fix issue 622 #631
fix issue 622 #631
Conversation
WalkthroughThe updates revise the Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant GitHubCopilotOAuth.vue
participant modelCheckStore
participant LLMProviderPresenter
participant GithubCopilotProvider
User->>GitHubCopilotOAuth.vue: Click "Verify Key"
GitHubCopilotOAuth.vue->>modelCheckStore: openDialog({ providerId })
modelCheckStore->>LLMProviderPresenter: check(providerId)
alt modelId not provided
LLMProviderPresenter->>GithubCopilotProvider: check()
else modelId provided
LLMProviderPresenter->>GithubCopilotProvider: check(providerId, modelId)
end
GithubCopilotProvider-->>LLMProviderPresenter: Validation result
LLMProviderPresenter-->>modelCheckStore: Result
modelCheckStore-->>GitHubCopilotOAuth.vue: Update dialog/UI
sequenceDiagram
participant GithubCopilotProvider
participant GitHub Copilot API
GithubCopilotProvider->>GitHub Copilot API: POST /v1/chat/completions (with new headers, modelId required)
GitHub Copilot API-->>GithubCopilotProvider: Response (stream or completion)
GithubCopilotProvider-->>GithubCopilotProvider: Log request/response details
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Possibly related PRs
Poem
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Actionable comments posted: 3
🔭 Outside diff range comments (8)
src/renderer/src/components/settings/GitHubCopilotOAuth.vue (3)
227-249: Remove unusedvalidateTokenfunctionThe
validateTokenfunction is no longer used after the UI changes that delegate validation to the model check dialog. This is causing the TypeScript error.Remove the unused function:
-/** - * 验证Token - */ -const validateToken = async () => { - if (!hasToken.value) return - - isValidating.value = true - validationResult.value = null - - try { - const result = await llmProviderPresenter.check(props.provider.id) - validationResult.value = { - success: result.isOk, - message: result.isOk - ? t('settings.provider.tokenValid') - : result.errorMsg || t('settings.provider.tokenInvalid') - } - } catch (error) { - validationResult.value = { - success: false, - message: error instanceof Error ? error.message : t('settings.provider.tokenInvalid') - } - } finally { - isValidating.value = false - } -}
60-60: Use i18n for user-visible textHard-coded Chinese text violates the i18n requirement. All user-facing strings must use i18n keys.
Replace with i18n key:
- {{ isLoggingIn ? t('settings.provider.loggingIn') : 'Device Flow 登录 (推荐)' }} + {{ isLoggingIn ? t('settings.provider.loggingIn') : t('settings.provider.deviceFlowLogin') }}
74-74: Use i18n for user-visible textHard-coded Chinese text should use i18n keys.
Replace with i18n key:
- {{ isLoggingIn ? t('settings.provider.loggingIn') : '传统 OAuth 登录' }} + {{ isLoggingIn ? t('settings.provider.loggingIn') : t('settings.provider.traditionalOAuthLogin') }}src/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts (5)
125-125: Remove reference to deleted headerThe console.log references
X-GitHub-Api-Versionwhich is no longer in the headers object.- console.log(' X-GitHub-Api-Version:', headers['X-GitHub-Api-Version'])
174-189: Use i18n for error messagesHard-coded Chinese error messages violate the i18n requirement. All user-facing strings must use i18n keys.
The error messages contain Chinese text that should be moved to i18n keys. Consider creating error message keys like:
errors.githubCopilot.notFounderrors.githubCopilot.unauthorizederrors.githubCopilot.forbidden
601-601: Use i18n for user-facing promptThe Chinese prompt text should use i18n for consistency.
- content: `请总结以下内容，使用简洁的语言，突出重点：\n${text}` + content: `${t('prompts.summarize')}\n${text}`
664-668: Use i18n for error messagesNetwork error messages contain Chinese text that should use i18n.
The error message should use i18n keys for the Chinese text.
695-695: Use i18n for default conversation titleThe Chinese text '新对话' should use an i18n key.
- return '新对话' + return t('conversation.defaultTitle')
🧹 Nitpick comments (4)
src/renderer/src/components/settings/GitHubCopilotOAuth.vue (1)
251-253: Add error handling for dialog openingThe
openModelCheckDialogfunction should handle potential errors when opening the dialog.const openModelCheckDialog = () => { - modelCheckStore.openDialog(props.provider.id) + try { + modelCheckStore.openDialog(props.provider.id) + } catch (error) { + console.error('Failed to open model check dialog:', error) + validationResult.value = { + success: false, + message: error instanceof Error ? error.message : t('settings.provider.dialogOpenFailed') + } + } }src/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts (3)
322-323: Remove trailing empty lines in models arrayClean up the unnecessary empty lines at the end of the models array.
