Conversation
Add agent icon sidebar with liquid drop styling and session list with date-grouped mock data. Main content area gets rounded corner and shadow separation. Sidebar/appbar use semi-transparent background.
Move browser and settings buttons from AppBar to WindowSideBar bottom icon column. Remove history button, ThreadView overlay, and all associated toggle/event handling code.
Add a pure visual mock for the redesigned new thread page using shadcn primitives. Includes centered logo/heading, textarea input with attach/mic/send toolbar, and a status bar with model, effort, and permissions selectors.
…rouping toggle Refactor NewThreadMock into reusable mock components (MockInputBox, MockInputToolbar, MockStatusBar). Add MockChatPage with sticky top bar and input area, MockMessageList with sample conversation, and shared mock view state composable. Wire sidebar session clicks to switch between new thread and chat views. Add project grouping toggle to sidebar header.
…at top bar Add a dropdown project/workdir selector to NewThreadMock with recent projects and an open folder option. Thread project directory through mock view state so MockTopBar displays a folder breadcrumb prefix alongside the session title.
…apse - Add MockWelcomePage with provider grid and ACP agent setup option - Add DeepChat as default first agent in sidebar - Add empty state for session list - Add sidebar collapse/expand with macOS traffic light accommodation - Add debug toggle button for welcome page
* docs: add spec for default model setting * feat: #1174 support default models setting * fix(settings): sync model selections with ACP mode and improve error handling - Add ACP mode check when applying default model in NewThread.vue - Add error handling in DefaultModelSettingsSection.vue syncModelSelections - Update imageModel i18n keys to remove 'select' verb for display-only fields
* fix(settings): disable auto-fallback in default model selection Remove automatic model fallback in DefaultModelSettingsSection to prevent unintended model changes when providers load late. Models now only change on explicit user selection. * fix: format
…ideBar Remove multi-tab/multi-window complexity from presenters, simplify shell UI by removing SideBar component and streamlining AppBar, and clean up unused event handlers and shortcut bindings.
… and sidebar integration Implement Phases 1-4 of the new UI architecture: - Phase 1: Add 4 Pinia stores (pageRouter, session, agent, project) with IPC mapping to presenters, event listeners, and error handling - Phase 2: Create 3 page components (WelcomePage, NewThreadPage, ChatPage) and refactor ChatTabView to route via pageRouter store - Phase 3: Create 5 chat components (ChatTopBar, MessageList, ChatInputBox, ChatInputToolbar, ChatStatusBar) matching mock designs exactly - Phase 4: Refactor WindowSideBar to use store data instead of mock data - Add specs and implementation plan documentation
The agentPresenter.sendMessage expects content as JSON-encoded
UserMessageContent ({text, files, links, search, think}), not raw
text. Raw text caused JSON.parse failures in MessageManager and
TypeError when setting properties on non-object content.
ChatPage now uses useChatStore().variantAwareMessages for the message list and chatStore.sendMessage() for sending. MessageList component updated to handle real Message types (UserMessageContent for user messages, AssistantMessageBlock[] for assistant messages) instead of plain text placeholders.
…hase 6) - NewThreadPage passes agentStore.selectedAgentId to session creation, with providerId/modelId set for ACP agents - Session creation uses forceNewAndActivate to prevent backend from reusing empty conversations with different agent settings - ChatStatusBar wired to chatStore.chatConfig and modelStore for real model/effort selection; shows selected agent context on NewThreadPage - Effort selector hidden for ACP agents (not applicable) - MessageList rewritten to use existing MessageItemAssistant and MessageItemUser components for full markdown/code/tool rendering - modelStore.initialize() added to ChatTabView onMounted - Phase 6 specs and todo tracking added
Implement agent-centric architecture replacing old sessionPresenter pattern: - Shared types: IAgentImplementation, Agent, Session, ChatMessageRecord, etc. - DB tables: new_sessions, new_projects, deepchat_sessions, deepchat_messages - DeepChatAgentPresenter: message persistence, LLM coreStream consumption, batched stream flushing (120ms renderer, 600ms DB), crash recovery - NewAgentPresenter: agent registry, session manager, message routing - ProjectPresenter: project CRUD with directory picker - Renderer stores: session, message, agent, project, draft (all new arch) - ChatPage wired to new message store with streaming block display - NewThreadPage resolves model via defaultModel/preferredModel/first enabled - 94 unit + integration tests across 9 test files - Debug logging throughout processing pipeline
- Add contextBuilder with system prompt injection, conversation history assembly, and token-based truncation using approximateTokenSize - Wire buildContext into processMessage, building context before DB persist to avoid duplicate user messages in LLM calls - Add optimistic user message in renderer message store so user messages appear immediately without waiting for stream completion - Add auto-scroll to ChatPage: scroll to bottom on load, on new messages, and during streaming; respect user scroll-up to stop auto-following - Update v0 tests and add new tests for context builder and multi-turn integration (110 tests passing across 10 files)
Add tool calling support to the DeepChat agent via an agent loop that passes tool definitions to coreStream, accumulates tool calls from the stream, executes them via ToolPresenter.callTool(), and re-calls the LLM until it stops requesting tools. Includes block accumulation across loop iterations, server info enrichment, grouped truncation of tool messages in context builder, and proper abort/error path delegation between streamHandler and agentLoop.
DeepSeek Reasoner (and similar models like kimi-k2-thinking, glm-4.7) requires a reasoning_content field on assistant messages that contain tool_calls. Without it, the API returns a 400 error. Extract reasoning blocks separately in both the agent loop and context builder, and include them on the assistant message when the model requires it.
For interleaved thinking models (DeepSeek Reasoner, kimi-k2-thinking), reasoning_content is only required on assistant messages in the current agent loop exchange (after the last user message), not on historical messages from the DB. Also fix content field to always be a string (not undefined) on assistant messages with tool_calls, matching the existing agentLoopHandler behavior.
Replace tangled streamHandler.ts and agentLoop.ts with a clean 5-module architecture: types.ts (shared state), accumulator.ts (pure event→block mutations), echo.ts (batched renderer/DB flushing), dispatch.ts (tool execution and finalization), and process.ts (unified loop). Eliminates tools-vs-no-tools branching in index.ts — single processStream() call handles both simple completions and multi-turn tool calling. Extracts reusable trailing-edge throttle utility to shared/utils/throttle.ts. Pure refactor with no behavior changes.
New agent sessions live in deepchat_sessions, not the legacy conversations table. Passing the session ID as conversationId caused SkillPresenter.getActiveSkills to throw "Conversation not found". Drop the conversationId param since the new agent doesn't use skills.
Mark v2 spec as complete and superseded by v3 module structure. Update v3 spec to match final implementation. Clean up tasks to remove references to deleted files and add v2/v3 task sections with all items checked off.
📝 WalkthroughWalkthroughRemoves a macOS dyld entitlement; adds global defaultModel/defaultVisionModel settings and UI; introduces a new agent architecture (NewAgent + DeepChatAgent) with streaming/tool-calling pipeline, new SQLite tables, renderer page/router and Pinia stores, many UI components, extensive tests, and large docs/spec additions. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant Renderer
participant NewAgentPresenter
participant DeepChatAgent as DeepChatAgentPresenter
participant LLM as LLMProvider(coreStream)
participant ToolPresenter
participant SQLite as DB
participant EventBus
Renderer->>NewAgentPresenter: createSession / sendMessage
NewAgentPresenter->>DeepChatAgent: processMessage(sessionId, content)
DeepChatAgent->>SQLite: create user message, create assistant pending message
DeepChatAgent->>DeepChatAgent: buildContext(sessionId)
DeepChatAgent->>LLM: coreStream(context)
loop stream events
LLM-->>DeepChatAgent: token/chunk / tool_call_start / usage / stop / error
DeepChatAgent->>DeepChatAgent: accumulate(state, event)
DeepChatAgent->>Renderer: STREAM_EVENTS.RESPONSE (via EventBus)
DeepChatAgent->>SQLite: echo flush (periodic)
end
alt tool_call needed
DeepChatAgent->>ToolPresenter: execute tool_call
ToolPresenter-->>DeepChatAgent: tool result
DeepChatAgent->>SQLite: persist tool result
DeepChatAgent->>Renderer: STREAM_EVENTS.RESPONSE (tool chunk)
end
DeepChatAgent->>DeepChatAgent: finalize or finalizeError
DeepChatAgent->>SQLite: finalize assistant message (content + metadata)
DeepChatAgent->>Renderer: STREAM_EVENTS.END or ERROR
DeepChatAgent->>EventBus: SESSION_EVENTS.STATUS_CHANGED / LIST_UPDATED
Estimated code review effort🎯 5 (Critical) | ⏱️ ~120+ minutes Possibly related PRs
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⚠️ Outside diff range comments (6)
src/renderer/src/components/ModelSelect.vue (1)
72-85: 🛠️ Refactor suggestion | 🟠 MajorUse a typed props interface + withDefaults for defaults.
This file now changes the props block, but it still uses an object literal for
defineProps. The guideline requires TypeScript interfaces for props. Consider switching to an interface withdefineProps<T>()andwithDefaultsfor default values.✅ Suggested refactor
-const props = defineProps({ - type: { - type: Array as PropType<ModelType[]>, - default: undefined // ← explicit for clarity - }, - excludeProviders: { - type: Array as PropType<string[]>, - default: () => [] - }, - visionOnly: { - type: Boolean, - default: false - } -}) +interface ModelSelectProps { + type?: ModelType[] + excludeProviders?: string[] + visionOnly?: boolean +} + +const props = withDefaults(defineProps<ModelSelectProps>(), { + excludeProviders: () => [], + visionOnly: false +})As per coding guidelines, "Define TypeScript interfaces for Vue component props and data structures."
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/renderer/src/components/ModelSelect.vue` around lines 72 - 85, Replace the object-literal props with a typed props interface and use withDefaults + defineProps to provide defaults: create an interface (e.g., Props) declaring type?: ModelType[], excludeProviders?: string[], visionOnly?: boolean; then call defineProps<Props>() and wrap it with withDefaults to set type to undefined, excludeProviders to () => [], and visionOnly to false, updating any references to the existing props variable (const props) accordingly.src/main/presenter/shortcutPresenter.ts (1)
154-210:⚠️ Potential issue | 🟠 MajorRegistered-but-no-op shortcuts still consume OS-level keybindings.
