/no-new-array": "off", // manually off bacause of existing warning. may turn it on in the future
"unicorn/no-single-promise-in-promise-methods": "warn",
"unicorn/no-thenable": "off", // manually off bacause of existing warning. may turn it on in the future
"unicorn/no-unnecessary-await": "warn",
"unicorn/no-useless-fallback-in-spread": "warn",
"unicorn/no-useless-length-check": "warn",
"unicorn/no-useless-spread": "off", // manually off bacause of existing warning. may turn it on in the future
"unicorn/prefer-set-size": "warn",
"unicorn/prefer-string-starts-ends-with": "warn",
"use-isnan": "error",
"valid-typeof": "error"
},
"settings": {
"jsdoc": {
"augmentsExtendsReplacesDocs": false,
"exemptDestructuredRootsFromChecks": false,
"ignoreInternal": false,
"ignorePrivate": false,
"ignoreReplacesDocs": true,
"implementsReplacesDocs": false,
"overrideReplacesDocs": true,
"tagNamePreference": {}
},
"jsx-a11y": {
"attributes": {},
"components": {},
"polymorphicPropName": null
},
"next": {
"rootDir": []
},
"react": {
"formComponents": [],
"linkComponents": []
}
}
}

9
.prettierignore Normal file
View File

@@ -0,0 +1,9 @@
out
dist
pnpm-lock.yaml
LICENSE.md
tsconfig.json
tsconfig.*.json
CHANGELOG*.md
agents.json
src/renderer/src/integration/nutstore/sso/lib

8
.prettierrc Normal file
View File

@@ -0,0 +1,8 @@
{
"singleQuote": true,
"semi": false,
"printWidth": 120,
"trailingComma": "none",
"endOfLine": "lf",
"bracketSameLine": true
}

View File

@@ -1,11 +1,3 @@
{
"recommendations": [
"dbaeumer.vscode-eslint",
"editorconfig.editorconfig",
"lokalise.i18n-ally",
"bradlc.vscode-tailwindcss",
"vitest.explorer",
"oxc.oxc-vscode",
"biomejs.biome"
]
"recommendations": ["dbaeumer.vscode-eslint"]
}

46
.vscode/launch.json vendored
View File

@@ -1,40 +1,40 @@
{
"compounds": [
{
"configurations": ["Debug Main Process", "Debug Renderer Process"],
"name": "Debug All",
"presentation": {
"order": 1
}
}
],
"version": "0.2.0",
"configurations": [
{
"cwd": "${workspaceRoot}",
"env": {
"REMOTE_DEBUGGING_PORT": "9222"
},
"envFile": "${workspaceFolder}/.env",
"name": "Debug Main Process",
"request": "launch",
"runtimeArgs": ["--inspect", "--sourcemap"],
"runtimeExecutable": "${workspaceRoot}/node_modules/.bin/electron-vite",
"type": "node",
"request": "launch",
"cwd": "${workspaceRoot}",
"runtimeExecutable": "${workspaceRoot}/node_modules/.bin/electron-vite",
"runtimeVersion": "20",
"windows": {
"runtimeExecutable": "${workspaceRoot}/node_modules/.bin/electron-vite.cmd"
},
"runtimeArgs": ["--sourcemap"],
"env": {
"REMOTE_DEBUGGING_PORT": "9222"
}
},
{
"name": "Debug Renderer Process",
"port": 9222,
"request": "attach",
"type": "chrome",
"webRoot": "${workspaceFolder}/src/renderer",
"timeout": 60000,
"presentation": {
"hidden": true
},
"request": "attach",
"timeout": 3000000,
"type": "chrome",
"webRoot": "${workspaceFolder}/src/renderer"
}
}
],
"version": "0.2.0"
"compounds": [
{
"name": "Debug All",
"configurations": ["Debug Main Process", "Debug Renderer Process"],
"presentation": {
"order": 1
}
}
]
}

82
.vscode/settings.json vendored
View File

@@ -1,55 +1,43 @@
{
"[css]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[javascript]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[json]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[jsonc]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[markdown]": {
"files.trimTrailingWhitespace": false
},
"[scss]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[typescript]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[typescriptreact]": {
"editor.defaultFormatter": "biomejs.biome"
},
"editor.codeActionsOnSave": {
"source.fixAll.biome": "explicit",
"source.fixAll.eslint": "explicit",
"source.fixAll.oxc": "explicit",
"source.organizeImports": "never"
},
"editor.formatOnSave": true,
"files.associations": {
"*.css": "tailwindcss"
"editor.codeActionsOnSave": {
"source.fixAll.eslint": "explicit"
},
"files.eol": "\n",
// "i18n-ally.displayLanguage": "zh-cn", // 界面显示语言
"i18n-ally.enabledFrameworks": ["react-i18next", "i18next"],
"i18n-ally.enabledParsers": ["ts", "js", "json"], // 解析语言
"i18n-ally.fullReloadOnChanged": true,
"i18n-ally.keystyle": "nested", // 翻译路径格式
"i18n-ally.localesPaths": ["src/renderer/src/i18n/locales"],
// "i18n-ally.namespace": true, // 开启命名空间
"i18n-ally.sortKeys": true, // 排序
"i18n-ally.sourceLanguage": "zh-cn", // 翻译源语言
"i18n-ally.usage.derivedKeyRules": ["{key}_one", "{key}_other"], // 标记单复数形式的键为已翻译
"search.exclude": {
"**/dist/**": true,
".yarn/releases/**": true
},
"tailwindCSS.classAttributes": [
"className",
"classNames",
]
"[javascript]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[typescript]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[typescriptreact]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[json]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[jsonc]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[css]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[scss]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[markdown]": {
"files.trimTrailingWhitespace": false
},
"i18n-ally.localesPaths": ["src/renderer/src/i18n/locales"],
"i18n-ally.enabledFrameworks": ["react-i18next", "i18next"],
"i18n-ally.keystyle": "nested", // 翻译路径格式
"i18n-ally.sortKeys": true, // 排序
"i18n-ally.namespace": true, // 开启命名空间
"i18n-ally.enabledParsers": ["ts", "js", "json"], // 解析语言
"i18n-ally.sourceLanguage": "en-us", // 翻译源语言
"i18n-ally.displayLanguage": "zh-cn",
"i18n-ally.fullReloadOnChanged": true // 界面显示语言
}

View File

@@ -1,13 +0,0 @@
diff --git a/dist/index.mjs b/dist/index.mjs
index 69ab1599c76801dc1167551b6fa283dded123466..f0af43bba7ad1196fe05338817e65b4ebda40955 100644
--- a/dist/index.mjs
+++ b/dist/index.mjs
@@ -477,7 +477,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
// src/get-model-path.ts
function getModelPath(modelId) {
- return modelId.includes("/") ? modelId : `models/${modelId}`;
+ return modelId?.includes("models/") ? modelId : `models/${modelId}`;
}
// src/google-generative-ai-options.ts

View File

@@ -1,31 +0,0 @@
diff --git a/sdk.mjs b/sdk.mjs
index 461e9a2ba246778261108a682762ffcf26f7224e..44bd667d9f591969d36a105ba5eb8b478c738dd8 100644
--- a/sdk.mjs
+++ b/sdk.mjs
@@ -6215,7 +6215,7 @@ function createAbortController(maxListeners = DEFAULT_MAX_LISTENERS) {
}
// ../src/transport/ProcessTransport.ts
-import { spawn } from "child_process";
+import { fork } from "child_process";
import { createInterface } from "readline";
// ../src/utils/fsOperations.ts
@@ -6473,14 +6473,11 @@ class ProcessTransport {
const errorMessage = isNativeBinary(pathToClaudeCodeExecutable) ? `Claude Code native binary not found at ${pathToClaudeCodeExecutable}. Please ensure Claude Code is installed via native installer or specify a valid path with options.pathToClaudeCodeExecutable.` : `Claude Code executable not found at ${pathToClaudeCodeExecutable}. Is options.pathToClaudeCodeExecutable set?`;
throw new ReferenceError(errorMessage);
}
- const isNative = isNativeBinary(pathToClaudeCodeExecutable);
- const spawnCommand = isNative ? pathToClaudeCodeExecutable : executable;
- const spawnArgs = isNative ? args : [...executableArgs, pathToClaudeCodeExecutable, ...args];
- this.logForDebugging(isNative ? `Spawning Claude Code native binary: ${pathToClaudeCodeExecutable} ${args.join(" ")}` : `Spawning Claude Code process: ${executable} ${[...executableArgs, pathToClaudeCodeExecutable, ...args].join(" ")}`);
+ this.logForDebugging(`Forking Claude Code Node.js process: ${pathToClaudeCodeExecutable} ${args.join(" ")}`);
const stderrMode = env.DEBUG || stderr ? "pipe" : "ignore";
- this.child = spawn(spawnCommand, spawnArgs, {
+ this.child = fork(pathToClaudeCodeExecutable, args, {
cwd,
- stdio: ["pipe", "pipe", stderrMode],
+ stdio: stderrMode === "pipe" ? ["pipe", "pipe", "pipe", "ipc"] : ["pipe", "pipe", "ignore", "ipc"],
signal: this.abortController.signal,
env
});

View File

@@ -1,196 +0,0 @@
diff --git a/client.js b/client.js
index c2b9cd6e46f9f66f901af259661bc2d2f8b38936..9b6b3af1a6573e1ccaf3a1c5f41b48df198cbbe0 100644
--- a/client.js
+++ b/client.js
@@ -26,7 +26,7 @@ Object.defineProperty(exports, "__esModule", { value: true });
exports.AnthropicVertex = exports.BaseAnthropic = void 0;
const client_1 = require("@anthropic-ai/sdk/client");
const Resources = __importStar(require("@anthropic-ai/sdk/resources/index"));
-const google_auth_library_1 = require("google-auth-library");
+// const google_auth_library_1 = require("google-auth-library");
const env_1 = require("./internal/utils/env.js");
const values_1 = require("./internal/utils/values.js");
const headers_1 = require("./internal/headers.js");
@@ -56,7 +56,7 @@ class AnthropicVertex extends client_1.BaseAnthropic {
throw new Error('No region was given. The client should be instantiated with the `region` option or the `CLOUD_ML_REGION` environment variable should be set.');
}
super({
- baseURL: baseURL || `https://${region}-aiplatform.googleapis.com/v1`,
+ baseURL: baseURL || (region === 'global' ? 'https://aiplatform.googleapis.com/v1' : `https://${region}-aiplatform.googleapis.com/v1`),
...opts,
});
this.messages = makeMessagesResource(this);
@@ -64,22 +64,22 @@ class AnthropicVertex extends client_1.BaseAnthropic {
this.region = region;
this.projectId = projectId;
this.accessToken = opts.accessToken ?? null;
- this._auth =
- opts.googleAuth ?? new google_auth_library_1.GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
- this._authClientPromise = this._auth.getClient();
+ // this._auth =
+ // opts.googleAuth ?? new google_auth_library_1.GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
+ // this._authClientPromise = this._auth.getClient();
}
validateHeaders() {
// auth validation is handled in prepareOptions since it needs to be async
}
- async prepareOptions(options) {
- const authClient = await this._authClientPromise;
- const authHeaders = await authClient.getRequestHeaders();
- const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
- if (!this.projectId && projectId) {
- this.projectId = projectId;
- }
- options.headers = (0, headers_1.buildHeaders)([authHeaders, options.headers]);
- }
+ // async prepareOptions(options) {
+ // const authClient = await this._authClientPromise;
+ // const authHeaders = await authClient.getRequestHeaders();
+ // const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
+ // if (!this.projectId && projectId) {
+ // this.projectId = projectId;
+ // }
+ // options.headers = (0, headers_1.buildHeaders)([authHeaders, options.headers]);
+ // }
buildRequest(options) {
if ((0, values_1.isObj)(options.body)) {
// create a shallow copy of the request body so that code that mutates it later
diff --git a/client.mjs b/client.mjs
index 70274cbf38f69f87cbcca9567e77e4a7b938cf90..4dea954b6f4afad565663426b7adfad5de973a7d 100644
--- a/client.mjs
+++ b/client.mjs
@@ -1,6 +1,6 @@
import { BaseAnthropic } from '@anthropic-ai/sdk/client';
import * as Resources from '@anthropic-ai/sdk/resources/index';
-import { GoogleAuth } from 'google-auth-library';
+// import { GoogleAuth } from 'google-auth-library';
import { readEnv } from "./internal/utils/env.mjs";
import { isObj } from "./internal/utils/values.mjs";
import { buildHeaders } from "./internal/headers.mjs";
@@ -29,7 +29,7 @@ export class AnthropicVertex extends BaseAnthropic {
throw new Error('No region was given. The client should be instantiated with the `region` option or the `CLOUD_ML_REGION` environment variable should be set.');
}
super({
- baseURL: baseURL || `https://${region}-aiplatform.googleapis.com/v1`,
+ baseURL: baseURL || (region === 'global' ? 'https://aiplatform.googleapis.com/v1' : `https://${region}-aiplatform.googleapis.com/v1`),
...opts,
});
this.messages = makeMessagesResource(this);
@@ -37,22 +37,22 @@ export class AnthropicVertex extends BaseAnthropic {
this.region = region;
this.projectId = projectId;
this.accessToken = opts.accessToken ?? null;
- this._auth =
- opts.googleAuth ?? new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
- this._authClientPromise = this._auth.getClient();
+ // this._auth =
+ // opts.googleAuth ?? new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
+ //this._authClientPromise = this._auth.getClient();
}
validateHeaders() {
// auth validation is handled in prepareOptions since it needs to be async
}
- async prepareOptions(options) {
- const authClient = await this._authClientPromise;
- const authHeaders = await authClient.getRequestHeaders();
- const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
- if (!this.projectId && projectId) {
- this.projectId = projectId;
- }
- options.headers = buildHeaders([authHeaders, options.headers]);
- }
+ // async prepareOptions(options) {
+ // const authClient = await this._authClientPromise;
+ // const authHeaders = await authClient.getRequestHeaders();
+ // const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
+ // if (!this.projectId && projectId) {
+ // this.projectId = projectId;
+ // }
+ // options.headers = buildHeaders([authHeaders, options.headers]);
+ // }
buildRequest(options) {
if (isObj(options.body)) {
// create a shallow copy of the request body so that code that mutates it later
diff --git a/src/client.ts b/src/client.ts
index a6f9c6be65e4189f4f9601fb560df3f68e7563eb..37b1ad2802e3ca0dae4ca35f9dcb5b22dcf09796 100644
--- a/src/client.ts
+++ b/src/client.ts
@@ -12,22 +12,22 @@ export { BaseAnthropic } from '@anthropic-ai/sdk/client';
const DEFAULT_VERSION = 'vertex-2023-10-16';
const MODEL_ENDPOINTS = new Set<string>(['/v1/messages', '/v1/messages?beta=true']);
-export type ClientOptions = Omit<CoreClientOptions, 'apiKey' | 'authToken'> & {
- region?: string | null | undefined;
- projectId?: string | null | undefined;
- accessToken?: string | null | undefined;
-
- /**
- * Override the default google auth config using the
- * [google-auth-library](https://www.npmjs.com/package/google-auth-library) package.
- *
- * Note that you'll likely have to set `scopes`, e.g.
- * ```ts
- * new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' })
- * ```
- */
- googleAuth?: GoogleAuth | null | undefined;
-};
+// export type ClientOptions = Omit<CoreClientOptions, 'apiKey' | 'authToken'> & {
+// region?: string | null | undefined;
+// projectId?: string | null | undefined;
+// accessToken?: string | null | undefined;
+
+// /**
+// * Override the default google auth config using the
+// * [google-auth-library](https://www.npmjs.com/package/google-auth-library) package.
+// *
+// * Note that you'll likely have to set `scopes`, e.g.
+// * ```ts
+// * new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' })
+// * ```
+// */
+// googleAuth?: GoogleAuth | null | undefined;
+// };
export class AnthropicVertex extends BaseAnthropic {
region: string;
@@ -74,9 +74,9 @@ export class AnthropicVertex extends BaseAnthropic {
this.projectId = projectId;
this.accessToken = opts.accessToken ?? null;
- this._auth =
- opts.googleAuth ?? new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
- this._authClientPromise = this._auth.getClient();
+ // this._auth =
+ // opts.googleAuth ?? new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
+ // this._authClientPromise = this._auth.getClient();
}
messages: MessagesResource = makeMessagesResource(this);
@@ -86,17 +86,17 @@ export class AnthropicVertex extends BaseAnthropic {
// auth validation is handled in prepareOptions since it needs to be async
}
- protected override async prepareOptions(options: FinalRequestOptions): Promise<void> {
- const authClient = await this._authClientPromise;
+ // protected override async prepareOptions(options: FinalRequestOptions): Promise<void> {
+ // const authClient = await this._authClientPromise;
- const authHeaders = await authClient.getRequestHeaders();
- const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
- if (!this.projectId && projectId) {
- this.projectId = projectId;
- }
+ // const authHeaders = await authClient.getRequestHeaders();
+ // const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
+ // if (!this.projectId && projectId) {
+ // this.projectId = projectId;
+ // }
- options.headers = buildHeaders([authHeaders, options.headers]);
- }
+ // options.headers = buildHeaders([authHeaders, options.headers]);
+ // }
override buildRequest(options: FinalRequestOptions): {
req: FinalizedRequestInit;

File diff suppressed because one or more lines are too long

View File

@@ -1,71 +0,0 @@
diff --git a/dist/utils/tiktoken.cjs b/dist/utils/tiktoken.cjs
index 973b0d0e75aeaf8de579419af31b879b32975413..f23c7caa8b9dc8bd404132725346a4786f6b278b 100644
--- a/dist/utils/tiktoken.cjs
+++ b/dist/utils/tiktoken.cjs
@@ -1,25 +1,14 @@
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.encodingForModel = exports.getEncoding = void 0;
-const lite_1 = require("js-tiktoken/lite");
const async_caller_js_1 = require("./async_caller.cjs");
const cache = {};
const caller = /* #__PURE__ */ new async_caller_js_1.AsyncCaller({});
async function getEncoding(encoding) {
- if (!(encoding in cache)) {
- cache[encoding] = caller
- .fetch(`https://tiktoken.pages.dev/js/${encoding}.json`)
- .then((res) => res.json())
- .then((data) => new lite_1.Tiktoken(data))
- .catch((e) => {
- delete cache[encoding];
- throw e;
- });
- }
- return await cache[encoding];
+ throw new Error("TikToken Not implemented");
}
exports.getEncoding = getEncoding;
async function encodingForModel(model) {
- return getEncoding((0, lite_1.getEncodingNameForModel)(model));
+ throw new Error("TikToken Not implemented");
}
exports.encodingForModel = encodingForModel;
diff --git a/dist/utils/tiktoken.js b/dist/utils/tiktoken.js
index 8e41ee6f00f2f9c7fa2c59fa2b2f4297634b97aa..aa5f314a6349ad0d1c5aea8631a56aad099176e0 100644
--- a/dist/utils/tiktoken.js
+++ b/dist/utils/tiktoken.js
@@ -1,20 +1,9 @@
-import { Tiktoken, getEncodingNameForModel, } from "js-tiktoken/lite";
import { AsyncCaller } from "./async_caller.js";
const cache = {};
const caller = /* #__PURE__ */ new AsyncCaller({});
export async function getEncoding(encoding) {
- if (!(encoding in cache)) {
- cache[encoding] = caller
- .fetch(`https://tiktoken.pages.dev/js/${encoding}.json`)
- .then((res) => res.json())
- .then((data) => new Tiktoken(data))
- .catch((e) => {
- delete cache[encoding];
- throw e;
- });
- }
- return await cache[encoding];
+ throw new Error("TikToken Not implemented");
}
export async function encodingForModel(model) {
- return getEncoding(getEncodingNameForModel(model));
+ throw new Error("TikToken Not implemented");
}
diff --git a/package.json b/package.json
index 36072aecf700fca1bc49832a19be832eca726103..90b8922fba1c3d1b26f78477c891b07816d6238a 100644
--- a/package.json
+++ b/package.json
@@ -37,7 +37,6 @@
"ansi-styles": "^5.0.0",
"camelcase": "6",
"decamelize": "1.2.0",
- "js-tiktoken": "^1.0.12",
"langsmith": ">=0.2.8 <0.4.0",
"mustache": "^4.2.0",
"p-queue": "^6.6.2",

View File

@@ -1,30 +0,0 @@
diff --git a/index.js b/index.js
index dc071739e79876dff88e1be06a9168e294222d13..b9df7525c62bdf777e89e732e1b0c81f84d872f2 100644
--- a/index.js
+++ b/index.js
@@ -380,7 +380,7 @@ if (!nativeBinding || process.env.NAPI_RS_FORCE_WASI) {
}
}
-if (!nativeBinding) {
+if (!nativeBinding && process.platform !== 'linux') {
if (loadErrors.length > 0) {
throw new Error(
`Cannot find native binding. ` +
@@ -392,6 +392,13 @@ if (!nativeBinding) {
throw new Error(`Failed to load native binding`)
}
-module.exports = nativeBinding
-module.exports.OcrAccuracy = nativeBinding.OcrAccuracy
-module.exports.recognize = nativeBinding.recognize
+if (process.platform === 'linux') {
+ module.exports = {OcrAccuracy: {
+ Fast: 0,
+ Accurate: 1
+ }, recognize: () => Promise.resolve({text: '', confidence: 1.0})}
+}else{
+ module.exports = nativeBinding
+ module.exports.OcrAccuracy = nativeBinding.OcrAccuracy
+ module.exports.recognize = nativeBinding.recognize
+}

View File

@@ -1,48 +0,0 @@
diff --git a/dist/index.cjs b/dist/index.cjs
index 8e560a4406c5cc616c11bb9fd5455ac0dcf47fa3..c7cd0d65ddc971bff71e89f610de82cfdaa5a8c7 100644
--- a/dist/index.cjs
+++ b/dist/index.cjs
@@ -413,6 +413,19 @@ var DragHandlePlugin = ({
}
return false;
},
+ scroll(view) {
+ if (!element || locked) {
+ return false;
+ }
+ if (view.hasFocus()) {
+ hideHandle();
+ currentNode = null;
+ currentNodePos = -1;
+ onNodeChange == null ? void 0 : onNodeChange({ editor, node: null, pos: -1 });
+ return false;
+ }
+ return false;
+ },
mouseleave(_view, e) {
if (locked) {
return false;
diff --git a/dist/index.js b/dist/index.js
index 39e4c3ef9986cd25544d9d3994cf6a9ada74b145..378d9130abbfdd0e1e4f743b5b537743c9ab07d0 100644
--- a/dist/index.js
+++ b/dist/index.js
@@ -387,6 +387,19 @@ var DragHandlePlugin = ({
}
return false;
},
+ scroll(view) {
+ if (!element || locked) {
+ return false;
+ }
+ if (view.hasFocus()) {
+ hideHandle();
+ currentNode = null;
+ currentNodePos = -1;
+ onNodeChange == null ? void 0 : onNodeChange({ editor, node: null, pos: -1 });
+ return false;
+ }
+ return false;
+ },
mouseleave(_view, e) {
if (locked) {
return false;

View File

@@ -1,55 +0,0 @@
diff --git a/es/dropdown/dropdown.js b/es/dropdown/dropdown.js
index 2e45574398ff68450022a0078e213cc81fe7454e..58ba7789939b7805a89f92b93d222f8fb1168bdf 100644
--- a/es/dropdown/dropdown.js
+++ b/es/dropdown/dropdown.js
@@ -2,7 +2,7 @@
import * as React from 'react';
import LeftOutlined from "@ant-design/icons/es/icons/LeftOutlined";
-import RightOutlined from "@ant-design/icons/es/icons/RightOutlined";
+import { ChevronRight } from 'lucide-react';
import classNames from 'classnames';
import RcDropdown from 'rc-dropdown';
import useEvent from "rc-util/es/hooks/useEvent";
@@ -160,8 +160,10 @@ const Dropdown = props => {
className: `${prefixCls}-menu-submenu-arrow`
}, direction === 'rtl' ? (/*#__PURE__*/React.createElement(LeftOutlined, {
className: `${prefixCls}-menu-submenu-arrow-icon`
- })) : (/*#__PURE__*/React.createElement(RightOutlined, {
- className: `${prefixCls}-menu-submenu-arrow-icon`
+ })) : (/*#__PURE__*/React.createElement(ChevronRight, {
+ size: 16,
+ strokeWidth: 1.8,
+ className: `${prefixCls}-menu-submenu-arrow-icon lucide-custom`
}))),
mode: "vertical",
selectable: false,
diff --git a/es/select/useIcons.js b/es/select/useIcons.js
index 572aaaa0899f429cbf8a7181f2eeada545f76dcb..4e175c8d7713dd6422f8bcdc74ee671a835de6ce 100644
--- a/es/select/useIcons.js
+++ b/es/select/useIcons.js
@@ -4,10 +4,10 @@ import * as React from 'react';
import CheckOutlined from "@ant-design/icons/es/icons/CheckOutlined";
import CloseCircleFilled from "@ant-design/icons/es/icons/CloseCircleFilled";
import CloseOutlined from "@ant-design/icons/es/icons/CloseOutlined";
-import DownOutlined from "@ant-design/icons/es/icons/DownOutlined";
import LoadingOutlined from "@ant-design/icons/es/icons/LoadingOutlined";
import SearchOutlined from "@ant-design/icons/es/icons/SearchOutlined";
import { devUseWarning } from '../_util/warning';
+import { ChevronDown } from 'lucide-react';
export default function useIcons({
suffixIcon,
clearIcon,
@@ -54,8 +54,10 @@ export default function useIcons({
className: iconCls
}));
}
- return getSuffixIconNode(/*#__PURE__*/React.createElement(DownOutlined, {
- className: iconCls
+ return getSuffixIconNode(/*#__PURE__*/React.createElement(ChevronDown, {
+ size: 16,
+ strokeWidth: 1.8,
+ className: `${iconCls} lucide-custom`
}));
};
}

View File

@@ -65,44 +65,11 @@ index e8bd7bb46c8a54b3f55cf3a853ef924195271e01..f956e9f3fe9eb903c78aef3502553b01
await packager.info.emitArtifactBuildCompleted({
file: installerPath,
updateInfo,
diff --git a/out/util/yarn.js b/out/util/yarn.js
index 1ee20f8b252a8f28d0c7b103789cf0a9a427aec1..c2878ec54d57da50bf14225e0c70c9c88664eb8a 100644
--- a/out/util/yarn.js
+++ b/out/util/yarn.js
@@ -140,6 +140,7 @@ async function rebuild(config, { appDir, projectDir }, options) {
arch,
platform,
buildFromSource,
+ ignoreModules: config.excludeReBuildModules || undefined,
projectRootPath: projectDir,
mode: config.nativeRebuilder || "sequential",
disablePreGypCopy: true,
diff --git a/scheme.json b/scheme.json
index 433e2efc9cef156ff5444f0c4520362ed2ef9ea7..0167441bf928a92f59b5dbe70b2317a74dda74c9 100644
index 433e2efc9cef156ff5444f0c4520362ed2ef9ea7..a89c7a9b0b608fef67902c49106a43ebd0fa8b61 100644
--- a/scheme.json
+++ b/scheme.json
@@ -1825,6 +1825,20 @@
"string"
]
},
+ "excludeReBuildModules": {
+ "anyOf": [
+ {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "description": "The modules to exclude from the rebuild."
+ },
"executableArgs": {
"anyOf": [
{
@@ -1975,6 +1989,13 @@
@@ -1975,6 +1975,13 @@
],
"description": "The mime types in addition to specified in the file associations. Use it if you don't want to register a new mime type, but reuse existing."
},
@@ -116,7 +83,7 @@ index 433e2efc9cef156ff5444f0c4520362ed2ef9ea7..0167441bf928a92f59b5dbe70b2317a7
"packageCategory": {
"description": "backward compatibility + to allow specify fpm-only category for all possible fpm targets in one place",
"type": [
@@ -2327,6 +2348,13 @@
@@ -2327,6 +2334,13 @@
"MacConfiguration": {
"additionalProperties": false,
"properties": {
@@ -130,28 +97,7 @@ index 433e2efc9cef156ff5444f0c4520362ed2ef9ea7..0167441bf928a92f59b5dbe70b2317a7
"additionalArguments": {
"anyOf": [
{
@@ -2527,6 +2555,20 @@
"string"
]
},
+ "excludeReBuildModules": {
+ "anyOf": [
+ {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "description": "The modules to exclude from the rebuild."
+ },
"executableName": {
"description": "The executable name. Defaults to `productName`.",
"type": [
@@ -2737,7 +2779,7 @@
@@ -2737,7 +2751,7 @@
"type": "boolean"
},
"minimumSystemVersion": {
@@ -160,7 +106,7 @@ index 433e2efc9cef156ff5444f0c4520362ed2ef9ea7..0167441bf928a92f59b5dbe70b2317a7
"type": [
"null",
"string"
@@ -2959,6 +3001,13 @@
@@ -2959,6 +2973,13 @@
"MasConfiguration": {
"additionalProperties": false,
"properties": {
@@ -174,28 +120,7 @@ index 433e2efc9cef156ff5444f0c4520362ed2ef9ea7..0167441bf928a92f59b5dbe70b2317a7
"additionalArguments": {
"anyOf": [
{
@@ -3159,6 +3208,20 @@
"string"
]
},
+ "excludeReBuildModules": {
+ "anyOf": [
+ {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "description": "The modules to exclude from the rebuild."
+ },
"executableName": {
"description": "The executable name. Defaults to `productName`.",
"type": [
@@ -3369,7 +3432,7 @@
@@ -3369,7 +3390,7 @@
"type": "boolean"
},
"minimumSystemVersion": {
@@ -204,28 +129,7 @@ index 433e2efc9cef156ff5444f0c4520362ed2ef9ea7..0167441bf928a92f59b5dbe70b2317a7
"type": [
"null",
"string"
@@ -6381,6 +6444,20 @@
"string"
]
},
+ "excludeReBuildModules": {
+ "anyOf": [
+ {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "description": "The modules to exclude from the rebuild."
+ },
"executableName": {
"description": "The executable name. Defaults to `productName`.",
"type": [
@@ -6507,6 +6584,13 @@
@@ -6507,6 +6528,13 @@
"string"
]
},
@@ -239,28 +143,7 @@ index 433e2efc9cef156ff5444f0c4520362ed2ef9ea7..0167441bf928a92f59b5dbe70b2317a7
"protocols": {
"anyOf": [
{
@@ -7153,6 +7237,20 @@
"string"
]
},
+ "excludeReBuildModules": {
+ "anyOf": [
+ {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "description": "The modules to exclude from the rebuild."
+ },
"executableName": {
"description": "The executable name. Defaults to `productName`.",
"type": [
@@ -7376,6 +7474,13 @@
@@ -7376,6 +7404,13 @@
],
"description": "MAS (Mac Application Store) development options (`mas-dev` target)."
},

View File

@@ -1,12 +0,0 @@
diff --git a/dist/utils/temp.js b/dist/utils/temp.js
index c0844f640f7927ff87edda13f7c853d10ebb8dd0..3ca3d29e0f4ee700c43ebde47002883955b664b3 100644
--- a/dist/utils/temp.js
+++ b/dist/utils/temp.js
@@ -2,6 +2,7 @@
/* IMPORT */
Object.defineProperty(exports, "__esModule", { value: true });
const path = require("path");
+const process = require("process");
const consts_1 = require("../consts");
const fs_1 = require("./fs");
/* TEMP */

View File

@@ -1,13 +0,0 @@
diff --git a/FileStreamRotator.js b/FileStreamRotator.js
index 639bb9c8f972ba672bd27d9f8b1739d1030cb44b..a12a6d93b61fe782e981027248fa10876151f65f 100644
--- a/FileStreamRotator.js
+++ b/FileStreamRotator.js
@@ -12,7 +12,7 @@
*/
var fs = require('fs');
var path = require('path');
-var moment = require('moment');
+var moment = require('moment').default || require('moment');
var crypto = require('crypto');
var EventEmitter = require('events');

View File

@@ -0,0 +1,85 @@
diff --git a/core.js b/core.js
index 862d66101f441fb4f47dfc8cff5e2d39e1f5a11e..6464bebbf696c39d35f0368f061ea4236225c162 100644
--- a/core.js
+++ b/core.js
@@ -159,7 +159,7 @@ class APIClient {
Accept: 'application/json',
'Content-Type': 'application/json',
'User-Agent': this.getUserAgent(),
- ...getPlatformHeaders(),
+ // ...getPlatformHeaders(),
...this.authHeaders(opts),
};
}
diff --git a/core.mjs b/core.mjs
index 05dbc6cfde51589a2b100d4e4b5b3c1a33b32b89..789fbb4985eb952a0349b779fa83b1a068af6e7e 100644
--- a/core.mjs
+++ b/core.mjs
@@ -152,7 +152,7 @@ export class APIClient {
Accept: 'application/json',
'Content-Type': 'application/json',
'User-Agent': this.getUserAgent(),
- ...getPlatformHeaders(),
+ // ...getPlatformHeaders(),
...this.authHeaders(opts),
};
}
diff --git a/error.mjs b/error.mjs
index 7d19f5578040afa004bc887aab1725e8703d2bac..59ec725b6142299a62798ac4bdedb63ba7d9932c 100644
--- a/error.mjs
+++ b/error.mjs
@@ -36,7 +36,7 @@ export class APIError extends OpenAIError {
if (!status || !headers) {
return new APIConnectionError({ message, cause: castToError(errorResponse) });
}
- const error = errorResponse?.['error'];
+ const error = errorResponse?.['error'] || errorResponse;
if (status === 400) {
return new BadRequestError(status, error, message, headers);
}
diff --git a/resources/embeddings.js b/resources/embeddings.js
index aae578404cb2d09a39ac33fc416f1c215c45eecd..25c54b05bdae64d5c3b36fbb30dc7c8221b14034 100644
--- a/resources/embeddings.js
+++ b/resources/embeddings.js
@@ -36,6 +36,9 @@ class Embeddings extends resource_1.APIResource {
// No encoding_format specified, defaulting to base64 for performance reasons
// See https://github.com/openai/openai-node/pull/1312
let encoding_format = hasUserProvidedEncodingFormat ? body.encoding_format : 'base64';
+ if (body.model.includes('jina')) {
+ encoding_format = undefined;
+ }
if (hasUserProvidedEncodingFormat) {
Core.debug('Request', 'User defined encoding_format:', body.encoding_format);
}
@@ -47,7 +50,7 @@ class Embeddings extends resource_1.APIResource {
...options,
});
// if the user specified an encoding_format, return the response as-is
- if (hasUserProvidedEncodingFormat) {
+ if (hasUserProvidedEncodingFormat || body.model.includes('jina')) {
return response;
}
// in this stage, we are sure the user did not specify an encoding_format
diff --git a/resources/embeddings.mjs b/resources/embeddings.mjs
index 0df3c6cc79a520e54acb4c2b5f77c43b774035ff..aa488b8a11b2c413c0a663d9a6059d286d7b5faf 100644
--- a/resources/embeddings.mjs
+++ b/resources/embeddings.mjs
@@ -10,6 +10,9 @@ export class Embeddings extends APIResource {
// No encoding_format specified, defaulting to base64 for performance reasons
// See https://github.com/openai/openai-node/pull/1312
let encoding_format = hasUserProvidedEncodingFormat ? body.encoding_format : 'base64';
+ if (body.model.includes('jina')) {
+ encoding_format = undefined;
+ }
if (hasUserProvidedEncodingFormat) {
Core.debug('Request', 'User defined encoding_format:', body.encoding_format);
}
@@ -21,7 +24,7 @@ export class Embeddings extends APIResource {
...options,
});
// if the user specified an encoding_format, return the response as-is
- if (hasUserProvidedEncodingFormat) {
+ if (hasUserProvidedEncodingFormat || body.model.includes('jina')) {
return response;
}
// in this stage, we are sure the user did not specify an encoding_format

