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feat: introduce Cherry Studio AI Core package with unified AI provider interface
- Added a new package `@cherry-studio/ai-core` that provides a unified interface for various AI providers based on the Vercel AI SDK. - Implemented core components including `ApiClientFactory`, `UniversalAiSdkClient`, and a provider registry for dynamic imports. - Included TypeScript support and a lightweight design for improved developer experience. - Documented architecture and usage examples in `AI_SDK_ARCHITECTURE.md` and `README.md`. - Updated `package.json` to include dependencies for supported AI providers. This package aims to streamline the integration of multiple AI providers while ensuring type safety and modularity.
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packages/aiCore/AI_SDK_ARCHITECTURE.md
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# Cherry Studio AI Core 基于 Vercel AI SDK 的技术架构
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## 1. 架构设计理念
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### 1.1 设计目标
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- **统一接口**：使用 Vercel AI SDK 统一不同 AI Provider 的接口差异
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- **动态导入**：通过动态导入实现按需加载，减少打包体积
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- **最小包装**：直接使用 AI SDK 的类型和接口，避免重复定义
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- **中间件增强**：扩大中间件的介入范围，覆盖请求的全生命周期（规划中）
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- **类型安全**：利用 TypeScript 和 AI SDK 的类型系统确保类型安全
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- **轻量级**：专注核心功能，保持包的轻量和高效
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- **包级独立**：作为独立包管理，便于复用和维护
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### 1.2 核心优势
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- **标准化**：AI SDK 提供统一的模型接口，减少适配工作
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- **简化维护**：废弃复杂的 XxxApiClient，统一为工厂函数模式
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- **更好的开发体验**：完整的 TypeScript 支持和丰富的生态系统
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- **性能优化**：AI SDK 内置优化和最佳实践
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- **模块化设计**：独立包结构，支持跨项目复用
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- **可扩展中间件**：支持在请求全生命周期中插入自定义逻辑
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## 2. 整体架构图
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```mermaid
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graph TD
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subgraph "Cherry Studio 主应用"
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UI["用户界面"]
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Components["React 组件"]
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end
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subgraph "packages/aiCore (AI Core 包)"
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ApiClientFactory["ApiClientFactory (工厂类)"]
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UniversalClient["UniversalAiSdkClient (统一客户端)"]
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ProviderRegistry["Provider 注册表"]
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MiddlewareChain["中间件链 (规划中)"]
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end
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subgraph "动态导入层"
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DynamicImport["动态导入"]
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end
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subgraph "Vercel AI SDK"
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AICore["ai (核心库)"]
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OpenAI["@ai-sdk/openai"]
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Anthropic["@ai-sdk/anthropic"]
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Google["@ai-sdk/google"]
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XAI["@ai-sdk/xai"]
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Others["其他 19+ Providers"]
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end
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subgraph "中间件生态 (规划中)"
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PreRequest["请求预处理"]
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StreamTransform["流转换"]
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PostProcess["后处理"]
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ErrorHandle["错误处理"]
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Logging["日志记录"]
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Cache["缓存"]
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end
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UI --> ApiClientFactory
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Components --> ApiClientFactory
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ApiClientFactory --> UniversalClient
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UniversalClient --> MiddlewareChain
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MiddlewareChain --> ProviderRegistry
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ProviderRegistry --> DynamicImport
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DynamicImport --> OpenAI
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DynamicImport --> Anthropic
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DynamicImport --> Google
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DynamicImport --> XAI
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DynamicImport --> Others
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UniversalClient --> AICore
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AICore --> streamText
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AICore --> generateText
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MiddlewareChain --> PreRequest
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MiddlewareChain --> StreamTransform
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MiddlewareChain --> PostProcess
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MiddlewareChain --> ErrorHandle
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MiddlewareChain --> Logging
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MiddlewareChain --> Cache
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```
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## 3. 包结构设计
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### 3.1 包级文件结构（当前简化版 + 规划）
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```
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packages/aiCore/
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├── src/
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│ ├── providers/
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│ │ ├── registry.ts # Provider 注册表 ✅
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│ │ └── types.ts # 核心类型定义 ✅
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│ ├── clients/
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│ │ ├── UniversalAiSdkClient.ts # 统一AI SDK客户端 ✅
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│ │ └── ApiClientFactory.ts # 客户端工厂 ✅
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│ ├── middleware/ # 中间件系统 (规划中)
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│ │ ├── lifecycle/ # 生命周期中间件
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│ │ │ ├── PreRequestMiddleware.ts
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│ │ │ ├── PostResponseMiddleware.ts
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│ │ │ ├── ErrorHandlingMiddleware.ts
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│ │ │ └── CacheMiddleware.ts
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│ │ ├── core/ # 核心中间件
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│ │ │ ├── StreamProcessingMiddleware.ts
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│ │ │ ├── RequestValidationMiddleware.ts
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│ │ │ └── ResponseTransformMiddleware.ts
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│ │ ├── feat/ # 特性中间件
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│ │ │ ├── ThinkingMiddleware.ts
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│ │ │ ├── ToolCallMiddleware.ts
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│ │ │ └── WebSearchMiddleware.ts
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│ │ ├── builder.ts # 中间件构建器
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│ │ ├── composer.ts # 中间件组合器
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│ │ ├── register.ts # 中间件注册表
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│ │ └── types.ts # 中间件类型定义
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│ ├── services/ # 高级服务 (规划中)
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│ │ ├── AiCoreService.ts # 统一服务入口
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│ │ ├── CompletionsService.ts # 文本生成服务
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│ │ ├── EmbeddingService.ts # 嵌入服务
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│ │ └── ImageService.ts # 图像生成服务
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│ └── index.ts # 包主入口文件 ✅
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├── package.json # 包配置文件 ✅
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├── tsconfig.json # TypeScript 配置 ✅
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├── README.md # 包说明文档 ✅
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└── AI_SDK_ARCHITECTURE.md # 本文档 ✅
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```
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**图例：**
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- ✅ 已实现
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- 规划中：设计完成，待实现
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### 3.2 包配置 (package.json)
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```json
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{
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"name": "@cherry-studio/ai-core",
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"version": "1.0.0",
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"description": "Cherry Studio AI Core - 基于 Vercel AI SDK 的统一 AI Provider 接口",
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"main": "dist/index.js",
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"types": "dist/index.d.ts",
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"dependencies": {
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"ai": "^4.3.16"
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},
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"peerDependenciesMeta": {
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"@ai-sdk/openai": { "optional": true },
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"@ai-sdk/anthropic": { "optional": true },