} - - ]
368-369: Verify editor version headersThe new headers
editor-versionandeditor-plugin-versionare hardcoded. Consider making these configurable or deriving from actual application version.- 'editor-version': 'vscode/1.97.2', - 'editor-plugin-version': 'copilot.vim/1.16.0' + 'editor-version': `DeepChat/${process.env.npm_package_version || '1.0.0'}`, + 'editor-plugin-version': `DeepChat/${process.env.npm_package_version || '1.0.0'}`
35-87: Consider reducing verbose logging in productionWhile the extensive logging is helpful for debugging, it may be too verbose for production use. Consider using debug levels or environment-based logging.
Consider wrapping verbose logs in a debug flag:
if (process.env.NODE_ENV === 'development' || this.debugMode) { console.log('🎯 [GitHub Copilot] Constructor called') // ... other detailed logs }Also applies to: 94-221, 372-413, 523-563, 630-677
📜 Review details
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Review profile: CHILL
Plan: Pro
📒 Files selected for processing (3)
src/main/presenter/llmProviderPresenter/index.ts(1 hunks)src/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts(9 hunks)src/renderer/src/components/settings/GitHubCopilotOAuth.vue(5 hunks)
🧰 Additional context used
📓 Path-based instructions (17)
**/*.{ts,tsx,js,jsx,vue}
📄 CodeRabbit Inference Engine (CLAUDE.md)
Use English for logs and comments
Files:
src/renderer/src/components/settings/GitHubCopilotOAuth.vuesrc/main/presenter/llmProviderPresenter/index.tssrc/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts
src/renderer/src/**/*.vue
📄 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 componentsUse scoped styles to prevent CSS conflicts between components
Files:
src/renderer/src/components/settings/GitHubCopilotOAuth.vue
src/renderer/src/**/*.{ts,tsx,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/settings/GitHubCopilotOAuth.vue
src/renderer/src/**/*
📄 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/settings/GitHubCopilotOAuth.vue
src/renderer/**/*.{vue,ts,js,tsx,jsx}
📄 CodeRabbit Inference Engine (.cursor/rules/project-structure.mdc)
渲染进程代码放在
src/renderer
Files:
src/renderer/src/components/settings/GitHubCopilotOAuth.vue
src/renderer/src/**/*.{vue,ts,tsx,js,jsx}
📄 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/settings/GitHubCopilotOAuth.vue
src/renderer/**/*.{ts,tsx,vue}
📄 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/settings/GitHubCopilotOAuth.vue
src/renderer/**/*.{vue,ts}
📄 CodeRabbit Inference Engine (.cursor/rules/vue-shadcn.mdc)
Implement lazy loading for routes and components.
Files:
src/renderer/src/components/settings/GitHubCopilotOAuth.vue
src/renderer/**/*.{ts,vue}
📄 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/settings/GitHubCopilotOAuth.vue
**/*.{ts,tsx}
📄 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/main/presenter/llmProviderPresenter/index.tssrc/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts
src/main/**/*.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/index.tssrc/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts
src/main/presenter/**/*.ts
📄 CodeRabbit Inference Engine (CLAUDE.md)
One presenter per functional domain
Files:
src/main/presenter/llmProviderPresenter/index.tssrc/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts
**/*.{js,jsx,ts,tsx}
📄 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/main/presenter/llmProviderPresenter/index.tssrc/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts
src/{main,renderer}/**/*.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/main/presenter/llmProviderPresenter/index.tssrc/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts
src/main/presenter/llmProviderPresenter/index.ts
📄 CodeRabbit Inference Engine (.cursor/rules/llm-agent-loop.mdc)
src/main/presenter/llmProviderPresenter/index.ts:src/main/presenter/llmProviderPresenter/index.tsshould manage the overall Agent loop, conversation history, tool execution viaMcpPresenter, and frontend communication viaeventBus.
The main Agent loop inllmProviderPresenter/index.tsshould handle multi-round LLM calls and tool usage, maintaining conversation state and controlling the loop withneedContinueConversationandtoolCallCount.
