- Added detailed usage examples for the native provider registry in the README.md, demonstrating how to create and utilize custom provider registries.
- Updated ApiClientFactory to enforce type safety for model instances.
- Refactored PluginEnabledAiClient methods to support both built-in logic and custom registry usage for text and object generation, improving flexibility and usability.
feat: 为插件系统实现中间件
feat: 实现自定义的思考中间件
- Updated package.json and related files to reflect the correct naming convention for the @cherrystudio/ai-core package.
- Adjusted import paths in various files to ensure consistency with the new package name.
- Enhanced type resolution in tsconfig.web.json to align with the updated package structure.
- Introduced `PluginEnabledAiClient` for a more flexible client interface with integrated plugin support.
- Updated `ApiClientFactory` and `UniversalAiSdkClient` to utilize new provider settings for improved type safety.
- Added a comprehensive plugin management system, allowing for dynamic plugin registration and execution.
- Enhanced the provider registry to include new AI providers and updated existing provider settings.
- Removed deprecated files and streamlined the codebase for better maintainability and clarity.
- Updated documentation to reflect new features and usage examples for the plugin system.
- 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.