View File

@@ -1,348 +0,0 @@
diff --git a/src/constants/languages.d.ts b/src/constants/languages.d.ts
new file mode 100644
index 0000000000000000000000000000000000000000..6a2ba5086187622b8ca8887bcc7406018fba8a89
--- /dev/null
+++ b/src/constants/languages.d.ts
@@ -0,0 +1,43 @@
+/**
+ * Languages with existing tesseract traineddata
+ * https://tesseract-ocr.github.io/tessdoc/Data-Files#data-files-for-version-400-november-29-2016
+ */
+
+// Define the language codes as string literals
+type LanguageCode =
+ | 'afr' | 'amh' | 'ara' | 'asm' | 'aze' | 'aze_cyrl' | 'bel' | 'ben' | 'bod' | 'bos'
+ | 'bul' | 'cat' | 'ceb' | 'ces' | 'chi_sim' | 'chi_tra' | 'chr' | 'cym' | 'dan' | 'deu'
+ | 'dzo' | 'ell' | 'eng' | 'enm' | 'epo' | 'est' | 'eus' | 'fas' | 'fin' | 'fra'
+ | 'frk' | 'frm' | 'gle' | 'glg' | 'grc' | 'guj' | 'hat' | 'heb' | 'hin' | 'hrv'
+ | 'hun' | 'iku' | 'ind' | 'isl' | 'ita' | 'ita_old' | 'jav' | 'jpn' | 'kan' | 'kat'
+ | 'kat_old' | 'kaz' | 'khm' | 'kir' | 'kor' | 'kur' | 'lao' | 'lat' | 'lav' | 'lit'
+ | 'mal' | 'mar' | 'mkd' | 'mlt' | 'msa' | 'mya' | 'nep' | 'nld' | 'nor' | 'ori'
+ | 'pan' | 'pol' | 'por' | 'pus' | 'ron' | 'rus' | 'san' | 'sin' | 'slk' | 'slv'
+ | 'spa' | 'spa_old' | 'sqi' | 'srp' | 'srp_latn' | 'swa' | 'swe' | 'syr' | 'tam' | 'tel'
+ | 'tgk' | 'tgl' | 'tha' | 'tir' | 'tur' | 'uig' | 'ukr' | 'urd' | 'uzb' | 'uzb_cyrl'
+ | 'vie' | 'yid';
+
+// Define the language keys as string literals
+type LanguageKey =
+ | 'AFR' | 'AMH' | 'ARA' | 'ASM' | 'AZE' | 'AZE_CYRL' | 'BEL' | 'BEN' | 'BOD' | 'BOS'
+ | 'BUL' | 'CAT' | 'CEB' | 'CES' | 'CHI_SIM' | 'CHI_TRA' | 'CHR' | 'CYM' | 'DAN' | 'DEU'
+ | 'DZO' | 'ELL' | 'ENG' | 'ENM' | 'EPO' | 'EST' | 'EUS' | 'FAS' | 'FIN' | 'FRA'
+ | 'FRK' | 'FRM' | 'GLE' | 'GLG' | 'GRC' | 'GUJ' | 'HAT' | 'HEB' | 'HIN' | 'HRV'
+ | 'HUN' | 'IKU' | 'IND' | 'ISL' | 'ITA' | 'ITA_OLD' | 'JAV' | 'JPN' | 'KAN' | 'KAT'
+ | 'KAT_OLD' | 'KAZ' | 'KHM' | 'KIR' | 'KOR' | 'KUR' | 'LAO' | 'LAT' | 'LAV' | 'LIT'
+ | 'MAL' | 'MAR' | 'MKD' | 'MLT' | 'MSA' | 'MYA' | 'NEP' | 'NLD' | 'NOR' | 'ORI'
+ | 'PAN' | 'POL' | 'POR' | 'PUS' | 'RON' | 'RUS' | 'SAN' | 'SIN' | 'SLK' | 'SLV'
+ | 'SPA' | 'SPA_OLD' | 'SQI' | 'SRP' | 'SRP_LATN' | 'SWA' | 'SWE' | 'SYR' | 'TAM' | 'TEL'
+ | 'TGK' | 'TGL' | 'THA' | 'TIR' | 'TUR' | 'UIG' | 'UKR' | 'URD' | 'UZB' | 'UZB_CYRL'
+ | 'VIE' | 'YID';
+
+// Create a mapped type to ensure each key maps to its specific value
+type LanguagesMap = {
+ [K in LanguageKey]: LanguageCode;
+};
+
+// Declare the exported constant with the specific type
+export const LANGUAGES: LanguagesMap;
+
+// Export the individual types for use in other modules
+export type { LanguageCode, LanguageKey, LanguagesMap };
\ No newline at end of file
diff --git a/src/index.d.ts b/src/index.d.ts
index 1f5a9c8094fe4de7983467f9efb43bdb4de535f2..16dc95cf68663673e37e189b719cb74897b7735f 100644
--- a/src/index.d.ts
+++ b/src/index.d.ts
@@ -1,31 +1,74 @@
+// Import the languages types
+import { LanguagesMap } from "./constants/languages";
+
+/// <reference types="node" />
+
declare namespace Tesseract {
- function createScheduler(): Scheduler
- function createWorker(langs?: string | string[] | Lang[], oem?: OEM, options?: Partial<WorkerOptions>, config?: string | Partial<InitOptions>): Promise<Worker>
- function setLogging(logging: boolean): void
- function recognize(image: ImageLike, langs?: string, options?: Partial<WorkerOptions>): Promise<RecognizeResult>
- function detect(image: ImageLike, options?: Partial<WorkerOptions>): any
+ function createScheduler(): Scheduler;
+ function createWorker(
+ langs?: LanguageCode | LanguageCode[] | Lang[],
+ oem?: OEM,
+ options?: Partial<WorkerOptions>,
+ config?: string | Partial<InitOptions>
+ ): Promise<Worker>;
+ function setLogging(logging: boolean): void;
+ function recognize(
+ image: ImageLike,
+ langs?: LanguageCode,
+ options?: Partial<WorkerOptions>
+ ): Promise<RecognizeResult>;
+ function detect(image: ImageLike, options?: Partial<WorkerOptions>): any;
+
+ // Export languages constant
+ const languages: LanguagesMap;
+
+ type LanguageCode = import("./constants/languages").LanguageCode;
+ type LanguageKey = import("./constants/languages").LanguageKey;
interface Scheduler {
- addWorker(worker: Worker): string
- addJob(action: 'recognize', ...args: Parameters<Worker['recognize']>): Promise<RecognizeResult>
- addJob(action: 'detect', ...args: Parameters<Worker['detect']>): Promise<DetectResult>
- terminate(): Promise<any>
- getQueueLen(): number
- getNumWorkers(): number
+ addWorker(worker: Worker): string;
+ addJob(
+ action: "recognize",
+ ...args: Parameters<Worker["recognize"]>
+ ): Promise<RecognizeResult>;
+ addJob(
+ action: "detect",
+ ...args: Parameters<Worker["detect"]>
+ ): Promise<DetectResult>;
+ terminate(): Promise<any>;
+ getQueueLen(): number;
+ getNumWorkers(): number;
}
interface Worker {
- load(jobId?: string): Promise<ConfigResult>
- writeText(path: string, text: string, jobId?: string): Promise<ConfigResult>
- readText(path: string, jobId?: string): Promise<ConfigResult>
- removeText(path: string, jobId?: string): Promise<ConfigResult>
- FS(method: string, args: any[], jobId?: string): Promise<ConfigResult>
- reinitialize(langs?: string | Lang[], oem?: OEM, config?: string | Partial<InitOptions>, jobId?: string): Promise<ConfigResult>
- setParameters(params: Partial<WorkerParams>, jobId?: string): Promise<ConfigResult>
- getImage(type: imageType): string
- recognize(image: ImageLike, options?: Partial<RecognizeOptions>, output?: Partial<OutputFormats>, jobId?: string): Promise<RecognizeResult>
- detect(image: ImageLike, jobId?: string): Promise<DetectResult>
- terminate(jobId?: string): Promise<ConfigResult>
+ load(jobId?: string): Promise<ConfigResult>;
+ writeText(
+ path: string,
+ text: string,
+ jobId?: string
+ ): Promise<ConfigResult>;
+ readText(path: string, jobId?: string): Promise<ConfigResult>;
+ removeText(path: string, jobId?: string): Promise<ConfigResult>;
+ FS(method: string, args: any[], jobId?: string): Promise<ConfigResult>;
+ reinitialize(
+ langs?: string | Lang[],
+ oem?: OEM,
+ config?: string | Partial<InitOptions>,
+ jobId?: string
+ ): Promise<ConfigResult>;
+ setParameters(
+ params: Partial<WorkerParams>,
+ jobId?: string
+ ): Promise<ConfigResult>;
+ getImage(type: imageType): string;
+ recognize(
+ image: ImageLike,
+ options?: Partial<RecognizeOptions>,
+ output?: Partial<OutputFormats>,
+ jobId?: string
+ ): Promise<RecognizeResult>;
+ detect(image: ImageLike, jobId?: string): Promise<DetectResult>;
+ terminate(jobId?: string): Promise<ConfigResult>;
}
interface Lang {
@@ -34,43 +77,43 @@ declare namespace Tesseract {
}
interface InitOptions {
- load_system_dawg: string
- load_freq_dawg: string
- load_unambig_dawg: string
- load_punc_dawg: string
- load_number_dawg: string
- load_bigram_dawg: string
- }
-
- type LoggerMessage = {
- jobId: string
- progress: number
- status: string
- userJobId: string
- workerId: string
+ load_system_dawg: string;
+ load_freq_dawg: string;
+ load_unambig_dawg: string;
+ load_punc_dawg: string;
+ load_number_dawg: string;
+ load_bigram_dawg: string;
}
-
+
+ type LoggerMessage = {
+ jobId: string;
+ progress: number;
+ status: string;
+ userJobId: string;
+ workerId: string;
+ };
+
interface WorkerOptions {
- corePath: string
- langPath: string
- cachePath: string
- dataPath: string
- workerPath: string
- cacheMethod: string
- workerBlobURL: boolean
- gzip: boolean
- legacyLang: boolean
- legacyCore: boolean
- logger: (arg: LoggerMessage) => void,
- errorHandler: (arg: any) => void
+ corePath: string;
+ langPath: string;
+ cachePath: string;
+ dataPath: string;
+ workerPath: string;
+ cacheMethod: string;
+ workerBlobURL: boolean;
+ gzip: boolean;
+ legacyLang: boolean;
+ legacyCore: boolean;
+ logger: (arg: LoggerMessage) => void;
+ errorHandler: (arg: any) => void;
}
interface WorkerParams {
- tessedit_pageseg_mode: PSM
- tessedit_char_whitelist: string
- tessedit_char_blacklist: string
- preserve_interword_spaces: string
- user_defined_dpi: string
- [propName: string]: any
+ tessedit_pageseg_mode: PSM;
+ tessedit_char_whitelist: string;
+ tessedit_char_blacklist: string;
+ preserve_interword_spaces: string;
+ user_defined_dpi: string;
+ [propName: string]: any;
}
interface OutputFormats {
text: boolean;
@@ -88,36 +131,36 @@ declare namespace Tesseract {
debug: boolean;
}
interface RecognizeOptions {
- rectangle: Rectangle
- pdfTitle: string
- pdfTextOnly: boolean
- rotateAuto: boolean
- rotateRadians: number
+ rectangle: Rectangle;
+ pdfTitle: string;
+ pdfTextOnly: boolean;
+ rotateAuto: boolean;
+ rotateRadians: number;
}
interface ConfigResult {
- jobId: string
- data: any
+ jobId: string;
+ data: any;
}
interface RecognizeResult {
- jobId: string
- data: Page
+ jobId: string;
+ data: Page;
}
interface DetectResult {
- jobId: string
- data: DetectData
+ jobId: string;
+ data: DetectData;
}
interface DetectData {
- tesseract_script_id: number | null
- script: string | null
- script_confidence: number | null
- orientation_degrees: number | null
- orientation_confidence: number | null
+ tesseract_script_id: number | null;
+ script: string | null;
+ script_confidence: number | null;
+ orientation_degrees: number | null;
+ orientation_confidence: number | null;
}
interface Rectangle {
- left: number
- top: number
- width: number
- height: number
+ left: number;
+ top: number;
+ width: number;
+ height: number;
}
enum OEM {
TESSERACT_ONLY,
@@ -126,28 +169,36 @@ declare namespace Tesseract {
DEFAULT,
}
enum PSM {
- OSD_ONLY = '0',
- AUTO_OSD = '1',
- AUTO_ONLY = '2',
- AUTO = '3',
- SINGLE_COLUMN = '4',
- SINGLE_BLOCK_VERT_TEXT = '5',
- SINGLE_BLOCK = '6',
- SINGLE_LINE = '7',
- SINGLE_WORD = '8',
- CIRCLE_WORD = '9',
- SINGLE_CHAR = '10',
- SPARSE_TEXT = '11',
- SPARSE_TEXT_OSD = '12',
- RAW_LINE = '13'
+ OSD_ONLY = "0",
+ AUTO_OSD = "1",
+ AUTO_ONLY = "2",
+ AUTO = "3",
+ SINGLE_COLUMN = "4",
+ SINGLE_BLOCK_VERT_TEXT = "5",
+ SINGLE_BLOCK = "6",
+ SINGLE_LINE = "7",
+ SINGLE_WORD = "8",
+ CIRCLE_WORD = "9",
+ SINGLE_CHAR = "10",
+ SPARSE_TEXT = "11",
+ SPARSE_TEXT_OSD = "12",
+ RAW_LINE = "13",
}
const enum imageType {
COLOR = 0,
GREY = 1,
- BINARY = 2
+ BINARY = 2,
}
- type ImageLike = string | HTMLImageElement | HTMLCanvasElement | HTMLVideoElement
- | CanvasRenderingContext2D | File | Blob | Buffer | OffscreenCanvas;
+ type ImageLike =
+ | string
+ | HTMLImageElement
+ | HTMLCanvasElement
+ | HTMLVideoElement
+ | CanvasRenderingContext2D
+ | File
+ | Blob
+ | (typeof Buffer extends undefined ? never : Buffer)
+ | OffscreenCanvas;
interface Block {
paragraphs: Paragraph[];
text: string;
@@ -179,7 +230,7 @@ declare namespace Tesseract {
text: string;
confidence: number;
baseline: Baseline;
- rowAttributes: RowAttributes
+ rowAttributes: RowAttributes;
bbox: Bbox;
}
interface Paragraph {

View File

@@ -5,5 +5,3 @@ httpTimeout: 300000
nodeLinker: node-modules
yarnPath: .yarn/releases/yarn-4.9.1.cjs
npmRegistryServer: https://registry.npmjs.org
npmPublishRegistry: https://registry.npmjs.org

View File

@@ -1 +0,0 @@
CLAUDE.md

View File

@@ -1,51 +0,0 @@
# AI Assistant Guide
This file provides guidance to AI coding assistants when working with code in this repository. Adherence to these guidelines is crucial for maintaining code quality and consistency.
## Guiding Principles (MUST FOLLOW)
- **Keep it clear**: Write code that is easy to read, maintain, and explain.
- **Match the house style**: Reuse existing patterns, naming, and conventions.
- **Search smart**: Prefer `ast-grep` for semantic queries; fall back to `rg`/`grep` when needed.
- **Build with HeroUI**: Use HeroUI for every new UI component; never add `antd` or `styled-components`.
- **Log centrally**: Route all logging through `loggerService` with the right context—no `console.log`.
- **Research via subagent**: Lean on `subagent` for external docs, APIs, news, and references.
- **Seek review**: Ask a human developer to review substantial changes before merging.
- **Commit in rhythm**: Keep commits small, conventional, and emoji-tagged.
## Development Commands
- **Install**: `yarn install` - Install all project dependencies
- **Development**: `yarn dev` - Runs Electron app in development mode with hot reload
- **Debug**: `yarn debug` - Starts with debugging enabled, use `chrome://inspect` to attach debugger
- **Build Check**: `yarn build:check` - **REQUIRED** before commits (lint + test + typecheck)
- If having i18n sort issues, run `yarn sync:i18n` first to sync template
- If having formatting issues, run `yarn format` first
- **Test**: `yarn test` - Run all tests (Vitest) across main and renderer processes
- **Single Test**:
- `yarn test:main` - Run tests for main process only
- `yarn test:renderer` - Run tests for renderer process only
- **Lint**: `yarn lint` - Fix linting issues and run TypeScript type checking
- **Format**: `yarn format` - Auto-format code using Biome
## Project Architecture
### Electron Structure
- **Main Process** (`src/main/`): Node.js backend with services (MCP, Knowledge, Storage, etc.)
- **Renderer Process** (`src/renderer/`): React UI with Redux state management
- **Preload Scripts** (`src/preload/`): Secure IPC bridge
### Key Components
- **AI Core** (`src/renderer/src/aiCore/`): Middleware pipeline for multiple AI providers.
- **Services** (`src/main/services/`): MCPService, KnowledgeService, WindowService, etc.
- **Build System**: Electron-Vite with experimental rolldown-vite, yarn workspaces.
- **State Management**: Redux Toolkit (`src/renderer/src/store/`) for predictable state.
- **UI Components**: HeroUI (`@heroui/*`) for all new UI elements.
### Logging
```typescript
import { loggerService } from '@logger'
const logger = loggerService.withContext('moduleName')
// Renderer: loggerService.initWindowSource('windowName') first
logger.info('message', CONTEXT)
```

View File

@@ -1,4 +1,4 @@
[中文](docs/CONTRIBUTING.zh.md) | [English](CONTRIBUTING.md)
[中文](./docs/CONTRIBUTING.zh.md) | [English](./CONTRIBUTING.md)
# Cherry Studio Contributor Guide
@@ -58,10 +58,6 @@ git commit --signoff -m "Your commit message"
Maintainers are here to help you implement your use case within a reasonable timeframe. They will do their best to review your code and provide constructive feedback promptly. However, if you get stuck during the review process or feel your Pull Request is not receiving the attention it deserves, please contact us via comments in the Issue or through the [Community](README.md#-community).
### Participating in the Test Plan
The Test Plan aims to provide users with a more stable application experience and faster iteration speed. For details, please refer to the [Test Plan](docs/testplan-en.md).
### Other Suggestions
- **Contact Developers**: Before submitting a PR, you can contact the developers first to discuss or get help.

692
LICENSE
View File

@@ -1,661 +1,87 @@
GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
**许可协议 (Licensing)**
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
本项目采用**区分用户的双重许可 (User-Segmented Dual Licensing)** 模式。
Preamble
**核心原则:**
The GNU Affero General Public License is a free, copyleft license for
software and other kinds of works, specifically designed to ensure
cooperation with the community in the case of network server software.
* **个人用户 和 10人及以下企业/组织:** 默认适用 **GNU Affero 通用公共许可证 v3.0 (AGPLv3)**。
* **超过10人的企业/组织:** **必须** 获取 **商业许可证 (Commercial License)**。
The licenses for most software and other practical works are designed
to take away your freedom to share and change the works. By contrast,
our General Public Licenses are intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users.
定义“10人及以下”
指在您的组织包括公司、非营利组织、政府机构、教育机构等任何实体能够访问、使用或以任何方式直接或间接受益于本软件Cherry Studio功能的个人总数不超过10人。这包括但不限于开发者、测试人员、运营人员、最终用户、通过集成系统间接使用者等。
When we speak of free software, we are referring to freedom, not
price. Our General Public Licenses are designed to make sure that you
have the freedom to distribute copies of free software (and charge for
them if you wish), that you receive source code or can get it if you
want it, that you can change the software or use pieces of it in new
free programs, and that you know you can do these things.
---
Developers that use our General Public Licenses protect your rights
with two steps: (1) assert copyright on the software, and (2) offer
you this License which gives you legal permission to copy, distribute
and/or modify the software.
**1. 开源许可证 (Open Source License): AGPLv3 - 适用于个人及10人及以下组织**
A secondary benefit of defending all users' freedom is that
improvements made in alternate versions of the program, if they
receive widespread use, become available for other developers to
incorporate. Many developers of free software are heartened and
encouraged by the resulting cooperation. However, in the case of
software used on network servers, this result may fail to come about.
The GNU General Public License permits making a modified version and
letting the public access it on a server without ever releasing its
source code to the public.
* 如果您是个人用户或者您的组织满足上述“10人及以下”的定义您可以在 **AGPLv3** 的条款下自由使用、修改和分发 Cherry Studio。AGPLv3 的完整文本可以访问 [https://www.gnu.org/licenses/agpl-3.0.html](https://www.gnu.org/licenses/agpl-3.0.html) 获取。
* **核心义务:** AGPLv3 的一个关键要求是,如果您修改了 Cherry Studio 并通过网络提供服务,或者分发了修改后的版本,您必须以 AGPLv3 许可证向接收者提供相应的**完整源代码**。即使您符合“10人及以下”的标准如果您希望避免此源代码公开义务您也需要考虑获取商业许可证见下文
* 使用前请务必仔细阅读并理解 AGPLv3 的所有条款。
The GNU Affero General Public License is designed specifically to
ensure that, in such cases, the modified source code becomes available
to the community. It requires the operator of a network server to
provide the source code of the modified version running there to the
users of that server. Therefore, public use of a modified version, on
a publicly accessible server, gives the public access to the source
code of the modified version.
**2. 商业许可证 (Commercial License) - 适用于超过10人的组织或希望规避 AGPLv3 义务的用户**
An older license, called the Affero General Public License and
published by Affero, was designed to accomplish similar goals. This is
a different license, not a version of the Affero GPL, but Affero has
released a new version of the Affero GPL which permits relicensing under
this license.
* **强制要求:** 如果您的组织**不**满足上述“10人及以下”的定义即有11人或更多人可以访问、使用或受益于本软件您**必须**联系我们获取并签署一份商业许可证才能使用 Cherry Studio。
* **自愿选择:** 即使您的组织满足“10人及以下”的条件但如果您的使用场景**无法满足 AGPLv3 的条款要求**(特别是关于**源代码公开**的义务),或者您需要 AGPLv3 **未提供**的特定商业条款(如保证、赔偿、无 Copyleft 限制等),您也**必须**联系我们获取并签署一份商业许可证。
* **需要商业许可证的常见情况包括(但不限于):**
* 您的组织规模超过10人。
* (无论组织规模)您希望分发修改过的 Cherry Studio 版本,但**不希望**根据 AGPLv3 公开您修改部分的源代码。
* (无论组织规模)您希望基于修改过的 Cherry Studio 提供网络服务SaaS但**不希望**根据 AGPLv3 向服务使用者提供修改后的源代码。
* (无论组织规模)您的公司政策、客户合同或项目要求不允许使用 AGPLv3 许可的软件,或要求闭源分发及保密。
* 商业许可证将为您提供豁免 AGPLv3 义务(如源代码公开)的权利,并可能包含额外的商业保障条款。
* **获取商业许可:** 请通过邮箱 **bd@cherry-ai.com** 联系 Cherry Studio 开发团队洽谈商业授权事宜。
The precise terms and conditions for copying, distribution and
modification follow.
**3. 贡献 (Contributions)**
TERMS AND CONDITIONS
* 我们欢迎社区对 Cherry Studio 的贡献。所有向本项目提交的贡献都将被视为在 **AGPLv3** 许可证下提供。
* 通过向本项目提交贡献(例如通过 Pull Request即表示您同意您的代码以 AGPLv3 许可证授权给本项目及所有后续使用者(无论这些使用者最终遵循 AGPLv3 还是商业许可)。
* 您也理解并同意,您的贡献可能会被包含在根据商业许可证分发的 Cherry Studio 版本中。
0. Definitions.
**4. 其他条款 (Other Terms)**
"This License" refers to version 3 of the GNU Affero General Public License.
* 关于商业许可证的具体条款和条件,以双方签署的正式商业许可协议为准。
* 项目维护者保留根据需要更新本许可政策(包括用户规模定义和阈值)的权利。相关更新将通过项目官方渠道(如代码仓库、官方网站)进行通知。
"Copyright" also means copyright-like laws that apply to other kinds of
works, such as semiconductor masks.
---
"The Program" refers to any copyrightable work licensed under this
License. Each licensee is addressed as "you". "Licensees" and
"recipients" may be individuals or organizations.
**Licensing**
To "modify" a work means to copy from or adapt all or part of the work
in a fashion requiring copyright permission, other than the making of an
exact copy. The resulting work is called a "modified version" of the
earlier work or a work "based on" the earlier work.
This project employs a **User-Segmented Dual Licensing** model.
A "covered work" means either the unmodified Program or a work based
on the Program.
**Core Principle:**
To "propagate" a work means to do anything with it that, without
permission, would make you directly or secondarily liable for
infringement under applicable copyright law, except executing it on a
computer or modifying a private copy. Propagation includes copying,
distribution (with or without modification), making available to the
public, and in some countries other activities as well.
* **Individual Users and Organizations with 10 or Fewer Individuals:** Governed by default under the **GNU Affero General Public License v3.0 (AGPLv3)**.
* **Organizations with More Than 10 Individuals:** **Must** obtain a **Commercial License**.
To "convey" a work means any kind of propagation that enables other
parties to make or receive copies. Mere interaction with a user through
a computer network, with no transfer of a copy, is not conveying.
Definition: "10 or Fewer Individuals"
Refers to any organization (including companies, non-profits, government agencies, educational institutions, etc.) where the total number of individuals who can access, use, or in any way directly or indirectly benefit from the functionality of this software (Cherry Studio) does not exceed 10. This includes, but is not limited to, developers, testers, operations staff, end-users, and indirect users via integrated systems.
An interactive user interface displays "Appropriate Legal Notices"
to the extent that it includes a convenient and prominently visible
feature that (1) displays an appropriate copyright notice, and (2)
tells the user that there is no warranty for the work (except to the
extent that warranties are provided), that licensees may convey the
work under this License, and how to view a copy of this License. If
the interface presents a list of user commands or options, such as a
menu, a prominent item in the list meets this criterion.
---
1. Source Code.
**1. Open Source License: AGPLv3 - For Individuals and Organizations of 10 or Fewer**
The "source code" for a work means the preferred form of the work
for making modifications to it. "Object code" means any non-source
form of a work.
* If you are an individual user, or if your organization meets the "10 or Fewer Individuals" definition above, you are free to use, modify, and distribute Cherry Studio under the terms of the **AGPLv3**. The full text of the AGPLv3 can be found in the LICENSE file at [https://www.gnu.org/licenses/agpl-3.0.html](https://www.gnu.org/licenses/agpl-3.0.html).
* **Core Obligation:** A key requirement of the AGPLv3 is that if you modify Cherry Studio and make it available over a network, or distribute the modified version, you must provide the **complete corresponding source code** under the AGPLv3 license to the recipients. Even if you qualify under the "10 or Fewer Individuals" rule, if you wish to avoid this source code disclosure obligation, you will need to obtain a Commercial License (see below).
* Please read and understand the full terms of the AGPLv3 carefully before use.
A "Standard Interface" means an interface that either is an official
standard defined by a recognized standards body, or, in the case of
interfaces specified for a particular programming language, one that
is widely used among developers working in that language.
**2. Commercial License - For Organizations with More Than 10 Individuals, or Users Needing to Avoid AGPLv3 Obligations**
The "System Libraries" of an executable work include anything, other
than the work as a whole, that (a) is included in the normal form of
packaging a Major Component, but which is not part of that Major
Component, and (b) serves only to enable use of the work with that
Major Component, or to implement a Standard Interface for which an
implementation is available to the public in source code form. A
"Major Component", in this context, means a major essential component
(kernel, window system, and so on) of the specific operating system
(if any) on which the executable work runs, or a compiler used to
produce the work, or an object code interpreter used to run it.
* **Mandatory Requirement:** If your organization does **not** meet the "10 or Fewer Individuals" definition above (i.e., 11 or more individuals can access, use, or benefit from the software), you **must** contact us to obtain and execute a Commercial License to use Cherry Studio.
* **Voluntary Option:** Even if your organization meets the "10 or Fewer Individuals" condition, if your intended use case **cannot comply with the terms of the AGPLv3** (particularly the obligations regarding **source code disclosure**), or if you require specific commercial terms **not offered** by the AGPLv3 (such as warranties, indemnities, or freedom from copyleft restrictions), you also **must** contact us to obtain and execute a Commercial License.
* **Common scenarios requiring a Commercial License include (but are not limited to):**
* Your organization has more than 10 individuals who can access, use, or benefit from the software.
* (Regardless of organization size) You wish to distribute a modified version of Cherry Studio but **do not want** to disclose the source code of your modifications under AGPLv3.
* (Regardless of organization size) You wish to provide a network service (SaaS) based on a modified version of Cherry Studio but **do not want** to provide the modified source code to users of the service under AGPLv3.
* (Regardless of organization size) Your corporate policies, client contracts, or project requirements prohibit the use of AGPLv3-licensed software or mandate closed-source distribution and confidentiality.
* The Commercial License grants you rights exempting you from AGPLv3 obligations (like source code disclosure) and may include additional commercial assurances.
* **Obtaining a Commercial License:** Please contact the Cherry Studio development team via email at **bd@cherry-ai.com** to discuss commercial licensing options.
The "Corresponding Source" for a work in object code form means all
the source code needed to generate, install, and (for an executable
work) run the object code and to modify the work, including scripts to
control those activities. However, it does not include the work's
System Libraries, or general-purpose tools or generally available free
programs which are used unmodified in performing those activities but
which are not part of the work. For example, Corresponding Source
includes interface definition files associated with source files for
the work, and the source code for shared libraries and dynamically
linked subprograms that the work is specifically designed to require,
such as by intimate data communication or control flow between those
subprograms and other parts of the work.
**3. Contributions**
The Corresponding Source need not include anything that users
can regenerate automatically from other parts of the Corresponding
Source.
* We welcome community contributions to Cherry Studio. All contributions submitted to this project are considered to be offered under the **AGPLv3** license.
* By submitting a contribution to this project (e.g., via a Pull Request), you agree to license your code under the AGPLv3 to the project and all its downstream users (regardless of whether those users ultimately operate under AGPLv3 or a Commercial License).
* You also understand and agree that your contribution may be included in distributions of Cherry Studio offered under our commercial license.
The Corresponding Source for a work in source code form is that
same work.
**4. Other Terms**
2. Basic Permissions.
All rights granted under this License are granted for the term of
copyright on the Program, and are irrevocable provided the stated
conditions are met. This License explicitly affirms your unlimited
permission to run the unmodified Program. The output from running a
covered work is covered by this License only if the output, given its
content, constitutes a covered work. This License acknowledges your
rights of fair use or other equivalent, as provided by copyright law.
You may make, run and propagate covered works that you do not
convey, without conditions so long as your license otherwise remains
in force. You may convey covered works to others for the sole purpose
of having them make modifications exclusively for you, or provide you
with facilities for running those works, provided that you comply with
the terms of this License in conveying all material for which you do
not control copyright. Those thus making or running the covered works
for you must do so exclusively on your behalf, under your direction
and control, on terms that prohibit them from making any copies of
your copyrighted material outside their relationship with you.
Conveying under any other circumstances is permitted solely under
the conditions stated below. Sublicensing is not allowed; section 10
makes it unnecessary.
3. Protecting Users' Legal Rights From Anti-Circumvention Law.
No covered work shall be deemed part of an effective technological
measure under any applicable law fulfilling obligations under article
11 of the WIPO copyright treaty adopted on 20 December 1996, or
similar laws prohibiting or restricting circumvention of such
measures.
When you convey a covered work, you waive any legal power to forbid
circumvention of technological measures to the extent such circumvention
is effected by exercising rights under this License with respect to
the covered work, and you disclaim any intention to limit operation or
modification of the work as a means of enforcing, against the work's
users, your or third parties' legal rights to forbid circumvention of
technological measures.
4. Conveying Verbatim Copies.
You may convey verbatim copies of the Program's source code as you
receive it, in any medium, provided that you conspicuously and
appropriately publish on each copy an appropriate copyright notice;
keep intact all notices stating that this License and any
non-permissive terms added in accord with section 7 apply to the code;
keep intact all notices of the absence of any warranty; and give all
recipients a copy of this License along with the Program.
You may charge any price or no price for each copy that you convey,
and you may offer support or warranty protection for a fee.
5. Conveying Modified Source Versions.
You may convey a work based on the Program, or the modifications to
produce it from the Program, in the form of source code under the
terms of section 4, provided that you also meet all of these conditions:
a) The work must carry prominent notices stating that you modified
it, and giving a relevant date.
b) The work must carry prominent notices stating that it is
released under this License and any conditions added under section
7. This requirement modifies the requirement in section 4 to
"keep intact all notices".
c) You must license the entire work, as a whole, under this
License to anyone who comes into possession of a copy. This
License will therefore apply, along with any applicable section 7
additional terms, to the whole of the work, and all its parts,
regardless of how they are packaged. This License gives no
permission to license the work in any other way, but it does not
invalidate such permission if you have separately received it.
d) If the work has interactive user interfaces, each must display
Appropriate Legal Notices; however, if the Program has interactive
interfaces that do not display Appropriate Legal Notices, your
work need not make them do so.
A compilation of a covered work with other separate and independent
works, which are not by their nature extensions of the covered work,
and which are not combined with it such as to form a larger program,
in or on a volume of a storage or distribution medium, is called an
"aggregate" if the compilation and its resulting copyright are not
used to limit the access or legal rights of the compilation's users
beyond what the individual works permit. Inclusion of a covered work
in an aggregate does not cause this License to apply to the other
parts of the aggregate.
6. Conveying Non-Source Forms.
You may convey a covered work in object code form under the terms
of sections 4 and 5, provided that you also convey the
machine-readable Corresponding Source under the terms of this License,
in one of these ways:
a) Convey the object code in, or embodied in, a physical product
(including a physical distribution medium), accompanied by the
Corresponding Source fixed on a durable physical medium
customarily used for software interchange.
b) Convey the object code in, or embodied in, a physical product
(including a physical distribution medium), accompanied by a
written offer, valid for at least three years and valid for as
long as you offer spare parts or customer support for that product
model, to give anyone who possesses the object code either (1) a
copy of the Corresponding Source for all the software in the
product that is covered by this License, on a durable physical
medium customarily used for software interchange, for a price no
more than your reasonable cost of physically performing this
conveying of source, or (2) access to copy the
Corresponding Source from a network server at no charge.
c) Convey individual copies of the object code with a copy of the
written offer to provide the Corresponding Source. This
alternative is allowed only occasionally and noncommercially, and
only if you received the object code with such an offer, in accord
with subsection 6b.
d) Convey the object code by offering access from a designated
place (gratis or for a charge), and offer equivalent access to the
Corresponding Source in the same way through the same place at no
further charge. You need not require recipients to copy the
Corresponding Source along with the object code. If the place to
copy the object code is a network server, the Corresponding Source
may be on a different server (operated by you or a third party)
that supports equivalent copying facilities, provided you maintain
clear directions next to the object code saying where to find the
Corresponding Source. Regardless of what server hosts the
Corresponding Source, you remain obligated to ensure that it is
available for as long as needed to satisfy these requirements.
e) Convey the object code using peer-to-peer transmission, provided
you inform other peers where the object code and Corresponding
Source of the work are being offered to the general public at no
charge under subsection 6d.
A separable portion of the object code, whose source code is excluded
from the Corresponding Source as a System Library, need not be
included in conveying the object code work.
A "User Product" is either (1) a "consumer product", which means any
tangible personal property which is normally used for personal, family,
or household purposes, or (2) anything designed or sold for incorporation
into a dwelling. In determining whether a product is a consumer product,
doubtful cases shall be resolved in favor of coverage. For a particular
product received by a particular user, "normally used" refers to a
typical or common use of that class of product, regardless of the status
of the particular user or of the way in which the particular user
actually uses, or expects or is expected to use, the product. A product
is a consumer product regardless of whether the product has substantial
commercial, industrial or non-consumer uses, unless such uses represent
the only significant mode of use of the product.
"Installation Information" for a User Product means any methods,
procedures, authorization keys, or other information required to install
and execute modified versions of a covered work in that User Product from
a modified version of its Corresponding Source. The information must
suffice to ensure that the continued functioning of the modified object
code is in no case prevented or interfered with solely because
modification has been made.
If you convey an object code work under this section in, or with, or
specifically for use in, a User Product, and the conveying occurs as
part of a transaction in which the right of possession and use of the
User Product is transferred to the recipient in perpetuity or for a
fixed term (regardless of how the transaction is characterized), the
Corresponding Source conveyed under this section must be accompanied
by the Installation Information. But this requirement does not apply
if neither you nor any third party retains the ability to install
modified object code on the User Product (for example, the work has
been installed in ROM).
The requirement to provide Installation Information does not include a
requirement to continue to provide support service, warranty, or updates
for a work that has been modified or installed by the recipient, or for
the User Product in which it has been modified or installed. Access to a
network may be denied when the modification itself materially and
adversely affects the operation of the network or violates the rules and
protocols for communication across the network.
Corresponding Source conveyed, and Installation Information provided,
in accord with this section must be in a format that is publicly
documented (and with an implementation available to the public in
source code form), and must require no special password or key for
unpacking, reading or copying.
7. Additional Terms.
"Additional permissions" are terms that supplement the terms of this
License by making exceptions from one or more of its conditions.
Additional permissions that are applicable to the entire Program shall
be treated as though they were included in this License, to the extent
that they are valid under applicable law. If additional permissions
apply only to part of the Program, that part may be used separately
under those permissions, but the entire Program remains governed by
this License without regard to the additional permissions.
When you convey a copy of a covered work, you may at your option
remove any additional permissions from that copy, or from any part of
it. (Additional permissions may be written to require their own
removal in certain cases when you modify the work.) You may place
additional permissions on material, added by you to a covered work,
for which you have or can give appropriate copyright permission.
Notwithstanding any other provision of this License, for material you
add to a covered work, you may (if authorized by the copyright holders of
that material) supplement the terms of this License with terms:
a) Disclaiming warranty or limiting liability differently from the
terms of sections 15 and 16 of this License; or
b) Requiring preservation of specified reasonable legal notices or
author attributions in that material or in the Appropriate Legal
Notices displayed by works containing it; or
c) Prohibiting misrepresentation of the origin of that material, or
requiring that modified versions of such material be marked in
reasonable ways as different from the original version; or
d) Limiting the use for publicity purposes of names of licensors or
authors of the material; or
e) Declining to grant rights under trademark law for use of some
trade names, trademarks, or service marks; or
f) Requiring indemnification of licensors and authors of that
material by anyone who conveys the material (or modified versions of
it) with contractual assumptions of liability to the recipient, for
any liability that these contractual assumptions directly impose on
those licensors and authors.
All other non-permissive additional terms are considered "further
restrictions" within the meaning of section 10. If the Program as you
received it, or any part of it, contains a notice stating that it is
governed by this License along with a term that is a further
restriction, you may remove that term. If a license document contains
a further restriction but permits relicensing or conveying under this
License, you may add to a covered work material governed by the terms
of that license document, provided that the further restriction does
not survive such relicensing or conveying.
If you add terms to a covered work in accord with this section, you
must place, in the relevant source files, a statement of the
additional terms that apply to those files, or a notice indicating
where to find the applicable terms.
Additional terms, permissive or non-permissive, may be stated in the
form of a separately written license, or stated as exceptions;
the above requirements apply either way.
8. Termination.
You may not propagate or modify a covered work except as expressly
provided under this License. Any attempt otherwise to propagate or
modify it is void, and will automatically terminate your rights under
this License (including any patent licenses granted under the third
paragraph of section 11).
However, if you cease all violation of this License, then your
license from a particular copyright holder is reinstated (a)
provisionally, unless and until the copyright holder explicitly and
finally terminates your license, and (b) permanently, if the copyright
holder fails to notify you of the violation by some reasonable means
prior to 60 days after the cessation.
Moreover, your license from a particular copyright holder is
reinstated permanently if the copyright holder notifies you of the
violation by some reasonable means, this is the first time you have
received notice of violation of this License (for any work) from that
copyright holder, and you cure the violation prior to 30 days after
your receipt of the notice.
Termination of your rights under this section does not terminate the
licenses of parties who have received copies or rights from you under
this License. If your rights have been terminated and not permanently
reinstated, you do not qualify to receive new licenses for the same
material under section 10.
9. Acceptance Not Required for Having Copies.
You are not required to accept this License in order to receive or
run a copy of the Program. Ancillary propagation of a covered work
occurring solely as a consequence of using peer-to-peer transmission
to receive a copy likewise does not require acceptance. However,
nothing other than this License grants you permission to propagate or
modify any covered work. These actions infringe copyright if you do
not accept this License. Therefore, by modifying or propagating a
covered work, you indicate your acceptance of this License to do so.
10. Automatic Licensing of Downstream Recipients.
Each time you convey a covered work, the recipient automatically
receives a license from the original licensors, to run, modify and
propagate that work, subject to this License. You are not responsible
for enforcing compliance by third parties with this License.
An "entity transaction" is a transaction transferring control of an
organization, or substantially all assets of one, or subdividing an
organization, or merging organizations. If propagation of a covered
work results from an entity transaction, each party to that
transaction who receives a copy of the work also receives whatever
licenses to the work the party's predecessor in interest had or could
give under the previous paragraph, plus a right to possession of the
Corresponding Source of the work from the predecessor in interest, if
the predecessor has it or can get it with reasonable efforts.
You may not impose any further restrictions on the exercise of the
rights granted or affirmed under this License. For example, you may
not impose a license fee, royalty, or other charge for exercise of
rights granted under this License, and you may not initiate litigation
(including a cross-claim or counterclaim in a lawsuit) alleging that
any patent claim is infringed by making, using, selling, offering for
sale, or importing the Program or any portion of it.
11. Patents.
A "contributor" is a copyright holder who authorizes use under this
License of the Program or a work on which the Program is based. The
work thus licensed is called the contributor's "contributor version".
A contributor's "essential patent claims" are all patent claims
owned or controlled by the contributor, whether already acquired or
hereafter acquired, that would be infringed by some manner, permitted
by this License, of making, using, or selling its contributor version,
but do not include claims that would be infringed only as a
consequence of further modification of the contributor version. For
purposes of this definition, "control" includes the right to grant
patent sublicenses in a manner consistent with the requirements of
this License.
Each contributor grants you a non-exclusive, worldwide, royalty-free
patent license under the contributor's essential patent claims, to
make, use, sell, offer for sale, import and otherwise run, modify and
propagate the contents of its contributor version.
In the following three paragraphs, a "patent license" is any express
agreement or commitment, however denominated, not to enforce a patent
(such as an express permission to practice a patent or covenant not to
sue for patent infringement). To "grant" such a patent license to a
party means to make such an agreement or commitment not to enforce a
patent against the party.
If you convey a covered work, knowingly relying on a patent license,
and the Corresponding Source of the work is not available for anyone
to copy, free of charge and under the terms of this License, through a
publicly available network server or other readily accessible means,
then you must either (1) cause the Corresponding Source to be so
available, or (2) arrange to deprive yourself of the benefit of the
patent license for this particular work, or (3) arrange, in a manner
consistent with the requirements of this License, to extend the patent
license to downstream recipients. "Knowingly relying" means you have
actual knowledge that, but for the patent license, your conveying the
covered work in a country, or your recipient's use of the covered work
in a country, would infringe one or more identifiable patents in that
country that you have reason to believe are valid.
If, pursuant to or in connection with a single transaction or
arrangement, you convey, or propagate by procuring conveyance of, a
covered work, and grant a patent license to some of the parties
receiving the covered work authorizing them to use, propagate, modify
or convey a specific copy of the covered work, then the patent license
you grant is automatically extended to all recipients of the covered
work and works based on it.
A patent license is "discriminatory" if it does not include within
the scope of its coverage, prohibits the exercise of, or is
conditioned on the non-exercise of one or more of the rights that are
specifically granted under this License. You may not convey a covered
work if you are a party to an arrangement with a third party that is
in the business of distributing software, under which you make payment
to the third party based on the extent of your activity of conveying
the work, and under which the third party grants, to any of the
parties who would receive the covered work from you, a discriminatory
patent license (a) in connection with copies of the covered work
conveyed by you (or copies made from those copies), or (b) primarily
for and in connection with specific products or compilations that
contain the covered work, unless you entered into that arrangement,
or that patent license was granted, prior to 28 March 2007.
Nothing in this License shall be construed as excluding or limiting
any implied license or other defenses to infringement that may
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<one line to give the program's name and a brief idea of what it does.>
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Also add information on how to contact you by electronic and paper mail.
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For more information on this, and how to apply and follow the GNU AGPL, see
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* The specific terms and conditions of the Commercial License are governed by the formal commercial license agreement signed by both parties.
* The project maintainers reserve the right to update this licensing policy (including the definition and threshold for user count) as needed. Updates will be communicated through official project channels (e.g., code repository, official website).