The four tab-switch methods (lines 200–210) are correctly gutted, but the
globalShortcut.registercall-sites at lines 154–193 are still active. Electron'sglobalShortcutmodule registers shortcuts with the operating system, and they work even when the app does not have keyboard focus. Registering a shortcut with an empty callback means the key combination is captured and silently swallowed — Electron will override shortcuts of other applications; if you try to use this shortcut while Chrome or another app is open, your Electron application will override it.Concretely:
Ctrl+Tab,Ctrl+Shift+Tab,Ctrl+1–Ctrl+8, andCtrl+9will cease to work in any other application while DeepChat is running, and they'll do nothing inside DeepChat either.Fix: Remove the now-purposeless registration blocks entirely:
🔧 Proposed fix — drop the four no-op registration blocks
- // Command+Tab 或 Ctrl+Tab 切换到下一个标签页 - if (this.shortcutKeys.SwitchNextTab) { - globalShortcut.register(this.shortcutKeys.SwitchNextTab, () => { - const focusedWindow = presenter.windowPresenter.getFocusedWindow() - if (focusedWindow?.isFocused()) { - this.switchToNextTab(focusedWindow.id) - } - }) - } - - // Ctrl+Shift+Tab 切换到上一个标签页 - if (this.shortcutKeys.SwitchPrevTab) { - globalShortcut.register(this.shortcutKeys.SwitchPrevTab, () => { - const focusedWindow = presenter.windowPresenter.getFocusedWindow() - if (focusedWindow?.isFocused()) { - this.switchToPreviousTab(focusedWindow.id) - } - }) - } - - // 注册标签页数字快捷键 (1-8) - if (this.shortcutKeys.NumberTabs) { - for (let i = 1; i <= 8; i++) { - globalShortcut.register(`${CommandKey}+${i}`, () => { - const focusedWindow = presenter.windowPresenter.getFocusedWindow() - if (focusedWindow?.isFocused()) { - this.switchToTabByIndex(focusedWindow.id, i - 1) - } - }) - } - } - - // Command+9 或 Ctrl+9 切换到最后一个标签页 - if (this.shortcutKeys.SwtichToLastTab) { - globalShortcut.register(this.shortcutKeys.SwtichToLastTab, () => { - const focusedWindow = presenter.windowPresenter.getFocusedWindow() - if (focusedWindow?.isFocused()) { - this.switchToLastTab(focusedWindow.id) - } - }) - } - this.showHideWindow()If the shortcuts are intended to be re-wired to the new page-routing system in a follow-up, consider leaving a
// TODOcomment explaining the intent rather than silently capturing and discarding the keystrokes.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/main/presenter/shortcutPresenter.ts` around lines 154 - 210, The globalShortcut.register calls for shortcutKeys.SwitchNextTab, SwitchPrevTab, NumberTabs and SwtichToLastTab are still registering OS-level shortcuts while the corresponding handlers (switchToNextTab, switchToPreviousTab, switchToTabByIndex, switchToLastTab) are no-ops; remove those registration blocks (the globalShortcut.register(…) usages tied to this.shortcutKeys.SwitchNextTab, .SwitchPrevTab, .NumberTabs, and .SwtichToLastTab) so the app stops capturing Ctrl/Cmd+Tab, Ctrl/Cmd+Shift+Tab, Ctrl/Cmd+1–9, etc.; if you plan to rewire them later, replace each removed block with a brief TODO comment referencing the handler names (switchToNextTab, switchToPreviousTab, switchToTabByIndex, switchToLastTab) so future work knows where to re-add registrations.src/main/presenter/sessionPresenter/managers/conversationManager.ts (1)
177-201:⚠️ Potential issue | 🔴 Critical
DEFAULT_SETTINGSis mutated in-place — corrupts state across all subsequent calls.At line 177,
defaultSettingsis assigned by reference toDEFAULT_SETTINGS. When!latestConversation?.settingsis true (precisely the condition required forshouldApplyDefaultModelto betrue), the block at lines 178-186 is skipped, sodefaultSettingsnever becomes a copy — it remains the same object reference. Lines 198-199 then directly write toDEFAULT_SETTINGS.modelIdandDEFAULT_SETTINGS.providerId, permanently polluting the module-level constant for the remainder of the process lifetime. Every subsequent call tocreateConversationthat lacks alatestConversation?.settingswill inherit the wrong model.🐛 Proposed fix — shallow-copy DEFAULT_SETTINGS at the declaration site
- let defaultSettings = DEFAULT_SETTINGS + let defaultSettings = { ...DEFAULT_SETTINGS } if (latestConversation?.settings) {🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/main/presenter/sessionPresenter/managers/conversationManager.ts` around lines 177 - 201, defaultSettings is being assigned by reference to DEFAULT_SETTINGS so later writes (e.g., setting modelId/providerId) mutate the module-level constant; change the initialization to create a shallow copy (e.g., use an object spread) when declaring defaultSettings so mutations only affect the local variable, i.e., replace the direct assignment to DEFAULT_SETTINGS with a shallow-copy of DEFAULT_SETTINGS before any modifications in the createConversation flow (references: DEFAULT_SETTINGS and the local variable defaultSettings in conversationManager.ts).src/main/presenter/mcpPresenter/inMemoryServers/imageServer.ts (2)
52-88:⚠️ Potential issue | 🟠 Major
getEffectiveModel()'s live-lookup and error-throw branches are dead code due to constructor hard-coding.Because the constructor unconditionally assigns
this.providerandthis.model— falling back to'openai'/'gpt-4o'when nothing else is configured — both fields are always truthy after construction.getEffectiveModel()therefore always returns the first branch and never reaches thegetDefaultVisionModel()re-fetch or thethrow. Two consequences:
- If the user updates the default vision model while the server is running, the change is not picked up (stale values baked in at construction).
- If no vision model is configured at all, the server silently uses
openai/gpt-4oinstead of surfacing the "no vision model configured" error thatgetEffectiveModel()is supposed to throw.🐛 Proposed fix — remove hard defaults from constructor, rely on `getEffectiveModel()` for live resolution
- private provider: string - private model: string + private provider: string | undefined + private model: string | undefined constructor(provider?: string, model?: string) { - const defaultVisionModel = presenter.configPresenter.getDefaultVisionModel() - this.provider = provider || defaultVisionModel?.providerId || 'openai' - this.model = model || defaultVisionModel?.modelId || 'gpt-4o' + this.provider = provider + this.model = model this.server = new Server(
getEffectiveModel()already handles all resolution paths correctly whenthis.provider/this.modelcan beundefined.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/main/presenter/mcpPresenter/inMemoryServers/imageServer.ts` around lines 52 - 88, The constructor currently hard-sets this.provider and this.model to defaults, which prevents getEffectiveModel() from performing live lookups or throwing when no model is configured; change the constructor to assign only the incoming parameters (this.provider = provider; this.model = model) so they can be undefined, rely on getEffectiveModel() everywhere that needs the resolved model (call getEffectiveModel() in request handlers or methods that use provider/model), and keep the existing error-throw and default-resolution logic inside getEffectiveModel() intact so updates to presenter.configPresenter.getDefaultVisionModel() are picked up at runtime.
122-122:⚠️ Potential issue | 🟠 MajorMIME type hardcoded to
image/jpegfor all images.Both
queryImageWithModelandocrImageWithModelconstructdata:image/jpeg;base64,...regardless of the file's actual extension. Sending a PNG or WEBP file asimage/jpegcan cause the model to misparse or reject it.🐛 Proposed fix using extension-based lookup
+ const ext = path.extname(filePath).toLowerCase().slice(1) + const mimeMap: Record<string, string> = { + jpg: 'image/jpeg', jpeg: 'image/jpeg', png: 'image/png', + gif: 'image/gif', webp: 'image/webp', bmp: 'image/bmp' + } + const mime = mimeMap[ext] ?? 'image/jpeg' - const dataUrl = `data:image/jpeg;base64,${base64Image}` + const dataUrl = `data:${mime};base64,${base64Image}`Apply the same fix to the equivalent block in
ocrImageWithModel(Line 168).Also applies to: 168-168
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/main/presenter/mcpPresenter/inMemoryServers/imageServer.ts` at line 122, The data URL is hardcoded to image/jpeg which breaks non-JPEG inputs; update both queryImageWithModel and ocrImageWithModel so the MIME type is derived from the file extension (or actual buffer detection) and used when building the dataUrl (the line creating `dataUrl = \`data:image/...;base64,${base64Image}\``). Locate the `dataUrl` and `base64Image` usage in both functions, map extensions (e.g., .png → image/png, .webp → image/webp, .gif → image/gif) or use a mime lookup utility, and replace the constant "image/jpeg" with the resolved MIME type; ensure fallback to image/octet-stream or image/jpeg if resolution fails and apply the same change at the analogous line in `ocrImageWithModel`.src/main/presenter/index.ts (1)
350-362:⚠️ Potential issue | 🟠 MajorAdd cleanup for
newAgentPresenterindestroy().
newAgentPresenterholdsDeepChatAgentPresenter(which maintainsabortControllersandruntimeStatemaps) and manages sessions/messages. These resources are never cleaned up on app shutdown, causing potential leaks of active abort controllers and in-memory state.Add
this.newAgentPresenter.destroy()to the destroy method (after implementing the method inNewAgentPresenterandDeepChatAgentPresenterto clean up their internal resources).🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/main/presenter/index.ts` around lines 350 - 362, The destroy() in presenter index omits cleanup for newAgentPresenter which leaves DeepChatAgentPresenter's abortControllers and runtimeState maps and session/message state leaking; implement a destroy method on NewAgentPresenter (and ensure DeepChatAgentPresenter exposes/cleans its internal abortControllers and runtimeState maps) to abort any pending controllers, clear maps and session/message state, then add this.newAgentPresenter.destroy() into the index's destroy() sequence (place it alongside other presenters' destroy calls) so all agent-related resources are released on shutdown.
