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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
+1 -1
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@@ -26,7 +26,7 @@ jobs:
ref: ${{ github.event.pull_request.head.ref }}
- name: 📦 Setting Node.js
uses: actions/setup-node@v5
uses: actions/setup-node@v4
with:
node-version: 20
+1 -1
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@@ -27,7 +27,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v5
uses: actions/checkout@v4
with:
fetch-depth: 1
+6 -11
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@@ -16,13 +16,10 @@ on:
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
)
(github.event_name == 'issues') ||
(github.event_name == 'issue_comment' && github.event.sender.type != 'Bot') ||
(github.event_name == 'pull_request_review' && github.event.sender.type != 'Bot') ||
(github.event_name == 'pull_request_review_comment' && github.event.sender.type != 'Bot')
runs-on: ubuntu-latest
permissions:
contents: read
@@ -32,7 +29,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v5
uses: actions/checkout@v4
with:
fetch-depth: 1
@@ -45,7 +42,7 @@ jobs:
# 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_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
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:
@@ -108,5 +105,3 @@ jobs:
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: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}
+1 -1
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@@ -37,7 +37,7 @@ jobs:
actions: read # Required for Claude to read CI results on PRs
steps:
- name: Checkout repository
uses: actions/checkout@v5
uses: actions/checkout@v4
with:
fetch-depth: 1
+1 -2
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@@ -12,8 +12,7 @@ jobs:
if: github.event.pull_request.merged == true && github.event.pull_request.head.repo.full_name == github.repository
steps:
- name: Delete merged branch
uses: actions/github-script@v8
continue-on-error: true
uses: actions/github-script@v7
with:
script: |
github.rest.git.deleteRef({
+25
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@@ -0,0 +1,25 @@
name: 'Issue Checker'
on:
issues:
types: [opened, edited]
pull_request_target:
types: [opened, edited]
issue_comment:
types: [created, edited]
permissions:
contents: read
issues: write
pull-requests: write
jobs:
triage:
runs-on: ubuntu-latest
steps:
- uses: MaaAssistantArknights/issue-checker@v1.14
with:
repo-token: '${{ secrets.GITHUB_TOKEN }}'
configuration-path: .github/issue-checker.yml
not-before: 2022-08-05T00:00:00Z
include-title: 1
+1 -1
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@@ -56,7 +56,7 @@ jobs:
ref: main
- name: Install Node.js
uses: actions/setup-node@v5
uses: actions/setup-node@v4
with:
node-version: 20
+1 -1
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@@ -24,7 +24,7 @@ jobs:
uses: actions/checkout@v5
- name: Install Node.js
uses: actions/setup-node@v5
uses: actions/setup-node@v4
with:
node-version: 20
+1 -1
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@@ -47,7 +47,7 @@ jobs:
npm version "$VERSION" --no-git-tag-version --allow-same-version
- name: Install Node.js
uses: actions/setup-node@v5
uses: actions/setup-node@v4
with:
node-version: 20
-2
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@@ -71,5 +71,3 @@ playwright-report
test-results
YOUR_MEMORY_FILE_PATH
.sessions/
+1 -1
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@@ -117,7 +117,7 @@
"no-unused-expressions": "off", // this rule disallow us to use expression to call function, like `condition && fn()`
"no-unused-labels": "error",
"no-unused-private-class-members": "error",
"no-unused-vars": ["warn", { "caughtErrors": "none" }],
"no-unused-vars": ["error", { "caughtErrors": "none" }],
"no-useless-backreference": "error",
"no-useless-catch": "error",
"no-useless-escape": "error",
+3 -7
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@@ -34,10 +34,10 @@
"*.css": "tailwindcss"
},
"files.eol": "\n",
// "i18n-ally.displayLanguage": "zh-cn", // 界面显示语言
"i18n-ally.displayLanguage": "zh-cn",
"i18n-ally.enabledFrameworks": ["react-i18next", "i18next"],
"i18n-ally.enabledParsers": ["ts", "js", "json"], // 解析语言
"i18n-ally.fullReloadOnChanged": true,
"i18n-ally.fullReloadOnChanged": true, // 界面显示语言
"i18n-ally.keystyle": "nested", // 翻译路径格式
"i18n-ally.localesPaths": ["src/renderer/src/i18n/locales"],
// "i18n-ally.namespace": true, // 开启命名空间
@@ -47,9 +47,5 @@
"search.exclude": {
"**/dist/**": true,
".yarn/releases/**": true
},
"tailwindCSS.classAttributes": [
"className",
"classNames",
]
}
}
@@ -0,0 +1,13 @@
diff --git a/dist/index.mjs b/dist/index.mjs
index 110f37ec18c98b1d55ae2b73cc716194e6f9094d..17e109b7778cbebb904f1919e768d21a2833d965 100644
--- a/dist/index.mjs
+++ b/dist/index.mjs
@@ -448,7 +448,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
// src/get-model-path.ts
function getModelPath(modelId) {
- return modelId.includes("/") ? modelId : `models/${modelId}`;
+ return modelId?.includes("models/") ? modelId : `models/${modelId}`;
}
// src/google-generative-ai-options.ts
@@ -1,22 +0,0 @@
diff --git a/dist/index.mjs b/dist/index.mjs
index e89ff0185a2e317165abdeab9fa544f676386564..776237576e80f2afbda4e638dafff1544fdcf586 100644
--- a/dist/index.mjs
+++ b/dist/index.mjs
@@ -477,7 +477,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
// src/get-model-path.ts
function getModelPath(modelId) {
- return modelId.includes("/") ? modelId : `models/${modelId}`;
+ return modelId.includes("models/") ? modelId : `models/${modelId}`;
}
// src/google-generative-ai-options.ts
@@ -599,7 +599,7 @@ function prepareTools({
"gemini-flash-latest",
"gemini-flash-lite-latest",
"gemini-pro-latest"
- ].some((id) => id === modelId);
+ ].some((id) => modelId.includes(id));
const isGemini2 = modelId.includes("gemini-2") || isLatest;
const supportsDynamicRetrieval = modelId.includes("gemini-1.5-flash") && !modelId.includes("-8b");
if (tools == null) {
@@ -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
});
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@@ -1 +0,0 @@
CLAUDE.md
+114 -38
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@@ -1,51 +1,127 @@
# AI Assistant Guide
# CLAUDE.md
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.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## 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
### Environment Setup
## Project Architecture
- **Prerequisites**: Node.js v22.x.x or higher, Yarn 4.9.1
- **Setup Yarn**: `corepack enable && corepack prepare yarn@4.9.1 --activate`
- **Install Dependencies**: `yarn install`
- **Add New Dependencies**: `yarn add -D` for renderer-specific dependencies, `yarn add` for others.
### 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
### Development
### 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.
- **Start Development**: `yarn dev` - Runs Electron app in development mode
- **Debug Mode**: `yarn debug` - Starts with debugging enabled, use chrome://inspect
### Testing & Quality
- **Run Tests**: `yarn test` - Runs all tests (Vitest)
- **Run E2E Tests**: `yarn test:e2e` - Playwright end-to-end tests
- **Type Check**: `yarn typecheck` - Checks TypeScript for both node and web
- **Lint**: `yarn lint` - ESLint with auto-fix
- **Format**: `yarn format` - Biome formatting
### Build & Release
- **Build**: `yarn build` - Builds for production (includes typecheck)
- **Platform-specific builds**:
- Windows: `yarn build:win`
- macOS: `yarn build:mac`
- Linux: `yarn build:linux`
## Architecture Overview
### Electron Multi-Process Architecture
- **Main Process** (`src/main/`): Node.js backend handling system integration, file operations, and services
- **Renderer Process** (`src/renderer/`): React-based UI running in Chromium
- **Preload Scripts** (`src/preload/`): Secure bridge between main and renderer processes
### Key Architectural Components
#### Main Process Services (`src/main/services/`)
- **MCPService**: Model Context Protocol server management
- **KnowledgeService**: Document processing and knowledge base management
- **FileStorage/S3Storage/WebDav**: Multiple storage backends
- **WindowService**: Multi-window management (main, mini, selection windows)
- **ProxyManager**: Network proxy handling
- **SearchService**: Full-text search capabilities
#### AI Core (`src/renderer/src/aiCore/`)
- **Middleware System**: Composable pipeline for AI request processing
- **Client Factory**: Supports multiple AI providers (OpenAI, Anthropic, Gemini, etc.)
- **Stream Processing**: Real-time response handling
#### State Management (`src/renderer/src/store/`)
- **Redux Toolkit**: Centralized state management
- **Persistent Storage**: Redux-persist for data persistence
- **Thunks**: Async actions for complex operations
#### Knowledge Management
- **Embeddings**: Vector search with multiple providers (OpenAI, Voyage, etc.)
- **OCR**: Document text extraction (system OCR, Doc2x, Mineru)
- **Preprocessing**: Document preparation pipeline
- **Loaders**: Support for various file formats (PDF, DOCX, EPUB, etc.)
### Build System
- **Electron-Vite**: Development and build tooling (v4.0.0)
- **Rolldown-Vite**: Using experimental rolldown-vite instead of standard vite
- **Workspaces**: Monorepo structure with `packages/` directory
- **Multiple Entry Points**: Main app, mini window, selection toolbar
- **Styled Components**: CSS-in-JS styling with SWC optimization
### Testing Strategy
- **Vitest**: Unit and integration testing
- **Playwright**: End-to-end testing
- **Component Testing**: React Testing Library
- **Coverage**: Available via `yarn test:coverage`
### Key Patterns
- **IPC Communication**: Secure main-renderer communication via preload scripts
- **Service Layer**: Clear separation between UI and business logic
- **Plugin Architecture**: Extensible via MCP servers and middleware
- **Multi-language Support**: i18n with dynamic loading
- **Theme System**: Light/dark themes with custom CSS variables
### UI Design
The project is in the process of migrating from antd & styled-components to HeroUI. Please use HeroUI to build UI components. The use of antd and styled-components is prohibited.
HeroUI Docs: https://www.heroui.com/docs/guide/introduction
## Logging Standards
### Usage
### Logging
```typescript
// Main process
import { loggerService } from '@logger'
const logger = loggerService.withContext('moduleName')
// Renderer: loggerService.initWindowSource('windowName') first
// Renderer process (set window source first)
loggerService.initWindowSource('windowName')
const logger = loggerService.withContext('moduleName')
// Logging
logger.info('message', CONTEXT)
logger.error('message', new Error('error'), CONTEXT)
```
### Log Levels (highest to lowest)
- `error` - Critical errors causing crash/unusable functionality
- `warn` - Potential issues that don't affect core functionality
- `info` - Application lifecycle and key user actions
- `verbose` - Detailed flow information for feature tracing
- `debug` - Development diagnostic info (not for production)
- `silly` - Extreme debugging, low-level information
+29 -648
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@@ -1,661 +1,42 @@
GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
**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.
This project employs a **User-Segmented Dual Licensing** model.
Preamble
**Core Principle:**
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.
* **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**.
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.
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.
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. Open Source License: AGPLv3 - For Individuals and Organizations of 10 or Fewer**
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.
* 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.
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. Commercial License - For Organizations with More Than 10 Individuals, or Users Needing to Avoid AGPLv3 Obligations**
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.
* **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 precise terms and conditions for copying, distribution and
modification follow.
**3. Contributions**
TERMS AND CONDITIONS
* 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.
0. Definitions.
**4. Other Terms**
"This License" refers to version 3 of the GNU Affero General Public License.
"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
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A "covered work" means either the unmodified Program or a work based
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To "propagate" a work means to do anything with it that, without
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1. Source Code.
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The Corresponding Source need not include anything that users
can regenerate automatically from other parts of the Corresponding
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The Corresponding Source for a work in source code form is that
same work.
2. Basic Permissions.
All rights granted under this License are granted for the term of
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permission to run the unmodified Program. The output from running a
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You may make, run and propagate covered works that you do not
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of having them make modifications exclusively for you, or provide you
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the terms of this License in conveying all material for which you do
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for you must do so exclusively on your behalf, under your direction
and control, on terms that prohibit them from making any copies of
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Conveying under any other circumstances is permitted solely under
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No covered work shall be deemed part of an effective technological
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similar laws prohibiting or restricting circumvention of such
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When you convey a covered work, you waive any legal power to forbid
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modification of the work as a means of enforcing, against the work's
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4. Conveying Verbatim Copies.
You may convey verbatim copies of the Program's source code as you
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keep intact all notices stating that this License and any
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keep intact all notices of the absence of any warranty; and give all
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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.
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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
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7. This requirement modifies the requirement in section 4 to
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License will therefore apply, along with any applicable section 7
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A compilation of a covered work with other separate and independent
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beyond what the individual works permit. Inclusion of a covered work
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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,
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(including a physical distribution medium), accompanied by the
Corresponding Source fixed on a durable physical medium
customarily used for software interchange.
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long as you offer spare parts or customer support for that product
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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
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with subsection 6b.
d) Convey the object code by offering access from a designated
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that supports equivalent copying facilities, provided you maintain
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"Installation Information" for a User Product means any methods,
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If you convey an object code work under this section in, or with, or
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by the Installation Information. But this requirement does not apply
if neither you nor any third party retains the ability to install
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The requirement to provide Installation Information does not include a
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Corresponding Source conveyed, and Installation Information provided,
in accord with this section must be in a format that is publicly
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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
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for which you have or can give appropriate copyright permission.
Notwithstanding any other provision of this License, for material you
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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
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it) with contractual assumptions of liability to the recipient, for
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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
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a further restriction but permits relicensing or conveying under this
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If you add terms to a covered work in accord with this section, you
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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
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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
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violation by some reasonable means, this is the first time you have
received notice of violation of this License (for any work) from that
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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
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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
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10. Automatic Licensing of Downstream Recipients.
Each time you convey a covered work, the recipient automatically
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An "entity transaction" is a transaction transferring control of an
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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
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rights granted under this License, and you may not initiate litigation
(including a cross-claim or counterclaim in a lawsuit) alleging that
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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
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patent sublicenses in a manner consistent with the requirements of
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Each contributor grants you a non-exclusive, worldwide, royalty-free
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In the following three paragraphs, a "patent license" is any express
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sue for patent infringement). To "grant" such a patent license to a
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If you convey a covered work, knowingly relying on a patent license,
and the Corresponding Source of the work is not available for anyone
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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
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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
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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
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parties who would receive the covered work from you, a discriminatory
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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
otherwise be available to you under applicable patent law.
12. No Surrender of Others' Freedom.
If conditions are imposed on you (whether by court order, agreement or
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excuse you from the conditions of this License. If you cannot convey a
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License and any other pertinent obligations, then as a consequence you may
not convey it at all. For example, if you agree to terms that obligate you
to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Remote Network Interaction; Use with the GNU General Public License.
Notwithstanding any other provision of this License, if you modify the
Program, your modified version must prominently offer all users
interacting with it remotely through a computer network (if your version
supports such interaction) an opportunity to receive the Corresponding
Source of your version by providing access to the Corresponding Source
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means of facilitating copying of software. This Corresponding Source
shall include the Corresponding Source for any work covered by version 3
of the GNU General Public License that is incorporated pursuant to the
following paragraph.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU General Public License into a single
combined work, and to convey the resulting work. The terms of this
License will continue to apply to the part which is the covered work,
but the work with which it is combined will remain governed by version
3 of the GNU General Public License.
14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of
the GNU Affero General Public License from time to time. Such new versions
will be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.
Each version is given a distinguishing version number. If the
Program specifies that a certain numbered version of the GNU Affero General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
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by the Free Software Foundation.
If the Program specifies that a proxy can decide which future
versions of the GNU Affero General Public License can be used, that proxy's
public statement of acceptance of a version permanently authorizes you
to choose that version for the Program.
Later license versions may give you additional or different
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author or copyright holder as a result of your choosing to follow a
later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If your software can interact with users remotely through a computer
network, you should also make sure that it provides a way for users to
get its source. For example, if your program is a web application, its
interface could display a "Source" link that leads users to an archive
of the code. There are many ways you could offer source, and different
solutions will be better for different programs; see section 13 for the
specific requirements.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.
* 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).
-9
View File
@@ -141,7 +141,6 @@ We're actively working on the following features and improvements:
- iOS App (Phase 1)
- Multi-Window support
- Window Pinning functionality
- Intel AI PC (Core Ultra) Support
4. 🔌 **Advanced Features**
@@ -287,14 +286,6 @@ We believe the Enterprise Edition will become your team's AI productivity engine
</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,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
+11 -59
View File
@@ -9,9 +9,15 @@ electronLanguages:
- zh_CN # for macOS
- zh_TW # for macOS
- en # for macOS
- de
directories:
buildResources: build
extraResources:
- from: 'src/renderer/src/assets/styles'
to: 'app.asar.unpacked/resources/styles'
filter:
- 'font.css'
- 'color.css'
- 'richtext.css'
protocols:
- name: Cherry Studio
@@ -126,61 +132,7 @@ 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-->
Optimized note-taking feature, now able to quickly rename by modifying the title
Fixed issue where CherryAI free model could not be used
Fixed issue where VertexAI proxy address could not be called normally
Fixed issue where built-in tools from service providers could not be called normally
-1
View File
@@ -88,7 +88,6 @@ export default defineConfig({
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'),
+1 -4
View File
@@ -2,7 +2,6 @@ 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'
@@ -16,8 +15,7 @@ export default defineConfig([
{
plugins: {
'simple-import-sort': simpleImportSort,
'unused-imports': unusedImports,
'import-zod': importZod
'unused-imports': unusedImports
},
rules: {
'@typescript-eslint/explicit-function-return-type': 'off',
@@ -27,7 +25,6 @@ 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'
}
},
// Configuration for ensuring compatibility with the original ESLint(8.x) rules
+25 -47
View File
@@ -1,6 +1,6 @@
{
"name": "CherryStudio",
"version": "1.7.0-beta.2",
"version": "1.6.2",
"private": true,
"description": "A powerful AI assistant for producer.",
"main": "./out/main/index.js",
@@ -43,18 +43,15 @@
"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",
"check:i18n": "tsx scripts/check-i18n.ts",
"sync:i18n": "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",
@@ -68,7 +65,7 @@
"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",
"lint": "oxlint --fix && eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts --fix --cache && yarn typecheck && yarn check:i18n",
"format": "biome format --write && biome lint --write",
"format:check": "biome format && biome lint",
"prepare": "git config blame.ignoreRevsFile .git-blame-ignore-revs && husky",
@@ -78,7 +75,6 @@
"release:aicore": "yarn workspace @cherrystudio/ai-core version patch --immediate && yarn workspace @cherrystudio/ai-core npm publish --access public"
},
"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",
@@ -101,10 +97,10 @@
"@agentic/exa": "^7.3.3",
"@agentic/searxng": "^7.3.3",
"@agentic/tavily": "^7.3.3",
"@ai-sdk/amazon-bedrock": "^4.0.0-beta.38",
"@ai-sdk/google-vertex": "^4.0.0-beta.42",
"@ai-sdk/mistral": "^3.0.0-beta.21",
"@ai-sdk/perplexity": "^3.0.0-beta.20",
"@ai-sdk/amazon-bedrock": "^3.0.21",
"@ai-sdk/google-vertex": "^3.0.27",
"@ai-sdk/mistral": "^2.0.14",
"@ai-sdk/perplexity": "^2.0.9",
"@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",
@@ -112,7 +108,7 @@
"@aws-sdk/client-bedrock-runtime": "^3.840.0",
"@aws-sdk/client-s3": "^3.840.0",
"@biomejs/biome": "2.2.4",
"@cherrystudio/ai-core": "workspace:^1.0.3",
"@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",
@@ -126,7 +122,6 @@
"@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",
@@ -155,9 +150,7 @@
"@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",
@@ -209,7 +202,6 @@
"@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",
@@ -223,7 +215,7 @@
"@viz-js/lang-dot": "^1.0.5",
"@viz-js/viz": "^3.14.0",
"@xyflow/react": "^12.4.4",
"ai": "^6.0.0-beta.66",
"ai": "^5.0.44",
"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",
@@ -246,26 +238,21 @@
"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": "37.4.0",
"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-vite": "4.0.0",
"electron-window-state": "^5.0.3",
"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",
@@ -281,7 +268,6 @@
"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",
@@ -298,15 +284,16 @@
"motion": "^12.10.5",
"notion-helper": "^1.3.22",
"npx-scope-finder": "^1.2.0",
"oxlint": "^1.22.0",
"openai": "patch:openai@npm%3A5.12.2#~/.yarn/patches/openai-npm-5.12.2-30b075401c.patch",
"oxlint": "^1.15.0",
"oxlint-tsgolint": "^0.2.0",
"p-queue": "^8.1.0",
"pdf-lib": "^1.17.1",
"pdf-parse": "^1.1.1",
"playwright": "^1.55.1",
"playwright": "^1.52.0",
"proxy-agent": "^6.5.0",
"react": "^19.2.0",
"react-dom": "^19.2.0",
"react": "^19.0.0",
"react-dom": "^19.0.0",
"react-error-boundary": "^6.0.0",
"react-hotkeys-hook": "^4.6.1",
"react-i18next": "^14.1.2",
@@ -338,7 +325,6 @@
"string-width": "^7.2.0",
"striptags": "^3.2.0",
"styled-components": "^6.1.11",
"swr": "^2.3.6",
"tailwindcss": "^4.1.13",
"tar": "^7.4.3",
"tiny-pinyin": "^1.3.2",
@@ -349,8 +335,8 @@
"typescript": "~5.8.2",
"undici": "6.21.2",
"unified": "^11.0.5",
"uuid": "^13.0.0",
"vite": "npm:rolldown-vite@7.1.5",
"uuid": "^10.0.0",
"vite": "npm:rolldown-vite@latest",
"vitest": "^3.2.4",
"webdav": "^5.8.0",
"winston": "^3.17.0",
@@ -361,7 +347,7 @@
"yjs": "^13.6.27",
"youtubei.js": "^15.0.1",
"zipread": "^1.3.3",
"zod": "^4.1.12"
"zod": "^4.1.5"
},
"resolutions": {
"@codemirror/language": "6.11.3",
@@ -373,25 +359,17 @@
"app-builder-lib@npm:26.0.13": "patch:app-builder-lib@npm%3A26.0.13#~/.yarn/patches/app-builder-lib-npm-26.0.13-a064c9e1d0.patch",
"app-builder-lib@npm:26.0.15": "patch:app-builder-lib@npm%3A26.0.15#~/.yarn/patches/app-builder-lib-npm-26.0.15-360e5b0476.patch",
"atomically@npm:^1.7.0": "patch:atomically@npm%3A1.7.0#~/.yarn/patches/atomically-npm-1.7.0-e742e5293b.patch",
"esbuild": "^0.25.0",
"file-stream-rotator@npm:^0.6.1": "patch:file-stream-rotator@npm%3A0.6.1#~/.yarn/patches/file-stream-rotator-npm-0.6.1-eab45fb13d.patch",