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@@ -1,74 +1,26 @@
<div align="right" >
<details>
<summary >🌐 Language</summary>
<div>
<div align="right">
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=en">English</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=zh-CN">简体中文</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=zh-TW">繁體中文</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=ja">日本語</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=ko">한국어</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=hi">हिन्दी</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=th">ไทย</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=fr">Français</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=de">Deutsch</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=es">Español</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=it">Italiano</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=ru">Русский</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=pt">Português</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=nl">Nederlands</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=pl">Polski</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=ar">العربية</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=fa">فارسی</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=tr">Türkçe</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=vi">Tiếng Việt</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=id">Bahasa Indonesia</a></p>
</div>
</div>
</details>
</div>
<h1 align="center">
<a href="https://github.com/CherryHQ/cherry-studio/releases">
<img src="https://github.com/CherryHQ/cherry-studio/blob/main/build/icon.png?raw=true" width="150" height="150" alt="banner" /><br>
</a>
</h1>
<p align="center">English | <a href="./docs/README.zh.md">中文</a> | <a href="https://cherry-ai.com">Official Site</a> | <a href="https://docs.cherry-ai.com/cherry-studio-wen-dang/en-us">Documents</a> | <a href="./docs/dev.md">Development</a> | <a href="https://github.com/CherryHQ/cherry-studio/issues">Feedback</a><br></p>
<p align="center">English | <a href="./docs/README.zh.md">中文</a> | <a href="./docs/README.ja.md">日本語</a><br></p>
<div align="center">
[![][deepwiki-shield]][deepwiki-link]
[![][twitter-shield]][twitter-link]
[![][discord-shield]][discord-link]
[![][telegram-shield]][telegram-link]
</div>
<div align="center">
[![][github-release-shield]][github-release-link]
[![][github-nightly-shield]][github-nightly-link]
[![][github-contributors-shield]][github-contributors-link]
[![][license-shield]][license-link]
[![][commercial-shield]][commercial-link]
[![][sponsor-shield]][sponsor-link]
</div>
<div align="center">
<a href="https://hellogithub.com/repository/1605492e1e2a4df3be07abfa4578dd37" target="_blank" style="text-decoration: none"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=1605492e1e2a4df3be07abfa4578dd37" alt="FeaturedHelloGitHub" width="220" height="55" /></a>
<a href="https://trendshift.io/repositories/14318" target="_blank" style="text-decoration: none"><img src="https://trendshift.io/api/badge/repositories/14318" alt="CherryHQ%2Fcherry-studio | Trendshift" width="220" height="55" /></a>
<a href="https://www.producthunt.com/posts/cherry-studio?embed=true&utm_source=badge-featured&utm_medium=badge&utm_souce=badge-cherry&#0045;studio" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=496640&theme=light" alt="Cherry&#0032;Studio - AI&#0032;Chatbots&#0044;&#0032;AI&#0032;Desktop&#0032;Client | Product Hunt" width="220" height="55" /></a>
<a href="https://trendshift.io/repositories/11772" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11772" alt="kangfenmao%2Fcherry-studio | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://www.producthunt.com/posts/cherry-studio?embed=true&utm_source=badge-featured&utm_medium=badge&utm_souce=badge-cherry&#0045;studio" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=496640&theme=light" alt="Cherry&#0032;Studio - AI&#0032;Chatbots&#0044;&#0032;AI&#0032;Desktop&#0032;Client | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
</div>
# 🍒 Cherry Studio
Cherry Studio is a desktop client that supports multiple LLM providers, available on Windows, Mac and Linux.
Cherry Studio is a desktop client that supports for multiple LLM providers, available on Windows, Mac and Linux.
👏 Join [Telegram Group](https://t.me/CherryStudioAI)[Discord](https://discord.gg/wez8HtpxqQ) | [QQ Group(575014769)](https://qm.qq.com/q/lo0D4qVZKi)
❤️ Like Cherry Studio? Give it a star 🌟 or [Sponsor](docs/sponsor.md) to support the development!
# 📖 Guide
<https://docs.cherry-ai.com>
# 🌠 Screenshot
![](https://github.com/user-attachments/assets/36dddb2c-e0fb-4a5f-9411-91447bab6e18)
@@ -82,7 +34,7 @@ Cherry Studio is a desktop client that supports multiple LLM providers, availabl
1. **Diverse LLM Provider Support**:
- ☁️ Major LLM Cloud Services: OpenAI, Gemini, Anthropic, and more
- 🔗 AI Web Service Integration: Claude, Perplexity, Poe, and others
- 🔗 AI Web Service Integration: Claude, Peplexity, Poe, and others
- 💻 Local Model Support with Ollama, LM Studio
2. **AI Assistants & Conversations**:
@@ -93,7 +45,7 @@ Cherry Studio is a desktop client that supports multiple LLM providers, availabl
3. **Document & Data Processing**:
- 📄 Supports Text, Images, Office, PDF, and more
- 📄 Support for Text, Images, Office, PDF, and more
- ☁️ WebDAV File Management and Backup
- 📊 Mermaid Chart Visualization
- 💻 Code Syntax Highlighting
@@ -110,48 +62,25 @@ Cherry Studio is a desktop client that supports multiple LLM providers, availabl
5. **Enhanced User Experience**:
- 🖥️ Cross-platform Support for Windows, Mac, and Linux
- 📦 Ready to Use - No Environment Setup Required
- 📦 Ready to Use, No Environment Setup Required
- 🎨 Light/Dark Themes and Transparent Window
- 📝 Complete Markdown Rendering
- 🤲 Easy Content Sharing
# 📝 Roadmap
# 📝 TODO
We're actively working on the following features and improvements:
1. 🎯 **Core Features**
- Selection Assistant with smart content selection enhancement
- Deep Research with advanced research capabilities
- Memory System with global context awareness
- Document Preprocessing with improved document handling
- MCP Marketplace for Model Context Protocol ecosystem
2. 🗂 **Knowledge Management**
- Notes and Collections
- Dynamic Canvas visualization
- OCR capabilities
- TTS (Text-to-Speech) support
3. 📱 **Platform Support**
- HarmonyOS Edition (PC)
- Android App (Phase 1)
- iOS App (Phase 1)
- Multi-Window support
- Window Pinning functionality
- Intel AI PC (Core Ultra) Support
4. 🔌 **Advanced Features**
- Plugin System
- ASR (Automatic Speech Recognition)
- Assistant and Topic Interaction Refactoring
Track our progress and contribute on our [project board](https://github.com/orgs/CherryHQ/projects/7).
Want to influence our roadmap? Join our [GitHub Discussions](https://github.com/CherryHQ/cherry-studio/discussions) to share your ideas and feedback!
- [x] Quick popup (read clipboard, quick question, explain, translate, summarize)
- [x] Comparison of multi-model answers
- [x] Support login using SSO provided by service providers
- [x] All models support networking
- [x] Launch of the first official version
- [x] Bug fixes and improvements (In progress...)
- [ ] Plugin functionality (JavaScript)
- [ ] Browser extension (highlight text to translate, summarize, add to knowledge base)
- [ ] iOS & Android client
- [ ] AI notes
- [ ] Voice input and output (AI call)
- [ ] Data backup supports custom backup content
# 🌈 Theme
@@ -163,6 +92,14 @@ Want to influence our roadmap? Join our [GitHub Discussions](https://github.com/
Welcome PR for more themes
# 🖥️ Develop
Refer to the [development documentation](docs/dev.md)
Refer to the [Architecture overview documentation](https://deepwiki.com/CherryHQ/cherry-studio)
Refer to the [Branching Strategy](docs/branching-strategy-en.md) for contribution guidelines
# 🤝 Contributing
We welcome contributions to Cherry Studio! Here are some ways you can contribute:
@@ -175,8 +112,6 @@ We welcome contributions to Cherry Studio! Here are some ways you can contribute
6. **Community Engagement**: Join discussions and help users.
7. **Promote Usage**: Spread the word about Cherry Studio.
Refer to the [Branching Strategy](docs/branching-strategy-en.md) for contribution guidelines
## Getting Started
1. **Fork the Repository**: Fork and clone it to your local machine.
@@ -184,87 +119,15 @@ Refer to the [Branching Strategy](docs/branching-strategy-en.md) for contributio
3. **Submit Changes**: Commit and push your changes.
4. **Open a Pull Request**: Describe your changes and reasons.
For more detailed guidelines, please refer to our [Contributing Guide](CONTRIBUTING.md).
For more detailed guidelines, please refer to our [Contributing Guide](./CONTRIBUTING.md).
Thank you for your support and contributions!
# 🔧 Developer Co-creation Program
We are launching the Cherry Studio Developer Co-creation Program to foster a healthy and positive-feedback loop within the open-source ecosystem. We believe that great software is built collaboratively, and every merged pull request breathes new life into the project.
We sincerely invite you to join our ranks of contributors and shape the future of Cherry Studio with us.
## Contributor Rewards Program
To give back to our core contributors and create a virtuous cycle, we have established the following long-term incentive plan.
**The inaugural tracking period for this program will be Q3 2025 (July, August, September). Rewards for this cycle will be distributed on October 1st.**
Within any tracking period (e.g., July 1st to September 30th for the first cycle), any developer who contributes more than **30 meaningful commits** to any of Cherry Studio's open-source projects on GitHub will be eligible for the following benefits:
- **Cursor Subscription Sponsorship**: Receive a **$70 USD** credit or reimbursement for your [Cursor](https://cursor.sh/) subscription, making AI your most efficient coding partner.
- **Unlimited Model Access**: Get **unlimited** API calls for the **DeepSeek** and **Qwen** models.
- **Cutting-Edge Tech Access**: Enjoy occasional perks, including API access to models like **Claude**, **Gemini**, and **OpenAI**, keeping you at the forefront of technology.
## Growing Together & Future Plans
A vibrant community is the driving force behind any sustainable open-source project. As Cherry Studio grows, so will our rewards program. We are committed to continuously aligning our benefits with the best-in-class tools and resources in the industry. This ensures our core contributors receive meaningful support, creating a positive cycle where developers, the community, and the project grow together.
**Moving forward, the project will also embrace an increasingly open stance to give back to the entire open-source community.**
## How to Get Started?
We look forward to your first Pull Request!
You can start by exploring our repositories, picking up a `good first issue`, or proposing your own enhancements. Every commit is a testament to the spirit of open source.
Thank you for your interest and contributions.
Let's build together.
# 🏢 Enterprise Edition
Building on the Community Edition, we are proud to introduce **Cherry Studio Enterprise Edition**—a privately-deployable AI productivity and management platform designed for modern teams and enterprises.
The Enterprise Edition addresses core challenges in team collaboration by centralizing the management of AI resources, knowledge, and data. It empowers organizations to enhance efficiency, foster innovation, and ensure compliance, all while maintaining 100% control over their data in a secure environment.
## Core Advantages
- **Unified Model Management**: Centrally integrate and manage various cloud-based LLMs (e.g., OpenAI, Anthropic, Google Gemini) and locally deployed private models. Employees can use them out-of-the-box without individual configuration.
- **Enterprise-Grade Knowledge Base**: Build, manage, and share team-wide knowledge bases. Ensures knowledge retention and consistency, enabling team members to interact with AI based on unified and accurate information.
- **Fine-Grained Access Control**: Easily manage employee accounts and assign role-based permissions for different models, knowledge bases, and features through a unified admin backend.
- **Fully Private Deployment**: Deploy the entire backend service on your on-premises servers or private cloud, ensuring your data remains 100% private and under your control to meet the strictest security and compliance standards.
- **Reliable Backend Services**: Provides stable API services and enterprise-grade data backup and recovery mechanisms to ensure business continuity.
## ✨ Online Demo
> 🚧 **Public Beta Notice**
>
> The Enterprise Edition is currently in its early public beta stage, and we are actively iterating and optimizing its features. We are aware that it may not be perfectly stable yet. If you encounter any issues or have valuable suggestions during your trial, we would be very grateful if you could contact us via email to provide feedback.
**🔗 [Cherry Studio Enterprise](https://www.cherry-ai.com/enterprise)**
## Version Comparison
| Feature | Community Edition | Enterprise Edition |
| :---------------- | :----------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------- |
| **Open Source** | ✅ Yes | ⭕️ Partially released to customers |
| **Cost** | Free for Personal Use / Commercial License | Buyout / Subscription Fee |
| **Admin Backend** | — | ● Centralized **Model** Access<br>**Employee** Management<br>● Shared **Knowledge Base**<br>**Access** Control<br>**Data** Backup |
| **Server** | — | ✅ Dedicated Private Deployment |
## Get the Enterprise Edition
We believe the Enterprise Edition will become your team's AI productivity engine. If you are interested in Cherry Studio Enterprise Edition and would like to learn more, request a quote, or schedule a demo, please feel free to contact us.
- **For Business Inquiries & Purchasing**:
**📧 [bd@cherry-ai.com](mailto:bd@cherry-ai.com)**
# 🔗 Related Projects
- [one-api](https://github.com/songquanpeng/one-api): LLM API management and distribution system supporting mainstream models like OpenAI, Azure, and Anthropic. Features a unified API interface, suitable for key management and secondary distribution.
- [one-api](https://github.com/songquanpeng/one-api):LLM API management and distribution system, supporting mainstream models like OpenAI, Azure, and Anthropic. Features unified API interface, suitable for key management and secondary distribution.
- [ublacklist](https://github.com/iorate/ublacklist): Blocks specific sites from appearing in Google search results
- [ublacklist](https://github.com/iorate/ublacklist):Blocks specific sites from appearing in Google search results
# 🚀 Contributors
@@ -273,53 +136,22 @@ We believe the Enterprise Edition will become your team's AI productivity engine
</a>
<br /><br />
# 📊 GitHub Stats
# 🌐 Community
![Stats](https://repobeats.axiom.co/api/embed/a693f2e5f773eed620f70031e974552156c7f397.svg 'Repobeats analytics image')
[Telegram](https://t.me/CherryStudioAI) | [Email](mailto:support@cherry-ai.com) | [Twitter](https://x.com/kangfenmao)
# ☕ Sponsor
[Buy Me a Coffee](docs/sponsor.md)
# 📃 License
[LICENSE](./LICENSE)
# ✉️ Contact
<yinsenho@cherry-ai.com>
# ⭐️ Star History
<a href="https://www.star-history.com/#CherryHQ/cherry-studio&Date">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=CherryHQ/cherry-studio&type=Date&theme=dark" />
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=CherryHQ/cherry-studio&type=Date" />
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=CherryHQ/cherry-studio&type=Date" />
</picture>
</a>
# 📜 License
The Cherry Studio Community Edition is governed by the standard GNU Affero General Public License v3.0 (AGPL-3.0), available at https://www.gnu.org/licenses/agpl-3.0.html.
Use of the Cherry Studio Community Edition for commercial purposes is permitted, subject to full compliance with the terms and conditions of the AGPL-3.0 license.
Should you require a commercial license that provides an exemption from the AGPL-3.0 requirements, please contact us at bd@cherry-ai.com.
<!-- Links & Images -->
[deepwiki-shield]: https://img.shields.io/badge/Deepwiki-CherryHQ-0088CC?logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNy45MyAzMiI+PHBhdGggZD0iTTE5LjMzIDE0LjEyYy42Ny0uMzkgMS41LS4zOSAyLjE4IDBsMS43NCAxYy4wNi4wMy4xMS4wNi4xOC4wN2guMDRjLjA2LjAzLjEyLjAzLjE4LjAzaC4wMmMuMDYgMCAuMTEgMCAuMTctLjAyaC4wM2MuMDYtLjAyLjEyLS4wNS4xNy0uMDhoLjAybDMuNDgtMi4wMWMuMjUtLjE0LjQtLjQxLjQtLjdWOC40YS44MS44MSAwIDAgMC0uNC0uN2wtMy40OC0yLjAxYS44My44MyAwIDAgMC0uODEgMEwxOS43NyA3LjdoLS4wMWwtLjE1LjEyLS4wMi4wMnMtLjA3LjA5LS4xLjE0VjhhLjQuNCAwIDAgMC0uMDguMTd2LjA0Yy0uMDMuMDYtLjAzLjEyLS4wMy4xOXYyLjAxYzAgLjc4LS40MSAxLjQ5LTEuMDkgMS44OC0uNjcuMzktMS41LjM5LTIuMTggMGwtMS43NC0xYS42LjYgMCAwIDAtLjIxLS4wOGMtLjA2LS4wMS0uMTItLjAyLS4xOC0uMDJoLS4wM2MtLjA2IDAtLjExLjAxLS4xNy4wMmgtLjAzYy0uMDYuMDItLjEyLjA0LS4xNy4wN2gtLjAybC0zLjQ3IDIuMDFjLS4yNS4xNC0uNC40MS0uNC43VjE4YzAgLjI5LjE1LjU1LjQuN2wzLjQ4IDIuMDFoLjAyYy4wNi4wNC4xMS4wNi4xNy4wOGguMDNjLjA1LjAyLjExLjAzLjE3LjAzaC4wMmMuMDYgMCAuMTIgMCAuMTgtLjAyaC4wNGMuMDYtLjAzLjEyLS4wNS4xOC0uMDhsMS43NC0xYy42Ny0uMzkgMS41LS4zOSAyLjE3IDBzMS4wOSAxLjExIDEuMDkgMS44OHYyLjAxYzAgLjA3IDAgLjEzLjAyLjE5di4wNGMuMDMuMDYuMDUuMTIuMDguMTd2LjAycy4wOC4wOS4xMi4xM2wuMDIuMDJzLjA5LjA4LjE1LjExYzAgMCAuMDEgMCAuMDEuMDFsMy40OCAyLjAxYy4yNS4xNC41Ni4xNC44MSAwbDMuNDgtMi4wMWMuMjUtLjE0LjQtLjQxLjQtLjd2LTQuMDFhLjgxLjgxIDAgMCAwLS40LS43bC0zLjQ4LTIuMDFoLS4wMmMtLjA1LS4wNC0uMTEtLjA2LS4xNy0uMDhoLS4wM2EuNS41IDAgMCAwLS4xNy0uMDNoLS4wM2MtLjA2IDAtLjEyIDAtLjE4LjAyLS4wNy4wMi0uMTUuMDUtLjIxLjA4bC0xLjc0IDFjLS42Ny4zOS0xLjUuMzktMi4xNyAwYTIuMTkgMi4xOSAwIDAgMS0xLjA5LTEuODhjMC0uNzguNDItMS40OSAxLjA5LTEuODhaIiBzdHlsZT0iZmlsbDojNWRiZjlkIi8+PHBhdGggZD0ibS40IDEzLjExIDMuNDcgMi4wMWMuMjUuMTQuNTYuMTQuOCAwbDMuNDctMi4wMWguMDFsLjE1LS4xMi4wMi0uMDJzLjA3LS4wOS4xLS4xNGwuMDItLjAyYy4wMy0uMDUuMDUtLjExLjA3LS4xN3YtLjA0Yy4wMy0uMDYuMDMtLjEyLjAzLS4xOVYxMC40YzAtLjc4LjQyLTEuNDkgMS4wOS0xLjg4czEuNS0uMzkgMi4xOCAwbDEuNzQgMWMuMDcuMDQuMTQuMDcuMjEuMDguMDYuMDEuMTIuMDIuMTguMDJoLjAzYy4wNiAwIC4xMS0uMDEuMTctLjAyaC4wM2MuMDYtLjAyLjEyLS4wNC4xNy0uMDdoLjAybDMuNDctMi4wMmMuMjUtLjE0LjQtLjQxLjQtLjd2LTRhLjgxLjgxIDAgMCAwLS40LS43bC0zLjQ2LTJhLjgzLjgzIDAgMCAwLS44MSAwbC0zLjQ4IDIuMDFoLS4wMWwtLjE1LjEyLS4wMi4wMi0uMS4xMy0uMDIuMDJjLS4wMy4wNS0uMDUuMTEtLjA3LjE3di4wNGMtLjAzLjA2LS4wMy4xMi0uMDMuMTl2Mi4wMWMwIC43OC0uNDIgMS40OS0xLjA5IDEuODhzLTEuNS4zOS0yLjE4IDBsLTEuNzQtMWEuNi42IDAgMCAwLS4yMS0uMDhjLS4wNi0uMDEtLjEyLS4wMi0uMTgtLjAyaC0uMDNjLS4wNiAwLS4xMS4wMS0uMTcuMDJoLS4wM2MtLjA2LjAyLS4xMi4wNS0uMTcuMDhoLS4wMkwuNCA3LjcxYy0uMjUuMTQtLjQuNDEtLjQuNjl2NC4wMWMwIC4yOS4xNS41Ni40LjciIHN0eWxlPSJmaWxsOiM0NDY4YzQiLz48cGF0aCBkPSJtMTcuODQgMjQuNDgtMy40OC0yLjAxaC0uMDJjLS4wNS0uMDQtLjExLS4wNi0uMTctLjA4aC0uMDNhLjUuNSAwIDAgMC0uMTctLjAzaC0uMDNjLS4wNiAwLS4xMiAwLS4xOC4wMmgtLjA0Yy0uMDYuMDMtLjEyLjA1LS4xOC4wOGwtMS43NCAxYy0uNjcuMzktMS41LjM5LTIuMTggMGEyLjE5IDIuMTkgMCAwIDEtMS4wOS0xLjg4di0yLjAxYzAtLjA2IDAtLjEzLS4wMi0uMTl2LS4wNGMtLjAzLS4wNi0uMDUtLjExLS4wOC0uMTdsLS4wMi0uMDJzLS4wNi0uMDktLjEtLjEzTDguMjkgMTlzLS4wOS0uMDgtLjE1LS4xMWgtLjAxbC0zLjQ3LTIuMDJhLjgzLjgzIDAgMCAwLS44MSAwTC4zNyAxOC44OGEuODcuODcgMCAwIDAtLjM3LjcxdjQuMDFjMCAuMjkuMTUuNTUuNC43bDMuNDcgMi4wMWguMDJjLjA1LjA0LjExLjA2LjE3LjA4aC4wM2MuMDUuMDIuMTEuMDMuMTYuMDNoLjAzYy4wNiAwIC4xMiAwIC4xOC0uMDJoLjA0Yy4wNi0uMDMuMTItLjA1LjE4LS4wOGwxLjc0LTFjLjY3LS4zOSAxLjUtLjM5IDIuMTcgMHMxLjA5IDEuMTEgMS4wOSAxLjg4djIuMDFjMCAuMDcgMCAuMTMuMDIuMTl2LjA0Yy4wMy4wNi4wNS4xMS4wOC4xN2wuMDIuMDJzLjA2LjA5LjEuMTRsLjAyLjAycy4wOS4wOC4xNS4xMWguMDFsMy40OCAyLjAyYy4yNS4xNC41Ni4xNC44MSAwbDMuNDgtMi4wMWMuMjUtLjE0LjQtLjQxLjQtLjdWMjUuMmEuODEuODEgMCAwIDAtLjQtLjdaIiBzdHlsZT0iZmlsbDojNDI5M2Q5Ii8+PC9zdmc+
[deepwiki-link]: https://deepwiki.com/CherryHQ/cherry-studio
[twitter-shield]: https://img.shields.io/badge/Twitter-CherryStudioApp-0088CC?logo=x
[twitter-link]: https://twitter.com/CherryStudioHQ
[discord-shield]: https://img.shields.io/badge/Discord-@CherryStudio-0088CC?logo=discord
[discord-link]: https://discord.gg/wez8HtpxqQ
[telegram-shield]: https://img.shields.io/badge/Telegram-@CherryStudioAI-0088CC?logo=telegram
[telegram-link]: https://t.me/CherryStudioAI
<!-- Links & Images -->
[github-release-shield]: https://img.shields.io/github/v/release/CherryHQ/cherry-studio?logo=github
[github-release-link]: https://github.com/CherryHQ/cherry-studio/releases
[github-nightly-shield]: https://img.shields.io/github/actions/workflow/status/CherryHQ/cherry-studio/nightly-build.yml?label=nightly%20build&logo=github
[github-nightly-link]: https://github.com/CherryHQ/cherry-studio/actions/workflows/nightly-build.yml
[github-contributors-shield]: https://img.shields.io/github/contributors/CherryHQ/cherry-studio?logo=github
[github-contributors-link]: https://github.com/CherryHQ/cherry-studio/graphs/contributors
<!-- Links & Images -->
[license-shield]: https://img.shields.io/badge/License-AGPLv3-important.svg?logo=gnu
[license-link]: https://www.gnu.org/licenses/agpl-3.0
[commercial-shield]: https://img.shields.io/badge/License-Contact-white.svg?logoColor=white&logo=telegram&color=blue
[commercial-link]: mailto:license@cherry-ai.com?subject=Commercial%20License%20Inquiry
[sponsor-shield]: https://img.shields.io/badge/Sponsor-FF6699.svg?logo=githubsponsors&logoColor=white
[sponsor-link]: https://github.com/CherryHQ/cherry-studio/blob/main/docs/sponsor.md
[![Star History Chart](https://api.star-history.com/svg?repos=kangfenmao/cherry-studio&type=Timeline)](https://star-history.com/#kangfenmao/cherry-studio&Timeline)

View File

@@ -1,64 +0,0 @@
# Security Policy
## 📢 Reporting a Vulnerability
At Cherry Studio, we take security seriously and appreciate your efforts to responsibly disclose vulnerabilities. If you discover a security issue, please report it as soon as possible.
**Please do not create public issues for security-related reports.**
- To report a security issue, please use the GitHub Security Advisories tab to "[Open a draft security advisory](https://github.com/CherryHQ/cherry-studio/security/advisories/new)".
- Include a detailed description of the issue, steps to reproduce, potential impact, and any possible mitigations.
- If applicable, please also attach proof-of-concept code or screenshots.
We will acknowledge your report within **72 hours** and provide a status update as we investigate.
---
## 🔒 Supported Versions
We aim to support the latest released version and one previous minor release.
| Version | Supported |
| --------------- | ---------------- |
| Latest (`main`) | ✅ Supported |
| Previous minor | ✅ Supported |
| Older versions | ❌ Not supported |
If you are using an unsupported version, we strongly recommend updating to the latest release to receive security fixes.
---
## 💡 Security Measures
Cherry Studio integrates several security best practices, including:
- Strict dependency updates and regular vulnerability scanning.
- TypeScript strict mode and linting to reduce potential injection or runtime issues.
- Enforced code formatting and pre-commit hooks.
- Internal security reviews before releases.
- Dedicated MCP (Model Context Protocol) safeguards for model interactions and data privacy.
---
## 🛡️ Disclosure Policy
- We follow a **coordinated disclosure** approach.
- We will not publicly disclose vulnerabilities until a fix has been developed and released.
- Credit will be given to researchers who responsibly disclose vulnerabilities, if requested.
---
## 🤝 Acknowledgements
We greatly appreciate contributions from the security community and strive to recognize all researchers who help keep Cherry Studio safe.
---
## 🌟 Questions?
For any security-related questions not involving vulnerabilities, please reach out to:
**security@cherry-ai.com**
---
Thank you for helping keep Cherry Studio and its users secure!

View File

@@ -1,97 +0,0 @@
{
"$schema": "https://biomejs.dev/schemas/2.2.4/schema.json",
"assist": {
// to sort json
"actions": {
"source": {
"organizeImports": "on",
"useSortedKeys": {
"level": "on",
"options": {
"sortOrder": "lexicographic"
}
}
}
},
"enabled": true,
"includes": ["**/*.json", "!*.json", "!**/package.json"]
},
"css": {
"formatter": {
"quoteStyle": "single"
}
},
"files": { "ignoreUnknown": false },
"formatter": {
"attributePosition": "auto",
"bracketSameLine": false,
"bracketSpacing": true,
"enabled": true,
"expand": "auto",
"formatWithErrors": true,
"includes": [
"**",
"!out/**",
"!**/dist/**",
"!build/**",
"!.yarn/**",
"!.github/**",
"!.husky/**",
"!.vscode/**",
"!*.yaml",
"!*.yml",
"!*.mjs",
"!*.cjs",
"!*.md",
"!*.json",
"!src/main/integration/**",
"!**/tailwind.css",
"!**/package.json"
],
"indentStyle": "space",
"indentWidth": 2,
"lineEnding": "lf",
"lineWidth": 120,
"useEditorconfig": true
},
"html": { "formatter": { "selfCloseVoidElements": "always" } },
"javascript": {
"formatter": {
"arrowParentheses": "always",
"attributePosition": "auto",
// To minimize changes in this PR as much as possible, it's set to true. However, setting it to false would make it more convenient to add attributes at the end.
"bracketSameLine": true,
"bracketSpacing": true,
"jsxQuoteStyle": "double",
"quoteProperties": "asNeeded",
"quoteStyle": "single",
"semicolons": "asNeeded",
"trailingCommas": "none"
}
},
"json": {
"parser": {
"allowComments": true
}
},
"linter": {
"enabled": true,
"includes": ["!**/tailwind.css", "src/renderer/**/*.{tsx,ts}"],
// only enable sorted tailwind css rule. used as formatter instead of linter
"rules": {
"nursery": {
// to sort tailwind css classes
"useSortedClasses": {
"fix": "safe",
"level": "warn",
"options": {
"functions": ["cn"]
}
}
},
"recommended": false,
"suspicious": "off"
}
},
"vcs": { "clientKind": "git", "enabled": false, "useIgnoreFile": false }
}

View File

@@ -8,7 +8,5 @@
<true/>
<key>com.apple.security.cs.allow-dyld-environment-variables</key>
<true/>
<key>com.apple.security.cs.disable-library-validation</key>
<true/>
</dict>
</plist>

View File

@@ -8,93 +8,16 @@
; https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist
!include LogicLib.nsh
!include x64.nsh
; https://github.com/electron-userland/electron-builder/issues/1122
!ifndef BUILD_UNINSTALLER
Function checkVCRedist
ReadRegDWORD $0 HKLM "SOFTWARE\Microsoft\VisualStudio\14.0\VC\Runtimes\x64" "Installed"
FunctionEnd
Function checkArchitectureCompatibility
; Initialize variables
StrCpy $0 "0" ; Default to incompatible
StrCpy $1 "" ; System architecture
StrCpy $3 "" ; App architecture
; Check system architecture using built-in NSIS functions
${If} ${RunningX64}
; Check if it's ARM64 by looking at processor architecture
ReadEnvStr $2 "PROCESSOR_ARCHITECTURE"
ReadEnvStr $4 "PROCESSOR_ARCHITEW6432"
${If} $2 == "ARM64"
${OrIf} $4 == "ARM64"
StrCpy $1 "arm64"
${Else}
StrCpy $1 "x64"
${EndIf}
${Else}
StrCpy $1 "x86"
${EndIf}
; Determine app architecture based on build variables
!ifdef APP_ARM64_NAME
!ifndef APP_64_NAME
StrCpy $3 "arm64" ; App is ARM64 only
!endif
!endif
!ifdef APP_64_NAME
!ifndef APP_ARM64_NAME
StrCpy $3 "x64" ; App is x64 only
!endif
!endif
!ifdef APP_64_NAME
!ifdef APP_ARM64_NAME
StrCpy $3 "universal" ; Both architectures available
!endif
!endif
; If no architecture variables are defined, assume x64
${If} $3 == ""
StrCpy $3 "x64"
${EndIf}
; Compare system and app architectures
${If} $3 == "universal"
; Universal build, compatible with all architectures
StrCpy $0 "1"
${ElseIf} $1 == $3
; Architectures match
StrCpy $0 "1"
${Else}
; Architectures don't match
StrCpy $0 "0"
${EndIf}
FunctionEnd
!endif
!macro customInit
Push $0
Push $1
Push $2
Push $3
Push $4
; Check architecture compatibility first
Call checkArchitectureCompatibility
${If} $0 != "1"
MessageBox MB_ICONEXCLAMATION "\
Architecture Mismatch$\r$\n$\r$\n\
This installer is not compatible with your system architecture.$\r$\n\
Your system: $1$\r$\n\
App architecture: $3$\r$\n$\r$\n\
Please download the correct version from:$\r$\n\
https://www.cherry-ai.com/"
ExecShell "open" "https://www.cherry-ai.com/"
Abort
${EndIf}
Call checkVCRedist
${If} $0 != "1"
MessageBox MB_YESNO "\
@@ -120,9 +43,5 @@
Abort
${EndIf}
ContinueInstall:
Pop $4
Pop $3
Pop $2
Pop $1
Pop $0
!macroend
!macroend

View File

@@ -1,21 +0,0 @@
{
"$schema": "https://ui.shadcn.com/schema.json",
"aliases": {
"components": "@renderer/ui/third-party",
"hooks": "@renderer/hooks",
"lib": "@renderer/lib",
"ui": "@renderer/ui",
"utils": "@renderer/utils"
},
"iconLibrary": "lucide",
"rsc": false,
"style": "new-york",
"tailwind": {
"baseColor": "zinc",
"config": "",
"css": "src/renderer/src/assets/styles/tailwind.css",
"cssVariables": true,
"prefix": ""
},
"tsx": true
}