♻️ Duplicate comments (5)
src/renderer/src/i18n/da-DK/settings.json (1)
62-67: Duplicate: locale completeness for new settings keys.Same concern as in
src/renderer/src/i18n/fa-IR/settings.jsonLine 62-67—please ensure the new keys exist across all locales and stay consistent.Based on learnings: Add new translations to ALL language files (da-DK, en-US, fa-IR, fr-FR, he-IL, ja-JP, ko-KR, pt-BR, ru-RU, zh-CN, zh-HK, zh-TW) with consistent key names across all locales.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/renderer/src/i18n/da-DK/settings.json` around lines 62 - 67, The new i18n keys ("fileMaxSizeHint" and the nested "defaultModel" keys: "title", "chatModel", "visionModel") were added to da-DK but are missing or inconsistent across locales; update every locale file (en-US, fa-IR, fr-FR, he-IL, ja-JP, ko-KR, pt-BR, ru-RU, zh-CN, zh-HK, zh-TW and da-DK) to include these exact keys with appropriate translations so all locale JSONs have the same key structure and names ("fileMaxSizeHint", "defaultModel.title", "defaultModel.chatModel", "defaultModel.visionModel").src/renderer/src/i18n/pt-BR/settings.json (1)
62-67: Duplicate: locale completeness for new settings keys.Same concern as in
src/renderer/src/i18n/fa-IR/settings.jsonLine 62-67—please ensure the new keys exist across all locales and stay consistent.Based on learnings: Add new translations to ALL language files (da-DK, en-US, fa-IR, fr-FR, he-IL, ja-JP, ko-KR, pt-BR, ru-RU, zh-CN, zh-HK, zh-TW) with consistent key names across all locales.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/renderer/src/i18n/pt-BR/settings.json` around lines 62 - 67, Add the new translation keys introduced here—fileMaxSizeHint and the nested defaultModel keys (title, chatModel, visionModel)—to every locale file so key names are consistent across all locales (da-DK, en-US, fa-IR, fr-FR, he-IL, ja-JP, ko-KR, pt-BR, ru-RU, zh-CN, zh-HK, zh-TW); find the same settings JSON structure in each locale and add equivalent translated strings for "fileMaxSizeHint" and defaultModel.{title,chatModel,visionModel} to match the key names used in this diff.src/renderer/src/i18n/zh-TW/settings.json (1)
62-67: Duplicate: locale completeness for new settings keys.Same concern as in
src/renderer/src/i18n/fa-IR/settings.jsonLine 62-67—please ensure the new keys exist across all locales and stay consistent.Based on learnings: Add new translations to ALL language files (da-DK, en-US, fa-IR, fr-FR, he-IL, ja-JP, ko-KR, pt-BR, ru-RU, zh-CN, zh-HK, zh-TW) with consistent key names across all locales.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/renderer/src/i18n/zh-TW/settings.json` around lines 62 - 67, The new translation keys fileMaxSizeHint and the defaultModel object (with nested keys title, chatModel, visionModel) are present in zh-TW but missing or inconsistent across other locales; update all locale settings.json files (da-DK, en-US, fa-IR, fr-FR, he-IL, ja-JP, ko-KR, pt-BR, ru-RU, zh-CN, zh-HK) to include these exact keys with appropriate translations so key names remain consistent across all locale files.src/renderer/src/components/icons/MinimizeIcon.vue (1)
1-19: Same Iconify lucide guideline concern asRestoreIcon.vue.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/renderer/src/components/icons/MinimizeIcon.vue` around lines 1 - 19, The MinimizeIcon.vue SVG does not follow the Iconify/lucide accessibility/consistency guideline (same issue as RestoreIcon.vue); update the <svg> in MinimizeIcon.vue to match the standardized icon pattern used in RestoreIcon.vue by adding the required attributes (e.g., role="img", focusable="false", aria-hidden="true", keep xmlns and viewBox), keep the :fill="fill" prop and the withDefaults/defineProps setup for fill, and ensure the SVG markup otherwise mirrors the RestoreIcon.vue implementation for accessibility and consistency.src/renderer/src/components/icons/CloseIcon.vue (1)
1-19: Same Iconify lucide guideline concern asRestoreIcon.vue.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/renderer/src/components/icons/CloseIcon.vue` around lines 1 - 19, The CloseIcon.vue SVG doesn't follow the same Iconify/lucide guidelines as RestoreIcon.vue; update the <svg> element (in the template) to use scalable sizing and accessibility attributes: replace fixed width/height "10" with "1em", add role="img", aria-hidden="true" and focusable="false" attributes, and keep using the existing fill prop (defineProps/withDefaults for fill) so color is inherited via 'currentColor'.
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build/entitlements.mac.plistdocs/architecture/new-ui-implementation-plan.mddocs/specs/default-model-settings/plan.mddocs/specs/default-model-settings/spec.mddocs/specs/default-model-settings/tasks.mddocs/specs/new-agent/plan.mddocs/specs/new-agent/spec.mddocs/specs/new-agent/tasks.mddocs/specs/new-agent/v1-spec.mddocs/specs/new-agent/v2-spec.mddocs/specs/new-agent/v3-spec.mddocs/specs/new-ui-agent-session/spec.mddocs/specs/new-ui-agent-store/spec.mddocs/specs/new-ui-chat-components/spec.mddocs/specs/new-ui-implementation/todo.mddocs/specs/new-ui-markdown-rendering/spec.mddocs/specs/new-ui-page-state/spec.mddocs/specs/new-ui-pages/spec.mddocs/specs/new-ui-project-store/spec.mddocs/specs/new-ui-session-store/spec.mddocs/specs/new-ui-sidebar/spec.mddocs/specs/new-ui-status-bar/spec.mdsrc/main/events.tssrc/main/presenter/agentPresenter/utility/utilityHandler.tssrc/main/presenter/configPresenter/index.tssrc/main/presenter/deepchatAgentPresenter/accumulator.tssrc/main/presenter/deepchatAgentPresenter/contextBuilder.tssrc/main/presenter/deepchatAgentPresenter/dispatch.tssrc/main/presenter/deepchatAgentPresenter/echo.tssrc/main/presenter/deepchatAgentPresenter/index.tssrc/main/presenter/deepchatAgentPresenter/messageStore.tssrc/main/presenter/deepchatAgentPresenter/process.tssrc/main/presenter/deepchatAgentPresenter/sessionStore.tssrc/main/presenter/deepchatAgentPresenter/types.tssrc/main/presenter/deeplinkPresenter/index.tssrc/main/presenter/index.tssrc/main/presenter/mcpPresenter/inMemoryServers/builder.tssrc/main/presenter/mcpPresenter/inMemoryServers/imageServer.tssrc/main/presenter/newAgentPresenter/agentRegistry.tssrc/main/presenter/newAgentPresenter/index.tssrc/main/presenter/newAgentPresenter/messageManager.tssrc/main/presenter/newAgentPresenter/sessionManager.tssrc/main/presenter/projectPresenter/index.tssrc/main/presenter/sessionPresenter/index.tssrc/main/presenter/sessionPresenter/managers/conversationManager.tssrc/main/presenter/shortcutPresenter.tssrc/main/presenter/sqlitePresenter/index.tssrc/main/presenter/sqlitePresenter/tables/deepchatMessages.tssrc/main/presenter/sqlitePresenter/tables/deepchatSessions.tssrc/main/presenter/sqlitePresenter/tables/newProjects.tssrc/main/presenter/sqlitePresenter/tables/newSessions.tssrc/main/presenter/syncPresenter/index.tssrc/main/presenter/windowPresenter/index.tssrc/preload/index.tssrc/renderer/settings/components/CommonSettings.vuesrc/renderer/settings/components/common/DefaultModelSettingsSection.vuesrc/renderer/shell/App.vuesrc/renderer/shell/components/AppBar.vuesrc/renderer/src/App.vuesrc/renderer/src/assets/style.csssrc/renderer/src/components/AppBar.vuesrc/renderer/src/components/ModelSelect.vuesrc/renderer/src/components/NewThread.vuesrc/renderer/src/components/NewThreadMock.vuesrc/renderer/src/components/SideBar.vuesrc/renderer/src/components/WindowSideBar.vuesrc/renderer/src/components/chat/ChatInputBox.vuesrc/renderer/src/components/chat/ChatInputToolbar.vuesrc/renderer/src/components/chat/ChatStatusBar.vuesrc/renderer/src/components/chat/ChatTopBar.vuesrc/renderer/src/components/chat/MessageList.vuesrc/renderer/src/components/icons/CloseIcon.vuesrc/renderer/src/components/icons/MaximizeIcon.vuesrc/renderer/src/components/icons/MinimizeIcon.vuesrc/renderer/src/components/icons/ModelIcon.vuesrc/renderer/src/components/icons/RestoreIcon.vuesrc/renderer/src/components/mcp-config/mcpServerForm.vuesrc/renderer/src/components/mock/MockChatPage.vuesrc/renderer/src/components/mock/MockInputBox.vuesrc/renderer/src/components/mock/MockInputToolbar.vuesrc/renderer/src/components/mock/MockMessageList.vuesrc/renderer/src/components/mock/MockStatusBar.vuesrc/renderer/src/components/mock/MockTopBar.vuesrc/renderer/src/components/mock/MockWelcomePage.vuesrc/renderer/src/composables/useMockViewState.tssrc/renderer/src/events.tssrc/renderer/src/i18n/da-DK/settings.jsonsrc/renderer/src/i18n/en-US/settings.jsonsrc/renderer/src/i18n/fa-IR/settings.jsonsrc/renderer/src/i18n/fr-FR/settings.jsonsrc/renderer/src/i18n/he-IL/settings.jsonsrc/renderer/src/i18n/ja-JP/settings.jsonsrc/renderer/src/i18n/ko-KR/settings.jsonsrc/renderer/src/i18n/pt-BR/settings.jsonsrc/renderer/src/i18n/ru-RU/settings.jsonsrc/renderer/src/i18n/zh-CN/settings.jsonsrc/renderer/src/i18n/zh-HK/settings.jsonsrc/renderer/src/i18n/zh-TW/settings.jsonsrc/renderer/src/pages/ChatPage.vuesrc/renderer/src/pages/NewThreadPage.vuesrc/renderer/src/pages/WelcomePage.vuesrc/renderer/src/stores/ui/agent.tssrc/renderer/src/stores/ui/draft.tssrc/renderer/src/stores/ui/message.tssrc/renderer/src/stores/ui/pageRouter.tssrc/renderer/src/stores/ui/project.tssrc/renderer/src/stores/ui/session.tssrc/renderer/src/views/ChatTabView.vuesrc/shadcn/components/ui/tooltip/TooltipContent.vuesrc/shared/types/agent-interface.d.tssrc/shared/types/core/chat-message.tssrc/shared/types/presenters/index.d.tssrc/shared/types/presenters/legacy.presenters.d.tssrc/shared/types/presenters/new-agent.presenter.d.tssrc/shared/types/presenters/project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💤 Files with no reviewable changes (2)
- build/entitlements.mac.plist
- src/renderer/src/components/SideBar.vue
| function handleKeydown(e: KeyboardEvent) { | ||
| if (e.key === 'Enter' && !e.shiftKey) { | ||
| e.preventDefault() | ||
| emit('submit') | ||
| } | ||
| } |
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Missing e.isComposing guard causes premature submit for CJK IME users.
Each keydown in an IME is responded to by the browser, so when a user hits Enter to confirm an IME selection, the code immediately processes a keydown event — triggering submit before the user has finished composing their text. The Enter key is mis-recognized and sends the chat message instead of ending the composition.