The main Agent loop should send standardizedSTREAM_EVENTS(RESPONSE,END,ERROR) to the frontend viaeventBus.
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.
Files:
src/main/presenter/llmProviderPresenter/index.ts
src/main/**/*.{ts,js,tsx,jsx}
📄 CodeRabbit Inference Engine (.cursor/rules/project-structure.mdc)
主进程代码放在
src/main
Files:
src/main/presenter/llmProviderPresenter/index.tssrc/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts
src/main/presenter/llmProviderPresenter/providers/*.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 insrc/main/presenter/llmProviderPresenter/providers/*.tsshould 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 acoreStreammethod that yields standardized stream events to decouple the main loop from provider-specific details.
ThecoreStreammethod 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 asformatMessages,convertToProviderTools,parseFunctionCalls, andprepareFunctionCallPromptas 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., usingconvertToProviderTools) 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/githubCopilotProvider.ts
🧠 Learnings (4)
📓 Common learnings
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-21T01:45:33.768Z
Learning: Applies to src/main/presenter/configPresenter/providers.ts : Add provider configuration in configPresenter/providers.ts when adding a new LLM provider
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
src/renderer/src/components/settings/GitHubCopilotOAuth.vue (13)
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-21T01:45:33.768Z
Learning: Applies to src/renderer/src/**/*.{ts,tsx,vue} : Renderer to Main: Use usePresenter.ts composable for direct presenter method calls
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/electron-best-practices.mdc:0-0
Timestamp: 2025-07-21T01:45:54.217Z
Learning: Applies to src/renderer/src/composables/usePresenter.ts : The IPC in the renderer process is implemented in usePresenter.ts, allowing direct calls to the presenter-related interfaces exposed by the main process
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-21T01:45:33.768Z
Learning: Applies to src/main/presenter/configPresenter/**/*.ts : Centralize configuration in configPresenter/
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : src/main/presenter/llmProviderPresenter/index.ts should manage the overall Agent loop, conversation history, tool execution via McpPresenter, and frontend communication via eventBus.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-21T01:45:33.768Z
Learning: Applies to src/main/presenter/configPresenter/providers.ts : Add provider configuration in configPresenter/providers.ts when adding a new LLM provider
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : The main Agent loop in llmProviderPresenter/index.ts should handle multi-round LLM calls and tool usage, maintaining conversation state and controlling the loop with needContinueConversation and toolCallCount.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/vue-shadcn.mdc:0-0
Timestamp: 2025-07-23T00:45:57.289Z
Learning: Applies to src/renderer/{composables,utils}/**/*.ts : Use VueUse for common composables and utility functions.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield events asynchronously using the async generator pattern.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations must use a coreStream method that yields standardized stream events to decouple the main loop from provider-specific details.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
src/main/presenter/llmProviderPresenter/index.ts (10)
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-21T01:45:33.768Z
Learning: Applies to src/main/presenter/configPresenter/providers.ts : Add provider configuration in configPresenter/providers.ts when adding a new LLM provider
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield error events in the standardized format when errors occur.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : When a provider does not support native function calling, it must prepare messages using prompt wrapping (e.g., prepareFunctionCallPrompt) before making the API call.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : The main Agent loop in llmProviderPresenter/index.ts should handle multi-round LLM calls and tool usage, maintaining conversation state and controlling the loop with needContinueConversation and toolCallCount.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield events asynchronously using the async generator pattern.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-21T01:45:33.768Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Create provider file in src/main/presenter/llmProviderPresenter/providers/ when adding a new LLM provider
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : src/main/presenter/llmProviderPresenter/index.ts should manage the overall Agent loop, conversation history, tool execution via McpPresenter, and frontend communication via eventBus.
src/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts (13)
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : 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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations must use a coreStream method that yields standardized stream events to decouple the main loop from provider-specific details.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield tool call events (tool_call_start, tool_call_chunk, tool_call_end) in the standardized format.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-21T01:45:33.768Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Implement coreStream method following standardized event interface in LLM provider files
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-21T01:45:33.768Z
Learning: Applies to src/main/presenter/configPresenter/providers.ts : Add provider configuration in configPresenter/providers.ts when adding a new LLM provider
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield events asynchronously using the async generator pattern.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-21T01:45:33.768Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Create provider file in src/main/presenter/llmProviderPresenter/providers/ when adding a new LLM provider
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
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.