"libsql@npm:^0.4.4": "patch:libsql@npm%3A0.4.7#~/.yarn/patches/libsql-npm-0.4.7-444e260fb1.patch",
"node-abi": "4.12.0",
"openai@npm:^4.77.0": "npm:@cherrystudio/openai@6.5.0",
"openai@npm:^4.87.3": "npm:@cherrystudio/openai@6.5.0",
"openai@npm:^4.77.0": "patch:openai@npm%3A5.12.2#~/.yarn/patches/openai-npm-5.12.2-30b075401c.patch",
"openai@npm:^4.87.3": "patch:openai@npm%3A5.12.2#~/.yarn/patches/openai-npm-5.12.2-30b075401c.patch",
"pdf-parse@npm:1.1.1": "patch:pdf-parse@npm%3A1.1.1#~/.yarn/patches/pdf-parse-npm-1.1.1-04a6109b2a.patch",
"pkce-challenge@npm:^4.1.0": "patch:pkce-challenge@npm%3A4.1.0#~/.yarn/patches/pkce-challenge-npm-4.1.0-fbc51695a3.patch",
"tar-fs": "^2.1.4",
"undici": "6.21.2",
"vite": "npm:rolldown-vite@7.1.5",
"vite": "npm:rolldown-vite@latest",
"tesseract.js@npm:*": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
"@img/sharp-darwin-arm64": "0.34.3",
"@img/sharp-darwin-x64": "0.34.3",
"@img/sharp-linux-arm": "0.34.3",
"@img/sharp-linux-arm64": "0.34.3",
"@img/sharp-linux-x64": "0.34.3",
"@img/sharp-win32-x64": "0.34.3",
"@ai-sdk/google@npm:3.0.0-beta.27": "patch:@ai-sdk/google@npm%3A3.0.0-beta.27#~/.yarn/patches/@ai-sdk-google-npm-3.0.0-beta.27-8900c301e6.patch"
"@ai-sdk/google@npm:2.0.14": "patch:@ai-sdk/google@npm%3A2.0.14#~/.yarn/patches/@ai-sdk-google-npm-2.0.14-376d8b03cc.patch"
},
"packageManager": "yarn@4.9.1",
"lint-staged": {
+10 -11
View File
@@ -1,6 +1,6 @@
{
"name": "@cherrystudio/ai-core",
"version": "1.0.3",
"version": "1.0.0-alpha.18",
"description": "Cherry Studio AI Core - Unified AI Provider Interface Based on Vercel AI SDK",
"main": "dist/index.js",
"module": "dist/index.mjs",
@@ -36,16 +36,15 @@
"ai": "^5.0.26"
},
"dependencies": {
"@ai-sdk/anthropic": "^3.0.0-beta.34",
"@ai-sdk/azure": "^3.0.0-beta.34",
"@ai-sdk/deepseek": "^2.0.0-beta.21",
"@ai-sdk/google": "patch:@ai-sdk/google@npm%3A3.0.0-beta.27#~/.yarn/patches/@ai-sdk-google-npm-3.0.0-beta.27-8900c301e6.patch",
"@ai-sdk/openai": "^3.0.0-beta.34",
"@ai-sdk/openai-compatible": "^2.0.0-beta.21",
"@ai-sdk/provider": "^3.0.0-beta.8",
"@ai-sdk/provider-utils": "^4.0.0-beta.20",
"@ai-sdk/xai": "^3.0.0-beta.22",
"zod": "^4.1.12"
"@ai-sdk/anthropic": "^2.0.17",
"@ai-sdk/azure": "^2.0.30",
"@ai-sdk/deepseek": "^1.0.17",
"@ai-sdk/openai": "^2.0.30",
"@ai-sdk/openai-compatible": "^1.0.17",
"@ai-sdk/provider": "^2.0.0",
"@ai-sdk/provider-utils": "^3.0.9",
"@ai-sdk/xai": "^2.0.18",
"zod": "^4.1.5"
},
"devDependencies": {
"tsdown": "^0.12.9",
@@ -2,15 +2,15 @@
* 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 { LanguageModelV3Middleware } from '@ai-sdk/provider'
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: LanguageModelV3Middleware[] = []): LanguageModelV3Middleware[] {
export function createMiddlewares(userMiddlewares: LanguageModelV2Middleware[] = []): LanguageModelV2Middleware[] {
// 未来可以在这里添加默认的中间件
const defaultMiddlewares: LanguageModelV3Middleware[] = []
const defaultMiddlewares: LanguageModelV2Middleware[] = []
return [...defaultMiddlewares, ...userMiddlewares]
}
+2 -2
View File
@@ -1,12 +1,12 @@
/**
* 中间件系统类型定义
*/
import { LanguageModelV3Middleware } from '@ai-sdk/provider'
import { LanguageModelV2Middleware } from '@ai-sdk/provider'
/**
* 具名中间件接口
*/
export interface NamedMiddleware {
name: string
middleware: LanguageModelV3Middleware
middleware: LanguageModelV2Middleware
}
@@ -2,16 +2,16 @@
* 模型包装工具函数
* 用于将中间件应用到LanguageModel上
*/
import { LanguageModelV3, LanguageModelV3Middleware } from '@ai-sdk/provider'
import { LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import { wrapLanguageModel } from 'ai'
/**
* 使用中间件包装模型
*/
export function wrapModelWithMiddlewares(
model: LanguageModelV3,
middlewares: LanguageModelV3Middleware[]
): LanguageModelV3 {
model: LanguageModelV2,
middlewares: LanguageModelV2Middleware[]
): LanguageModelV2 {
if (middlewares.length === 0) {
return model
}
@@ -5,7 +5,7 @@
* 集成了来自 ModelCreator 的特殊处理逻辑
*/
import { EmbeddingModelV3, ImageModelV3, LanguageModelV3, LanguageModelV3Middleware } from '@ai-sdk/provider'
import { EmbeddingModelV2, ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import { wrapModelWithMiddlewares } from '../middleware/wrapper'
import { DEFAULT_SEPARATOR, globalRegistryManagement } from '../providers/RegistryManagement'
@@ -23,10 +23,10 @@ export class ModelResolver {
modelId: string,
fallbackProviderId: string,
providerOptions?: any,
middlewares?: LanguageModelV3Middleware[]
): Promise<LanguageModelV3> {
middlewares?: LanguageModelV2Middleware[]
): Promise<LanguageModelV2> {
let finalProviderId = fallbackProviderId
let model: LanguageModelV3
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`
@@ -51,7 +51,7 @@ export class ModelResolver {
/**
* 解析文本嵌入模型
*/
async resolveTextEmbeddingModel(modelId: string, fallbackProviderId: string): Promise<EmbeddingModelV3<string>> {
async resolveTextEmbeddingModel(modelId: string, fallbackProviderId: string): Promise<EmbeddingModelV2<string>> {
if (modelId.includes(DEFAULT_SEPARATOR)) {
return this.resolveNamespacedEmbeddingModel(modelId)
}
@@ -62,7 +62,7 @@ export class ModelResolver {
/**
* 解析图像模型
*/
async resolveImageModel(modelId: string, fallbackProviderId: string): Promise<ImageModelV3> {
async resolveImageModel(modelId: string, fallbackProviderId: string): Promise<ImageModelV2> {
if (modelId.includes(DEFAULT_SEPARATOR)) {
return this.resolveNamespacedImageModel(modelId)
}
@@ -74,7 +74,7 @@ export class ModelResolver {
* 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): LanguageModelV3 {
private resolveNamespacedModel(modelId: string): LanguageModelV2 {
return globalRegistryManagement.languageModel(modelId as any)
}
@@ -82,7 +82,7 @@ export class ModelResolver {
* 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): LanguageModelV3 {
private resolveTraditionalModel(providerId: string, modelId: string): LanguageModelV2 {
const fullModelId = `${providerId}${DEFAULT_SEPARATOR}${modelId}`
return globalRegistryManagement.languageModel(fullModelId as any)
}
@@ -90,14 +90,14 @@ export class ModelResolver {
/**
* 解析命名空间格式的嵌入模型
*/
private resolveNamespacedEmbeddingModel(modelId: string): EmbeddingModelV3<string> {
private resolveNamespacedEmbeddingModel(modelId: string): EmbeddingModelV2<string> {
return globalRegistryManagement.textEmbeddingModel(modelId as any)
}
/**
* 解析传统格式的嵌入模型
*/
private resolveTraditionalEmbeddingModel(providerId: string, modelId: string): EmbeddingModelV3<string> {
private resolveTraditionalEmbeddingModel(providerId: string, modelId: string): EmbeddingModelV2<string> {
const fullModelId = `${providerId}${DEFAULT_SEPARATOR}${modelId}`
return globalRegistryManagement.textEmbeddingModel(fullModelId as any)
}
@@ -105,14 +105,14 @@ export class ModelResolver {
/**
* 解析命名空间格式的图像模型
*/
private resolveNamespacedImageModel(modelId: string): ImageModelV3 {
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): ImageModelV3 {
private resolveTraditionalImageModel(providerId: string, modelId: string): ImageModelV2 {
const fullModelId = `${providerId}${DEFAULT_SEPARATOR}${modelId}`
return globalRegistryManagement.imageModel(fullModelId as any)
}
+2 -2
View File
@@ -1,7 +1,7 @@
/**
* Creation
*/
import { LanguageModelV3Middleware } from '@ai-sdk/provider'
import { LanguageModelV2Middleware } from '@ai-sdk/provider'
import type { ProviderId, ProviderSettingsMap } from '../providers/types'
@@ -9,7 +9,7 @@ export interface ModelConfig<T extends ProviderId = ProviderId> {
providerId: T
modelId: string
providerSettings: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' }
middlewares?: LanguageModelV3Middleware[]
middlewares?: LanguageModelV2Middleware[]
// 额外模型参数
extraModelConfig?: Record<string, any>
}
+3 -3
View File
@@ -1,11 +1,11 @@
import { type AnthropicProviderOptions } from '@ai-sdk/anthropic'
import { type GoogleGenerativeAIProviderOptions } from '@ai-sdk/google'
import { type OpenAIResponsesProviderOptions } from '@ai-sdk/openai'
import { type SharedV3ProviderMetadata } from '@ai-sdk/provider'
import { type SharedV2ProviderMetadata } from '@ai-sdk/provider'
import { type XaiProviderOptions } from '@ai-sdk/xai'
import { type OpenRouterProviderOptions } from '@openrouter/ai-sdk-provider'
export type ProviderOptions<T extends keyof SharedV3ProviderMetadata> = SharedV3ProviderMetadata[T]
export type ProviderOptions<T extends keyof SharedV2ProviderMetadata> = SharedV2ProviderMetadata[T]
/**
* map中没有
@@ -29,4 +29,4 @@ export type TypedProviderOptions = {
[K in keyof ProviderOptionsMap]?: ProviderOptionsMap[K]
} & {
[K in string]?: Record<string, any>
} & SharedV3ProviderMetadata
} & SharedV2ProviderMetadata
@@ -1,7 +1,7 @@
import { anthropic } from '@ai-sdk/anthropic'
import { google } from '@ai-sdk/google'
import { openai } from '@ai-sdk/openai'
import { InferToolInput, InferToolOutput, type Tool } from 'ai'
import { InferToolInput, InferToolOutput } from 'ai'
import { ProviderOptionsMap } from '../../../options/types'
import { OpenRouterSearchConfig } from './openrouter'
@@ -15,13 +15,6 @@ export type AnthropicSearchConfig = NonNullable<Parameters<typeof anthropic.tool
export type GoogleSearchConfig = NonNullable<Parameters<typeof google.tools.googleSearch>[0]>
export type XAISearchConfig = NonNullable<ProviderOptionsMap['xai']['searchParameters']>
type NormalizeTool<T> = T extends Tool<infer INPUT, infer OUTPUT> ? Tool<INPUT, OUTPUT> : Tool<any, any>
type AnthropicWebSearchTool = NormalizeTool<ReturnType<typeof anthropic.tools.webSearch_20250305>>
type OpenAIWebSearchTool = NormalizeTool<ReturnType<typeof openai.tools.webSearch>>
type OpenAIChatWebSearchTool = NormalizeTool<ReturnType<typeof openai.tools.webSearchPreview>>
type GoogleWebSearchTool = NormalizeTool<ReturnType<typeof google.tools.googleSearch>>
/**
*
*
@@ -66,7 +59,7 @@ export const DEFAULT_WEB_SEARCH_CONFIG: WebSearchPluginConfig = {
export type WebSearchToolOutputSchema = {
// Anthropic 工具 - 手动定义
anthropic: InferToolOutput<AnthropicWebSearchTool>
anthropic: InferToolOutput<ReturnType<typeof anthropic.tools.webSearch_20250305>>
// OpenAI 工具 - 基于实际输出
// TODO: 上游定义不规范,是unknown
@@ -89,8 +82,8 @@ export type WebSearchToolOutputSchema = {
}
export type WebSearchToolInputSchema = {
anthropic: InferToolInput<AnthropicWebSearchTool>
openai: InferToolInput<OpenAIWebSearchTool>
google: InferToolInput<GoogleWebSearchTool>
'openai-chat': InferToolInput<OpenAIChatWebSearchTool>
anthropic: InferToolInput<ReturnType<typeof anthropic.tools.webSearch_20250305>>
openai: InferToolInput<ReturnType<typeof openai.tools.webSearch>>
google: InferToolInput<ReturnType<typeof google.tools.googleSearch>>
'openai-chat': InferToolInput<ReturnType<typeof openai.tools.webSearchPreview>>
}
+2 -2
View File
@@ -1,6 +1,6 @@
// 核心类型和接口
export type { AiPlugin, AiRequestContext, HookResult, PluginManagerConfig } from './types'
import type { ImageModelV3 } from '@ai-sdk/provider'
import type { ImageModelV2 } from '@ai-sdk/provider'
import type { LanguageModel } from 'ai'
import type { ProviderId } from '../providers'
@@ -12,7 +12,7 @@ export { PluginManager } from './manager'
// 工具函数
export function createContext<T extends ProviderId>(
providerId: T,
model: LanguageModel | ImageModelV3,
model: LanguageModel | ImageModelV2,
originalParams: any
): AiRequestContext {
return {
+3 -3
View File
@@ -1,4 +1,4 @@
import type { ImageModelV3 } from '@ai-sdk/provider'
import type { ImageModelV2 } from '@ai-sdk/provider'
import type { LanguageModel, TextStreamPart, ToolSet } from 'ai'
import { type ProviderId } from '../providers/types'
@@ -14,7 +14,7 @@ export type RecursiveCallFn = (newParams: any) => Promise<any>
*/
export interface AiRequestContext {
providerId: ProviderId
model: LanguageModel | ImageModelV3
model: LanguageModel | ImageModelV2
originalParams: any
metadata: Record<string, any>
startTime: number
@@ -36,7 +36,7 @@ export interface AiPlugin {
resolveModel?: (
modelId: string,
context: AiRequestContext
) => Promise<LanguageModel | ImageModelV3 | null> | LanguageModel | ImageModelV3 | null
) => Promise<LanguageModel | ImageModelV2 | null> | LanguageModel | ImageModelV2 | 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
@@ -5,7 +5,7 @@
* 例如: aihubmix:anthropic:claude-3.5-sonnet
*/
import { ProviderV3 as Provider } from '@ai-sdk/provider'
import { ProviderV2 } from '@ai-sdk/provider'
import { customProvider } from 'ai'
import { globalRegistryManagement } from './RegistryManagement'
@@ -47,10 +47,10 @@ function parseHubModelId(modelId: string): { provider: string; actualModelId: st
/**
* Hub Provider
*/
export function createHubProvider(config: HubProviderConfig): Provider {
export function createHubProvider(config: HubProviderConfig): ProviderV2 {
const { hubId } = config
function getTargetProvider(providerId: string): Provider {
function getTargetProvider(providerId: string): ProviderV2 {
// 从全局注册表获取provider实例
try {
const provider = globalRegistryManagement.getProvider(providerId)
@@ -4,15 +4,10 @@
* AI SDK createProviderRegistry
*/
import {
EmbeddingModelV3 as EmbeddingModel,
ImageModelV3 as ImageModel,
LanguageModelV3 as LanguageModel,
ProviderV3 as Provider
} from '@ai-sdk/provider'
import { EmbeddingModelV2, ImageModelV2, LanguageModelV2, ProviderV2 } from '@ai-sdk/provider'
import { createProviderRegistry, type ProviderRegistryProvider } from 'ai'
type PROVIDERS = Record<string, Provider>
type PROVIDERS = Record<string, ProviderV2>
export const DEFAULT_SEPARATOR = '|'
@@ -31,7 +26,7 @@ export class RegistryManagement<SEPARATOR extends string = typeof DEFAULT_SEPARA
/**
* provider
*/
registerProvider(id: string, provider: Provider, aliases?: string[]): this {
registerProvider(id: string, provider: ProviderV2, aliases?: string[]): this {
// 注册主provider
this.providers[id] = provider
@@ -50,14 +45,14 @@ export class RegistryManagement<SEPARATOR extends string = typeof DEFAULT_SEPARA
/**
* provider实例
*/
getProvider(id: string): Provider | undefined {
getProvider(id: string): ProviderV2 | undefined {
return this.providers[id]
}
/**
* providers
*/
registerProviders(providers: Record<string, Provider>): this {
registerProviders(providers: Record<string, ProviderV2>): this {
Object.assign(this.providers, providers)
this.rebuildRegistry()
return this
@@ -111,7 +106,7 @@ export class RegistryManagement<SEPARATOR extends string = typeof DEFAULT_SEPARA
/**
* - AI SDK
*/
languageModel(id: `${string}${SEPARATOR}${string}`): LanguageModel {
languageModel(id: `${string}${SEPARATOR}${string}`): LanguageModelV2 {
if (!this.registry) {
throw new Error('No providers registered')
}
@@ -121,7 +116,7 @@ export class RegistryManagement<SEPARATOR extends string = typeof DEFAULT_SEPARA
/**
* - AI SDK
*/
textEmbeddingModel(id: `${string}${SEPARATOR}${string}`): EmbeddingModel<string> {
textEmbeddingModel(id: `${string}${SEPARATOR}${string}`): EmbeddingModelV2<string> {
if (!this.registry) {
throw new Error('No providers registered')
}
@@ -131,7 +126,7 @@ export class RegistryManagement<SEPARATOR extends string = typeof DEFAULT_SEPARA
/**
* - AI SDK
*/
imageModel(id: `${string}${SEPARATOR}${string}`): ImageModel {
imageModel(id: `${string}${SEPARATOR}${string}`): ImageModelV2 {
if (!this.registry) {
throw new Error('No providers registered')
}
@@ -9,11 +9,11 @@ import { createDeepSeek } from '@ai-sdk/deepseek'
import { createGoogleGenerativeAI } from '@ai-sdk/google'
import { createOpenAI, type OpenAIProviderSettings } from '@ai-sdk/openai'
import { createOpenAICompatible } from '@ai-sdk/openai-compatible'
import { LanguageModelV2, LanguageModelV3 } from '@ai-sdk/provider'
import { LanguageModelV2 } from '@ai-sdk/provider'
import { createXai } from '@ai-sdk/xai'
import { createOpenRouter } from '@openrouter/ai-sdk-provider'
import { customProvider, Provider } from 'ai'
import * as z from 'zod'
import { z } from 'zod'
/**
* Provider IDs
@@ -48,7 +48,7 @@ export const isBaseProvider = (id: ProviderId): id is BaseProviderId => {
type BaseProvider = {
id: BaseProviderId
name: string
creator: (options: any) => Provider | LanguageModelV2 | LanguageModelV3
creator: (options: any) => Provider | LanguageModelV2
supportsImageGeneration: boolean
}
+8 -8
View File
@@ -5,12 +5,12 @@ import { type GoogleGenerativeAIProviderSettings } from '@ai-sdk/google'
import { type OpenAIProviderSettings } from '@ai-sdk/openai'
import { type OpenAICompatibleProviderSettings } from '@ai-sdk/openai-compatible'
import {
EmbeddingModelV3 as EmbeddingModel,
ImageModelV3 as ImageModel,
LanguageModelV3 as LanguageModel,
ProviderV3 as Provider,
SpeechModelV3 as SpeechModel,
TranscriptionModelV3 as TranscriptionModel
EmbeddingModelV2 as EmbeddingModel,
ImageModelV2 as ImageModel,
LanguageModelV2 as LanguageModel,
ProviderV2,
SpeechModelV2 as SpeechModel,
TranscriptionModelV2 as TranscriptionModel
} from '@ai-sdk/provider'
import { type XaiProviderSettings } from '@ai-sdk/xai'
@@ -79,9 +79,9 @@ export const METHOD_MAP = {
embedding: 'textEmbeddingModel',
transcription: 'transcriptionModel',
speech: 'speechModel'
} as const satisfies Record<AiSdkModelType, keyof Provider>
} as const satisfies Record<AiSdkModelType, keyof ProviderV2>
export type AiSdkModelMethodMap = Record<AiSdkModelType, keyof Provider>
export type AiSdkModelMethodMap = Record<AiSdkModelType, keyof ProviderV2>
export type AiSdkModelReturnMap = {
text: LanguageModel
@@ -1,4 +1,4 @@
import { ImageModelV3 } from '@ai-sdk/provider'
import { ImageModelV2 } from '@ai-sdk/provider'
import { experimental_generateImage as aiGenerateImage, NoImageGeneratedError } from 'ai'
import { beforeEach, describe, expect, it, vi } from 'vitest'
@@ -28,7 +28,7 @@ vi.mock('../../providers/RegistryManagement', () => ({
describe('RuntimeExecutor.generateImage', () => {
let executor: RuntimeExecutor<'openai'>
let mockImageModel: ImageModelV3
let mockImageModel: ImageModelV2
let mockGenerateImageResult: any
beforeEach(() => {
@@ -44,7 +44,7 @@ describe('RuntimeExecutor.generateImage', () => {
mockImageModel = {
modelId: 'dall-e-3',
provider: 'openai'
} as ImageModelV3
} as ImageModelV2
// Mock generateImage result
mockGenerateImageResult = {
@@ -256,7 +256,7 @@ describe('RuntimeExecutor.generateImage', () => {
const customImageModel = {
modelId: 'custom-model',
provider: 'openai'
} as ImageModelV3
} as ImageModelV2
const modelResolutionPlugin: AiPlugin = {
name: 'model-resolver',
+9 -9
View File
@@ -2,7 +2,7 @@
*
* AI调用处理
*/
import { ImageModelV3, LanguageModelV2, LanguageModelV3, LanguageModelV3Middleware } from '@ai-sdk/provider'
import { ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import {
experimental_generateImage as _generateImage,
generateObject as _generateObject,
@@ -44,7 +44,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
this.pluginEngine = new PluginEngine(config.providerId, config.plugins || [])
}
private createResolveModelPlugin(middlewares?: LanguageModelV3Middleware[]) {
private createResolveModelPlugin(middlewares?: LanguageModelV2Middleware[]) {
return definePlugin({
name: '_internal_resolveModel',
enforce: 'post',
@@ -84,7 +84,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
async streamText(
params: streamTextParams,
options?: {
middlewares?: LanguageModelV3Middleware[]
middlewares?: LanguageModelV2Middleware[]
}
): Promise<ReturnType<typeof _streamText>> {
const { model } = params
@@ -123,7 +123,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
async generateText(
params: generateTextParams,
options?: {
middlewares?: LanguageModelV3Middleware[]
middlewares?: LanguageModelV2Middleware[]
}
): Promise<ReturnType<typeof _generateText>> {
const { model } = params
@@ -151,7 +151,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
async generateObject(
params: generateObjectParams,
options?: {
middlewares?: LanguageModelV3Middleware[]
middlewares?: LanguageModelV2Middleware[]
}
): Promise<ReturnType<typeof _generateObject>> {
const { model } = params
@@ -179,7 +179,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
streamObject(
params: streamObjectParams,
options?: {
middlewares?: LanguageModelV3Middleware[]
middlewares?: LanguageModelV2Middleware[]
}
): Promise<ReturnType<typeof _streamObject>> {
const { model } = params
@@ -237,8 +237,8 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
*/
private async resolveModel(
modelOrId: LanguageModel,
middlewares?: LanguageModelV3Middleware[]
): Promise<LanguageModelV2 | LanguageModelV3> {
middlewares?: LanguageModelV2Middleware[]
): Promise<LanguageModelV2> {
if (typeof modelOrId === 'string') {
// 🎯 字符串modelId,使用新的ModelResolver解析,传递完整参数
return await globalModelResolver.resolveLanguageModel(
@@ -256,7 +256,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
/**
*
*/
private async resolveImageModel(modelOrId: ImageModelV3 | string): Promise<ImageModelV3> {
private async resolveImageModel(modelOrId: ImageModelV2 | string): Promise<ImageModelV2> {
try {
if (typeof modelOrId === 'string') {
// 字符串modelId,使用新的ModelResolver解析
+5 -5
View File
@@ -11,7 +11,7 @@ export type { RuntimeConfig } from './types'
// === 便捷工厂函数 ===
import { LanguageModelV3Middleware } from '@ai-sdk/provider'
import { LanguageModelV2Middleware } from '@ai-sdk/provider'
import { type AiPlugin } from '../plugins'
import { type ProviderId, type ProviderSettingsMap } from '../providers/types'
@@ -48,7 +48,7 @@ export async function streamText<T extends ProviderId>(
options: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' },
params: Parameters<RuntimeExecutor<T>['streamText']>[0],
plugins?: AiPlugin[],
middlewares?: LanguageModelV3Middleware[]
middlewares?: LanguageModelV2Middleware[]
): Promise<ReturnType<RuntimeExecutor<T>['streamText']>> {
const executor = createExecutor(providerId, options, plugins)
return executor.streamText(params, { middlewares })
@@ -62,7 +62,7 @@ export async function generateText<T extends ProviderId>(
options: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' },
params: Parameters<RuntimeExecutor<T>['generateText']>[0],
plugins?: AiPlugin[],
middlewares?: LanguageModelV3Middleware[]
middlewares?: LanguageModelV2Middleware[]
): Promise<ReturnType<RuntimeExecutor<T>['generateText']>> {
const executor = createExecutor(providerId, options, plugins)
return executor.generateText(params, { middlewares })
@@ -76,7 +76,7 @@ export async function generateObject<T extends ProviderId>(
options: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' },
params: Parameters<RuntimeExecutor<T>['generateObject']>[0],
plugins?: AiPlugin[],
middlewares?: LanguageModelV3Middleware[]
middlewares?: LanguageModelV2Middleware[]
): Promise<ReturnType<RuntimeExecutor<T>['generateObject']>> {
const executor = createExecutor(providerId, options, plugins)
return executor.generateObject(params, { middlewares })
@@ -90,7 +90,7 @@ export async function streamObject<T extends ProviderId>(
options: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' },
params: Parameters<RuntimeExecutor<T>['streamObject']>[0],
plugins?: AiPlugin[],
middlewares?: LanguageModelV3Middleware[]
middlewares?: LanguageModelV2Middleware[]
): Promise<ReturnType<RuntimeExecutor<T>['streamObject']>> {
const executor = createExecutor(providerId, options, plugins)
return executor.streamObject(params, { middlewares })
@@ -1,5 +1,5 @@
/* eslint-disable @eslint-react/naming-convention/context-name */
import { ImageModelV3 } from '@ai-sdk/provider'
import { ImageModelV2 } from '@ai-sdk/provider'
import { experimental_generateImage, generateObject, generateText, LanguageModel, streamObject, streamText } from 'ai'
import { type AiPlugin, createContext, PluginManager } from '../plugins'
@@ -141,16 +141,16 @@ export class PluginEngine<T extends ProviderId = ProviderId> {
* AiExecutor使用
*/
async executeImageWithPlugins<
TParams extends Omit<Parameters<typeof experimental_generateImage>[0], 'model'> & { model: string | ImageModelV3 },
TParams extends Omit<Parameters<typeof experimental_generateImage>[0], 'model'> & { model: string | ImageModelV2 },
TResult extends ReturnType<typeof experimental_generateImage>
>(
methodName: string,
params: TParams,
executor: (model: ImageModelV3, transformedParams: TParams) => TResult,
executor: (model: ImageModelV2, transformedParams: TParams) => TResult,
_context?: ReturnType<typeof createContext>
): Promise<TResult> {
// 统一处理模型解析
let resolvedModel: ImageModelV3 | undefined
let resolvedModel: ImageModelV2 | undefined
let modelId: string
const { model } = params
if (typeof model === 'string') {
@@ -183,7 +183,7 @@ export class PluginEngine<T extends ProviderId = ProviderId> {
// 2. 解析模型(如果是字符串)
if (typeof model === 'string') {
const resolved = await this.pluginManager.executeFirst<ImageModelV3>('resolveModel', modelId, context)
const resolved = await this.pluginManager.executeFirst<ImageModelV2>('resolveModel', modelId, context)
if (!resolved) {
throw new Error(`Failed to resolve image model: ${modelId}`)
}
+2 -2
View File
@@ -1,7 +1,7 @@
/**
* Runtime
*/
import { ImageModelV3 } from '@ai-sdk/provider'
import { ImageModelV2 } from '@ai-sdk/provider'
import { experimental_generateImage, generateObject, generateText, streamObject, streamText } from 'ai'
import { type ModelConfig } from '../models/types'
@@ -18,7 +18,7 @@ export interface RuntimeConfig<T extends ProviderId = ProviderId> {
}
export type generateImageParams = Omit<Parameters<typeof experimental_generateImage>[0], 'model'> & {
model: string | ImageModelV3
model: string | ImageModelV2
}
export type generateObjectParams = Parameters<typeof generateObject>[0]
export type generateTextParams = Parameters<typeof generateText>[0]
+1 -1
View File
@@ -26,7 +26,7 @@ export { PluginEngine } from './core/runtime/pluginEngine'
// ==================== AI SDK 常用类型导出 ====================
// 直接导出 AI SDK 的常用类型,方便使用
export type { LanguageModelV3Middleware, LanguageModelV3StreamPart } from '@ai-sdk/provider'
export type { LanguageModelV2Middleware, LanguageModelV2StreamPart } from '@ai-sdk/provider'
export type { ToolCall } from '@ai-sdk/provider-utils'
export type { ReasoningPart } from '@ai-sdk/provider-utils'
+3 -20
View File
@@ -5,8 +5,8 @@ export enum IpcChannel {
App_SetLanguage = 'app:set-language',
App_SetEnableSpellCheck = 'app:set-enable-spell-check',
App_SetSpellCheckLanguages = 'app:set-spell-check-languages',
App_ShowUpdateDialog = 'app:show-update-dialog',
App_CheckForUpdate = 'app:check-for-update',
App_QuitAndInstall = 'app:quit-and-install',
App_Reload = 'app:reload',
App_Quit = 'app:quit',
App_Info = 'app:info',
@@ -34,7 +34,6 @@ export enum IpcChannel {
App_GetBinaryPath = 'app:get-binary-path',
App_InstallUvBinary = 'app:install-uv-binary',
App_InstallBunBinary = 'app:install-bun-binary',
App_InstallOvmsBinary = 'app:install-ovms-binary',
App_LogToMain = 'app:log-to-main',
App_SaveData = 'app:save-data',
App_GetDiskInfo = 'app:get-disk-info',
@@ -53,7 +52,6 @@ export enum IpcChannel {
Webview_SetOpenLinkExternal = 'webview:set-open-link-external',
Webview_SetSpellCheckEnabled = 'webview:set-spell-check-enabled',
Webview_SearchHotkey = 'webview:search-hotkey',
// Open
Open_Path = 'open:path',
@@ -92,10 +90,6 @@ export enum IpcChannel {
// Python
Python_Execute = 'python:execute',
// agent messages
AgentMessage_PersistExchange = 'agent-message:persist-exchange',
AgentMessage_GetHistory = 'agent-message:get-history',
//copilot
Copilot_GetAuthMessage = 'copilot:get-auth-message',
Copilot_GetCopilotToken = 'copilot:get-copilot-token',
@@ -189,7 +183,6 @@ export enum IpcChannel {
File_ValidateNotesDirectory = 'file:validateNotesDirectory',
File_StartWatcher = 'file:startWatcher',
File_StopWatcher = 'file:stopWatcher',
File_ShowInFolder = 'file:showInFolder',
// file service
FileService_Upload = 'file-service:upload',
@@ -198,6 +191,7 @@ export enum IpcChannel {
FileService_Retrieve = 'file-service:retrieve',
Export_Word = 'export:word',
Export_PDF = 'export:pdf',
Shortcuts_Update = 'shortcuts:update',
@@ -227,7 +221,6 @@ export enum IpcChannel {
// system
System_GetDeviceType = 'system:getDeviceType',
System_GetHostname = 'system:getHostname',
System_GetCpuName = 'system:getCpuName',
// DevTools
System_ToggleDevTools = 'system:toggleDevTools',
@@ -235,6 +228,7 @@ export enum IpcChannel {
// events
BackupProgress = 'backup-progress',
ThemeUpdated = 'theme:updated',
UpdateDownloadedCancelled = 'update-downloaded-cancelled',
RestoreProgress = 'restore-progress',
UpdateError = 'update-error',
UpdateAvailable = 'update-available',
@@ -317,7 +311,6 @@ export enum IpcChannel {
ApiServer_Stop = 'api-server:stop',
ApiServer_Restart = 'api-server:restart',
ApiServer_GetStatus = 'api-server:get-status',
// NOTE: This api is not be used.
ApiServer_GetConfig = 'api-server:get-config',
// Anthropic OAuth
@@ -337,16 +330,6 @@ export enum IpcChannel {
// OCR
OCR_ocr = 'ocr:ocr',
OCR_ListProviders = 'ocr:list-providers',
// OVMS
Ovms_AddModel = 'ovms:add-model',
Ovms_StopAddModel = 'ovms:stop-addmodel',
Ovms_GetModels = 'ovms:get-models',
Ovms_IsRunning = 'ovms:is-running',
Ovms_GetStatus = 'ovms:get-status',
Ovms_RunOVMS = 'ovms:run-ovms',
Ovms_StopOVMS = 'ovms:stop-ovms',
// CherryAI
Cherryai_GetSignature = 'cherryai:get-signature'
@@ -1,12 +0,0 @@
import type { SDKMessage } from '@anthropic-ai/claude-agent-sdk'
import type { ContentBlockParam } from '@anthropic-ai/sdk/resources/messages'
export type ClaudeCodeRawValue =
| {
type: string
session_id: string
slash_commands: string[]
tools: string[]
raw: Extract<SDKMessage, { type: 'system' }>
}
| ContentBlockParam
-170
View File
@@ -1,170 +0,0 @@
/**
* @fileoverview Shared Anthropic AI client utilities for Cherry Studio
*
* This module provides functions for creating Anthropic SDK clients with different
* authentication methods (OAuth, API key) and building Claude Code system messages.