The fix is a single additional guard:
🐛 Proposed fix
function handleKeydown(e: KeyboardEvent) {
- if (e.key === 'Enter' && !e.shiftKey) {
+ if (e.key === 'Enter' && !e.shiftKey && !e.isComposing) {
e.preventDefault()
emit('submit')
}
}🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/renderer/src/components/chat/ChatInputBox.vue` around lines 30 - 35, The
handleKeydown function submits on Enter currently without checking IME
composition state; update handleKeydown to skip handling when the event
indicates composition (use the KeyboardEvent.isComposing property) so Enter used
to confirm CJK/IME composition won't trigger emit('submit'); locate the function
named handleKeydown and add a guard that returns early if e.isComposing is true
before the existing Enter/shift checks.
| async function initialize(): Promise<void> { | ||
| try { | ||
| // 1. Check if any provider is enabled | ||
| const enabledProviders = configPresenter.getEnabledProviders() | ||
| if (!enabledProviders || enabledProviders.length === 0) { | ||
| route.value = { name: 'welcome' } | ||
| return | ||
| } | ||
|
|
||
| // 2. Check for active session on this tab | ||
| const tabId = window.api.getWebContentsId() | ||
| const activeSession = await sessionPresenter.getActiveSession(tabId) | ||
| if (activeSession) { | ||
| route.value = { name: 'chat', sessionId: activeSession.sessionId } | ||
| return | ||
| } | ||
|
|
||
| // 3. Default to new thread | ||
| route.value = { name: 'newThread' } | ||
| } catch (e) { | ||
| error.value = String(e) | ||
| route.value = { name: 'newThread' } | ||
| } | ||
| } |
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🧩 Analysis chain
🏁 Script executed:
# Find presenter-related files and interfaces
find . -type f \( -name "*.ts" -o -name "*.d.ts" \) | grep -i presenter | head -20Repository: ThinkInAIXYZ/deepchat
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rg -n "getEnabledProviders" --type=ts -A 2 -B 2Repository: ThinkInAIXYZ/deepchat
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rg -n "export.*usePresenter|function usePresenter|const usePresenter" --type=ts -A 10Repository: ThinkInAIXYZ/deepchat
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# Read usePresenter.ts to understand the proxy implementation
cat -n src/renderer/src/composables/usePresenter.tsRepository: ThinkInAIXYZ/deepchat
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Add await to getEnabledProviders() calls — the usePresenter proxy wraps all methods as async.
Although getEnabledProviders() is defined as synchronous in the main process, the usePresenter proxy (lines 73–74 of src/renderer/src/composables/usePresenter.ts) wraps every method call as async via ipcRenderer.invoke(). This means at the renderer level, the call returns Promise<LLM_PROVIDER[]> instead of the array itself.
Without await, enabledProviders at lines 24 and 67 becomes a Promise object. The check at line 25 (enabledProviders.length === 0) evaluates to undefined === 0 (false), so the condition fails and the welcome route is never displayed even when all providers are disabled.
Fix by awaiting both calls:
Diff
async function initialize(): Promise<void> {
try {
// 1. Check if any provider is enabled
- const enabledProviders = configPresenter.getEnabledProviders()
+ const enabledProviders = await configPresenter.getEnabledProviders()
if (!enabledProviders || enabledProviders.length === 0) {
route.value = { name: 'welcome' }
return
}The same issue occurs at line 67 in the event listener handler.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/renderer/src/stores/ui/pageRouter.ts` around lines 21 - 44, The renderer
is calling getEnabledProviders() via the usePresenter proxy which returns a
Promise, so update calls in initialize() and the provider-change event handler
to await the result (e.g., const enabledProviders = await
configPresenter.getEnabledProviders()); if the handler is not async, mark it
async so you can await inside it; keep using the enabledProviders variable for
the length check and subsequent routing logic (route.value = { name: 'welcome' }
/ 'newThread' / 'chat') unchanged.
There was a problem hiding this comment.
Actionable comments posted: 5
🧹 Nitpick comments (6)
docs/specs/agentpresenter-mvp-replacement/plan.md (4)
112-117: Consider additional migration and operational risks.The identified risks are valid, but several others should be documented:
Performance degradation: Dual-stack overhead during transition phases may slow down the application. Mitigation: performance benchmarks and monitoring.
Data loss: Migration failures could lose or corrupt sessions/messages. Mitigation: backup before migration, atomic transactions, rollback capability.
Concurrent operation conflicts: What if a user edits a message while a retry is in progress? Mitigation: operation locking or queueing per session.
Schema migration failures: Database schema changes might fail on some user machines. Mitigation: migration verification, graceful degradation, error reporting.
User workflow disruption: Breaking changes to familiar UI/UX. Mitigation: user communication, migration guide, feedback channels.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/agentpresenter-mvp-replacement/plan.md` around lines 112 - 117, The "8. 风险与缓解" section currently lists three risks but omits several important migration and operational risks; update that section (heading "8. 风险与缓解") by adding entries for Performance degradation, Data loss, Concurrent operation conflicts, Schema migration failures, and User workflow disruption, and for each provide a concise mitigation (e.g., benchmarking/monitoring for performance, backups/atomic transactions/rollback for data loss, per-session locking or operation queueing for concurrent conflicts, migration verification/graceful degradation/error reporting for schema issues, and user communication/migration guide/feedback channels for workflow disruption) so the plan includes these additional risks and corresponding mitigations.
118-124: Consider additional quality gates for production readiness.The current gates are good, but consider adding:
- Build verification:
pnpm run buildsucceeds without warnings- Manual QA: Each phase should have a checklist of manual test scenarios
- Documentation: README, architecture docs, and API docs updated
- Performance: No regression in key metrics (startup time, message send latency)
- Accessibility: WCAG compliance for new UI components
Also, consider defining what "关键单测与集成测试" (key unit and integration tests) means concretely—perhaps a specific list or percentage threshold.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/agentpresenter-mvp-replacement/plan.md` around lines 118 - 124, Update section "9. 质量门槛" to add concrete production-readiness gates: include a build verification step (`pnpm run build`) that must pass without warnings, require a per-phase Manual QA checklist (link or embed checklist template), mandate Documentation tasks (README, architecture and API docs updated) as a gate, add Performance regression checks (e.g., baseline metrics for startup time and message latency) and an Accessibility check (WCAG compliance for new UI components); also replace the vague "关键单测与集成测试" with a concrete definition—either a named list of critical tests or a coverage/threshold policy (e.g., X% coverage on critical modules and a list of key test IDs).
106-111: Expand testing strategy with specific requirements.The current testing strategy is too high-level for a migration of this complexity. Consider adding:
Coverage targets: Specify minimum code coverage (e.g., 80% for new presenter code, 100% for permission logic).
Security testing: Given the permission system is central to MVP, add explicit security test cases:
- Permission boundary violations (projectDir escapes)
- Whitelist bypass attempts
- Race conditions in permission approval flows
Performance testing: Test session/message operations at scale (e.g., 1000+ messages, concurrent sessions).
UI/E2E testing: Specify the framework (Playwright? Cypress?) and critical user flows to test end-to-end.
Backward compatibility: Specific test cases for migrating from each legacy schema version.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/agentpresenter-mvp-replacement/plan.md` around lines 106 - 111, Update the "测试策略" section to add concrete requirements: define coverage targets (e.g., minimum 80% for new presenter code and 100% for permission logic), add explicit security tests (cases for projectDir escape, whitelist bypass, and race conditions in permission approval flows), add performance tests for session/message scale (e.g., 1000+ messages, concurrent sessions), specify an E2E framework (Playwright or Cypress) and enumerate critical UI flows to test, and list backward-compatibility migration test cases for each legacy schema version; reference the existing items "Main 单测", "集成测试", and "迁移回归" to extend rather than replace them.
17-35: Clarify permission approval UX and audit logging.The permission model logic is clear, but two operational aspects need documentation:
User approval flow: How are permission requests surfaced in the UI when in
defaultmode?
- Modal dialog? Inline banner? Chat message?
- What happens if the user doesn't respond? (timeout behavior)
- Can users batch-approve multiple requests?
Audit logging: For compliance and debugging, document whether permission decisions (approve/deny/auto-grant) are logged with:
- Timestamp
- Session/message context
- Tool name and requested path
- Decision outcome and reason
Line 34 clarification: In
defaultmode, ifprojectDiris set, are out-of-bounds requests auto-rejected or do they still go through whitelist matching? The order suggests boundary check happens first, but the description of default mode focuses on whitelist matching.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/agentpresenter-mvp-replacement/plan.md` around lines 17 - 35, Update the design doc to explicitly define the user approval UX and audit logging for the `permission_mode` (values `default | full`) introduced on `new_sessions`: specify that in `default` mode permission requests are surfaced via a modal dialog (with an optional inline banner fallback) that shows session/message context, tool name and requested path, supports batch-approve/deny for multiple pending requests, and auto-times out after a configurable period with a clear fallback (e.g., auto-deny or escalate); document the exact audit log schema to record every permission decision (timestamp, sessionId, message/context, toolName, requested path, decision outcome, and reason) and where logs are stored; and clarify the rule referenced on Line 34 by stating that for `default` mode the `projectDir` boundary check (session.projectDir) is applied first and any out-of-bounds requests are automatically rejected before whitelist (`sessionId + toolName + pathPattern`) matching is attempted.docs/specs/agentpresenter-mvp-replacement/spec.md (2)
63-67: Clarify "context pollution" in retry/regenerate behavior.Line 67 states "避免被替代消息污染后续生成" but "污染" (pollution) is somewhat vague. Consider specifying what constitutes pollution—for example, whether it refers to:
- Including deleted/replaced messages in the context window
- Mixing variants into the prompt history
- Leaking state from previous generation attempts
More explicit criteria would help ensure consistent implementation across the presenter layer.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/agentpresenter-mvp-replacement/spec.md` around lines 63 - 67, Clarify the vague term "避免被替代消息污染后续生成" under the "D. Retry/Regenerate（无 variants）" section by replacing it with explicit criteria: state that replaced/deleted messages must not be included in the context window for subsequent generations, variants or ephemeral candidate messages must never be merged into the persistent prompt history, and any transient state (e.g., retry attempt metadata, generation tokens, or temporary choice flags) must not be carried over to later requests; reference the "Retry/Regenerate" behavior and the rule "每次 retry/regenerate 追加新的 assistant 消息" to enforce that each retry appends a single new assistant message while the canonical conversation history remains free of removed or variant content.