View File

@@ -1,6 +1,6 @@
# Cherry Studio 贡献者指南
[**English**](../CONTRIBUTING.md) | [**中文**](CONTRIBUTING.zh.md)
[**English**](../CONTRIBUTING.md) | [**中文**](./CONTRIBUTING.zh.md)
欢迎来到 Cherry Studio 的贡献者社区!我们致力于将 Cherry Studio 打造成一个长期提供价值的项目,并希望邀请更多的开发者加入我们的行列。无论您是经验丰富的开发者还是刚刚起步的初学者,您的贡献都将帮助我们更好地服务用户,提升软件质量。
@@ -24,7 +24,7 @@
## 开始之前
请确保阅读了[行为准则](../CODE_OF_CONDUCT.md)和[LICENSE](../LICENSE)。
请确保阅读了[行为准则](CODE_OF_CONDUCT.md)和[LICENSE](LICENSE)。
## 开始贡献
@@ -32,7 +32,7 @@
### 测试
未经测试的功能等同于不存在。为确保代码真正有效,应通过单元测试和功能测试覆盖相关流程。因此,在考虑贡献时,也请考虑可测试性。所有测试均可本地运行,无需依赖 CI。请参阅[开发者指南](dev.md#test)中的“Test”部分。
未经测试的功能等同于不存在。为确保代码真正有效,应通过单元测试和功能测试覆盖相关流程。因此,在考虑贡献时,也请考虑可测试性。所有测试均可本地运行,无需依赖 CI。请参阅[开发者指南](docs/dev.md#test)中的“Test”部分。
### 拉取请求的自动化测试
@@ -60,11 +60,7 @@ git commit --signoff -m "Your commit message"
### 获取代码审查/合并
维护者在此帮助您在合理时间内实现您的用例。他们会尽力在合理时间内审查您的代码并提供建设性反馈。但如果您在审查过程中受阻,或认为您的 Pull Request 未得到应有的关注,请通过 Issue 中的评论或者[社群](README.zh.md#-community)联系我们
### 参与测试计划
测试计划旨在为用户提供更稳定的应用体验和更快的迭代速度,详细情况请参阅[测试计划](testplan-zh.md)。
维护者在此帮助您在合理时间内实现您的用例。他们会尽力在合理时间内审查您的代码并提供建设性反馈。但如果您在审查过程中受阻,或认为您的 Pull Request 未得到应有的关注,请通过 Issue 中的评论或者[社群](README.md#-community)联系我们
### 其他建议

160
docs/README.ja.md Normal file
View File

@@ -0,0 +1,160 @@
<h1 align="center">
<a href="https://github.com/CherryHQ/cherry-studio/releases">
<img src="https://github.com/CherryHQ/cherry-studio/blob/main/build/icon.png?raw=true" width="150" height="150" alt="banner" />
</a>
</h1>
<p align="center">
<a href="https://github.com/CherryHQ/cherry-studio">English</a> | <a href="./README.zh.md">中文</a> | 日本語 <br>
</p>
<div align="center">
<a href="https://trendshift.io/repositories/11772" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11772" alt="kangfenmao%2Fcherry-studio | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://www.producthunt.com/posts/cherry-studio?embed=true&utm_source=badge-featured&utm_medium=badge&utm_souce=badge-cherry&#0045;studio" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=496640&theme=light" alt="Cherry&#0032;Studio - AI&#0032;Chatbots&#0044;&#0032;AI&#0032;Desktop&#0032;Client | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
</div>
# 🍒 Cherry Studio
Cherry Studio は、複数の LLM プロバイダーをサポートするデスクトップクライアントで、Windows、Mac、Linux で利用可能です。
👏 [Telegram](https://t.me/CherryStudioAI)[Discord](https://discord.gg/wez8HtpxqQ) | [QQグループ(575014769)](https://qm.qq.com/q/lo0D4qVZKi)
❤️ Cherry Studio をお気に入りにしましたか?小さな星をつけてください 🌟 または [スポンサー](sponsor.md) をして開発をサポートしてください!
# 📖 ガイド
https://docs.cherry-ai.com
# 🌠 スクリーンショット
![](https://github.com/user-attachments/assets/36dddb2c-e0fb-4a5f-9411-91447bab6e18)
![](https://github.com/user-attachments/assets/f549e8a0-2385-40b4-b52b-2039e39f2930)
![](https://github.com/user-attachments/assets/58e0237c-4d36-40de-b428-53051d982026)
# 🌟 主な機能
1. **多様な LLM サービス対応**
- ☁️ 主要な LLM クラウドサービス対応OpenAI、Gemini、Anthropic など
- 🔗 AI Web サービス統合Claude、Peplexity、Poe など
- 💻 Ollama、LM Studio によるローカルモデル実行対応
2. **AI アシスタントと対話**
- 📚 300+ の事前設定済み AI アシスタント
- 🤖 カスタム AI アシスタントの作成
- 💬 複数モデルでの同時対話機能
3. **文書とデータ処理**
- 📄 テキスト、画像、Office、PDF など多様な形式対応
- ☁️ WebDAV によるファイル管理とバックアップ
- 📊 Mermaid による図表作成
- 💻 コードハイライト機能
4. **実用的なツール統合**
- 🔍 グローバル検索機能
- 📝 トピック管理システム
- 🔤 AI による翻訳機能
- 🎯 ドラッグ&ドロップによる整理
- 🔌 ミニプログラム対応
- ⚙️ MCPモデルコンテキストプロトコルサービス
5. **優れたユーザー体験**
- 🖥️ Windows、Mac、Linux のクロスプラットフォーム対応
- 📦 環境構築不要ですぐに使用可能
- 🎨 ライト/ダークテーマと透明ウィンドウ対応
- 📝 完全な Markdown レンダリング
- 🤲 簡単な共有機能
# 📝 TODO
- [x] クイックポップアップ(クリップボードの読み取り、簡単な質問、説明、翻訳、要約)
- [x] 複数モデルの回答の比較
- [x] サービスプロバイダーが提供する SSO を使用したログイン対応
- [x] すべてのモデルのネットワーク対応
- [x] 最初の公式バージョンのリリース
- [x] バグ修正と改善(進行中...
- [ ] プラグイン機能JavaScript
- [ ] ブラウザ拡張機能(テキストをハイライトして翻訳、要約、ナレッジベースに追加)
- [ ] iOS & Android クライアント
- [ ] AI ノート
- [ ] 音声入出力AI コール)
- [ ] データバックアップのカスタマイズ対応
# 🌈 テーマ
- テーマギャラリーhttps://cherrycss.com
- Aero テーマhttps://github.com/hakadao/CherryStudio-Aero
- PaperMaterial テーマhttps://github.com/rainoffallingstar/CherryStudio-PaperMaterial
- Claude テーマhttps://github.com/bjl101501/CherryStudio-Claudestyle-dynamic
- メープルネオンテーマhttps://github.com/BoningtonChen/CherryStudio_themes
より多くのテーマの PR を歓迎します
# 🖥️ 開発
[開発ドキュメント](dev.md)を参照してください
[アーキテクチャ概要ドキュメント](https://deepwiki.com/CherryHQ/cherry-studio)を参照してください
[ブランチ戦略](branching-strategy-en.md)を参照して貢献ガイドラインを確認してください
# 🤝 貢献
Cherry Studio への貢献を歓迎します!以下の方法で貢献できます:
1. **コードの貢献**:新機能を開発するか、既存のコードを最適化します
2. **バグの修正**:見つけたバグを修正します
3. **問題の管理**GitHub の問題を管理するのを手伝います
4. **製品デザイン**:デザインの議論に参加します
5. **ドキュメントの作成**:ユーザーマニュアルやガイドを改善します
6. **コミュニティの参加**:ディスカッションに参加し、ユーザーを支援します
7. **使用の促進**Cherry Studio を広めます
## 始め方
1. **リポジトリをフォーク**:フォークしてローカルマシンにクローンします
2. **ブランチを作成**:変更のためのブランチを作成します
3. **変更を提出**:変更をコミットしてプッシュします
4. **プルリクエストを開く**:変更内容と理由を説明します
詳細なガイドラインについては、[貢献ガイド](../CONTRIBUTING.md)をご覧ください。
ご支援と貢献に感謝します!
# 🔗 関連プロジェクト
- [one-api](https://github.com/songquanpeng/one-api)LLM API の管理・配信システム。OpenAI、Azure、Anthropic などの主要モデルに対応し、統一 API インターフェースを提供。API キー管理と再配布に利用可能。
- [ublacklist](https://github.com/iorate/ublacklist)Google 検索結果から特定のサイトを非表示にします
# 🚀 コントリビューター
<a href="https://github.com/CherryHQ/cherry-studio/graphs/contributors">
<img src="https://contrib.rocks/image?repo=CherryHQ/cherry-studio" />
</a>
<br /><br />
# 🌐 コミュニティ
[Telegram](https://t.me/CherryStudioAI) | [Email](mailto:support@cherry-ai.com) | [Twitter](https://x.com/kangfenmao)
# ☕ スポンサー
[開発者を支援する](sponsor.md)
# 📃 ライセンス
[LICENSE](../LICENSE)
# ✉️ お問い合わせ
yinsenho@cherry-ai.com
# ⭐️ スター履歴
[![Star History Chart](https://api.star-history.com/svg?repos=kangfenmao/cherry-studio&type=Timeline)](https://star-history.com/#kangfenmao/cherry-studio&Timeline)

View File

@@ -1,67 +1,14 @@
<div align="right" >
<details>
<summary >🌐 Language</summary>
<div>
<div align="right">
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=en">English</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=zh-CN">简体中文</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=zh-TW">繁體中文</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=ja">日本語</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=ko">한국어</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=hi">हिन्दी</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=th">ไทย</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=fr">Français</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=de">Deutsch</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=es">Español</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=it">Italiano</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=ru">Русский</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=pt">Português</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=nl">Nederlands</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=pl">Polski</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=ar">العربية</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=fa">فارسی</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=tr">Türkçe</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=vi">Tiếng Việt</a></p>
<p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=id">Bahasa Indonesia</a></p>
</div>
</div>
</details>
</div>
<h1 align="center">
<a href="https://github.com/CherryHQ/cherry-studio/releases">
<img src="https://github.com/CherryHQ/cherry-studio/blob/main/build/icon.png?raw=true" width="150" height="150" alt="banner" /><br>
<img src="https://github.com/CherryHQ/cherry-studio/blob/main/build/icon.png?raw=true" width="150" height="150" alt="banner" />
</a>
</h1>
<p align="center">
<a href="https://github.com/CherryHQ/cherry-studio">English</a> | 中文 | <a href="https://cherry-ai.com">官方网站</a> | <a href="https://docs.cherry-ai.com/cherry-studio-wen-dang/zh-cn">文档</a> | <a href="./dev.md">开发</a> | <a href="https://github.com/CherryHQ/cherry-studio/issues">反馈</a><br>
<a href="https://github.com/CherryHQ/cherry-studio">English</a> | 中文 | <a href="./README.ja.md">日本語</a><br>
</p>
<!-- 题头徽章组合 -->
<div align="center">
[![][deepwiki-shield]][deepwiki-link]
[![][twitter-shield]][twitter-link]
[![][discord-shield]][discord-link]
[![][telegram-shield]][telegram-link]
</div>
<div align="center">
[![][github-release-shield]][github-release-link]
[![][github-contributors-shield]][github-contributors-link]
[![][license-shield]][license-link]
[![][commercial-shield]][commercial-link]
[![][sponsor-shield]][sponsor-link]
</div>
<div align="center">
<a href="https://hellogithub.com/repository/1605492e1e2a4df3be07abfa4578dd37" target="_blank" style="text-decoration: none"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=1605492e1e2a4df3be07abfa4578dd37" alt="FeaturedHelloGitHub" width="220" height="55" /></a>
<a href="https://trendshift.io/repositories/11772" target="_blank" style="text-decoration: none"><img src="https://trendshift.io/api/badge/repositories/11772" alt="kangfenmao%2Fcherry-studio | Trendshift" width="220" height="55" /></a>
<a href="https://www.producthunt.com/posts/cherry-studio?embed=true&utm_source=badge-featured&utm_medium=badge&utm_souce=badge-cherry&#0045;studio" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=496640&theme=light" alt="Cherry&#0032;Studio - AI&#0032;Chatbots&#0044;&#0032;AI&#0032;Desktop&#0032;Client | Product Hunt" width="220" height="55" /></a>
<a href="https://trendshift.io/repositories/11772" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11772" alt="kangfenmao%2Fcherry-studio | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://www.producthunt.com/posts/cherry-studio?embed=true&utm_source=badge-featured&utm_medium=badge&utm_souce=badge-cherry&#0045;studio" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=496640&theme=light" alt="Cherry&#0032;Studio - AI&#0032;Chatbots&#0044;&#0032;AI&#0032;Desktop&#0032;Client | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
</div>
# 🍒 Cherry Studio
@@ -72,6 +19,14 @@ Cherry Studio 是一款支持多个大语言模型LLM服务商的桌面客
❤️ 喜欢 Cherry Studio? 点亮小星星 🌟 或 [赞助开发者](sponsor.md)! ❤️
# GitCode✖Cherry Studio【新源力】贡献挑战赛
<p align="center">
<a href="https://gitcode.com/CherryHQ/cherry-studio/discussion/2">
<img src="https://raw.gitcode.com/user-images/assets/5007375/8d8d7559-1141-4691-b90f-d154558c6896/cherry-studio-gitcode.jpg" width="100%" alt="banner" />
</a>
</p>
# 📖 使用教程
https://docs.cherry-ai.com
@@ -89,7 +44,7 @@ https://docs.cherry-ai.com
1. **多样化 LLM 服务支持**
- ☁️ 支持主流 LLM 云服务OpenAI、Gemini、Anthropic、硅基流动等
- 🔗 集成流行 AI Web 服务Claude、Perplexity、Poe、腾讯元宝、知乎直答等
- 🔗 集成流行 AI Web 服务Claude、Peplexity、Poe、腾讯元宝、知乎直答等
- 💻 支持 Ollama、LM Studio 本地模型部署
2. **智能助手与对话**
@@ -122,42 +77,20 @@ https://docs.cherry-ai.com
- 📝 完整的 Markdown 渲染
- 🤲 便捷的内容分享功能
# 📝 开发计划
# 📝 待办事项
我们正在积极开发以下功能和改进:
1. 🎯 **核心功能**
- 选择助手 - 智能内容选择增强
- 深度研究 - 高级研究能力
- 全局记忆 - 全局上下文感知
- 文档预处理 - 改进文档处理能力
- MCP 市场 - 模型上下文协议生态系统
2. 🗂 **知识管理**
- 笔记与收藏功能
- 动态画布可视化
- OCR 光学字符识别
- TTS 文本转语音支持
3. 📱 **平台支持**
- 鸿蒙版本 (PC)
- Android 应用(第一期)
- iOS 应用(第一期)
- 多窗口支持
- 窗口置顶功能
4. 🔌 **高级特性**
- 插件系统
- ASR 语音识别
- 助手与话题交互重构
在我们的[项目面板](https://github.com/orgs/CherryHQ/projects/7)上跟踪进展并参与贡献。
想要影响开发计划?欢迎加入我们的 [GitHub 讨论区](https://github.com/CherryHQ/cherry-studio/discussions) 分享您的想法和反馈!
- [x] 快捷弹窗(读取剪贴板、快速提问、解释、翻译、总结)
- [x] 多模型回答对比
- [x] 支持使用服务供应商提供的 SSO 进行登录
- [x] 所有模型支持联网
- [x] 推出第一个正式版
- [x] 错误修复和改进(开发中...
- [ ] 插件功能JavaScript
- [ ] 浏览器插件(划词翻译、总结、新增至知识库)
- [ ] iOS & Android 客户端
- [ ] AI 笔记
- [ ] 语音输入输出AI 通话)
- [ ] 数据备份支持自定义备份内容
# 🌈 主题
@@ -169,6 +102,14 @@ https://docs.cherry-ai.com
欢迎 PR 更多主题
# 🖥️ 开发
参考[开发文档](dev.md)
参考[架构概览文档](https://deepwiki.com/CherryHQ/cherry-studio)
参考[分支策略](branching-strategy-zh.md)了解贡献指南
# 🤝 贡献
我们欢迎对 Cherry Studio 的贡献!您可以通过以下方式贡献:
@@ -181,8 +122,6 @@ https://docs.cherry-ai.com
6. **社区参与**:加入讨论并帮助用户
7. **推广使用**:宣传 Cherry Studio
参考[分支策略](branching-strategy-zh.md)了解贡献指南
## 入门
1. **Fork 仓库**Fork 并克隆到您的本地机器
@@ -190,82 +129,10 @@ https://docs.cherry-ai.com
3. **提交更改**:提交并推送您的更改
4. **打开 Pull Request**:描述您的更改和原因
有关更详细的指南,请参阅我们的 [贡献指南](CONTRIBUTING.zh.md)
有关更详细的指南,请参阅我们的 [贡献指南](./CONTRIBUTING.zh.md)
感谢您的支持和贡献!
# 🔧 开发者共创计划
我们正在启动 Cherry Studio 开发者共创计划,旨在为开源生态系统构建一个健康、正向反馈的循环。我们相信,优秀的软件是通过协作构建的,每一个合并的拉取请求都为项目注入新的生命力。
我们诚挚地邀请您加入我们的贡献者队伍,与我们一起塑造 Cherry Studio 的未来。
## 贡献者奖励计划
为了回馈我们的核心贡献者并创造良性循环,我们建立了以下长期激励计划。
**该计划的首个跟踪周期将是 2025 年第三季度7月、8月、9月。此周期的奖励将在 10月1日 发放。**
在任何跟踪周期内(例如,首个周期的 7月1日 至 9月30日任何为 Cherry Studio 在 GitHub 上的开源项目贡献超过 **30 个有意义提交** 的开发者都有资格获得以下福利:
- **Cursor 订阅赞助**:获得 **70 美元** 的 [Cursor](https://cursor.sh/) 订阅积分或报销,让 AI 成为您最高效的编码伙伴。
- **无限模型访问**:获得 **DeepSeek****Qwen** 模型的 **无限次** API 调用。
- **前沿技术访问**:享受偶尔的特殊福利,包括 **Claude**、**Gemini** 和 **OpenAI** 等模型的 API 访问权限,让您始终站在技术前沿。
## 共同成长与未来规划
活跃的社区是任何可持续开源项目背后的推动力。随着 Cherry Studio 的发展,我们的奖励计划也将随之发展。我们致力于持续将我们的福利与行业内最优秀的工具和资源保持一致。这确保我们的核心贡献者获得有意义的支持,创造一个开发者、社区和项目共同成长的正向循环。
**展望未来,该项目还将采取越来越开放的态度来回馈整个开源社区。**
## 如何开始?
我们期待您的第一个拉取请求!
您可以从探索我们的仓库开始,选择一个 `good first issue`,或者提出您自己的改进建议。每一个提交都是开源精神的体现。
感谢您的关注和贡献。
让我们一起建设。
# 🏢 企业版
在社区版的基础上,我们自豪地推出 **Cherry Studio 企业版**——一个为现代团队和企业设计的私有部署 AI 生产力与管理平台。
企业版通过集中管理 AI 资源、知识和数据,解决了团队协作中的核心挑战。它赋能组织提升效率、促进创新并确保合规,同时在安全环境中保持对数据的 100% 控制。
## 核心优势
- **统一模型管理**:集中整合和管理各种基于云的大语言模型(如 OpenAI、Anthropic、Google Gemini和本地部署的私有模型。员工可以开箱即用无需单独配置。
- **企业级知识库**:构建、管理和分享全团队的知识库。确保知识得到保留且一致,使团队成员能够基于统一准确的信息与 AI 交互。
- **细粒度访问控制**:通过统一的管理后台轻松管理员工账户,并为不同模型、知识库和功能分配基于角色的权限。
- **完全私有部署**:在您的本地服务器或私有云上部署整个后端服务,确保您的数据 100% 私有且在您的控制之下,满足最严格的安全和合规标准。
- **可靠的后端服务**:提供稳定的 API 服务、企业级数据备份和恢复机制,确保业务连续性。
## ✨ 在线演示
> 🚧 **公开测试版通知**
>
> 企业版目前处于早期公开测试阶段,我们正在积极迭代和优化其功能。我们知道它可能还不够完全稳定。如果您在试用过程中遇到任何问题或有宝贵建议,我们非常感谢您能通过邮件联系我们提供反馈。
**🔗 [Cherry Studio 企业版](https://www.cherry-ai.com/enterprise)**
## 版本对比
| 功能 | 社区版 | 企业版 |
| :----------- | :---------------------- | :--------------------------------------------------------------------------------------------- |
| **开源** | ✅ 是 | ⭕️ 部分开源,对客户开放 |
| **成本** | 个人使用免费 / 商业授权 | 买断 / 订阅费用 |
| **管理后台** | — | ● 集中化**模型**访问<br>**员工**管理<br>● 共享**知识库**<br>● **访问**控制<br>● **数据**备份 |
| **服务器** | — | ✅ 专用私有部署 |
## 获取企业版
我们相信企业版将成为您团队的 AI 生产力引擎。如果您对 Cherry Studio 企业版感兴趣,希望了解更多信息、请求报价或安排演示,请联系我们。
- **商业咨询与购买**
**📧 [bd@cherry-ai.com](mailto:bd@cherry-ai.com)**
# 🔗 相关项目
- [one-api](https://github.com/songquanpeng/one-api)LLM API 管理及分发系统,支持 OpenAI、Azure、Anthropic 等主流模型,统一 API 接口,可用于密钥管理与二次分发。
@@ -279,43 +146,22 @@ https://docs.cherry-ai.com
</a>
<br /><br />
# 📊 GitHub 统计
# 🌐 社区
![Stats](https://repobeats.axiom.co/api/embed/a693f2e5f773eed620f70031e974552156c7f397.svg 'Repobeats analytics image')
[Telegram](https://t.me/CherryStudioAI) | [Email](mailto:support@cherry-ai.com) | [Twitter](https://x.com/kangfenmao)
# ☕ 赞助
[赞助开发者](sponsor.md)
# 📃 许可证
[LICENSE](../LICENSE)
# ✉️ 联系我们
yinsenho@cherry-ai.com
# ⭐️ Star 记录
<a href="https://www.star-history.com/#CherryHQ/cherry-studio&Date">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=CherryHQ/cherry-studio&type=Date&theme=dark" />
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=CherryHQ/cherry-studio&type=Date" />
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=CherryHQ/cherry-studio&type=Date" />
</picture>
</a>
<!-- Links & Images -->
[deepwiki-shield]: https://img.shields.io/badge/Deepwiki-CherryHQ-0088CC
[deepwiki-link]: https://deepwiki.com/CherryHQ/cherry-studio
[twitter-shield]: https://img.shields.io/badge/Twitter-CherryStudioApp-0088CC?logo=x
[twitter-link]: https://twitter.com/CherryStudioHQ
[discord-shield]: https://img.shields.io/badge/Discord-@CherryStudio-0088CC?logo=discord
[discord-link]: https://discord.gg/wez8HtpxqQ
[telegram-shield]: https://img.shields.io/badge/Telegram-@CherryStudioAI-0088CC?logo=telegram
[telegram-link]: https://t.me/CherryStudioAI
<!-- 项目统计徽章 -->
[github-release-shield]: https://img.shields.io/github/v/release/CherryHQ/cherry-studio
[github-release-link]: https://github.com/CherryHQ/cherry-studio/releases
[github-contributors-shield]: https://img.shields.io/github/contributors/CherryHQ/cherry-studio
[github-contributors-link]: https://github.com/CherryHQ/cherry-studio/graphs/contributors
<!-- 许可和赞助徽章 -->
[license-shield]: https://img.shields.io/badge/License-AGPLv3-important.svg?logo=gnu
[license-link]: https://www.gnu.org/licenses/agpl-3.0
[commercial-shield]: https://img.shields.io/badge/商用授权-联系-white.svg?logoColor=white&logo=telegram&color=blue
[commercial-link]: mailto:license@cherry-ai.com?subject=商业授权咨询
[sponsor-shield]: https://img.shields.io/badge/赞助支持-FF6699.svg?logo=githubsponsors&logoColor=white
[sponsor-link]: https://github.com/CherryHQ/cherry-studio/blob/main/docs/sponsor.md
[![Star History Chart](https://api.star-history.com/svg?repos=kangfenmao/cherry-studio&type=Timeline)](https://star-history.com/#kangfenmao/cherry-studio&Timeline)

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@@ -16,8 +16,6 @@ Cherry Studio implements a structured branching strategy to maintain code qualit
- Only accepts documentation updates and bug fixes
- Thoroughly tested before production deployment
For details about the `testplan` branch used in the Test Plan, please refer to the [Test Plan](testplan-en.md).
## Contributing Branches
When contributing to Cherry Studio, please follow these guidelines:

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@@ -16,8 +16,6 @@ Cherry Studio 采用结构化的分支策略来维护代码质量并简化开发
- 只接受文档更新和 bug 修复
- 经过完整测试后可以发布到生产环境
关于测试计划所使用的`testplan`分支,请查阅[测试计划](testplan-zh.md)。
## 贡献分支
在为 Cherry Studio 贡献代码时,请遵循以下准则:

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@@ -2,9 +2,7 @@
## IDE Setup
- Editor: [Cursor](https://www.cursor.com/), etc. Any VS Code compatible editor.
- Linter: [ESLint](https://marketplace.visualstudio.com/items?itemName=dbaeumer.vscode-eslint)
- Formatter: [Biome](https://marketplace.visualstudio.com/items?itemName=biomejs.biome)
[Cursor](https://www.cursor.com/) + [ESLint](https://marketplace.visualstudio.com/items?itemName=dbaeumer.vscode-eslint) + [Prettier](https://marketplace.visualstudio.com/items?itemName=esbenp.prettier-vscode)
## Project Setup
@@ -33,26 +31,12 @@ corepack prepare yarn@4.6.0 --activate
yarn install
```
### ENV
```bash
copy .env.example .env
```
### Start
```bash
yarn dev
```
### Debug
```bash
yarn debug
```
Then input chrome://inspect in browser
### Test
```bash

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@@ -1,222 +0,0 @@
# Cherry Studio 记忆功能指南
## 功能介绍
Cherry Studio 的记忆功能是一个强大的工具,能够帮助 AI 助手记住对话中的重要信息、用户偏好和上下文。通过记忆功能,您的 AI 助手可以:
- 📝 **记住重要信息**:自动从对话中提取并存储关键事实和信息
- 🧠 **个性化响应**:基于存储的记忆提供更加个性化和相关的回答
- 🔍 **智能检索**:在需要时自动搜索相关记忆,增强对话的连贯性
- 👥 **多用户支持**:为不同用户维护独立的记忆上下文
记忆功能特别适用于需要长期保持上下文的场景,例如个人助手、客户服务、教育辅导等。
## 如何启用记忆功能
### 1. 全局配置(首次设置)
在使用记忆功能之前,您需要先进行全局配置:
1. 点击侧边栏的 **记忆** 图标(记忆棒图标)进入记忆管理页面
2. 点击右上角的 **更多** 按钮(三个点),选择 **设置**
3. 在设置弹窗中配置以下必要项:
- **LLM 模型**:选择用于处理记忆的语言模型(推荐使用 GPT-4 或 Claude 等高级模型)
- **嵌入模型**:选择用于生成向量嵌入的模型(如 text-embedding-3-small
- **嵌入维度**:输入嵌入模型的维度(通常为 1536
4. 点击 **确定** 保存配置
> ⚠️ **注意**:嵌入模型和维度一旦设置后无法更改,请谨慎选择。
### 2. 为助手启用记忆
完成全局配置后,您可以为特定助手启用记忆功能:
1. 进入 **助手** 页面
2. 选择要启用记忆的助手,点击 **编辑**
3. 在助手设置中找到 **记忆** 部分
4. 打开记忆功能开关
5. 保存助手设置
启用后,该助手将在对话过程中自动提取和使用记忆。
## 使用方法
### 查看记忆
1. 点击侧边栏的 **记忆** 图标进入记忆管理页面
2. 您可以看到所有存储的记忆卡片,包括:
- 记忆内容
- 创建时间
- 所属用户
### 添加记忆
手动添加记忆有两种方式:
**方式一:在记忆管理页面添加**
1. 点击右上角的 **添加记忆** 按钮
2. 在弹窗中输入记忆内容
3. 点击 **添加** 保存
**方式二:在对话中自动提取**
- 当助手启用记忆功能后,系统会自动从对话中提取重要信息并存储为记忆
### 编辑记忆
1. 在记忆卡片上点击 **更多** 按钮(三个点)
2. 选择 **编辑**
3. 修改记忆内容
4. 点击 **保存**
### 删除记忆
1. 在记忆卡片上点击 **更多** 按钮
2. 选择 **删除**
3. 确认删除操作
## 记忆搜索
记忆管理页面提供了强大的搜索功能:
1. 在页面顶部的搜索框中输入关键词
2. 系统会实时过滤显示匹配的记忆
3. 搜索支持模糊匹配,可以搜索记忆内容的任何部分
## 用户管理
记忆功能支持多用户,您可以为不同的用户维护独立的记忆库:
### 切换用户
1. 在记忆管理页面,点击右上角的用户选择器
2. 选择要切换到的用户
3. 页面会自动加载该用户的记忆
### 添加新用户
1. 点击用户选择器
2. 选择 **添加新用户**
3. 输入用户 ID支持字母、数字、下划线和连字符
4. 点击 **添加**
### 删除用户
1. 切换到要删除的用户
2. 点击右上角的 **更多** 按钮
3. 选择 **删除用户**
4. 确认删除(注意:这将删除该用户的所有记忆)
> 💡 **提示**默认用户default-user无法删除。
## 设置说明
### LLM 模型
- 用于处理记忆提取和更新的语言模型
- 建议选择能力较强的模型以获得更好的记忆提取效果
- 可随时更改
### 嵌入模型
- 用于将文本转换为向量,支持语义搜索
- 一旦设置后无法更改(为了保证现有记忆的兼容性)
- 推荐使用 OpenAI 的 text-embedding 系列模型
### 嵌入维度
- 嵌入向量的维度,需要与选择的嵌入模型匹配
- 常见维度:
- text-embedding-3-small: 1536
- text-embedding-3-large: 3072
- text-embedding-ada-002: 1536
### 自定义提示词(可选)
- **事实提取提示词**:自定义如何从对话中提取信息
- **记忆更新提示词**:自定义如何更新现有记忆
## 最佳实践
### 1. 合理组织记忆
- 保持记忆简洁明了,每条记忆专注于一个具体信息
- 使用清晰的语言描述事实,避免模糊表达
- 定期审查和清理过时或不准确的记忆
### 2. 多用户场景
- 为不同的使用场景创建独立用户(如工作、个人、学习等)
- 使用有意义的用户 ID便于识别和管理
- 定期备份重要用户的记忆数据
### 3. 模型选择建议
- **LLM 模型**GPT-4、Claude 3 等高级模型能更准确地提取和理解信息
- **嵌入模型**:选择与您的主要使用语言匹配的模型
### 4. 性能优化
- 避免存储过多冗余记忆,这可能影响搜索性能
- 定期整理和合并相似的记忆
- 对于大量记忆的场景,考虑按主题或时间进行分类管理
## 常见问题
### Q: 为什么我无法启用记忆功能?
A: 请确保您已经完成全局配置,包括选择 LLM 模型和嵌入模型。
### Q: 记忆会自动同步到所有助手吗?
A: 不会。每个助手的记忆功能需要单独启用,且记忆是按用户隔离的。
### Q: 如何导出我的记忆数据?
A: 目前系统暂不支持直接导出功能,但所有记忆都存储在本地数据库中。
### Q: 删除的记忆可以恢复吗?
A: 删除操作是永久的,无法恢复。建议在删除前仔细确认。
### Q: 记忆功能会影响对话速度吗?
A: 记忆功能在后台异步处理,不会明显影响对话响应速度。但过多的记忆可能会略微增加搜索时间。
### Q: 如何清空所有记忆?
A: 您可以删除当前用户并重新创建,或者手动删除所有记忆条目。
## 注意事项
### 隐私保护
- 所有记忆数据都存储在您的本地设备上,不会上传到云端
- 请勿在记忆中存储敏感信息(如密码、私钥等)
- 定期审查记忆内容,确保没有意外存储的隐私信息
### 数据安全
- 记忆数据存储在本地数据库中
- 建议定期备份重要数据
- 更换设备时请注意迁移记忆数据
### 使用限制
- 单条记忆的长度建议不超过 500 字
- 每个用户的记忆数量建议控制在 1000 条以内
- 过多的记忆可能影响系统性能
## 技术细节
记忆功能使用了先进的 RAG检索增强生成技术
1. **信息提取**:使用 LLM 从对话中智能提取关键信息
2. **向量化存储**:通过嵌入模型将文本转换为向量,支持语义搜索
3. **智能检索**:在对话时自动搜索相关记忆,提供给 AI 作为上下文
4. **持续学习**:随着对话进行,不断更新和完善记忆库
---
💡 **提示**:记忆功能是 Cherry Studio 的高级特性,合理使用可以大大提升 AI 助手的智能程度和用户体验。如有更多问题,欢迎查阅文档或联系支持团队。

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# CodeBlockView Component Structure
## Overview
CodeBlockView is the core component in Cherry Studio for displaying and manipulating code blocks. It supports multiple view modes and visual previews for special languages, providing rich interactive tools.
## Component Structure
```mermaid
graph TD
A[CodeBlockView] --> B[CodeToolbar]
A --> C[SourceView]
A --> D[SpecialView]
A --> E[StatusBar]
B --> F[CodeToolButton]
C --> G[CodeEditor / CodeViewer]
D --> H[MermaidPreview]
D --> I[PlantUmlPreview]
D --> J[SvgPreview]
D --> K[GraphvizPreview]
F --> L[useCopyTool]
F --> M[useDownloadTool]
F --> N[useViewSourceTool]
F --> O[useSplitViewTool]
F --> P[useRunTool]
F --> Q[useExpandTool]
F --> R[useWrapTool]
F --> S[useSaveTool]
```
## Core Concepts
### View Types
- **preview**: Preview view, where non-source code is displayed as special views
- **edit**: Edit view
### View Modes
- **source**: Source code view mode
- **special**: Special view mode (Mermaid, PlantUML, SVG)
- **split**: Split view mode (source code and special view displayed side by side)
### Special View Languages
- mermaid
- plantuml
- svg
- dot
- graphviz
## Component Details
### CodeBlockView Main Component
Main responsibilities:
1. Managing view mode state
2. Coordinating the display of source code view and special view
3. Managing toolbar tools
4. Handling code execution state
### Subcomponents
#### CodeToolbar
- Toolbar displayed at the top-right corner of the code block
- Contains core and quick tools
- Dynamically displays relevant tools based on context
#### CodeEditor/CodeViewer Source View
- Editable code editor or read-only code viewer
- Uses either component based on settings
- Supports syntax highlighting for multiple programming languages
#### Special View Components
- **MermaidPreview**: Mermaid diagram preview
- **PlantUmlPreview**: PlantUML diagram preview
- **SvgPreview**: SVG image preview
- **GraphvizPreview**: Graphviz diagram preview
All special view components share a common architecture for consistent user experience and functionality. For detailed information about these components and their implementation, see [Image Preview Components Documentation](./ImagePreview-en.md).
#### StatusBar
- Displays Python code execution results
- Can show both text and image results
## Tool System
CodeBlockView uses a hook-based tool system:
```mermaid
graph TD
A[CodeBlockView] --> B[useCopyTool]
A --> C[useDownloadTool]
A --> D[useViewSourceTool]
A --> E[useSplitViewTool]
A --> F[useRunTool]
A --> G[useExpandTool]
A --> H[useWrapTool]
A --> I[useSaveTool]
B --> J[ToolManager]
C --> J
D --> J
E --> J
F --> J
G --> J
H --> J
I --> J
J --> K[CodeToolbar]
```
Each tool hook is responsible for registering specific function tool buttons to the tool manager, which then passes these tools to the CodeToolbar component for rendering.
### Tool Types
- **core**: Core tools, always displayed in the toolbar
- **quick**: Quick tools, displayed in a dropdown menu when there are more than one
### Tool List
1. **Copy**: Copy code or image
2. **Download**: Download code or image
3. **View Source**: Switch between special view and source code view
4. **Split View**: Toggle split view mode
5. **Run**: Run Python code
6. **Expand/Collapse**: Control code block expansion/collapse
7. **Wrap**: Control automatic line wrapping
8. **Save**: Save edited code
## State Management
CodeBlockView manages the following states through React hooks:
1. **viewMode**: Current view mode ('source' | 'special' | 'split')
2. **isRunning**: Python code execution status
3. **executionResult**: Python code execution result
4. **tools**: Toolbar tool list
5. **expandOverride/unwrapOverride**: User override settings for expand/wrap
6. **sourceScrollHeight**: Source code view scroll height
## Interaction Flow
```mermaid
sequenceDiagram
participant U as User
participant CB as CodeBlockView
participant CT as CodeToolbar
participant SV as SpecialView
participant SE as SourceEditor
U->>CB: View code block
CB->>CB: Initialize state
CB->>CT: Register tools
CB->>SV: Render special view (if applicable)
CB->>SE: Render source view
U->>CT: Click tool button
CT->>CB: Trigger tool callback
CB->>CB: Update state
CB->>CT: Re-register tools (if needed)
```
## Special Handling
### HTML Code Blocks
HTML code blocks are specially handled using the HtmlArtifactsCard component.
### Python Code Execution
Supports executing Python code and displaying results using Pyodide to run Python code in the browser.