* It supports both standard Anthropic API and Anthropic Vertex AI endpoints.
*
* This shared module can be used by both main and renderer processes.
*/
import Anthropic from '@anthropic-ai/sdk'
import { TextBlockParam } from '@anthropic-ai/sdk/resources'
import { loggerService } from '@logger'
import { Provider } from '@types'
import type { ModelMessage } from 'ai'
const logger = loggerService.withContext('anthropic-sdk')
const defaultClaudeCodeSystemPrompt = `You are Claude Code, Anthropic's official CLI for Claude.`
const defaultClaudeCodeSystem: Array<TextBlockParam> = [
{
type: 'text',
text: defaultClaudeCodeSystemPrompt
}
]
/**
* Creates and configures an Anthropic SDK client based on the provider configuration.
*
* This function supports two authentication methods:
* 1. OAuth: Uses OAuth tokens passed as parameter
* 2. API Key: Uses traditional API key authentication
*
* For OAuth authentication, it includes Claude Code specific headers and beta features.
* For API key authentication, it uses the provider's configuration with custom headers.
*
* @param provider - The provider configuration containing authentication details
* @param oauthToken - Optional OAuth token for OAuth authentication
* @returns An initialized Anthropic or AnthropicVertex client
* @throws Error when OAuth token is not available for OAuth authentication
*
* @example
* ```typescript
* // OAuth authentication
* const oauthProvider = { authType: 'oauth' };
* const oauthClient = getSdkClient(oauthProvider, 'oauth-token-here');
*
* // API key authentication
* const apiKeyProvider = {
* authType: 'apikey',
* apiKey: 'your-api-key',
* apiHost: 'https://api.anthropic.com'
* };
* const apiKeyClient = getSdkClient(apiKeyProvider);
* ```
*/
export function getSdkClient(
provider: Provider,
oauthToken?: string | null,
extraHeaders?: Record<string, string | string[]>
): Anthropic {
if (provider.authType === 'oauth') {
if (!oauthToken) {
throw new Error('OAuth token is not available')
}
return new Anthropic({
authToken: oauthToken,
baseURL: 'https://api.anthropic.com',
dangerouslyAllowBrowser: true,
defaultHeaders: {
'Content-Type': 'application/json',
'anthropic-version': '2023-06-01',
'anthropic-beta':
'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',
'anthropic-dangerous-direct-browser-access': 'true',
'user-agent': 'claude-cli/1.0.118 (external, sdk-ts)',
'x-app': 'cli',
'x-stainless-retry-count': '0',
'x-stainless-timeout': '600',
'x-stainless-lang': 'js',
'x-stainless-package-version': '0.60.0',
'x-stainless-os': 'MacOS',
'x-stainless-arch': 'arm64',
'x-stainless-runtime': 'node',
'x-stainless-runtime-version': 'v22.18.0',
...extraHeaders
}
})
}
const baseURL =
provider.type === 'anthropic'
? provider.apiHost
: (provider.anthropicApiHost && provider.anthropicApiHost.trim()) || provider.apiHost
logger.debug('Anthropic API baseURL', { baseURL, providerId: provider.id })
if (provider.id === 'aihubmix') {
return new Anthropic({
apiKey: provider.apiKey,
baseURL,
dangerouslyAllowBrowser: true,
defaultHeaders: {
'anthropic-beta': 'output-128k-2025-02-19',
'APP-Code': 'MLTG2087',
...provider.extra_headers,
...extraHeaders
}
})
}
return new Anthropic({
apiKey: provider.apiKey,
authToken: provider.apiKey,
baseURL,
dangerouslyAllowBrowser: true,
defaultHeaders: {
'anthropic-beta': 'output-128k-2025-02-19',
...provider.extra_headers
}
})
}
/**
* Builds and prepends the Claude Code system message to user-provided system messages.
*
* This function ensures that all interactions with Claude include the official Claude Code
* system prompt, which identifies the assistant as "Claude Code, Anthropic's official CLI for Claude."
*
* The function handles three cases:
* 1. No system message provided: Returns only the default Claude Code system message
* 2. String system message: Converts to array format and prepends Claude Code message
* 3. Array system message: Checks if Claude Code message exists and prepends if missing
*
* @param system - Optional user-provided system message (string or TextBlockParam array)
* @returns Combined system message with Claude Code prompt prepended
*
* ```
*/
export function buildClaudeCodeSystemMessage(system?: string | Array<TextBlockParam>): Array<TextBlockParam> {
if (!system) {
return defaultClaudeCodeSystem
}
if (typeof system === 'string') {
if (system.trim() === defaultClaudeCodeSystemPrompt || system.trim() === '') {
return defaultClaudeCodeSystem
} else {
return [...defaultClaudeCodeSystem, { type: 'text', text: system }]
}
}
if (Array.isArray(system)) {
const firstSystem = system[0]
if (firstSystem.type === 'text' && firstSystem.text.trim() === defaultClaudeCodeSystemPrompt) {
return system
} else {
return [...defaultClaudeCodeSystem, ...system]
}
}
return defaultClaudeCodeSystem
}
export function buildClaudeCodeSystemModelMessage(system?: string | Array<TextBlockParam>): Array<ModelMessage> {
const textBlocks = buildClaudeCodeSystemMessage(system)
return textBlocks.map((block) => ({
role: 'system',
content: block.text
}))
}
+1 -2
View File
@@ -217,8 +217,7 @@ export enum codeTools {
claudeCode = 'claude-code',
geminiCli = 'gemini-cli',
openaiCodex = 'openai-codex',
iFlowCli = 'iflow-cli',
githubCopilotCli = 'github-copilot-cli'
iFlowCli = 'iflow-cli'
}
export enum terminalApps {
-9
View File
@@ -22,12 +22,3 @@ export type MCPProgressEvent = {
callId: string
progress: number // 0-1 range
}
export type WebviewKeyEvent = {
webviewId: number
key: string
control: boolean
meta: boolean
shift: boolean
alt: boolean
}
@@ -1,53 +0,0 @@
--> statement-breakpoint
CREATE TABLE `migrations` (
`version` integer PRIMARY KEY NOT NULL,
`tag` text NOT NULL,
`executed_at` integer NOT NULL
);
CREATE TABLE `agents` (
`id` text PRIMARY KEY NOT NULL,
`type` text NOT NULL,
`name` text NOT NULL,
`description` text,
`accessible_paths` text,
`instructions` text,
`model` text NOT NULL,
`plan_model` text,
`small_model` text,
`mcps` text,
`allowed_tools` text,
`configuration` text,
`created_at` text NOT NULL,
`updated_at` text NOT NULL
);
--> statement-breakpoint
CREATE TABLE `sessions` (
`id` text PRIMARY KEY NOT NULL,
`agent_type` text NOT NULL,
`agent_id` text NOT NULL,
`name` text NOT NULL,
`description` text,
`accessible_paths` text,
`instructions` text,
`model` text NOT NULL,
`plan_model` text,
`small_model` text,
`mcps` text,
`allowed_tools` text,
`configuration` text,
`created_at` text NOT NULL,
`updated_at` text NOT NULL
);
--> statement-breakpoint
CREATE TABLE `session_messages` (
`id` integer PRIMARY KEY AUTOINCREMENT NOT NULL,
`session_id` text NOT NULL,
`role` text NOT NULL,
`content` text NOT NULL,
`metadata` text,
`created_at` text NOT NULL,
`updated_at` text NOT NULL
);
@@ -1 +0,0 @@
ALTER TABLE `session_messages` ADD `agent_session_id` text DEFAULT '';
@@ -1,331 +0,0 @@
{
"version": "6",
"dialect": "sqlite",
"id": "35efb412-0230-4767-9c76-7b7c4d40369f",
"prevId": "00000000-0000-0000-0000-000000000000",
"tables": {
"agents": {
"name": "agents",
"columns": {
"id": {
"name": "id",
"type": "text",
"primaryKey": true,
"notNull": true,
"autoincrement": false
},
"type": {
"name": "type",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"name": {
"name": "name",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"description": {
"name": "description",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"accessible_paths": {
"name": "accessible_paths",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"instructions": {
"name": "instructions",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"model": {
"name": "model",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"plan_model": {
"name": "plan_model",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"small_model": {
"name": "small_model",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"mcps": {
"name": "mcps",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"allowed_tools": {
"name": "allowed_tools",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"configuration": {
"name": "configuration",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"created_at": {
"name": "created_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"updated_at": {
"name": "updated_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
}
},
"indexes": {},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
},
"session_messages": {
"name": "session_messages",
"columns": {
"id": {
"name": "id",
"type": "integer",
"primaryKey": true,
"notNull": true,
"autoincrement": true
},
"session_id": {
"name": "session_id",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"role": {
"name": "role",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"content": {
"name": "content",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"metadata": {
"name": "metadata",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"created_at": {
"name": "created_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"updated_at": {
"name": "updated_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
}
},
"indexes": {},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
},
"migrations": {
"name": "migrations",
"columns": {
"version": {
"name": "version",
"type": "integer",
"primaryKey": true,
"notNull": true,
"autoincrement": false
},
"tag": {
"name": "tag",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"executed_at": {
"name": "executed_at",
"type": "integer",
"primaryKey": false,
"notNull": true,
"autoincrement": false
}
},
"indexes": {},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
},
"sessions": {
"name": "sessions",
"columns": {
"id": {
"name": "id",
"type": "text",
"primaryKey": true,
"notNull": true,
"autoincrement": false
},
"agent_type": {
"name": "agent_type",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"agent_id": {
"name": "agent_id",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"name": {
"name": "name",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"description": {
"name": "description",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"accessible_paths": {
"name": "accessible_paths",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"instructions": {
"name": "instructions",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"model": {
"name": "model",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"plan_model": {
"name": "plan_model",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"small_model": {
"name": "small_model",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"mcps": {
"name": "mcps",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"allowed_tools": {
"name": "allowed_tools",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"configuration": {
"name": "configuration",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"created_at": {
"name": "created_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"updated_at": {
"name": "updated_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
}
},
"indexes": {},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
}
},
"views": {},
"enums": {},
"_meta": {
"schemas": {},
"tables": {},
"columns": {}
},
"internal": {
"indexes": {}
}
}
@@ -1,339 +0,0 @@
{
"version": "6",
"dialect": "sqlite",
"id": "dabab6db-a2cd-4e96-b06e-6cb87d445a87",
"prevId": "35efb412-0230-4767-9c76-7b7c4d40369f",
"tables": {
"agents": {
"name": "agents",
"columns": {
"id": {
"name": "id",
"type": "text",
"primaryKey": true,
"notNull": true,
"autoincrement": false
},
"type": {
"name": "type",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"name": {
"name": "name",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"description": {
"name": "description",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"accessible_paths": {
"name": "accessible_paths",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"instructions": {
"name": "instructions",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"model": {
"name": "model",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"plan_model": {
"name": "plan_model",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"small_model": {
"name": "small_model",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"mcps": {
"name": "mcps",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"allowed_tools": {
"name": "allowed_tools",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"configuration": {
"name": "configuration",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"created_at": {
"name": "created_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"updated_at": {
"name": "updated_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
}
},
"indexes": {},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
},
"session_messages": {
"name": "session_messages",
"columns": {
"id": {
"name": "id",
"type": "integer",
"primaryKey": true,
"notNull": true,
"autoincrement": true
},
"session_id": {
"name": "session_id",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"role": {
"name": "role",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"content": {
"name": "content",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"agent_session_id": {
"name": "agent_session_id",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false,
"default": "''"
},
"metadata": {
"name": "metadata",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"created_at": {
"name": "created_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"updated_at": {
"name": "updated_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
}
},
"indexes": {},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
},
"migrations": {
"name": "migrations",
"columns": {
"version": {
"name": "version",
"type": "integer",
"primaryKey": true,
"notNull": true,
"autoincrement": false
},
"tag": {
"name": "tag",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"executed_at": {
"name": "executed_at",
"type": "integer",
"primaryKey": false,
"notNull": true,
"autoincrement": false
}
},
"indexes": {},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
},
"sessions": {
"name": "sessions",
"columns": {
"id": {
"name": "id",
"type": "text",
"primaryKey": true,
"notNull": true,
"autoincrement": false
},
"agent_type": {
"name": "agent_type",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"agent_id": {
"name": "agent_id",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"name": {
"name": "name",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"description": {
"name": "description",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"accessible_paths": {
"name": "accessible_paths",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"instructions": {
"name": "instructions",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"model": {
"name": "model",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"plan_model": {
"name": "plan_model",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"small_model": {
"name": "small_model",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"mcps": {
"name": "mcps",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"allowed_tools": {
"name": "allowed_tools",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"configuration": {
"name": "configuration",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"created_at": {
"name": "created_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"updated_at": {
"name": "updated_at",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
}
},
"indexes": {},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
}
},
"views": {},
"enums": {},
"_meta": {
"schemas": {},
"tables": {},
"columns": {}
},
"internal": {
"indexes": {}
}
}
@@ -1,20 +0,0 @@
{
"version": "7",
"dialect": "sqlite",
"entries": [
{
"idx": 0,
"version": "6",
"when": 1758091173882,
"tag": "0000_confused_wendigo",
"breakpoints": true
},
{
"idx": 1,
"version": "6",
"when": 1758187378775,
"tag": "0001_woozy_captain_flint",
"breakpoints": true
}
]
}
+1 -38
View File
@@ -1,7 +1,5 @@
const https = require('https')
const fs = require('fs')
const path = require('path')
const { execSync } = require('child_process')
/**
* Downloads a file from a URL with redirect handling
@@ -34,39 +32,4 @@ async function downloadWithRedirects(url, destinationPath) {
})
}
/**
* Downloads a file using PowerShell Invoke-WebRequest command
* @param {string} url The URL to download from
* @param {string} destinationPath The path to save the file to
* @returns {Promise<boolean>} Promise that resolves to true if download succeeds
*/
async function downloadWithPowerShell(url, destinationPath) {
return new Promise((resolve, reject) => {
try {
// Only support windows platform for PowerShell download
if (process.platform !== 'win32') {
return reject(new Error('PowerShell download is only supported on Windows'))
}
const outputDir = path.dirname(destinationPath)
fs.mkdirSync(outputDir, { recursive: true })
// PowerShell command to download the file with progress disabled for faster download
const psCommand = `powershell -Command "$ProgressPreference = 'SilentlyContinue'; Invoke-WebRequest '${url}' -OutFile '${destinationPath}'"`
console.log(`Downloading with PowerShell: ${url}`)
execSync(psCommand, { stdio: 'inherit' })
if (fs.existsSync(destinationPath)) {
console.log(`Download completed: ${destinationPath}`)
resolve(true)
} else {
reject(new Error('Download failed: File not found after download'))
}
} catch (error) {
reject(new Error(`PowerShell download failed: ${error.message}`))
}
})
}
module.exports = { downloadWithRedirects, downloadWithPowerShell }
module.exports = { downloadWithRedirects }
-263
View File
@@ -1,263 +0,0 @@
const fs = require('fs')
const path = require('path')
const os = require('os')
const { execSync } = require('child_process')
const { downloadWithPowerShell } = require('./download')
// Base URL for downloading OVMS binaries
const OVMS_RELEASE_BASE_URL =
'https://storage.openvinotoolkit.org/repositories/openvino_model_server/packages/2025.3.0/ovms_windows_python_on.zip'
const OVMS_EX_URL = 'https://gitcode.com/gcw_ggDjjkY3/kjfile/releases/download/download/ovms_25.3_ex.zip'
/**
* error code:
* 101: Unsupported CPU (not Intel Ultra)
* 102: Unsupported platform (not Windows)
* 103: Download failed
* 104: Installation failed
* 105: Failed to create ovdnd.exe
* 106: Failed to create run.bat
* 110: Cleanup of old installation failed
*/
/**
* Clean old OVMS installation if it exists
*/
function cleanOldOvmsInstallation() {
console.log('Cleaning the existing OVMS installation...')
const csDir = path.join(os.homedir(), '.cherrystudio')
const csOvmsDir = path.join(csDir, 'ovms')
if (fs.existsSync(csOvmsDir)) {
try {
fs.rmSync(csOvmsDir, { recursive: true })
} catch (error) {
console.warn(`Failed to clean up old OVMS installation: ${error.message}`)
return 110
}
}
return 0
}
/**
* Install OVMS Base package
*/
async function installOvmsBase() {
// Download the base package
const tempdir = os.tmpdir()
const tempFilename = path.join(tempdir, 'ovms.zip')
try {
console.log(`Downloading OVMS Base Package from ${OVMS_RELEASE_BASE_URL} to ${tempFilename}...`)
// Try PowerShell download first, fallback to Node.js download if it fails
await downloadWithPowerShell(OVMS_RELEASE_BASE_URL, tempFilename)
console.log(`Successfully downloaded from: ${OVMS_RELEASE_BASE_URL}`)
} catch (error) {
console.error(`Download OVMS Base failed: ${error.message}`)
fs.unlinkSync(tempFilename)
return 103
}
// unzip the base package to the target directory
const csDir = path.join(os.homedir(), '.cherrystudio')
const csOvmsDir = path.join(csDir, 'ovms')
fs.mkdirSync(csOvmsDir, { recursive: true })
try {
// Use tar.exe to extract the ZIP file
console.log(`Extracting OVMS Base to ${csOvmsDir}...`)
execSync(`tar -xf ${tempFilename} -C ${csOvmsDir}`, { stdio: 'inherit' })
console.log(`OVMS extracted to ${csOvmsDir}`)
// Clean up temporary file
fs.unlinkSync(tempFilename)
console.log(`Installation directory: ${csDir}`)
} catch (error) {
console.error(`Error installing OVMS: ${error.message}`)
fs.unlinkSync(tempFilename)
return 104
}
const csOvmsBinDir = path.join(csOvmsDir, 'ovms')
// copy ovms.exe to ovdnd.exe
try {
fs.copyFileSync(path.join(csOvmsBinDir, 'ovms.exe'), path.join(csOvmsBinDir, 'ovdnd.exe'))
console.log('Copied ovms.exe to ovdnd.exe')
} catch (error) {
console.error(`Error copying ovms.exe to ovdnd.exe: ${error.message}`)
return 105
}
// copy {csOvmsBinDir}/setupvars.bat to {csOvmsBinDir}/run.bat, and append the following lines to run.bat:
// del %USERPROFILE%\.cherrystudio\ovms_log.log
// ovms.exe --config_path models/config.json --rest_port 8000 --log_level DEBUG --log_path %USERPROFILE%\.cherrystudio\ovms_log.log
const runBatPath = path.join(csOvmsBinDir, 'run.bat')
try {
fs.copyFileSync(path.join(csOvmsBinDir, 'setupvars.bat'), runBatPath)
fs.appendFileSync(runBatPath, '\r\n')
fs.appendFileSync(runBatPath, 'del %USERPROFILE%\\.cherrystudio\\ovms_log.log\r\n')
fs.appendFileSync(
runBatPath,
'ovms.exe --config_path models/config.json --rest_port 8000 --log_level DEBUG --log_path %USERPROFILE%\\.cherrystudio\\ovms_log.log\r\n'
)
console.log(`Created run.bat at: ${runBatPath}`)
} catch (error) {
console.error(`Error creating run.bat: ${error.message}`)
return 106
}
// create {csOvmsBinDir}/models/config.json with content '{"model_config_list": []}'
const configJsonPath = path.join(csOvmsBinDir, 'models', 'config.json')
fs.mkdirSync(path.dirname(configJsonPath), { recursive: true })
fs.writeFileSync(configJsonPath, '{"mediapipe_config_list":[],"model_config_list":[]}')
console.log(`Created config file: ${configJsonPath}`)
return 0
}
/**
* Install OVMS Extra package
*/
async function installOvmsExtra() {
// Download the extra package
const tempdir = os.tmpdir()
const tempFilename = path.join(tempdir, 'ovms_ex.zip')
try {
console.log(`Downloading OVMS Extra Package from ${OVMS_EX_URL} to ${tempFilename}...`)
// Try PowerShell download first, fallback to Node.js download if it fails
await downloadWithPowerShell(OVMS_EX_URL, tempFilename)
console.log(`Successfully downloaded from: ${OVMS_EX_URL}`)
} catch (error) {
console.error(`Download OVMS Extra failed: ${error.message}`)
fs.unlinkSync(tempFilename)
return 103
}
// unzip the extra package to the target directory
const csDir = path.join(os.homedir(), '.cherrystudio')
const csOvmsDir = path.join(csDir, 'ovms')
try {
// Use tar.exe to extract the ZIP file
console.log(`Extracting OVMS Extra to ${csOvmsDir}...`)
execSync(`tar -xf ${tempFilename} -C ${csOvmsDir}`, { stdio: 'inherit' })
console.log(`OVMS extracted to ${csOvmsDir}`)
// Clean up temporary file
fs.unlinkSync(tempFilename)
console.log(`Installation directory: ${csDir}`)
} catch (error) {
console.error(`Error installing OVMS Extra: ${error.message}`)
fs.unlinkSync(tempFilename)
return 104
}
// apply ovms patch, copy all files in {csOvmsDir}/patch/ovms to {csOvmsDir}/ovms with overwrite mode
const patchDir = path.join(csOvmsDir, 'patch', 'ovms')
const csOvmsBinDir = path.join(csOvmsDir, 'ovms')
try {
const files = fs.readdirSync(patchDir)
files.forEach((file) => {
const srcPath = path.join(patchDir, file)
const destPath = path.join(csOvmsBinDir, file)
fs.copyFileSync(srcPath, destPath)
console.log(`Applied patch file: ${file}`)
})
} catch (error) {
console.error(`Error applying OVMS patch: ${error.message}`)
}
return 0
}
/**
* Get the CPU Name and ID
*/
function getCpuInfo() {
const cpuInfo = {
name: '',
id: ''
}
// Use PowerShell to get CPU information
try {
const psCommand = `powershell -Command "Get-CimInstance -ClassName Win32_Processor | Select-Object Name, DeviceID | ConvertTo-Json"`
const psOutput = execSync(psCommand).toString()
const cpuData = JSON.parse(psOutput)
if (Array.isArray(cpuData)) {
cpuInfo.name = cpuData[0].Name || ''
cpuInfo.id = cpuData[0].DeviceID || ''
} else {
cpuInfo.name = cpuData.Name || ''
cpuInfo.id = cpuData.DeviceID || ''
}
} catch (error) {
console.error(`Failed to get CPU info: ${error.message}`)
}
return cpuInfo
}
/**
* Main function to install OVMS
*/
async function installOvms() {
const platform = os.platform()
console.log(`Detected platform: ${platform}`)
const cpuName = getCpuInfo().name
console.log(`CPU Name: ${cpuName}`)
// Check if CPU name contains "Ultra"
if (!cpuName.toLowerCase().includes('intel') || !cpuName.toLowerCase().includes('ultra')) {
console.error('OVMS installation requires an Intel(R) Core(TM) Ultra CPU.')
return 101
}
// only support windows
if (platform !== 'win32') {
console.error('OVMS installation is only supported on Windows.')
return 102
}
// Clean old installation if it exists
const cleanupCode = cleanOldOvmsInstallation()
if (cleanupCode !== 0) {
console.error(`OVMS cleanup failed with code: ${cleanupCode}`)
return cleanupCode
}
const installBaseCode = await installOvmsBase()
if (installBaseCode !== 0) {
console.error(`OVMS Base installation failed with code: ${installBaseCode}`)
cleanOldOvmsInstallation()
return installBaseCode
}
const installExtraCode = await installOvmsExtra()
if (installExtraCode !== 0) {
console.error(`OVMS Extra installation failed with code: ${installExtraCode}`)
return installExtraCode
}
return 0
}
// Run the installation
installOvms()
.then((retcode) => {
if (retcode === 0) {
console.log('OVMS installation successful')
} else {
console.error('OVMS installation failed')
}
process.exit(retcode)
})
.catch((error) => {
console.error('OVMS installation failed:', error)
process.exit(100)
})
+2 -6
View File
@@ -2,16 +2,15 @@
* baseLocale以外的文本[to be translated]
*
*/
import OpenAI from '@cherrystudio/openai'
import cliProgress from 'cli-progress'
import * as fs from 'fs'
import OpenAI from 'openai'
import * as path from 'path'
const localesDir = path.join(__dirname, '../src/renderer/src/i18n/locales')
const translateDir = path.join(__dirname, '../src/renderer/src/i18n/translate')
const baseLocale = process.env.BASE_LOCALE ?? 'zh-cn'
const baseLocale = 'zh-cn'
const baseFileName = `${baseLocale}.json`
const baseLocalePath = path.join(__dirname, '../src/renderer/src/i18n/locales', baseFileName)
type I18NValue = string | { [key: string]: I18NValue }
type I18N = { [key: string]: I18NValue }
@@ -106,9 +105,6 @@ const translateRecursively = async (originObj: I18N, systemPrompt: string): Prom
}
const main = async () => {
if (!fs.existsSync(baseLocalePath)) {
throw new Error(`${baseLocalePath} not found.`)
}
const localeFiles = fs
.readdirSync(localesDir)
.filter((file) => file.endsWith('.json') && file !== baseFileName)
+13 -27
View File
@@ -35,9 +35,6 @@ const allX64 = {
'@napi-rs/system-ocr-win32-x64-msvc': '1.0.2'
}
const claudeCodeVenderPath = '@anthropic-ai/claude-agent-sdk/vendor'
const claudeCodeVenders = ['arm64-darwin', 'arm64-linux', 'x64-darwin', 'x64-linux', 'x64-win32']
const platformToArch = {
mac: 'darwin',
windows: 'win32',
@@ -49,6 +46,9 @@ exports.default = async function (context) {
const archType = arch === Arch.arm64 ? 'arm64' : 'x64'
const platform = context.packager.platform.name
const arm64Filters = Object.keys(allArm64).map((f) => '!node_modules/' + f + '/**')
const x64Filters = Object.keys(allX64).map((f) => '!node_modules/' + f + '/*')
const downloadPackages = async (packages) => {
console.log('downloading packages ......')