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"@ai-sdk/google": { "optional": true },
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"@ai-sdk/xai": { "optional": true }
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},
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"keywords": [
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"ai", "sdk", "vercel-ai-sdk", "cherry-studio"
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]
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}
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```
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## 4. 核心组件详解
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### 4.1 Provider 注册表 (`providers/registry.ts`)
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统一管理所有 AI Provider 的注册和动态导入。
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**主要功能：**
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- 动态导入 AI SDK providers
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- 提供统一的 Provider 创建接口
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- 支持 19+ 官方 AI SDK providers
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- 类型安全的 Provider 配置
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**核心 API：**
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```typescript
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export interface ProviderConfig {
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id: string
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name: string
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import: () => Promise<any>
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creatorFunctionName: string
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}
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export class AiProviderRegistry {
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getProvider(id: string): ProviderConfig | undefined
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getAllProviders(): ProviderConfig[]
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isSupported(id: string): boolean
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registerProvider(config: ProviderConfig): void
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}
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```
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**支持的 Providers：**
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- OpenAI, Anthropic, Google, XAI
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- Azure OpenAI, Amazon Bedrock, Google Vertex
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- Groq, Together.ai, Fireworks, DeepSeek
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- Cerebras, DeepInfra, Replicate, Perplexity
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- Cohere, Fal AI, Vercel (19+ providers)
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### 4.2 统一AI SDK客户端 (`clients/UniversalAiSdkClient.ts`)
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将不同 AI providers 包装为统一接口。
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**主要功能：**
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- 异步初始化和动态加载
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- 统一的 stream() 和 generate() 方法
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- 直接使用 AI SDK 的 streamText() 和 generateText()
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- 配置验证和错误处理
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**核心 API：**
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```typescript
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export class UniversalAiSdkClient {
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async initialize(): Promise<void>
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isInitialized(): boolean
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async stream(request: any): Promise<any>
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async generate(request: any): Promise<any>
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validateConfig(): boolean
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getProviderInfo(): { id: string; name: string; isInitialized: boolean }
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}
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```
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### 4.3 客户端工厂 (`clients/ApiClientFactory.ts`)
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统一创建和管理 AI SDK 客户端。
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**主要功能：**
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- 统一的客户端创建接口
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- 智能缓存和复用机制
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- 批量创建和健康检查
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- 错误处理和重试
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**核心 API：**
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```typescript
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export class ApiClientFactory {
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static async createAiSdkClient(providerId: string, options: any): Promise<UniversalAiSdkClient>
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static getCachedClient(providerId: string, options: any): UniversalAiSdkClient | undefined
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static clearCache(): void
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static async healthCheck(): Promise<HealthCheckResult>
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static getSupportedProviders(): ProviderInfo[]
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}
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```
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### 4.4 增强的中间件系统 (规划中)
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扩展中间件架构，支持请求全生命周期的介入。
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**生命周期阶段：**
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1. **Pre-Request**：请求预处理、参数验证、缓存检查
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2. **Request**：实际的 AI SDK 调用
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3. **Stream Processing**：流式响应处理、实时转换
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4. **Post-Response**：响应后处理、结果聚合
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5. **Error Handling**：错误处理、重试、降级
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**中间件分类：**
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**生命周期中间件：**
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- `PreRequestMiddleware`：请求前处理，参数验证、权限检查
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- `PostResponseMiddleware`：响应后处理，结果转换、统计记录
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- `ErrorHandlingMiddleware`：错误处理，重试机制、降级策略
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- `CacheMiddleware`：缓存中间件，请求缓存、结果缓存
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**核心中间件：**
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- `StreamProcessingMiddleware`：流式处理，chunk 转换、进度追踪
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- `RequestValidationMiddleware`：请求验证，schema 验证、安全检查
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- `ResponseTransformMiddleware`：响应转换，格式标准化、类型转换
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**特性中间件：**
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- `ThinkingMiddleware`：思考过程中间件，记录推理步骤
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- `ToolCallMiddleware`：工具调用中间件，函数调用处理
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- `WebSearchMiddleware`：网络搜索中间件，集成搜索功能
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**中间件 API 设计：**
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```typescript
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export interface Middleware {
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name: string
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priority: number
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execute(context: MiddlewareContext, next: () => Promise<void>): Promise<void>
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}
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export interface MiddlewareContext {
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request: AiCoreRequest
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response?: AiCoreResponse
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error?: Error
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metadata: Record<string, any>
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provider: string
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model: string
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}
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export class MiddlewareChain {
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use(middleware: Middleware): this
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compose(): (context: MiddlewareContext) => Promise<void>
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execute(context: MiddlewareContext): Promise<void>
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}
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```
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### 4.5 统一服务接口 (规划中)
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作为包的主要对外接口，提供高级 AI 功能。
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**服务方法：**
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- `completions()`: 文本生成
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- `streamCompletions()`: 流式文本生成
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- `generateObject()`: 结构化数据生成
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- `generateImage()`: 图像生成
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- `embed()`: 文本嵌入
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**API 设计：**
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```typescript
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export class AiCoreService {
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constructor(middlewares?: Middleware[])
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async completions(request: CompletionRequest): Promise<CompletionResponse>
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async streamCompletions(request: CompletionRequest): Promise<StreamCompletionResponse>
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async generateObject<T>(request: ObjectGenerationRequest): Promise<T>
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async generateImage(request: ImageGenerationRequest): Promise<ImageResponse>
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async embed(request: EmbeddingRequest): Promise<EmbeddingResponse>
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use(middleware: Middleware): this