86-89: Document or reference the migration strategy for old chat data.Line 89 mentions "旧 chat 数据有明确兼容迁移策略（静默升级或等价兼容）" but doesn't provide details. For an MVP that replaces core functionality, the migration strategy is critical and should either:
- Be detailed in this spec (what gets migrated, how, when, rollback plan)
- Reference a separate migration design document
- Clarify if migration is out of scope for this MVP phase
Without this clarity, teams may implement incompatible approaches or overlook migration entirely.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/agentpresenter-mvp-replacement/spec.md` around lines 86 - 89, Update section "H. chat 模式清理" to explicitly specify the migration strategy for old chat data: state whether migration is in-scope for the MVP or reference a separate migration design doc, and if in-scope describe what fields/objects are migrated, the transformation rules or data mappings, migration trigger/timing (online vs. batch), rollback/verification steps, monitoring and error handling, and any compatibility guarantees; refer to the "H. chat 模式清理" heading when adding these details or include a clear link/reference to the separate migration document.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@docs/specs/agentpresenter-mvp-replacement/plan.md`:
- Around line 36-61: Clarify identifiers and error flows: explicitly state
whether conversationId is a direct alias of sessionId or requires
transformation/validation (reference conversationId and sessionId), and add
validation rules and error codes when they differ; document workspace binding
error handling for session.projectDir: define behavior when missing (fail fast
with specific error, prompt user to bind, or queue operations) and specify
retry/backoff and logging policies; for forkSessionFromMessage, enumerate
exactly what is copied into the new session (e.g., session.settings,
permissionMode, projectDir, whitelistedRules, conversationId mapping policy,
auth tokens, and any ephemeral state) and describe which items are
shallow-copied vs deep-copied and how inherited permissions/approvals are
enforced or re-evaluated.
- Around line 62-93: Expand the phased plan to include explicit migration and
safety details: in Phase 0/1 add a "Data migration" subsection describing how to
migrate old_sessions/chat_sessions/legacy messages into new_sessions and
deepchat_sessions/deepchat_messages (migration scripts, id mapping, idempotency,
schema transforms and verification), add a "Rollback & versioning" subsection
specifying DB schema versioning, backups, restore steps, and feature flags to
toggle between old/new stacks (e.g., feature flag gating newAgentPresenter and
ChatStatusBar flows), add a "Gradual rollout" subsection describing staged user
cohorts (canary/beta → 10% → 50% → all) and monitoring/metrics to abort, and
clarify Phase dependencies (call out that Phase 2 depends on Phase 1
permissions/Default/Full access implementations and that migration must complete
before removing legacy settings). Ensure each subsection references the related
symbols (newAgentPresenter, ChatStatusBar, new_sessions, deepchat_sessions,
deepchat_messages, old_sessions/chat_sessions) and includes acceptance checks
and automated rollback criteria.
- Around line 94-105: Update the IPC section to require renderer components to
call the new IPC methods through the usePresenter composable (not direct
ipcRenderer calls) and document that the main-side presenter instance
newAgentPresenter will emit EventBus events (e.g., session-updated,
message-added, permission-requested, tool-execution-started) that renderers must
subscribe to; for each INewAgentPresenter method (setSessionPermissionMode,
editUserMessage, retryAssistantMessage, forkSessionFromMessage) add method
signatures including return types and possible error responses, and add the
shared types PermissionMode and PermissionWhitelistRule (with toolName and
pathPattern) to the spec so implementers can wire typed IPC and EventBus
handlers consistently.
- Around line 9-16: Add explicit documentation describing use of EventBus for
main→renderer inter-process events and MCP tools integration: state that
newAgentPresenter will emit session and message-stream events over EventBus
(e.g., SESSION_EVENTS, message streaming events) to the renderer, that
deepchatAgentPresenter will subscribe/consume those EventBus events in its
execution flow, and that MCP tools are wired into the deepchatAgentPresenter via
the two-layer LLM provider architecture (Agent Loop + Provider) so tools are
invoked from the Provider layer during agent execution; also mention using the
Presenter pattern in the main process to own EventBus interactions and tool
orchestration.
In `@docs/specs/agentpresenter-mvp-replacement/spec.md`:
- Around line 42-50: The "Full access" flow currently skips validating
operations against session.projectDir; update the permission logic so
auto-approval only permits paths inside session.projectDir by normalizing paths,
resolving symlinks, and performing a strict boundary check before any tool
executes (update the permission handler and FilePermissionService to validate
using resolved absolute paths); implement rejection responses for out-of-bounds
requests in each tool handler that currently has TODOs (e.g., imageServer.ts)
and add unit/integration tests per Task T4 covering path traversal, relative
escapes, and symlink scenarios to ensure boundary enforcement and correct
rejection behavior.
---
Nitpick comments:
In `@docs/specs/agentpresenter-mvp-replacement/plan.md`:
- Around line 112-117: The "8. 风险与缓解" section currently lists three risks but
omits several important migration and operational risks; update that section
(heading "8. 风险与缓解") by adding entries for Performance degradation, Data loss,
Concurrent operation conflicts, Schema migration failures, and User workflow
disruption, and for each provide a concise mitigation (e.g.,
benchmarking/monitoring for performance, backups/atomic transactions/rollback
for data loss, per-session locking or operation queueing for concurrent
conflicts, migration verification/graceful degradation/error reporting for
schema issues, and user communication/migration guide/feedback channels for
workflow disruption) so the plan includes these additional risks and
corresponding mitigations.
- Around line 118-124: Update section "9. 质量门槛" to add concrete
production-readiness gates: include a build verification step (`pnpm run build`)
that must pass without warnings, require a per-phase Manual QA checklist (link
or embed checklist template), mandate Documentation tasks (README, architecture
and API docs updated) as a gate, add Performance regression checks (e.g.,
baseline metrics for startup time and message latency) and an Accessibility
check (WCAG compliance for new UI components); also replace the vague
"关键单测与集成测试" with a concrete definition—either a named list of critical tests or
a coverage/threshold policy (e.g., X% coverage on critical modules and a list of
key test IDs).
- Around line 106-111: Update the "测试策略" section to add concrete requirements:
define coverage targets (e.g., minimum 80% for new presenter code and 100% for
permission logic), add explicit security tests (cases for projectDir escape,
whitelist bypass, and race conditions in permission approval flows), add
performance tests for session/message scale (e.g., 1000+ messages, concurrent
sessions), specify an E2E framework (Playwright or Cypress) and enumerate
critical UI flows to test, and list backward-compatibility migration test cases
for each legacy schema version; reference the existing items "Main 单测", "集成测试",
and "迁移回归" to extend rather than replace them.
- Around line 17-35: Update the design doc to explicitly define the user
approval UX and audit logging for the `permission_mode` (values `default |
full`) introduced on `new_sessions`: specify that in `default` mode permission
requests are surfaced via a modal dialog (with an optional inline banner
fallback) that shows session/message context, tool name and requested path,
supports batch-approve/deny for multiple pending requests, and auto-times out
after a configurable period with a clear fallback (e.g., auto-deny or escalate);
document the exact audit log schema to record every permission decision
(timestamp, sessionId, message/context, toolName, requested path, decision
outcome, and reason) and where logs are stored; and clarify the rule referenced
on Line 34 by stating that for `default` mode the `projectDir` boundary check
(session.projectDir) is applied first and any out-of-bounds requests are
automatically rejected before whitelist (`sessionId + toolName + pathPattern`)
matching is attempted.
In `@docs/specs/agentpresenter-mvp-replacement/spec.md`:
- Around line 63-67: Clarify the vague term "避免被替代消息污染后续生成" under the "D.
Retry/Regenerate（无 variants）" section by replacing it with explicit criteria:
state that replaced/deleted messages must not be included in the context window
for subsequent generations, variants or ephemeral candidate messages must never
be merged into the persistent prompt history, and any transient state (e.g.,
retry attempt metadata, generation tokens, or temporary choice flags) must not
be carried over to later requests; reference the "Retry/Regenerate" behavior and
the rule "每次 retry/regenerate 追加新的 assistant 消息" to enforce that each retry
appends a single new assistant message while the canonical conversation history
remains free of removed or variant content.
- Around line 86-89: Update section "H. chat 模式清理" to explicitly specify the
migration strategy for old chat data: state whether migration is in-scope for
the MVP or reference a separate migration design doc, and if in-scope describe
what fields/objects are migrated, the transformation rules or data mappings,
migration trigger/timing (online vs. batch), rollback/verification steps,
monitoring and error handling, and any compatibility guarantees; refer to the
"H. chat 模式清理" heading when adding these details or include a clear
link/reference to the separate migration document.
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- docs/specs/agentpresenter-mvp-replacement/tasks.md
| ## 2. 核心架构决策 | ||
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| 1. 会话真源：`new_sessions + deepchat_sessions`。 | ||
| 2. 消息真源：`deepchat_messages`。 | ||
| 3. 主执行链路：`newAgentPresenter -> deepchatAgentPresenter`。 | ||
| 4. 新 UI 页面不再依赖 `useChatStore` 与旧 `sessionPresenter` 主流程。 | ||
| 5. variants 本轮下线，fork 保留为唯一分叉能力。 | ||
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🛠️ Refactor suggestion | 🟠 Major
Document EventBus for inter-process events and MCP tools integration.
The core architecture section defines the execution chain but doesn't explicitly mention EventBus for communicating events from main process to renderer, or the integration of MCP tools. Based on learnings, the architecture should use EventBus for inter-process events and integrate MCP tools as part of the two-layer provider architecture.
Consider adding:
- How
newAgentPresenter→ renderer communication will use EventBus (e.g., SESSION_EVENTS, message streaming events) - How MCP tools integrate into the
deepchatAgentPresenterexecution flow
Based on learnings: Use Presenter pattern in main process, EventBus for inter-process events, and two-layer LLM provider architecture (Agent Loop + Provider) with integrated MCP tools.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/specs/agentpresenter-mvp-replacement/plan.md` around lines 9 - 16, Add
explicit documentation describing use of EventBus for main→renderer
inter-process events and MCP tools integration: state that newAgentPresenter
will emit session and message-stream events over EventBus (e.g., SESSION_EVENTS,
message streaming events) to the renderer, that deepchatAgentPresenter will
subscribe/consume those EventBus events in its execution flow, and that MCP
tools are wired into the deepchatAgentPresenter via the two-layer LLM provider
architecture (Agent Loop + Provider) so tools are invoked from the Provider
layer during agent execution; also mention using the Presenter pattern in the
main process to own EventBus interactions and tool orchestration.
| ## 4. 关键能力设计 | ||
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| ### 4.1 Workspace 绑定 | ||
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| 1. 工具执行上下文绑定 `session.projectDir`。 | ||
| 2. 工具链路统一传递 `conversationId = sessionId`。 | ||
| 3. 权限消息、审批、执行回执必须在同一 `sessionId` 闭环。 | ||
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| ### 4.2 编辑历史 user 消息 | ||
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| 1. API：`editUserMessage(sessionId, messageId, newContent)`。 | ||
| 2. 行为：编辑后截断目标消息后的全部消息。 | ||
| 3. 随后自动 regenerate，生成新的 assistant 消息。 | ||
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| ### 4.3 Retry/Regenerate（无 variants） | ||
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| 1. API：`retryAssistantMessage(sessionId, messageId)`。 | ||
| 2. 行为：不创建 variants；仅追加 assistant 消息。 | ||
| 3. 使用消息边界标记避免旧分支内容污染上下文。 | ||
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| ### 4.4 Fork | ||
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| 1. API：`forkSessionFromMessage(sessionId, messageId)`。 | ||
| 2. 切点定义：从“当前 assistant 消息（含它）”截取。 | ||
| 3. 新 session 继承必要上下文后可继续对话。 | ||
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🛠️ Refactor suggestion | 🟠 Major
Clarify error handling and context inheritance details.