const downloadPromises = []
@@ -67,39 +67,25 @@ exports.default = async function (context) {
await Promise.all(downloadPromises)
}
const changeFilters = async (filtersToExclude, filtersToInclude) => {
const changeFilters = async (packages, filtersToExclude, filtersToInclude) => {
await downloadPackages(packages)
// remove filters for the target architecture (allow inclusion)
let filters = context.packager.config.files[0].filter
filters = filters.filter((filter) => !filtersToInclude.includes(filter))
// add filters for other architectures (exclude them)
filters.push(...filtersToExclude)
context.packager.config.files[0].filter = filters
}
await downloadPackages(arch === Arch.arm64 ? allArm64 : allX64)
const arm64Filters = Object.keys(allArm64).map((f) => '!node_modules/' + f + '/**')
const x64Filters = Object.keys(allX64).map((f) => '!node_modules/' + f + '/*')
const excludeClaudeCodeRipgrepFilters = claudeCodeVenders
.filter((f) => f !== `${archType}-${platformToArch[platform]}`)
.map((f) => '!node_modules/' + claudeCodeVenderPath + '/ripgrep/' + f + '/**')
const excludeClaudeCodeJBPlutins = ['!node_modules/' + claudeCodeVenderPath + '/' + 'claude-code-jetbrains-plugin']
const includeClaudeCodeFilters = [
'!node_modules/' + claudeCodeVenderPath + '/ripgrep/' + `${archType}-${platformToArch[platform]}/**`
]
if (arch === Arch.arm64) {
await changeFilters(
[...x64Filters, ...excludeClaudeCodeRipgrepFilters, ...excludeClaudeCodeJBPlutins],
[...arm64Filters, ...includeClaudeCodeFilters]
)
} else {
await changeFilters(
[...arm64Filters, ...excludeClaudeCodeRipgrepFilters, ...excludeClaudeCodeJBPlutins],
[...x64Filters, ...includeClaudeCodeFilters]
)
await changeFilters(allArm64, x64Filters, arm64Filters)
return
}
if (arch === Arch.x64) {
await changeFilters(allX64, arm64Filters, x64Filters)
return
}
}
+1 -1
View File
@@ -4,7 +4,7 @@ import * as path from 'path'
import { sortedObjectByKeys } from './sort'
const translationsDir = path.join(__dirname, '../src/renderer/src/i18n/locales')
const baseLocale = process.env.BASE_LOCALE ?? 'zh-cn'
const baseLocale = 'zh-cn'
const baseFileName = `${baseLocale}.json`
const baseFilePath = path.join(translationsDir, baseFileName)
+1 -1
View File
@@ -5,7 +5,7 @@ import { sortedObjectByKeys } from './sort'
const localesDir = path.join(__dirname, '../src/renderer/src/i18n/locales')
const translateDir = path.join(__dirname, '../src/renderer/src/i18n/translate')
const baseLocale = process.env.BASE_LOCALE ?? 'zh-cn'
const baseLocale = 'zh-cn'
const baseFileName = `${baseLocale}.json`
const baseFilePath = path.join(localesDir, baseFileName)
+1 -1
View File
@@ -4,9 +4,9 @@
* API_KEY=sk-xxxx BASE_URL=xxxx MODEL=xxxx ts-node scripts/update-i18n.ts
*/
import OpenAI from '@cherrystudio/openai'
import cliProgress from 'cli-progress'
import fs from 'fs'
import OpenAI from 'openai'
type I18NValue = string | { [key: string]: I18NValue }
type I18N = { [key: string]: I18NValue }
+9 -29
View File
@@ -3,42 +3,23 @@ import cors from 'cors'
import express from 'express'
import { v4 as uuidv4 } from 'uuid'
import { LONG_POLL_TIMEOUT_MS } from './config/timeouts'
import { authMiddleware } from './middleware/auth'
import { errorHandler } from './middleware/error'
import { setupOpenAPIDocumentation } from './middleware/openapi'
import { agentsRoutes } from './routes/agents'
import { chatRoutes } from './routes/chat'
import { mcpRoutes } from './routes/mcp'
import { messagesProviderRoutes, messagesRoutes } from './routes/messages'
import { modelsRoutes } from './routes/models'
const logger = loggerService.withContext('ApiServer')
const extendMessagesTimeout: express.RequestHandler = (req, res, next) => {
req.setTimeout(LONG_POLL_TIMEOUT_MS)
res.setTimeout(LONG_POLL_TIMEOUT_MS)
next()
}
const app = express()
app.use(
express.json({
limit: '50mb'
})
)
// Global middleware
app.use((req, res, next) => {
const start = Date.now()
res.on('finish', () => {
const duration = Date.now() - start
logger.info('API request completed', {
method: req.method,
path: req.path,
statusCode: res.statusCode,
durationMs: duration
})
logger.info(`${req.method} ${req.path} - ${res.statusCode} - ${duration}ms`)
})
next()
})
@@ -120,28 +101,27 @@ app.get('/', (_req, res) => {
name: 'Cherry Studio API',
version: '1.0.0',
endpoints: {
health: 'GET /health'
health: 'GET /health',
models: 'GET /v1/models',
chat: 'POST /v1/chat/completions',
mcp: 'GET /v1/mcps'
}
})
})
// Setup OpenAPI documentation before protected routes so docs remain public
setupOpenAPIDocumentation(app)
// Provider-specific messages route requires authentication
app.use('/:provider/v1/messages', authMiddleware, extendMessagesTimeout, messagesProviderRoutes)
// API v1 routes with auth
const apiRouter = express.Router()
apiRouter.use(authMiddleware)
apiRouter.use(express.json())
// Mount routes
apiRouter.use('/chat', chatRoutes)
apiRouter.use('/mcps', mcpRoutes)
apiRouter.use('/messages', extendMessagesTimeout, messagesRoutes)
apiRouter.use('/models', modelsRoutes)
apiRouter.use('/agents', agentsRoutes)
app.use('/v1', apiRouter)
// Setup OpenAPI documentation
setupOpenAPIDocumentation(app)
// Error handling (must be last)
app.use(errorHandler)
+1 -1
View File
@@ -36,7 +36,7 @@ class ConfigManager {
}
return this._config
} catch (error: any) {
logger.warn('Failed to load config from Redux, using defaults', { error })
logger.warn('Failed to load config from Redux, using defaults:', error)
this._config = {
enabled: false,
port: defaultPort,
-3
View File
@@ -1,3 +0,0 @@
export const LONG_POLL_TIMEOUT_MS = 120 * 60_000 // 120 minutes
export const MESSAGE_STREAM_TIMEOUT_MS = LONG_POLL_TIMEOUT_MS
@@ -1,368 +0,0 @@
import type { NextFunction, Request, Response } from 'express'
import { beforeEach, describe, expect, it, vi } from 'vitest'
import { config } from '../../config'
import { authMiddleware } from '../auth'
// Mock the config module
vi.mock('../../config', () => ({
config: {
get: vi.fn()
}
}))
// Mock the logger
vi.mock('@logger', () => ({
loggerService: {
withContext: vi.fn(() => ({
debug: vi.fn()
}))
}
}))
const mockConfig = config as any
describe('authMiddleware', () => {
let req: Partial<Request>
let res: Partial<Response>
let next: NextFunction
let jsonMock: ReturnType<typeof vi.fn>
let statusMock: ReturnType<typeof vi.fn>
beforeEach(() => {
jsonMock = vi.fn()
statusMock = vi.fn(() => ({ json: jsonMock }))
req = {
header: vi.fn()
}
res = {
status: statusMock
}
next = vi.fn()
vi.clearAllMocks()
})
describe('Missing credentials', () => {
it('should return 401 when both auth headers are missing', async () => {
;(req.header as any).mockReturnValue('')
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(401)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Unauthorized: missing credentials' })
expect(next).not.toHaveBeenCalled()
})
it('should return 401 when both auth headers are empty strings', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'authorization') return ''
if (header === 'x-api-key') return ''
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(401)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Unauthorized: missing credentials' })
expect(next).not.toHaveBeenCalled()
})
})
describe('Server configuration', () => {
it('should return 403 when API key is not configured', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return 'some-key'
return ''
})
mockConfig.get.mockResolvedValue({ apiKey: '' })
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(403)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Forbidden' })
expect(next).not.toHaveBeenCalled()
})
it('should return 403 when API key is null', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return 'some-key'
return ''
})
mockConfig.get.mockResolvedValue({ apiKey: null })
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(403)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Forbidden' })
expect(next).not.toHaveBeenCalled()
})
})
describe('API Key authentication (priority)', () => {
const validApiKey = 'valid-api-key-123'
beforeEach(() => {
mockConfig.get.mockResolvedValue({ apiKey: validApiKey })
})
it('should authenticate successfully with valid API key', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return validApiKey
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(next).toHaveBeenCalled()
expect(statusMock).not.toHaveBeenCalled()
})
it('should return 403 with invalid API key', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return 'invalid-key'
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(403)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Forbidden' })
expect(next).not.toHaveBeenCalled()
})
it('should return 401 with empty API key', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return ' '
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(401)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Unauthorized: empty x-api-key' })
expect(next).not.toHaveBeenCalled()
})
it('should handle API key with whitespace', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return ` ${validApiKey} `
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(next).toHaveBeenCalled()
expect(statusMock).not.toHaveBeenCalled()
})
it('should prioritize API key over Bearer token when both are present', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return validApiKey
if (header === 'authorization') return 'Bearer invalid-token'
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(next).toHaveBeenCalled()
expect(statusMock).not.toHaveBeenCalled()
})
it('should return 403 when API key is invalid even if Bearer token is valid', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return 'invalid-key'
if (header === 'authorization') return `Bearer ${validApiKey}`
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(403)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Forbidden' })
expect(next).not.toHaveBeenCalled()
})
})
describe('Bearer token authentication (fallback)', () => {
const validApiKey = 'valid-api-key-123'
beforeEach(() => {
mockConfig.get.mockResolvedValue({ apiKey: validApiKey })
})
it('should authenticate successfully with valid Bearer token when no API key', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'authorization') return `Bearer ${validApiKey}`
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(next).toHaveBeenCalled()
expect(statusMock).not.toHaveBeenCalled()
})
it('should return 403 with invalid Bearer token', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'authorization') return 'Bearer invalid-token'
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(403)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Forbidden' })
expect(next).not.toHaveBeenCalled()
})
it('should return 401 with malformed authorization header', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'authorization') return 'Basic sometoken'
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(401)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Unauthorized: invalid authorization format' })
expect(next).not.toHaveBeenCalled()
})
it('should return 401 with Bearer without space', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'authorization') return 'Bearer'
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(401)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Unauthorized: invalid authorization format' })
expect(next).not.toHaveBeenCalled()
})
it('should handle Bearer token with only trailing spaces (edge case)', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'authorization') return 'Bearer ' // This will be trimmed to "Bearer" and fail format check
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(401)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Unauthorized: invalid authorization format' })
expect(next).not.toHaveBeenCalled()
})
it('should handle Bearer token with case insensitive prefix', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'authorization') return `bearer ${validApiKey}`
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(next).toHaveBeenCalled()
expect(statusMock).not.toHaveBeenCalled()
})
it('should handle Bearer token with whitespace', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'authorization') return ` Bearer ${validApiKey} `
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(next).toHaveBeenCalled()
expect(statusMock).not.toHaveBeenCalled()
})
})
describe('Edge cases', () => {
const validApiKey = 'valid-api-key-123'
beforeEach(() => {
mockConfig.get.mockResolvedValue({ apiKey: validApiKey })
})
it('should handle config.get() rejection', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return validApiKey
return ''
})
mockConfig.get.mockRejectedValue(new Error('Config error'))
await expect(authMiddleware(req as Request, res as Response, next)).rejects.toThrow('Config error')
})
it('should use timing-safe comparison for different length tokens', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return 'short'
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(403)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Forbidden' })
expect(next).not.toHaveBeenCalled()
})
it('should return 401 when neither credential format is valid', async () => {
;(req.header as any).mockImplementation((header: string) => {
if (header === 'authorization') return 'Invalid format'
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(401)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Unauthorized: invalid authorization format' })
expect(next).not.toHaveBeenCalled()
})
})
describe('Timing attack protection', () => {
const validApiKey = 'valid-api-key-123'
beforeEach(() => {
mockConfig.get.mockResolvedValue({ apiKey: validApiKey })
})
it('should handle similar length but different API keys securely', async () => {
const similarKey = 'valid-api-key-124' // Same length, different last char
;(req.header as any).mockImplementation((header: string) => {
if (header === 'x-api-key') return similarKey
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(403)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Forbidden' })
expect(next).not.toHaveBeenCalled()
})
it('should handle similar length but different Bearer tokens securely', async () => {
const similarKey = 'valid-api-key-124' // Same length, different last char
;(req.header as any).mockImplementation((header: string) => {
if (header === 'authorization') return `Bearer ${similarKey}`
return ''
})
await authMiddleware(req as Request, res as Response, next)
expect(statusMock).toHaveBeenCalledWith(403)
expect(jsonMock).toHaveBeenCalledWith({ error: 'Forbidden' })
expect(next).not.toHaveBeenCalled()
})
})
})
+41 -45
View File
@@ -3,17 +3,8 @@ import { NextFunction, Request, Response } from 'express'
import { config } from '../config'
const isValidToken = (token: string, apiKey: string): boolean => {
if (token.length !== apiKey.length) {
return false
}
const tokenBuf = Buffer.from(token)
const keyBuf = Buffer.from(apiKey)
return crypto.timingSafeEqual(tokenBuf, keyBuf)
}
export const authMiddleware = async (req: Request, res: Response, next: NextFunction) => {
const auth = req.header('authorization') || ''
const auth = req.header('Authorization') || ''
const xApiKey = req.header('x-api-key') || ''
// Fast rejection if neither credential header provided
@@ -21,46 +12,51 @@ export const authMiddleware = async (req: Request, res: Response, next: NextFunc
return res.status(401).json({ error: 'Unauthorized: missing credentials' })
}
const { apiKey } = await config.get()
let token: string | undefined
if (!apiKey) {
return res.status(403).json({ error: 'Forbidden' })
}
// Check API key first (priority)
if (xApiKey) {
const trimmedApiKey = xApiKey.trim()
if (!trimmedApiKey) {
return res.status(401).json({ error: 'Unauthorized: empty x-api-key' })
}
if (isValidToken(trimmedApiKey, apiKey)) {
return next()
} else {
return res.status(403).json({ error: 'Forbidden' })
}
}
// Fallback to Bearer token
// Prefer Bearer if wellformed
if (auth) {
const trimmed = auth.trim()
const bearerPrefix = /^Bearer\s+/i
if (!bearerPrefix.test(trimmed)) {
return res.status(401).json({ error: 'Unauthorized: invalid authorization format' })
}
const token = trimmed.replace(bearerPrefix, '').trim()
if (!token) {
return res.status(401).json({ error: 'Unauthorized: empty bearer token' })
}
if (isValidToken(token, apiKey)) {
return next()
} else {
return res.status(403).json({ error: 'Forbidden' })
if (bearerPrefix.test(trimmed)) {
const candidate = trimmed.replace(bearerPrefix, '').trim()
if (!candidate) {
return res.status(401).json({ error: 'Unauthorized: empty bearer token' })
}
token = candidate
}
}
return res.status(401).json({ error: 'Unauthorized: invalid credentials format' })
// Fallback to x-api-key if token still not resolved
if (!token && xApiKey) {
if (!xApiKey.trim()) {
return res.status(401).json({ error: 'Unauthorized: empty x-api-key' })
}
token = xApiKey.trim()
}
if (!token) {
// At this point we had at least one header, but none yielded a usable token
return res.status(401).json({ error: 'Unauthorized: invalid credentials format' })
}
const { apiKey } = await config.get()
if (!apiKey) {
// If server not configured, treat as forbidden (or could be 500). Choose 403 to avoid leaking config state.
return res.status(403).json({ error: 'Forbidden' })
}
// Timing-safe compare when lengths match, else immediate forbidden
if (token.length !== apiKey.length) {
return res.status(403).json({ error: 'Forbidden' })
}
const tokenBuf = Buffer.from(token)
const keyBuf = Buffer.from(apiKey)
if (!crypto.timingSafeEqual(tokenBuf, keyBuf)) {
return res.status(403).json({ error: 'Forbidden' })
}
return next()
}
+1 -1
View File
@@ -6,7 +6,7 @@ const logger = loggerService.withContext('ApiServerErrorHandler')
// oxlint-disable-next-line @typescript-eslint/no-unused-vars
export const errorHandler = (err: Error, _req: Request, res: Response, _next: NextFunction) => {
logger.error('API server error', { error: err })
logger.error('API Server Error:', err)
// Don't expose internal errors in production
const isDev = process.env.NODE_ENV === 'development'
+4 -5
View File
@@ -197,11 +197,10 @@ export function setupOpenAPIDocumentation(app: Express) {
})
)
logger.info('OpenAPI documentation ready', {
docsPath: '/api-docs',
specPath: '/api-docs.json'
})
logger.info('OpenAPI documentation setup complete')
logger.info('Documentation available at /api-docs')
logger.info('OpenAPI spec available at /api-docs.json')
} catch (error) {
logger.error('Failed to setup OpenAPI documentation', { error })
logger.error('Failed to setup OpenAPI documentation:', error as Error)
}
}
@@ -1,583 +0,0 @@
import { loggerService } from '@logger'
import { AgentModelValidationError, agentService, sessionService } from '@main/services/agents'
import { ListAgentsResponse, type ReplaceAgentRequest, type UpdateAgentRequest } from '@types'
import { Request, Response } from 'express'
import type { ValidationRequest } from '../validators/zodValidator'
const logger = loggerService.withContext('ApiServerAgentsHandlers')
const modelValidationErrorBody = (error: AgentModelValidationError) => ({
error: {
message: `Invalid ${error.context.field}: ${error.detail.message}`,
type: 'invalid_request_error',
code: error.detail.code
}
})
/**
* @swagger
* /v1/agents:
* post:
* summary: Create a new agent
* description: Creates a new autonomous agent with the specified configuration and automatically
* provisions an initial session that mirrors the agent's settings.
* tags: [Agents]
* requestBody:
* required: true
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/CreateAgentRequest'
* responses:
* 201:
* description: Agent created successfully
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/AgentEntity'
* 400:
* description: Validation error
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
* 500:
* description: Internal server error
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
*/
export const createAgent = async (req: Request, res: Response): Promise<Response> => {
try {
logger.debug('Creating agent')
logger.debug('Agent payload', { body: req.body })
const agent = await agentService.createAgent(req.body)
try {
logger.info('Agent created', { agentId: agent.id })
logger.debug('Creating default session for agent', { agentId: agent.id })
await sessionService.createSession(agent.id, {})
logger.info('Default session created for agent', { agentId: agent.id })
return res.status(201).json(agent)
} catch (sessionError: any) {
logger.error('Failed to create default session for new agent, rolling back agent creation', {
agentId: agent.id,
error: sessionError
})
try {
await agentService.deleteAgent(agent.id)
} catch (rollbackError: any) {
logger.error('Failed to roll back agent after session creation failure', {
agentId: agent.id,
error: rollbackError
})
}
return res.status(500).json({
error: {
message: `Failed to create default session for agent: ${sessionError.message}`,
type: 'internal_error',
code: 'agent_session_creation_failed'
}
})
}
} catch (error: any) {
if (error instanceof AgentModelValidationError) {
logger.warn('Agent model validation error during create', {
agentType: error.context.agentType,
field: error.context.field,
model: error.context.model,
detail: error.detail
})
return res.status(400).json(modelValidationErrorBody(error))
}
logger.error('Error creating agent', { error })
return res.status(500).json({
error: {
message: `Failed to create agent: ${error.message}`,
type: 'internal_error',
code: 'agent_creation_failed'
}
})
}
}
/**
* @swagger
* /v1/agents:
* get:
* summary: List all agents
* description: Retrieves a paginated list of all agents
* tags: [Agents]
* parameters:
* - in: query
* name: limit
* schema:
* type: integer
* minimum: 1
* maximum: 100
* default: 20
* description: Number of agents to return
* - in: query
* name: offset
* schema:
* type: integer
* minimum: 0
* default: 0
* description: Number of agents to skip
* - in: query
* name: sortBy
* schema:
* type: string
* enum: [created_at, updated_at, name]
* default: created_at
* description: Field to sort by
* - in: query
* name: orderBy
* schema:
* type: string
* enum: [asc, desc]
* default: desc
* description: Sort order (asc = ascending, desc = descending)
* responses:
* 200:
* description: List of agents
* content:
* application/json:
* schema:
* type: object
* properties:
* data:
* type: array
* items:
* $ref: '#/components/schemas/AgentEntity'
* total:
* type: integer
* description: Total number of agents
* limit:
* type: integer
* description: Number of agents returned
* offset:
* type: integer
* description: Number of agents skipped
* 400:
* description: Validation error
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
* 500:
* description: Internal server error
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
*/
export const listAgents = async (req: Request, res: Response): Promise<Response> => {
try {
const limit = req.query.limit ? parseInt(req.query.limit as string) : 20
const offset = req.query.offset ? parseInt(req.query.offset as string) : 0
const sortBy = (req.query.sortBy as 'created_at' | 'updated_at' | 'name') || 'created_at'
const orderBy = (req.query.orderBy as 'asc' | 'desc') || 'desc'
logger.debug('Listing agents', { limit, offset, sortBy, orderBy })
const result = await agentService.listAgents({ limit, offset, sortBy, orderBy })
logger.info('Agents listed', {
returned: result.agents.length,
total: result.total,
limit,
offset
})
return res.json({
data: result.agents,
total: result.total,
limit,
offset
} satisfies ListAgentsResponse)
} catch (error: any) {
logger.error('Error listing agents', { error })
return res.status(500).json({
error: {
message: 'Failed to list agents',
type: 'internal_error',
code: 'agent_list_failed'
}
})
}
}
/**
* @swagger
* /v1/agents/{agentId}:
* get:
* summary: Get agent by ID
* description: Retrieves a specific agent by its ID
* tags: [Agents]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* responses:
* 200:
* description: Agent details
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/AgentEntity'
* 404:
* description: Agent not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
* 500:
* description: Internal server error
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
*/
export const getAgent = async (req: Request, res: Response): Promise<Response> => {
try {
const { agentId } = req.params
logger.debug('Getting agent', { agentId })
const agent = await agentService.getAgent(agentId)
if (!agent) {
logger.warn('Agent not found', { agentId })
return res.status(404).json({
error: {
message: 'Agent not found',
type: 'not_found',
code: 'agent_not_found'
}
})
}
logger.info('Agent retrieved', { agentId })
return res.json(agent)
} catch (error: any) {
logger.error('Error getting agent', { error, agentId: req.params.agentId })
return res.status(500).json({
error: {
message: 'Failed to get agent',
type: 'internal_error',
code: 'agent_get_failed'
}
})
}
}
/**
* @swagger
* /v1/agents/{agentId}:
* put:
* summary: Update agent
* description: Updates an existing agent with the provided data
* tags: [Agents]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* requestBody:
* required: true
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/CreateAgentRequest'
* responses:
* 200:
* description: Agent updated successfully
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/AgentEntity'
* 400:
* description: Validation error
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
* 404:
* description: Agent not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
* 500:
* description: Internal server error
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
*/
export const updateAgent = async (req: Request, res: Response): Promise<Response> => {
const { agentId } = req.params
try {
logger.debug('Updating agent', { agentId })
logger.debug('Replace payload', { body: req.body })
const { validatedBody } = req as ValidationRequest
const replacePayload = (validatedBody ?? {}) as ReplaceAgentRequest
const agent = await agentService.updateAgent(agentId, replacePayload, { replace: true })
if (!agent) {
logger.warn('Agent not found for update', { agentId })
return res.status(404).json({
error: {
message: 'Agent not found',
type: 'not_found',
code: 'agent_not_found'
}
})
}
logger.info('Agent updated', { agentId })
return res.json(agent)
} catch (error: any) {
if (error instanceof AgentModelValidationError) {
logger.warn('Agent model validation error during update', {
agentId,
agentType: error.context.agentType,
field: error.context.field,
model: error.context.model,
detail: error.detail
})
return res.status(400).json(modelValidationErrorBody(error))
}
logger.error('Error updating agent', { error, agentId })
return res.status(500).json({
error: {
message: 'Failed to update agent: ' + error.message,
type: 'internal_error',
code: 'agent_update_failed'
}
})
}
}
/**
* @swagger
* /v1/agents/{agentId}:
* patch:
* summary: Partially update agent
* description: Partially updates an existing agent with only the provided fields
* tags: [Agents]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* requestBody:
* required: true
* content:
* application/json:
* schema:
* type: object
* properties:
* name:
* type: string
* description: Agent name
* description:
* type: string
* description: Agent description
* avatar:
* type: string
* description: Agent avatar URL
* instructions:
* type: string
* description: System prompt/instructions
* model:
* type: string
* description: Main model ID
* plan_model:
* type: string
* description: Optional planning model ID
* small_model:
* type: string
* description: Optional small/fast model ID
* tools:
* type: array
* items:
* type: string
* description: Tools
* mcps:
* type: array
* items:
* type: string
* description: MCP tool IDs
* knowledges:
* type: array
* items:
* type: string
* description: Knowledge base IDs
* configuration:
* type: object
* description: Extensible settings
* accessible_paths:
* type: array
* items:
* type: string
* description: Accessible directory paths
* permission_mode:
* type: string
* enum: [readOnly, acceptEdits, bypassPermissions]
* description: Permission mode
* max_steps:
* type: integer
* description: Maximum steps the agent can take
* description: Only include the fields you want to update
* responses:
* 200:
* description: Agent updated successfully
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/AgentEntity'
* 400:
* description: Validation error
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
* 404:
* description: Agent not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
* 500:
* description: Internal server error
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
*/
export const patchAgent = async (req: Request, res: Response): Promise<Response> => {
const { agentId } = req.params
try {
logger.debug('Partially updating agent', { agentId })
logger.debug('Patch payload', { body: req.body })
const { validatedBody } = req as ValidationRequest
const updatePayload = (validatedBody ?? {}) as UpdateAgentRequest
const agent = await agentService.updateAgent(agentId, updatePayload)
if (!agent) {
logger.warn('Agent not found for partial update', { agentId })
return res.status(404).json({
error: {
message: 'Agent not found',
type: 'not_found',
code: 'agent_not_found'
}
})
}
logger.info('Agent patched', { agentId })
return res.json(agent)
} catch (error: any) {
if (error instanceof AgentModelValidationError) {
logger.warn('Agent model validation error during partial update', {
agentId,
agentType: error.context.agentType,
field: error.context.field,
model: error.context.model,
detail: error.detail
})
return res.status(400).json(modelValidationErrorBody(error))
}
logger.error('Error partially updating agent', { error, agentId })
return res.status(500).json({
error: {
message: `Failed to partially update agent: ${error.message}`,
type: 'internal_error',
code: 'agent_patch_failed'
}
})
}
}
/**
* @swagger
* /v1/agents/{agentId}:
* delete:
* summary: Delete agent
* description: Deletes an agent and all associated sessions and logs
* tags: [Agents]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* responses:
* 204:
* description: Agent deleted successfully
* 404:
* description: Agent not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
* 500:
* description: Internal server error
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
*/
export const deleteAgent = async (req: Request, res: Response): Promise<Response> => {
try {
const { agentId } = req.params
logger.debug('Deleting agent', { agentId })
const deleted = await agentService.deleteAgent(agentId)
if (!deleted) {
logger.warn('Agent not found for deletion', { agentId })
return res.status(404).json({
error: {
message: 'Agent not found',
type: 'not_found',
code: 'agent_not_found'
}
})
}
logger.info('Agent deleted', { agentId })
return res.status(204).send()
} catch (error: any) {
logger.error('Error deleting agent', { error, agentId: req.params.agentId })
return res.status(500).json({
error: {
message: 'Failed to delete agent',
type: 'internal_error',
code: 'agent_delete_failed'
}
})
}
}
@@ -1,3 +0,0 @@
export * as agentHandlers from './agents'
export * as messageHandlers from './messages'
export * as sessionHandlers from './sessions'
@@ -1,317 +0,0 @@
import { loggerService } from '@logger'
import { MESSAGE_STREAM_TIMEOUT_MS } from '@main/apiServer/config/timeouts'
import { createStreamAbortController, STREAM_TIMEOUT_REASON } from '@main/apiServer/utils/createStreamAbortController'
import { agentService, sessionMessageService, sessionService } from '@main/services/agents'
import { Request, Response } from 'express'
const logger = loggerService.withContext('ApiServerMessagesHandlers')
// Helper function to verify agent and session exist and belong together
const verifyAgentAndSession = async (agentId: string, sessionId: string) => {
const agentExists = await agentService.agentExists(agentId)
if (!agentExists) {
throw { status: 404, code: 'agent_not_found', message: 'Agent not found' }
}
const session = await sessionService.getSession(agentId, sessionId)
if (!session) {
throw { status: 404, code: 'session_not_found', message: 'Session not found' }
}
if (session.agent_id !== agentId) {
throw { status: 404, code: 'session_not_found', message: 'Session not found for this agent' }
}
return session
}
export const createMessage = async (req: Request, res: Response): Promise<void> => {
let clearAbortTimeout: (() => void) | undefined
try {
const { agentId, sessionId } = req.params
const session = await verifyAgentAndSession(agentId, sessionId)
const messageData = req.body
logger.info('Creating streaming message', { agentId, sessionId })
logger.debug('Streaming message payload', { messageData })
// Set SSE headers
res.setHeader('Content-Type', 'text/event-stream')
res.setHeader('Cache-Control', 'no-cache')
res.setHeader('Connection', 'keep-alive')
res.setHeader('Access-Control-Allow-Origin', '*')
res.setHeader('Access-Control-Allow-Headers', 'Cache-Control')
const {
abortController,
registerAbortHandler,
clearAbortTimeout: helperClearAbortTimeout
} = createStreamAbortController({
timeoutMs: MESSAGE_STREAM_TIMEOUT_MS
})
clearAbortTimeout = helperClearAbortTimeout
const { stream, completion } = await sessionMessageService.createSessionMessage(
session,
messageData,
abortController
)
const reader = stream.getReader()
// Track stream lifecycle so we keep the SSE connection open until persistence finishes
let responseEnded = false
let streamFinished = false
const cleanupAbortTimeout = () => {
clearAbortTimeout?.()
}
const finalizeResponse = () => {
if (responseEnded) {
return
}
if (!streamFinished) {
return
}
responseEnded = true
cleanupAbortTimeout()
try {
// res.write('data: {"type":"finish"}\n\n')
res.write('data: [DONE]\n\n')
} catch (writeError) {
logger.error('Error writing final sentinel to SSE stream', { error: writeError as Error })
}
res.end()
}
/**
* Client Disconnect Detection for Server-Sent Events (SSE)
*
* We monitor multiple HTTP events to reliably detect when a client disconnects
* from the streaming response. This is crucial for:
* - Aborting long-running Claude Code processes
* - Cleaning up resources and preventing memory leaks
* - Avoiding orphaned processes
*
* Event Priority & Behavior:
* 1. res.on('close') - Most common for SSE client disconnects (browser tab close, curl Ctrl+C)
* 2. req.on('aborted') - Explicit request abortion
* 3. req.on('close') - Request object closure (less common with SSE)
*
* When any disconnect event fires, we:
* - Abort the Claude Code SDK process via abortController
* - Clean up event listeners to prevent memory leaks
* - Mark the response as ended to prevent further writes
*/
registerAbortHandler((abortReason) => {
cleanupAbortTimeout()
if (responseEnded) return
responseEnded = true
if (abortReason === STREAM_TIMEOUT_REASON) {
logger.error('Streaming message timeout', { agentId, sessionId })
try {
res.write(
`data: ${JSON.stringify({
type: 'error',
error: {
message: 'Stream timeout',
type: 'timeout_error',
code: 'stream_timeout'
}
})}\n\n`
)
} catch (writeError) {
logger.error('Error writing timeout to SSE stream', { error: writeError })
}
} else if (abortReason === 'Client disconnected') {
logger.info('Streaming client disconnected', { agentId, sessionId })
} else {
logger.warn('Streaming aborted', { agentId, sessionId, reason: abortReason })
}
reader.cancel(abortReason ?? 'stream aborted').catch(() => {})
if (!res.headersSent) {
res.setHeader('Content-Type', 'text/event-stream')
res.setHeader('Cache-Control', 'no-cache')
res.setHeader('Connection', 'keep-alive')
}
if (!res.writableEnded) {
res.end()
}
})
const handleDisconnect = () => {
if (abortController.signal.aborted) return
abortController.abort('Client disconnected')
}
req.on('close', handleDisconnect)
req.on('aborted', handleDisconnect)
res.on('close', handleDisconnect)
const pumpStream = async () => {
try {
while (!responseEnded) {
const { done, value } = await reader.read()
if (done) {
break
}
res.write(`data: ${JSON.stringify(value)}\n\n`)
}
streamFinished = true
finalizeResponse()
} catch (error) {
if (responseEnded) return
logger.error('Error reading agent stream', { error })
try {
res.write(
`data: ${JSON.stringify({
type: 'error',
error: {
message: (error as Error).message || 'Stream processing error',
type: 'stream_error',
code: 'stream_processing_failed'
}
})}\n\n`
)
} catch (writeError) {
logger.error('Error writing stream error to SSE', { error: writeError })
}
responseEnded = true
cleanupAbortTimeout()
res.end()
}
}
pumpStream().catch((error) => {
logger.error('Pump stream failure', { error })
})
completion
.then(() => {
streamFinished = true
finalizeResponse()
})
.catch((error) => {
if (responseEnded) return
logger.error('Streaming message error', { agentId, sessionId, error })
try {
res.write(
`data: ${JSON.stringify({
type: 'error',
error: {
message: (error as { message?: string })?.message || 'Stream processing error',
type: 'stream_error',
code: 'stream_processing_failed'
}
})}\n\n`
)
} catch (writeError) {
logger.error('Error writing completion error to SSE stream', { error: writeError })
}
responseEnded = true
cleanupAbortTimeout()
res.end()
})
// Clear timeout when response ends
res.on('close', cleanupAbortTimeout)
res.on('finish', cleanupAbortTimeout)
} catch (error: any) {
clearAbortTimeout?.()
logger.error('Error in streaming message handler', {
error,
agentId: req.params.agentId,
sessionId: req.params.sessionId
})
// Send error as SSE if possible
if (!res.headersSent) {
res.setHeader('Content-Type', 'text/event-stream')
res.setHeader('Cache-Control', 'no-cache')
res.setHeader('Connection', 'keep-alive')
}
try {
const errorResponse = {
type: 'error',
error: {
message: error.status ? error.message : 'Failed to create streaming message',