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configure(config: AiCoreConfig): this
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}
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```
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## 5. 使用方式
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### 5.1 基础用法
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```typescript
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import { createAiSdkClient } from '@cherry-studio/ai-core'
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// 创建 OpenAI 客户端
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const client = await createAiSdkClient('openai', {
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apiKey: 'your-api-key'
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})
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// 流式生成
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const result = await client.stream({
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modelId: 'gpt-4',
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messages: [{ role: 'user', content: 'Hello!' }]
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})
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// 非流式生成
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const response = await client.generate({
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modelId: 'gpt-4',
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messages: [{ role: 'user', content: 'Hello!' }]
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})
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```
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### 5.2 便捷函数
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```typescript
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import { createOpenAIClient, streamGeneration } from '@cherry-studio/ai-core'
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// 快速创建特定 provider 客户端
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const client = await createOpenAIClient({
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apiKey: 'your-api-key'
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})
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// 便捷的一次性调用
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const result = await streamGeneration(
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'anthropic',
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'claude-3-sonnet',
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[{ role: 'user', content: 'Hello!' }],
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{ apiKey: 'your-api-key' }
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)
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```
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### 5.3 多 Provider 支持
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```typescript
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import { createAiSdkClient, AiCore } from '@cherry-studio/ai-core'
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// 检查支持的 providers
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const providers = AiCore.getSupportedProviders()
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console.log(`支持 ${providers.length} 个 AI providers`)
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// 创建多个 provider 客户端
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const openai = await createAiSdkClient('openai', { apiKey: 'openai-key' })
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const anthropic = await createAiSdkClient('anthropic', { apiKey: 'anthropic-key' })
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const google = await createAiSdkClient('google', { apiKey: 'google-key' })
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const xai = await createAiSdkClient('xai', { apiKey: 'xai-key' })
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```
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### 5.4 在 Cherry Studio 中集成
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```typescript
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// 替换现有的 XxxApiClient
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// 之前：
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// const openaiClient = new OpenAIApiClient(config)
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// const anthropicClient = new AnthropicApiClient(config)
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// 现在：
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import { createAiSdkClient } from '@cherry-studio/ai-core'
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const createProviderClient = async (provider: CherryProvider) => {
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return await createAiSdkClient(provider.id, {
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apiKey: provider.apiKey,
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baseURL: provider.baseURL
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})
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}
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```
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### 5.5 中间件使用 (规划中)
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```typescript
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import {
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AiCoreService,
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ThinkingMiddleware,
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CacheMiddleware,
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LoggingMiddleware
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} from '@cherry-studio/ai-core'
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// 创建带中间件的服务
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const aiService = new AiCoreService()
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.use(new CacheMiddleware({ ttl: 3600 }))
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.use(new LoggingMiddleware({ level: 'info' }))
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.use(new ThinkingMiddleware({ recordSteps: true }))
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// 使用增强的服务
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const result = await aiService.streamCompletions({
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provider: 'openai',
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model: 'gpt-4',
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messages: [{ role: 'user', content: 'Explain quantum computing' }],
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middleware: {
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thinking: { enabled: true },
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cache: { enabled: true, key: 'quantum-explanation' }
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}
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})
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|
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// 自定义中间件
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class CustomMiddleware implements Middleware {
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name = 'custom'
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priority = 100
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async execute(context: MiddlewareContext, next: () => Promise<void>): Promise<void> {
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console.log('Before request:', context.request)
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await next() // 执行下一个中间件或实际请求
|
||||
|
||||
console.log('After response:', context.response)
|
||||
}
|
||||
}
|
||||
|
||||
aiService.use(new CustomMiddleware())
|
||||
```
|
||||
|
||||
### 5.6 完整的工作流示例 (规划中)
|
||||
|
||||
```typescript
|
||||
import {
|
||||
createAiSdkClient,
|
||||
AiCoreService,
|
||||
MiddlewareChain,
|
||||
PreRequestMiddleware,
|
||||
StreamProcessingMiddleware,
|
||||
PostResponseMiddleware
|
||||
} from '@cherry-studio/ai-core'
|
||||
|
||||
// 创建完整的工作流
|
||||
const createEnhancedAiService = async () => {
|
||||
// 创建中间件链
|
||||
const middlewareChain = new MiddlewareChain()
|
||||
.use(new PreRequestMiddleware({
|
||||
validateApiKey: true,
|
||||
checkRateLimit: true
|
||||
}))
|
||||
.use(new StreamProcessingMiddleware({
|
||||
enableProgressTracking: true,
|
||||
chunkTransform: (chunk) => ({
|
||||
...chunk,
|
||||
timestamp: Date.now()
|
||||
})
|
||||
}))
|
||||
.use(new PostResponseMiddleware({
|
||||
saveToHistory: true,
|
||||
calculateMetrics: true
|
||||
}))
|
||||
|
||||
// 创建服务实例
|
||||
const service = new AiCoreService(middlewareChain.middlewares)
|
||||
|
||||
return service
|
||||
}
|
||||
|
||||
// 使用增强服务
|
||||
const enhancedService = await createEnhancedAiService()
|
||||
|
||||
const response = await enhancedService.completions({
|
||||
provider: 'anthropic',
|
||||
model: 'claude-3-sonnet',
|
||||
messages: [
|
||||
{ role: 'user', content: 'Write a technical blog post about AI middleware' }
|
||||
],
|
||||
options: {
|
||||
temperature: 0.7,
|
||||
maxTokens: 2000
|
||||
},
|
||||
middleware: {
|
||||
// 中间件特定配置
|
||||
thinking: { recordSteps: true },
|
||||
cache: { enabled: true, ttl: 1800 },
|
||||
logging: { level: 'debug' }
|
||||
}
|
||||
})
|
||||
```
|
||||
|
||||
## 6. 与现有架构的对比
|
||||
|
||||
| 方面 | 现有架构 | 新架构 (AI Core 包) |
|
||||
|------|----------|-------------------|
|
||||
| **代码组织** | 集成在主应用中 | 独立包，模块化管理 |
|
||||
| **Provider 管理** | 各自独立的 XxxApiClient | 统一的 Provider 注册表 + 工厂 |
|
||||
| **接口标准化** | 手动适配各 Provider 差异 | AI SDK 统一接口 |
|
||||
| **类型安全** | 部分类型安全 | 完整的 TypeScript 支持 |
|
||||
| **维护成本** | 每个 Provider 需要单独维护 | 统一维护，新 Provider 快速接入 |
|
||||
| **包体积** | 所有 Provider 都打包 | 按需加载，动态导入 |
|
||||
| **复用性** | 仅限当前项目 | 可跨项目复用 |
|
||||
| **扩展性** | 添加新 Provider 复杂 | 只需在注册表中添加配置 |
|
||||
|
||||
## 7. 简化设计原则
|
||||
|
||||
### 7.1 最小包装原则
|
||||
- 直接使用 AI SDK 的类型，不重复定义
|
||||
- 避免过度抽象和复杂的中间层
|
||||
- 保持与 AI SDK 原生 API 的一致性
|
||||
|
||||
### 7.2 动态导入优化
|
||||
```typescript
|
||||
// 按需加载，减少打包体积
|
||||
const module = await import('@ai-sdk/openai')
|
||||
const createOpenAI = module.createOpenAI
|
||||
```
|
||||
|
||||
### 7.3 类型安全
|
||||
```typescript
|
||||
// 直接使用 AI SDK 类型
|
||||
import { streamText, generateText } from 'ai'
|
||||
|
||||
// 避免重复定义，直接传递参数
|
||||
return streamText({ model, ...request })
|
||||
```
|
||||
|
||||
### 7.4 配置简化
|
||||
```typescript
|
||||
// 简化的 Provider 配置
|
||||
interface ProviderConfig {
|
||||
id: string // provider 标识
|
||||
name: string // 显示名称
|
||||
import: () => Promise<any> // 动态导入函数
|
||||
creatorFunctionName: string // 创建函数名
|
||||
}
|
||||
```
|
||||
|
||||
## 8. 技术要点
|
||||
|
||||
### 8.1 动态导入策略
|
||||
- **按需加载**：只加载用户实际使用的 providers
|
||||
- **缓存机制**：避免重复导入和初始化
|
||||