A few implementation details could prevent confusion:
-
Line 42: The statement "conversationId = sessionId" equates these two identifiers, but it's unclear if this is a direct mapping or if there's any transformation/validation logic.
-
Workspace binding error handling: When tools require
session.projectDirbut it's missing, the error handling flow isn't documented. Should operations fail immediately, prompt for binding, or queue until workspace is set? -
Fork context inheritance (line 60): "继承必要上下文" (inherit necessary context) is vague. Specify what gets copied: session settings, permission mode, projectDir, whitelisted rules, etc.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/specs/agentpresenter-mvp-replacement/plan.md` around lines 36 - 61,
Clarify identifiers and error flows: explicitly state whether conversationId is
a direct alias of sessionId or requires transformation/validation (reference
conversationId and sessionId), and add validation rules and error codes when
they differ; document workspace binding error handling for session.projectDir:
define behavior when missing (fail fast with specific error, prompt user to
bind, or queue operations) and specify retry/backoff and logging policies; for
forkSessionFromMessage, enumerate exactly what is copied into the new session
(e.g., session.settings, permissionMode, projectDir, whitelistedRules,
conversationId mapping policy, auth tokens, and any ephemeral state) and
describe which items are shallow-copied vs deep-copied and how inherited
permissions/approvals are enforced or re-evaluated.
| ## 5. 分阶段迁移 | ||
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| ### Phase 0：稳定主链路 | ||
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| 1. 清理新 UI 对 `useChatStore` 的依赖点。 | ||
| 2. active session 查询与事件分发统一到 `newAgentPresenter`。 | ||
| 3. 建立最小回归测试基线。 | ||
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| ### Phase 1：权限 + Workspace（MVP 核心） | ||
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| 1. 打通 `ChatStatusBar` 权限模式选择到 session 持久化。 | ||
| 2. 实现 `Default` 权限审批与白名单命中。 | ||
| 3. 实现 `Full access` 自动放行 + `projectDir` 越界拒绝。 | ||
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| ### Phase 2：消息操作（MVP 核心） | ||
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| 1. 实现历史 user 消息编辑（截断+再生成）。 | ||
| 2. 实现 retry/regenerate 追加 assistant（无 variants）。 | ||
| 3. 实现 fork（含当前 assistant）。 | ||
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| ### Phase 3：设置收敛 | ||
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| 1. conversation settings UI 与逻辑下线。 | ||
| 2. agent 默认配置在 session 中落地。 | ||
| 3. 清理 legacy settings 读取/写入路径。 | ||
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| ### Phase 4：chat 模式清理 | ||
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| 1. 类型层移除 `chat`。 | ||
| 2. UI 与 presenter 中移除 chat 分支。 | ||
| 3. 完成兼容迁移后删除残留代码。 | ||
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🛠️ Refactor suggestion | 🟠 Major
Add migration safety mechanisms and data handling details.
The phased approach is well-structured, but several implementation-critical details are missing:
-
Data migration: How will existing
old_sessions,chat_sessions, or legacy message data be migrated tonew_sessionsanddeepchat_sessions/deepchat_messages? This should be explicit in Phase 0 or 1. -
Rollback strategy: If a phase introduces critical bugs, how do you roll back? Consider documenting:
- Database schema versioning
- Feature flags to toggle between old/new stacks
- Data backup/restore procedures
-
Gradual rollout: Consider a staged user rollout (e.g., beta users first) rather than all-or-nothing deployment.
-
Phase dependencies: Make explicit dependencies clearer. For example, "Phase 2 requires Phase 1 permission system completion because edit/retry/fork operations must respect permission boundaries."
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/specs/agentpresenter-mvp-replacement/plan.md` around lines 62 - 93,
Expand the phased plan to include explicit migration and safety details: in
Phase 0/1 add a "Data migration" subsection describing how to migrate
old_sessions/chat_sessions/legacy messages into new_sessions and
deepchat_sessions/deepchat_messages (migration scripts, id mapping, idempotency,
schema transforms and verification), add a "Rollback & versioning" subsection
specifying DB schema versioning, backups, restore steps, and feature flags to
toggle between old/new stacks (e.g., feature flag gating newAgentPresenter and
ChatStatusBar flows), add a "Gradual rollout" subsection describing staged user
cohorts (canary/beta → 10% → 50% → all) and monitoring/metrics to abort, and
clarify Phase dependencies (call out that Phase 2 depends on Phase 1
permissions/Default/Full access implementations and that migration must complete
before removing legacy settings). Ensure each subsection references the related
symbols (newAgentPresenter, ChatStatusBar, new_sessions, deepchat_sessions,
deepchat_messages, old_sessions/chat_sessions) and includes acceptance checks
and automated rollback criteria.
| ## 6. IPC 与类型面 | ||
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| 1. `INewAgentPresenter` 扩展： | ||
| - `setSessionPermissionMode` | ||
| - `editUserMessage` | ||
| - `retryAssistantMessage` | ||
| - `forkSessionFromMessage` | ||
| 2. shared types 补充： | ||
| - `PermissionMode` | ||
| - `PermissionWhitelistRule`（含 `toolName` 与 `pathPattern`） | ||
| 3. preload 暴露新增方法，保持 typed IPC。 | ||
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🛠️ Refactor suggestion | 🟠 Major
Document renderer-to-main communication pattern and event types.
The IPC section lists new methods but misses two critical aspects:
-
Renderer → Main communication: The document doesn't explicitly state that renderer components should call these IPC methods via the
usePresentercomposable pattern (not direct IPC calls). This is important for maintainability and consistency. -
Main → Renderer events: The document doesn't list the event types that
newAgentPresenterwill emit via EventBus (e.g., session-updated, message-added, permission-requested, tool-execution-started). These events are necessary for the renderer to react to state changes. -
Method signatures: Consider documenting the return types and error responses for each IPC method to aid implementation.
Based on learnings: Use usePresenter composable for main process communication instead of direct IPC calls, and Main sends to Renderer via EventBus.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/specs/agentpresenter-mvp-replacement/plan.md` around lines 94 - 105,
Update the IPC section to require renderer components to call the new IPC
methods through the usePresenter composable (not direct ipcRenderer calls) and
document that the main-side presenter instance newAgentPresenter will emit
EventBus events (e.g., session-updated, message-added, permission-requested,
tool-execution-started) that renderers must subscribe to; for each
INewAgentPresenter method (setSessionPermissionMode, editUserMessage,
retryAssistantMessage, forkSessionFromMessage) add method signatures including
return types and possible error responses, and add the shared types
PermissionMode and PermissionWhitelistRule (with toolName and pathPattern) to
the spec so implementers can wire typed IPC and EventBus handlers consistently.
| ### A. 权限模式 | ||
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| - [ ] `ChatStatusBar` 可选择 `Default` 与 `Full access`。 | ||
| - [ ] 权限模式持久化在 session 维度。 | ||
| - [ ] 当 `session.projectDir` 为空时，`Full access` 不可选并提示先绑定 workspace。 | ||
| - [ ] `Default` 走权限确认流程，白名单按 `session` 维度隔离。 | ||
| - [ ] `Default` 白名单匹配粒度为 `toolName + pathPattern`。 | ||
| - [ ] `Full access` 自动通过请求，但任何越出 `projectDir` 的操作必须拒绝。 | ||
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Implement and test projectDir boundary enforcement for "Full access" mode.
Per the spec (lines 49-50 and constraint section), "Full access" must reject all operations outside session.projectDir. However, Task T4 shows this critical requirement remains unimplemented:
- Auto-approval logic restricted to projectDir operations only
- Path normalization and boundary detection
- Rejection response for out-of-bounds requests
- Comprehensive tests covering path traversal, symlinks, and relative path escapes
Current implementation gaps:
- Permission handler grants "Full access" without projectDir checks
FilePermissionServicetracks approvals but doesn't validate against projectDir- Multiple tools (e.g.,
imageServer.ts) have unimplemented path validation TODOs - No tests for boundary violation scenarios
Ensure all tool handlers enforce the projectDir boundary before executing operations, with special attention to symlink resolution and path normalization to prevent traversal attacks.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/specs/agentpresenter-mvp-replacement/spec.md` around lines 42 - 50, The
"Full access" flow currently skips validating operations against
session.projectDir; update the permission logic so auto-approval only permits
paths inside session.projectDir by normalizing paths, resolving symlinks, and
performing a strict boundary check before any tool executes (update the
permission handler and FilePermissionService to validate using resolved absolute
paths); implement rejection responses for out-of-bounds requests in each tool
handler that currently has TODOs (e.g., imageServer.ts) and add unit/integration
tests per Task T4 covering path traversal, relative escapes, and symlink
scenarios to ensure boundary enforcement and correct rejection behavior.
* docs: complete architecture gap analysis and implementation plan - Add comprehensive gap-analysis.md documenting all functional differences - Update spec.md with implementation notes for each acceptance criterion - Update plan.md with current status and critical path identification - Update tasks.md with detailed implementation tasks and priorities Key findings: - Streaming and message persistence: COMPLETE ✅ - Permission flow: NOT STARTED 🔴 CRITICAL - Message operations (edit/retry/fork): NOT STARTED 🟡 - Session configuration: PARTIAL (missing advanced options) 🟢 Critical gaps identified: 1. executeTools() in dispatch.ts has NO permission checks 2. ChatStatusBar shows read-only 'Default permissions' button 3. No PermissionChecker class or whitelist storage 4. No IPC methods for handlePermissionResponse() 5. new_sessions table missing permission_mode column See gap-analysis.md for complete details and implementation plan. * docs: add executive summary for gap analysis * docs: complete P0 implementation spec-driven documentation - Add comprehensive specs for all 7 P0 features - Include implementation plans with phased approach - Define granular tasks with code examples - Update P0_DESIGN_DECISIONS.md with finalized decisions - Add P0_IMPLEMENTATION_SUMMARY.md with roadmap Features documented: 1. Generating Session IDs Tracking 2. Input Box Disable + Stop Button 3. CancelGenerating Implementation 4. Permission Approval Flow 5. Session List Auto-Refresh 6. Optimistic User Messages 7. Message Cache Version Bumping Total: 25 new documentation files (~3,500+ lines) Ready for implementation phase.