type: error.status ? 'not_found' : 'internal_error',
code: error.status ? error.code : 'stream_creation_failed'
}
}
res.write(`data: ${JSON.stringify(errorResponse)}\n\n`)
} catch (writeError) {
logger.error('Error writing initial error to SSE stream', { error: writeError })
}
res.end()
}
}
export const deleteMessage = async (req: Request, res: Response): Promise<Response> => {
try {
const { agentId, sessionId, messageId: messageIdParam } = req.params
const messageId = Number(messageIdParam)
await verifyAgentAndSession(agentId, sessionId)
const deleted = await sessionMessageService.deleteSessionMessage(sessionId, messageId)
if (!deleted) {
logger.warn('Session message not found', { agentId, sessionId, messageId })
return res.status(404).json({
error: {
message: 'Message not found for this session',
type: 'not_found',
code: 'session_message_not_found'
}
})
}
logger.info('Session message deleted', { agentId, sessionId, messageId })
return res.status(204).send()
} catch (error: any) {
if (error?.status === 404) {
logger.warn('Delete message failed - missing resource', {
agentId: req.params.agentId,
sessionId: req.params.sessionId,
messageId: req.params.messageId,
error
})
return res.status(404).json({
error: {
message: error.message,
type: 'not_found',
code: error.code ?? 'session_message_not_found'
}
})
}
logger.error('Error deleting session message', {
error,
agentId: req.params.agentId,
sessionId: req.params.sessionId,
messageId: Number(req.params.messageId)
})
return res.status(500).json({
error: {
message: 'Failed to delete session message',
type: 'internal_error',
code: 'session_message_delete_failed'
}
})
}
}
@@ -1,366 +0,0 @@
import { loggerService } from '@logger'
import { AgentModelValidationError, sessionMessageService, sessionService } from '@main/services/agents'
import { ListAgentSessionsResponse, type ReplaceSessionRequest, UpdateSessionResponse } from '@types'
import { Request, Response } from 'express'
import type { ValidationRequest } from '../validators/zodValidator'
const logger = loggerService.withContext('ApiServerSessionsHandlers')
const modelValidationErrorBody = (error: AgentModelValidationError) => ({
error: {
message: `Invalid ${error.context.field}: ${error.detail.message}`,
type: 'invalid_request_error',
code: error.detail.code
}
})
export const createSession = async (req: Request, res: Response): Promise<Response> => {
const { agentId } = req.params
try {
const sessionData = req.body
logger.debug('Creating new session', { agentId })
logger.debug('Session payload', { sessionData })
const session = await sessionService.createSession(agentId, sessionData)
logger.info('Session created', { agentId, sessionId: session?.id })
return res.status(201).json(session)
} catch (error: any) {
if (error instanceof AgentModelValidationError) {
logger.warn('Session model validation error during create', {
agentId,
agentType: error.context.agentType,
field: error.context.field,
model: error.context.model,
detail: error.detail
})
return res.status(400).json(modelValidationErrorBody(error))
}
logger.error('Error creating session', { error, agentId })
return res.status(500).json({
error: {
message: `Failed to create session: ${error.message}`,
type: 'internal_error',
code: 'session_creation_failed'
}
})
}
}
export const listSessions = async (req: Request, res: Response): Promise<Response> => {
const { agentId } = req.params
try {
const limit = req.query.limit ? parseInt(req.query.limit as string) : 20
const offset = req.query.offset ? parseInt(req.query.offset as string) : 0
const status = req.query.status as any
logger.debug('Listing agent sessions', { agentId, limit, offset, status })
const result = await sessionService.listSessions(agentId, { limit, offset })
logger.info('Agent sessions listed', {
agentId,
returned: result.sessions.length,
total: result.total,
limit,
offset
})
return res.json({
data: result.sessions,
total: result.total,
limit,
offset
})
} catch (error: any) {
logger.error('Error listing sessions', { error, agentId })
return res.status(500).json({
error: {
message: 'Failed to list sessions',
type: 'internal_error',
code: 'session_list_failed'
}
})
}
}
export const getSession = async (req: Request, res: Response): Promise<Response> => {
try {
const { agentId, sessionId } = req.params
logger.debug('Getting session', { agentId, sessionId })
const session = await sessionService.getSession(agentId, sessionId)
if (!session) {
logger.warn('Session not found', { agentId, sessionId })
return res.status(404).json({
error: {
message: 'Session not found',
type: 'not_found',
code: 'session_not_found'
}
})
}
// // Verify session belongs to the agent
// logger.warn(`Session ${sessionId} does not belong to agent ${agentId}`)
// return res.status(404).json({
// error: {
// message: 'Session not found for this agent',
// type: 'not_found',
// code: 'session_not_found'
// }
// })
// }
// Fetch session messages
logger.debug('Fetching session messages', { sessionId })
const { messages } = await sessionMessageService.listSessionMessages(sessionId)
// Add messages to session
const sessionWithMessages = {
...session,
messages: messages
}
logger.info('Session retrieved', { agentId, sessionId, messageCount: messages.length })
return res.json(sessionWithMessages)
} catch (error: any) {
logger.error('Error getting session', { error, agentId: req.params.agentId, sessionId: req.params.sessionId })
return res.status(500).json({
error: {
message: 'Failed to get session',
type: 'internal_error',
code: 'session_get_failed'
}
})
}
}
export const updateSession = async (req: Request, res: Response): Promise<Response> => {
const { agentId, sessionId } = req.params
try {
logger.debug('Updating session', { agentId, sessionId })
logger.debug('Replace payload', { body: req.body })
// First check if session exists and belongs to agent
const existingSession = await sessionService.getSession(agentId, sessionId)
if (!existingSession || existingSession.agent_id !== agentId) {
logger.warn('Session not found for update', { agentId, sessionId })
return res.status(404).json({
error: {
message: 'Session not found for this agent',
type: 'not_found',
code: 'session_not_found'
}
})
}
const { validatedBody } = req as ValidationRequest
const replacePayload = (validatedBody ?? {}) as ReplaceSessionRequest
const session = await sessionService.updateSession(agentId, sessionId, replacePayload)
if (!session) {
logger.warn('Session missing during update', { agentId, sessionId })
return res.status(404).json({
error: {
message: 'Session not found',
type: 'not_found',
code: 'session_not_found'
}
})
}
logger.info('Session updated', { agentId, sessionId })
return res.json(session satisfies UpdateSessionResponse)
} catch (error: any) {
if (error instanceof AgentModelValidationError) {
logger.warn('Session model validation error during update', {
agentId,
sessionId,
agentType: error.context.agentType,
field: error.context.field,
model: error.context.model,
detail: error.detail
})
return res.status(400).json(modelValidationErrorBody(error))
}
logger.error('Error updating session', { error, agentId, sessionId })
return res.status(500).json({
error: {
message: `Failed to update session: ${error.message}`,
type: 'internal_error',
code: 'session_update_failed'
}
})
}
}
export const patchSession = async (req: Request, res: Response): Promise<Response> => {
const { agentId, sessionId } = req.params
try {
logger.debug('Patching session', { agentId, sessionId })
logger.debug('Patch payload', { body: req.body })
// First check if session exists and belongs to agent
const existingSession = await sessionService.getSession(agentId, sessionId)
if (!existingSession || existingSession.agent_id !== agentId) {
logger.warn('Session not found for patch', { agentId, sessionId })
return res.status(404).json({
error: {
message: 'Session not found for this agent',
type: 'not_found',
code: 'session_not_found'
}
})
}
const updateSession = { ...existingSession, ...req.body }
const session = await sessionService.updateSession(agentId, sessionId, updateSession)
if (!session) {
logger.warn('Session missing while patching', { agentId, sessionId })
return res.status(404).json({
error: {
message: 'Session not found',
type: 'not_found',
code: 'session_not_found'
}
})
}
logger.info('Session patched', { agentId, sessionId })
return res.json(session)
} catch (error: any) {
if (error instanceof AgentModelValidationError) {
logger.warn('Session model validation error during patch', {
agentId,
sessionId,
agentType: error.context.agentType,
field: error.context.field,
model: error.context.model,
detail: error.detail
})
return res.status(400).json(modelValidationErrorBody(error))
}
logger.error('Error patching session', { error, agentId, sessionId })
return res.status(500).json({
error: {
message: `Failed to patch session, ${error.message}`,
type: 'internal_error',
code: 'session_patch_failed'
}
})
}
}
export const deleteSession = async (req: Request, res: Response): Promise<Response> => {
try {
const { agentId, sessionId } = req.params
logger.debug('Deleting session', { agentId, sessionId })
// First check if session exists and belongs to agent
const existingSession = await sessionService.getSession(agentId, sessionId)
if (!existingSession || existingSession.agent_id !== agentId) {
logger.warn('Session not found for deletion', { agentId, sessionId })
return res.status(404).json({
error: {
message: 'Session not found for this agent',
type: 'not_found',
code: 'session_not_found'
}
})
}
const deleted = await sessionService.deleteSession(agentId, sessionId)
if (!deleted) {
logger.warn('Session missing during delete', { agentId, sessionId })
return res.status(404).json({
error: {
message: 'Session not found',
type: 'not_found',
code: 'session_not_found'
}
})
}
logger.info('Session deleted', { agentId, sessionId })
const { total } = await sessionService.listSessions(agentId, { limit: 1 })
if (total === 0) {
logger.info('No remaining sessions, creating default', { agentId })
try {
const fallbackSession = await sessionService.createSession(agentId, {})
logger.info('Default session created after delete', {
agentId,
sessionId: fallbackSession?.id
})
} catch (recoveryError: any) {
logger.error('Failed to recreate session after deleting last session', {
agentId,
error: recoveryError
})
return res.status(500).json({
error: {
message: `Failed to recreate session after deletion: ${recoveryError.message}`,
type: 'internal_error',
code: 'session_recovery_failed'
}
})
}
}
return res.status(204).send()
} catch (error: any) {
logger.error('Error deleting session', { error, agentId: req.params.agentId, sessionId: req.params.sessionId })
return res.status(500).json({
error: {
message: 'Failed to delete session',
type: 'internal_error',
code: 'session_delete_failed'
}
})
}
}
// Convenience endpoints for sessions without agent context
export const listAllSessions = async (req: Request, res: Response): Promise<Response> => {
try {
const limit = req.query.limit ? parseInt(req.query.limit as string) : 20
const offset = req.query.offset ? parseInt(req.query.offset as string) : 0
const status = req.query.status as any
logger.debug('Listing all sessions', { limit, offset, status })
const result = await sessionService.listSessions(undefined, { limit, offset })
logger.info('Sessions listed', {
returned: result.sessions.length,
total: result.total,
limit,
offset
})
return res.json({
data: result.sessions,
total: result.total,
limit,
offset
} satisfies ListAgentSessionsResponse)
} catch (error: any) {
logger.error('Error listing all sessions', { error })
return res.status(500).json({
error: {
message: 'Failed to list sessions',
type: 'internal_error',
code: 'session_list_failed'
}
})
}
}
-965
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@@ -1,965 +0,0 @@
import express from 'express'
import { agentHandlers, messageHandlers, sessionHandlers } from './handlers'
import { checkAgentExists, handleValidationErrors } from './middleware'
import {
validateAgent,
validateAgentId,
validateAgentReplace,
validateAgentUpdate,
validatePagination,
validateSession,
validateSessionId,
validateSessionMessage,
validateSessionMessageId,
validateSessionReplace,
validateSessionUpdate
} from './validators'
// Create main agents router
const agentsRouter = express.Router()
/**
* @swagger
* components:
* schemas:
* PermissionMode:
* type: string
* enum: [default, acceptEdits, bypassPermissions, plan]
* description: Permission mode for agent operations
*
* AgentType:
* type: string
* enum: [claude-code]
* description: Type of agent
*
* AgentConfiguration:
* type: object
* properties:
* permission_mode:
* $ref: '#/components/schemas/PermissionMode'
* default: default
* max_turns:
* type: integer
* default: 10
* description: Maximum number of interaction turns
* additionalProperties: true
*
* AgentBase:
* type: object
* properties:
* name:
* type: string
* description: Agent name
* description:
* type: string
* description: Agent description
* accessible_paths:
* type: array
* items:
* type: string
* description: Array of directory paths the agent can access
* instructions:
* type: string
* description: System prompt/instructions
* model:
* type: string
* description: Main model ID
* plan_model:
* type: string
* description: Optional planning model ID
* small_model:
* type: string
* description: Optional small/fast model ID
* mcps:
* type: array
* items:
* type: string
* description: Array of MCP tool IDs
* allowed_tools:
* type: array
* items:
* type: string
* description: Array of allowed tool IDs (whitelist)
* configuration:
* $ref: '#/components/schemas/AgentConfiguration'
* required:
* - model
* - accessible_paths
*
* AgentEntity:
* allOf:
* - $ref: '#/components/schemas/AgentBase'
* - type: object
* properties:
* id:
* type: string
* description: Unique agent identifier
* type:
* $ref: '#/components/schemas/AgentType'
* created_at:
* type: string
* format: date-time
* description: ISO timestamp of creation
* updated_at:
* type: string
* format: date-time
* description: ISO timestamp of last update
* required:
* - id
* - type
* - created_at
* - updated_at
* CreateAgentRequest:
* allOf:
* - $ref: '#/components/schemas/AgentBase'
* - type: object
* properties:
* type:
* $ref: '#/components/schemas/AgentType'
* name:
* type: string
* minLength: 1
* description: Agent name (required)
* model:
* type: string
* minLength: 1
* description: Main model ID (required)
* required:
* - type
* - name
* - model
*
* UpdateAgentRequest:
* type: object
* properties:
* name:
* type: string
* description: Agent name
* description:
* type: string
* description: Agent description
* accessible_paths:
* type: array
* items:
* type: string
* description: Array of directory paths the agent can access
* instructions:
* type: string
* description: System prompt/instructions
* model:
* type: string
* description: Main model ID
* plan_model:
* type: string
* description: Optional planning model ID
* small_model:
* type: string
* description: Optional small/fast model ID
* mcps:
* type: array
* items:
* type: string
* description: Array of MCP tool IDs
* allowed_tools:
* type: array
* items:
* type: string
* description: Array of allowed tool IDs (whitelist)
* configuration:
* $ref: '#/components/schemas/AgentConfiguration'
* description: Partial update - all fields are optional
*
* ReplaceAgentRequest:
* $ref: '#/components/schemas/AgentBase'
*
* SessionEntity:
* allOf:
* - $ref: '#/components/schemas/AgentBase'
* - type: object
* properties:
* id:
* type: string
* description: Unique session identifier
* agent_id:
* type: string
* description: Primary agent ID for the session
* agent_type:
* $ref: '#/components/schemas/AgentType'
* created_at:
* type: string
* format: date-time
* description: ISO timestamp of creation
* updated_at:
* type: string
* format: date-time
* description: ISO timestamp of last update
* required:
* - id
* - agent_id
* - agent_type
* - created_at
* - updated_at
*
* CreateSessionRequest:
* allOf:
* - $ref: '#/components/schemas/AgentBase'
* - type: object
* properties:
* model:
* type: string
* minLength: 1
* description: Main model ID (required)
* required:
* - model
*
* UpdateSessionRequest:
* type: object
* properties:
* name:
* type: string
* description: Session name
* description:
* type: string
* description: Session description
* accessible_paths:
* type: array
* items:
* type: string
* description: Array of directory paths the agent can access
* instructions:
* type: string
* description: System prompt/instructions
* model:
* type: string
* description: Main model ID
* plan_model:
* type: string
* description: Optional planning model ID
* small_model:
* type: string
* description: Optional small/fast model ID
* mcps:
* type: array
* items:
* type: string
* description: Array of MCP tool IDs
* allowed_tools:
* type: array
* items:
* type: string
* description: Array of allowed tool IDs (whitelist)
* configuration:
* $ref: '#/components/schemas/AgentConfiguration'
* description: Partial update - all fields are optional
*
* ReplaceSessionRequest:
* allOf:
* - $ref: '#/components/schemas/AgentBase'
* - type: object
* properties:
* model:
* type: string
* minLength: 1
* description: Main model ID (required)
* required:
* - model
*
* CreateSessionMessageRequest:
* type: object
* properties:
* content:
* type: string
* minLength: 1
* description: Message content
* required:
* - content
*
* PaginationQuery:
* type: object
* properties:
* limit:
* type: integer
* minimum: 1
* maximum: 100
* default: 20
* description: Number of items to return
* offset:
* type: integer
* minimum: 0
* default: 0
* description: Number of items to skip
* status:
* type: string
* enum: [idle, running, completed, failed, stopped]
* description: Filter by session status
*
* ListAgentsResponse:
* type: object
* properties:
* agents:
* type: array
* items:
* $ref: '#/components/schemas/AgentEntity'
* total:
* type: integer
* description: Total number of agents
* limit:
* type: integer
* description: Number of items returned
* offset:
* type: integer
* description: Number of items skipped
* required:
* - agents
* - total
* - limit
* - offset
*
* ListSessionsResponse:
* type: object
* properties:
* sessions:
* type: array
* items:
* $ref: '#/components/schemas/SessionEntity'
* total:
* type: integer
* description: Total number of sessions
* limit:
* type: integer
* description: Number of items returned
* offset:
* type: integer
* description: Number of items skipped
* required:
* - sessions
* - total
* - limit
* - offset
*
* ErrorResponse:
* type: object
* properties:
* error:
* type: object
* properties:
* message:
* type: string
* description: Error message
* type:
* type: string
* description: Error type
* code:
* type: string
* description: Error code
* required:
* - message
* - type
* - code
* required:
* - error
*/
/**
* @swagger
* /agents:
* post:
* summary: Create a new agent
* tags: [Agents]
* requestBody:
* required: true
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/CreateAgentRequest'
* responses:
* 201:
* description: Agent created successfully
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/AgentEntity'
* 400:
* description: Invalid request body
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
// Agent CRUD routes
agentsRouter.post('/', validateAgent, handleValidationErrors, agentHandlers.createAgent)
/**
* @swagger
* /agents:
* get:
* summary: List all agents with pagination
* tags: [Agents]
* parameters:
* - in: query
* name: limit
* schema:
* type: integer
* minimum: 1
* maximum: 100
* default: 20
* description: Number of agents to return
* - in: query
* name: offset
* schema:
* type: integer
* minimum: 0
* default: 0
* description: Number of agents to skip
* - in: query
* name: status
* schema:
* type: string
* enum: [idle, running, completed, failed, stopped]
* description: Filter by agent status
* responses:
* 200:
* description: List of agents
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ListAgentsResponse'
*/
agentsRouter.get('/', validatePagination, handleValidationErrors, agentHandlers.listAgents)
/**
* @swagger
* /agents/{agentId}:
* get:
* summary: Get agent by ID
* tags: [Agents]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* responses:
* 200:
* description: Agent details
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/AgentEntity'
* 404:
* description: Agent not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
agentsRouter.get('/:agentId', validateAgentId, handleValidationErrors, agentHandlers.getAgent)
/**
* @swagger
* /agents/{agentId}:
* put:
* summary: Replace agent (full update)
* tags: [Agents]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* requestBody:
* required: true
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ReplaceAgentRequest'
* responses:
* 200:
* description: Agent updated successfully
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/AgentEntity'
* 400:
* description: Invalid request body
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
* 404:
* description: Agent not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
agentsRouter.put('/:agentId', validateAgentId, validateAgentReplace, handleValidationErrors, agentHandlers.updateAgent)
/**
* @swagger
* /agents/{agentId}:
* patch:
* summary: Update agent (partial update)
* tags: [Agents]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* requestBody:
* required: true
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/UpdateAgentRequest'
* responses:
* 200:
* description: Agent updated successfully
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/AgentEntity'
* 400:
* description: Invalid request body
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
* 404:
* description: Agent not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
agentsRouter.patch('/:agentId', validateAgentId, validateAgentUpdate, handleValidationErrors, agentHandlers.patchAgent)
/**
* @swagger
* /agents/{agentId}:
* delete:
* summary: Delete agent
* tags: [Agents]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* responses:
* 204:
* description: Agent deleted successfully
* 404:
* description: Agent not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
agentsRouter.delete('/:agentId', validateAgentId, handleValidationErrors, agentHandlers.deleteAgent)
// Create sessions router with agent context
const createSessionsRouter = (): express.Router => {
const sessionsRouter = express.Router({ mergeParams: true })
// Session CRUD routes (nested under agent)
/**
* @swagger
* /agents/{agentId}/sessions:
* post:
* summary: Create a new session for an agent
* tags: [Sessions]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* requestBody:
* required: true
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/CreateSessionRequest'
* responses:
* 201:
* description: Session created successfully
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/SessionEntity'
* 400:
* description: Invalid request body
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
* 404:
* description: Agent not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
sessionsRouter.post('/', validateSession, handleValidationErrors, sessionHandlers.createSession)
/**
* @swagger
* /agents/{agentId}/sessions:
* get:
* summary: List sessions for an agent
* tags: [Sessions]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* - in: query
* name: limit
* schema:
* type: integer
* minimum: 1
* maximum: 100
* default: 20
* description: Number of sessions to return
* - in: query
* name: offset
* schema:
* type: integer
* minimum: 0
* default: 0
* description: Number of sessions to skip
* - in: query
* name: status
* schema:
* type: string
* enum: [idle, running, completed, failed, stopped]
* description: Filter by session status
* responses:
* 200:
* description: List of sessions
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ListSessionsResponse'
* 404:
* description: Agent not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
sessionsRouter.get('/', validatePagination, handleValidationErrors, sessionHandlers.listSessions)
/**
* @swagger
* /agents/{agentId}/sessions/{sessionId}:
* get:
* summary: Get session by ID
* tags: [Sessions]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* - in: path
* name: sessionId
* required: true
* schema:
* type: string
* description: Session ID
* responses:
* 200:
* description: Session details
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/SessionEntity'
* 404:
* description: Agent or session not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
sessionsRouter.get('/:sessionId', validateSessionId, handleValidationErrors, sessionHandlers.getSession)
/**
* @swagger
* /agents/{agentId}/sessions/{sessionId}:
* put:
* summary: Replace session (full update)
* tags: [Sessions]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* - in: path
* name: sessionId
* required: true
* schema:
* type: string
* description: Session ID
* requestBody:
* required: true
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ReplaceSessionRequest'
* responses:
* 200:
* description: Session updated successfully
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/SessionEntity'
* 400:
* description: Invalid request body
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
* 404:
* description: Agent or session not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
sessionsRouter.put(
'/:sessionId',
validateSessionId,
validateSessionReplace,
handleValidationErrors,
sessionHandlers.updateSession
)
/**
* @swagger
* /agents/{agentId}/sessions/{sessionId}:
* patch:
* summary: Update session (partial update)
* tags: [Sessions]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* - in: path
* name: sessionId
* required: true
* schema:
* type: string
* description: Session ID
* requestBody:
* required: true
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/UpdateSessionRequest'
* responses:
* 200:
* description: Session updated successfully
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/SessionEntity'
* 400:
* description: Invalid request body
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
* 404:
* description: Agent or session not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
sessionsRouter.patch(
'/:sessionId',
validateSessionId,
validateSessionUpdate,
handleValidationErrors,
sessionHandlers.patchSession
)
/**
* @swagger
* /agents/{agentId}/sessions/{sessionId}:
* delete:
* summary: Delete session
* tags: [Sessions]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* - in: path
* name: sessionId
* required: true
* schema:
* type: string
* description: Session ID
* responses:
* 204:
* description: Session deleted successfully
* 404:
* description: Agent or session not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
sessionsRouter.delete('/:sessionId', validateSessionId, handleValidationErrors, sessionHandlers.deleteSession)
return sessionsRouter
}
// Create messages router with agent and session context
const createMessagesRouter = (): express.Router => {
const messagesRouter = express.Router({ mergeParams: true })
// Message CRUD routes (nested under agent/session)
/**
* @swagger
* /agents/{agentId}/sessions/{sessionId}/messages:
* post:
* summary: Create a new message in a session
* tags: [Messages]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* - in: path
* name: sessionId
* required: true
* schema:
* type: string
* description: Session ID
* requestBody:
* required: true
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/CreateSessionMessageRequest'
* responses:
* 201:
* description: Message created successfully
* content:
* application/json:
* schema:
* type: object
* properties:
* id:
* type: number
* description: Message ID
* session_id:
* type: string
* description: Session ID
* role:
* type: string
* enum: [assistant, user, system, tool]
* description: Message role
* content:
* type: object
* description: Message content (AI SDK format)
* agent_session_id:
* type: string
* description: Agent session ID for resuming
* metadata:
* type: object
* description: Additional metadata
* created_at:
* type: string
* format: date-time
* updated_at:
* type: string
* format: date-time
* 400:
* description: Invalid request body
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
* 404:
* description: Agent or session not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
messagesRouter.post('/', validateSessionMessage, handleValidationErrors, messageHandlers.createMessage)
/**
* @swagger
* /agents/{agentId}/sessions/{sessionId}/messages/{messageId}:
* delete:
* summary: Delete a message from a session
* tags: [Messages]
* parameters:
* - in: path
* name: agentId
* required: true
* schema:
* type: string
* description: Agent ID
* - in: path
* name: sessionId
* required: true
* schema:
* type: string
* description: Session ID
* - in: path
* name: messageId
* required: true
* schema:
* type: integer
* description: Message ID
* responses:
* 204:
* description: Message deleted successfully
* 404:
* description: Agent, session, or message not found
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/ErrorResponse'
*/
messagesRouter.delete('/:messageId', validateSessionMessageId, handleValidationErrors, messageHandlers.deleteMessage)
return messagesRouter
}
// Mount nested resources with clear hierarchy
const sessionsRouter = createSessionsRouter()
const messagesRouter = createMessagesRouter()
// Mount sessions under specific agent
agentsRouter.use('/:agentId/sessions', validateAgentId, checkAgentExists, handleValidationErrors, sessionsRouter)
// Mount messages under specific agent/session
agentsRouter.use(
'/:agentId/sessions/:sessionId/messages',
validateAgentId,
validateSessionId,
handleValidationErrors,
messagesRouter
)
// Export main router and convenience router
export const agentsRoutes = agentsRouter
@@ -1,44 +0,0 @@
import { Request, Response } from 'express'
import { agentService } from '../../../../services/agents'
import { loggerService } from '../../../../services/LoggerService'
const logger = loggerService.withContext('ApiServerMiddleware')
// Since Zod validators handle their own errors, this is now a pass-through
export const handleValidationErrors = (_req: Request, _res: Response, next: any): void => {
next()
}
// Middleware to check if agent exists
export const checkAgentExists = async (req: Request, res: Response, next: any): Promise<void> => {
try {
const { agentId } = req.params
const exists = await agentService.agentExists(agentId)
if (!exists) {
res.status(404).json({
error: {
message: 'Agent not found',
type: 'not_found',
code: 'agent_not_found'
}
})
return
}
next()
} catch (error) {
logger.error('Error checking agent existence', {
error: error as Error,
agentId: req.params.agentId
})
res.status(500).json({
error: {
message: 'Failed to validate agent',
type: 'internal_error',
code: 'agent_validation_failed'
}
})
}
}
@@ -1 +0,0 @@
export * from './common'
@@ -1,24 +0,0 @@
import {
AgentIdParamSchema,
CreateAgentRequestSchema,
ReplaceAgentRequestSchema,
UpdateAgentRequestSchema
} from '@types'
import { createZodValidator } from './zodValidator'
export const validateAgent = createZodValidator({
body: CreateAgentRequestSchema
})
export const validateAgentReplace = createZodValidator({
body: ReplaceAgentRequestSchema
})
export const validateAgentUpdate = createZodValidator({
body: UpdateAgentRequestSchema
})
export const validateAgentId = createZodValidator({
params: AgentIdParamSchema
})
@@ -1,7 +0,0 @@
import { PaginationQuerySchema } from '@types'
import { createZodValidator } from './zodValidator'
export const validatePagination = createZodValidator({
query: PaginationQuerySchema
})
@@ -1,4 +0,0 @@
export * from './agents'
export * from './common'
export * from './messages'
export * from './sessions'
@@ -1,11 +0,0 @@
import { CreateSessionMessageRequestSchema, SessionMessageIdParamSchema } from '@types'
import { createZodValidator } from './zodValidator'
export const validateSessionMessage = createZodValidator({
body: CreateSessionMessageRequestSchema
})
export const validateSessionMessageId = createZodValidator({
params: SessionMessageIdParamSchema
})
@@ -1,24 +0,0 @@
import {
CreateSessionRequestSchema,
ReplaceSessionRequestSchema,
SessionIdParamSchema,
UpdateSessionRequestSchema
} from '@types'
import { createZodValidator } from './zodValidator'
export const validateSession = createZodValidator({
body: CreateSessionRequestSchema
})
export const validateSessionReplace = createZodValidator({
body: ReplaceSessionRequestSchema
})
export const validateSessionUpdate = createZodValidator({
body: UpdateSessionRequestSchema
})
export const validateSessionId = createZodValidator({
params: SessionIdParamSchema
})
@@ -1,68 +0,0 @@
import { NextFunction, Request, Response } from 'express'
import { ZodError, ZodType } from 'zod'
export interface ValidationRequest extends Request {
validatedBody?: any
validatedParams?: any
validatedQuery?: any
}
export interface ZodValidationConfig {
body?: ZodType
params?: ZodType
query?: ZodType
}
export const createZodValidator = (config: ZodValidationConfig) => {
return (req: ValidationRequest, res: Response, next: NextFunction): void => {
try {
if (config.body && req.body) {
req.validatedBody = config.body.parse(req.body)
}
if (config.params && req.params) {
req.validatedParams = config.params.parse(req.params)
}
if (config.query && req.query) {
req.validatedQuery = config.query.parse(req.query)
}
next()
} catch (error) {
if (error instanceof ZodError) {
const validationErrors = error.issues.map((err) => ({
type: 'field',
value: err.input,
msg: err.message,
path: err.path.map((p) => String(p)).join('.'),
location: getLocationFromPath(err.path, config)
}))
res.status(400).json({
error: {
message: 'Validation failed',
type: 'validation_error',
details: validationErrors
}
})
return
}
res.status(500).json({
error: {
message: 'Internal validation error',
type: 'internal_error',
code: 'validation_processing_failed'
}
})
}
}
}
function getLocationFromPath(path: (string | number | symbol)[], config: ZodValidationConfig): string {
if (config.body && path.length > 0) return 'body'
if (config.params && path.length > 0) return 'params'
if (config.query && path.length > 0) return 'query'
return 'unknown'
}
+91 -110
View File
@@ -1,105 +1,15 @@
import { ChatCompletionCreateParams } from '@cherrystudio/openai/resources'
import express, { Request, Response } from 'express'
import OpenAI from 'openai'
import { ChatCompletionCreateParams } from 'openai/resources'
import { loggerService } from '../../services/LoggerService'
import {
ChatCompletionModelError,
chatCompletionService,
ChatCompletionValidationError
} from '../services/chat-completion'
import { chatCompletionService } from '../services/chat-completion'
import { validateModelId } from '../utils'
const logger = loggerService.withContext('ApiServerChatRoutes')
const router = express.Router()
interface ErrorResponseBody {
error: {
message: string
type: string
code: string
}
}
const mapChatCompletionError = (error: unknown): { status: number; body: ErrorResponseBody } => {
if (error instanceof ChatCompletionValidationError) {
logger.warn('Chat completion validation error', {
errors: error.errors
})
return {
status: 400,
body: {
error: {
message: error.errors.join('; '),
type: 'invalid_request_error',
code: 'validation_failed'
}
}
}
}
if (error instanceof ChatCompletionModelError) {
logger.warn('Chat completion model error', error.error)
return {
status: 400,
body: {
error: {
message: error.error.message,
type: 'invalid_request_error',
code: error.error.code
}
}
}
}
if (error instanceof Error) {
let statusCode = 500
let errorType = 'server_error'
let errorCode = 'internal_error'
if (error.message.includes('API key') || error.message.includes('authentication')) {
statusCode = 401
errorType = 'authentication_error'
errorCode = 'invalid_api_key'
} else if (error.message.includes('rate limit') || error.message.includes('quota')) {
statusCode = 429
errorType = 'rate_limit_error'
errorCode = 'rate_limit_exceeded'
} else if (error.message.includes('timeout') || error.message.includes('connection')) {
statusCode = 502
errorType = 'server_error'
errorCode = 'upstream_error'
}
logger.error('Chat completion error', { error })
return {
status: statusCode,
body: {
error: {
message: error.message || 'Internal server error',
type: errorType,
code: errorCode
}
}
}
}
logger.error('Chat completion unknown error', { error })
return {
status: 500,
body: {
error: {
message: 'Internal server error',
type: 'server_error',
code: 'internal_error'
}
}
}
}
/**
* @swagger
* /v1/chat/completions:
@@ -150,7 +60,7 @@ const mapChatCompletionError = (error: unknown): { status: number; body: ErrorRe
* type: integer
* total_tokens:
* type: integer
* text/event-stream:
* text/plain:
* schema:
* type: string
* description: Server-sent events stream (when stream=true)
@@ -193,31 +103,72 @@ router.post('/completions', async (req: Request, res: Response) => {
})
}
logger.debug('Chat completion request', {
logger.info('Chat completion request:', {
model: request.model,
messageCount: request.messages?.length || 0,
stream: request.stream,
temperature: request.temperature
})
const isStreaming = !!request.stream
// Validate request
const validation = chatCompletionService.validateRequest(request)
if (!validation.isValid) {
return res.status(400).json({
error: {
message: validation.errors.join('; '),
type: 'invalid_request_error',
code: 'validation_failed'
}
})
}
if (isStreaming) {
const { stream } = await chatCompletionService.processStreamingCompletion(request)
// Validate model ID and get provider
const modelValidation = await validateModelId(request.model)
if (!modelValidation.valid) {
const error = modelValidation.error!