- **错误处理**：优雅处理导入失败的情况
|
||||
|
||||
### 8.2 依赖管理策略
|
||||
- **核心依赖**：`ai` 库作为必需依赖
|
||||
- **可选依赖**：所有 `@ai-sdk/*` 包都是可选的
|
||||
- **版本兼容**：支持 AI SDK v3-v5 版本
|
||||
|
||||
### 8.3 缓存策略
|
||||
- **客户端缓存**：基于 provider + options 的智能缓存
|
||||
- **配置哈希**：安全的 API key 哈希处理
|
||||
- **生命周期管理**：支持缓存清理和验证
|
||||
|
||||
## 9. 迁移策略
|
||||
|
||||
### 9.1 阶段一：包基础搭建 (Week 1) ✅ 已完成
|
||||
1. ✅ 创建简化的包结构
|
||||
2. ✅ 实现 Provider 注册表
|
||||
3. ✅ 创建统一客户端和工厂
|
||||
4. ✅ 配置构建和类型系统
|
||||
|
||||
### 9.2 阶段二：核心功能完善 (Week 2) ✅ 已完成
|
||||
1. ✅ 支持 19+ 官方 AI SDK providers
|
||||
2. ✅ 实现缓存和错误处理
|
||||
3. ✅ 完善类型安全和 API 设计
|
||||
4. ✅ 添加便捷函数和工具
|
||||
|
||||
### 9.3 阶段三：集成测试 (Week 3) 🔄 进行中
|
||||
1. 在 Cherry Studio 中集成测试
|
||||
2. 功能完整性验证
|
||||
3. 性能基准测试
|
||||
4. 兼容性问题修复
|
||||
|
||||
### 9.4 阶段四：中间件系统实现 (Week 4-5) 📋 规划中
|
||||
1. **中间件核心架构**
|
||||
- 实现 `MiddlewareChain` 和 `MiddlewareContext`
|
||||
- 创建中间件接口和基础类型
|
||||
- 建立中间件生命周期管理
|
||||
|
||||
2. **生命周期中间件**
|
||||
- `PreRequestMiddleware`：请求预处理
|
||||
- `PostResponseMiddleware`：响应后处理
|
||||
- `ErrorHandlingMiddleware`：错误处理
|
||||
- `CacheMiddleware`：缓存机制
|
||||
|
||||
3. **核心中间件**
|
||||
- `StreamProcessingMiddleware`：流式处理
|
||||
- `RequestValidationMiddleware`：请求验证
|
||||
- `ResponseTransformMiddleware`：响应转换
|
||||
|
||||
4. **集成到现有架构**
|
||||
- 在 `UniversalAiSdkClient` 中集成中间件链
|
||||
- 更新 `ApiClientFactory` 支持中间件配置
|
||||
- 创建 `AiCoreService` 统一服务接口
|
||||
|
||||
### 9.5 阶段五：特性中间件 (Week 6) 📋 规划中
|
||||
1. **Cherry Studio 特性中间件**
|
||||
- `ThinkingMiddleware`：思考过程记录
|
||||
- `ToolCallMiddleware`：工具调用处理
|
||||
- `WebSearchMiddleware`：网络搜索集成
|
||||
|
||||
2. **高级功能**
|
||||
- 中间件组合器和构建器
|
||||
- 动态中间件加载
|
||||
- 中间件配置管理
|
||||
|
||||
### 9.6 阶段六：文档和发布 (Week 7) 📋 规划中
|
||||
1. 完善使用文档和示例
|
||||
2. 中间件开发指南
|
||||
3. 准备发布到 npm
|
||||
4. 建立维护流程
|
||||
|
||||
### 9.7 阶段七：生态系统扩展 (Week 8+) 🚀 未来规划
|
||||
1. 社区中间件插件系统
|
||||
2. 可视化中间件编排工具
|
||||
3. 性能监控和分析
|
||||
4. 高级缓存策略
|
||||
|
||||
## 10. 预期收益
|
||||
|
||||
### 10.1 开发效率提升
|
||||
- **90%** 减少新 Provider 接入时间（只需添加注册表配置）
|
||||
- **70%** 减少维护工作量
|
||||
- **95%** 提升开发体验（统一接口 + 类型安全）
|
||||
- **独立开发**：可以独立于主应用开发和测试
|
||||
|
||||
### 10.2 代码质量改善
|
||||
- 完整的 TypeScript 类型安全
|
||||
- 统一的错误处理机制
|
||||
- 标准化的 AI SDK 接口
|
||||
- 更好的测试覆盖率
|
||||
|
||||
### 10.3 架构优势
|
||||
- **轻量级**：最小化的包装层
|
||||
- **可复用**：其他项目可以直接使用
|
||||
- **可维护**：独立版本管理和发布
|
||||
- **可扩展**：新 provider 只需配置即可
|
||||
|
||||
### 10.4 生态系统价值
|
||||
- 支持 AI SDK 的完整生态系统
|
||||
- 可以独立发布到 npm
|
||||
- 为开源社区贡献价值
|
||||
- 建立统一的 AI 基础设施
|
||||
|
||||
## 11. 风险评估与应对
|
||||
|
||||
### 11.1 技术风险
|
||||
- **AI SDK 版本兼容**：支持多版本兼容策略
|
||||
- **依赖管理**：合理使用 peerDependencies
|
||||
- **类型一致性**：直接使用 AI SDK 类型
|
||||
- **性能影响**：最小化包装层开销
|
||||
|
||||
### 11.2 迁移风险
|
||||
- **功能对等性**：确保所有现有功能都能实现
|
||||
- **API 兼容性**：提供平滑的迁移路径
|
||||
- **集成复杂度**：保持简单的集成方式
|
||||
- **学习成本**：提供清晰的使用文档
|
||||
|
||||
## 12. 总结
|
||||
|
||||
简化的 AI Core 架构专注于核心价值：
|
||||
|
||||
### 12.1 核心价值
|
||||
- **统一接口**：一套 API 支持 19+ AI providers
|
||||
- **按需加载**：只打包用户实际使用的 providers
|
||||
- **类型安全**：完整的 TypeScript 支持
|
||||
- **轻量高效**：最小化的包装层
|
||||
|
||||
### 12.2 设计哲学
|
||||
- **直接使用 AI SDK**：避免重复造轮子
|
||||
- **最小包装**：只在必要时添加抽象层
|
||||
- **开发者友好**：简单易用的 API 设计
|
||||
- **生态兼容**：充分利用 AI SDK 生态系统
|
||||
|
||||
### 12.3 成功关键
|
||||
1. **保持简单**：专注核心功能，避免过度设计
|
||||
2. **充分测试**：确保功能完整性和稳定性
|
||||
3. **渐进迁移**：平滑过渡，降低风险
|
||||
4. **文档完善**：支持快速上手和深度使用
|
||||
|
||||
这个简化的架构为 Cherry Studio 提供了一个轻量、高效、可维护的 AI 基础设施，同时为社区贡献了一个高质量的开源包。
|
||||
114
packages/aiCore/README.md
Normal file
114
packages/aiCore/README.md
Normal file
@ -0,0 +1,114 @@
|
||||
# @cherry-studio/ai-core
|
||||
|
||||
Cherry Studio AI Core 是一个基于 Vercel AI SDK 的统一 AI Provider 接口包。
|
||||
|
||||
## 特性
|
||||
|
||||
- 🚀 统一的 AI Provider 接口
|
||||
- 🔄 动态导入支持
|
||||
- 💾 智能缓存机制
|
||||
- 🛠️ TypeScript 支持
|
||||
- 📦 轻量级设计
|
||||
|
||||
## 支持的 Providers
|
||||
|
||||
基于 [AI SDK 官方支持的 providers](https://ai-sdk.dev/providers/ai-sdk-providers)：
|
||||
|
||||
**核心 Providers:**
|
||||
- OpenAI
|
||||
- Anthropic
|
||||
- Google Generative AI
|
||||
- Google Vertex AI
|
||||
- Mistral AI
|
||||
- xAI (Grok)
|
||||
- Azure OpenAI
|
||||
- Amazon Bedrock
|
||||
|
||||
**扩展 Providers:**
|
||||
- Cohere
|
||||
- Groq
|
||||
- Together.ai
|
||||
- Fireworks
|
||||
- DeepSeek
|
||||
- Cerebras
|
||||
- DeepInfra
|
||||
- Replicate
|
||||
- Perplexity
|
||||
- Fal AI
|
||||
- Vercel
|
||||
|
||||
## 安装
|
||||
|
||||
```bash
|
||||
npm install @cherry-studio/ai-core ai
|
||||
```
|
||||
|
||||
还需要安装你要使用的 AI SDK provider:
|
||||
|
||||
```bash
|
||||
npm install @ai-sdk/openai @ai-sdk/anthropic @ai-sdk/google
|
||||
```
|
||||
|
||||
## 使用示例
|
||||
|
||||
### 基础用法
|
||||
|
||||
```typescript
|
||||
import { createAiSdkClient } from '@cherry-studio/ai-core'
|
||||
|
||||
// 创建 OpenAI 客户端
|
||||
const client = await createAiSdkClient('openai', {
|
||||
apiKey: 'your-api-key'
|
||||
})
|
||||
|
||||
// 流式生成
|
||||
const result = await client.stream({
|
||||
modelId: 'gpt-4',
|
||||
messages: [
|
||||
{ role: 'user', content: 'Hello!' }
|
||||
]
|
||||
})
|
||||
|
||||
// 非流式生成
|
||||
const response = await client.generate({
|
||||
modelId: 'gpt-4',
|
||||
messages: [
|
||||
{ role: 'user', content: 'Hello!' }
|
||||
]
|
||||
})
|
||||
```
|
||||
|
||||
### 便捷函数
|
||||
|
||||
```typescript
|
||||
import { createOpenAIClient, streamGeneration } from '@cherry-studio/ai-core'
|
||||
|
||||
// 快速创建 OpenAI 客户端
|
||||
const client = await createOpenAIClient({
|
||||
apiKey: 'your-api-key'
|
||||
})
|
||||
|
||||
// 便捷流式生成
|
||||
const result = await streamGeneration(
|
||||
'openai',
|
||||
'gpt-4',
|
||||
[{ role: 'user', content: 'Hello!' }],
|
||||
{ apiKey: 'your-api-key' }
|
||||
)
|
||||
```
|
||||
|
||||
### 多 Provider 支持
|
||||
|
||||
```typescript
|
||||
import { createAiSdkClient } from '@cherry-studio/ai-core'
|
||||
|
||||
// 支持多种 AI providers
|
||||
const openaiClient = await createAiSdkClient('openai', { apiKey: 'openai-key' })
|
||||
const anthropicClient = await createAiSdkClient('anthropic', { apiKey: 'anthropic-key' })
|
||||
const googleClient = await createAiSdkClient('google', { apiKey: 'google-key' })
|
||||
const xaiClient = await createAiSdkClient('xai', { apiKey: 'xai-key' })
|
||||
```
|
||||
|
||||
## License
|
||||
|
||||
MIT
|
||||
117
packages/aiCore/package.json
Normal file
117
packages/aiCore/package.json
Normal file
@ -0,0 +1,117 @@
|
||||
{
|
||||
"name": "@cherry-studio/ai-core",
|
||||
"version": "1.0.0",
|
||||
"description": "Cherry Studio AI Core - Unified AI Provider Interface Based on Vercel AI SDK",
|
||||
"main": "dist/index.js",
|
||||
"types": "dist/index.d.ts",
|
||||
"scripts": {
|
||||
"build": "tsc",
|
||||
"dev": "tsc -w",
|
||||
"clean": "rm -rf dist"
|
||||
},
|
||||
"keywords": [
|
||||
"ai",
|
||||
"sdk",
|
||||
"openai",
|
||||
"anthropic",
|
||||
"google",
|
||||
"cherry-studio",
|
||||
"vercel-ai-sdk"
|
||||
],
|
||||
"author": "Cherry Studio",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@ai-sdk/amazon-bedrock": "^2.2.10",
|
||||
"@ai-sdk/anthropic": "^1.2.12",
|
||||
"@ai-sdk/azure": "^1.3.23",
|
||||
"@ai-sdk/cerebras": "^0.2.14",
|
||||
"@ai-sdk/cohere": "^1.2.10",
|
||||
"@ai-sdk/deepinfra": "^0.2.15",
|
||||
"@ai-sdk/deepseek": "^0.2.14",
|
||||
"@ai-sdk/fal": "^0.1.12",
|
||||
"@ai-sdk/fireworks": "^0.2.14",
|
||||
"@ai-sdk/google": "^1.2.19",
|
||||
"@ai-sdk/google-vertex": "^2.2.24",
|
||||
"@ai-sdk/groq": "^1.2.9",
|
||||
"@ai-sdk/mistral": "^1.2.8",
|
||||
"@ai-sdk/openai": "^1.3.22",
|
||||
"@ai-sdk/perplexity": "^1.1.9",
|
||||
"@ai-sdk/replicate": "^0.2.8",
|
||||
"@ai-sdk/togetherai": "^0.2.14",
|
||||
"@ai-sdk/vercel": "^0.0.1",
|
||||
"@ai-sdk/xai": "^1.2.16",
|
||||
"ai": "^4.3.16"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"@ai-sdk/amazon-bedrock": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/anthropic": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/azure": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/cerebras": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/cohere": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/deepinfra": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/deepseek": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/fal": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/fireworks": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/google": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/google-vertex": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/groq": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/mistral": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/openai": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/perplexity": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/replicate": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/together": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/vercel": {
|
||||
"optional": true
|
||||
},
|
||||
"@ai-sdk/xai": {
|
||||
"optional": true
|
||||
}
|
||||
},
|
||||
"devDependencies": {
|
||||
"typescript": "^5.0.0"
|
||||
},
|
||||
"files": [
|
||||
"dist"
|
||||
],
|
||||
"exports": {
|
||||
".": {
|
||||
"types": "./dist/index.d.ts",
|
||||
"import": "./dist/index.js",
|
||||
"require": "./dist/index.js"
|
||||
}
|
||||
}
|
||||
}
|
||||
341
packages/aiCore/src/clients/ApiClientFactory.ts
Normal file
341
packages/aiCore/src/clients/ApiClientFactory.ts
Normal file
@ -0,0 +1,341 @@
|
||||
/**
|
||||
* API Client Factory
|
||||
* 整合现有实现的改进版API客户端工厂
|
||||
*/
|
||||
|
||||
import { aiProviderRegistry } from '../providers/registry'
|
||||
import type { CacheStats as BaseCacheStats, ClientConfig as BaseClientConfig } from '../providers/types'
|
||||
import { UniversalAiSdkClient } from './UniversalAiSdkClient'
|
||||
|
||||
// 客户端配置接口
|
||||
export interface ClientConfig extends BaseClientConfig {}
|
||||
|
||||
// 缓存统计信息
|
||||
export interface CacheStats extends BaseCacheStats {}
|
||||
|
||||
// 错误类型
|
||||
export class ClientFactoryError extends Error {
|
||||
constructor(
|
||||
message: string,
|
||||
public providerId?: string,
|
||||
public cause?: Error
|
||||
) {
|
||||
super(message)
|
||||
this.name = 'ClientFactoryError'
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* API Client Factory
|
||||
* 统一管理和创建AI SDK客户端
|
||||
*/
|
||||
export class ApiClientFactory {
|
||||
private static instance: ApiClientFactory
|
||||
private static sdkClients = new Map<string, UniversalAiSdkClient>()
|
||||
private static lastCleanup = new Date()
|
||||
|
||||
private constructor() {
|
||||
// Private constructor for singleton pattern
|
||||
}
|
||||
|
||||
public static getInstance(): ApiClientFactory {
|
||||
if (!ApiClientFactory.instance) {
|
||||
ApiClientFactory.instance = new ApiClientFactory()
|
||||
}
|
||||
return ApiClientFactory.instance
|
||||
}
|
||||
|
||||
/**
|
||||
* [NEW METHOD] Create a new universal client for ai-sdk providers.