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Actionable comments posted: 3
Note
Due to the large number of review comments, Critical severity comments were prioritized as inline comments.
🟠 Major comments (22)
docs/specs/p0-implementation/feature-06-optimistic-messages/plan.md-27-44 (1)
27-44:⚠️ Potential issue | 🟠 MajorAdd a required reconciliation key in the API contract.
The plan does not require
sendMessageto return the clienttempId(or another correlation key). Without that, concurrent sends and out-of-order responses can merge into the wrong optimistic message.Proposed doc update
### Phase 3: Backend Response 1. Ensure sendMessage returns message object 2. Include real message ID 3. Include orderSeq for ordering +4. Echo back client tempId (or correlationId) for deterministic optimistic merge🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-06-optimistic-messages/plan.md` around lines 27 - 44, The plan must require sendMessage to return the client-generated reconciliation key (tempId) so optimistic messages can be matched deterministically: update the API contract and the implementation points (temp ID generation, addOptimisticMessage, mergeOptimisticMessage) so addOptimisticMessage stores the tempId on the optimistic message, sendMessage includes that tempId in its response, and mergeOptimisticMessage uses the returned tempId (not just server id or orderSeq) to find and merge the correct optimistic entry; also document that backend responses must include tempId along with the real message ID and orderSeq for ordering.docs/specs/p0-implementation/feature-02-input-disable-stop/tasks.md-366-379 (1)
366-379:⚠️ Potential issue | 🟠 MajorDocument the success-path cleanup for generating state.
This flow adds
sessionStore.addGeneratingSession(sessionId)but only removes incatch. The task should explicitly include where success/END cleanup happens; otherwise the input/stop UI can remain stuck disabled if END wiring is missed.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-02-input-disable-stop/tasks.md` around lines 366 - 379, The sendMessage flow currently calls sessionStore.addGeneratingSession(sessionId) but only removes it on error; update sendMessage (function sendMessage) to ensure sessionStore.removeGeneratingSession(sessionId) is always called on success or when the agent stream/END completes—either by moving the remove call into a finally block after await agentPresenter.sendMessage(sessionId, text) or by wiring the agentPresenter.sendMessage completion/END callback to call sessionStore.removeGeneratingSession; reference sendMessage, sessionStore.addGeneratingSession, sessionStore.removeGeneratingSession, and agentPresenter.sendMessage when making the change.docs/specs/p0-implementation/feature-02-input-disable-stop/tasks.md-50-52 (1)
50-52:⚠️ Potential issue | 🟠 MajorShow “Generating response...” only for generation, not generic disable.
v-if="isDisabled"will display a generation message even whendisabledis externally set for non-generation reasons. This is misleading UX/accessibility text. SplitisGeneratingfromisDisabledand gate the indicator on generation only.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-02-input-disable-stop/tasks.md` around lines 50 - 52, The generation indicator currently uses v-if="isDisabled" which shows "Generating response..." whenever the component is disabled for any reason; change the logic to track generation separately by introducing an isGenerating boolean (prop, data or computed) and use v-if="isGenerating" on the <span class="generating-indicator"> so the message only appears during active generation; keep isDisabled for disabling controls and ensure any code paths that set isDisabled for non-generation reasons do not toggle isGenerating (update the component's data/props and any methods that start/finish generation to set isGenerating true/false accordingly).docs/specs/p0-implementation/feature-02-input-disable-stop/tasks.md-189-199 (1)
189-199:⚠️ Potential issue | 🟠 MajorDon’t use fixed 1s timeout as stop-state source of truth.
Resetting
isStoppingafter 1 second is race-prone: cancellation may take longer (allowing repeated stop clicks) or complete faster (stale spinner). DriveisStoppingfrom actual cancel/generation state from the parent/store instead of a local timer.Proposed spec adjustment
-const isStopping = ref(false) +const props = defineProps<{ + showStopButton: boolean + isStopping: boolean +}>() const handleClick = async () => { - if (isStopping.value) return - - isStopping.value = true + if (props.isStopping) return emit('stop') - - // Reset after a delay to show feedback - setTimeout(() => { - isStopping.value = false - }, 1000) }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-02-input-disable-stop/tasks.md` around lines 189 - 199, The local 1s timeout in handleClick is race-prone—remove the setTimeout and stop resetting isStopping locally; instead drive isStopping from the parent/store and only set isStopping.value = true when emitting 'stop' (preserve the early return if isStopping.value), then have the parent update a prop/state (e.g., passed-in isStopping prop or a shared store flag) and the component react to that change (via a prop, watch, or computed) to clear the spinner when cancellation/generation completes; update handleClick, isStopping usage, and documentation/comments to reflect that isStopping is authoritative only from parent/store, not a local timer.docs/specs/p0-implementation/feature-05-session-list-refresh/tasks.md-55-58 (1)
55-58:⚠️ Potential issue | 🟠 MajorHandle
loadSessions()failures in the event callback (Line 56).
this.loadSessions()is async; calling it without error handling can surface unhandled promise rejections during event bursts or IPC failures.Proposed resilient listener
initEventListener() { window.api.on(CONVERSATION_EVENTS.LIST_UPDATED, () => { - this.loadSessions() + void this.loadSessions().catch((error) => { + console.error('Failed to refresh sessions after LIST_UPDATED', error) + }) }) },Also applies to: 61-72
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-05-session-list-refresh/tasks.md` around lines 55 - 58, The event callback in initEventListener registers a non-awaited async call to this.loadSessions() which can cause unhandled rejections; change the listener for window.api.on(CONVERSATION_EVENTS.LIST_UPDATED, ...) to either make the callback async and await this.loadSessions() inside a try/catch, or call this.loadSessions().catch(err => /* log or handle error */) so errors are caught and logged; apply the same pattern to the other related listeners in the same initEventListener block (the ones also invoking this.loadSessions()).docs/specs/p0-implementation/feature-05-session-list-refresh/tasks.md-98-100 (1)
98-100:⚠️ Potential issue | 🟠 MajorAvoid global listener teardown with
removeAllListeners(Line 99).This can unintentionally remove other
LIST_UPDATEDsubscribers in the same renderer context. Prefer unregistering only the handler you registered.Safer cleanup pattern
- onUnmounted(() => { - window.api.removeAllListeners(CONVERSATION_EVENTS.LIST_UPDATED) - }) + const onListUpdated = () => { + void store.loadSessions() + } + + onMounted(() => { + window.api.on(CONVERSATION_EVENTS.LIST_UPDATED, onListUpdated) + }) + + onUnmounted(() => { + window.api.off(CONVERSATION_EVENTS.LIST_UPDATED, onListUpdated) + })🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-05-session-list-refresh/tasks.md` around lines 98 - 100, The current cleanup uses window.api.removeAllListeners(CONVERSATION_EVENTS.LIST_UPDATED) inside onUnmounted which indiscriminately removes all subscribers; instead, capture the specific handler you passed when registering the listener and remove only that handler in onUnmounted (use window.api.removeListener or window.api.off with the same handler reference). Update the listener registration and teardown around onUnmounted/CONVERSATION_EVENTS.LIST_UPDATED so the handler function (e.g., myListUpdatedHandler) is the one removed rather than calling removeAllListeners.docs/specs/p0-implementation/feature-02-input-disable-stop/plan.md-51-54 (1)
51-54:⚠️ Potential issue | 🟠 MajorFix the
isGeneratingcomputed example to avoid self-reference.On lines 51–54, the snippet defines
isGeneratingand then callsisGenerating(sessionId), creating a self-reference that is either a circular call or an unintended reference to an outer scope. The computed should instead call the store's method.Suggested correction
-const isGenerating = computed(() => { +const sessionIsGenerating = computed(() => { const sessionId = sessionStore.activeSession?.id - return sessionId ? isGenerating(sessionId) : false + return sessionId ? sessionStore.isGenerating(sessionId) : false })🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-02-input-disable-stop/plan.md` around lines 51 - 54, The computed `isGenerating` currently calls itself causing a self-reference; change the conditional call to use the store method instead (use `sessionStore.isGenerating(sessionId)`), i.e., inside the `isGenerating` computed replace `isGenerating(sessionId)` with the store method so it reads: get `sessionStore.activeSession?.id` into `sessionId` and return `sessionId ? sessionStore.isGenerating(sessionId) : false`.docs/specs/p0-implementation/feature-03-cancel-generating/tasks.md-53-60 (1)
53-60:⚠️ Potential issue | 🟠 MajorClean up
abortControllerson allstartStreamexit paths.The spec stores controllers in Line 55 but only removes them in
abortStream. Normal completion/error paths instartStreamneedfinallycleanup to avoid stale controllers and memory growth.Proposed spec patch
async startStream(sessionId: string, ...): Promise<void> { const controller = new AbortController() this.abortControllers.set(sessionId, controller) - - // Use controller.signal in fetch/stream calls - const response = await fetch(url, { signal: controller.signal }) - // ... + try { + // Use controller.signal in fetch/stream calls + const response = await fetch(url, { signal: controller.signal }) + // ... + } finally { + this.abortControllers.delete(sessionId) + } }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-03-cancel-generating/tasks.md` around lines 53 - 60, The AbortController stored in this.abortControllers within startStream is not removed on normal success or error paths, causing stale controllers; wrap the body of startStream (the creation, fetch/stream handling, and any awaits) in a try/finally and in the finally block remove the controller from this.abortControllers (e.g., this.abortControllers.delete(sessionId)) so that abortStream can still abort earlier but controllers are always cleaned up on all exit paths; reference the local controller variable, startStream, and the this.abortControllers map when making the change.docs/specs/p0-implementation/feature-03-cancel-generating/tasks.md-74-81 (1)
74-81:⚠️ Potential issue | 🟠 MajorAvoid unconditional UI cleanup when backend cancellation fails.
