📄 CodeRabbit Inference Engine (CLAUDE.md)

Use English for logs and comments

Files:

• src/shared/presenter.d.ts
• src/renderer/src/components/TitleView.vue
• src/renderer/src/stores/chat.ts
• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts
• src/main/presenter/sqlitePresenter/tables/conversations.ts

📄 CodeRabbit Inference Engine (CLAUDE.md)

Strict type checking enabled for TypeScript

**/*.{ts,tsx}: 始终使用 try-catch 处理可能的错误
提供有意义的错误信息
记录详细的错误日志
优雅降级处理
日志应包含时间戳、日志级别、错误代码、错误描述、堆栈跟踪（如适用）、相关上下文信息
日志级别应包括 ERROR、WARN、INFO、DEBUG
不要吞掉错误
提供用户友好的错误信息
实现错误重试机制
避免记录敏感信息
使用结构化日志
设置适当的日志级别

Files:

• src/shared/presenter.d.ts
• src/renderer/src/stores/chat.ts
• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts
• src/main/presenter/sqlitePresenter/tables/conversations.ts

📄 CodeRabbit Inference Engine (CLAUDE.md)

Shared types in src/shared/

Files:

• src/shared/presenter.d.ts

📄 CodeRabbit Inference Engine (.cursor/rules/development-setup.mdc)

**/*.{js,jsx,ts,tsx}: 使用 OxLint 进行代码检查
Log和注释使用英文书写

Files:

• src/shared/presenter.d.ts
• src/renderer/src/stores/chat.ts
• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts
• src/main/presenter/sqlitePresenter/tables/conversations.ts

📄 CodeRabbit Inference Engine (.cursor/rules/electron-best-practices.mdc)

The shared/*.d.ts files are used to define the types of objects exposed by the main process to the renderer process

Files:

• src/shared/presenter.d.ts

📄 CodeRabbit Inference Engine (.cursor/rules/project-structure.mdc)

共享类型定义放在 shared 目录

Files:

• src/shared/presenter.d.ts

📄 CodeRabbit Inference Engine (CLAUDE.md)

src/renderer/src/**/*.vue: Use Composition API for all Vue 3 components
Use Tailwind CSS with scoped styles for styling
Organize components by feature in src/renderer/src/
Follow existing component patterns in src/renderer/src/ when creating new UI components
Use Composition API with proper TypeScript typing for new UI components
Implement responsive design with Tailwind CSS for new UI components
Add proper error handling and loading states for new UI components

Use scoped styles to prevent CSS conflicts between components

Files:

• src/renderer/src/components/TitleView.vue

📄 CodeRabbit Inference Engine (CLAUDE.md)

src/renderer/src/**/*.{ts,tsx,vue}: Use Pinia for frontend state management
Renderer to Main: Use usePresenter.ts composable for direct presenter method calls

Files:

• src/renderer/src/components/TitleView.vue
• src/renderer/src/stores/chat.ts

📄 CodeRabbit Inference Engine (.cursor/rules/i18n.mdc)

src/renderer/src/**/*: All user-facing strings must use i18n keys (avoid hardcoded user-visible text in code)
Use the 'vue-i18n' framework for all internationalization in the renderer
Ensure all user-visible text in the renderer uses the translation system

Files:

• src/renderer/src/components/TitleView.vue
• src/renderer/src/stores/chat.ts

📄 CodeRabbit Inference Engine (.cursor/rules/project-structure.mdc)

渲染进程代码放在 src/renderer

Files:

• src/renderer/src/components/TitleView.vue
• src/renderer/src/stores/chat.ts

📄 CodeRabbit Inference Engine (.cursor/rules/vue-best-practices.mdc)

src/renderer/src/**/*.{vue,ts,tsx,js,jsx}: Use the Composition API for better code organization and reusability
Implement proper state management with Pinia
Utilize Vue Router for navigation and route management
Leverage Vue's built-in reactivity system for efficient data handling

Files:

• src/renderer/src/components/TitleView.vue
• src/renderer/src/stores/chat.ts

📄 CodeRabbit Inference Engine (.cursor/rules/vue-shadcn.mdc)

src/renderer/**/*.{ts,tsx,vue}: Use descriptive variable names with auxiliary verbs (e.g., isLoading, hasError).
Use TypeScript for all code; prefer types over interfaces.
Avoid enums; use const objects instead.
Use arrow functions for methods and computed properties.
Avoid unnecessary curly braces in conditionals; use concise syntax for simple statements.

Files:

• src/renderer/src/components/TitleView.vue
• src/renderer/src/stores/chat.ts

📄 CodeRabbit Inference Engine (.cursor/rules/vue-shadcn.mdc)

Implement lazy loading for routes and components.

Files:

• src/renderer/src/components/TitleView.vue
• src/renderer/src/stores/chat.ts

📄 CodeRabbit Inference Engine (.cursor/rules/vue-shadcn.mdc)

src/renderer/**/*.{ts,vue}: Use useFetch and useAsyncData for data fetching.
Implement SEO best practices using Nuxt's useHead and useSeoMeta.