|
||||
* [新方法] 为 ai-sdk 提供商创建一个新的通用客户端。
|
||||
*/
|
||||
static async createAiSdkClient(providerId: string, options: any = {}): Promise<UniversalAiSdkClient> {
|
||||
try {
|
||||
// 验证provider是否支持
|
||||
if (!aiProviderRegistry.isSupported(providerId)) {
|
||||
throw new ClientFactoryError(`Provider "${providerId}" is not supported`, providerId)
|
||||
}
|
||||
|
||||
// 生成缓存键 - 对于有认证选项的providers，使用更精细的键
|
||||
const cacheKey = this.generateCacheKey(providerId, options)
|
||||
|
||||
// 检查缓存
|
||||
if (this.sdkClients.has(cacheKey)) {
|
||||
const cachedClient = this.sdkClients.get(cacheKey)!
|
||||
// 验证缓存的客户端是否仍然有效
|
||||
if (cachedClient.isInitialized() && cachedClient.validateConfig()) {
|
||||
return cachedClient
|
||||
} else {
|
||||
// 如果缓存的客户端无效，清理它
|
||||
this.sdkClients.delete(cacheKey)
|
||||
cachedClient.cleanup()
|
||||
}
|
||||
}
|
||||
|
||||
// 1. 创建一个新的通用客户端实例
|
||||
const client = new UniversalAiSdkClient(providerId, options)
|
||||
|
||||
// 2. 初始化它（这将执行动态导入）
|
||||
await client.initialize()
|
||||
|
||||
// 3. 验证配置
|
||||
if (!client.validateConfig()) {
|
||||
throw new ClientFactoryError(`Invalid configuration for provider "${providerId}"`, providerId)
|
||||
}
|
||||
|
||||
// 4. 缓存并返回
|
||||
this.sdkClients.set(cacheKey, client)
|
||||
return client
|
||||
} catch (error) {
|
||||
if (error instanceof ClientFactoryError) {
|
||||
throw error
|
||||
}
|
||||
throw new ClientFactoryError(
|
||||
`Failed to create client for provider "${providerId}": ${error instanceof Error ? error.message : 'Unknown error'}`,
|
||||
providerId,
|
||||
error instanceof Error ? error : undefined
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取缓存的客户端
|
||||
*/
|
||||
static getCachedClient(providerId: string, options: any = {}): UniversalAiSdkClient | undefined {
|
||||
const cacheKey = this.generateCacheKey(providerId, options)
|
||||
return this.sdkClients.get(cacheKey)
|
||||
}
|
||||
|
||||
/**
|
||||
* 检查客户端是否存在于缓存中
|
||||
*/
|
||||
static hasCachedClient(providerId: string, options: any = {}): boolean {
|
||||
const cacheKey = this.generateCacheKey(providerId, options)
|
||||
return this.sdkClients.has(cacheKey)
|
||||
}
|
||||
|
||||
/**
|
||||
* 生成缓存键
|
||||
*/
|
||||
private static generateCacheKey(providerId: string, options: any): string {
|
||||
// 创建一个包含关键配置的键，但不包含敏感信息的完整内容
|
||||
const keyData = {
|
||||
providerId,
|
||||
apiKey: options.apiKey ? this.hashApiKey(options.apiKey) : undefined,
|
||||
baseURL: options.baseURL,
|
||||
organization: options.organization,
|
||||
project: options.project,
|
||||
// 添加其他相关但非敏感的配置
|
||||
model: options.model,
|
||||
region: options.region
|
||||
}
|
||||
|
||||
// 移除undefined值
|
||||
Object.keys(keyData).forEach((key) => {
|
||||
if (keyData[key as keyof typeof keyData] === undefined) {
|
||||
delete keyData[key as keyof typeof keyData]
|
||||
}
|
||||
})
|
||||
|
||||
return JSON.stringify(keyData)
|
||||
}
|
||||
|
||||
/**
|
||||
* 对API Key进行哈希处理（用于缓存键）
|
||||
*/
|
||||
private static hashApiKey(apiKey: string): string {
|
||||
// 简单的哈希方法，只取前8个字符和后4个字符
|
||||
if (apiKey.length <= 12) {
|
||||
return apiKey.slice(0, 4) + '...'
|
||||
}
|
||||
return apiKey.slice(0, 8) + '...' + apiKey.slice(-4)
|
||||
}
|
||||
|
||||
/**
|
||||
* 清理缓存
|
||||
*/
|
||||
static clearCache(): void {
|
||||
// 清理所有客户端
|
||||
this.sdkClients.forEach((client) => {
|
||||
try {
|
||||
client.cleanup()
|
||||
} catch (error) {
|
||||
console.warn('Error cleaning up client:', error)
|
||||
}
|
||||
})
|
||||
|
||||
this.sdkClients.clear()
|
||||
this.lastCleanup = new Date()
|
||||
}
|
||||
|
||||
/**
|
||||
* 清理特定provider的缓存
|
||||
*/
|
||||
static clearProviderCache(providerId: string): void {
|
||||
const keysToDelete: string[] = []
|
||||
|
||||
this.sdkClients.forEach((client, key) => {
|
||||
if (key.includes(`"providerId":"${providerId}"`)) {
|
||||
try {
|
||||
client.cleanup()
|
||||
} catch (error) {
|
||||
console.warn(`Error cleaning up client for ${providerId}:`, error)
|
||||
}
|
||||
keysToDelete.push(key)
|
||||
}
|
||||
})
|
||||
|
||||
keysToDelete.forEach((key) => {
|
||||
this.sdkClients.delete(key)
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取缓存统计信息
|
||||
*/
|
||||
static getCacheStats(): CacheStats {
|
||||
return {
|
||||
size: this.sdkClients.size,
|
||||
keys: Array.from(this.sdkClients.keys()),
|
||||
lastCleanup: this.lastCleanup
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 预热指定的客户端
|
||||
*/
|
||||
static async warmupClients(configs: ClientConfig[]): Promise<void> {
|
||||
const warmupPromises = configs.map(async (config) => {
|
||||
try {
|
||||
const { providerId, ...options } = config
|
||||
await this.createAiSdkClient(providerId, options)
|
||||
console.log(`✅ Warmed up client for provider: ${providerId}`)
|
||||
} catch (error) {
|
||||
console.warn(`⚠️ Failed to warm up client for ${config.providerId}:`, error)
|
||||
}
|
||||
})
|
||||
|
||||
await Promise.allSettled(warmupPromises)
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取所有支持的providers信息
|
||||
*/
|
||||
static getSupportedProviders(): Array<{
|
||||
id: string
|
||||
name: string
|
||||
hasCachedClient: boolean
|
||||
}> {
|
||||
const providers = aiProviderRegistry.getAllProviders()
|
||||
|
||||
return providers.map((provider) => ({
|
||||
id: provider.id,
|
||||
name: provider.name,
|
||||
hasCachedClient: Array.from(this.sdkClients.keys()).some((key) => key.includes(`"providerId":"${provider.id}"`))
|
||||
}))
|
||||
}
|
||||
|
||||
/**
|
||||
* 批量创建客户端
|
||||
*/
|
||||
static async createMultipleClients(configs: ClientConfig[]): Promise<{
|
||||
success: Array<{ providerId: string; client: UniversalAiSdkClient }>
|
||||
errors: Array<{ providerId: string; error: Error }>
|
||||
}> {
|
||||
const success: Array<{ providerId: string; client: UniversalAiSdkClient }> = []
|
||||
const errors: Array<{ providerId: string; error: Error }> = []
|
||||
|
||||
await Promise.allSettled(
|
||||
configs.map(async (config) => {
|
||||
try {
|
||||
const { providerId, ...options } = config
|
||||
const client = await this.createAiSdkClient(providerId, options)
|
||||
success.push({ providerId, client })
|
||||
} catch (error) {
|
||||
errors.push({
|
||||
providerId: config.providerId,
|
||||
error: error instanceof Error ? error : new Error('Unknown error')
|
||||
})
|
||||
}
|
||||
})
|
||||
)
|
||||
|
||||
return { success, errors }
|
||||
}
|
||||
|
||||
/**
|
||||
* 健康检查 - 检查所有缓存客户端的状态
|
||||
*/
|
||||
static async healthCheck(): Promise<{
|
||||
healthy: number
|
||||
unhealthy: number
|
||||
total: number
|
||||
details: Array<{
|
||||
providerId: string
|
||||
status: 'healthy' | 'unhealthy'
|
||||
error?: string
|
||||
}>
|
||||
}> {
|
||||
const details: Array<{
|
||||
providerId: string
|
||||
status: 'healthy' | 'unhealthy'
|
||||
error?: string
|
||||
}> = []
|
||||
|
||||
let healthy = 0
|
||||
let unhealthy = 0
|
||||
|
||||
for (const [, client] of this.sdkClients) {
|
||||
try {
|
||||
const info = client.getProviderInfo()
|
||||
if (client.isInitialized() && client.validateConfig()) {
|
||||
healthy++
|
||||
details.push({
|
||||
providerId: info.id,
|
||||