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.865Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : The main Agent loop should send standardized STREAM_EVENTS (RESPONSE, END, ERROR) to the frontend via eventBus.
🪛 GitHub Actions: PR Check
src/renderer/src/components/settings/GitHubCopilotOAuth.vue
[error] 227-227: TypeScript error TS6133: 'validateToken' is declared but its value is never read.
🔇 Additional comments (2)
src/main/presenter/llmProviderPresenter/index.ts (1)
1072-1074: Good delegation to provider-specific validationThe change appropriately delegates validation to the provider when no
modelIdis provided, allowing providers to implement their own validation logic. This is a good architectural decision that maintains separation of concerns.src/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts (1)
344-344: Good defensive programming with modelId validationThe addition of modelId validation at the start of each method prevents potential runtime errors. This is a good defensive programming practice.
Also applies to: 500-500, 596-596
| private copilotToken: string | null = null | ||
| private tokenExpiresAt: number = 0 | ||
| private baseApiUrl = 'https://copilot-proxy.githubusercontent.com' | ||
| private baseApiUrl = 'https://api.githubcopilot.com' |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Verify the new GitHub Copilot API endpoint
The base API URL has been changed to https://api.githubcopilot.com. Ensure this is the correct and stable endpoint for GitHub Copilot.
🌐 Web query:
What is the current official API endpoint for GitHub Copilot? Is https://api.githubcopilot.com the correct endpoint?
💡 Result:
GitHub Copilot offers several API endpoints for different functionalities:
-
Copilot Metrics API: This API provides aggregated metrics for various GitHub Copilot features, such as active users, code completions, and Copilot Chat usage. The base endpoint is:
https://api.github.com/copilot/usageFor example, to retrieve Copilot metrics for an organization, you can use:
https://api.github.com/orgs/{org}/copilot/usageReplace
{org}with your organization's name. (docs.github.com) -
Copilot User Management API: This API allows you to manage GitHub Copilot Business subscriptions for your organization, including adding or removing users and teams. The base endpoint is:
https://api.github.com/orgs/{org}/copilotFor instance, to list all Copilot seat assignments for an organization:
https://api.github.com/orgs/{org}/copilot/billing/seatsReplace
{org}with your organization's name. (docs.github.com) -
Copilot Chat API: For Copilot Chat functionalities, the endpoint is:
https://api.individual.githubcopilot.com/github/chat/threadsThis endpoint is used for managing chat threads and messages within Copilot Chat. (den.dev)
Regarding the endpoint https://api.githubcopilot.com, it is not recognized as an official GitHub Copilot API endpoint. The correct endpoints are as listed above.
Citations:
- 1: https://docs.github.com/rest/copilot/copilot-usage?utm_source=openai
- 2: https://docs.github.com/rest/copilot/copilot-for-business?utm_source=openai
- 3: https://den.dev/blog/github-copilot-inside-github-actions/?utm_source=openai
Update GitHub Copilot API endpoint
The assigned base URL (https://api.githubcopilot.com) is not an official Copilot endpoint. Please replace it with the correct one for your use case:
• For Copilot Metrics (usage & telemetry):
https://api.github.com/copilot/usage
• For Copilot Business user/seat management:
https://api.github.com/orgs/{org}/copilot
• For Copilot Chat threads & messages:
https://api.individual.githubcopilot.com/github/chat/threads
Location:
- File: src/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts
- Line: 29
Suggested change (example using Metrics API):
- private baseApiUrl = 'https://api.githubcopilot.com'
+ private baseApiUrl = 'https://api.github.com/copilot/usage'📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| private baseApiUrl = 'https://api.githubcopilot.com' | |
| private baseApiUrl = 'https://api.github.com/copilot/usage' |
🤖 Prompt for AI Agents
In src/main/presenter/llmProviderPresenter/providers/githubCopilotProvider.ts at
line 29, the baseApiUrl is set to an incorrect GitHub Copilot endpoint. Update
the baseApiUrl to the correct official endpoint based on your use case, for
example, use 'https://api.github.com/copilot/usage' for Copilot Metrics, or
choose the appropriate URL for Business user management or Chat threads. Replace
the existing URL string with the correct one accordingly.
|
LGTM |
2 participants
Pull Request Description (中文)
修复了 #622
1、移除了 copilt 一些无效的模型
2、验证密钥前 弹框输出模型id
3、修改 一些请求 head
Summary by CodeRabbit
New Features
Improvements
Bug Fixes