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@@ -1,180 +0,0 @@
# CodeBlockView 组件结构说明
## 概述
CodeBlockView 是 Cherry Studio 中用于显示和操作代码块的核心组件。它支持多种视图模式和特殊语言的可视化预览,提供丰富的交互工具。
## 组件结构
```mermaid
graph TD
A[CodeBlockView] --> B[CodeToolbar]
A --> C[SourceView]
A --> D[SpecialView]
A --> E[StatusBar]
B --> F[CodeToolButton]
C --> G[CodeEditor / CodeViewer]
D --> H[MermaidPreview]
D --> I[PlantUmlPreview]
D --> J[SvgPreview]
D --> K[GraphvizPreview]
F --> L[useCopyTool]
F --> M[useDownloadTool]
F --> N[useViewSourceTool]
F --> O[useSplitViewTool]
F --> P[useRunTool]
F --> Q[useExpandTool]
F --> R[useWrapTool]
F --> S[useSaveTool]
```
## 核心概念
### 视图类型
- **preview**: 预览视图,非源代码的是特殊视图
- **edit**: 编辑视图
### 视图模式
- **source**: 源代码视图模式
- **special**: 特殊视图模式Mermaid、PlantUML、SVG
- **split**: 分屏模式(源代码和特殊视图并排显示)
### 特殊视图语言
- mermaid
- plantuml
- svg
- dot
- graphviz
## 组件详细说明
### CodeBlockView 主组件
主要负责:
1. 管理视图模式状态
2. 协调源代码视图和特殊视图的显示
3. 管理工具栏工具
4. 处理代码执行状态
### 子组件
#### CodeToolbar 工具栏
- 显示在代码块右上角的工具栏
- 包含核心(core)和快捷(quick)两类工具
- 根据上下文动态显示相关工具
#### CodeEditor/CodeViewer 源代码视图
- 可编辑的代码编辑器或只读的代码查看器
- 根据设置决定使用哪个组件
- 支持多种编程语言高亮
#### 特殊视图组件
- **MermaidPreview**: Mermaid 图表预览
- **PlantUmlPreview**: PlantUML 图表预览
- **SvgPreview**: SVG 图像预览
- **GraphvizPreview**: Graphviz 图表预览
所有特殊视图组件共享通用架构,以确保一致的用户体验和功能。有关这些组件及其实现的详细信息,请参阅 [图像预览组件文档](./ImagePreview-zh.md)。
#### StatusBar 状态栏
- 显示 Python 代码执行结果
- 可显示文本和图像结果
## 工具系统
CodeBlockView 使用基于 hooks 的工具系统:
```mermaid
graph TD
A[CodeBlockView] --> B[useCopyTool]
A --> C[useDownloadTool]
A --> D[useViewSourceTool]
A --> E[useSplitViewTool]
A --> F[useRunTool]
A --> G[useExpandTool]
A --> H[useWrapTool]
A --> I[useSaveTool]
B --> J[ToolManager]
C --> J
D --> J
E --> J
F --> J
G --> J
H --> J
I --> J
J --> K[CodeToolbar]
```
每个工具 hook 负责注册特定功能的工具按钮到工具管理器,工具管理器再将这些工具传递给 CodeToolbar 组件进行渲染。
### 工具类型
- **core**: 核心工具,始终显示在工具栏
- **quick**: 快捷工具当数量大于1时通过下拉菜单显示
### 工具列表
1. **复制(copy)**: 复制代码或图像
2. **下载(download)**: 下载代码或图像
3. **查看源码(view-source)**: 在特殊视图和源码视图间切换
4. **分屏(split-view)**: 切换分屏模式
5. **运行(run)**: 运行 Python 代码
6. **展开/折叠(expand)**: 控制代码块的展开/折叠
7. **换行(wrap)**: 控制代码的自动换行
8. **保存(save)**: 保存编辑的代码
## 状态管理
CodeBlockView 通过 React hooks 管理以下状态:
1. **viewMode**: 当前视图模式 ('source' | 'special' | 'split')
2. **isRunning**: Python 代码执行状态
3. **executionResult**: Python 代码执行结果
4. **tools**: 工具栏工具列表
5. **expandOverride/unwrapOverride**: 用户展开/换行的覆盖设置
6. **sourceScrollHeight**: 源代码视图滚动高度
## 交互流程
```mermaid
sequenceDiagram
participant U as User
participant CB as CodeBlockView
participant CT as CodeToolbar
participant SV as SpecialView
participant SE as SourceEditor
U->>CB: 查看代码块
CB->>CB: 初始化状态
CB->>CT: 注册工具
CB->>SV: 渲染特殊视图(如果适用)
CB->>SE: 渲染源码视图
U->>CT: 点击工具按钮
CT->>CB: 触发工具回调
CB->>CB: 更新状态
CB->>CT: 重新注册工具(如果需要)
```
## 特殊处理
### HTML 代码块
HTML 代码块会被特殊处理,使用 HtmlArtifactsCard 组件显示。
### Python 代码执行
支持执行 Python 代码并显示结果,使用 Pyodide 在浏览器中运行 Python 代码。

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@@ -1,195 +0,0 @@
# Image Preview Components
## Overview
Image Preview Components are a set of specialized components in Cherry Studio for rendering and displaying various diagram and image formats. They provide a consistent user experience across different preview types with shared functionality for loading states, error handling, and interactive controls.
## Supported Formats
- **Mermaid**: Interactive diagrams and flowcharts
- **PlantUML**: UML diagrams and system architecture
- **SVG**: Scalable vector graphics
- **Graphviz/DOT**: Graph visualization and network diagrams
## Architecture
```mermaid
graph TD
A[MermaidPreview] --> D[ImagePreviewLayout]
B[PlantUmlPreview] --> D
C[SvgPreview] --> D
E[GraphvizPreview] --> D
D --> F[ImageToolbar]
D --> G[useDebouncedRender]
F --> H[Pan Controls]
F --> I[Zoom Controls]
F --> J[Reset Function]
F --> K[Dialog Control]
G --> L[Debounced Rendering]
G --> M[Error Handling]
G --> N[Loading State]
G --> O[Dependency Management]
```
## Core Components
### ImagePreviewLayout
A common layout wrapper that provides the foundation for all image preview components.
**Features:**
- **Loading State Management**: Shows loading spinner during rendering
- **Error Display**: Displays error messages when rendering fails
- **Toolbar Integration**: Conditionally renders ImageToolbar when enabled
- **Container Management**: Wraps preview content with consistent styling
- **Responsive Design**: Adapts to different container sizes
**Props:**
- `children`: The preview content to be displayed
- `loading`: Boolean indicating if content is being rendered
- `error`: Error message to display if rendering fails
- `enableToolbar`: Whether to show the interactive toolbar
- `imageRef`: Reference to the container element for image manipulation
### ImageToolbar
Interactive toolbar component providing image manipulation controls.
**Features:**
- **Pan Controls**: 4-directional pan buttons (up, down, left, right)
- **Zoom Controls**: Zoom in/out functionality with configurable increments
- **Reset Function**: Restore original pan and zoom state
- **Dialog Control**: Open preview in expanded dialog view
- **Accessible Design**: Full keyboard navigation and screen reader support
**Layout:**
- 3x3 grid layout positioned at bottom-right of preview
- Responsive button sizing
- Tooltip support for all controls
### useDebouncedRender Hook
A specialized React hook for managing preview rendering with performance optimizations.
**Features:**
- **Debounced Rendering**: Prevents excessive re-renders during rapid content changes (default 300ms delay)
- **Automatic Dependency Management**: Handles dependencies for render and condition functions
- **Error Handling**: Catches and manages rendering errors with detailed error messages
- **Loading State**: Tracks rendering progress with automatic state updates
- **Conditional Rendering**: Supports pre-render condition checks
- **Manual Controls**: Provides trigger, cancel, and state management functions
**API:**
```typescript
const { containerRef, error, isLoading, triggerRender, cancelRender, clearError, setLoading } = useDebouncedRender(
value,
renderFunction,
options
)
```
**Options:**
- `debounceDelay`: Customize debounce timing
- `shouldRender`: Function for conditional rendering logic
## Component Implementations
### MermaidPreview
Renders Mermaid diagrams with special handling for visibility detection.
**Special Features:**
- Syntax validation before rendering
- Visibility detection to handle collapsed containers
- SVG coordinate fixing for edge cases
- Integration with mermaid.js library
### PlantUmlPreview
Renders PlantUML diagrams using the online PlantUML server.
**Special Features:**
- Network error handling and retry logic
- Diagram encoding using deflate compression
- Support for light/dark themes
- Server status monitoring
### SvgPreview
Renders SVG content using Shadow DOM for isolation.
**Special Features:**
- Shadow DOM rendering for style isolation
- Direct SVG content injection
- Minimal processing overhead
- Cross-browser compatibility
### GraphvizPreview
Renders Graphviz/DOT diagrams using the viz.js library.
**Special Features:**
- Client-side rendering with viz.js
- Lazy loading of viz.js library
- SVG element generation
- Memory-efficient processing
## Shared Functionality
### Error Handling
All preview components provide consistent error handling:
- Network errors (connection failures)
- Syntax errors (invalid diagram code)
- Server errors (external service failures)
- Rendering errors (library failures)
### Loading States
Standardized loading indicators across all components:
- Spinner animation during processing
- Progress feedback for long operations
- Smooth transitions between states
### Interactive Controls
Common interaction patterns:
- Pan and zoom functionality
- Reset to original view
- Full-screen dialog mode
- Keyboard accessibility
### Performance Optimizations
- Debounced rendering to prevent excessive updates
- Lazy loading of heavy libraries
- Memory management for large diagrams
- Efficient re-rendering strategies
## Integration with CodeBlockView
Image Preview Components integrate seamlessly with CodeBlockView:
- Automatic format detection based on language tags
- Consistent toolbar integration
- Shared state management
- Responsive layout adaptation
For more information about the overall CodeBlockView architecture, see [CodeBlockView Documentation](./CodeBlockView-en.md).

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# 图像预览组件
## 概述
图像预览组件是 Cherry Studio 中用于渲染和显示各种图表和图像格式的专用组件集合。它们为不同预览类型提供一致的用户体验,具有共享的加载状态、错误处理和交互控制功能。
## 支持格式
- **Mermaid**: 交互式图表和流程图
- **PlantUML**: UML 图表和系统架构
- **SVG**: 可缩放矢量图形
- **Graphviz/DOT**: 图形可视化和网络图表
## 架构
```mermaid
graph TD
A[MermaidPreview] --> D[ImagePreviewLayout]
B[PlantUmlPreview] --> D
C[SvgPreview] --> D
E[GraphvizPreview] --> D
D --> F[ImageToolbar]
D --> G[useDebouncedRender]
F --> H[平移控制]
F --> I[缩放控制]
F --> J[重置功能]
F --> K[对话框控制]
G --> L[防抖渲染]
G --> M[错误处理]
G --> N[加载状态]
G --> O[依赖管理]
```
## 核心组件
### ImagePreviewLayout 图像预览布局
为所有图像预览组件提供基础的通用布局包装器。
**功能特性:**
- **加载状态管理**: 在渲染期间显示加载动画
- **错误显示**: 渲染失败时显示错误信息
- **工具栏集成**: 启用时有条件地渲染 ImageToolbar
- **容器管理**: 使用一致的样式包装预览内容
- **响应式设计**: 适应不同的容器尺寸
**属性:**
- `children`: 要显示的预览内容
- `loading`: 指示内容是否正在渲染的布尔值
- `error`: 渲染失败时显示的错误信息
- `enableToolbar`: 是否显示交互式工具栏
- `imageRef`: 用于图像操作的容器元素引用
### ImageToolbar 图像工具栏
提供图像操作控制的交互式工具栏组件。
**功能特性:**
- **平移控制**: 4方向平移按钮上、下、左、右
- **缩放控制**: 放大/缩小功能,支持可配置的增量
- **重置功能**: 恢复原始平移和缩放状态
- **对话框控制**: 在展开对话框中打开预览
- **无障碍设计**: 完整的键盘导航和屏幕阅读器支持
**布局:**
- 3x3 网格布局,位于预览右下角
- 响应式按钮尺寸
- 所有控件的工具提示支持
### useDebouncedRender Hook 防抖渲染钩子
用于管理预览渲染的专用 React Hook具有性能优化功能。
**功能特性:**
- **防抖渲染**: 防止内容快速变化时的过度重新渲染(默认 300ms 延迟)
- **自动依赖管理**: 处理渲染和条件函数的依赖项
- **错误处理**: 捕获和管理渲染错误,提供详细的错误信息
- **加载状态**: 跟踪渲染进度并自动更新状态
- **条件渲染**: 支持预渲染条件检查
- **手动控制**: 提供触发、取消和状态管理功能
**API:**
```typescript
const { containerRef, error, isLoading, triggerRender, cancelRender, clearError, setLoading } = useDebouncedRender(
value,
renderFunction,
options
)
```
**选项:**
- `debounceDelay`: 自定义防抖时间
- `shouldRender`: 条件渲染逻辑函数
## 组件实现
### MermaidPreview Mermaid 预览
渲染 Mermaid 图表,具有可见性检测的特殊处理。
**特殊功能:**
- 渲染前语法验证
- 可见性检测以处理折叠的容器
- 边缘情况的 SVG 坐标修复
- 与 mermaid.js 库集成
### PlantUmlPreview PlantUML 预览
使用在线 PlantUML 服务器渲染 PlantUML 图表。
**特殊功能:**
- 网络错误处理和重试逻辑
- 使用 deflate 压缩的图表编码
- 支持明/暗主题
- 服务器状态监控
### SvgPreview SVG 预览
使用 Shadow DOM 隔离渲染 SVG 内容。
**特殊功能:**
- Shadow DOM 渲染实现样式隔离
- 直接 SVG 内容注入
- 最小化处理开销
- 跨浏览器兼容性
### GraphvizPreview Graphviz 预览
使用 viz.js 库渲染 Graphviz/DOT 图表。
**特殊功能:**
- 使用 viz.js 进行客户端渲染
- viz.js 库的懒加载
- SVG 元素生成
- 内存高效处理
## 共享功能
### 错误处理
所有预览组件提供一致的错误处理:
- 网络错误(连接失败)
- 语法错误(无效的图表代码)
- 服务器错误(外部服务失败)
- 渲染错误(库失败)
### 加载状态
所有组件的标准化加载指示器:
- 处理期间的动画
- 长时间操作的进度反馈
- 状态间的平滑过渡
### 交互控制
通用交互模式:
- 平移和缩放功能
- 重置到原始视图
- 全屏对话框模式
- 键盘无障碍访问
### 性能优化
- 防抖渲染以防止过度更新
- 重型库的懒加载
- 大型图表的内存管理
- 高效的重新渲染策略
## 与 CodeBlockView 的集成
图像预览组件与 CodeBlockView 无缝集成:
- 基于语言标签的自动格式检测
- 一致的工具栏集成
- 共享状态管理
- 响应式布局适应
有关整体 CodeBlockView 架构的更多信息,请参阅 [CodeBlockView 文档](./CodeBlockView-zh.md)。

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# 代码执行功能
本文档说明了代码块的 Python 代码执行功能。该实现利用 [Pyodide][pyodide-link] 在浏览器环境中直接运行 Python 代码,并将其置于 Web Worker 中,以避免阻塞主 UI 线程。
整个实现分为三个主要部分UI 层、服务层和 Worker 层。
## 执行流程图
```mermaid
sequenceDiagram
participant 用户
participant CodeBlockView (UI)
participant PyodideService (服务)
participant PyodideWorker (Worker)
用户->>CodeBlockView (UI): 点击“运行”按钮
CodeBlockView (UI)->>PyodideService (服务): 调用 runScript(code)
PyodideService (服务)->>PyodideWorker (Worker): 发送 postMessage({ id, python: code })
PyodideWorker (Worker)->>PyodideWorker (Worker): 加载 Pyodide 和相关包
PyodideWorker (Worker)->>PyodideWorker (Worker): (按需)注入垫片并合并代码
PyodideWorker (Worker)->>PyodideWorker (Worker): 执行合并后的 Python 代码
PyodideWorker (Worker)-->>PyodideService (服务): 返回 postMessage({ id, output })
PyodideService (服务)-->>CodeBlockView (UI): 返回 { text, image } 对象
CodeBlockView (UI)->>用户: 在状态栏中显示文本和/或图像输出
```
## 1. UI 层
面向用户的代码执行组件是 [CodeBlockView][codeblock-view-link]。
### 关键机制:
- **运行按钮**:当代码块语言为 `python``codeExecution.enabled` 设置为 true 时,`CodeToolbar` 中会条件性地渲染一个“运行”按钮。
- **事件处理**:运行按钮的 `onClick` 事件会触发 `handleRunScript` 函数。
- **服务调用**`handleRunScript` 调用 `pyodideService.runScript(code)`,将代码块中的 Python 代码传递给服务。
- **状态管理与输出显示**:使用 `executionResult` 来管理所有执行输出,只要有任何结果(文本或图像),[StatusBar][statusbar-link] 组件就会被渲染以统一显示。
```typescript
// src/renderer/src/components/CodeBlockView/view.tsx
const [executionResult, setExecutionResult] = useState<{ text: string; image?: string } | null>(null)
const handleRunScript = useCallback(() => {
setIsRunning(true)
setExecutionResult(null)
pyodideService
.runScript(children, {}, codeExecution.timeoutMinutes * 60000)
.then((result) => {
setExecutionResult(result)
})
.catch((error) => {
console.error('Unexpected error:', error)
setExecutionResult({
text: `Unexpected error: ${error.message || 'Unknown error'}`
})
})
.finally(() => {
setIsRunning(false)
})
}, [children, codeExecution.timeoutMinutes]);
// ... 在 JSX 中
{isExecutable && executionResult && (
<StatusBar>
{executionResult.text}
{executionResult.image && (
<ImageOutput>
<img src={executionResult.image} alt="Matplotlib plot" />
</ImageOutput>
)}
</StatusBar>
)}
```
## 2. 服务层
服务层充当 UI 组件和运行 Pyodide 的 Web Worker 之间的桥梁。其逻辑封装在位于单例类 [PyodideService][pyodide-service-link]。
### 主要职责:
- **Worker 管理**:初始化、管理并与 Pyodide Web Worker 通信。
- **请求处理**:使用 `resolvers` Map 管理并发请求,通过唯一 ID 匹配请求和响应。
- **为 UI 提供 API**:向 UI 提供 `runScript(script, context, timeout)` 方法。此方法的返回值已修改为 `Promise<{ text: string; image?: string }>`,以支持包括图像在内的多种输出类型。
- **输出处理**:从 Worker 接收包含文本、错误和可选图像数据的 `output` 对象。它将文本和错误格式化为对用户友好的单个字符串,然后连同图像数据一起包装成对象返回给 UI 层。
- **IPC 端点**:该服务还提供了一个 `python-execution-request` IPC 端点,允许主进程请求执行 Python 代码,展示了其灵活的架构。
## 3. Worker 层
核心的 Python 执行发生在 [pyodide.worker.ts][pyodide-worker-link] 中定义的 Web Worker 内部。这确保了计算密集的 Python 代码不会冻结用户界面。
### Worker 逻辑:
- **Pyodide 加载**Worker 从 CDN 加载 Pyodide 引擎,并设置处理器以捕获 Python 的 `stdout``stderr`
- **动态包安装**:使用 `pyodide.loadPackagesFromImports()` 自动分析并安装代码中导入的依赖包。
- **按需执行垫片代码**Worker 会检查传入的代码中是否包含 "matplotlib" 字符串。如果是,它会先执行一段 Python“垫片”代码确保图像输出到全局命名空间。
- **结果序列化**:执行结果通过 `.toJs()` 等方法被递归转换为可序列化的标准 JavaScript 对象。
- **返回结构化输出**执行后Worker 将一个包含 `id``output` 对象的-消息发回服务层。`output` 对象是一个结构化对象,包含 `result``text``error` 以及一个可选的 `image` 字段(用于 Base64 图像数据)。
### 数据流
最终的数据流如下:
1. **UI 层 ([CodeBlockView][codeblock-view-link])**: 用户点击“运行”按钮。
2. **服务层 ([PyodideService][pyodide-service-link])**:
- 接收到代码执行请求。
- 调用 Web Worker ([pyodide.worker.ts][pyodide-worker-link]),传递用户代码。
3. **Worker 层 ([pyodide.worker.ts][pyodide-worker-link])**:
- 加载 Pyodide 运行时。
- 动态安装代码中 `import` 语句声明的依赖包。
- **注入 Matplotlib 垫片**: 如果代码中包含 `matplotlib`,则在用户代码前拼接垫片代码,强制使用 `AGG` 后端。
- **执行代码并捕获输出**: 在代码执行后,检查 `matplotlib.pyplot` 的所有 figure如果存在图像则将其保存到内存中的 `BytesIO` 对象,并编码为 Base64 字符串。
- **结构化返回**: 将捕获的文本输出和 Base64 图像数据封装在一个 JSON 对象中 (`{ "text": "...", "image": "data:image/png;base64,..." }`) 返回给主线程。
4. **服务层 ([PyodideService][pyodide-service-link])**:
- 接收来自 Worker 的结构化数据。
- 将数据原样传递给 UI 层。
5. **UI 层 ([CodeBlockView][codeblock-view-link])**:
- 接收包含文本和图像数据的对象。
- 使用一个 `useState` 来管理执行结果 (`executionResult`)。
- 在界面上分别渲染文本输出和图像(如果存在)。
<!-- Link Definitions -->
[pyodide-link]: https://pyodide.org/
[codeblock-view-link]: /src/renderer/src/components/CodeBlockView/view.tsx
[pyodide-service-link]: /src/renderer/src/services/PyodideService.ts
[pyodide-worker-link]: /src/renderer/src/workers/pyodide.worker.ts
[statusbar-link]: /src/renderer/src/components/CodeBlockView/StatusBar.tsx

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# 数据库设置字段
此文档包含部分字段的数据类型说明。
## 字段
| 字段名 | 类型 | 说明 |
| ------------------------------ | ------------------------------ | ------------ |
| `translate:target:language` | `LanguageCode` | 翻译目标语言 |
| `translate:source:language` | `LanguageCode` | 翻译源语言 |
| `translate:bidirectional:pair` | `[LanguageCode, LanguageCode]` | 双向翻译对 |

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@@ -1,16 +0,0 @@
# `translate_languages` 表技术文档
## 📄 概述
`translate_languages` 记录用户自定义的的语言类型(`Language`)。
### 字段说明
| 字段名 | 类型 | 是否主键 | 索引 | 说明 |
| ---------- | ------ | -------- | ---- | ------------------------------------------------------------------------ |
| `id` | string | ✅ 是 | ✅ | 唯一标识符,主键 |
| `langCode` | string | ❌ 否 | ✅ | 语言代码(如:`zh-cn`, `en-us`, `ja-jp` 等,均为小写),支持普通索引查询 |
| `value` | string | ❌ 否 | ❌ | 语言的名称,用户输入 |
| `emoji` | string | ❌ 否 | ❌ | 语言的emoji用户输入 |
> `langCode` 虽非主键,但在业务层应当避免重复插入相同语言代码。

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@@ -1,177 +0,0 @@
# How to Do i18n Gracefully
> [!WARNING]
> This document is machine translated from Chinese. While we strive for accuracy, there may be some imperfections in the translation.
## Enhance Development Experience with the i18n Ally Plugin
i18n Ally is a powerful VSCode extension that provides real-time feedback during development, helping developers detect missing or incorrect translations earlier.
The plugin has already been configured in the project — simply install it to get started.
### Advantages During Development
- **Real-time Preview**: Translated texts are displayed directly in the editor.
- **Error Detection**: Automatically tracks and highlights missing translations or unused keys.
- **Quick Navigation**: Jump to key definitions with Ctrl/Cmd + click.
- **Auto-completion**: Provides suggestions when typing i18n keys.
### Demo
![demo-1](./.assets.how-to-i18n/demo-1.png)
![demo-2](./.assets.how-to-i18n/demo-2.png)
![demo-3](./.assets.how-to-i18n/demo-3.png)
## i18n Conventions
### **Avoid Flat Structure at All Costs**
Never use flat structures like `"add.button.tip": "Add"`. Instead, adopt a clear nested structure:
```json
// Wrong - Flat structure
{
"add.button.tip": "Add",
"delete.button.tip": "Delete"
}
// Correct - Nested structure
{
"add": {
"button": {
"tip": "Add"
}
},
"delete": {
"button": {
"tip": "Delete"
}
}
}
```
#### Why Use Nested Structure?
1. **Natural Grouping**: Related texts are logically grouped by their context through object nesting.
2. **Plugin Requirement**: Tools like i18n Ally require either flat or nested format to properly analyze translation files.
### **Avoid Template Strings in `t()`**
**We strongly advise against using template strings for dynamic interpolation.** While convenient in general JavaScript development, they cause several issues in i18n scenarios.
#### 1. **Plugin Cannot Track Dynamic Keys**
Tools like i18n Ally cannot parse dynamic content within template strings, resulting in:
- No real-time preview
- No detection of missing translations
- No navigation to key definitions
```javascript
// Not recommended - Plugin cannot resolve
const message = t(`fruits.${fruit}`)
```
#### 2. **No Real-time Rendering in Editor**
Template strings appear as raw code instead of the final translated text in IDEs, degrading the development experience.
#### 3. **Harder to Maintain**
Since the plugin cannot track such usages, developers must manually verify the existence of corresponding keys in language files.
### Recommended Approach
To avoid missing keys, all dynamically translated texts should first maintain a `FooKeyMap`, then retrieve the translation text through a function.
For example:
```ts
// src/renderer/src/i18n/label.ts
const themeModeKeyMap = {
dark: 'settings.theme.dark',
light: 'settings.theme.light',
system: 'settings.theme.system'
} as const
export const getThemeModeLabel = (key: string): string => {
return themeModeKeyMap[key] ? t(themeModeKeyMap[key]) : key
}
```
By avoiding template strings, you gain better developer experience, more reliable translation checks, and a more maintainable codebase.
## Automation Scripts
The project includes several scripts to automate i18n-related tasks:
### `check:i18n` - Validate i18n Structure
This script checks:
- Whether all language files use nested structure
- For missing or unused keys
- Whether keys are properly sorted
```bash
yarn check:i18n
```
### `sync:i18n` - Synchronize JSON Structure and Sort Order
This script uses `zh-cn.json` as the source of truth to sync structure across all language files, including:
1. Adding missing keys, with placeholder `[to be translated]`
2. Removing obsolete keys
3. Sorting keys automatically
```bash
yarn sync:i18n
```
### `auto:i18n` - Automatically Translate Pending Texts
This script fills in texts marked as `[to be translated]` using machine translation.
Typically, after adding new texts in `zh-cn.json`, run `sync:i18n`, then `auto:i18n` to complete translations.
Before using this script, set the required environment variables:
```bash
API_KEY="sk-xxx"
BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1/"
MODEL="qwen-plus-latest"
```
Alternatively, add these variables directly to your `.env` file.
```bash
yarn auto:i18n
```
### `update:i18n` - Object-level Translation Update
Updates translations in language files under `src/renderer/src/i18n/translate` at the object level, preserving existing translations and only updating new content.
**Not recommended** — prefer `auto:i18n` for translation tasks.
```bash
yarn update:i18n
```
### Workflow
1. During development, first add the required text in `zh-cn.json`
2. Confirm it displays correctly in the Chinese environment
3. Run `yarn sync:i18n` to propagate the keys to other language files
4. Run `yarn auto:i18n` to perform machine translation
5. Grab a coffee and let the magic happen!
## Best Practices
1. **Use Chinese as Source Language**: All development starts in Chinese, then translates to other languages.
2. **Run Check Script Before Commit**: Use `yarn check:i18n` to catch i18n issues early.
3. **Translate in Small Increments**: Avoid accumulating a large backlog of untranslated content.
4. **Keep Keys Semantically Clear**: Keys should clearly express their purpose, e.g., `user.profile.avatar.upload.error`

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# 如何优雅地做好 i18n
## 使用i18n ally插件提升开发体验
i18n ally是一个强大的VSCode插件它能在开发阶段提供实时反馈帮助开发者更早发现文案缺失和错译问题。
项目中已经配置好了插件设置,直接安装即可。
### 开发时优势
- **实时预览**:翻译文案会直接显示在编辑器中
- **错误检测**自动追踪标记出缺失的翻译或未使用的key
- **快速跳转**可通过key直接跳转到定义处Ctrl/Cmd + click)
- **自动补全**输入i18n key时提供自动补全建议
### 效果展示
![demo-1](./.assets.how-to-i18n/demo-1.png)
![demo-2](./.assets.how-to-i18n/demo-2.png)
![demo-3](./.assets.how-to-i18n/demo-3.png)
## i18n 约定
### **绝对避免使用flat格式**
绝对避免使用flat格式`"add.button.tip": "添加"`。应采用清晰的嵌套结构:
```json
// 错误示例 - flat结构
{
"add.button.tip": "添加",
"delete.button.tip": "删除"
}
// 正确示例 - 嵌套结构
{
"add": {
"button": {
"tip": "添加"
}
},
"delete": {
"button": {
"tip": "删除"
}
}
}
```
#### 为什么要使用嵌套结构
1. **自然分组**:通过对象结构天然能将相关上下文的文案分到一个组别中
2. **插件要求**i18n ally 插件需要嵌套或flat格式其一的文件才能正常分析
### **避免在`t()`中使用模板字符串**
**强烈建议避免使用模板字符串**进行动态插值。虽然模板字符串在JavaScript开发中非常方便但在国际化场景下会带来一系列问题。
1. **插件无法跟踪**
i18n ally等工具无法解析模板字符串中的动态内容导致
- 无法正确显示实时预览
- 无法检测翻译缺失
- 无法提供跳转到定义的功能
```javascript
// 不推荐 - 插件无法解析
const message = t(`fruits.${fruit}`)
```
2. **编辑器无法实时渲染**
在IDE中模板字符串会显示为原始代码而非最终翻译结果降低了开发体验。
3. **更难以维护**
由于插件无法跟踪这样的文案,编辑器中也无法渲染,开发者必须人工确认语言文件中是否存在相应的文案。
### 推荐做法
为了避免键的缺失,所有需要动态翻译的文本都应当先维护一个`FooKeyMap`,再通过函数获取翻译文本。
例如:
```ts
// src/renderer/src/i18n/label.ts
const themeModeKeyMap = {
dark: 'settings.theme.dark',
light: 'settings.theme.light',
system: 'settings.theme.system'
} as const
export const getThemeModeLabel = (key: string): string => {
return themeModeKeyMap[key] ? t(themeModeKeyMap[key]) : key
}
```
通过避免模板字符串,可以获得更好的开发体验、更可靠的翻译检查以及更易维护的代码库。
## 自动化脚本
项目中有一系列脚本来自动化i18n相关任务
### `check:i18n` - 检查i18n结构
此脚本会检查:
- 所有语言文件是否为嵌套结构
- 是否存在缺失的key
- 是否存在多余的key
- 是否已经有序
```bash
yarn check:i18n
```
### `sync:i18n` - 同步json结构与排序
此脚本以`zh-cn.json`文件为基准,将结构同步到其他语言文件,包括:
1. 添加缺失的键。缺少的翻译内容会以`[to be translated]`标记
2. 删除多余的键
3. 自动排序
```bash
yarn sync:i18n
```
### `auto:i18n` - 自动翻译待翻译文本
次脚本自动将标记为待翻译的文本通过机器翻译填充。
通常,在`zh-cn.json`中添加所需文案后,执行`sync:i18n`即可自动完成翻译。
使用该脚本前,需要配置环境变量,例如:
```bash
API_KEY="sk-xxx"
BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1/"
MODEL="qwen-plus-latest"
```
你也可以通过直接编辑`.env`文件来添加环境变量。
```bash
yarn auto:i18n
```
### `update:i18n` - 对象级别翻译更新
对`src/renderer/src/i18n/translate`中的语言文件进行对象级别的翻译更新,保留已有翻译,只更新新增内容。
**不建议**使用该脚本,更推荐使用`auto:i18n`进行翻译。
```bash
yarn update:i18n
```
### 工作流
1. 开发阶段,先在`zh-cn.json`中添加所需文案
2. 确认在中文环境下显示无误后,使用`yarn sync:i18n`将文案同步到其他语言文件
3. 使用`yarn auto:i18n`进行自动翻译
4. 喝杯咖啡,等翻译完成吧!
## 最佳实践
1. **以中文为源语言**:所有开发首先使用中文,再翻译为其他语言
2. **提交前运行检查脚本**:使用`yarn check:i18n`检查i18n是否有问题
3. **小步提交翻译**:避免积累大量未翻译文本
4. **保持key语义明确**key应能清晰表达其用途如`user.profile.avatar.upload.error`

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# How to use the LoggerService
This is a developer document on how to use the logger.
CherryStudio uses a unified logging service to print and record logs. **Unless there is a special reason, do not use `console.xxx` to print logs**.
The following are detailed instructions.
## Usage in the `main` process
### Importing
```typescript
import { loggerService } from '@logger'
```
### Setting module information (Required by convention)
After the import statements, set it up as follows:
```typescript
const logger = loggerService.withContext('moduleName')
```
- `moduleName` is the name of the current file's module. It can be named after the filename, main class name, main function name, etc. The principle is to be clear and understandable.
- `moduleName` will be printed in the terminal and will also be present in the file log, making it easier to filter.
### Setting `CONTEXT` information (Optional)
In `withContext`, you can also set other `CONTEXT` information:
```typescript
const logger = loggerService.withContext('moduleName', CONTEXT)
```
- `CONTEXT` is an object of the form `{ key: value, ... }`.
- `CONTEXT` information will not be printed in the terminal, but it will be recorded in the file log, making it easier to filter.
### Logging
In your code, you can call `logger` at any time to record logs. The supported levels are: `error`, `warn`, `info`, `verbose`, `debug`, and `silly`.
For the meaning of each level, please refer to the subsequent sections.
The following are the supported parameters for logging (using `logger.LEVEL` as an example, where `LEVEL` represents one of the levels mentioned above):
```typescript
logger.LEVEL(message)
logger.LEVEL(message, CONTEXT)
logger.LEVEL(message, error)
logger.LEVEL(message, error, CONTEXT)
```
**Only the four calling methods above are supported**.
| Parameter | Type | Description |
| --------- | -------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `message` | `string` | Required. This is the core field of the log, containing the main content to be recorded. |
| `CONTEXT` | `object` | Optional. Additional information to be recorded in the log file. It is recommended to use the `{ key: value, ...}` format. |
| `error` | `Error` | Optional. The error stack trace will also be printed.<br />Note that the `error` caught by `catch(error)` is of the `unknown` type. According to TypeScript best practices, you should first use `instanceof` for type checking. If you are certain it is an `Error` type, you can also use a type assertion like `as Error`. |
#### Recording non-`object` type context information
```typescript
const foo = getFoo()
logger.debug(`foo ${foo}`)
```
### Log Levels
- In the development environment, all log levels are printed to the terminal and recorded in the file log.
- In the production environment, the default log level is `info`. Logs are only recorded to the file and are not printed to the terminal.
Changing the log level:
- You can change the log level with `logger.setLevel('newLevel')`.
- `logger.resetLevel()` resets it to the default level.
- `logger.getLevel()` gets the current log level.
**Note:** Changing the log level has a global effect. Please do not change it arbitrarily in your code unless you are very clear about what you are doing.
## Usage in the `renderer` process
Usage in the `renderer` process for _importing_, _setting module information_, and _setting context information_ is **exactly the same** as in the `main` process.
The following section focuses on the differences.
### `initWindowSource`
In the `renderer` process, there are different `window`s. Before starting to use the `logger`, we must set the `window` information:
```typescript
loggerService.initWindowSource('windowName')
```
As a rule, we will set this in the `window`'s `entryPoint.tsx`. This ensures that `windowName` is set before it's used.
- An error will be thrown if `windowName` is not set, and the `logger` will not work.
- `windowName` can only be set once; subsequent attempts to set it will have no effect.
- `windowName` will not be printed in the `devTool`'s `console`, but it will be recorded in the `main` process terminal and the file log.
- `initWindowSource` returns the LoggerService instance, allowing for method chaining.
### Log Levels
- In the development environment, all log levels are printed to the `devTool`'s `console` by default.
- In the production environment, the default log level is `info`, and logs are printed to the `devTool`'s `console`.
- In both development and production environments, `warn` and `error` level logs are, by default, transmitted to the `main` process and recorded in the file log.
- In the development environment, the `main` process terminal will also print the logs transmitted from the renderer.
#### Changing the Log Level
Same as in the `main` process, you can manage the log level using `setLevel('level')`, `resetLevel()`, and `getLevel()`.
Similarly, changing the log level is a global adjustment.
#### Changing the Level Transmitted to `main`
Logs from the `renderer` are sent to `main` to be managed and recorded to a file centrally (according to `main`'s file logging level). By default, only `warn` and `error` level logs are transmitted to `main`.
There are two ways to change the log level for transmission to `main`:
##### Global Change
The following methods can be used to set, reset, and get the log level for transmission to `main`, respectively.
```typescript
logger.setLogToMainLevel('newLevel')
logger.resetLogToMainLevel()
logger.getLogToMainLevel()
```
**Note:** This method has a global effect. Please do not change it arbitrarily in your code unless you are very clear about what you are doing.
##### Per-log Change
By adding `{ logToMain: true }` at the end of the log call, you can force a single log entry to be transmitted to `main` (bypassing the global log level restriction), for example:
```typescript
logger.info('message', { logToMain: true })
```
## About `worker` Threads
- Currently, logging is not supported for workers in the `main` process.
- Logging is supported for workers started in the `renderer` process, but currently these logs are not sent to `main` for recording.
### How to Use Logging in `renderer` Workers
Since worker threads are independent, using LoggerService in them is equivalent to using it in a new `renderer` window. Therefore, you must first call `initWindowSource`.
If the worker is relatively simple (just one file), you can also use method chaining directly:
```typescript
const logger = loggerService.initWindowSource('Worker').withContext('LetsWork')
```
## Filtering Logs with Environment Variables
In a development environment, you can define environment variables to filter displayed logs by level and module. This helps developers focus on their specific logs and improves development efficiency.
Environment variables can be set in the terminal or defined in the `.env` file in the project's root directory. The available variables are as follows:
| Variable Name | Description |
| -------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `CSLOGGER_MAIN_LEVEL` | Log level for the `main` process. Logs below this level will not be displayed. |
| `CSLOGGER_MAIN_SHOW_MODULES` | Filters log modules for the `main` process. Use a comma (`,`) to separate modules. The filter is case-sensitive. Only logs from modules in this list will be displayed. |
| `CSLOGGER_RENDERER_LEVEL` | Log level for the `renderer` process. Logs below this level will not be displayed. |
| `CSLOGGER_RENDERER_SHOW_MODULES` | Filters log modules for the `renderer` process. Use a comma (`,`) to separate modules. The filter is case-sensitive. Only logs from modules in this list will be displayed. |
Example:
```bash
CSLOGGER_MAIN_LEVEL=verbose
CSLOGGER_MAIN_SHOW_MODULES=MCPService,SelectionService
```
Note:
- Environment variables are only effective in the development environment.
- These variables only affect the logs displayed in the terminal or DevTools. They do not affect file logging or the `logToMain` recording logic.
## Log Level Usage Guidelines
There are many log levels. The following are the guidelines that should be followed in CherryStudio for when to use each level:
(Arranged from highest to lowest log level)
| Log Level | Core Definition & Use case | Example |
| :------------ | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **`error`** | **Critical error causing the program to crash or core functionality to become unusable.** <br> This is the highest-priority log, usually requiring immediate reporting or user notification. | - Main or renderer process crash. <br> - Failure to read/write critical user data files (e.g., database, configuration files), preventing the application from running. <br> - All unhandled exceptions. |
| **`warn`** | **Potential issue or unexpected situation that does not affect the program's core functionality.** <br> The program can recover or use a fallback. | - Configuration file `settings.json` is missing; started with default settings. <br> - Auto-update check failed, but does not affect the use of the current version. <br> - A non-essential plugin failed to load. |
| **`info`** | **Records application lifecycle events and key user actions.** <br> This is the default level that should be recorded in a production release to trace the user's main operational path. | - Application start, exit. <br> - User successfully opens/saves a file. <br> - Main window created/closed. <br> - Starting an important task (e.g., "Start video export"). |
| **`verbose`** | **More detailed flow information than `info`, used for tracing specific features.** <br> Enabled when diagnosing issues with a specific feature to help understand the internal execution flow. | - Loading `Toolbar` module. <br> - IPC message `open-file-dialog` sent from the renderer process. <br> - Applying filter 'Sepia' to the image. |
| **`debug`** | **Detailed diagnostic information used during development and debugging.** <br> **Must not be enabled by default in production releases**, as it may contain sensitive data and impact performance. | - Parameters for function `renderImage`: `{ width: 800, ... }`. <br> - Specific data content received by IPC message `save-file`. <br> - Details of Redux/Vuex state changes in the renderer process. |
| **`silly`** | **The most detailed, low-level information, used only for extreme debugging.** <br> Rarely used in regular development; only for solving very difficult problems. | - Real-time mouse coordinates `(x: 150, y: 320)`. <br> - Size of each data chunk when reading a file. <br> - Time taken for each rendered frame. |