status: 'healthy'
|
||||
})
|
||||
} else {
|
||||
unhealthy++
|
||||
details.push({
|
||||
providerId: info.id,
|
||||
status: 'unhealthy',
|
||||
error: 'Client not properly initialized or invalid config'
|
||||
})
|
||||
}
|
||||
} catch (error) {
|
||||
unhealthy++
|
||||
details.push({
|
||||
providerId: 'unknown',
|
||||
status: 'unhealthy',
|
||||
error: error instanceof Error ? error.message : 'Unknown error'
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
healthy,
|
||||
unhealthy,
|
||||
total: this.sdkClients.size,
|
||||
details
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 导出单例实例和便捷函数
|
||||
export const apiClientFactory = ApiClientFactory.getInstance()
|
||||
|
||||
// 便捷函数
|
||||
export const createAiSdkClient = (providerId: string, options?: any) =>
|
||||
ApiClientFactory.createAiSdkClient(providerId, options)
|
||||
|
||||
export const getCachedClient = (providerId: string, options?: any) =>
|
||||
ApiClientFactory.getCachedClient(providerId, options)
|
||||
|
||||
export const clearCache = () => ApiClientFactory.clearCache()
|
||||
|
||||
export const warmupClients = (configs: ClientConfig[]) => ApiClientFactory.warmupClients(configs)
|
||||
|
||||
export const healthCheck = () => ApiClientFactory.healthCheck()
|
||||
|
||||
// 默认导出
|
||||
export default ApiClientFactory
|
||||
201
packages/aiCore/src/clients/UniversalAiSdkClient.ts
Normal file
201
packages/aiCore/src/clients/UniversalAiSdkClient.ts
Normal file
@ -0,0 +1,201 @@
|
||||
/**
|
||||
* Universal AI SDK Client
|
||||
* 基于现有实现的简化版统一AI SDK客户端
|
||||
*/
|
||||
|
||||
import { generateText, streamText } from 'ai'
|
||||
|
||||
import { aiProviderRegistry } from '../providers/registry'
|
||||
|
||||
/**
|
||||
* Universal AI SDK Client
|
||||
* 统一的AI SDK客户端实现
|
||||
*/
|
||||
export class UniversalAiSdkClient {
|
||||
private provider: any // The instantiated provider (e.g., from createOpenAI)
|
||||
private initialized = false
|
||||
private providerConfig: any
|
||||
|
||||
constructor(
|
||||
private providerName: string,
|
||||
private options: any // API keys, etc.
|
||||
) {}
|
||||
|
||||
/**
|
||||
* 初始化客户端 - 异步步骤，因为涉及动态导入
|
||||
*/
|
||||
async initialize(): Promise<void> {
|
||||
if (this.initialized) return
|
||||
|
||||
// 获取Provider配置
|
||||
this.providerConfig = aiProviderRegistry.getProvider(this.providerName)
|
||||
if (!this.providerConfig) {
|
||||
throw new Error(`Provider "${this.providerName}" is not registered.`)
|
||||
}
|
||||
|
||||
try {
|
||||
// 使用注册表的动态导入功能
|
||||
const module = await this.providerConfig.import()
|
||||
|
||||
// 获取创建函数
|
||||
const creatorFunction = module[this.providerConfig.creatorFunctionName]
|
||||
|
||||
if (typeof creatorFunction !== 'function') {
|
||||
throw new Error(
|
||||
`Creator function "${this.providerConfig.creatorFunctionName}" not found in the imported module for provider "${this.providerName}".`
|
||||
)
|
||||
}
|
||||
|
||||
// 创建provider实例
|
||||
this.provider = creatorFunction(this.options)
|
||||
this.initialized = true
|
||||
} catch (error) {
|
||||
if (error instanceof Error) {
|
||||
throw new Error(`Failed to initialize provider "${this.providerName}": ${error.message}`)
|
||||
}
|
||||
throw new Error(`An unknown error occurred while initializing provider "${this.providerName}".`)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 检查是否已初始化
|
||||
*/
|
||||
isInitialized(): boolean {
|
||||
return this.initialized
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取特定模型实例的辅助方法
|
||||
*/
|
||||
private getModel(modelId: string): any {
|
||||
if (!this.initialized) throw new Error('Client not initialized')
|
||||
|
||||
// 大多数providers都有直接调用模式：provider(modelId)
|
||||
if (typeof this.provider === 'function') {
|
||||
return this.provider(modelId)
|
||||
}
|
||||
|
||||
throw new Error(`Unknown model access pattern for provider "${this.providerName}"`)
|
||||
}
|
||||
|
||||
/**
|
||||
* 实现流式逻辑，使用核心ai-sdk函数
|
||||
*/
|
||||
async stream(request: any): Promise<any> {
|
||||
if (!this.initialized) await this.initialize()
|
||||
|
||||
const model = this.getModel(request.modelId)
|
||||
|
||||
// 直接调用标准ai-sdk函数
|
||||
return streamText({
|
||||
model,
|
||||
...request
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* 实现非流式逻辑
|
||||
*/
|
||||
async generate(request: any): Promise<any> {
|
||||
if (!this.initialized) await this.initialize()
|
||||
|
||||
const model = this.getModel(request.modelId)
|
||||
|
||||
return generateText({
|
||||
model,
|
||||
...request
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* 验证配置
|
||||
*/
|
||||
validateConfig(): boolean {
|
||||
try {
|
||||
// 基础验证
|
||||
if (!this.providerName) return false
|
||||
if (!this.providerConfig) return false
|
||||
|
||||
// API Key验证（如果需要）
|
||||
if (this.requiresApiKey() && !this.options?.apiKey) {
|
||||
return false
|
||||
}
|
||||
|
||||
return true
|
||||
} catch {
|
||||
return false
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 检查Provider是否需要API Key
|
||||
*/
|
||||
private requiresApiKey(): boolean {
|
||||
// 大多数云服务Provider都需要API Key
|
||||
const noApiKeyProviders = ['local', 'ollama'] // 本地运行的Provider
|
||||
return !noApiKeyProviders.includes(this.providerName)
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取Provider信息
|
||||
*/
|
||||
getProviderInfo(): {
|
||||
id: string
|
||||
name: string
|
||||
isInitialized: boolean
|
||||
} {
|
||||
return {
|
||||
id: this.providerName,
|
||||
name: this.providerConfig?.name || this.providerName,
|
||||
isInitialized: this.initialized
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 清理资源
|
||||
*/
|
||||
cleanup(): void {
|
||||
this.provider = null
|
||||
this.initialized = false
|
||||
this.providerConfig = null
|
||||
}
|
||||
}
|
||||
|
||||
// 工厂函数，方便创建客户端
|
||||
export async function createUniversalClient(providerName: string, options: any = {}): Promise<UniversalAiSdkClient> {
|
||||
const client = new UniversalAiSdkClient(providerName, options)
|
||||
await client.initialize()
|
||||
return client
|
||||
}
|
||||
|
||||
// 便捷的流式生成函数
|
||||
export async function streamGeneration(
|
||||
providerName: string,
|
||||
modelId: string,
|
||||
messages: any[],
|
||||
options: any = {}
|
||||
): Promise<any> {
|
||||
const client = await createUniversalClient(providerName, options)
|
||||
|
||||
return client.stream({
|
||||
modelId,
|
||||
messages,
|
||||
...options
|
||||
})
|
||||
}
|
||||
|
||||
// 便捷的非流式生成函数
|
||||
export async function generateCompletion(
|
||||
providerName: string,
|
||||
modelId: string,
|
||||
messages: any[],
|
||||
options: any = {}
|
||||
): Promise<any> {
|
||||
const client = await createUniversalClient(providerName, options)
|
||||
|
||||
return client.generate({
|
||||
modelId,
|
||||
messages,
|
||||
...options
|
||||
})
|
||||
}
|
||||
130
packages/aiCore/src/index.ts
Normal file
130
packages/aiCore/src/index.ts
Normal file
@ -0,0 +1,130 @@
|
||||
/**
|
||||
* Cherry Studio AI Core Package
|
||||
* 基于 Vercel AI SDK 的统一 AI Provider 接口
|
||||
*/
|
||||
|
||||
// 核心导出
|
||||
export { ApiClientFactory, apiClientFactory } from './clients/ApiClientFactory'
|
||||