logger.warn(`Model validation failed for '${request.model}':`, error)
return res.status(400).json({
error: {
message: error.message,
type: 'invalid_request_error',
code: error.code
}
})
}
res.setHeader('Content-Type', 'text/event-stream; charset=utf-8')
res.setHeader('Cache-Control', 'no-cache, no-transform')
const provider = modelValidation.provider!
const modelId = modelValidation.modelId!
logger.info('Model validation successful:', {
provider: provider.id,
providerType: provider.type,
modelId: modelId,
fullModelId: request.model
})
// Create OpenAI client
const client = new OpenAI({
baseURL: provider.apiHost,
apiKey: provider.apiKey
})
request.model = modelId
// Handle streaming
if (request.stream) {
const streamResponse = await client.chat.completions.create(request)
res.setHeader('Content-Type', 'text/plain; charset=utf-8')
res.setHeader('Cache-Control', 'no-cache')
res.setHeader('Connection', 'keep-alive')
res.setHeader('X-Accel-Buffering', 'no')
res.flushHeaders()
try {
for await (const chunk of stream) {
for await (const chunk of streamResponse as any) {
res.write(`data: ${JSON.stringify(chunk)}\n\n`)
}
res.write('data: [DONE]\n\n')
res.end()
} catch (streamError: any) {
logger.error('Stream error', { error: streamError })
logger.error('Stream error:', streamError)
res.write(
`data: ${JSON.stringify({
error: {
@@ -227,17 +178,47 @@ router.post('/completions', async (req: Request, res: Response) => {
}
})}\n\n`
)
} finally {
res.end()
}
return
}
const { response } = await chatCompletionService.processCompletion(request)
// Handle non-streaming
const response = await client.chat.completions.create(request)
return res.json(response)
} catch (error: unknown) {
const { status, body } = mapChatCompletionError(error)
return res.status(status).json(body)
} catch (error: any) {
logger.error('Chat completion error:', error)
let statusCode = 500
let errorType = 'server_error'
let errorCode = 'internal_error'
let errorMessage = 'Internal server error'
if (error instanceof Error) {
errorMessage = error.message
if (error.message.includes('API key') || error.message.includes('authentication')) {
statusCode = 401
errorType = 'authentication_error'
errorCode = 'invalid_api_key'
} else if (error.message.includes('rate limit') || error.message.includes('quota')) {
statusCode = 429
errorType = 'rate_limit_error'
errorCode = 'rate_limit_exceeded'
} else if (error.message.includes('timeout') || error.message.includes('connection')) {
statusCode = 502
errorType = 'server_error'
errorCode = 'upstream_error'
}
}
return res.status(statusCode).json({
error: {
message: errorMessage,
type: errorType,
code: errorCode
}
})
}
})
+6 -8
View File
@@ -43,14 +43,14 @@ const router = express.Router()
*/
router.get('/', async (req: Request, res: Response) => {
try {
logger.debug('Listing MCP servers')
logger.info('Get all MCP servers request received')
const servers = await mcpApiService.getAllServers(req)
return res.json({
success: true,
data: servers
})
} catch (error: any) {
logger.error('Error fetching MCP servers', { error })
logger.error('Error fetching MCP servers:', error)
return res.status(503).json({
success: false,
error: {
@@ -103,12 +103,10 @@ router.get('/', async (req: Request, res: Response) => {
*/
router.get('/:server_id', async (req: Request, res: Response) => {
try {
logger.debug('Get MCP server info request received', {
serverId: req.params.server_id
})
logger.info('Get MCP server info request received')
const server = await mcpApiService.getServerInfo(req.params.server_id)
if (!server) {
logger.warn('MCP server not found', { serverId: req.params.server_id })
logger.warn('MCP server not found')
return res.status(404).json({
success: false,
error: {
@@ -123,7 +121,7 @@ router.get('/:server_id', async (req: Request, res: Response) => {
data: server
})
} catch (error: any) {
logger.error('Error fetching MCP server info', { error, serverId: req.params.server_id })
logger.error('Error fetching MCP server info:', error)
return res.status(503).json({
success: false,
error: {
@@ -139,7 +137,7 @@ router.get('/:server_id', async (req: Request, res: Response) => {
router.all('/:server_id/mcp', async (req: Request, res: Response) => {
const server = await mcpApiService.getServerById(req.params.server_id)
if (!server) {
logger.warn('MCP server not found', { serverId: req.params.server_id })
logger.warn('MCP server not found')
return res.status(404).json({
success: false,
error: {
-403
View File
@@ -1,403 +0,0 @@
import { MessageCreateParams } from '@anthropic-ai/sdk/resources'
import { loggerService } from '@logger'
import { Provider } from '@types'
import express, { Request, Response } from 'express'
import { messagesService } from '../services/messages'
import { getProviderById, validateModelId } from '../utils'
const logger = loggerService.withContext('ApiServerMessagesRoutes')
const router = express.Router()
const providerRouter = express.Router({ mergeParams: true })
// Helper function for basic request validation
async function validateRequestBody(req: Request): Promise<{ valid: boolean; error?: any }> {
const request: MessageCreateParams = req.body
if (!request) {
return {
valid: false,
error: {
type: 'error',
error: {
type: 'invalid_request_error',
message: 'Request body is required'
}
}
}
}
return { valid: true }
}
interface HandleMessageProcessingOptions {
req: Request
res: Response
provider: Provider
request: MessageCreateParams
modelId?: string
}
async function handleMessageProcessing({
req,
res,
provider,
request,
modelId
}: HandleMessageProcessingOptions): Promise<void> {
try {
const validation = messagesService.validateRequest(request)
if (!validation.isValid) {
res.status(400).json({
type: 'error',
error: {
type: 'invalid_request_error',
message: validation.errors.join('; ')
}
})
return
}
const extraHeaders = messagesService.prepareHeaders(req.headers)
const { client, anthropicRequest } = await messagesService.processMessage({
provider,
request,
extraHeaders,
modelId
})
if (request.stream) {
await messagesService.handleStreaming(client, anthropicRequest, { response: res }, provider)
return
}
const response = await client.messages.create(anthropicRequest)
res.json(response)
} catch (error: any) {
logger.error('Message processing error', { error })
const { statusCode, errorResponse } = messagesService.transformError(error)
res.status(statusCode).json(errorResponse)
}
}
/**
* @swagger
* /v1/messages:
* post:
* summary: Create message
* description: Create a message response using Anthropic's API format
* tags: [Messages]
* requestBody:
* required: true
* content:
* application/json:
* schema:
* type: object
* required:
* - model
* - max_tokens
* - messages
* properties:
* model:
* type: string
* description: Model ID in format "provider:model_id"
* example: "my-anthropic:claude-3-5-sonnet-20241022"
* max_tokens:
* type: integer
* minimum: 1
* description: Maximum number of tokens to generate
* example: 1024
* messages:
* type: array
* items:
* type: object
* properties:
* role:
* type: string
* enum: [user, assistant]
* content:
* oneOf:
* - type: string
* - type: array
* system:
* type: string
* description: System message
* temperature:
* type: number
* minimum: 0
* maximum: 1
* description: Sampling temperature
* top_p:
* type: number
* minimum: 0
* maximum: 1
* description: Nucleus sampling
* top_k:
* type: integer
* minimum: 0
* description: Top-k sampling
* stream:
* type: boolean
* description: Whether to stream the response
* tools:
* type: array
* description: Available tools for the model
* responses:
* 200:
* description: Message response
* content:
* application/json:
* schema:
* type: object
* properties:
* id:
* type: string
* type:
* type: string
* example: message
* role:
* type: string
* example: assistant
* content:
* type: array
* items:
* type: object
* model:
* type: string
* stop_reason:
* type: string
* stop_sequence:
* type: string
* usage:
* type: object
* properties:
* input_tokens:
* type: integer
* output_tokens:
* type: integer
* text/event-stream:
* schema:
* type: string
* description: Server-sent events stream (when stream=true)
* 400:
* description: Bad request
* content:
* application/json:
* schema:
* type: object
* properties:
* type:
* type: string
* example: error
* error:
* type: object
* properties:
* type:
* type: string
* message:
* type: string
* 401:
* description: Unauthorized
* 429:
* description: Rate limit exceeded
* 500:
* description: Internal server error
*/
router.post('/', async (req: Request, res: Response) => {
// Validate request body
const bodyValidation = await validateRequestBody(req)
if (!bodyValidation.valid) {
return res.status(400).json(bodyValidation.error)
}
try {
const request: MessageCreateParams = req.body
// Validate model ID and get provider
const modelValidation = await validateModelId(request.model)
if (!modelValidation.valid) {
const error = modelValidation.error!
logger.warn('Model validation failed', {
model: request.model,
error
})
return res.status(400).json({
type: 'error',
error: {
type: 'invalid_request_error',
message: error.message
}
})
}
const provider = modelValidation.provider!
const modelId = modelValidation.modelId!
return handleMessageProcessing({ req, res, provider, request, modelId })
} catch (error: any) {
logger.error('Message processing error', { error })
const { statusCode, errorResponse } = messagesService.transformError(error)
return res.status(statusCode).json(errorResponse)
}
})
/**
* @swagger
* /{provider_id}/v1/messages:
* post:
* summary: Create message with provider in path
* description: Create a message response using provider ID from URL path
* tags: [Messages]
* parameters:
* - in: path
* name: provider_id
* required: true
* schema:
* type: string
* description: Provider ID (e.g., "my-anthropic")
* example: "my-anthropic"
* requestBody:
* required: true
* content:
* application/json:
* schema:
* type: object
* required:
* - model
* - max_tokens
* - messages
* properties:
* model:
* type: string
* description: Model ID without provider prefix
* example: "claude-3-5-sonnet-20241022"
* max_tokens:
* type: integer
* minimum: 1
* description: Maximum number of tokens to generate
* example: 1024
* messages:
* type: array
* items:
* type: object
* properties:
* role:
* type: string
* enum: [user, assistant]
* content:
* oneOf:
* - type: string
* - type: array
* system:
* type: string
* description: System message
* temperature:
* type: number
* minimum: 0
* maximum: 1
* description: Sampling temperature
* top_p:
* type: number
* minimum: 0
* maximum: 1
* description: Nucleus sampling
* top_k:
* type: integer
* minimum: 0
* description: Top-k sampling
* stream:
* type: boolean
* description: Whether to stream the response
* tools:
* type: array
* description: Available tools for the model
* responses:
* 200:
* description: Message response
* content:
* application/json:
* schema:
* type: object
* properties:
* id:
* type: string
* type:
* type: string
* example: message
* role:
* type: string
* example: assistant
* content:
* type: array
* items:
* type: object
* model:
* type: string
* stop_reason:
* type: string
* stop_sequence:
* type: string
* usage:
* type: object
* properties:
* input_tokens:
* type: integer
* output_tokens:
* type: integer
* text/event-stream:
* schema:
* type: string
* description: Server-sent events stream (when stream=true)
* 400:
* description: Bad request
* 401:
* description: Unauthorized
* 429:
* description: Rate limit exceeded
* 500:
* description: Internal server error
*/
providerRouter.post('/', async (req: Request, res: Response) => {
// Validate request body
const bodyValidation = await validateRequestBody(req)
if (!bodyValidation.valid) {
return res.status(400).json(bodyValidation.error)
}
try {
const providerId = req.params.provider
if (!providerId) {
return res.status(400).json({
type: 'error',
error: {
type: 'invalid_request_error',
message: 'Provider ID is required in URL path'
}
})
}
// Get provider directly by ID from URL path
const provider = await getProviderById(providerId)
if (!provider) {
return res.status(400).json({
type: 'error',
error: {
type: 'invalid_request_error',
message: `Provider '${providerId}' not found or not enabled`
}
})
}
const request: MessageCreateParams = req.body
return handleMessageProcessing({ req, res, provider, request })
} catch (error: any) {
logger.error('Message processing error', { error })
const { statusCode, errorResponse } = messagesService.transformError(error)
return res.status(statusCode).json(errorResponse)
}
})
export { providerRouter as messagesProviderRoutes, router as messagesRoutes }
+61 -112
View File
@@ -1,124 +1,73 @@
import { ApiModelsFilterSchema, ApiModelsResponse } from '@types'
import express, { Request, Response } from 'express'
import { loggerService } from '../../services/LoggerService'
import { modelsService } from '../services/models'
import { chatCompletionService } from '../services/chat-completion'
const logger = loggerService.withContext('ApiServerModelsRoutes')
const router = express
.Router()
const router = express.Router()
/**
* @swagger
* /v1/models:
* get:
* summary: List available models
* description: Returns a list of available AI models from all configured providers with optional filtering
* tags: [Models]
* parameters:
* - in: query
* name: providerType
* schema:
* type: string
* enum: [openai, openai-response, anthropic, gemini]
* description: Filter models by provider type
* - in: query
* name: offset
* schema:
* type: integer
* minimum: 0
* default: 0
* description: Pagination offset
* - in: query
* name: limit
* schema:
* type: integer
* minimum: 1
* description: Maximum number of models to return
* responses:
* 200:
* description: List of available models
* content:
* application/json:
* schema:
* type: object
* properties:
* object:
* type: string
* example: list
* data:
* type: array
* items:
* $ref: '#/components/schemas/Model'
* total:
* type: integer
* description: Total number of models (when using pagination)
* offset:
* type: integer
* description: Current offset (when using pagination)
* limit:
* type: integer
* description: Current limit (when using pagination)
* 400:
* description: Invalid query parameters
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
* 503:
* description: Service unavailable
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
*/
.get('/', async (req: Request, res: Response) => {
try {
logger.debug('Models list request received', { query: req.query })
/**
* @swagger
* /v1/models:
* get:
* summary: List available models
* description: Returns a list of available AI models from all configured providers
* tags: [Models]
* responses:
* 200:
* description: List of available models
* content:
* application/json:
* schema:
* type: object
* properties:
* object:
* type: string
* example: list
* data:
* type: array
* items:
* $ref: '#/components/schemas/Model'
* 503:
* description: Service unavailable
* content:
* application/json:
* schema:
* $ref: '#/components/schemas/Error'
*/
router.get('/', async (_req: Request, res: Response) => {
try {
logger.info('Models list request received')
// Validate query parameters using Zod schema
const filterResult = ApiModelsFilterSchema.safeParse(req.query)
const models = await chatCompletionService.getModels()
if (!filterResult.success) {
logger.warn('Invalid model query parameters', { issues: filterResult.error.issues })
return res.status(400).json({
error: {
message: 'Invalid query parameters',
type: 'invalid_request_error',
code: 'invalid_parameters',
details: filterResult.error.issues.map((issue) => ({
field: issue.path.join('.'),
message: issue.message
}))
}
})
}
const filter = filterResult.data
const response = await modelsService.getModels(filter)
if (response.data.length === 0) {
logger.warn('No models available from providers', { filter })
}
logger.info('Models response ready', {
filter,
total: response.total,
modelIds: response.data.map((m) => m.id)
})
return res.json(response satisfies ApiModelsResponse)
} catch (error: any) {
logger.error('Error fetching models', { error })
return res.status(503).json({
error: {
message: 'Failed to retrieve models from available providers',
type: 'service_unavailable',
code: 'models_unavailable'
}
})
if (models.length === 0) {
logger.warn(
'No models available from providers. This may be because no OpenAI providers are configured or enabled.'
)
}
})
logger.info(`Returning ${models.length} models (OpenAI providers only)`)
logger.debug(
'Model IDs:',
models.map((m) => m.id)
)
return res.json({
object: 'list',
data: models
})
} catch (error: any) {
logger.error('Error fetching models:', error)
return res.status(503).json({
error: {
message: 'Failed to retrieve models from available providers',
type: 'service_unavailable',
code: 'models_unavailable'
}
})
}
})
export { router as modelsRoutes }
+8 -36
View File
@@ -1,72 +1,44 @@
import { createServer } from 'node:http'
import { loggerService } from '@logger'
import { agentService } from '../services/agents'
import { loggerService } from '../services/LoggerService'
import { app } from './app'
import { config } from './config'
const logger = loggerService.withContext('ApiServer')
const GLOBAL_REQUEST_TIMEOUT_MS = 5 * 60_000
const GLOBAL_HEADERS_TIMEOUT_MS = GLOBAL_REQUEST_TIMEOUT_MS + 5_000
const GLOBAL_KEEPALIVE_TIMEOUT_MS = 60_000
export class ApiServer {
private server: ReturnType<typeof createServer> | null = null
async start(): Promise<void> {
if (this.server && this.server.listening) {
if (this.server) {
logger.warn('Server already running')
return
}
// Clean up any failed server instance
if (this.server && !this.server.listening) {
logger.warn('Cleaning up failed server instance')
this.server = null
}
// Load config
const { port, host } = await config.load()
// Initialize AgentService
logger.info('Initializing AgentService')
await agentService.initialize()
logger.info('AgentService initialized')
const { port, host, apiKey } = await config.load()
// Create server with Express app
this.server = createServer(app)
this.applyServerTimeouts(this.server)
// Start server
return new Promise((resolve, reject) => {
this.server!.listen(port, host, () => {
logger.info('API server started', { host, port })
logger.info(`API Server started at http://${host}:${port}`)
logger.info(`API Key: ${apiKey}`)
resolve()
})
this.server!.on('error', (error) => {
// Clean up the server instance if listen fails
this.server = null
reject(error)
})
this.server!.on('error', reject)
})
}
private applyServerTimeouts(server: ReturnType<typeof createServer>): void {
server.requestTimeout = GLOBAL_REQUEST_TIMEOUT_MS
server.headersTimeout = Math.max(GLOBAL_HEADERS_TIMEOUT_MS, server.requestTimeout + 1_000)
server.keepAliveTimeout = GLOBAL_KEEPALIVE_TIMEOUT_MS
server.setTimeout(0)
}
async stop(): Promise<void> {
if (!this.server) return
return new Promise((resolve) => {
this.server!.close(() => {
logger.info('API server stopped')
logger.info('API Server stopped')
this.server = null
resolve()
})
@@ -84,7 +56,7 @@ export class ApiServer {
const isListening = this.server?.listening || false
const result = hasServer && isListening
logger.debug('isRunning check', { hasServer, isListening, result })
logger.debug('isRunning check:', { hasServer, isListening, result })
return result
}
+138 -158
View File
@@ -1,132 +1,83 @@
import OpenAI from '@cherrystudio/openai'
import { ChatCompletionCreateParams, ChatCompletionCreateParamsStreaming } from '@cherrystudio/openai/resources'
import { Provider } from '@types'
import OpenAI from 'openai'
import { ChatCompletionCreateParams } from 'openai/resources'
import { loggerService } from '../../services/LoggerService'
import { ModelValidationError, validateModelId } from '../utils'
import {
getProviderByModel,
getRealProviderModel,
listAllAvailableModels,
OpenAICompatibleModel,
transformModelToOpenAI,
validateProvider
} from '../utils'
const logger = loggerService.withContext('ChatCompletionService')
export interface ModelData extends OpenAICompatibleModel {
provider_id: string
model_id: string
name: string
}
export interface ValidationResult {
isValid: boolean
errors: string[]
}
export class ChatCompletionValidationError extends Error {
constructor(public readonly errors: string[]) {
super(`Request validation failed: ${errors.join('; ')}`)
this.name = 'ChatCompletionValidationError'
}
}
export class ChatCompletionModelError extends Error {
constructor(public readonly error: ModelValidationError) {
super(`Model validation failed: ${error.message}`)
this.name = 'ChatCompletionModelError'
}
}
export type PrepareRequestResult =
| { status: 'validation_error'; errors: string[] }
| { status: 'model_error'; error: ModelValidationError }
| {
status: 'ok'
provider: Provider
modelId: string
client: OpenAI
providerRequest: ChatCompletionCreateParams
}
export class ChatCompletionService {
async resolveProviderContext(
model: string
): Promise<
{ ok: false; error: ModelValidationError } | { ok: true; provider: Provider; modelId: string; client: OpenAI }
> {
const modelValidation = await validateModelId(model)
if (!modelValidation.valid) {
return {
ok: false,
error: modelValidation.error!