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# 如何使用日志 LoggerService
这是关于如何使用日志的开发者文档。
CherryStudio使用统一的日志服务来打印和记录日志**若无特殊原因,请勿使用`console.xxx`来打印日志**。
以下是详细说明。
## 在`main`进程中使用
### 引入
```typescript
import { loggerService } from '@logger'
```
### 设置module信息规范要求
在import头之后设置
```typescript
const logger = loggerService.withContext('moduleName')
```
- `moduleName`是当前文件模块的名称,命名可以以文件名、主类名、主函数名等,原则是清晰明了
- `moduleName`会在终端中打印出来,也会在文件日志中体现,方便筛选
### 设置`CONTEXT`信息(可选)
`withContext`中,也可以设置其他`CONTEXT`信息:
```typescript
const logger = loggerService.withContext('moduleName', CONTEXT)
```
- `CONTEXT``{ key: value, ... }`
- `CONTEXT`信息不会在终端中打印出来,但是会在文件日志中记录,方便筛选
### 记录日志
在代码中,可以随时调用 `logger` 来记录日志,支持的级别有:`error`, `warn`, `info`, `verbose`, `debug`, `silly`
各级别的含义,请参考后面的章节。
以下支持的记录日志的参数(以 `logger.LEVEL` 举例如何使用,`LEVEL`指代为上述级别):
```typescript
logger.LEVEL(message)
logger.LEVEL(message, CONTEXT)
logger.LEVEL(message, error)
logger.LEVEL(message, error, CONTEXT)
```
**只支持上述四种调用方式**
| 参数 | 类型 | 说明 |
| --------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `message` | `string` | 必填项。这是日志的核心字段,记录的重点内容 |
| `CONTEXT` | `object` | 可选。其他需要再日志文件中记录的信息,建议为`{ key: value, ...}`格式 |
| `error` | `Error` | 可选。同时会打印错误堆栈信息。<br />注意`catch(error)`所捕获的`error``unknown`类型,按照`Typescript`最佳实践,请先用`instanceof`进行类型判断,如果确信一定是`Error`类型,也可用断言`as Error`。 |
#### 记录非`object`类型的上下文信息
```typescript
const foo = getFoo()
logger.debug(`foo ${foo}`)
```
### 记录级别
- 开发环境下,所有级别的日志都会打印到终端,并且记录到文件日志中
- 生产环境下,默认记录级别为`info`,日志只会记录到文件,不会打印到终端
更改日志记录级别:
- 可以通过 `logger.setLevel('newLevel')` 来更改日志记录级别
- `logger.resetLevel()` 可以重置为默认级别
- `logger.getLevel()` 可以获取当前记录记录级别
**注意** 更改日志记录级别是全局生效的,请不要在代码中随意更改,除非你非常清楚自己在做什么
## 在`renderer`进程中使用
`renderer`进程中使用_引入方法_、_设置`module`信息_、*设置`context`信息的方法*和`main`进程中是**完全一样**的。
下面着重讲一下不同之处。
### `initWindowSource`
`renderer`进程中,有不同的`window`,在开始使用`logger`之前,我们必须设置`window`信息:
```typescript
loggerService.initWindowSource('windowName')
```
原则上,我们将在`window``entryPoint.tsx`中进行设置,这可以保证`windowName`在开始使用前已经设置好了。
- 未设置`windowName`会报错,`logger`将不起作用
- `windowName`只能设置一次,重复设置将不生效
- `windowName`不会在`devTool``console`中打印出来,但是会在`main`进程的终端和文件日志中记录
- `initWindowSource`返回的是LoggerService的实例因此可以做链式调用
### 记录级别
- 开发环境下,默认所有级别的日志都会打印到`devTool``console`
- 生产环境下,默认记录级别为`info`,日志会打印到`devTool``console`
- 在开发和生产环境下,默认`warn``error`级别的日志,会传输给`main`进程,并记录到文件日志
- 开发环境下,`main`进程终端中也会打印传输过来的日志
#### 更改日志记录级别
`main`进程中一样,你可以通过`setLevel('level')``resetLevel()``getLevel()`来管理日志记录级别。
同样,该日志记录级别也是全局调整的。
#### 更改传输到`main`的级别
`renderer`的日志发送到`main`,并由`main`统一管理和记录到文件(根据`main`的记录到文件的级别),默认只有`warn``error`级别的日志会传输到`main`
有以下两种方式,可以更改传输到`main`的日志级别:
##### 全局更改
以下方法可以分别设置、重置和获取传输到`main`的日志级别
```typescript
logger.setLogToMainLevel('newLevel')
logger.resetLogToMainLevel()
logger.getLogToMainLevel()
```
**注意** 该方法是全局生效的,请不要在代码中随意更改,除非你非常清楚自己在做什么
##### 单条更改
在日志记录的最末尾,加上`{ logToMain: true }`,即可将本条日志传输到`main`(不受全局日志级别限制),例如:
```typescript
logger.info('message', { logToMain: true })
```
## 关于`worker`线程
- 现在不支持`main`进程中的`worker`的日志。
- 支持`renderer`中起的`worker`的日志,但是现在该日志不会发送给`main`进行记录。
### 如何在`renderer`的`worker`中使用日志
由于`worker`线程是独立的在其中使用LoggerService等同于在一个新`renderer`窗口中使用。因此也必须先`initWindowSource`
如果`worker`比较简单,只有一个文件,也可以使用链式语法直接使用:
```typescript
const logger = loggerService.initWindowSource('Worker').withContext('LetsWork')
```
## 使用环境变量来筛选要显示的日志
在开发环境中可以通过环境变量的定义来筛选要显示的日志的级别和module。开发者可以专注于自己的日志提高开发效率。
环境变量可以在终端中自行设置,或者在开发根目录的`.env`文件中进行定义,可以定义的变量如下:
| 变量名 | 含义 |
| -------------------------------- | ----------------------------------------------------------------------------------------------- |
| `CSLOGGER_MAIN_LEVEL` | 用于`main`进程的日志级别,低于该级别的日志将不显示 |
| `CSLOGGER_MAIN_SHOW_MODULES` | 用于`main`进程的日志module筛选`,`分隔区分大小写。只有在该列表中的module的日志才会显示 |
| `CSLOGGER_RENDERER_LEVEL` | 用于`renderer`进程的日志级别,低于该级别的日志将不显示 |
| `CSLOGGER_RENDERER_SHOW_MODULES` | 用于`renderer`进程的日志module筛选`,`分隔区分大小写。只有在该列表中的module的日志才会显示 |
示例:
```bash
CSLOGGER_MAIN_LEVEL=verbose
CSLOGGER_MAIN_SHOW_MODULES=MCPService,SelectionService
```
注意:
- 环境变量仅在开发环境中生效
- 该变量仅会改变在终端或在devTools中显示的日志不会影响文件日志和`logToMain`的记录逻辑
## 日志级别的使用规范
日志有很多级别什么时候应该用哪个级别下面是在CherryStudio中应该遵循的规范
(按日志级别从高到低排列)
| 日志级别 | 核心定义与使用场景 | 示例 |
| :------------ | :------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------- |
| **`error`** | **严重错误,导致程序崩溃或核心功能无法使用。** <br> 这是最高优的日志,通常需要立即上报或提示用户。 | - 主进程或渲染进程崩溃。 <br> - 无法读写用户关键数据文件(如数据库、配置文件),导致应用无法运行。<br> - 所有未捕获的异常。 |
| **`warn`** | **潜在问题或非预期情况,但不影响程序核心功能。** <br> 程序可以从中恢复或使用备用方案。 | - 配置文件 `settings.json` 缺失,已使用默认配置启动。 <br> - 自动更新检查失败,但不影响当前版本使用。<br> - 某个非核心插件加载失败。 |
| **`info`** | **记录应用生命周期和关键用户行为。** <br> 这是发布版中默认应记录的级别,用于追踪用户的主要操作路径。 | - 应用启动、退出。<br> - 用户成功打开/保存文件。 <br> - 主窗口创建/关闭。<br> - 开始执行一项重要任务(如“开始导出视频”)。 |
| **`verbose`** | **比 `info` 更详细的流程信息,用于追踪特定功能。** <br> 在诊断特定功能问题时开启,帮助理解内部执行流程。 | - 正在加载 `Toolbar` 模块。 <br> - IPC 消息 `open-file-dialog` 已从渲染进程发送。<br> - 正在应用滤镜 'Sepia' 到图像。 |
| **`debug`** | **开发和调试时使用的详细诊断信息。** <br> **严禁在发布版中默认开启**,因为它可能包含敏感数据并影响性能。 | - 函数 `renderImage` 的入参: `{ width: 800, ... }`<br> - IPC 消息 `save-file` 收到的具体数据内容。<br> - 渲染进程中 Redux/Vuex 的 state 变更详情。 |
| **`silly`** | **最详尽的底层信息,仅用于极限调试。** <br> 几乎不在常规开发中使用,仅为解决棘手问题。 | - 鼠标移动的实时坐标 `(x: 150, y: 320)`<br> - 读取文件时每个数据块chunk的大小。<br> - 每一次渲染帧的耗时。 |

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# 如何为 AI Provider 编写中间件
本文档旨在指导开发者如何为我们的 AI Provider 框架创建和集成自定义中间件。中间件提供了一种强大而灵活的方式来增强、修改或观察 Provider 方法的调用过程,例如日志记录、缓存、请求/响应转换、错误处理等。
## 架构概览
我们的中间件架构借鉴了 Redux 的三段式设计,并结合了 JavaScript Proxy 来动态地将中间件应用于 Provider 的方法。
- **Proxy**: 拦截对 Provider 方法的调用,并将调用引导至中间件链。
- **中间件链**: 一系列按顺序执行的中间件函数。每个中间件都可以处理请求/响应,然后将控制权传递给链中的下一个中间件,或者在某些情况下提前终止链。
- **上下文 (Context)**: 一个在中间件之间传递的对象携带了关于当前调用的信息如方法名、原始参数、Provider 实例、以及中间件自定义的数据)。
## 中间件的类型
目前主要支持两种类型的中间件,它们共享相似的结构但针对不同的场景:
1. **`CompletionsMiddleware`**: 专门为 `completions` 方法设计。这是最常用的中间件类型,因为它允许对 AI 模型的核心聊天/文本生成功能进行精细控制。
2. **`ProviderMethodMiddleware`**: 通用中间件,可以应用于 Provider 上的任何其他方法(例如,`translate`, `summarize` 等,如果这些方法也通过中间件系统包装)。
## 编写一个 `CompletionsMiddleware`
`CompletionsMiddleware` 的基本签名TypeScript 类型)如下:
```typescript
import { AiProviderMiddlewareCompletionsContext, CompletionsParams, MiddlewareAPI } from './AiProviderMiddlewareTypes' // 假设类型定义文件路径
export type CompletionsMiddleware = (
api: MiddlewareAPI<AiProviderMiddlewareCompletionsContext, [CompletionsParams]>
) => (
next: (context: AiProviderMiddlewareCompletionsContext, params: CompletionsParams) => Promise<any> // next 返回 Promise<any> 代表原始SDK响应或下游中间件的结果
) => (context: AiProviderMiddlewareCompletionsContext, params: CompletionsParams) => Promise<void> // 最内层函数通常返回 Promise<void>,因为结果通过 onChunk 或 context 副作用传递
```
让我们分解这个三段式结构:
1. **第一层函数 `(api) => { ... }`**:
- 接收一个 `api` 对象。
- `api` 对象提供了以下方法:
- `api.getContext()`: 获取当前调用的上下文对象 (`AiProviderMiddlewareCompletionsContext`)。
- `api.getOriginalArgs()`: 获取传递给 `completions` 方法的原始参数数组 (即 `[CompletionsParams]`)。
- `api.getProviderId()`: 获取当前 Provider 的 ID。
- `api.getProviderInstance()`: 获取原始的 Provider 实例。
- 此函数通常用于进行一次性的设置或获取所需的服务/配置。它返回第二层函数。
2. **第二层函数 `(next) => { ... }`**:
- 接收一个 `next` 函数。
- `next` 函数代表了中间件链中的下一个环节。调用 `next(context, params)` 会将控制权传递给下一个中间件,或者如果当前中间件是链中的最后一个,则会调用核心的 Provider 方法逻辑 (例如,实际的 SDK 调用)。
- `next` 函数接收当前的 `context``params` (这些可能已被上游中间件修改)。
- **重要的是**`next` 的返回类型通常是 `Promise<any>`。对于 `completions` 方法,如果 `next` 调用了实际的 SDK它将返回原始的 SDK 响应例如OpenAI 的流对象或 JSON 对象)。你需要处理这个响应。
- 此函数返回第三层(也是最核心的)函数。
3. **第三层函数 `(context, params) => { ... }`**:
- 这是执行中间件主要逻辑的地方。
- 它接收当前的 `context` (`AiProviderMiddlewareCompletionsContext`) 和 `params` (`CompletionsParams`)。
- 在此函数中,你可以:
- **在调用 `next` 之前**:
- 读取或修改 `params`。例如,添加默认参数、转换消息格式。
- 读取或修改 `context`。例如,设置一个时间戳用于后续计算延迟。
- 执行某些检查,如果不满足条件,可以不调用 `next` 而直接返回或抛出错误(例如,参数校验失败)。
- **调用 `await next(context, params)`**:
- 这是将控制权传递给下游的关键步骤。
- `next` 的返回值是原始的 SDK 响应或下游中间件的结果,你需要根据情况处理它(例如,如果是流,则开始消费流)。
- **在调用 `next` 之后**:
- 处理 `next` 的返回结果。例如,如果 `next` 返回了一个流,你可以在这里开始迭代处理这个流,并通过 `context.onChunk` 发送数据块。
- 基于 `context` 的变化或 `next` 的结果执行进一步操作。例如,计算总耗时、记录日志。
- 修改最终结果(尽管对于 `completions`,结果通常通过 `onChunk` 副作用发出)。
### 示例:一个简单的日志中间件
```typescript
import {
AiProviderMiddlewareCompletionsContext,
CompletionsParams,
MiddlewareAPI,
OnChunkFunction // 假设 OnChunkFunction 类型被导出
} from './AiProviderMiddlewareTypes' // 调整路径
import { ChunkType } from '@renderer/types' // 调整路径
export const createSimpleLoggingMiddleware = (): CompletionsMiddleware => {
return (api: MiddlewareAPI<AiProviderMiddlewareCompletionsContext, [CompletionsParams]>) => {
return (next: (context: AiProviderMiddlewareCompletionsContext, params: CompletionsParams) => Promise<any>) => {
return async (context: AiProviderMiddlewareCompletionsContext, params: CompletionsParams): Promise<void> => {
const startTime = Date.now()
// 从 context 中获取 onChunk (它最初来自 params.onChunk)
const onChunk = context.onChunk
logger.debug(
`[LoggingMiddleware] Request for ${context.methodName} with params:`,
params.messages?.[params.messages.length - 1]?.content
)
try {
// 调用下一个中间件或核心逻辑
// `rawSdkResponse` 是来自下游的原始响应 (例如 OpenAIStream 或 ChatCompletion 对象)
const rawSdkResponse = await next(context, params)
// 此处简单示例不处理 rawSdkResponse假设下游中间件 (如 StreamingResponseHandler)
// 会处理它并通过 onChunk 发送数据。
// 如果这个日志中间件在 StreamingResponseHandler 之后,那么流已经被处理。
// 如果在之前,那么它需要自己处理 rawSdkResponse 或确保下游会处理。
const duration = Date.now() - startTime
logger.debug(`[LoggingMiddleware] Request for ${context.methodName} completed in ${duration}ms.`)
// 假设下游已经通过 onChunk 发送了所有数据。
// 如果这个中间件是链的末端,并且需要确保 BLOCK_COMPLETE 被发送,
// 它可能需要更复杂的逻辑来跟踪何时所有数据都已发送。
} catch (error) {
const duration = Date.now() - startTime
logger.error(`[LoggingMiddleware] Request for ${context.methodName} failed after ${duration}ms:`, error)
// 如果 onChunk 可用,可以尝试发送一个错误块
if (onChunk) {
onChunk({
type: ChunkType.ERROR,
error: { message: (error as Error).message, name: (error as Error).name, stack: (error as Error).stack }
})
// 考虑是否还需要发送 BLOCK_COMPLETE 来结束流
onChunk({ type: ChunkType.BLOCK_COMPLETE, response: {} })
}
throw error // 重新抛出错误,以便上层或全局错误处理器可以捕获
}
}
}
}
}
```
### `AiProviderMiddlewareCompletionsContext` 的重要性
`AiProviderMiddlewareCompletionsContext` 是在中间件之间传递状态和数据的核心。它通常包含:
- `methodName`: 当前调用的方法名 (总是 `'completions'`)。
- `originalArgs`: 传递给 `completions` 的原始参数数组。
- `providerId`: Provider 的 ID。
- `_providerInstance`: Provider 实例。
- `onChunk`: 从原始 `CompletionsParams` 传入的回调函数,用于流式发送数据块。**所有中间件都应该通过 `context.onChunk` 来发送数据。**
- `messages`, `model`, `assistant`, `mcpTools`: 从原始 `CompletionsParams` 中提取的常用字段,方便访问。
- **自定义字段**: 中间件可以向上下文中添加自定义字段,以供后续中间件使用。例如,一个缓存中间件可能会添加 `context.cacheHit = true`
**关键**: 当你在中间件中修改 `params``context` 时,这些修改会向下游中间件传播(如果它们在 `next` 调用之前修改)。
### 中间件的顺序
中间件的执行顺序非常重要。它们在 `AiProviderMiddlewareConfig` 的数组中定义的顺序就是它们的执行顺序。
- 请求首先通过第一个中间件,然后是第二个,依此类推。
- 响应(或 `next` 的调用结果)则以相反的顺序"冒泡"回来。
例如,如果链是 `[AuthMiddleware, CacheMiddleware, LoggingMiddleware]`
1. `AuthMiddleware` 先执行其 "调用 `next` 之前" 的逻辑。
2. 然后 `CacheMiddleware` 执行其 "调用 `next` 之前" 的逻辑。
3. 然后 `LoggingMiddleware` 执行其 "调用 `next` 之前" 的逻辑。
4. 核心SDK调用或链的末端
5. `LoggingMiddleware` 先接收到结果,执行其 "调用 `next` 之后" 的逻辑。
6. 然后 `CacheMiddleware` 接收到结果(可能已被 LoggingMiddleware 修改的上下文),执行其 "调用 `next` 之后" 的逻辑(例如,存储结果)。
7. 最后 `AuthMiddleware` 接收到结果,执行其 "调用 `next` 之后" 的逻辑。
### 注册中间件
中间件在 `src/renderer/src/providers/middleware/register.ts` (或其他类似的配置文件) 中进行注册。
```typescript
// register.ts
import { AiProviderMiddlewareConfig } from './AiProviderMiddlewareTypes'
import { createSimpleLoggingMiddleware } from './common/SimpleLoggingMiddleware' // 假设你创建了这个文件
import { createCompletionsLoggingMiddleware } from './common/CompletionsLoggingMiddleware' // 已有的
const middlewareConfig: AiProviderMiddlewareConfig = {
completions: [
createSimpleLoggingMiddleware(), // 你新加的中间件
createCompletionsLoggingMiddleware() // 已有的日志中间件
// ... 其他 completions 中间件
],
methods: {
// translate: [createGenericLoggingMiddleware()],
// ... 其他方法的中间件
}
}
export default middlewareConfig
```
### 最佳实践
1. **单一职责**: 每个中间件应专注于一个特定的功能(例如,日志、缓存、转换特定数据)。
2. **无副作用 (尽可能)**: 除了通过 `context``onChunk` 明确的副作用外,尽量避免修改全局状态或产生其他隐蔽的副作用。
3. **错误处理**:
- 在中间件内部使用 `try...catch` 来处理可能发生的错误。
- 决定是自行处理错误(例如,通过 `onChunk` 发送错误块)还是将错误重新抛出给上游。
- 如果重新抛出,确保错误对象包含足够的信息。
4. **性能考虑**: 中间件会增加请求处理的开销。避免在中间件中执行非常耗时的同步操作。对于IO密集型操作确保它们是异步的。
5. **可配置性**: 使中间件的行为可通过参数或配置进行调整。例如,日志中间件可以接受一个日志级别参数。
6. **上下文管理**:
- 谨慎地向 `context` 添加数据。避免污染 `context` 或添加过大的对象。
- 明确你添加到 `context` 的字段的用途和生命周期。
7. **`next` 的调用**:
- 除非你有充分的理由提前终止请求(例如,缓存命中、授权失败),否则**总是确保调用 `await next(context, params)`**。否则,下游的中间件和核心逻辑将不会执行。
- 理解 `next` 的返回值并正确处理它,特别是当它是一个流时。你需要负责消费这个流或将其传递给另一个能够消费它的组件/中间件。
8. **命名清晰**: 给你的中间件和它们创建的函数起描述性的名字。
9. **文档和注释**: 对复杂的中间件逻辑添加注释,解释其工作原理和目的。
### 调试技巧
- 在中间件的关键点使用 `logger.debug` 或调试器来检查 `params``context` 的状态以及 `next` 的返回值。
- 暂时简化中间件链,只保留你正在调试的中间件和最简单的核心逻辑,以隔离问题。
- 编写单元测试来独立验证每个中间件的行为。
通过遵循这些指南,你应该能够有效地为我们的系统创建强大且可维护的中间件。如果你有任何疑问或需要进一步的帮助,请咨询团队。

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# Test Plan
To provide users with a more stable application experience and faster iteration speed, Cherry Studio has launched the "Test Plan".
## User Guide
The Test Plan is divided into the RC channel and the Beta channel, with the following differences:
- **RC (Release Candidate)**: The features are stable, with fewer bugs, and it is close to the official release.
- **Beta**: Features may change at any time, and there may be more bugs, but users can experience future features earlier.
Users can enable the "Test Plan" and select the version channel in the software's `Settings` > `About`. Please note that the versions in the "Test Plan" cannot guarantee data consistency, so be sure to back up your data before using them.
Users are welcome to submit issues or provide feedback through other channels for any bugs encountered during testing. Your feedback is very important to us.
## Developer Guide
### Participating in the Test Plan
Developers should submit `PRs` according to the [Contributor Guide](../CONTRIBUTING.md) (and ensure the target branch is `main`). The repository maintainers will evaluate whether the `PR` should be included in the Test Plan based on factors such as the impact of the feature on the application, its importance, and whether broader testing is needed.
If the `PR` is added to the Test Plan, the repository maintainers will:
- Notify the `PR` submitter.
- Set the PR to `draft` status (to avoid accidental merging into `main` before testing is complete).
- Set the `milestone` to the specific Test Plan version.
- Modify the `PR` title.
During participation in the Test Plan, `PR` submitters should:
- Keep the `PR` branch synchronized with the latest `main` (i.e., the `PR` branch should always be based on the latest `main` code).
- Ensure the `PR` branch is conflict-free.
- Actively respond to comments & reviews and fix bugs.
- Enable maintainers to modify the `PR` branch to allow for bug fixes at any time.
Inclusion in the Test Plan does not guarantee the final merging of the `PR`. It may be shelved due to immature features or poor testing feedback.
### Test Plan Lead
A maintainer will be assigned as the lead for a specific version (e.g., `1.5.0-rc`). The responsibilities of the Test Plan lead include:
- Determining whether a `PR` meets the Test Plan requirements and deciding whether it should be included in the current Test Plan.
- Modifying the status of `PRs` added to the Test Plan and communicating relevant matters with the `PR` submitter.
- Before the Test Plan release, merging the branches of `PRs` added to the Test Plan (using squash merge) into the corresponding version branch of `testplan` and resolving conflicts.
- Ensuring the `testplan` branch is synchronized with the latest `main`.
- Overseeing the Test Plan release.
## In-Depth Understanding
### About `PRs`
A `PR` is a collection of a specific branch (and commits), comments, reviews, and other information, and it is the **smallest management unit** of the Test Plan.
Compared to submitting all features to a single branch, the Test Plan manages features through `PRs`, which offers greater flexibility and efficiency:
- Features can be added or removed between different versions of the Test Plan without cumbersome `revert` operations.
- Clear feature boundaries and responsibilities are established. Bug fixes are completed within their respective `PRs`, isolating cross-impact and better tracking progress.
- The `PR` submitter is responsible for resolving conflicts with the latest `main`. The Test Plan lead is responsible for resolving conflicts between `PR` branches. However, since features added to the Test Plan are relatively independent (in other words, if a feature has broad implications, it should be independently included in the Test Plan), conflicts are generally few or simple.
### The `testplan` Branch
The `testplan` branch is a **temporary** branch used for Test Plan releases.
Note:
- **Do not develop based on this branch**. It may change or even be deleted at any time, and there is no guarantee of commit completeness or order.
- **Do not submit `commits` or `PRs` to this branch**, as they will not be retained.
- The `testplan` branch is always based on the latest `main` branch (not on a released version), with features added on top.
#### RC Branch
Branch name: `testplan/rc/x.y.z`
Used for RC releases, where `x.y.z` is the target version number. Note that whether it is rc.1 or rc.5, as long as the major version number is `x.y.z`, it is completed in this branch.
Generally, the version number for releases from this branch is named `x.y.z-rc.n`.
#### Beta Branch
Branch name: `testplan/beta/x.y.z`
Used for Beta releases, where `x.y.z` is the target version number. Note that whether it is beta.1 or beta.5, as long as the major version number is `x.y.z`, it is completed in this branch.
Generally, the version number for releases from this branch is named `x.y.z-beta.n`.
### Version Rules
The application version number for the Test Plan is: `x.y.z-CHA.n`, where:
- `x.y.z` is the conventional version number, referred to here as the **target version number**.
- `CHA` is the channel code (Channel), currently divided into `rc` and `beta`.
- `n` is the release number, starting from `1`.
Examples of complete version numbers: `1.5.0-rc.3`, `1.5.1-beta.1`, `1.6.0-beta.6`.
The **target version number** of the Test Plan points to the official version number where these features are expected to be added. For example:
- `1.5.0-rc.3` means this is a preview of the `1.5.0` official release (the current latest official release is `1.4.9`, and `1.5.0` has not yet been officially released).
- `1.5.1-beta.1` means this is a beta version of the `1.5.1` official release (the current latest official release is `1.5.0`, and `1.5.1` has not yet been officially released).

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# 测试计划
为了给用户提供更稳定的应用体验并提供更快的迭代速度Cherry Studio推出“测试计划”。
## 用户指南
测试计划分为RC版通道和Beta版通道吗区别在于
- **RC版预览版**RC即Release Candidate功能已经稳定BUG较少接近正式版
- **Beta版测试版**功能可能随时变化BUG较多可以较早体验未来功能
用户可以在软件的`设置`-`关于`中,开启“测试计划”并选择版本通道。请注意“测试计划”的版本无法保证数据的一致性,请使用前一定要备份数据。
用户在测试过程中发现的BUG欢迎提交issue或通过其他渠道反馈。用户的反馈对我们非常重要。
## 开发者指南
### 参与测试计划
开发者按照[贡献者指南](CONTRIBUTING.zh.md)要求正常提交`PR`并注意提交target为`main`)。仓库维护者会综合考虑(例如该功能对应用的影响程度,功能的重要性,是否需要更广泛的测试等),决定该`PR`是否应加入测试计划。
若该`PR`加入测试计划,仓库维护者会做如下操作:
- 通知`PR`提交人
- 设置PR为`draft`状态(避免在测试完成前意外并入`main`
- `milestone`设置为具体测试计划版本
- 修改`PR`标题
`PR`提交人在参与测试计划过程中,应做到:
- 保持`PR`分支与最新`main`同步(即`PR`分支总是应基于最新`main`代码)
- 保持`PR`分支为无冲突状态
- 积极响应 comments & reviews修复bug
- 开启维护者可以修改`PR`分支的权限以便维护者能随时修改BUG
加入测试计划并不保证`PR`的最终合并,也有可能由于功能不成熟或测试反馈不佳而搁置
### 测试计划负责人
某个维护者会被指定为某个版本期间(例如`1.5.0-rc`)的测试计划负责人。测试计划负责人的工作为:
- 判断某个`PR`是否符合测试计划要求,并决定是否应合入当期测试计划
- 修改加入测试计划的`PR`状态,并与`PR`提交人沟通相关事宜
- 在测试计划发版前,将加入测试计划的`PR`分支逐一合并采用squash merge`testplan`对应版本分支,并解决冲突
- 保证`testplan`分支与最新`main`同步
- 负责测试计划发版
## 深入理解
### 关于`PR`
`PR`是特定分支及commits、comments、reviews等各种信息的集合也是测试计划的**最小管理单元**。
相比将所有功能都提交到某个分支,测试计划通过`PR`来管理功能,这可以带来极大的灵活度和效率:
- 测试计划的各个版本间,可以随意增减功能,而无需繁琐的`revert`操作
- 明确了功能边界和负责人bug修复在各自`PR`中完成,隔离了交叉影响,也能更好观察进度
- `PR`提交人负责与最新`main`之间的冲突;测试计划负责人负责各`PR`分支之间的冲突,但因加入测试计划的各功能相对比较独立(话句话说,如果功能牵涉较广,则应独立上测试计划),冲突一般比较少或简单。
### `testplan`分支
`testplan`分支是用于测试计划发版所用的**临时**分支。
注意:
- **请勿基于该分支开发**。该分支随时会变化甚至删除且并不保证commit的完整和顺序。
- **请勿向该分支提交`commit``PR`**,将不会得到保留
- `testplan`分支总是基于最新`main`分支(而不是基于已发布版本),在其之上添加功能
#### RC版分支
分支名称:`testplan/rc/x.y.z`
用于RC版的发版x.y.z为目标版本号注意无论是rc.1还是rc.5只要主版本号为x.y.z都在该分支完成。
一般而言,该分支发版的版本号命名为`x.y.z-rc.n`
#### Beta版分支
分支名称:`testplan/beta/x.y.z`
用于Beta版的发版x.y.z为目标版本号注意无论是beta.1还是beta.5只要主版本号为x.y.z都在该分支完成。
一般而言,该分支发版的版本号命名为`x.y.z-beta.n`
### 版本规则
测试计划的应用版本号为:`x.y.z-CHA.n`,其中:
- `x.y.z`为一般意义上的版本号,在这里称为**目标版本号**
- `CHA`为通道号Channel现在分为`rc``beta`
- `n`为发版编号,从`1`计数
完整的版本号举例:`1.5.0-rc.3``1.5.1-beta.1``1.6.0-beta.6`
测试计划的**目标版本号**指向希望添加这些功能的正式版版本号。例如:
- `1.5.0-rc.3`是指,这是`1.5.0`正式版的预览版(当前最新正式版是`1.4.9`,而`1.5.0`正式版还未发布)
- `1.5.1-beta.1`是指,这是`1.5.1`正式版的测试版(当前最新正式版是`1.5.0`,而`1.5.1`正式版还未发布)

View File

@@ -9,61 +9,36 @@ electronLanguages:
- zh_CN # for macOS
- zh_TW # for macOS
- en # for macOS
- de
directories:
buildResources: build
protocols:
- name: Cherry Studio
schemes:
- cherrystudio
files:
- "**/*"
- "!**/{.vscode,.yarn,.yarn-lock,.github,.cursorrules,.prettierrc}"
- "!electron.vite.config.{js,ts,mjs,cjs}}"
- "!**/{.eslintignore,.eslintrc.js,.eslintrc.json,.eslintcache,root.eslint.config.js,eslint.config.js,.eslintrc.cjs,.prettierignore,.prettierrc.yaml,eslint.config.mjs,dev-app-update.yml,CHANGELOG.md,README.md,biome.jsonc}"
- "!**/{.env,.env.*,.npmrc,pnpm-lock.yaml}"
- "!**/{tsconfig.json,tsconfig.tsbuildinfo,tsconfig.node.json,tsconfig.web.json}"
- "!**/{.editorconfig,.jekyll-metadata}"
- "!src"
- "!scripts"
- "!local"
- "!docs"
- "!packages"
- "!.swc"
- "!.bin"
- "!._*"
- "!*.log"
- "!stats.html"
- "!*.md"
- "!**/*.{iml,o,hprof,orig,pyc,pyo,rbc,swp,csproj,sln,xproj}"
- "!**/*.{map,ts,tsx,jsx,less,scss,sass,css.d.ts,d.cts,d.mts,md,markdown,yaml,yml}"
- "!**/{test,tests,__tests__,powered-test,coverage}/**"
- "!**/{example,examples}/**"
- "!**/*.{spec,test}.{js,jsx,ts,tsx}"
- "!**/*.min.*.map"
- "!**/*.d.ts"
- "!**/dist/es6/**"
- "!**/dist/demo/**"
- "!**/amd/**"
- "!**/{.DS_Store,Thumbs.db,thumbs.db,__pycache__}"
- "!**/{LICENSE,license,LICENSE.*,*.LICENSE.txt,NOTICE.txt,README.md,readme.md,CHANGELOG.md}"
- "!node_modules/rollup-plugin-visualizer"
- "!node_modules/js-tiktoken"
- "!node_modules/@tavily/core/node_modules/js-tiktoken"
- "!node_modules/pdf-parse/lib/pdf.js/{v1.9.426,v1.10.88,v2.0.550}"
- "!node_modules/mammoth/{mammoth.browser.js,mammoth.browser.min.js}"
- "!node_modules/selection-hook/prebuilds/**/*" # we rebuild .node, don't use prebuilds
- "!node_modules/selection-hook/node_modules" # we don't need what in the node_modules dir
- "!node_modules/selection-hook/src" # we don't need source files
- "!node_modules/tesseract.js-core/{tesseract-core.js,tesseract-core.wasm,tesseract-core.wasm.js}" # we don't need source files
- "!node_modules/tesseract.js-core/{tesseract-core-lstm.js,tesseract-core-lstm.wasm,tesseract-core-lstm.wasm.js}" # we don't need source files
- "!node_modules/tesseract.js-core/{tesseract-core-simd-lstm.js,tesseract-core-simd-lstm.wasm,tesseract-core-simd-lstm.wasm.js}" # we don't need source files
- "!**/*.{h,iobj,ipdb,tlog,recipe,vcxproj,vcxproj.filters,Makefile,*.Makefile}" # filter .node build files
- '!{.vscode,.yarn,.github}'
- '!electron.vite.config.{js,ts,mjs,cjs}'
- '!{.eslintignore,.eslintrc.cjs,.prettierignore,.prettierrc.yaml,dev-app-update.yml,CHANGELOG.md,README.md}'
- '!{.env,.env.*,.npmrc,pnpm-lock.yaml}'
- '!{tsconfig.json,tsconfig.node.json,tsconfig.web.json}'
- '!src'
- '!scripts'
- '!local'
- '!docs'
- '!packages'
- '!stats.html'
- '!*.md'
- '!**/*.{map,ts,tsx,jsx,less,scss,sass,css.d.ts,d.cts,d.mts,md,markdown,yaml,yml}'
- '!**/{test,tests,__tests__,coverage}/**'
- '!**/*.{spec,test}.{js,jsx,ts,tsx}'
- '!**/*.min.*.map'
- '!**/*.d.ts'
- '!**/{.DS_Store,Thumbs.db}'
- '!**/{LICENSE,LICENSE.txt,LICENSE-MIT.txt,*.LICENSE.txt,NOTICE.txt,README.md,CHANGELOG.md}'
- '!node_modules/rollup-plugin-visualizer'
- '!node_modules/js-tiktoken'
- '!node_modules/@tavily/core/node_modules/js-tiktoken'
- '!node_modules/pdf-parse/lib/pdf.js/{v1.9.426,v1.10.88,v2.0.550}'
- '!node_modules/mammoth/{mammoth.browser.js,mammoth.browser.min.js}'
asarUnpack:
- resources/**
- "**/*.{metal,exp,lib}"
- "node_modules/@img/sharp-libvips-*/**"
- '**/*.{metal,exp,lib}'
win:
executableName: Cherry Studio
artifactName: ${productName}-${version}-${arch}-setup.${ext}
@@ -89,7 +64,7 @@ mac:
entitlementsInherit: build/entitlements.mac.plist
notarize: false
artifactName: ${productName}-${version}-${arch}.${ext}
minimumSystemVersion: "20.1.0" # 最低支持 macOS 11.0
minimumSystemVersion: '20.1.0' # 最低支持 macOS 11.0
extendInfo:
- NSCameraUsageDescription: Application requests access to the device's camera.
- NSMicrophoneUsageDescription: Application requests access to the device's microphone.
@@ -102,8 +77,6 @@ linux:
artifactName: ${productName}-${version}-${arch}.${ext}
target:
- target: AppImage
- target: deb
- target: rpm
maintainer: electronjs.org
category: Utility
desktop:
@@ -111,76 +84,24 @@ linux:
StartupWMClass: CherryStudio
mimeTypes:
- x-scheme-handler/cherrystudio
rpm:
# Workaround for electron build issue on rpm package:
# https://github.com/electron/forge/issues/3594
fpm: ["--rpm-rpmbuild-define=_build_id_links none"]
publish:
provider: generic
url: https://releases.cherry-ai.com
electronDownload:
mirror: https://npmmirror.com/mirrors/electron/
beforePack: scripts/before-pack.js
afterPack: scripts/after-pack.js
afterSign: scripts/notarize.js
artifactBuildCompleted: scripts/artifact-build-completed.js
releaseInfo:
releaseNotes: |
<!--LANG:en-->
What's New in v1.7.0-beta.2
New Features:
- Session Settings: Manage session-specific settings and model configurations independently
- Notes Full-Text Search: Search across all notes with match highlighting
- Built-in DiDi MCP Server: Integration with DiDi ride-hailing services (China only)
- Intel OV OCR: Hardware-accelerated OCR using Intel NPU
- Auto-start API Server: Automatically starts when agents exist
Improvements:
- Agent model selection now requires explicit user choice
- Added Mistral AI provider support
- Added NewAPI generic provider support
- Improved navbar layout consistency across different modes
- Enhanced chat component responsiveness
- Better code block display on small screens
- Updated OVMS to 2025.3 official release
- Added Greek language support
Bug Fixes:
- Fixed GitHub Copilot gpt-5-codex streaming issues
- Fixed assistant creation failures
- Fixed translate auto-copy functionality
- Fixed miniapps external link opening
- Fixed message layout and overflow issues
- Fixed API key parsing to preserve spaces
- Fixed agent display in different navbar layouts
<!--LANG:zh-CN-->
v1.7.0-beta.2 新特性
新功能:
- 会话设置:独立管理会话特定的设置和模型配置
- 笔记全文搜索:跨所有笔记搜索并高亮匹配内容
- 内置滴滴 MCP 服务器:集成滴滴打车服务(仅限中国地区)
- Intel OV OCR使用 Intel NPU 的硬件加速 OCR
- 自动启动 API 服务器:当存在 Agent 时自动启动
改进:
- Agent 模型选择现在需要用户显式选择
- 添加 Mistral AI 提供商支持
- 添加 NewAPI 通用提供商支持
- 改进不同模式下的导航栏布局一致性
- 增强聊天组件响应式设计
- 优化小屏幕代码块显示
- 更新 OVMS 至 2025.3 正式版
- 添加希腊语支持
问题修复:
- 修复 GitHub Copilot gpt-5-codex 流式传输问题
- 修复助手创建失败
- 修复翻译自动复制功能
- 修复小程序外部链接打开
- 修复消息布局和溢出问题
- 修复 API 密钥解析以保留空格
- 修复不同导航栏布局中的 Agent 显示
<!--LANG:END-->
⚠️ 注意:升级前请备份数据,否则将无法降级
增加 TokenFlux 服务商
增加 Claude 4 模型支持
Grok 模型增加联网能力
小程序支持前进和后退
修复 Windows 用户 MCP 无法启动问题
修复无法搜索历史消息问题
修复 MCP 代理问题
修复精简备份恢复覆盖文件问题
修复@模型回复插入位置错误问题
修复搜索小程序崩溃问题