export { UniversalAiSdkClient } from './clients/UniversalAiSdkClient'
|
||||
export { aiProviderRegistry, PROVIDER_REGISTRY } from './providers/registry'
|
||||
|
||||
// 类型导出
|
||||
export type { CacheStats, ClientConfig, ClientFactoryError } from './clients/ApiClientFactory'
|
||||
export type { ProviderConfig } from './providers/registry'
|
||||
export type { ProviderError } from './providers/types'
|
||||
|
||||
// 便捷函数导出
|
||||
export { clearCache, createAiSdkClient, getCachedClient, healthCheck, warmupClients } from './clients/ApiClientFactory'
|
||||
export { createUniversalClient, generateCompletion, streamGeneration } from './clients/UniversalAiSdkClient'
|
||||
export { getAllProviders, getProvider, isProviderSupported, registerProvider } from './providers/registry'
|
||||
|
||||
// 默认导出 - 主要的工厂类
|
||||
export { ApiClientFactory as default } from './clients/ApiClientFactory'
|
||||
|
||||
// 导入内部使用的函数
|
||||
import { ApiClientFactory } from './clients/ApiClientFactory'
|
||||
import { clearCache, createAiSdkClient, healthCheck } from './clients/ApiClientFactory'
|
||||
import { aiProviderRegistry } from './providers/registry'
|
||||
import { getAllProviders, isProviderSupported } from './providers/registry'
|
||||
|
||||
// 包信息
|
||||
export const AI_CORE_VERSION = '1.0.0'
|
||||
export const AI_CORE_NAME = '@cherry-studio/ai-core'
|
||||
|
||||
// 包配置和实用工具
|
||||
export const AiCore = {
|
||||
version: AI_CORE_VERSION,
|
||||
name: AI_CORE_NAME,
|
||||
|
||||
// 快速创建客户端
|
||||
async createClient(providerId: string, options: any = {}) {
|
||||
return createAiSdkClient(providerId, options)
|
||||
},
|
||||
|
||||
// 获取支持的providers
|
||||
getSupportedProviders() {
|
||||
return getAllProviders()
|
||||
},
|
||||
|
||||
// 检查provider支持
|
||||
isSupported(providerId: string) {
|
||||
return isProviderSupported(providerId)
|
||||
},
|
||||
|
||||
// 获取缓存统计
|
||||
getCacheStats() {
|
||||
return ApiClientFactory.getCacheStats()
|
||||
},
|
||||
|
||||
// 健康检查
|
||||
async healthCheck() {
|
||||
return healthCheck()
|
||||
},
|
||||
|
||||
// 清理所有资源
|
||||
cleanup() {
|
||||
clearCache()
|
||||
aiProviderRegistry.cleanup()
|
||||
}
|
||||
}
|
||||
|
||||
// 便捷的预配置clients创建函数
|
||||
export const createOpenAIClient = async (options: { apiKey: string; baseURL?: string }) => {
|
||||
return createAiSdkClient('openai', options)
|
||||
}
|
||||
|
||||
export const createAnthropicClient = async (options: { apiKey: string; baseURL?: string }) => {
|
||||
return createAiSdkClient('anthropic', options)
|
||||
}
|
||||
|
||||
export const createGoogleClient = async (options: { apiKey: string; baseURL?: string }) => {
|
||||
return createAiSdkClient('google', options)
|
||||
}
|
||||
|
||||
export const createXAIClient = async (options: { apiKey: string; baseURL?: string }) => {
|
||||
return createAiSdkClient('xai', options)
|
||||
}
|
||||
|
||||
// 调试和开发工具
|
||||
export const DevTools = {
|
||||
// 列出所有注册的providers
|
||||
listProviders() {
|
||||
return aiProviderRegistry.getAllProviders().map((p) => ({
|
||||
id: p.id,
|
||||
name: p.name
|
||||
}))
|
||||
},
|
||||
|
||||
// 测试provider连接
|
||||
async testProvider(providerId: string, options: any) {
|
||||
try {
|
||||
const client = await createAiSdkClient(providerId, options)
|
||||
const info = client.getProviderInfo()
|
||||
return {
|
||||
success: true,
|
||||
providerId: info.id,
|
||||
name: info.name,
|
||||
isInitialized: info.isInitialized
|
||||
}
|
||||
} catch (error) {
|
||||
return {
|
||||
success: false,
|
||||
providerId,
|
||||
error: error instanceof Error ? error.message : 'Unknown error'
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
// 获取详细的缓存信息
|
||||
getCacheDetails() {
|
||||
const stats = ApiClientFactory.getCacheStats()
|
||||
const providers = aiProviderRegistry.getAllProviders()
|
||||
|
||||
return {
|
||||
cacheStats: stats,
|
||||
supportedProviders: providers.length,
|
||||
registeredProviders: aiProviderRegistry.getAllProviders().length,
|
||||
activeClients: stats.size
|
||||
}
|
||||
}
|
||||
}
|
||||
226
packages/aiCore/src/providers/registry.ts
Normal file
226
packages/aiCore/src/providers/registry.ts
Normal file
@ -0,0 +1,226 @@
|
||||
/**
|
||||
* AI Provider 注册表
|
||||
* 统一管理所有 AI SDK Providers 的动态导入和工厂函数
|
||||
*/
|
||||
|
||||
// Provider 配置接口（简化版）
|
||||
export interface ProviderConfig {
|
||||
id: string
|
||||
name: string
|
||||
// 动态导入函数
|
||||
import: () => Promise<any>
|
||||
// 创建函数名称
|
||||
creatorFunctionName: string
|
||||
}
|
||||
|
||||
/**
|
||||
* AI SDK Provider 注册表
|
||||
* 管理所有支持的 AI Providers 及其动态导入
|
||||
*/
|
||||
export class AiProviderRegistry {
|
||||
private static instance: AiProviderRegistry
|
||||
private registry = new Map<string, ProviderConfig>()
|
||||
|
||||
private constructor() {
|
||||
this.initializeProviders()
|
||||
}
|
||||
|
||||
public static getInstance(): AiProviderRegistry {
|
||||
if (!AiProviderRegistry.instance) {
|
||||
AiProviderRegistry.instance = new AiProviderRegistry()
|
||||
}
|
||||
return AiProviderRegistry.instance
|
||||
}
|
||||
|
||||
/**
|
||||
* 初始化所有支持的 Providers
|
||||
* 基于 AI SDK 官方文档: https://ai-sdk.dev/providers/ai-sdk-providers
|
||||
*/
|
||||
private initializeProviders(): void {
|
||||
const providers: ProviderConfig[] = [
|
||||
// 核心 AI SDK Providers
|
||||
{
|
||||
id: 'openai',
|
||||
name: 'OpenAI',
|
||||
import: () => import('@ai-sdk/openai'),
|
||||
creatorFunctionName: 'createOpenAI'
|
||||
},
|
||||
{
|
||||
id: 'anthropic',
|
||||
name: 'Anthropic',
|
||||
import: () => import('@ai-sdk/anthropic'),
|
||||
creatorFunctionName: 'createAnthropic'
|
||||
},
|
||||
{
|
||||
id: 'google',
|
||||
name: 'Google Generative AI',
|
||||
import: () => import('@ai-sdk/google'),
|
||||
creatorFunctionName: 'createGoogleGenerativeAI'
|
||||
},
|
||||
{
|
||||
id: 'google-vertex',
|
||||
name: 'Google Vertex AI',
|
||||
import: () => import('@ai-sdk/google-vertex'),
|
||||
creatorFunctionName: 'createVertex'
|
||||
},
|
||||
{
|
||||
id: 'mistral',
|
||||
name: 'Mistral AI',
|
||||
import: () => import('@ai-sdk/mistral'),
|
||||
creatorFunctionName: 'createMistral'
|
||||
},
|
||||
{
|
||||
id: 'xai',
|
||||
name: 'xAI (Grok)',
|
||||
import: () => import('@ai-sdk/xai'),
|
||||
creatorFunctionName: 'createXai'
|
||||
},
|
||||
{
|
||||
id: 'azure',
|
||||
name: 'Azure OpenAI',
|
||||
import: () => import('@ai-sdk/azure'),
|
||||
creatorFunctionName: 'createAzure'
|
||||
},
|
||||
{
|
||||
id: 'bedrock',
|
||||
name: 'Amazon Bedrock',
|
||||
import: () => import('@ai-sdk/amazon-bedrock'),
|
||||
creatorFunctionName: 'createAmazonBedrock'
|
||||
},
|
||||
{
|
||||
id: 'cohere',
|
||||
name: 'Cohere',
|
||||
import: () => import('@ai-sdk/cohere'),
|
||||
creatorFunctionName: 'createCohere'
|
||||
},
|
||||
{
|
||||
id: 'groq',
|
||||
name: 'Groq',
|
||||
import: () => import('@ai-sdk/groq'),
|
||||
creatorFunctionName: 'createGroq'
|
||||
},
|
||||
{
|
||||
id: 'together',
|
||||
name: 'Together.ai',
|
||||
import: () => import('@ai-sdk/togetherai'),
|
||||
creatorFunctionName: 'createTogetherAI'
|
||||
},
|
||||
{
|
||||
id: 'fireworks',
|
||||
name: 'Fireworks',
|
||||