}
}
async getModels(): Promise<ModelData[]> {
try {
logger.info('Getting available models from providers')
const provider = modelValidation.provider!
const models = await listAllAvailableModels()
if (provider.type !== 'openai') {
return {
ok: false,
error: {
type: 'unsupported_provider_type',
message: `Provider '${provider.id}' of type '${provider.type}' is not supported for OpenAI chat completions`,
code: 'unsupported_provider_type'
// Use Map to deduplicate models by their full ID (provider:model_id)
const uniqueModels = new Map<string, ModelData>()
for (const model of models) {
const openAIModel = transformModelToOpenAI(model)
const fullModelId = openAIModel.id // This is already in format "provider:model_id"
// Only add if not already present (first occurrence wins)
if (!uniqueModels.has(fullModelId)) {
uniqueModels.set(fullModelId, {
...openAIModel,
provider_id: model.provider,
model_id: model.id,
name: model.name
})
} else {
logger.debug(`Skipping duplicate model: ${fullModelId}`)
}
}
}
const modelId = modelValidation.modelId!
const modelData = Array.from(uniqueModels.values())
const client = new OpenAI({
baseURL: provider.apiHost,
apiKey: provider.apiKey
})
logger.info(`Successfully retrieved ${modelData.length} unique models from ${models.length} total models`)
return {
ok: true,
provider,
modelId,
client
}
}
async prepareRequest(request: ChatCompletionCreateParams, stream: boolean): Promise<PrepareRequestResult> {
const requestValidation = this.validateRequest(request)
if (!requestValidation.isValid) {
return {
status: 'validation_error',
errors: requestValidation.errors
if (models.length > modelData.length) {
logger.debug(`Filtered out ${models.length - modelData.length} duplicate models`)
}
}
const providerContext = await this.resolveProviderContext(request.model!)
if (!providerContext.ok) {
return {
status: 'model_error',
error: providerContext.error
}
}
const { provider, modelId, client } = providerContext
logger.debug('Model validation successful', {
provider: provider.id,
providerType: provider.type,
modelId,
fullModelId: request.model
})
return {
status: 'ok',
provider,
modelId,
client,
providerRequest: stream
? {
...request,
model: modelId,
stream: true as const
}
: {
...request,
model: modelId,
stream: false as const
}
return modelData
} catch (error: any) {
logger.error('Error getting models:', error)
return []
}
}
validateRequest(request: ChatCompletionCreateParams): ValidationResult {
const errors: string[] = []
// Validate model
if (!request.model) {
errors.push('Model is required')
} else if (typeof request.model !== 'string') {
errors.push('Model must be a string')
} else if (!request.model.includes(':')) {
errors.push('Model must be in format "provider:model_id"')
}
// Validate messages
if (!request.messages) {
errors.push('Messages array is required')
@@ -147,6 +98,17 @@ export class ChatCompletionService {
}
// Validate optional parameters
if (request.temperature !== undefined) {
if (typeof request.temperature !== 'number' || request.temperature < 0 || request.temperature > 2) {
errors.push('Temperature must be a number between 0 and 2')
}
}
if (request.max_tokens !== undefined) {
if (typeof request.max_tokens !== 'number' || request.max_tokens < 1) {
errors.push('max_tokens must be a positive number')
}
}
return {
isValid: errors.length === 0,
@@ -154,30 +116,48 @@ export class ChatCompletionService {
}
}
async processCompletion(request: ChatCompletionCreateParams): Promise<{
provider: Provider
modelId: string
response: OpenAI.Chat.Completions.ChatCompletion
}> {
async processCompletion(request: ChatCompletionCreateParams): Promise<OpenAI.Chat.Completions.ChatCompletion> {
try {
logger.debug('Processing chat completion request', {
logger.info('Processing chat completion request:', {
model: request.model,
messageCount: request.messages.length,
stream: request.stream
})
const preparation = await this.prepareRequest(request, false)
if (preparation.status === 'validation_error') {
throw new ChatCompletionValidationError(preparation.errors)
// Validate request
const validation = this.validateRequest(request)
if (!validation.isValid) {
throw new Error(`Request validation failed: ${validation.errors.join(', ')}`)
}
if (preparation.status === 'model_error') {
throw new ChatCompletionModelError(preparation.error)
// Get provider for the model
const provider = await getProviderByModel(request.model!)
if (!provider) {
throw new Error(`Provider not found for model: ${request.model}`)
}
const { provider, modelId, client, providerRequest } = preparation
// Validate provider
if (!validateProvider(provider)) {
throw new Error(`Provider validation failed for: ${provider.id}`)
}
logger.debug('Sending request to provider', {
// Extract model ID from the full model string
const modelId = getRealProviderModel(request.model)
// Create OpenAI client for the provider
const client = new OpenAI({
baseURL: provider.apiHost,
apiKey: provider.apiKey
})
// Prepare request with the actual model ID
const providerRequest = {
...request,
model: modelId,
stream: false
}
logger.debug('Sending request to provider:', {
provider: provider.id,
model: modelId,
apiHost: provider.apiHost
@@ -185,71 +165,71 @@ export class ChatCompletionService {
const response = (await client.chat.completions.create(providerRequest)) as OpenAI.Chat.Completions.ChatCompletion
logger.info('Chat completion processed', {
modelId,
provider: provider.id
})
return {
provider,
modelId,
response
}
logger.info('Successfully processed chat completion')
return response
} catch (error: any) {
logger.error('Error processing chat completion', {
error,
model: request.model
})
logger.error('Error processing chat completion:', error)
throw error
}
}
async processStreamingCompletion(request: ChatCompletionCreateParams): Promise<{
provider: Provider
modelId: string
stream: AsyncIterable<OpenAI.Chat.Completions.ChatCompletionChunk>
}> {
async *processStreamingCompletion(
request: ChatCompletionCreateParams
): AsyncIterable<OpenAI.Chat.Completions.ChatCompletionChunk> {
try {
logger.debug('Processing streaming chat completion request', {
logger.info('Processing streaming chat completion request:', {
model: request.model,
messageCount: request.messages.length
})
const preparation = await this.prepareRequest(request, true)
if (preparation.status === 'validation_error') {
throw new ChatCompletionValidationError(preparation.errors)
// Validate request
const validation = this.validateRequest(request)
if (!validation.isValid) {
throw new Error(`Request validation failed: ${validation.errors.join(', ')}`)
}
if (preparation.status === 'model_error') {
throw new ChatCompletionModelError(preparation.error)
// Get provider for the model
const provider = await getProviderByModel(request.model!)
if (!provider) {
throw new Error(`Provider not found for model: ${request.model}`)
}
const { provider, modelId, client, providerRequest } = preparation
// Validate provider
if (!validateProvider(provider)) {
throw new Error(`Provider validation failed for: ${provider.id}`)
}
logger.debug('Sending streaming request to provider', {
// Extract model ID from the full model string
const modelId = getRealProviderModel(request.model)
// Create OpenAI client for the provider
const client = new OpenAI({
baseURL: provider.apiHost,
apiKey: provider.apiKey
})
// Prepare streaming request
const streamingRequest = {
...request,
model: modelId,
stream: true as const
}
logger.debug('Sending streaming request to provider:', {
provider: provider.id,
model: modelId,
apiHost: provider.apiHost
})
const streamRequest = providerRequest as ChatCompletionCreateParamsStreaming
const stream = (await client.chat.completions.create(
streamRequest
)) as AsyncIterable<OpenAI.Chat.Completions.ChatCompletionChunk>
const stream = await client.chat.completions.create(streamingRequest)
logger.info('Streaming chat completion started', {
modelId,
provider: provider.id
})
return {
provider,
modelId,
stream
for await (const chunk of stream) {
yield chunk
}
logger.info('Successfully completed streaming chat completion')
} catch (error: any) {
logger.error('Error processing streaming chat completion', {
error,
model: request.model
})
logger.error('Error processing streaming chat completion:', error)
throw error
}
}
+82 -20
View File
@@ -13,7 +13,8 @@ import { Request, Response } from 'express'
import { IncomingMessage, ServerResponse } from 'http'
import { loggerService } from '../../services/LoggerService'
import { getMcpServerById, getMCPServersFromRedux } from '../utils/mcp'
import { reduxService } from '../../services/ReduxService'
import { getMcpServerById } from '../utils/mcp'
const logger = loggerService.withContext('MCPApiService')
const transports: Record<string, StreamableHTTPServerTransport> = {}
@@ -49,18 +50,42 @@ class MCPApiService extends EventEmitter {
constructor() {
super()
this.initMcpServer()
logger.debug('MCPApiService initialized')
logger.silly('MCPApiService initialized')
}
private initMcpServer() {
this.transport.onmessage = this.onMessage
}
/**
* Get servers directly from Redux store
*/
private async getServersFromRedux(): Promise<MCPServer[]> {
try {
logger.silly('Getting servers from Redux store')
// Try to get from cache first (faster)
const cachedServers = reduxService.selectSync<MCPServer[]>('state.mcp.servers')
if (cachedServers && Array.isArray(cachedServers)) {
logger.silly(`Found ${cachedServers.length} servers in Redux cache`)
return cachedServers
}
// If cache is not available, get fresh data
const servers = await reduxService.select<MCPServer[]>('state.mcp.servers')
logger.silly(`Fetched ${servers?.length || 0} servers from Redux store`)
return servers || []
} catch (error: any) {
logger.error('Failed to get servers from Redux:', error)
return []
}
}
// get all activated servers
async getAllServers(req: Request): Promise<McpServersResp> {
try {
const servers = await getMCPServersFromRedux()
logger.debug('Returning servers from Redux', { count: servers.length })
const servers = await this.getServersFromRedux()
logger.silly(`Returning ${servers.length} servers`)
const resp: McpServersResp = {
servers: {}
}
@@ -77,7 +102,7 @@ class MCPApiService extends EventEmitter {
}
return resp
} catch (error: any) {
logger.error('Failed to get all servers', { error })
logger.error('Failed to get all servers:', error)
throw new Error('Failed to retrieve servers')
}
}
@@ -85,47 +110,87 @@ class MCPApiService extends EventEmitter {
// get server by id
async getServerById(id: string): Promise<MCPServer | null> {
try {
logger.debug('getServerById called', { id })
const servers = await getMCPServersFromRedux()
logger.silly(`getServerById called with id: ${id}`)
const servers = await this.getServersFromRedux()
const server = servers.find((s) => s.id === id)
if (!server) {
logger.warn('Server not found', { id })
logger.warn(`Server with id ${id} not found`)
return null
}
logger.debug('Returning server', { id })
logger.silly(`Returning server with id ${id}`)
return server
} catch (error: any) {
logger.error('Failed to get server', { id, error })
logger.error(`Failed to get server with id ${id}:`, error)
throw new Error('Failed to retrieve server')
}
}
async getServerInfo(id: string): Promise<any> {
try {
logger.silly(`getServerInfo called with id: ${id}`)
const server = await this.getServerById(id)
if (!server) {
logger.warn('Server not found while fetching info', { id })
logger.warn(`Server with id ${id} not found`)
return null
}
logger.silly(`Returning server info for id ${id}`)
const client = await mcpService.initClient(server)
const tools = await client.listTools()
logger.info(`Server with id ${id} info:`, { tools: JSON.stringify(tools) })
// const [version, tools, prompts, resources] = await Promise.all([
// () => {
// try {
// return client.getServerVersion()
// } catch (error) {
// logger.error(`Failed to get server version for id ${id}:`, { error: error })
// return '1.0.0'
// }
// },
// (() => {
// try {
// return client.listTools()
// } catch (error) {
// logger.error(`Failed to list tools for id ${id}:`, { error: error })
// return []
// }
// })(),
// (() => {
// try {
// return client.listPrompts()
// } catch (error) {
// logger.error(`Failed to list prompts for id ${id}:`, { error: error })
// return []
// }
// })(),
// (() => {
// try {
// return client.listResources()
// } catch (error) {
// logger.error(`Failed to list resources for id ${id}:`, { error: error })
// return []
// }
// })()
// ])
return {
id: server.id,
name: server.name,
type: server.type,
description: server.description,
tools: tools.tools
tools
}
} catch (error: any) {
logger.error('Failed to get server info', { id, error })
logger.error(`Failed to get server info with id ${id}:`, error)
throw new Error('Failed to retrieve server info')
}
}
async handleRequest(req: Request, res: Response, server: MCPServer) {
const sessionId = req.headers['mcp-session-id'] as string | undefined
logger.debug('Handling MCP request', { sessionId, serverId: server.id })
logger.silly(`Handling request for server with sessionId ${sessionId}`)
let transport: StreamableHTTPServerTransport
if (sessionId && transports[sessionId]) {
transport = transports[sessionId]
@@ -138,7 +203,7 @@ class MCPApiService extends EventEmitter {
})
transport.onclose = () => {
logger.info('Transport closed', { sessionId })
logger.info(`Transport for sessionId ${sessionId} closed`)
if (transport.sessionId) {
delete transports[transport.sessionId]
}
@@ -173,15 +238,12 @@ class MCPApiService extends EventEmitter {
}
}
logger.debug('Dispatching MCP request', {
sessionId: transport.sessionId ?? sessionId,
messageCount: messages.length
})
logger.info(`Request body`, { rawBody: req.body, messages: JSON.stringify(messages) })
await transport.handleRequest(req as IncomingMessage, res as ServerResponse, messages)
}
private onMessage(message: JSONRPCMessage, extra?: MessageExtraInfo) {
logger.debug('Received MCP message', { message, extra })
logger.info(`Received message: ${JSON.stringify(message)}`, extra)
// Handle message here
}
}
-321
View File
@@ -1,321 +0,0 @@
import Anthropic from '@anthropic-ai/sdk'
import { MessageCreateParams, MessageStreamEvent } from '@anthropic-ai/sdk/resources'
import { loggerService } from '@logger'
import anthropicService from '@main/services/AnthropicService'
import { buildClaudeCodeSystemMessage, getSdkClient } from '@shared/anthropic'
import { Provider } from '@types'
import { Response } from 'express'
const logger = loggerService.withContext('MessagesService')
const EXCLUDED_FORWARD_HEADERS: ReadonlySet<string> = new Set([
'host',
'x-api-key',
'authorization',
'sentry-trace',
'baggage',
'content-length',
'connection'
])
export interface ValidationResult {
isValid: boolean
errors: string[]
}
export interface ErrorResponse {
type: 'error'
error: {
type: string
message: string
requestId?: string
}
}
export interface StreamConfig {
response: Response
onChunk?: (chunk: MessageStreamEvent) => void
onError?: (error: any) => void
onComplete?: () => void
}
export interface ProcessMessageOptions {
provider: Provider
request: MessageCreateParams
extraHeaders?: Record<string, string | string[]>
modelId?: string
}
export interface ProcessMessageResult {
client: Anthropic
anthropicRequest: MessageCreateParams
}
export class MessagesService {
validateRequest(request: MessageCreateParams): ValidationResult {
// TODO: Implement comprehensive request validation
const errors: string[] = []
if (!request.model || typeof request.model !== 'string') {
errors.push('Model is required')
}
if (typeof request.max_tokens !== 'number' || !Number.isFinite(request.max_tokens) || request.max_tokens < 1) {
errors.push('max_tokens is required and must be a positive number')
}
if (!request.messages || !Array.isArray(request.messages) || request.messages.length === 0) {
errors.push('messages is required and must be a non-empty array')
} else {
request.messages.forEach((message, index) => {
if (!message || typeof message !== 'object') {
errors.push(`messages[${index}] must be an object`)
return
}
if (!('role' in message) || typeof message.role !== 'string' || message.role.trim().length === 0) {
errors.push(`messages[${index}].role is required`)
}
const content: unknown = message.content
if (content === undefined || content === null) {
errors.push(`messages[${index}].content is required`)
return
}
if (typeof content === 'string' && content.trim().length === 0) {
errors.push(`messages[${index}].content cannot be empty`)
} else if (Array.isArray(content) && content.length === 0) {
errors.push(`messages[${index}].content must include at least one item when using an array`)
}
})
}
return {
isValid: errors.length === 0,
errors
}
}
async getClient(provider: Provider, extraHeaders?: Record<string, string | string[]>): Promise<Anthropic> {
// Create Anthropic client for the provider
if (provider.authType === 'oauth') {
const oauthToken = await anthropicService.getValidAccessToken()
return getSdkClient(provider, oauthToken, extraHeaders)
}
return getSdkClient(provider, null, extraHeaders)
}
prepareHeaders(headers: Record<string, string | string[] | undefined>): Record<string, string | string[]> {
const extraHeaders: Record<string, string | string[]> = {}
for (const [key, value] of Object.entries(headers)) {
if (value === undefined) {
continue
}
const normalizedKey = key.toLowerCase()
if (EXCLUDED_FORWARD_HEADERS.has(normalizedKey)) {
continue
}
extraHeaders[normalizedKey] = value
}
return extraHeaders
}
createAnthropicRequest(request: MessageCreateParams, provider: Provider, modelId?: string): MessageCreateParams {
const anthropicRequest: MessageCreateParams = {
...request,
stream: !!request.stream
}
// Override model if provided
if (modelId) {
anthropicRequest.model = modelId
}
// Add Claude Code system message for OAuth providers
if (provider.type === 'anthropic' && provider.authType === 'oauth') {
anthropicRequest.system = buildClaudeCodeSystemMessage(request.system)
}
return anthropicRequest
}
async handleStreaming(
client: Anthropic,
request: MessageCreateParams,
config: StreamConfig,
provider: Provider
): Promise<void> {
const { response, onChunk, onError, onComplete } = config
// Set streaming headers
response.setHeader('Content-Type', 'text/event-stream; charset=utf-8')
response.setHeader('Cache-Control', 'no-cache, no-transform')
response.setHeader('Connection', 'keep-alive')
response.setHeader('X-Accel-Buffering', 'no')
response.flushHeaders()
const flushableResponse = response as Response & { flush?: () => void }
const flushStream = () => {
if (typeof flushableResponse.flush !== 'function') {
return
}
try {
flushableResponse.flush()
} catch (flushError: unknown) {
logger.warn('Failed to flush streaming response', { error: flushError })
}
}
const writeSse = (eventType: string | undefined, payload: unknown) => {
if (response.writableEnded || response.destroyed) {
return
}
if (eventType) {
response.write(`event: ${eventType}\n`)
}
const data = typeof payload === 'string' ? payload : JSON.stringify(payload)
response.write(`data: ${data}\n\n`)
flushStream()
}
try {
const stream = client.messages.stream(request)
for await (const chunk of stream) {
if (response.writableEnded || response.destroyed) {
logger.warn('Streaming response ended before stream completion', {
provider: provider.id,
model: request.model
})
break
}
writeSse(chunk.type, chunk)
if (onChunk) {
onChunk(chunk)
}
}
writeSse(undefined, '[DONE]')
if (onComplete) {
onComplete()
}
} catch (streamError: any) {
logger.error('Stream error', {
error: streamError,
provider: provider.id,
model: request.model,
apiHost: provider.apiHost,
anthropicApiHost: provider.anthropicApiHost
})
writeSse(undefined, {
type: 'error',
error: {
type: 'api_error',
message: 'Stream processing error'
}
})
if (onError) {
onError(streamError)
}
} finally {
if (!response.writableEnded) {
response.end()
}
}
}
transformError(error: any): { statusCode: number; errorResponse: ErrorResponse } {
let statusCode = 500
let errorType = 'api_error'
let errorMessage = 'Internal server error'
const anthropicStatus = typeof error?.status === 'number' ? error.status : undefined
const anthropicError = error?.error
if (anthropicStatus) {
statusCode = anthropicStatus
}
if (anthropicError?.type) {
errorType = anthropicError.type
}
if (anthropicError?.message) {
errorMessage = anthropicError.message
} else if (error instanceof Error && error.message) {
errorMessage = error.message
}
// Infer error type from message if not from Anthropic API
if (!anthropicStatus && error instanceof Error) {
const errorMessageText = error.message ?? ''
if (errorMessageText.includes('API key') || errorMessageText.includes('authentication')) {
statusCode = 401
errorType = 'authentication_error'
} else if (errorMessageText.includes('rate limit') || errorMessageText.includes('quota')) {
statusCode = 429
errorType = 'rate_limit_error'
} else if (errorMessageText.includes('timeout') || errorMessageText.includes('connection')) {
statusCode = 502
errorType = 'api_error'
} else if (errorMessageText.includes('validation') || errorMessageText.includes('invalid')) {
statusCode = 400
errorType = 'invalid_request_error'
}
}
const safeErrorMessage =
typeof errorMessage === 'string' && errorMessage.length > 0 ? errorMessage : 'Internal server error'
return {
statusCode,
errorResponse: {
type: 'error',
error: {
type: errorType,
message: safeErrorMessage,
requestId: error?.request_id
}
}
}
}
async processMessage(options: ProcessMessageOptions): Promise<ProcessMessageResult> {
const { provider, request, extraHeaders, modelId } = options
const client = await this.getClient(provider, extraHeaders)
const anthropicRequest = this.createAnthropicRequest(request, provider, modelId)
const messageCount = Array.isArray(request.messages) ? request.messages.length : 0
logger.info('Processing anthropic messages request', {
provider: provider.id,
apiHost: provider.apiHost,
anthropicApiHost: provider.anthropicApiHost,
model: anthropicRequest.model,
stream: !!anthropicRequest.stream,
// systemPrompt: JSON.stringify(!!request.system),
// messages: JSON.stringify(request.messages),
messageCount,
toolCount: Array.isArray(request.tools) ? request.tools.length : 0
})
// Return client and request for route layer to handle streaming/non-streaming
return {
client,
anthropicRequest
}
}
}
// Export singleton instance
export const messagesService = new MessagesService()
-113
View File
@@ -1,113 +0,0 @@
import { isEmpty } from 'lodash'
import { ApiModel, ApiModelsFilter, ApiModelsResponse } from '../../../renderer/src/types/apiModels'
import { loggerService } from '../../services/LoggerService'
import {
getAvailableProviders,
getProviderAnthropicModelChecker,
listAllAvailableModels,
transformModelToOpenAI
} from '../utils'
const logger = loggerService.withContext('ModelsService')
// Re-export for backward compatibility
export type ModelsFilter = ApiModelsFilter
export class ModelsService {
async getModels(filter: ModelsFilter): Promise<ApiModelsResponse> {
try {
logger.debug('Getting available models from providers', { filter })
let providers = await getAvailableProviders()
if (filter.providerType === 'anthropic') {
providers = providers.filter((p) => p.type === 'anthropic' || !isEmpty(p.anthropicApiHost?.trim()))
}
const models = await listAllAvailableModels(providers)
// Use Map to deduplicate models by their full ID (provider:model_id)
const uniqueModels = new Map<string, ApiModel>()
for (const model of models) {
const provider = providers.find((p) => p.id === model.provider)
logger.debug(`Processing model ${model.id}`)
if (!provider) {
logger.debug(`Skipping model ${model.id} . Reason: Provider not found.`)
continue
}
if (filter.providerType === 'anthropic') {
const checker = getProviderAnthropicModelChecker(provider.id)
if (!checker(model)) {
logger.debug(`Skipping model ${model.id} from ${model.provider}. Reason: Not an Anthropic model.`)
continue
}
}
const openAIModel = transformModelToOpenAI(model, provider)
const fullModelId = openAIModel.id // This is already in format "provider:model_id"
// Only add if not already present (first occurrence wins)
if (!uniqueModels.has(fullModelId)) {
uniqueModels.set(fullModelId, openAIModel)
} else {
logger.debug(`Skipping duplicate model: ${fullModelId}`)
}
}
let modelData = Array.from(uniqueModels.values())
const total = modelData.length
// Apply pagination
const offset = filter?.offset || 0
const limit = filter?.limit
if (limit !== undefined) {
modelData = modelData.slice(offset, offset + limit)
logger.debug(
`Applied pagination: offset=${offset}, limit=${limit}, showing ${modelData.length} of ${total} models`
)
} else if (offset > 0) {
modelData = modelData.slice(offset)
logger.debug(`Applied offset: offset=${offset}, showing ${modelData.length} of ${total} models`)
}
logger.info('Models retrieved', {
returned: modelData.length,
discovered: models.length,
filter
})
if (models.length > total) {
logger.debug(`Filtered out ${models.length - total} models after deduplication and filtering`)
}
const response: ApiModelsResponse = {
object: 'list',
data: modelData
}
// Add pagination metadata if applicable
if (filter?.limit !== undefined || filter?.offset !== undefined) {
response.total = total
response.offset = offset
if (filter?.limit !== undefined) {
response.limit = filter.limit
}
}
return response
} catch (error: any) {
logger.error('Error getting models', { error, filter })
return {
object: 'list',
data: []
}
}
}
}
// Export singleton instance
export const modelsService = new ModelsService()
@@ -1,64 +0,0 @@
export type StreamAbortHandler = (reason: unknown) => void
export interface StreamAbortController {
abortController: AbortController
registerAbortHandler: (handler: StreamAbortHandler) => void
clearAbortTimeout: () => void
}
export const STREAM_TIMEOUT_REASON = 'stream timeout'
interface CreateStreamAbortControllerOptions {
timeoutMs: number
}
export const createStreamAbortController = (options: CreateStreamAbortControllerOptions): StreamAbortController => {
const { timeoutMs } = options
const abortController = new AbortController()
const signal = abortController.signal
let timeoutId: NodeJS.Timeout | undefined
let abortHandler: StreamAbortHandler | undefined
const clearAbortTimeout = () => {
if (!timeoutId) {
return
}
clearTimeout(timeoutId)
timeoutId = undefined
}
const handleAbort = () => {
clearAbortTimeout()
if (!abortHandler) {
return
}
abortHandler(signal.reason)
}
signal.addEventListener('abort', handleAbort, { once: true })
const registerAbortHandler = (handler: StreamAbortHandler) => {
abortHandler = handler
if (signal.aborted) {
abortHandler(signal.reason)
}
}
if (timeoutMs > 0) {
timeoutId = setTimeout(() => {
if (!signal.aborted) {
abortController.abort(STREAM_TIMEOUT_REASON)
}
}, timeoutMs)
}
return {
abortController,
registerAbortHandler,
clearAbortTimeout
}
}
+44 -107
View File
@@ -1,60 +1,46 @@
import { CacheService } from '@main/services/CacheService'
import { loggerService } from '@main/services/LoggerService'
import { reduxService } from '@main/services/ReduxService'
import { ApiModel, Model, Provider } from '@types'
import { Model, Provider } from '@types'
const logger = loggerService.withContext('ApiServerUtils')
// Cache configuration
const PROVIDERS_CACHE_KEY = 'api-server:providers'
const PROVIDERS_CACHE_TTL = 10 * 1000 // 10 seconds
// OpenAI compatible model format
export interface OpenAICompatibleModel {
id: string
object: 'model'
created: number
owned_by: string
provider?: string
provider_model_id?: string
}
export async function getAvailableProviders(): Promise<Provider[]> {
try {
// Try to get from cache first (faster)
const cachedSupportedProviders = CacheService.get<Provider[]>(PROVIDERS_CACHE_KEY)
if (cachedSupportedProviders && cachedSupportedProviders.length > 0) {
logger.debug('Providers resolved from cache', {
count: cachedSupportedProviders.length
})
return cachedSupportedProviders
}
// If cache is not available, get fresh data from Redux
// Wait for store to be ready before accessing providers
const providers = await reduxService.select('state.llm.providers')
if (!providers || !Array.isArray(providers)) {
logger.warn('No providers found in Redux store')
logger.warn('No providers found in Redux store, returning empty array')
return []
}
// Support OpenAI and Anthropic type providers for API server
const supportedProviders = providers.filter(
(p: Provider) => p.enabled && (p.type === 'openai' || p.type === 'anthropic')
)
// Only support OpenAI type providers for API server
const openAIProviders = providers.filter((p: Provider) => p.enabled && p.type === 'openai')
// Cache the filtered results
CacheService.set(PROVIDERS_CACHE_KEY, supportedProviders, PROVIDERS_CACHE_TTL)
logger.info(`Filtered to ${openAIProviders.length} OpenAI providers from ${providers.length} total providers`)
logger.info('Providers filtered', {
supported: supportedProviders.length,
total: providers.length
})
return supportedProviders
return openAIProviders
} catch (error: any) {
logger.error('Failed to get providers from Redux store', { error })
logger.error('Failed to get providers from Redux store:', error)
return []
}
}