Files:

• src/renderer/src/components/TitleView.vue
• src/renderer/src/stores/chat.ts

📄 CodeRabbit Inference Engine (.cursor/rules/electron-best-practices.mdc)

src/{main,renderer}/**/*.ts: Use context isolation for improved security
Implement proper inter-process communication (IPC) patterns
Optimize application startup time with lazy loading
Implement proper error handling and logging for debugging

Files:

• src/renderer/src/stores/chat.ts
• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts
• src/main/presenter/sqlitePresenter/tables/conversations.ts

📄 CodeRabbit Inference Engine (.cursor/rules/pinia-best-practices.mdc)

src/renderer/src/stores/**/*.{vue,ts,tsx,js,jsx}: Use modules to organize related state and actions
Implement proper state persistence for maintaining data across sessions
Use getters for computed state properties
Utilize actions for side effects and asynchronous operations
Keep the store focused on global state, not component-specific data

Files:

• src/renderer/src/stores/chat.ts

📄 CodeRabbit Inference Engine (CLAUDE.md)

Main to Renderer: Use EventBus to broadcast events via mainWindow.webContents.send()

Use Electron's built-in APIs for file system and native dialogs

Files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts
• src/main/presenter/sqlitePresenter/tables/conversations.ts

📄 CodeRabbit Inference Engine (CLAUDE.md)

One presenter per functional domain

Files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts
• src/main/presenter/sqlitePresenter/tables/conversations.ts

📄 CodeRabbit Inference Engine (CLAUDE.md)

src/main/presenter/llmProviderPresenter/providers/*.ts: Create provider file in src/main/presenter/llmProviderPresenter/providers/ when adding a new LLM provider
Implement coreStream method following standardized event interface in LLM provider files

src/main/presenter/llmProviderPresenter/providers/*.ts: Each file in src/main/presenter/llmProviderPresenter/providers/*.ts should handle interaction with a specific LLM API, including request/response formatting, tool definition conversion, native/non-native tool call management, and standardizing output streams to a common event format.
Provider implementations must use a coreStream method that yields standardized stream events to decouple the main loop from provider-specific details.
The coreStream method in each Provider must perform a single streaming API request per conversation round and must not contain multi-round tool call loop logic.
Provider files should implement helper methods such as formatMessages, convertToProviderTools, parseFunctionCalls, and prepareFunctionCallPrompt as needed for provider-specific logic.
All provider implementations must parse provider-specific data chunks and yield standardized events for text, reasoning, tool calls, usage, errors, stop reasons, and image data.
When a provider does not support native function calling, it must prepare messages using prompt wrapping (e.g., prepareFunctionCallPrompt) before making the API call.
When a provider supports native function calling, MCP tools must be converted to the provider's format (e.g., using convertToProviderTools) and included in the API request.
Provider implementations should aggregate and yield usage events as part of the standardized stream.
Provider implementations should yield image data events in the standardized format when applicable.
Provider implementations should yield reasoning events in the standardized format when applicable.
Provider implementations should yield tool call events (`tool_call_star...

Files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts

📄 CodeRabbit Inference Engine (.cursor/rules/project-structure.mdc)

主进程代码放在 src/main

Files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts
• src/main/presenter/sqlitePresenter/tables/conversations.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/vue-best-practices.mdc:0-0
Timestamp: 2025-07-21T01:47:28.817Z
Learning: Applies to src/renderer/src/**/*.{vue,ts,tsx,js,jsx} : Leverage Vue's built-in reactivity system for efficient data handling

Applied to files:

• src/renderer/src/components/TitleView.vue

Learnt from: neoragex2002
PR: ThinkInAIXYZ/deepchat#550
File: src/renderer/src/stores/chat.ts:1011-1035
Timestamp: 2025-06-21T15:49:17.044Z
Learning: In src/renderer/src/stores/chat.ts, the user prefers to keep both `text` and `content` properties in the `handleMeetingInstruction` function's `sendMessage` call, even though they are redundant, rather than removing the `content` property.

Applied to files:

• src/renderer/src/stores/chat.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield reasoning events in the standardized format when applicable.

Applied to files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : All provider implementations must parse provider-specific data chunks and yield standardized events for text, reasoning, tool calls, usage, errors, stop reasons, and image data.

Applied to files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield text events in the standardized format.

Applied to files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-21T01:45:33.790Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Implement coreStream method following standardized event interface in LLM provider files

Applied to files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider files should implement helper methods such as `formatMessages`, `convertToProviderTools`, `parseFunctionCalls`, and `prepareFunctionCallPrompt` as needed for provider-specific logic.

Applied to files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : The `coreStream` method in each Provider must perform a single streaming API request per conversation round and must not contain multi-round tool call loop logic.

Applied to files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Each file in `src/main/presenter/llmProviderPresenter/providers/*.ts` should handle interaction with a specific LLM API, including request/response formatting, tool definition conversion, native/non-native tool call management, and standardizing output streams to a common event format.

Applied to files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : The main Agent loop should buffer text content, handle tool call events, format tool results for the next LLM call, and manage conversation continuation logic.

Applied to files:

• src/main/presenter/llmProviderPresenter/providers/ollamaProvider.ts