- Added a new example file demonstrating the usage of the Hub Provider for routing to multiple underlying providers.
- Implemented the Hub Provider to support model ID parsing and routing based on a specified format.
- Refactored provider management by introducing a Registry Management class for better organization and retrieval of provider instances.
- Updated the Provider Initializer to streamline the initialization and registration of providers, enhancing overall flexibility and usability.
- Removed outdated files related to provider creation and dynamic registration to simplify the codebase.
- Upgraded `@ai-sdk/openai` to version 2.0.19 in `yarn.lock` and `package.json` for improved functionality and compatibility.
- Updated `@ai-sdk/provider-utils` to version 3.0.5, enhancing dependency management.
- Added `TypedToolError` type export in `index.ts` for better error handling.
- Removed unnecessary console logs in `webSearchPlugin` for cleaner code.
- Refactored type handling in `createProvider` to ensure proper type assertions.
- Enforced `topicId` as a required field in the `ModernAiProvider` configuration for stricter validation.
- Updated the `defaultParseToolUse` function to return both parsed results and remaining content, improving usability.
- Introduced a new `TagExtractor` class for flexible tag extraction, supporting various tag formats.
- Modified type definitions to reflect changes in parsing function signatures.
- Enhanced handling of tool call events in the `ToolCallChunkHandler` for better integration with the new parsing logic.
- Added `isBuiltIn` property to the `MCPTool` interface for clearer tool categorization.
- Introduced a new Zod-based schema for provider validation, improving type safety and consistency.
- Added support for dynamic provider IDs and enhanced the provider registration process.
- Updated the AiProviderRegistry to utilize the new validation functions, ensuring robust provider management.
- Added tests for the provider registry to validate dynamic imports and functionality.
- Updated yarn.lock to reflect the latest dependency versions.
- Added support for image generation in the `RuntimeExecutor` with a new `generateImage` method.
- Updated `aiCore` package to include `vitest` for testing, with new test scripts added.
- Enhanced type definitions to accommodate image model handling in plugins.
- Introduced new methods for resolving and executing image generation with plugins.
- Updated package dependencies in `package.json` to include `vitest` and ensure compatibility with new features.
- Updated exports in index.ts and related files to streamline provider and model management.
- Introduced a new ModelCreator module for better encapsulation of model creation logic.
- Refactored type imports to enhance clarity and maintainability across the codebase.
- Removed deprecated provider configurations and cleaned up unused code for better performance.
- Updated version in package.json to 1.0.0-alpha.2.
- Added new path mapping for @cherrystudio/ai-core in tsconfig.web.json.
- Refactored export paths in tsdown.config.ts and index.ts for consistency.
- Cleaned up type exports in index.ts and types.ts for better organization.
- Added `webSearchTool` to facilitate web search functionality within the SDK.
- Updated `AiSdkToChunkAdapter` to utilize `BaseTool` for improved type handling.
- Refactored `transformParameters` to support `webSearchProviderId` for enhanced web search integration.
- Introduced new `BaseTool` type structure to unify tool definitions across the codebase.
- Adjusted imports and type definitions to align with the new tool handling logic.
- Added `ReasoningPart`, `FilePart`, and `ImagePart` to type exports in `index.ts`.
- Refactored `transformParameters.ts` to include `enableWebSearch` option and integrate web search tools.
- Introduced new utility `getWebSearchTools` in `websearch.ts` to manage web search tool configurations based on model type.
- Commented out deprecated code in `smoothReasoningPlugin.ts` and `textPlugin.ts` for potential removal.
- Introduced new high-level APIs for model creation and configuration, improving usability for advanced users.
- Enhanced the RuntimeExecutor to support both direct model usage and model ID resolution, allowing for more flexible execution options.
- Updated existing methods to accept middleware configurations, streamlining the integration of custom processing logic.
- Refactored the plugin system to better accommodate middleware, enhancing the overall extensibility of the AI Core.
- Improved documentation to reflect the new capabilities and usage patterns for the runtime APIs.