export async function listAllAvailableModels(providers?: Provider[]): Promise<Model[]> {
export async function listAllAvailableModels(): Promise<Model[]> {
try {
if (!providers) {
providers = await getAvailableProviders()
}
const providers = await getAvailableProviders()
return providers.map((p: Provider) => p.models || []).flat()
} catch (error: any) {
logger.error('Failed to list available models', { error })
logger.error('Failed to list available models:', error)
return []
}
}
@@ -62,13 +48,15 @@ export async function listAllAvailableModels(providers?: Provider[]): Promise<Mo
export async function getProviderByModel(model: string): Promise<Provider | undefined> {
try {
if (!model || typeof model !== 'string') {
logger.warn('Invalid model parameter', { model })
logger.warn(`Invalid model parameter: ${model}`)
return undefined
}
// Validate model format first
if (!model.includes(':')) {
logger.warn('Invalid model format missing separator', { model })
logger.warn(
`Invalid model format, must contain ':' separator. Expected format "provider:model_id", got: ${model}`
)
return undefined
}
@@ -76,7 +64,7 @@ export async function getProviderByModel(model: string): Promise<Provider | unde
const modelInfo = model.split(':')
if (modelInfo.length < 2 || modelInfo[0].length === 0 || modelInfo[1].length === 0) {
logger.warn('Invalid model format with empty parts', { model })
logger.warn(`Invalid model format, expected "provider:model_id" with non-empty parts, got: ${model}`)
return undefined
}
@@ -84,17 +72,16 @@ export async function getProviderByModel(model: string): Promise<Provider | unde
const provider = providers.find((p: Provider) => p.id === providerId)
if (!provider) {
logger.warn('Provider not found for model', {
providerId,
available: providers.map((p) => p.id)
})
logger.warn(
`Provider '${providerId}' not found or not enabled. Available providers: ${providers.map((p) => p.id).join(', ')}`
)
return undefined
}
logger.debug('Provider resolved for model', { providerId, model })
logger.debug(`Found provider '${providerId}' for model: ${model}`)
return provider
} catch (error: any) {
logger.error('Failed to get provider by model', { error, model })
logger.error('Failed to get provider by model:', error)
return undefined
}
}
@@ -109,12 +96,9 @@ export interface ModelValidationError {
code: string
}
export async function validateModelId(model: string): Promise<{
valid: boolean
error?: ModelValidationError
provider?: Provider
modelId?: string
}> {
export async function validateModelId(
model: string
): Promise<{ valid: boolean; error?: ModelValidationError; provider?: Provider; modelId?: string }> {
try {
if (!model || typeof model !== 'string') {
return {
@@ -185,7 +169,7 @@ export async function validateModelId(model: string): Promise<{
modelId
}
} catch (error: any) {
logger.error('Error validating model ID', { error, model })
logger.error('Error validating model ID:', error)
return {
valid: false,
error: {
@@ -197,47 +181,17 @@ export async function validateModelId(model: string): Promise<{
}
}
export function transformModelToOpenAI(model: Model, provider?: Provider): ApiModel {
const providerDisplayName = provider?.name
export function transformModelToOpenAI(model: Model): OpenAICompatibleModel {
return {
id: `${model.provider}:${model.id}`,
object: 'model',
name: model.name,
created: Math.floor(Date.now() / 1000),
owned_by: model.owned_by || providerDisplayName || model.provider,
owned_by: model.owned_by || model.provider,
provider: model.provider,
provider_name: providerDisplayName,
provider_type: provider?.type,
provider_model_id: model.id
}
}
export async function getProviderById(providerId: string): Promise<Provider | undefined> {
try {
if (!providerId || typeof providerId !== 'string') {
logger.warn('Invalid provider ID parameter', { providerId })
return undefined
}
const providers = await getAvailableProviders()
const provider = providers.find((p: Provider) => p.id === providerId)
if (!provider) {
logger.warn('Provider not found by ID', {
providerId,
available: providers.map((p) => p.id)
})
return undefined
}
logger.debug('Provider found by ID', { providerId })
return provider
} catch (error: any) {
logger.error('Failed to get provider by ID', { error, providerId })
return undefined
}
}
export function validateProvider(provider: Provider): boolean {
try {
if (!provider) {
@@ -246,7 +200,7 @@ export function validateProvider(provider: Provider): boolean {
// Check required fields
if (!provider.id || !provider.type || !provider.apiKey || !provider.apiHost) {
logger.warn('Provider missing required fields', {
logger.warn('Provider missing required fields:', {
id: !!provider.id,
type: !!provider.type,
apiKey: !!provider.apiKey,
@@ -257,38 +211,21 @@ export function validateProvider(provider: Provider): boolean {
// Check if provider is enabled
if (!provider.enabled) {
logger.debug('Provider is disabled', { providerId: provider.id })
logger.debug(`Provider is disabled: ${provider.id}`)
return false
}
// Support OpenAI and Anthropic type providers
if (provider.type !== 'openai' && provider.type !== 'anthropic') {
logger.debug('Provider type not supported', {
providerId: provider.id,
providerType: provider.type
})
// Only support OpenAI type providers
if (provider.type !== 'openai') {
logger.debug(
`Provider type '${provider.type}' not supported, only 'openai' type is currently supported: ${provider.id}`
)
return false
}
return true
} catch (error: any) {
logger.error('Error validating provider', {
error,
providerId: provider?.id
})
logger.error('Error validating provider:', error)
return false
}
}
export const getProviderAnthropicModelChecker = (providerId: string): ((m: Model) => boolean) => {
switch (providerId) {
case 'cherryin':
case 'new-api':
return (m: Model) => m.endpoint_type === 'anthropic'
case 'aihubmix':
return (m: Model) => m.id.includes('claude')
default:
// allow all models when checker not configured
return () => true
}
}
+7 -27
View File
@@ -1,4 +1,3 @@
import { CacheService } from '@main/services/CacheService'
import mcpService from '@main/services/MCPService'
import { Server } from '@modelcontextprotocol/sdk/server/index.js'
import { CallToolRequestSchema, ListToolsRequestSchema, ListToolsResult } from '@modelcontextprotocol/sdk/types.js'
@@ -9,10 +8,6 @@ import { reduxService } from '../../services/ReduxService'
const logger = loggerService.withContext('MCPApiService')
// Cache configuration
const MCP_SERVERS_CACHE_KEY = 'api-server:mcp-servers'
const MCP_SERVERS_CACHE_TTL = 5 * 60 * 1000 // 5 minutes
const cachedServers: Record<string, Server> = {}
async function handleListToolsRequest(request: any, extra: any): Promise<ListToolsResult> {
@@ -38,35 +33,20 @@ async function handleCallToolRequest(request: any, extra: any): Promise<any> {
}
async function getMcpServerConfigById(id: string): Promise<MCPServer | undefined> {
const servers = await getMCPServersFromRedux()
const servers = await getServersFromRedux()
return servers.find((s) => s.id === id || s.name === id)
}
/**
* Get servers directly from Redux store
*/
export async function getMCPServersFromRedux(): Promise<MCPServer[]> {
async function getServersFromRedux(): Promise<MCPServer[]> {
try {
logger.debug('Getting servers from Redux store')
// Try to get from cache first (faster)
const cachedServers = CacheService.get<MCPServer[]>(MCP_SERVERS_CACHE_KEY)
if (cachedServers) {
logger.debug('MCP servers resolved from cache', { count: cachedServers.length })
return cachedServers
}
// If cache is not available, get fresh data from Redux
const servers = await reduxService.select<MCPServer[]>('state.mcp.servers')
const serverList = servers || []
// Cache the results
CacheService.set(MCP_SERVERS_CACHE_KEY, serverList, MCP_SERVERS_CACHE_TTL)
logger.debug('Fetched servers from Redux store', { count: serverList.length })
return serverList
logger.silly(`Fetched ${servers?.length || 0} servers from Redux store`)
return servers || []
} catch (error: any) {
logger.error('Failed to get servers from Redux', { error })
logger.error('Failed to get servers from Redux:', error)
return []
}
}
@@ -74,7 +54,7 @@ export async function getMCPServersFromRedux(): Promise<MCPServer[]> {
export async function getMcpServerById(id: string): Promise<Server> {
const server = cachedServers[id]
if (!server) {
const servers = await getMCPServersFromRedux()
const servers = await getServersFromRedux()
const mcpServer = servers.find((s) => s.id === id || s.name === id)
if (!mcpServer) {
throw new Error(`Server not found: ${id}`)
@@ -91,6 +71,6 @@ export async function getMcpServerById(id: string): Promise<Server> {
cachedServers[id] = newServer
return newServer
}
logger.debug('Returning cached MCP server', { id, hasHandlers: Boolean(server) })
logger.silly('getMcpServer ', { server: server })
return server
}
+29
View File
@@ -3,3 +3,32 @@ export const isWin = process.platform === 'win32'
export const isLinux = process.platform === 'linux'
export const isDev = process.env.NODE_ENV === 'development'
export const isPortable = isWin && 'PORTABLE_EXECUTABLE_DIR' in process.env
export const PRINT_HTML_TEMPLATE = `
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>{{filename}}</title>
<style>
@media print {
body {
-webkit-print-color-adjust: exact;
print-color-adjust: exact;
}
}
/* Color variables */
{{colorCss}}
/* Font variables */
{{fontCss}}
/* Richtext styles */
{{richtextCss}}
</style>
</head>
<body theme-mode="light" os=${isMac ? 'mac' : isWin ? 'windows' : 'linux'}>
<div id="root">
<div class="tiptap">{{content}}</div>
</div>
</body>
</html>
`
+5 -32
View File
@@ -10,13 +10,9 @@ import { electronApp, optimizer } from '@electron-toolkit/utils'
import { replaceDevtoolsFont } from '@main/utils/windowUtil'
import { app } from 'electron'
import installExtension, { REACT_DEVELOPER_TOOLS, REDUX_DEVTOOLS } from 'electron-devtools-installer'
import { isDev, isLinux, isWin } from './constant'
import process from 'node:process'
import { registerIpc } from './ipc'
import { agentService } from './services/agents'
import { apiServerService } from './services/ApiServerService'
import { configManager } from './services/ConfigManager'
import mcpService from './services/MCPService'
import { nodeTraceService } from './services/NodeTraceService'
@@ -30,7 +26,8 @@ import selectionService, { initSelectionService } from './services/SelectionServ
import { registerShortcuts } from './services/ShortcutService'
import { TrayService } from './services/TrayService'
import { windowService } from './services/WindowService'
import { initWebviewHotkeys } from './services/WebviewService'
import process from 'node:process'
import { apiServerService } from './services/ApiServerService'
const logger = loggerService.withContext('MainEntry')
@@ -109,7 +106,6 @@ if (!app.requestSingleInstanceLock()) {
// Some APIs can only be used after this event occurs.
app.whenReady().then(async () => {
initWebviewHotkeys()
// Set app user model id for windows
electronApp.setAppUserModelId(import.meta.env.VITE_MAIN_BUNDLE_ID || 'com.kangfenmao.CherryStudio')
@@ -151,34 +147,11 @@ if (!app.requestSingleInstanceLock()) {
//start selection assistant service
initSelectionService()
// Initialize Agent Service
try {
await agentService.initialize()
logger.info('Agent service initialized successfully')
} catch (error: any) {
logger.error('Failed to initialize Agent service:', error)
}
// Start API server if enabled or if agents exist
// Start API server if enabled
try {
const config = await apiServerService.getCurrentConfig()
logger.info('API server config:', config)
// Check if there are any agents
let shouldStart = config.enabled
if (!shouldStart) {
try {
const { total } = await agentService.listAgents({ limit: 1 })
if (total > 0) {
shouldStart = true
logger.info(`Detected ${total} agent(s), auto-starting API server`)
}
} catch (error: any) {
logger.warn('Failed to check agent count:', error)
}
}
if (shouldStart) {
if (config.enabled) {
await apiServerService.start()
}
} catch (error: any) {
+6 -50
View File
@@ -11,21 +11,11 @@ import { handleZoomFactor } from '@main/utils/zoom'
import { SpanEntity, TokenUsage } from '@mcp-trace/trace-core'
import { MIN_WINDOW_HEIGHT, MIN_WINDOW_WIDTH, UpgradeChannel } from '@shared/config/constant'
import { IpcChannel } from '@shared/IpcChannel'
import {
AgentPersistedMessage,
FileMetadata,
Notification,
OcrProvider,
Provider,
Shortcut,
SupportedOcrFile,
ThemeMode
} from '@types'
import { FileMetadata, Notification, OcrProvider, Provider, Shortcut, SupportedOcrFile, ThemeMode } from '@types'
import checkDiskSpace from 'check-disk-space'
import { BrowserWindow, dialog, ipcMain, ProxyConfig, session, shell, systemPreferences, webContents } from 'electron'
import fontList from 'font-list'
import { agentMessageRepository } from './services/agents/database'
import { apiServerService } from './services/ApiServerService'
import appService from './services/AppService'
import AppUpdater from './services/AppUpdater'
@@ -45,7 +35,6 @@ import NotificationService from './services/NotificationService'
import * as NutstoreService from './services/NutstoreService'
import ObsidianVaultService from './services/ObsidianVaultService'
import { ocrService } from './services/ocr/OcrService'
import OvmsManager from './services/OvmsManager'
import { proxyManager } from './services/ProxyManager'
import { pythonService } from './services/PythonService'
import { FileServiceManager } from './services/remotefile/FileServiceManager'
@@ -92,7 +81,6 @@ const obsidianVaultService = new ObsidianVaultService()
const vertexAIService = VertexAIService.getInstance()
const memoryService = MemoryService.getInstance()
const dxtService = new DxtService()
const ovmsManager = new OvmsManager()
export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
const appUpdater = new AppUpdater()
@@ -142,7 +130,7 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
ipcMain.handle(IpcChannel.Open_Website, (_, url: string) => shell.openExternal(url))
// Update
ipcMain.handle(IpcChannel.App_QuitAndInstall, () => appUpdater.quitAndInstall())
ipcMain.handle(IpcChannel.App_ShowUpdateDialog, () => appUpdater.showUpdateDialog(mainWindow))
// language
ipcMain.handle(IpcChannel.App_SetLanguage, (_, language) => {
@@ -212,27 +200,6 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
}
})
ipcMain.handle(IpcChannel.AgentMessage_PersistExchange, async (_event, payload) => {
try {
return await agentMessageRepository.persistExchange(payload)
} catch (error) {
logger.error('Failed to persist agent session messages', error as Error)
throw error
}
})
ipcMain.handle(
IpcChannel.AgentMessage_GetHistory,
async (_event, { sessionId }: { sessionId: string }): Promise<AgentPersistedMessage[]> => {
try {
return await agentMessageRepository.getSessionHistory(sessionId)
} catch (error) {
logger.error('Failed to get agent session history', error as Error)
throw error
}
}
)
//only for mac
if (isMac) {
ipcMain.handle(IpcChannel.App_MacIsProcessTrusted, (): boolean => {
@@ -465,7 +432,6 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
// system
ipcMain.handle(IpcChannel.System_GetDeviceType, () => (isMac ? 'mac' : isWin ? 'windows' : 'linux'))
ipcMain.handle(IpcChannel.System_GetHostname, () => require('os').hostname())
ipcMain.handle(IpcChannel.System_GetCpuName, () => require('os').cpus()[0].model)
ipcMain.handle(IpcChannel.System_ToggleDevTools, (e) => {
const win = BrowserWindow.fromWebContents(e.sender)
win && win.webContents.toggleDevTools()
@@ -529,7 +495,6 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
ipcMain.handle(IpcChannel.File_ValidateNotesDirectory, fileManager.validateNotesDirectory.bind(fileManager))
ipcMain.handle(IpcChannel.File_StartWatcher, fileManager.startFileWatcher.bind(fileManager))
ipcMain.handle(IpcChannel.File_StopWatcher, fileManager.stopFileWatcher.bind(fileManager))
ipcMain.handle(IpcChannel.File_ShowInFolder, fileManager.showInFolder.bind(fileManager))
// file service
ipcMain.handle(IpcChannel.FileService_Upload, async (_, provider: Provider, file: FileMetadata) => {
@@ -559,6 +524,9 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
// export
ipcMain.handle(IpcChannel.Export_Word, exportService.exportToWord.bind(exportService))
// PDF export
ipcMain.handle(IpcChannel.Export_PDF, exportService.exportToPDF.bind(exportService))
// open path
ipcMain.handle(IpcChannel.Open_Path, async (_, path: string) => {
await shell.openPath(path)
@@ -745,7 +713,6 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
ipcMain.handle(IpcChannel.App_GetBinaryPath, (_, name: string) => getBinaryPath(name))
ipcMain.handle(IpcChannel.App_InstallUvBinary, () => runInstallScript('install-uv.js'))
ipcMain.handle(IpcChannel.App_InstallBunBinary, () => runInstallScript('install-bun.js'))
ipcMain.handle(IpcChannel.App_InstallOvmsBinary, () => runInstallScript('install-ovms.js'))
//copilot
ipcMain.handle(IpcChannel.Copilot_GetAuthMessage, CopilotService.getAuthMessage.bind(CopilotService))
@@ -786,6 +753,7 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
ipcMain.handle(IpcChannel.Webview_SetOpenLinkExternal, (_, webviewId: number, isExternal: boolean) =>
setOpenLinkExternal(webviewId, isExternal)
)
ipcMain.handle(IpcChannel.Webview_SetSpellCheckEnabled, (_, webviewId: number, isEnable: boolean) => {
const webview = webContents.fromId(webviewId)
if (!webview) return
@@ -875,18 +843,6 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
ipcMain.handle(IpcChannel.OCR_ocr, (_, file: SupportedOcrFile, provider: OcrProvider) =>
ocrService.ocr(file, provider)
)
ipcMain.handle(IpcChannel.OCR_ListProviders, () => ocrService.listProviderIds())
// OVMS
ipcMain.handle(IpcChannel.Ovms_AddModel, (_, modelName: string, modelId: string, modelSource: string, task: string) =>
ovmsManager.addModel(modelName, modelId, modelSource, task)
)
ipcMain.handle(IpcChannel.Ovms_StopAddModel, () => ovmsManager.stopAddModel())
ipcMain.handle(IpcChannel.Ovms_GetModels, () => ovmsManager.getModels())
ipcMain.handle(IpcChannel.Ovms_IsRunning, () => ovmsManager.initializeOvms())
ipcMain.handle(IpcChannel.Ovms_GetStatus, () => ovmsManager.getOvmsStatus())
ipcMain.handle(IpcChannel.Ovms_RunOVMS, () => ovmsManager.runOvms())
ipcMain.handle(IpcChannel.Ovms_StopOVMS, () => ovmsManager.stopOvms())
// CherryAI
ipcMain.handle(IpcChannel.Cherryai_GetSignature, (_, params) => generateSignature(params))
@@ -80,7 +80,6 @@ export default abstract class BaseReranker {
message: error.message,
status: error.response?.status,
statusText: error.response?.statusText,
responseBody: error.response?.body, // Include the actual API error response
requestBody: requestBody
}
return JSON.stringify(errorDetails, null, 2)
+1 -33
View File
@@ -2,15 +2,6 @@ import { KnowledgeBaseParams, KnowledgeSearchResult } from '@types'
import { net } from 'electron'
import BaseReranker from './BaseReranker'
interface RerankError extends Error {
response?: {
status: number
statusText: string
body?: unknown
}
}
export default class GeneralReranker extends BaseReranker {
constructor(base: KnowledgeBaseParams) {
super(base)
@@ -26,30 +17,7 @@ export default class GeneralReranker extends BaseReranker {
})
if (!response.ok) {
// Read the response body to get detailed error information
// Clone the response to avoid consuming the body multiple times
const clonedResponse = response.clone()
let errorBody: unknown
try {
errorBody = await clonedResponse.json()
} catch {
// If response body is not JSON, try to read as text
try {
errorBody = await response.text()
} catch {
errorBody = null
}
}
const error = new Error(`HTTP ${response.status}: ${response.statusText}`) as RerankError
// Attach response details to the error object for formatErrorMessage
error.response = {
status: response.status,
statusText: response.statusText,
body: errorBody
}
throw error
throw new Error(`HTTP ${response.status}: ${response.statusText}`)
}
const data = await response.json()
-473
View File
@@ -1,473 +0,0 @@
/**
* DiDi MCP Server Implementation
*
* Based on official DiDi MCP API capabilities.
* API Documentation: https://mcp.didichuxing.com/api?tap=api
*
* Provides ride-hailing services including map search, price estimation,
* order management, and driver tracking.
*
* Note: Only available in Mainland China.
*/
import { loggerService } from '@logger'
import { Server } from '@modelcontextprotocol/sdk/server/index.js'
import { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprotocol/sdk/types.js'
const logger = loggerService.withContext('DiDiMCPServer')
export class DiDiMcpServer {
private _server: Server
private readonly baseUrl = 'http://mcp.didichuxing.com/mcp-servers'
private apiKey: string
constructor(apiKey?: string) {
this._server = new Server(
{
name: 'didi-mcp-server',
version: '0.1.0'
},
{
capabilities: {
tools: {}
}
}
)
// Get API key from parameter or environment variables
this.apiKey = apiKey || process.env.DIDI_API_KEY || ''
if (!this.apiKey) {
logger.warn('DIDI_API_KEY environment variable is not set')
}
this.setupRequestHandlers()
}
get server(): Server {
return this._server
}
private setupRequestHandlers() {
// List available tools
this._server.setRequestHandler(ListToolsRequestSchema, async () => {
return {
tools: [
{
name: 'maps_textsearch',
description: 'Search for POI locations based on keywords and city',
inputSchema: {
type: 'object',
properties: {
city: {
type: 'string',
description: 'Query city'
},
keywords: {
type: 'string',
description: 'Search keywords'
},
location: {
type: 'string',
description: 'Location coordinates, format: longitude,latitude'
}
},
required: ['keywords', 'city']
}
},
{
name: 'taxi_cancel_order',
description: 'Cancel a taxi order',
inputSchema: {
type: 'object',
properties: {
order_id: {
type: 'string',
description: 'Order ID from order creation or query results'
},
reason: {
type: 'string',
description:
'Cancellation reason (optional). Examples: no longer needed, waiting too long, urgent matter'
}
},
required: ['order_id']
}
},
{
name: 'taxi_create_order',
description: 'Create taxi order directly via API without opening any app interface',
inputSchema: {
type: 'object',
properties: {
caller_car_phone: {
type: 'string',
description: 'Caller phone number (optional)'
},
estimate_trace_id: {
type: 'string',
description: 'Estimation trace ID from estimation results'
},
product_category: {
type: 'string',
description: 'Vehicle category ID from estimation results, comma-separated for multiple types'
}
},
required: ['product_category', 'estimate_trace_id']
}
},
{
name: 'taxi_estimate',
description: 'Get available ride-hailing vehicle types and fare estimates',
inputSchema: {
type: 'object',
properties: {
from_lat: {
type: 'string',
description: 'Departure latitude, must be from map tools'
},
from_lng: {
type: 'string',
description: 'Departure longitude, must be from map tools'
},
from_name: {
type: 'string',
description: 'Departure location name'
},
to_lat: {
type: 'string',
description: 'Destination latitude, must be from map tools'
},
to_lng: {
type: 'string',
description: 'Destination longitude, must be from map tools'
},
to_name: {
type: 'string',
description: 'Destination name'
}
},
required: ['from_lng', 'from_lat', 'from_name', 'to_lng', 'to_lat', 'to_name']
}
},
{
name: 'taxi_generate_ride_app_link',
description: 'Generate deep links to open ride-hailing apps based on origin, destination and vehicle type',
inputSchema: {
type: 'object',
properties: {
from_lat: {
type: 'string',
description: 'Departure latitude, must be from map tools'
},
from_lng: {
type: 'string',
description: 'Departure longitude, must be from map tools'
},
product_category: {
type: 'string',
description: 'Vehicle category IDs from estimation results, comma-separated for multiple types'
},
to_lat: {
type: 'string',
description: 'Destination latitude, must be from map tools'
},
to_lng: {
type: 'string',
description: 'Destination longitude, must be from map tools'
}
},
required: ['from_lng', 'from_lat', 'to_lng', 'to_lat']
}
},
{
name: 'taxi_get_driver_location',
description: 'Get real-time driver location for a taxi order',
inputSchema: {
type: 'object',
properties: {
order_id: {
type: 'string',
description: 'Taxi order ID'
}
},
required: ['order_id']
}
},
{
name: 'taxi_query_order',
description: 'Query taxi order status and information such as driver contact, license plate, ETA',
inputSchema: {
type: 'object',
properties: {
order_id: {
type: 'string',
description: 'Order ID from order creation results, if available; otherwise queries incomplete orders'
}
}
}
}
]
}
})
// Handle tool calls
this._server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params
try {
switch (name) {
case 'maps_textsearch':
return await this.handleMapsTextSearch(args)
case 'taxi_cancel_order':
return await this.handleTaxiCancelOrder(args)
case 'taxi_create_order':
return await this.handleTaxiCreateOrder(args)
case 'taxi_estimate':
return await this.handleTaxiEstimate(args)
case 'taxi_generate_ride_app_link':
return await this.handleTaxiGenerateRideAppLink(args)
case 'taxi_get_driver_location':
return await this.handleTaxiGetDriverLocation(args)
case 'taxi_query_order':
return await this.handleTaxiQueryOrder(args)
default:
throw new Error(`Unknown tool: ${name}`)
}
} catch (error) {
logger.error(`Error calling tool ${name}:`, error as Error)
throw error
}
})
}
private async handleMapsTextSearch(args: any) {
const { city, keywords, location } = args
const params = {
name: 'maps_textsearch',
arguments: {
keywords,
city,
...(location && { location })
}
}
try {
const response = await this.makeRequest('tools/call', params)
return {
content: [
{
type: 'text',
text: JSON.stringify(response, null, 2)
}
]
}
} catch (error) {
logger.error('Maps text search error:', error as Error)
throw error
}
}
private async handleTaxiCancelOrder(args: any) {
const { order_id, reason } = args
const params = {
name: 'taxi_cancel_order',
arguments: {
order_id,
...(reason && { reason })
}
}
try {
const response = await this.makeRequest('tools/call', params)
return {
content: [
{
type: 'text',
text: JSON.stringify(response, null, 2)
}
]
}
} catch (error) {
logger.error('Taxi cancel order error:', error as Error)
throw error
}
}
private async handleTaxiCreateOrder(args: any) {
const { caller_car_phone, estimate_trace_id, product_category } = args
const params = {
name: 'taxi_create_order',
arguments: {
product_category,
estimate_trace_id,
...(caller_car_phone && { caller_car_phone })
}
}
try {
const response = await this.makeRequest('tools/call', params)
return {
content: [
{
type: 'text',
text: JSON.stringify(response, null, 2)
}
]
}
} catch (error) {
logger.error('Taxi create order error:', error as Error)
throw error
}
}
private async handleTaxiEstimate(args: any) {
const { from_lng, from_lat, from_name, to_lng, to_lat, to_name } = args
const params = {
name: 'taxi_estimate',
arguments: {
from_lng,
from_lat,
from_name,
to_lng,
to_lat,
to_name
}
}
try {
const response = await this.makeRequest('tools/call', params)
return {
content: [
{
type: 'text',
text: JSON.stringify(response, null, 2)
}
]
}
} catch (error) {
logger.error('Taxi estimate error:', error as Error)
throw error
}
}
private async handleTaxiGenerateRideAppLink(args: any) {
const { from_lng, from_lat, to_lng, to_lat, product_category } = args
const params = {
name: 'taxi_generate_ride_app_link',
arguments: {
from_lng,
from_lat,
to_lng,
to_lat,
...(product_category && { product_category })
}
}
try {
const response = await this.makeRequest('tools/call', params)
return {
content: [
{
type: 'text',
text: JSON.stringify(response, null, 2)
}
]
}
} catch (error) {
logger.error('Taxi generate ride app link error:', error as Error)
throw error
}
}
private async handleTaxiGetDriverLocation(args: any) {
const { order_id } = args
const params = {
name: 'taxi_get_driver_location',
arguments: {
order_id
}
}
try {
const response = await this.makeRequest('tools/call', params)
return {
content: [
{
type: 'text',
text: JSON.stringify(response, null, 2)
}
]
}
} catch (error) {
logger.error('Taxi get driver location error:', error as Error)
throw error
}
}
private async handleTaxiQueryOrder(args: any) {
const { order_id } = args
const params = {
name: 'taxi_query_order',
arguments: {
...(order_id && { order_id })
}
}
try {
const response = await this.makeRequest('tools/call', params)
return {
content: [
{
type: 'text',
text: JSON.stringify(response, null, 2)
}
]
}
} catch (error) {
logger.error('Taxi query order error:', error as Error)
throw error
}
}
private async makeRequest(method: string, params: any): Promise<any> {
const requestData = {
jsonrpc: '2.0',
method: method,
id: Date.now(),
...(Object.keys(params).length > 0 && { params })
}
// API key is passed as URL parameter
const url = `${this.baseUrl}?key=${this.apiKey}`
const response = await fetch(url, {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(requestData)
})
if (!response.ok) {
const errorText = await response.text()
throw new Error(`HTTP ${response.status}: ${errorText}`)
}
const data = await response.json()
if (data.error) {
throw new Error(`API Error: ${JSON.stringify(data.error)}`)
}
return data.result
}
}
export default DiDiMcpServer

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