View File

@@ -1,74 +1,57 @@
import react from '@vitejs/plugin-react-swc'
import { CodeInspectorPlugin } from 'code-inspector-plugin'
import { defineConfig, externalizeDepsPlugin } from 'electron-vite'
import { resolve } from 'path'
import { visualizer } from 'rollup-plugin-visualizer'
// assert not supported by biome
// import pkg from './package.json' assert { type: 'json' }
import pkg from './package.json'
const visualizerPlugin = (type: 'renderer' | 'main') => {
return process.env[`VISUALIZER_${type.toUpperCase()}`] ? [visualizer({ open: true })] : []
}
const isDev = process.env.NODE_ENV === 'development'
const isProd = process.env.NODE_ENV === 'production'
export default defineConfig({
main: {
plugins: [externalizeDepsPlugin(), ...visualizerPlugin('main')],
plugins: [
externalizeDepsPlugin({
exclude: [
'@cherrystudio/embedjs',
'@cherrystudio/embedjs-openai',
'@cherrystudio/embedjs-loader-web',
'@cherrystudio/embedjs-loader-markdown',
'@cherrystudio/embedjs-loader-msoffice',
'@cherrystudio/embedjs-loader-xml',
'@cherrystudio/embedjs-loader-pdf',
'@cherrystudio/embedjs-loader-sitemap',
'@cherrystudio/embedjs-libsql',
'@cherrystudio/embedjs-loader-image',
'p-queue',
'webdav'
]
}),
...visualizerPlugin('main')
],
resolve: {
alias: {
'@main': resolve('src/main'),
'@types': resolve('src/renderer/src/types'),
'@shared': resolve('packages/shared'),
'@logger': resolve('src/main/services/LoggerService'),
'@mcp-trace/trace-core': resolve('packages/mcp-trace/trace-core'),
'@mcp-trace/trace-node': resolve('packages/mcp-trace/trace-node')
'@shared': resolve('packages/shared')
}
},
build: {
rollupOptions: {
external: ['bufferutil', 'utf-8-validate', 'electron', ...Object.keys(pkg.dependencies)],
output: {
manualChunks: undefined, // 彻底禁用代码分割 - 返回 null 强制单文件打包
inlineDynamicImports: true // 内联所有动态导入,这是关键配置
},
onwarn(warning, warn) {
if (warning.code === 'COMMONJS_VARIABLE_IN_ESM') return
warn(warning)
}
},
sourcemap: isDev
},
esbuild: isProd ? { legalComments: 'none' } : {},
optimizeDeps: {
noDiscovery: isDev
external: ['@libsql/client']
}
}
},
preload: {
plugins: [
react({
tsDecorators: true
}),
externalizeDepsPlugin()
],
plugins: [externalizeDepsPlugin()],
resolve: {
alias: {
'@shared': resolve('packages/shared'),
'@mcp-trace/trace-core': resolve('packages/mcp-trace/trace-core')
'@shared': resolve('packages/shared')
}
},
build: {
sourcemap: isDev
}
},
renderer: {
plugins: [
(async () => (await import('@tailwindcss/vite')).default())(),
react({
tsDecorators: true,
plugins: [
[
'@swc/plugin-styled-components',
@@ -81,48 +64,27 @@ export default defineConfig({
]
]
}),
...(isDev ? [CodeInspectorPlugin({ bundler: 'vite' })] : []), // 只在开发环境下启用 CodeInspectorPlugin
...visualizerPlugin('renderer')
],
resolve: {
alias: {
'@renderer': resolve('src/renderer/src'),
'@shared': resolve('packages/shared'),
'@types': resolve('src/renderer/src/types'),
'@logger': resolve('src/renderer/src/services/LoggerService'),
'@mcp-trace/trace-core': resolve('packages/mcp-trace/trace-core'),
'@mcp-trace/trace-web': resolve('packages/mcp-trace/trace-web'),
'@cherrystudio/ai-core/provider': resolve('packages/aiCore/src/core/providers'),
'@cherrystudio/ai-core/built-in/plugins': resolve('packages/aiCore/src/core/plugins/built-in'),
'@cherrystudio/ai-core': resolve('packages/aiCore/src'),
'@cherrystudio/extension-table-plus': resolve('packages/extension-table-plus/src')
'@shared': resolve('packages/shared')
}
},
optimizeDeps: {
exclude: ['pyodide'],
esbuildOptions: {
target: 'esnext' // for dev
}
exclude: ['pyodide']
},
worker: {
format: 'es'
},
build: {
target: 'esnext', // for build
rollupOptions: {
input: {
index: resolve(__dirname, 'src/renderer/index.html'),
miniWindow: resolve(__dirname, 'src/renderer/miniWindow.html'),
selectionToolbar: resolve(__dirname, 'src/renderer/selectionToolbar.html'),
selectionAction: resolve(__dirname, 'src/renderer/selectionAction.html'),
traceWindow: resolve(__dirname, 'src/renderer/traceWindow.html')
},
onwarn(warning, warn) {
if (warning.code === 'COMMONJS_VARIABLE_IN_ESM') return
warn(warning)
miniWindow: resolve(__dirname, 'src/renderer/miniWindow.html')
}
}
},
esbuild: isProd ? { legalComments: 'none' } : {}
}
}
})

View File

@@ -1,9 +1,8 @@
import electronConfigPrettier from '@electron-toolkit/eslint-config-prettier'
import tseslint from '@electron-toolkit/eslint-config-ts'
import eslint from '@eslint/js'
import eslintReact from '@eslint-react/eslint-plugin'
import { defineConfig } from 'eslint/config'
import importZod from 'eslint-plugin-import-zod'
import oxlint from 'eslint-plugin-oxlint'
import reactHooks from 'eslint-plugin-react-hooks'
import simpleImportSort from 'eslint-plugin-simple-import-sort'
import unusedImports from 'eslint-plugin-unused-imports'
@@ -11,13 +10,13 @@ import unusedImports from 'eslint-plugin-unused-imports'
export default defineConfig([
eslint.configs.recommended,
tseslint.configs.recommended,
electronConfigPrettier,
eslintReact.configs['recommended-typescript'],
reactHooks.configs['recommended-latest'],
{
plugins: {
'simple-import-sort': simpleImportSort,
'unused-imports': unusedImports,
'import-zod': importZod
'unused-imports': unusedImports
},
rules: {
'@typescript-eslint/explicit-function-return-type': 'off',
@@ -27,30 +26,32 @@ export default defineConfig([
'simple-import-sort/exports': 'error',
'unused-imports/no-unused-imports': 'error',
'@eslint-react/no-prop-types': 'error',
'import-zod/prefer-zod-namespace': 'error'
'prettier/prettier': ['error', { endOfLine: 'auto' }]
}
},
// Configuration for ensuring compatibility with the original ESLint(8.x) rules
{
rules: {
'@typescript-eslint/no-require-imports': 'off',
'@typescript-eslint/no-unused-vars': ['error', { caughtErrors: 'none' }],
'@typescript-eslint/no-unused-expressions': 'off',
'@typescript-eslint/no-empty-object-type': 'off',
'@eslint-react/hooks-extra/no-direct-set-state-in-use-effect': 'off',
'@eslint-react/web-api/no-leaked-event-listener': 'off',
'@eslint-react/web-api/no-leaked-timeout': 'off',
'@eslint-react/no-unknown-property': 'off',
'@eslint-react/no-nested-component-definitions': 'off',
'@eslint-react/dom/no-dangerously-set-innerhtml': 'off',
'@eslint-react/no-array-index-key': 'off',
'@eslint-react/no-unstable-default-props': 'off',
'@eslint-react/no-unstable-context-value': 'off',
'@eslint-react/hooks-extra/prefer-use-state-lazy-initialization': 'off',
'@eslint-react/hooks-extra/no-unnecessary-use-prefix': 'off',
'@eslint-react/no-children-to-array': 'off'
...[
{
rules: {
'@typescript-eslint/no-require-imports': 'off',
'@typescript-eslint/no-unused-vars': ['error', { caughtErrors: 'none' }],
'@typescript-eslint/no-unused-expressions': 'off',
'@typescript-eslint/no-empty-object-type': 'off',
'@eslint-react/hooks-extra/no-direct-set-state-in-use-effect': 'off',
'@eslint-react/web-api/no-leaked-event-listener': 'off',
'@eslint-react/web-api/no-leaked-timeout': 'off',
'@eslint-react/no-unknown-property': 'off',
'@eslint-react/no-nested-component-definitions': 'off',
'@eslint-react/dom/no-dangerously-set-innerhtml': 'off',
'@eslint-react/no-array-index-key': 'off',
'@eslint-react/no-unstable-default-props': 'off',
'@eslint-react/no-unstable-context-value': 'off',
'@eslint-react/hooks-extra/prefer-use-state-lazy-initialization': 'off',
'@eslint-react/hooks-extra/no-unnecessary-use-prefix': 'off',
'@eslint-react/no-children-to-array': 'off'
}
}
},
],
{
ignores: [
'node_modules/**',
@@ -61,77 +62,7 @@ export default defineConfig([
'.yarn/**',
'.gitignore',
'scripts/cloudflare-worker.js',
'src/main/integration/nutstore/sso/lib/**',
'src/main/integration/cherryai/index.js',
'src/main/integration/nutstore/sso/lib/**',
'src/renderer/src/ui/**',
'packages/**/dist'
'src/main/integration/nutstore/sso/lib/**'
]
},
// turn off oxlint supported rules.
...oxlint.configs['flat/eslint'],
...oxlint.configs['flat/typescript'],
...oxlint.configs['flat/unicorn'],
{
// LoggerService Custom Rules - only apply to src directory
files: ['src/**/*.{ts,tsx,js,jsx}'],
ignores: ['src/**/__tests__/**', 'src/**/__mocks__/**', 'src/**/*.test.*', 'src/preload/**'],
rules: {
'no-restricted-syntax': [
process.env.PRCI ? 'error' : 'warn',
{
selector: 'CallExpression[callee.object.name="console"]',
message:
'❗CherryStudio uses unified LoggerService: 📖 docs/technical/how-to-use-logger-en.md\n❗CherryStudio 使用统一的日志服务:📖 docs/technical/how-to-use-logger-zh.md\n\n'
}
]
}
},
{
files: ['**/*.{ts,tsx,js,jsx}'],
languageOptions: {
ecmaVersion: 2022,
sourceType: 'module'
},
plugins: {
i18n: {
rules: {
'no-template-in-t': {
meta: {
type: 'problem',
docs: {
description: '⚠️不建议在 t() 函数中使用模板字符串,这样会导致渲染结果不可预料',
recommended: true
},
messages: {
noTemplateInT: '⚠️不建议在 t() 函数中使用模板字符串,这样会导致渲染结果不可预料'
}
},
create(context) {
return {
CallExpression(node) {
const { callee, arguments: args } = node
const isTFunction =
(callee.type === 'Identifier' && callee.name === 't') ||
(callee.type === 'MemberExpression' &&
callee.property.type === 'Identifier' &&
callee.property.name === 't')
if (isTFunction && args[0]?.type === 'TemplateLiteral') {
context.report({
node: args[0],
messageId: 'noTemplateInT'
})
}
}
}
}
}
}
}
},
rules: {
'i18n/no-template-in-t': 'warn'
}
},
}
])

View File

@@ -1,14 +1,11 @@
{
"name": "CherryStudio",
"version": "1.7.0-beta.2",
"version": "1.3.11",
"private": true,
"description": "A powerful AI assistant for producer.",
"main": "./out/main/index.js",
"author": "support@cherry-ai.com",
"homepage": "https://github.com/CherryHQ/cherry-studio",
"engines": {
"node": ">=22.0.0"
},
"workspaces": {
"packages": [
"local",
@@ -16,103 +13,50 @@
],
"installConfig": {
"hoistingLimits": [
"packages/database",
"packages/mcp-trace/trace-core",
"packages/mcp-trace/trace-node",
"packages/mcp-trace/trace-web",
"packages/extension-table-plus"
"packages/database"
]
}
},
"scripts": {
"start": "electron-vite preview",
"dev": "dotenv electron-vite dev",
"debug": "electron-vite -- --inspect --sourcemap --remote-debugging-port=9222",
"dev": "electron-vite dev",
"build": "npm run typecheck && electron-vite build",
"build:check": "yarn lint && yarn test",
"build:check": "yarn test && yarn typecheck && yarn check:i18n",
"build:unpack": "dotenv npm run build && electron-builder --dir",
"build:win": "dotenv npm run build && electron-builder --win --x64 --arm64",
"build:win:x64": "dotenv npm run build && electron-builder --win --x64",
"build:win:arm64": "dotenv npm run build && electron-builder --win --arm64",
"build:mac": "dotenv npm run build && electron-builder --mac --arm64 --x64",
"build:mac:arm64": "dotenv npm run build && electron-builder --mac --arm64",
"build:mac:x64": "dotenv npm run build && electron-builder --mac --x64",
"build:linux": "dotenv npm run build && electron-builder --linux --x64 --arm64",
"build:linux:arm64": "dotenv npm run build && electron-builder --linux --arm64",
"build:linux:x64": "dotenv npm run build && electron-builder --linux --x64",
"build:mac": "dotenv electron-vite build && electron-builder --mac --arm64 --x64",
"build:mac:arm64": "dotenv electron-vite build && electron-builder --mac --arm64",
"build:mac:x64": "dotenv electron-vite build && electron-builder --mac --x64",
"build:linux": "dotenv electron-vite build && electron-builder --linux --x64 --arm64",
"build:linux:arm64": "dotenv electron-vite build && electron-builder --linux --arm64",
"build:linux:x64": "dotenv electron-vite build && electron-builder --linux --x64",
"build:npm": "node scripts/build-npm.js",
"release": "node scripts/version.js",
"publish": "yarn build:check && yarn release patch push",
"pulish:artifacts": "cd packages/artifacts && npm publish && cd -",
"agents:generate": "NODE_ENV='development' drizzle-kit generate --config src/main/services/agents/drizzle.config.ts",
"agents:push": "NODE_ENV='development' drizzle-kit push --config src/main/services/agents/drizzle.config.ts",
"agents:studio": "NODE_ENV='development' drizzle-kit studio --config src/main/services/agents/drizzle.config.ts",
"agents:drop": "NODE_ENV='development' drizzle-kit drop --config src/main/services/agents/drizzle.config.ts",
"generate:agents": "yarn workspace @cherry-studio/database agents",
"generate:icons": "electron-icon-builder --input=./build/logo.png --output=build",
"analyze:renderer": "VISUALIZER_RENDERER=true yarn build",
"analyze:main": "VISUALIZER_MAIN=true yarn build",
"typecheck": "concurrently -n \"node,web\" -c \"cyan,magenta\" \"npm run typecheck:node\" \"npm run typecheck:web\"",
"typecheck:node": "tsgo --noEmit -p tsconfig.node.json --composite false",
"typecheck:web": "tsgo --noEmit -p tsconfig.web.json --composite false",
"check:i18n": "dotenv -e .env -- tsx scripts/check-i18n.ts",
"sync:i18n": "dotenv -e .env -- tsx scripts/sync-i18n.ts",
"update:i18n": "dotenv -e .env -- tsx scripts/update-i18n.ts",
"auto:i18n": "dotenv -e .env -- tsx scripts/auto-translate-i18n.ts",
"update:languages": "tsx scripts/update-languages.ts",
"test": "vitest run --silent",
"test:main": "vitest run --project main",
"test:renderer": "vitest run --project renderer",
"test:update": "yarn test:renderer --update",
"test:coverage": "vitest run --coverage --silent",
"test:ui": "vitest --ui",
"test:watch": "vitest",
"test:e2e": "yarn playwright test",
"test:lint": "oxlint --deny-warnings && eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts --cache",
"test:scripts": "vitest scripts",
"lint": "oxlint --fix && eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts --fix --cache && yarn typecheck && yarn check:i18n && yarn format:check",
"format": "biome format --write && biome lint --write",
"format:check": "biome format && biome lint",
"prepare": "git config blame.ignoreRevsFile .git-blame-ignore-revs && husky",
"claude": "dotenv -e .env -- claude",
"release:aicore:alpha": "yarn workspace @cherrystudio/ai-core version prerelease --immediate && yarn workspace @cherrystudio/ai-core npm publish --tag alpha --access public",
"release:aicore:beta": "yarn workspace @cherrystudio/ai-core version prerelease --immediate && yarn workspace @cherrystudio/ai-core npm publish --tag beta --access public",
"release:aicore": "yarn workspace @cherrystudio/ai-core version patch --immediate && yarn workspace @cherrystudio/ai-core npm publish --access public"
"typecheck": "npm run typecheck:node && npm run typecheck:web",
"typecheck:node": "tsc --noEmit -p tsconfig.node.json --composite false",
"typecheck:web": "tsc --noEmit -p tsconfig.web.json --composite false",
"check:i18n": "node scripts/check-i18n.js",
"test": "yarn test:renderer",
"test:coverage": "yarn test:renderer:coverage",
"test:node": "npx -y tsx --test src/**/*.test.ts",
"test:renderer": "vitest run",
"test:renderer:ui": "vitest --ui",
"test:renderer:coverage": "vitest run --coverage",
"test:lint": "eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts",
"format": "prettier --write .",
"lint": "eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts --fix",
"postinstall": "electron-builder install-app-deps",
"prepare": "husky"
},
"dependencies": {
"@anthropic-ai/claude-agent-sdk": "patch:@anthropic-ai/claude-agent-sdk@npm%3A0.1.1#~/.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.1-d937b73fed.patch",
"@libsql/client": "0.14.0",
"@libsql/win32-x64-msvc": "^0.4.7",
"@napi-rs/system-ocr": "patch:@napi-rs/system-ocr@npm%3A1.0.2#~/.yarn/patches/@napi-rs-system-ocr-npm-1.0.2-59e7a78e8b.patch",
"@strongtz/win32-arm64-msvc": "^0.4.7",
"express": "^5.1.0",
"font-list": "^2.0.0",
"graceful-fs": "^4.2.11",
"jsdom": "26.1.0",
"node-stream-zip": "^1.15.0",
"officeparser": "^4.2.0",
"os-proxy-config": "^1.1.2",
"selection-hook": "^1.0.12",
"sharp": "^0.34.3",
"swagger-jsdoc": "^6.2.8",
"swagger-ui-express": "^5.0.1",
"tesseract.js": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
"turndown": "7.2.0"
},
"devDependencies": {
"@agentic/exa": "^7.3.3",
"@agentic/searxng": "^7.3.3",
"@agentic/tavily": "^7.3.3",
"@ai-sdk/amazon-bedrock": "^3.0.35",
"@ai-sdk/google-vertex": "^3.0.40",
"@ai-sdk/mistral": "^2.0.19",
"@ai-sdk/perplexity": "^2.0.13",
"@ant-design/v5-patch-for-react-19": "^1.0.3",
"@anthropic-ai/sdk": "^0.41.0",
"@anthropic-ai/vertex-sdk": "patch:@anthropic-ai/vertex-sdk@npm%3A0.11.4#~/.yarn/patches/@anthropic-ai-vertex-sdk-npm-0.11.4-c19cb41edb.patch",
"@aws-sdk/client-bedrock": "^3.840.0",
"@aws-sdk/client-bedrock-runtime": "^3.840.0",
"@aws-sdk/client-s3": "^3.840.0",
"@biomejs/biome": "2.2.4",
"@cherrystudio/ai-core": "workspace:^1.0.0-alpha.18",
"@cherrystudio/embedjs": "^0.1.31",
"@cherrystudio/embedjs-libsql": "^0.1.31",
"@cherrystudio/embedjs-loader-csv": "^0.1.31",
@@ -123,284 +67,168 @@
"@cherrystudio/embedjs-loader-sitemap": "^0.1.31",
"@cherrystudio/embedjs-loader-web": "^0.1.31",
"@cherrystudio/embedjs-loader-xml": "^0.1.31",
"@cherrystudio/embedjs-ollama": "^0.1.31",
"@cherrystudio/embedjs-openai": "^0.1.31",
"@cherrystudio/extension-table-plus": "workspace:^",
"@cherrystudio/openai": "^6.5.0",
"@dnd-kit/core": "^6.3.1",
"@dnd-kit/modifiers": "^9.0.0",
"@dnd-kit/sortable": "^10.0.0",
"@dnd-kit/utilities": "^3.2.2",
"@electron-toolkit/utils": "^3.0.0",
"@electron/notarize": "^2.5.0",
"@langchain/community": "^0.3.36",
"@strongtz/win32-arm64-msvc": "^0.4.7",
"@tanstack/react-query": "^5.27.0",
"@types/react-infinite-scroll-component": "^5.0.0",
"archiver": "^7.0.1",
"async-mutex": "^0.5.0",
"color": "^5.0.0",
"diff": "^7.0.0",
"docx": "^9.0.2",
"electron-log": "^5.1.5",
"electron-store": "^8.2.0",
"electron-updater": "6.6.4",
"electron-window-state": "^5.0.3",
"epub": "patch:epub@npm%3A1.3.0#~/.yarn/patches/epub-npm-1.3.0-8325494ffe.patch",
"fast-diff": "^1.3.0",
"fast-xml-parser": "^5.2.0",
"fetch-socks": "^1.3.2",
"fs-extra": "^11.2.0",
"got-scraping": "^4.1.1",
"jsdom": "^26.0.0",
"markdown-it": "^14.1.0",
"node-stream-zip": "^1.15.0",
"officeparser": "^4.1.1",
"os-proxy-config": "^1.1.2",
"proxy-agent": "^6.5.0",
"tar": "^7.4.3",
"turndown": "^7.2.0",
"turndown-plugin-gfm": "^1.0.2",
"webdav": "^5.8.0",
"ws": "^8.18.1",
"zipread": "^1.3.3"
},
"devDependencies": {
"@agentic/exa": "^7.3.3",
"@agentic/searxng": "^7.3.3",
"@agentic/tavily": "^7.3.3",
"@ant-design/v5-patch-for-react-19": "^1.0.3",
"@anthropic-ai/sdk": "^0.41.0",
"@electron-toolkit/eslint-config-prettier": "^3.0.0",
"@electron-toolkit/eslint-config-ts": "^3.0.0",
"@electron-toolkit/preload": "^3.0.0",
"@electron-toolkit/tsconfig": "^1.0.1",
"@electron-toolkit/utils": "^3.0.0",
"@electron/notarize": "^2.5.0",
"@emotion/is-prop-valid": "^1.3.1",
"@eslint-react/eslint-plugin": "^1.36.1",
"@eslint/js": "^9.22.0",
"@google/genai": "patch:@google/genai@npm%3A1.0.1#~/.yarn/patches/@google-genai-npm-1.0.1-e26f0f9af7.patch",
"@hello-pangea/dnd": "^18.0.1",
"@heroui/react": "^2.8.3",
"@google/genai": "^0.13.0",
"@hello-pangea/dnd": "^16.6.0",
"@kangfenmao/keyv-storage": "^0.1.0",
"@langchain/community": "^0.3.50",
"@mistralai/mistralai": "^1.7.5",
"@modelcontextprotocol/sdk": "^1.17.5",
"@modelcontextprotocol/sdk": "^1.11.4",
"@mozilla/readability": "^0.6.0",
"@notionhq/client": "^2.2.15",
"@openrouter/ai-sdk-provider": "^1.1.2",
"@opentelemetry/api": "^1.9.0",
"@opentelemetry/core": "2.0.0",
"@opentelemetry/exporter-trace-otlp-http": "^0.200.0",
"@opentelemetry/sdk-trace-base": "^2.0.0",
"@opentelemetry/sdk-trace-node": "^2.0.0",
"@opentelemetry/sdk-trace-web": "^2.0.0",
"@opeoginni/github-copilot-openai-compatible": "0.1.19",
"@playwright/test": "^1.52.0",
"@radix-ui/react-context-menu": "^2.2.16",
"@reduxjs/toolkit": "^2.2.5",
"@shikijs/markdown-it": "^3.12.0",
"@swc/plugin-styled-components": "^8.0.4",
"@tailwindcss/vite": "^4.1.13",
"@tanstack/react-query": "^5.85.5",
"@tanstack/react-virtual": "^3.13.12",
"@testing-library/dom": "^10.4.0",
"@testing-library/jest-dom": "^6.6.3",
"@testing-library/react": "^16.3.0",
"@testing-library/user-event": "^14.6.1",
"@tiptap/extension-collaboration": "^3.2.0",
"@tiptap/extension-drag-handle": "patch:@tiptap/extension-drag-handle@npm%3A3.2.0#~/.yarn/patches/@tiptap-extension-drag-handle-npm-3.2.0-5a9ebff7c9.patch",
"@tiptap/extension-drag-handle-react": "^3.2.0",
"@tiptap/extension-image": "^3.2.0",
"@tiptap/extension-list": "^3.2.0",
"@tiptap/extension-mathematics": "^3.2.0",
"@tiptap/extension-mention": "^3.2.0",
"@tiptap/extension-node-range": "^3.2.0",
"@tiptap/extension-table-of-contents": "^3.2.0",
"@tiptap/extension-typography": "^3.2.0",
"@tiptap/extension-underline": "^3.2.0",
"@tiptap/pm": "^3.2.0",
"@tiptap/react": "^3.2.0",
"@tiptap/starter-kit": "^3.2.0",
"@tiptap/suggestion": "^3.2.0",
"@tiptap/y-tiptap": "^3.0.0",
"@truto/turndown-plugin-gfm": "^1.0.2",
"@shikijs/markdown-it": "^3.4.2",
"@swc/plugin-styled-components": "^7.1.5",
"@tryfabric/martian": "^1.2.4",
"@types/cli-progress": "^3",
"@types/content-type": "^1.1.9",
"@types/cors": "^2.8.19",
"@types/diff": "^7",
"@types/express": "^5",
"@types/fs-extra": "^11",
"@types/he": "^1",
"@types/html-to-text": "^9",
"@types/lodash": "^4.17.5",
"@types/markdown-it": "^14",
"@types/md5": "^2.3.5",
"@types/mime-types": "^3",
"@types/node": "^22.17.1",
"@types/node": "^18.19.9",
"@types/pako": "^1.0.2",
"@types/react": "^19.0.12",
"@types/react-dom": "^19.0.4",
"@types/react-infinite-scroll-component": "^5.0.0",
"@types/react-transition-group": "^4.4.12",
"@types/react-window": "^1",
"@types/swagger-jsdoc": "^6",
"@types/swagger-ui-express": "^4.1.8",
"@types/tinycolor2": "^1",
"@types/turndown": "^5.0.5",
"@types/uuid": "^10.0.0",
"@types/word-extractor": "^1",
"@typescript/native-preview": "latest",
"@uiw/codemirror-extensions-langs": "^4.25.1",
"@uiw/codemirror-themes-all": "^4.25.1",
"@uiw/react-codemirror": "^4.25.1",
"@types/ws": "^8",
"@uiw/codemirror-extensions-langs": "^4.23.12",
"@uiw/codemirror-themes-all": "^4.23.12",
"@uiw/react-codemirror": "^4.23.12",
"@vitejs/plugin-react-swc": "^3.9.0",
"@vitest/browser": "^3.2.4",
"@vitest/coverage-v8": "^3.2.4",
"@vitest/ui": "^3.2.4",
"@vitest/web-worker": "^3.2.4",
"@viz-js/lang-dot": "^1.0.5",
"@viz-js/viz": "^3.14.0",
"@vitest/ui": "^3.1.1",
"@vitest/web-worker": "^3.1.3",
"@xyflow/react": "^12.4.4",
"ai": "^5.0.68",
"antd": "patch:antd@npm%3A5.27.0#~/.yarn/patches/antd-npm-5.27.0-aa91c36546.patch",
"archiver": "^7.0.1",
"async-mutex": "^0.5.0",
"antd": "^5.22.5",
"axios": "^1.7.3",
"browser-image-compression": "^2.0.2",
"chardet": "^2.1.0",
"check-disk-space": "3.4.0",
"cheerio": "^1.1.2",
"chokidar": "^4.0.3",
"cli-progress": "^3.12.0",
"clsx": "^2.1.1",
"code-inspector-plugin": "^0.20.14",
"color": "^5.0.0",
"concurrently": "^9.2.1",
"country-flag-emoji-polyfill": "0.1.8",
"dayjs": "^1.11.11",
"dexie": "^4.0.8",
"dexie-react-hooks": "^1.1.7",
"diff": "^8.0.2",
"docx": "^9.0.2",
"dompurify": "^3.2.6",
"dotenv-cli": "^7.4.2",
"drizzle-kit": "^0.31.4",
"drizzle-orm": "^0.44.5",
"electron": "38.4.0",
"electron": "35.4.0",
"electron-builder": "26.0.15",
"electron-devtools-installer": "^3.2.0",
"electron-reload": "^2.0.0-alpha.1",
"electron-store": "^8.2.0",
"electron-updater": "6.6.4",
"electron-vite": "4.0.1",
"electron-window-state": "^5.0.3",
"electron-icon-builder": "^2.0.1",
"electron-vite": "^3.1.0",
"emittery": "^1.0.3",
"emoji-picker-element": "^1.22.1",
"epub": "patch:epub@npm%3A1.3.0#~/.yarn/patches/epub-npm-1.3.0-8325494ffe.patch",
"eslint": "^9.22.0",
"eslint-plugin-import-zod": "^1.2.0",
"eslint-plugin-oxlint": "^1.15.0",
"eslint-plugin-react-hooks": "^5.2.0",
"eslint-plugin-simple-import-sort": "^12.1.1",
"eslint-plugin-unused-imports": "^4.1.4",
"express-validator": "^7.2.1",
"fast-diff": "^1.3.0",
"fast-xml-parser": "^5.2.0",
"fetch-socks": "1.3.2",
"framer-motion": "^12.23.12",
"franc-min": "^6.2.0",
"fs-extra": "^11.2.0",
"google-auth-library": "^9.15.1",
"he": "^1.2.0",
"html-tags": "^5.1.0",
"html-to-image": "^1.11.13",
"html-to-text": "^9.0.5",
"htmlparser2": "^10.0.0",
"husky": "^9.1.7",
"i18next": "^23.11.5",
"iconv-lite": "^0.6.3",
"ipaddr.js": "^2.2.0",
"isbinaryfile": "5.0.4",
"jaison": "^2.0.2",
"jest-styled-components": "^7.2.0",
"linguist-languages": "^8.1.0",
"lint-staged": "^15.5.0",
"lodash": "^4.17.21",
"lru-cache": "^11.1.0",
"lucide-react": "^0.525.0",
"macos-release": "^3.4.0",
"markdown-it": "^14.1.0",
"mermaid": "^11.10.1",
"lucide-react": "^0.487.0",
"mermaid": "^11.6.0",
"mime": "^4.0.4",
"mime-types": "^3.0.1",
"motion": "^12.10.5",
"notion-helper": "^1.3.22",
"npx-scope-finder": "^1.2.0",
"oxlint": "^1.22.0",
"oxlint-tsgolint": "^0.2.0",
"openai": "patch:openai@npm%3A4.96.0#~/.yarn/patches/openai-npm-4.96.0-0665b05cb9.patch",
"p-queue": "^8.1.0",
"pdf-lib": "^1.17.1",
"pdf-parse": "^1.1.1",
"playwright": "^1.55.1",
"proxy-agent": "^6.5.0",
"react": "^19.2.0",
"react-dom": "^19.2.0",
"react-error-boundary": "^6.0.0",
"prettier": "^3.5.3",
"rc-virtual-list": "^3.18.6",
"react": "^19.0.0",
"react-dom": "^19.0.0",
"react-hotkeys-hook": "^4.6.1",
"react-i18next": "^14.1.2",
"react-infinite-scroll-component": "^6.1.0",
"react-json-view": "^1.21.3",
"react-markdown": "^10.1.0",
"react-player": "^3.3.1",
"react-markdown": "^9.0.1",
"react-redux": "^9.1.2",
"react-router": "6",
"react-router-dom": "6",
"react-spinners": "^0.14.1",
"react-transition-group": "^4.4.5",
"react-window": "^1.8.11",
"redux": "^5.0.1",
"redux-persist": "^6.0.0",
"reflect-metadata": "0.2.2",
"rehype-katex": "^7.0.1",
"rehype-mathjax": "^7.1.0",
"rehype-parse": "^9.0.1",
"rehype-mathjax": "^7.0.0",
"rehype-raw": "^7.0.0",
"rehype-stringify": "^10.0.1",
"remark-cjk-friendly": "^1.2.0",
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@@ -1,514 +0,0 @@
# AI Core 基于 Vercel AI SDK 的技术架构
## 1. 架构设计理念
### 1.1 设计目标
- **简化分层**`models`(模型层)→ `runtime`(运行时层),清晰的职责分离
- **统一接口**:使用 Vercel AI SDK 统一不同 AI Provider 的接口差异
- **动态导入**:通过动态导入实现按需加载,减少打包体积
- **最小包装**:直接使用 AI SDK 的类型和接口,避免重复定义
- **插件系统**:基于钩子的通用插件架构,支持请求全生命周期扩展
- **类型安全**:利用 TypeScript 和 AI SDK 的类型系统确保类型安全
- **轻量级**:专注核心功能,保持包的轻量和高效
- **包级独立**:作为独立包管理,便于复用和维护
- **Agent就绪**:为将来集成 OpenAI Agents SDK 预留扩展空间
### 1.2 核心优势
- **标准化**AI SDK 提供统一的模型接口,减少适配工作
- **简化设计**函数式API避免过度抽象
- **更好的开发体验**:完整的 TypeScript 支持和丰富的生态系统
- **性能优化**AI SDK 内置优化和最佳实践
- **模块化设计**:独立包结构,支持跨项目复用
- **可扩展插件**:通用的流转换和参数处理插件系统
- **面向未来**:为 OpenAI Agents SDK 集成做好准备
## 2. 整体架构图
```mermaid
graph TD
subgraph "用户应用 (如 Cherry Studio)"
UI["用户界面"]
Components["应用组件"]
end
subgraph "packages/aiCore (AI Core 包)"
subgraph "Runtime Layer (运行时层)"
RuntimeExecutor["RuntimeExecutor (运行时执行器)"]
PluginEngine["PluginEngine (插件引擎)"]
RuntimeAPI["Runtime API (便捷函数)"]
end
subgraph "Models Layer (模型层)"
ModelFactory["createModel() (模型工厂)"]
ProviderCreator["ProviderCreator (提供商创建器)"]
end
subgraph "Core Systems (核心系统)"
subgraph "Plugins (插件)"
PluginManager["PluginManager (插件管理)"]
BuiltInPlugins["Built-in Plugins (内置插件)"]
StreamTransforms["Stream Transforms (流转换)"]
end
subgraph "Middleware (中间件)"
MiddlewareWrapper["wrapModelWithMiddlewares() (中间件包装)"]
end
subgraph "Providers (提供商)"
Registry["Provider Registry (注册表)"]
Factory["Provider Factory (工厂)"]
end
end
end
subgraph "Vercel AI SDK"
AICore["ai (核心库)"]
OpenAI["@ai-sdk/openai"]
Anthropic["@ai-sdk/anthropic"]
Google["@ai-sdk/google"]
XAI["@ai-sdk/xai"]
Others["其他 19+ Providers"]
end
subgraph "Future: OpenAI Agents SDK"
AgentSDK["@openai/agents (未来集成)"]
AgentExtensions["Agent Extensions (预留)"]
end
UI --> RuntimeAPI
Components --> RuntimeExecutor
RuntimeAPI --> RuntimeExecutor
RuntimeExecutor --> PluginEngine
RuntimeExecutor --> ModelFactory
PluginEngine --> PluginManager
ModelFactory --> ProviderCreator
ModelFactory --> MiddlewareWrapper
ProviderCreator --> Registry
Registry --> Factory
Factory --> OpenAI
Factory --> Anthropic
Factory --> Google
Factory --> XAI
Factory --> Others
RuntimeExecutor --> AICore
AICore --> streamText
AICore --> generateText
AICore --> streamObject
AICore --> generateObject
PluginManager --> StreamTransforms
PluginManager --> BuiltInPlugins
%% 未来集成路径
RuntimeExecutor -.-> AgentSDK
AgentSDK -.-> AgentExtensions
```
## 3. 包结构设计
### 3.1 新架构文件结构
```
packages/aiCore/
├── src/
│ ├── core/ # 核心层 - 内部实现
│ │ ├── models/ # 模型层 - 模型创建和配置
│ │ │ ├── factory.ts # 模型工厂函数 ✅
│ │ │ ├── ModelCreator.ts # 模型创建器 ✅
│ │ │ ├── ConfigManager.ts # 配置管理器 ✅
│ │ │ ├── types.ts # 模型类型定义 ✅
│ │ │ └── index.ts # 模型层导出 ✅
│ │ ├── runtime/ # 运行时层 - 执行和用户API
│ │ │ ├── executor.ts # 运行时执行器 ✅
│ │ │ ├── pluginEngine.ts # 插件引擎 ✅
│ │ │ ├── types.ts # 运行时类型定义 ✅
│ │ │ └── index.ts # 运行时导出 ✅
│ │ ├── middleware/ # 中间件系统
│ │ │ ├── wrapper.ts # 模型包装器 ✅
│ │ │ ├── manager.ts # 中间件管理器 ✅
│ │ │ ├── types.ts # 中间件类型 ✅
│ │ │ └── index.ts # 中间件导出 ✅
│ │ ├── plugins/ # 插件系统
│ │ │ ├── types.ts # 插件类型定义 ✅
│ │ │ ├── manager.ts # 插件管理器 ✅
│ │ │ ├── built-in/ # 内置插件 ✅
│ │ │ │ ├── logging.ts # 日志插件 ✅
│ │ │ │ ├── webSearchPlugin/ # 网络搜索插件 ✅
│ │ │ │ ├── toolUsePlugin/ # 工具使用插件 ✅
│ │ │ │ └── index.ts # 内置插件导出 ✅
│ │ │ ├── README.md # 插件文档 ✅
│ │ │ └── index.ts # 插件导出 ✅
│ │ ├── providers/ # 提供商管理
│ │ │ ├── registry.ts # 提供商注册表 ✅
│ │ │ ├── factory.ts # 提供商工厂 ✅
│ │ │ ├── creator.ts # 提供商创建器 ✅
│ │ │ ├── types.ts # 提供商类型 ✅
│ │ │ ├── utils.ts # 工具函数 ✅
│ │ │ └── index.ts # 提供商导出 ✅
│ │ ├── options/ # 配置选项
│ │ │ ├── factory.ts # 选项工厂 ✅
│ │ │ ├── types.ts # 选项类型 ✅
│ │ │ ├── xai.ts # xAI 选项 ✅
│ │ │ ├── openrouter.ts # OpenRouter 选项 ✅
│ │ │ ├── examples.ts # 示例配置 ✅
│ │ │ └── index.ts # 选项导出 ✅
│ │ └── index.ts # 核心层导出 ✅
│ ├── types.ts # 全局类型定义 ✅
│ └── index.ts # 包主入口文件 ✅
├── package.json # 包配置文件 ✅
├── tsconfig.json # TypeScript 配置 ✅
├── README.md # 包说明文档 ✅
└── AI_SDK_ARCHITECTURE.md # 本文档 ✅
```
## 4. 架构分层详解
### 4.1 Models Layer (模型层)
**职责**:统一的模型创建和配置管理
**核心文件**
- `factory.ts`: 模型工厂函数 (`createModel`, `createModels`)
- `ProviderCreator.ts`: 底层提供商创建和模型实例化
- `types.ts`: 模型配置类型定义
**设计特点**
- 函数式设计,避免不必要的类抽象
- 统一的模型配置接口
- 自动处理中间件应用
- 支持批量模型创建
**核心API**
```typescript
// 模型配置接口
export interface ModelConfig {
providerId: ProviderId
modelId: string
options: ProviderSettingsMap[ProviderId]
middlewares?: LanguageModelV1Middleware[]
}
// 核心模型创建函数
export async function createModel(config: ModelConfig): Promise<LanguageModel>
export async function createModels(configs: ModelConfig[]): Promise<LanguageModel[]>
```
### 4.2 Runtime Layer (运行时层)
**职责**运行时执行器和用户面向的API接口
**核心组件**
- `executor.ts`: 运行时执行器类
- `plugin-engine.ts`: 插件引擎原PluginEnabledAiClient
- `index.ts`: 便捷函数和工厂方法
**设计特点**
- 提供三种使用方式:类实例、静态工厂、函数式调用
- 自动集成模型创建和插件处理
- 完整的类型安全支持
- 为 OpenAI Agents SDK 预留扩展接口
**核心API**
```typescript
// 运行时执行器
export class RuntimeExecutor<T extends ProviderId = ProviderId> {
static create<T extends ProviderId>(
providerId: T,
options: ProviderSettingsMap[T],
plugins?: AiPlugin[]
): RuntimeExecutor<T>
async streamText(modelId: string, params: StreamTextParams): Promise<StreamTextResult>
async generateText(modelId: string, params: GenerateTextParams): Promise<GenerateTextResult>
async streamObject(modelId: string, params: StreamObjectParams): Promise<StreamObjectResult>
async generateObject(modelId: string, params: GenerateObjectParams): Promise<GenerateObjectResult>
}
// 便捷函数式API
export async function streamText<T extends ProviderId>(
providerId: T,
options: ProviderSettingsMap[T],
modelId: string,
params: StreamTextParams,
plugins?: AiPlugin[]
): Promise<StreamTextResult>
```
### 4.3 Plugin System (插件系统)
**职责**:可扩展的插件架构
**核心组件**
- `PluginManager`: 插件生命周期管理
- `built-in/`: 内置插件集合
- 流转换收集和应用
**设计特点**
- 借鉴 Rollup 的钩子分类设计
- 支持流转换 (`experimental_transform`)
- 内置常用插件(日志、计数等)
- 完整的生命周期钩子
**插件接口**
```typescript
export interface AiPlugin {
name: string
enforce?: 'pre' | 'post'
// 【First】首个钩子 - 只执行第一个返回值的插件
resolveModel?: (modelId: string, context: AiRequestContext) => string | null | Promise<string | null>
loadTemplate?: (templateName: string, context: AiRequestContext) => any | null | Promise<any | null>
// 【Sequential】串行钩子 - 链式执行,支持数据转换
transformParams?: (params: any, context: AiRequestContext) => any | Promise<any>
transformResult?: (result: any, context: AiRequestContext) => any | Promise<any>
// 【Parallel】并行钩子 - 不依赖顺序,用于副作用
onRequestStart?: (context: AiRequestContext) => void | Promise<void>
onRequestEnd?: (context: AiRequestContext, result: any) => void | Promise<void>
onError?: (error: Error, context: AiRequestContext) => void | Promise<void>
// 【Stream】流处理
transformStream?: () => TransformStream
}
```
### 4.4 Middleware System (中间件系统)
**职责**AI SDK原生中间件支持
**核心组件**
- `ModelWrapper.ts`: 模型包装函数
**设计哲学**
- 直接使用AI SDK的 `wrapLanguageModel`
- 与插件系统分离,职责明确
- 函数式设计,简化使用
```typescript
export function wrapModelWithMiddlewares(model: LanguageModel, middlewares: LanguageModelV1Middleware[]): LanguageModel
```
### 4.5 Provider System (提供商系统)
**职责**AI Provider注册表和动态导入
**核心组件**
- `registry.ts`: 19+ Provider配置和类型
- `factory.ts`: Provider配置工厂
**支持的Providers**
- OpenAI, Anthropic, Google, XAI
- Azure OpenAI, Amazon Bedrock, Google Vertex
- Groq, Together.ai, Fireworks, DeepSeek
- 等19+ AI SDK官方支持的providers
## 5. 使用方式
### 5.1 函数式调用 (推荐 - 简单场景)
```typescript
import { streamText, generateText } from '@cherrystudio/ai-core/runtime'
// 直接函数调用
const stream = await streamText(
'anthropic',
{ apiKey: 'your-api-key' },
'claude-3',
{ messages: [{ role: 'user', content: 'Hello!' }] },
[loggingPlugin]
)
```
### 5.2 执行器实例 (推荐 - 复杂场景)
```typescript
import { createExecutor } from '@cherrystudio/ai-core/runtime'
// 创建可复用的执行器
const executor = createExecutor('openai', { apiKey: 'your-api-key' }, [plugin1, plugin2])
// 多次使用
const stream = await executor.streamText('gpt-4', {
messages: [{ role: 'user', content: 'Hello!' }]
})
const result = await executor.generateText('gpt-4', {
messages: [{ role: 'user', content: 'How are you?' }]
})
```
### 5.3 静态工厂方法
```typescript
import { RuntimeExecutor } from '@cherrystudio/ai-core/runtime'
// 静态创建
const executor = RuntimeExecutor.create('anthropic', { apiKey: 'your-api-key' })
await executor.streamText('claude-3', { messages: [...] })
```
### 5.4 直接模型创建 (高级用法)
```typescript
import { createModel } from '@cherrystudio/ai-core/models'
import { streamText } from 'ai'
// 直接创建模型使用
const model = await createModel({
providerId: 'openai',
modelId: 'gpt-4',
options: { apiKey: 'your-api-key' },
middlewares: [middleware1, middleware2]
})
// 直接使用 AI SDK
const result = await streamText({ model, messages: [...] })
```
## 6. 为 OpenAI Agents SDK 预留的设计
### 6.1 架构兼容性
当前架构完全兼容 OpenAI Agents SDK 的集成需求:
```typescript
// 当前的模型创建
const model = await createModel({
providerId: 'anthropic',
modelId: 'claude-3',
options: { apiKey: 'xxx' }
})
// 将来可以直接用于 OpenAI Agents SDK
import { Agent, run } from '@openai/agents'
const agent = new Agent({
model, // ✅ 直接兼容 LanguageModel 接口
name: 'Assistant',
instructions: '...',
tools: [tool1, tool2]
})
const result = await run(agent, 'user input')
```
### 6.2 预留的扩展点
1. **runtime/agents/** 目录预留
2. **AgentExecutor** 类预留
3. **Agent工具转换插件** 预留
4. **多Agent编排** 预留
### 6.3 未来架构扩展
```
packages/aiCore/src/core/
├── runtime/
│ ├── agents/ # 🚀 未来添加
│ │ ├── AgentExecutor.ts
│ │ ├── WorkflowManager.ts
│ │ └── ConversationManager.ts
│ ├── executor.ts
│ └── index.ts
```
## 7. 架构优势
### 7.1 简化设计
- **移除过度抽象**删除了orchestration层和creation层的复杂包装
- **函数式优先**models层使用函数而非类
- **直接明了**runtime层直接提供用户API
### 7.2 职责清晰
- **Models**: 专注模型创建和配置
- **Runtime**: 专注执行和用户API
- **Plugins**: 专注扩展功能
- **Providers**: 专注AI Provider管理
### 7.3 类型安全
- 完整的 TypeScript 支持
- AI SDK 类型的直接复用
- 避免类型重复定义
### 7.4 灵活使用
- 三种使用模式满足不同需求
- 从简单函数调用到复杂执行器
- 支持直接AI SDK使用
### 7.5 面向未来
- 为 OpenAI Agents SDK 集成做好准备
- 清晰的扩展点和架构边界
- 模块化设计便于功能添加
## 8. 技术决策记录
### 8.1 为什么选择简化的两层架构?
- **职责分离**models专注创建runtime专注执行
- **模块化**:每层都有清晰的边界和职责
- **扩展性**为Agent功能预留了清晰的扩展空间
### 8.2 为什么选择函数式设计?
- **简洁性**:避免不必要的类设计
- **性能**:减少对象创建开销
- **易用性**:函数调用更直观
### 8.3 为什么分离插件和中间件?
- **职责明确**: 插件处理应用特定需求
- **原生支持**: 中间件使用AI SDK原生功能
- **灵活性**: 两套系统可以独立演进
## 9. 总结
AI Core架构实现了
### 9.1 核心特点
-**简化架构**: 2层核心架构职责清晰
-**函数式设计**: models层完全函数化
-**类型安全**: 统一的类型定义和AI SDK类型复用
-**插件扩展**: 强大的插件系统
-**多种使用方式**: 满足不同复杂度需求
-**Agent就绪**: 为OpenAI Agents SDK集成做好准备
### 9.2 核心价值
- **统一接口**: 一套API支持19+ AI providers
- **灵活使用**: 函数式、实例式、静态工厂式
- **强类型**: 完整的TypeScript支持
- **可扩展**: 插件和中间件双重扩展能力
- **高性能**: 最小化包装直接使用AI SDK
- **面向未来**: Agent SDK集成架构就绪
### 9.3 未来发展
这个架构提供了:
- **优秀的开发体验**: 简洁的API和清晰的使用模式
- **强大的扩展能力**: 为Agent功能预留了完整的架构空间
- **良好的维护性**: 职责分离明确,代码易于维护
- **广泛的适用性**: 既适合简单调用也适合复杂应用

