- Updated the `createModel` function to accept a simplified `ModelConfig` interface, enhancing clarity and usability.
- Refactored `createBaseModel` to destructure parameters for better readability and maintainability.
- Removed the `ModelCreator.ts` file as its functionality has been integrated into the factory functions.
- Adjusted type definitions in `types.ts` to reflect changes in model configuration structure, ensuring consistency across the codebase.
- Introduced a new `webSearchPlugin` to provide unified web search functionality across multiple AI providers.
- Added helper functions for adapting web search parameters for OpenAI, Gemini, and Anthropic providers.
- Updated the built-in plugin index to export the new web search plugin and its configuration type.
- Created a new `helper.ts` file to encapsulate web search adaptation logic and support checks for provider compatibility.
- Introduced `isOpenAIChatCompletionOnlyModel` utility function to determine if a model ID corresponds to OpenAI's chat completion-only models.
- Updated `createBaseModel` function to utilize the new utility for improved handling of OpenAI provider responses in strict mode.
- Refactored reasoning parameters in `getOpenAIReasoningParams` for consistency and clarity.
- Updated the `createBaseModel` function to handle OpenAI provider responses in strict mode.
- Modified `providerToAiSdkConfig` to include specific options for OpenAI when in strict mode.
- Introduced a new utility module `providerParams.ts` for managing provider-specific parameters, including OpenAI, Anthropic, and Gemini configurations.
- Added functions to retrieve service tiers, specific parameters, and reasoning efforts for various providers, improving overall provider management.
- Updated the OpenRouter provider dependency in `package.json` and `yarn.lock` to version 0.7.2.
- Added a new function `createOpenRouterOptions` in `factory.ts` for creating OpenRouter provider options.
- Updated type definitions in `types.ts` and `registry.ts` to include OpenRouter provider settings, enhancing provider management.
- Commented out the OpenRouter provider in `registry.ts` and related configurations due to excessive bugs.
- Simplified reasoning logic in `transformParameters.ts` and `options.ts` by removing unnecessary checks for `enableReasoning`.
- Enhanced logging in `transformParameters.ts` to provide better insights into reasoning capabilities.
- Updated `getReasoningEffort` to handle cases where reasoning effort is not defined, improving model compatibility.
- Commented out the provider support check in `RuntimeExecutor` to streamline initialization.
- Updated `providerToAiSdkConfig` to utilize `AiCore.isSupported` for improved provider validation.
- Enhanced middleware configuration in `ModernAiProvider` to ensure tools are only added when enabled and available.
- Added comments in `transformParameters` for clarity on parameter handling and plugin activation.
- Added `mcpPromptPlugin.ts` to encapsulate MCP Prompt functionality, providing a structured approach for tool calls within prompts.
- Updated `index.ts` to reference the new `mcpPromptPlugin`, enhancing modularity and clarity in the built-in plugins.
- Removed the outdated `example-plugins.ts` file to streamline the plugin directory and focus on essential components.
- Commented out console log statements in the `createMCPPromptPlugin` to reduce noise during execution.
- Maintained the structure and functionality of the plugin while improving readability and performance.
- Added patches for `@ai-sdk/google-vertex` and `@ai-sdk/openai-compatible` to enhance functionality and fix issues.
- Updated `package.json` to reflect new dependency versions and patch paths.
- Refactored `transformParameters` and `ApiService` to support new tool configurations and improve parameter handling.
- Introduced utility functions for setting up tools and managing options, enhancing the overall integration of tools within the AI SDK.
- Updated `AiRequestContext` to enforce `recursiveCall` and added `isRecursiveCall` for better state management.
- Modified `createContext` to initialize `recursiveCall` with a placeholder function.
- Enhanced `MCPPromptPlugin` to utilize a custom `createSystemMessage` function for improved message handling during recursive calls.
- Refactored `PluginEngine` to manage recursive call states, ensuring proper execution flow and context integrity.
- Updated `tsconfig.web.json` to support wildcard imports for `@cherrystudio/ai-core`.
- Enhanced `package.json` to include type definitions and imports for built-in plugins.
- Introduced recursive call functionality in `PluginManager` and `PluginEngine`, allowing for improved handling of tool interactions.
- Added `MCPPromptPlugin` to facilitate tool calls within prompts, enabling recursive processing of tool results.
- Refactored `transformStream` methods across plugins to accommodate new parameters and improve type safety.
- Changed `pluginClient` to `pluginEngine` in `RuntimeExecutor` for clarity and consistency.
- Updated method calls in `RuntimeExecutor` to use the new `pluginEngine`.
- Enhanced `AiSdkMiddlewareBuilder` to include `mcpTools` in the middleware configuration.
- Added `MCPPromptPlugin` to support tool calls within prompts, enabling recursive processing and improved handling of tool interactions.
- Updated `ApiService` to pass `mcpTools` during chat completion requests, enhancing integration with the new plugin system.
- Introduced `reasonPlugin` and `textPlugin` to improve chunk processing and handling of reasoning content.
- Updated `transformStream` method signatures for better type safety and usability.
- Enhanced `ThinkingTimeMiddleware` to accurately track thinking time using `performance.now()`.
- Refactored `ThinkingBlock` component to utilize block thinking time directly, improving performance and clarity.
- Added logging for middleware builder to assist in debugging and monitoring middleware configurations.
- 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 ToolCallChunkHandler for managing tool call events and results, improving the handling of tool interactions.
- Updated AiSdkToChunkAdapter to utilize the new handler, streamlining the processing of tool call chunks.
- Refactored transformParameters to support dynamic tool integration and improved parameter handling.
- Adjusted provider mapping in factory.ts to include new provider types, enhancing compatibility with various AI services.
- Removed obsolete cherryStudioTransformPlugin to clean up the codebase and focus on more relevant functionality.
- Introduced a new OpenAI Compatible provider to the AiProviderRegistry, allowing for integration with the @ai-sdk/openai-compatible package.
- Updated provider configuration logic to support the new provider, including adjustments to API host formatting and options management.
- Refactored middleware to streamline handling of OpenAI-specific configurations.
- Introduced a patch for the @ai-sdk/google-vertex package to improve URL handling based on region.
- Added a new utility function to format private keys, ensuring correct PEM structure and validation.
- Updated the ProviderConfigBuilder to utilize the new private key formatting function for Google credentials.
- Created a pnpm workspace configuration to manage patched dependencies effectively.
- 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.
- Added support for Google Vertex AI credentials in the provider configuration.
- Refactored the VertexAPIClient to handle both standard and VertexProvider types.
- Implemented utility functions to check Vertex AI configuration completeness and create VertexProvider instances.
- Updated provider mapping in index_new.ts to ensure proper handling of Vertex AI settings.
- 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.
- Changed the type of options in ClientConfig to 'any' for flexibility.
- Overloaded createImageClient method to support different provider settings.
- Added vertexai mapping to the provider type mapping in index_new.ts for enhanced compatibility.
- Updated PluginEnabledAiClient to streamline the handling of experimental_transform parameters.
- Adjusted ModernAiProvider's smoothStream configuration for better chunking of text, enhancing processing efficiency.
- Re-enabled block updates in messageThunk for improved state management.
- 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.
- 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.