import: () => import('@ai-sdk/fireworks'),
|
||||
creatorFunctionName: 'createFireworks'
|
||||
},
|
||||
{
|
||||
id: 'deepseek',
|
||||
name: 'DeepSeek',
|
||||
import: () => import('@ai-sdk/deepseek'),
|
||||
creatorFunctionName: 'createDeepSeek'
|
||||
},
|
||||
{
|
||||
id: 'cerebras',
|
||||
name: 'Cerebras',
|
||||
import: () => import('@ai-sdk/cerebras'),
|
||||
creatorFunctionName: 'createCerebras'
|
||||
},
|
||||
{
|
||||
id: 'deepinfra',
|
||||
name: 'DeepInfra',
|
||||
import: () => import('@ai-sdk/deepinfra'),
|
||||
creatorFunctionName: 'createDeepInfra'
|
||||
},
|
||||
{
|
||||
id: 'replicate',
|
||||
name: 'Replicate',
|
||||
import: () => import('@ai-sdk/replicate'),
|
||||
creatorFunctionName: 'createReplicate'
|
||||
},
|
||||
{
|
||||
id: 'perplexity',
|
||||
name: 'Perplexity',
|
||||
import: () => import('@ai-sdk/perplexity'),
|
||||
creatorFunctionName: 'createPerplexity'
|
||||
},
|
||||
{
|
||||
id: 'fal',
|
||||
name: 'Fal AI',
|
||||
import: () => import('@ai-sdk/fal'),
|
||||
creatorFunctionName: 'createFal'
|
||||
},
|
||||
{
|
||||
id: 'vercel',
|
||||
name: 'Vercel',
|
||||
import: () => import('@ai-sdk/vercel'),
|
||||
creatorFunctionName: 'createVercel'
|
||||
}
|
||||
]
|
||||
|
||||
// 初始化注册表
|
||||
providers.forEach((config) => {
|
||||
this.registry.set(config.id, config)
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取所有已注册的 Providers
|
||||
*/
|
||||
public getAllProviders(): ProviderConfig[] {
|
||||
return Array.from(this.registry.values())
|
||||
}
|
||||
|
||||
/**
|
||||
* 根据 ID 获取 Provider 配置
|
||||
*/
|
||||
public getProvider(id: string): ProviderConfig | undefined {
|
||||
return this.registry.get(id)
|
||||
}
|
||||
|
||||
/**
|
||||
* 检查 Provider 是否支持（是否已注册）
|
||||
*/
|
||||
public isSupported(id: string): boolean {
|
||||
return this.registry.has(id)
|
||||
}
|
||||
|
||||
/**
|
||||
* 注册新的 Provider（用于扩展）
|
||||
*/
|
||||
public registerProvider(config: ProviderConfig): void {
|
||||
this.registry.set(config.id, config)
|
||||
}
|
||||
|
||||
/**
|
||||
* 清理资源
|
||||
*/
|
||||
public cleanup(): void {
|
||||
this.registry.clear()
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取兼容现有实现的注册表格式
|
||||
*/
|
||||
public getCompatibleRegistry(): Record<string, { import: () => Promise<any>; creatorFunctionName: string }> {
|
||||
const compatibleRegistry: Record<string, { import: () => Promise<any>; creatorFunctionName: string }> = {}
|
||||
|
||||
this.getAllProviders().forEach((provider) => {
|
||||
compatibleRegistry[provider.id] = {
|
||||
import: provider.import,
|
||||
creatorFunctionName: provider.creatorFunctionName
|
||||
}
|
||||
})
|
||||
|
||||
return compatibleRegistry
|
||||
}
|
||||
}
|
||||
|
||||
// 导出单例实例
|
||||
export const aiProviderRegistry = AiProviderRegistry.getInstance()
|
||||
|
||||
// 便捷函数
|
||||
export const getProvider = (id: string) => aiProviderRegistry.getProvider(id)
|
||||
export const getAllProviders = () => aiProviderRegistry.getAllProviders()
|
||||
export const isProviderSupported = (id: string) => aiProviderRegistry.isSupported(id)
|
||||
export const registerProvider = (config: ProviderConfig) => aiProviderRegistry.registerProvider(config)
|
||||
|
||||
// 兼容现有实现的导出
|
||||
export const PROVIDER_REGISTRY = aiProviderRegistry.getCompatibleRegistry()
|
||||
47
packages/aiCore/src/providers/types.ts
Normal file
47
packages/aiCore/src/providers/types.ts
Normal file
@ -0,0 +1,47 @@
|
||||
/**
|
||||
* Provider 相关核心类型定义
|
||||
* 只定义必要的接口，其他类型直接使用 AI SDK
|
||||
*/
|
||||
|
||||
// Provider 配置接口（简化版）
|
||||
export interface ProviderConfig {
|
||||
id: string
|
||||
name: string
|
||||
import: () => Promise<any>
|
||||
creatorFunctionName: string
|
||||
}
|
||||
|
||||
// API 客户端工厂接口
|
||||
export interface ApiClientFactory {
|
||||
createAiSdkClient(providerId: string, options?: any): Promise<any>
|
||||
getCachedClient(providerId: string, options?: any): any
|
||||
clearCache(): void
|
||||
}
|
||||
|
||||
// 客户端配置
|
||||
export interface ClientConfig {
|
||||
providerId: string
|
||||
apiKey?: string
|
||||
baseURL?: string
|
||||
[key: string]: any
|
||||
}
|
||||
|
||||
// 错误类型
|
||||
export class ProviderError extends Error {
|
||||
constructor(
|
||||
message: string,
|
||||
public providerId: string,
|
||||
public code?: string,
|
||||
public cause?: Error
|
||||
) {
|
||||
super(message)
|
||||
this.name = 'ProviderError'
|
||||
}
|
||||
}
|
||||
|
||||
// 缓存统计信息
|
||||
export interface CacheStats {
|
||||
size: number
|
||||
keys: string[]
|
||||
lastCleanup?: Date
|
||||
}
|
||||
26
packages/aiCore/tsconfig.json
Normal file
26
packages/aiCore/tsconfig.json
Normal file
@ -0,0 +1,26 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"target": "ES2020",
|
||||
"module": "ESNext",
|
||||
"moduleResolution": "node",
|
||||
"declaration": true,
|
||||
"outDir": "./dist",
|
||||
"rootDir": "./src",
|
||||
"strict": true,
|
||||
"esModuleInterop": true,
|
||||
"skipLibCheck": true,
|
||||
"forceConsistentCasingInFileNames": true,
|
||||
"resolveJsonModule": true,
|
||||
"allowSyntheticDefaultImports": true,
|
||||
"noEmitOnError": false,
|
||||
"experimentalDecorators": true,
|
||||
"emitDecoratorMetadata": true
|
||||
},
|
||||
"include": [
|
||||
"src/**/*"
|
||||
],
|
||||
"exclude": [
|
||||
"node_modules",
|
||||
"dist"
|
||||
]
|
||||
}
|
||||
598
yarn.lock
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checksum: 10c0/1696ae849522cea6ba4f4f3beac1f6655d335e51b42d99215e196a718adced0069e48deaaf77f7e89f526ab31de5b5c91016027da182438e6f9280be2f3d5265
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"through2@npm:4.0.2":
|
||||
version: 4.0.2
|
||||
resolution: "through2@npm:4.0.2"
|
||||
@ -17673,7 +18261,7 @@ __metadata:
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"tslib@npm:^2.0.1, tslib@npm:^2.1.0, tslib@npm:^2.4.0, tslib@npm:^2.8.1":
|
||||
"tslib@npm:^2.0.1, tslib@npm:^2.1.0, tslib@npm:^2.4.0, tslib@npm:^2.6.2, tslib@npm:^2.8.1":
|
||||
version: 2.8.1
|
||||
resolution: "tslib@npm:2.8.1"
|
||||
checksum: 10c0/9c4759110a19c53f992d9aae23aac5ced636e99887b51b9e61def52611732872ff7668757d4e4c61f19691e36f4da981cd9485e869b4a7408d689f6bf1f14e62
|
||||
@ -17753,7 +18341,7 @@ __metadata:
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"typescript@npm:^5.4.3, typescript@npm:^5.6.2":
|
||||
"typescript@npm:^5.0.0, typescript@npm:^5.4.3, typescript@npm:^5.6.2":
|
||||
version: 5.8.3
|
||||
resolution: "typescript@npm:5.8.3"
|
||||
bin:
|
||||
@ -17763,7 +18351,7 @@ __metadata:
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"typescript@patch:typescript@npm%3A^5.4.3#optional!builtin<compat/typescript>, typescript@patch:typescript@npm%3A^5.6.2#optional!builtin<compat/typescript>":
|
||||
"typescript@patch:typescript@npm%3A^5.0.0#optional!builtin<compat/typescript>, typescript@patch:typescript@npm%3A^5.4.3#optional!builtin<compat/typescript>, typescript@patch:typescript@npm%3A^5.6.2#optional!builtin<compat/typescript>":
|
||||
version: 5.8.3
|
||||
resolution: "typescript@patch:typescript@npm%3A5.8.3#optional!builtin<compat/typescript>::version=5.8.3&hash=5786d5"
|
||||
bin:
|
||||
|
||||
Loading…
Reference in New Issue
Block a user