- Restructured the AI Core documentation to reflect a simplified two-layer architecture, focusing on clear responsibilities between models and runtime layers.
- Removed the orchestration layer and consolidated its functionality into the runtime layer, streamlining the API for users.
- Introduced a new runtime executor for managing plugin-enhanced AI calls, improving the handling of execution and middleware.
- Updated the core modules to enhance type safety and usability, including comprehensive type definitions for model creation and execution configurations.
- Removed obsolete files and refactored existing code to improve organization and maintainability across the SDK.
- Updated the AI Core documentation to reflect the new architecture and design principles, emphasizing modularity and type safety.
- Refactored the client structure by removing obsolete files and consolidating client creation logic into a more streamlined format.
- Introduced a new core module for managing execution and middleware, improving the overall organization of the codebase.
- Enhanced the orchestration layer to provide a clearer API for users, integrating the creation and execution processes more effectively.
- Added comprehensive type definitions and utility functions for better type safety and usability across the SDK.
- Introduced new utility functions for creating and merging provider options, improving type safety and usability.
- Added comprehensive examples for OpenAI, Anthropic, Google, and generic provider options to demonstrate usage.
- Refactored existing code to streamline provider configuration and enhance clarity in the options management.
- Updated the PluginEnabledAiClient to simplify the handling of model parameters and improve overall functionality.
- Introduced the @ai-sdk/openai-compatible package to support compatibility with OpenAI.
- Added a new ProviderConfigFactory and ProviderConfigBuilder for streamlined provider configuration.
- Updated the provider registry to include the new Google Vertex AI import path.
- Enhanced the index.ts to export new provider configuration utilities for better type safety and usability.
- Refactored ApiService and middleware to integrate the new provider configurations effectively.
- Added smoothStream to the middleware exports in index.ts for improved streaming capabilities.
- Updated PluginEnabledAiClient to conditionally apply middlewares, removing the default simulateStreamingMiddleware.
- Modified ModernAiProvider to utilize smoothStream in streamText, enhancing text processing with configurable chunking and delay options.
- Added AiSdkMiddlewareBuilder for dynamic middleware construction based on various conditions.
- Updated ModernAiProvider to utilize new middleware configuration, improving flexibility in handling completions.
- Refactored ApiService to pass middleware configuration during AI completions, enabling better control over processing.
- Introduced new README documentation for the middleware builder, outlining usage and supported conditions.
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.
- Added @cherry-studio/ai-core as a workspace dependency in package.json for improved modularity.
- Updated tsconfig to include paths for the new AI core package, enhancing type resolution.
- Refactored aiCore package to use source files directly, improving build efficiency.
- Introduced a new AiSdkToChunkAdapter for converting AI SDK streams to Cherry Studio chunk format.
- Implemented a modernized AI provider interface in index_new.ts, allowing fallback to legacy implementations.
- Enhanced parameter transformation logic for better integration with AI SDK features.
- Updated ApiService to utilize the new AI provider, streamlining chat completion requests.
- 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.
- Introduced `createImageClient` method in `ApiClientFactory` to support image generation for various providers.
- Updated `UniversalAiSdkClient` to include `generateImage` method, allowing image generation through the unified client interface.
- Refactored client creation functions to utilize the new `ProviderOptions` type for improved type safety.
- Enhanced the provider registry to indicate which providers support image generation, streamlining client creation and usage.
- Updated type definitions in `types.ts` to reflect changes in client options and middleware support.
- Introduced a plugin system in the AI Core package, allowing for flexible request handling and middleware integration.
- Added support for various hook types: First, Sequential, Parallel, and Stream, enabling developers to customize request processing.
- Implemented a PluginManager for managing and executing plugins, enhancing extensibility and modularity.
- Updated architecture documentation to reflect new plugin capabilities and usage examples.
- Included new middleware types and examples to demonstrate the plugin system's functionality.
This update aims to improve the developer experience by providing a robust framework for extending AI Core's capabilities.
- 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.