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# @cherrystudio/ai-core
Cherry Studio AI Core 是一个基于 Vercel AI SDK 的统一 AI Provider 接口包,为 AI 应用提供强大的抽象层和插件化架构。
## ✨ 核心亮点
### 🏗️ 优雅的架构设计
- **简化分层**`models`(模型层)→ `runtime`(运行时层),清晰的职责分离
- **函数式优先**:避免过度抽象,提供简洁直观的 API
- **类型安全**:完整的 TypeScript 支持,直接复用 AI SDK 类型系统
- **最小包装**:直接使用 AI SDK 的接口,避免重复定义和性能损耗
### 🔌 强大的插件系统
- **生命周期钩子**:支持请求全生命周期的扩展点
- **流转换支持**:基于 AI SDK 的 `experimental_transform` 实现流处理
- **插件分类**First、Sequential、Parallel 三种钩子类型,满足不同场景
- **内置插件**webSearch、logging、toolUse 等开箱即用的功能
### 🌐 统一多 Provider 接口
- **扩展注册**:支持自定义 Provider 注册,无限扩展能力
- **配置统一**:统一的配置接口,简化多 Provider 管理
### 🚀 多种使用方式
- **函数式调用**:适合简单场景的直接函数调用
- **执行器实例**:适合复杂场景的可复用执行器
- **静态工厂**:便捷的静态创建方法
- **原生兼容**:完全兼容 AI SDK 原生 Provider Registry
### 🔮 面向未来
- **Agent 就绪**:为 OpenAI Agents SDK 集成预留架构空间
- **模块化设计**:独立包结构,支持跨项目复用
- **渐进式迁移**:可以逐步从现有 AI SDK 代码迁移
## 特性
- 🚀 统一的 AI Provider 接口
- 🔄 动态导入支持
- 🛠️ TypeScript 支持
- 📦 强大的插件系统
- 🌍 内置webSearch(Openai,Google,Anthropic,xAI)
- 🎯 多种使用模式(函数式/实例式/静态工厂)
- 🔌 可扩展的 Provider 注册系统
- 🧩 完整的中间件支持
- 📊 插件统计和调试功能
## 支持的 Providers
基于 [AI SDK 官方支持的 providers](https://ai-sdk.dev/providers/ai-sdk-providers)
**核心 Providers内置支持:**
- OpenAI
- Anthropic
- Google Generative AI
- OpenAI-Compatible
- xAI (Grok)
- Azure OpenAI
- DeepSeek
**扩展 Providers通过注册API支持:**
- Google Vertex AI
- ...
- 自定义 Provider
## 安装
```bash
npm install @cherrystudio/ai-core ai
```
### React Native
如果你在 React Native 项目中使用此包,需要在 `metro.config.js` 中添加以下配置:
```javascript
// metro.config.js
const { getDefaultConfig } = require('expo/metro-config')
const config = getDefaultConfig(__dirname)
// 添加对 @cherrystudio/ai-core 的支持
config.resolver.resolverMainFields = ['react-native', 'browser', 'main']
config.resolver.platforms = ['ios', 'android', 'native', 'web']
module.exports = config
```
还需要安装你要使用的 AI SDK provider:
```bash
npm install @ai-sdk/openai @ai-sdk/anthropic @ai-sdk/google
```
## 使用示例
### 基础用法
```typescript
import { AiCore } from '@cherrystudio/ai-core'
// 创建 OpenAI executor
const executor = AiCore.create('openai', {
apiKey: 'your-api-key'
})
// 流式生成
const result = await executor.streamText('gpt-4', {
messages: [{ role: 'user', content: 'Hello!' }]
})
// 非流式生成
const response = await executor.generateText('gpt-4', {
messages: [{ role: 'user', content: 'Hello!' }]
})
```
### 便捷函数
```typescript
import { createOpenAIExecutor } from '@cherrystudio/ai-core'
// 快速创建 OpenAI executor
const executor = createOpenAIExecutor({
apiKey: 'your-api-key'
})
// 使用 executor
const result = await executor.streamText('gpt-4', {
messages: [{ role: 'user', content: 'Hello!' }]
})
```
### 多 Provider 支持
```typescript
import { AiCore } from '@cherrystudio/ai-core'
// 支持多种 AI providers
const openaiExecutor = AiCore.create('openai', { apiKey: 'openai-key' })
const anthropicExecutor = AiCore.create('anthropic', { apiKey: 'anthropic-key' })
const googleExecutor = AiCore.create('google', { apiKey: 'google-key' })
const xaiExecutor = AiCore.create('xai', { apiKey: 'xai-key' })
```
### 扩展 Provider 注册
对于非内置的 providers可以通过注册 API 扩展支持:
```typescript
import { registerProvider, AiCore } from '@cherrystudio/ai-core'
// 方式一:导入并注册第三方 provider
import { createGroq } from '@ai-sdk/groq'
registerProvider({
id: 'groq',
name: 'Groq',
creator: createGroq,
supportsImageGeneration: false
})
// 现在可以使用 Groq
const groqExecutor = AiCore.create('groq', { apiKey: 'groq-key' })
// 方式二:动态导入方式注册
registerProvider({
id: 'mistral',
name: 'Mistral AI',
import: () => import('@ai-sdk/mistral'),
creatorFunctionName: 'createMistral'
})
const mistralExecutor = AiCore.create('mistral', { apiKey: 'mistral-key' })
```
## 🔌 插件系统
AI Core 提供了强大的插件系统,支持请求全生命周期的扩展。
### 内置插件
#### webSearchPlugin - 网络搜索插件
为不同 AI Provider 提供统一的网络搜索能力:
```typescript
import { webSearchPlugin } from '@cherrystudio/ai-core/built-in/plugins'
const executor = AiCore.create('openai', { apiKey: 'your-key' }, [
webSearchPlugin({
openai: {
/* OpenAI 搜索配置 */
},
anthropic: { maxUses: 5 },
google: {
/* Google 搜索配置 */
},
xai: {
mode: 'on',
returnCitations: true,
maxSearchResults: 5,
sources: [{ type: 'web' }, { type: 'x' }, { type: 'news' }]
}
})
])
```
#### loggingPlugin - 日志插件
提供详细的请求日志记录:
```typescript
import { createLoggingPlugin } from '@cherrystudio/ai-core/built-in/plugins'
const executor = AiCore.create('openai', { apiKey: 'your-key' }, [
createLoggingPlugin({
logLevel: 'info',
includeParams: true,
includeResult: false
})
])
```
#### promptToolUsePlugin - 提示工具使用插件
为不支持原生 Function Call 的模型提供 prompt 方式的工具调用:
```typescript
import { createPromptToolUsePlugin } from '@cherrystudio/ai-core/built-in/plugins'
// 对于不支持 function call 的模型
const executor = AiCore.create(
'providerId',
{
apiKey: 'your-key',
baseURL: 'https://your-model-endpoint'
},
[
createPromptToolUsePlugin({
enabled: true,
// 可选:自定义系统提示符构建
buildSystemPrompt: (userPrompt, tools) => {
return `${userPrompt}\n\nAvailable tools: ${Object.keys(tools).join(', ')}`
}
})
]
)
```
### 自定义插件
创建自定义插件非常简单:
```typescript
import { definePlugin } from '@cherrystudio/ai-core'
const customPlugin = definePlugin({
name: 'custom-plugin',
enforce: 'pre', // 'pre' | 'post' | undefined
// 在请求开始时记录日志
onRequestStart: async (context) => {
console.log(`Starting request for model: ${context.modelId}`)
},
// 转换请求参数
transformParams: async (params, context) => {
// 添加自定义系统消息
if (params.messages) {
params.messages.unshift({
role: 'system',
content: 'You are a helpful assistant.'
})
}
return params
},
// 处理响应结果
transformResult: async (result, context) => {
// 添加元数据
if (result.text) {
result.metadata = {
processedAt: new Date().toISOString(),
modelId: context.modelId
}
}
return result
}
})
// 使用自定义插件
const executor = AiCore.create('openai', { apiKey: 'your-key' }, [customPlugin])
```
### 使用 AI SDK 原生 Provider 注册表
> https://ai-sdk.dev/docs/reference/ai-sdk-core/provider-registry
除了使用内建的 provider 管理,你还可以使用 AI SDK 原生的 `createProviderRegistry` 来构建自己的 provider 注册表。
#### 基本用法示例
```typescript
import { createClient } from '@cherrystudio/ai-core'
import { createProviderRegistry } from 'ai'
import { createOpenAI } from '@ai-sdk/openai'
import { anthropic } from '@ai-sdk/anthropic'
// 1. 创建 AI SDK 原生注册表
export const registry = createProviderRegistry({
// register provider with prefix and default setup:
anthropic,
// register provider with prefix and custom setup:
openai: createOpenAI({
apiKey: process.env.OPENAI_API_KEY
})
})
// 2. 创建client,'openai'可以传空或者传providerId(内建的provider)
const client = PluginEnabledAiClient.create('openai', {
apiKey: process.env.OPENAI_API_KEY
})
// 3. 方式1使用内建逻辑传统方式
const result1 = await client.streamText('gpt-4', {
messages: [{ role: 'user', content: 'Hello with built-in logic!' }]
})
// 4. 方式2使用自定义注册表灵活方式
const result2 = await client.streamText({
model: registry.languageModel('openai:gpt-4'),
messages: [{ role: 'user', content: 'Hello with custom registry!' }]
})
// 5. 支持的重载方法
await client.generateObject({
model: registry.languageModel('openai:gpt-4'),
schema: z.object({ name: z.string() }),
messages: [{ role: 'user', content: 'Generate a user' }]
})
await client.streamObject({
model: registry.languageModel('anthropic:claude-3-opus-20240229'),
schema: z.object({ items: z.array(z.string()) }),
messages: [{ role: 'user', content: 'Generate a list' }]
})
```
#### 与插件系统配合使用
更强大的是,你还可以将自定义注册表与 Cherry Studio 的插件系统结合使用:
```typescript
import { PluginEnabledAiClient } from '@cherrystudio/ai-core'
import { createProviderRegistry } from 'ai'
import { createOpenAI } from '@ai-sdk/openai'
import { anthropic } from '@ai-sdk/anthropic'
// 1. 创建带插件的客户端
const client = PluginEnabledAiClient.create(
'openai',
{
apiKey: process.env.OPENAI_API_KEY
},
[LoggingPlugin, RetryPlugin]
)
// 2. 创建自定义注册表
const registry = createProviderRegistry({
openai: createOpenAI({ apiKey: process.env.OPENAI_API_KEY }),
anthropic: anthropic({ apiKey: process.env.ANTHROPIC_API_KEY })
})
// 3. 方式1使用内建逻辑 + 完整插件系统
await client.streamText('gpt-4', {
messages: [{ role: 'user', content: 'Hello with plugins!' }]
})
// 4. 方式2使用自定义注册表 + 有限插件支持
await client.streamText({
model: registry.languageModel('anthropic:claude-3-opus-20240229'),
messages: [{ role: 'user', content: 'Hello from Claude!' }]
})
// 5. 支持的方法
await client.generateObject({
model: registry.languageModel('openai:gpt-4'),
schema: z.object({ name: z.string() }),
messages: [{ role: 'user', content: 'Generate a user' }]
})
await client.streamObject({
model: registry.languageModel('openai:gpt-4'),
schema: z.object({ items: z.array(z.string()) }),
messages: [{ role: 'user', content: 'Generate a list' }]
})
```
#### 混合使用的优势
- **灵活性**:可以根据需要选择使用内建逻辑或自定义注册表
- **兼容性**:完全兼容 AI SDK 的 `createProviderRegistry` API
- **渐进式**:可以逐步迁移现有代码,无需一次性重构
- **插件支持**:自定义注册表仍可享受插件系统的部分功能
- **最佳实践**:结合两种方式的优点,既有动态加载的性能优势,又有统一注册表的便利性
## 📚 相关资源
- [Vercel AI SDK 文档](https://ai-sdk.dev/)
- [Cherry Studio 项目](https://github.com/CherryHQ/cherry-studio)
- [AI SDK Providers](https://ai-sdk.dev/providers/ai-sdk-providers)
## 未来版本
- 🔮 多 Agent 编排
- 🔮 可视化插件配置
- 🔮 实时监控和分析
- 🔮 云端插件同步
## 📄 License
MIT License - 详见 [LICENSE](https://github.com/CherryHQ/cherry-studio/blob/main/LICENSE) 文件
---
**Cherry Studio AI Core** - 让 AI 开发更简单、更强大、更灵活 🚀

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@@ -1,84 +0,0 @@
{
"name": "@cherrystudio/ai-core",
"version": "1.0.1",
"description": "Cherry Studio AI Core - Unified AI Provider Interface Based on Vercel AI SDK",
"main": "dist/index.js",
"module": "dist/index.mjs",
"types": "dist/index.d.ts",
"react-native": "dist/index.js",
"scripts": {
"build": "tsdown",
"dev": "tsc -w",
"clean": "rm -rf dist",
"test": "vitest run",
"test:watch": "vitest"
},
"keywords": [
"ai",
"sdk",
"openai",
"anthropic",
"google",
"cherry-studio",
"vercel-ai-sdk"
],
"author": "Cherry Studio",
"license": "MIT",
"repository": {
"type": "git",
"url": "git+https://github.com/CherryHQ/cherry-studio.git"
},
"bugs": {
"url": "https://github.com/CherryHQ/cherry-studio/issues"
},
"homepage": "https://github.com/CherryHQ/cherry-studio#readme",
"peerDependencies": {
"ai": "^5.0.26"
},
"dependencies": {
"@ai-sdk/anthropic": "^2.0.27",
"@ai-sdk/azure": "^2.0.49",
"@ai-sdk/deepseek": "^1.0.23",
"@ai-sdk/openai": "^2.0.48",
"@ai-sdk/openai-compatible": "^1.0.22",
"@ai-sdk/provider": "^2.0.0",
"@ai-sdk/provider-utils": "^3.0.12",
"@ai-sdk/xai": "^2.0.26",
"zod": "^4.1.5"
},
"devDependencies": {
"tsdown": "^0.12.9",
"typescript": "^5.0.0",
"vitest": "^3.2.4"
},
"sideEffects": false,
"engines": {
"node": ">=18.0.0"
},
"files": [
"dist"
],
"exports": {
".": {
"types": "./dist/index.d.ts",
"react-native": "./dist/index.js",
"import": "./dist/index.mjs",
"require": "./dist/index.js",
"default": "./dist/index.js"
},
"./built-in/plugins": {
"types": "./dist/built-in/plugins/index.d.ts",
"react-native": "./dist/built-in/plugins/index.js",
"import": "./dist/built-in/plugins/index.mjs",
"require": "./dist/built-in/plugins/index.js",
"default": "./dist/built-in/plugins/index.js"
},
"./provider": {
"types": "./dist/provider/index.d.ts",
"react-native": "./dist/provider/index.js",
"import": "./dist/provider/index.mjs",
"require": "./dist/provider/index.js",
"default": "./dist/provider/index.js"
}
}
}

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// 模拟 Vite SSR helper避免 Node 环境找不到时报错
;(globalThis as any).__vite_ssr_exportName__ = (name: string, value: any) => value

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# @cherryStudio-aiCore
Core

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@@ -1,17 +0,0 @@
/**
* Core 模块导出
* 内部核心功能,供其他模块使用,不直接面向最终调用者
*/
// 中间件系统
export type { NamedMiddleware } from './middleware'
export { createMiddlewares, wrapModelWithMiddlewares } from './middleware'
// 创建管理
export { globalModelResolver, ModelResolver } from './models'
export type { ModelConfig as ModelConfigType } from './models/types'
// 执行管理
export type { ToolUseRequestContext } from './plugins/built-in/toolUsePlugin/type'
export { createExecutor, createOpenAICompatibleExecutor } from './runtime'
export type { RuntimeConfig } from './runtime/types'

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@@ -1,8 +0,0 @@
/**
* Middleware 模块导出
* 提供通用的中间件管理能力
*/
export { createMiddlewares } from './manager'
export type { NamedMiddleware } from './types'
export { wrapModelWithMiddlewares } from './wrapper'

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/**
* 中间件管理器
* 专注于 AI SDK 中间件的管理,与插件系统分离
*/
import { LanguageModelV2Middleware } from '@ai-sdk/provider'
/**
* 创建中间件列表
* 合并用户提供的中间件
*/
export function createMiddlewares(userMiddlewares: LanguageModelV2Middleware[] = []): LanguageModelV2Middleware[] {
// 未来可以在这里添加默认的中间件
const defaultMiddlewares: LanguageModelV2Middleware[] = []
return [...defaultMiddlewares, ...userMiddlewares]
}

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/**
* 中间件系统类型定义
*/
import { LanguageModelV2Middleware } from '@ai-sdk/provider'
/**
* 具名中间件接口
*/
export interface NamedMiddleware {
name: string
middleware: LanguageModelV2Middleware
}

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@@ -1,23 +0,0 @@
/**
* 模型包装工具函数
* 用于将中间件应用到LanguageModel上
*/
import { LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import { wrapLanguageModel } from 'ai'
/**
* 使用中间件包装模型
*/
export function wrapModelWithMiddlewares(
model: LanguageModelV2,
middlewares: LanguageModelV2Middleware[]
): LanguageModelV2 {
if (middlewares.length === 0) {
return model
}
return wrapLanguageModel({
model,
middleware: middlewares
})
}

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@@ -1,124 +0,0 @@
/**
* 模型解析器 - models模块的核心
* 负责将modelId解析为AI SDK的LanguageModel实例
* 支持传统格式和命名空间格式
* 集成了来自 ModelCreator 的特殊处理逻辑
*/
import { EmbeddingModelV2, ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import { wrapModelWithMiddlewares } from '../middleware/wrapper'
import { DEFAULT_SEPARATOR, globalRegistryManagement } from '../providers/RegistryManagement'
export class ModelResolver {
/**
* 核心方法解析任意格式的modelId为语言模型
*
* @param modelId 模型ID支持 'gpt-4' 和 'anthropic>claude-3' 两种格式
* @param fallbackProviderId 当modelId为传统格式时使用的providerId
* @param providerOptions provider配置选项用于OpenAI模式选择等
* @param middlewares 中间件数组,会应用到最终模型上
*/
async resolveLanguageModel(
modelId: string,
fallbackProviderId: string,
providerOptions?: any,
middlewares?: LanguageModelV2Middleware[]
): Promise<LanguageModelV2> {
let finalProviderId = fallbackProviderId
let model: LanguageModelV2
// 🎯 处理 OpenAI 模式选择逻辑 (从 ModelCreator 迁移)
if ((fallbackProviderId === 'openai' || fallbackProviderId === 'azure') && providerOptions?.mode === 'chat') {
finalProviderId = `${fallbackProviderId}-chat`
}
// 检查是否是命名空间格式
if (modelId.includes(DEFAULT_SEPARATOR)) {
model = this.resolveNamespacedModel(modelId)
} else {
// 传统格式:使用处理后的 providerId + modelId
model = this.resolveTraditionalModel(finalProviderId, modelId)
}
// 🎯 应用中间件(如果有)
if (middlewares && middlewares.length > 0) {
model = wrapModelWithMiddlewares(model, middlewares)
}
return model
}
/**
* 解析文本嵌入模型
*/
async resolveTextEmbeddingModel(modelId: string, fallbackProviderId: string): Promise<EmbeddingModelV2<string>> {
if (modelId.includes(DEFAULT_SEPARATOR)) {
return this.resolveNamespacedEmbeddingModel(modelId)
}
return this.resolveTraditionalEmbeddingModel(fallbackProviderId, modelId)
}
/**
* 解析图像模型
*/
async resolveImageModel(modelId: string, fallbackProviderId: string): Promise<ImageModelV2> {
if (modelId.includes(DEFAULT_SEPARATOR)) {
return this.resolveNamespacedImageModel(modelId)
}
return this.resolveTraditionalImageModel(fallbackProviderId, modelId)
}
/**
* 解析命名空间格式的语言模型
* aihubmix:anthropic:claude-3 -> globalRegistryManagement.languageModel('aihubmix:anthropic:claude-3')
*/
private resolveNamespacedModel(modelId: string): LanguageModelV2 {
return globalRegistryManagement.languageModel(modelId as any)
}
/**
* 解析传统格式的语言模型
* providerId: 'openai', modelId: 'gpt-4' -> globalRegistryManagement.languageModel('openai:gpt-4')
*/
private resolveTraditionalModel(providerId: string, modelId: string): LanguageModelV2 {
const fullModelId = `${providerId}${DEFAULT_SEPARATOR}${modelId}`
return globalRegistryManagement.languageModel(fullModelId as any)
}
/**
* 解析命名空间格式的嵌入模型
*/
private resolveNamespacedEmbeddingModel(modelId: string): EmbeddingModelV2<string> {
return globalRegistryManagement.textEmbeddingModel(modelId as any)
}
/**
* 解析传统格式的嵌入模型
*/
private resolveTraditionalEmbeddingModel(providerId: string, modelId: string): EmbeddingModelV2<string> {
const fullModelId = `${providerId}${DEFAULT_SEPARATOR}${modelId}`
return globalRegistryManagement.textEmbeddingModel(fullModelId as any)
}
/**
* 解析命名空间格式的图像模型
*/
private resolveNamespacedImageModel(modelId: string): ImageModelV2 {
return globalRegistryManagement.imageModel(modelId as any)
}
/**
* 解析传统格式的图像模型
*/
private resolveTraditionalImageModel(providerId: string, modelId: string): ImageModelV2 {
const fullModelId = `${providerId}${DEFAULT_SEPARATOR}${modelId}`
return globalRegistryManagement.imageModel(fullModelId as any)
}
}
/**
* 全局模型解析器实例
*/
export const globalModelResolver = new ModelResolver()

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@@ -1,9 +0,0 @@
/**
* Models 模块统一导出 - 简化版
*/
// 核心模型解析器
export { globalModelResolver, ModelResolver } from './ModelResolver'
// 保留的类型定义(可能被其他地方使用)
export type { ModelConfig as ModelConfigType } from './types'

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@@ -1,15 +0,0 @@
/**
* Creation 模块类型定义
*/
import { LanguageModelV2Middleware } from '@ai-sdk/provider'
import type { ProviderId, ProviderSettingsMap } from '../providers/types'
export interface ModelConfig<T extends ProviderId = ProviderId> {
providerId: T
modelId: string
providerSettings: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' }
middlewares?: LanguageModelV2Middleware[]
// 额外模型参数
extraModelConfig?: Record<string, any>
}

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@@ -1,87 +0,0 @@
import { streamText } from 'ai'
import {
createAnthropicOptions,
createGenericProviderOptions,
createGoogleOptions,
createOpenAIOptions,
mergeProviderOptions
} from './factory'
// 示例1: 使用已知供应商的严格类型约束
export function exampleOpenAIWithOptions() {
const openaiOptions = createOpenAIOptions({
reasoningEffort: 'medium'
})
// 这里会有类型检查确保选项符合OpenAI的设置
return streamText({
model: {} as any, // 实际使用时替换为真实模型
prompt: 'Hello',
providerOptions: openaiOptions
})
}
// 示例2: 使用Anthropic供应商选项
export function exampleAnthropicWithOptions() {
const anthropicOptions = createAnthropicOptions({
thinking: {
type: 'enabled',
budgetTokens: 1000
}
})
return streamText({
model: {} as any,
prompt: 'Hello',
providerOptions: anthropicOptions
})
}
// 示例3: 使用Google供应商选项
export function exampleGoogleWithOptions() {
const googleOptions = createGoogleOptions({
thinkingConfig: {
includeThoughts: true,
thinkingBudget: 1000
}
})
return streamText({
model: {} as any,
prompt: 'Hello',
providerOptions: googleOptions
})
}
// 示例4: 使用未知供应商(通用类型)
export function exampleUnknownProviderWithOptions() {
const customProviderOptions = createGenericProviderOptions('custom-provider', {
temperature: 0.7,
customSetting: 'value',
anotherOption: true
})
return streamText({
model: {} as any,
prompt: 'Hello',
providerOptions: customProviderOptions
})
}
// 示例5: 合并多个供应商选项
export function exampleMergedOptions() {
const openaiOptions = createOpenAIOptions({})
const customOptions = createGenericProviderOptions('custom', {
customParam: 'value'
})
const mergedOptions = mergeProviderOptions(openaiOptions, customOptions)
return streamText({
model: {} as any,
prompt: 'Hello',
providerOptions: mergedOptions
})
}

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