Lines 78-80 always clear generating state, even if
cancelGenerationfails. That can show UI as idle while backend is still streaming. Prefer clearing on success (or only in response to backend END/STATUS events).Proposed spec patch
export async function cancelGenerating(sessionId: string) { const newAgentPresenter = usePresenter('newAgent') - + try { await newAgentPresenter.cancelGeneration(sessionId) + removeGeneratingSession(sessionId) } catch (error) { console.error('Failed to cancel generation:', error) - } finally { - // Always remove from generating set - removeGeneratingSession(sessionId) } }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-03-cancel-generating/tasks.md` around lines 74 - 81, The current finally block always calls removeGeneratingSession(sessionId) even if newAgentPresenter.cancelGeneration(sessionId) failed, which can prematurely mark the UI idle; change the flow so removeGeneratingSession(sessionId) is only invoked after a successful cancel or in response to backend END/STATUS events: move the removeGeneratingSession call out of the finally and into the successful path after await newAgentPresenter.cancelGeneration(sessionId) (or hook it to the event handler that processes the backend END/STATUS), and ensure errors from cancelGeneration are logged/propagated without clearing the generating state.docs/specs/p0-implementation/feature-06-optimistic-messages/spec.md-75-80 (1)
75-80:⚠️ Potential issue | 🟠 MajorTemp ID collision risk with rapid messages.
Using
'temp-' + Date.now()for generating temporary IDs creates a collision risk when users send multiple messages within the same millisecond (Date.now() has millisecond precision). This directly contradicts the claim in line 115 that there are "No race conditions" for multiple rapid messages.🔧 Suggested approaches to prevent collisions
Consider one of these alternatives:
Option 1: Add counter to timestamp
let counter = 0; id: `temp-${Date.now()}-${counter++}`Option 2: Use crypto.randomUUID() (if available)
id: `temp-${crypto.randomUUID()}`Option 3: Combine timestamp with random component
id: `temp-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-06-optimistic-messages/spec.md` around lines 75 - 80, The temp ID generation using 'temp-' + Date.now() in the call to messageStore.addOptimisticMessage is vulnerable to millisecond collisions; update the ID creation in the optimistic message path (where addOptimisticMessage is invoked) to produce a unique temp ID by appending a low-collision component (e.g., use crypto.randomUUID() if available, or append a monotonically incrementing counter or a random string to Date.now()) so each optimistic message gets a unique id (refer to the addOptimisticMessage invocation and the id property to locate the change).docs/specs/p0-implementation/feature-06-optimistic-messages/tasks.md-11-18 (1)
11-18:⚠️ Potential issue | 🟠 MajorSpec violates established Pinia store naming and API conventions.
The snippet uses
export const messageStore = defineStore(...)but all existing stores in the repo useuse[StoreName]Storenaming (e.g.,useMessageStore,useSessionStore). Additionally, the store already exists atsrc/renderer/src/stores/ui/message.tswith correct naming and uses the Composition API setup style (modern Pinia), not the Options API shown here. Rewrite to match the existing pattern:export const useMessageStore = defineStore('message', () => { // Composition API: ref, computed // Actions as functions })The store's
addOptimisticUserMessagemethod is already implemented in the existing store. Also ensure file path aligns with actual location (src/renderer/src/stores/ui/message.ts, notsrc/renderer/src/stores/message.ts).🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-06-optimistic-messages/tasks.md` around lines 11 - 18, The current store uses Options API and the wrong export name (export const messageStore) — rename it to export const useMessageStore and rewrite using Pinia's Composition API pattern: defineStore('message', () => { ... }) using ref/computed for messages and optimisticMessages (e.g., ref<Record<string, Message[]>> and ref(new Map<string, Message>())), move actions into plain functions instead of the actions object, and replace or delegate addOptimisticMessage to the existing addOptimisticUserMessage implementation so the API/naming matches the rest of the codebase; keep the defineStore name 'message' and ensure exported symbol is useMessageStore.docs/specs/p0-implementation/feature-06-optimistic-messages/tasks.md-137-141 (1)
137-141:⚠️ Potential issue | 🟠 MajorFire-and-forget stream kickoff in spec needs explicit error handling semantics.
The fire-and-forget pattern
this.processStream(sessionId, message)launches an async operation withoutawait,void, or error handling. SinceprocessStreamis an async function that can reject, unhandled rejections will occur if it fails. The spec should explicitly require error capture and logging for this detached async execution.Suggested spec-safe pattern:
Error handling for fire-and-forget
- this.processStream(sessionId, message) + void this.processStream(sessionId, message).catch((error) => { + this.logger?.error?.('processStream failed', { sessionId, messageId: message.id, error }) + })🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-06-optimistic-messages/tasks.md` around lines 137 - 141, The spec currently shows a fire-and-forget call to processStream(sessionId, message) without error semantics; update the spec to require callers to explicitly capture and log rejections for detached async calls — e.g., call processStream(sessionId, message).catch(err => /* log with context: sessionId, message id */) or document using a void wrapper that attaches a catch — and require the log include contextual identifiers (sessionId, message) and the error; reference the processStream function and the sessionId/message parameters so implementers know where to add the .catch and logging.P0_DESIGN_DECISIONS.md-53-53 (1)
53-53:⚠️ Potential issue | 🟠 MajorAdd 'cancelled' to the MESSAGE_STATUS type definition.
The design decision introduces a new
'cancelled'status, but this status is not yet defined in the type system. UpdateMESSAGE_STATUSinsrc/shared/types/presenters/thread.presenter.d.ts(line 54) andsrc/shared/types/presenters/legacy.presenters.d.ts(line 1204) from'sent' | 'pending' | 'error'to include'cancelled'. Also update theupdateStatusmethod insrc/main/presenter/sqlitePresenter/tables/deepchatMessages.ts(line 71) to accept the new status.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@P0_DESIGN_DECISIONS.md` at line 53, Add the new 'cancelled' variant to the MESSAGE_STATUS union type and allow it wherever message statuses are used: update the MESSAGE_STATUS type alias (currently 'sent' | 'pending' | 'error') to 'sent' | 'pending' | 'error' | 'cancelled', and update the signature of the updateStatus function/method (named updateStatus in deepchatMessages) to accept MESSAGE_STATUS (or explicitly include 'cancelled') so the method and any callers compile; ensure any type annotations or switch/if branches handling statuses account for 'cancelled' where relevant (e.g., updateStatus, MESSAGE_STATUS type alias, and any other presenter type definitions that referenced the old union).docs/specs/p0-implementation/feature-01-generating-session-ids/spec.md-127-137 (1)
127-137: 🛠️ Refactor suggestion | 🟠 MajorAdd event listener cleanup to prevent memory leaks.
The implementation example adds event listeners in
onMountedbut doesn't show cleanup inonUnmounted. This can cause memory leaks when the component is destroyed.🧹 Proposed fix to add cleanup
// Listen to stream events onMounted(() => { window.api.on(STREAM_EVENTS.END, (data) => { sessionStore.removeGeneratingSession(data.sessionId) }) window.api.on(STREAM_EVENTS.ERROR, (data) => { sessionStore.removeGeneratingSession(data.sessionId) }) }) + +onUnmounted(() => { + window.api.removeAllListeners(STREAM_EVENTS.END) + window.api.removeAllListeners(STREAM_EVENTS.ERROR) +})🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-01-generating-session-ids/spec.md` around lines 127 - 137, The mounted handler registers stream listeners with window.api.on for STREAM_EVENTS.END and STREAM_EVENTS.ERROR but never removes them; add an onUnmounted cleanup that unregisters the same handlers (use window.api.off/removeListener or the appropriate API) so the callbacks that call sessionStore.removeGeneratingSession for the given sessionId are detached; ensure you reference the same handler functions (extract the inline arrow functions into named callbacks or keep references) and call window.api.off(STREAM_EVENTS.END, handler) and window.api.off(STREAM_EVENTS.ERROR, handler) inside onUnmounted.docs/specs/p0-implementation/feature-07-cache-versioning/spec.md-120-128 (1)
120-128: 🛠️ Refactor suggestion | 🟠 MajorClarify offline mode cache version detection.
The spec states "Show warning about potentially stale data" when offline with an old cache version. However, it's unclear how the system detects the cache is "old" without server connectivity. Consider specifying:
- Whether the warning is shown for any cached data when offline
- If a timestamp-based staleness check is used
- How users are notified when connectivity is restored
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-07-cache-versioning/spec.md` around lines 120 - 128, Update the "Offline Mode" section to explicitly define how an "old" cache is detected: state whether the system treats any cached data as potentially stale when no server connectivity exists or instead uses a local cache metadata check (e.g., stored cache_version and lastUpdated timestamp) against a configurable stalenessThreshold; specify the detection algorithm (compare local cache_version to lastKnownServerVersion when online, or mark stale if now - lastUpdated > stalenessThreshold when offline), clarify that the UI should show a warning whenever data is considered stale or when serving cached data while offline, and add a short note on reconnection handling (e.g., an onConnectivityRestored/onOnline handler that revalidates cache_version, refreshes data, and clears the warning/alerts the user).docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md-118-128 (1)
118-128: 🛠️ Refactor suggestion | 🟠 MajorInconsistent data flow bypasses the message store.
Lines 121-123 load from cache and set
messages.valuedirectly, bypassing the message store entirely. However, line 125 loads throughmessageStore.loadMessages()when cache misses. Line 126 referencesmessageStore.getMessages(), which wasn't defined in Task 2.Consider a more consistent approach where the virtual scroll always loads through the store, and the store handles caching internally (as already defined in Task 2).
♻️ Proposed refactor
export function useVirtualScroll(sessionId: string) { const messages = ref<Message[]>([]) // Load from cache or backend onMounted(async () => { - const cached = loadFromCache<Message[]>('messages', sessionId) - - if (cached) { - messages.value = cached - } else { - // Load from backend via store - await messageStore.loadMessages(sessionId) - messages.value = messageStore.getMessages(sessionId) - } + // Always load through store (it handles caching) + const loadedMessages = await messageStore.loadMessages(sessionId) + messages.value = loadedMessages }) return { messages, // ... virtual scroll logic } }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md` around lines 118 - 128, The current onMounted logic bypasses the message store by calling loadFromCache and setting messages.value directly; instead, always load via the store so caching is centralized: remove the direct loadFromCache usage and call the store API (e.g., use messageStore.loadMessages(sessionId) or a single store accessor like messageStore.getMessages(sessionId) that you implement to return cached or fetched data) and then assign messages.value from that store-returned result; ensure messageStore exposes a method (loadMessages or getMessages) that handles cache read/write internally so the virtual scroll never touches loadFromCache directly.docs/specs/p0-implementation/feature-07-cache-versioning/plan.md-56-74 (1)
56-74:⚠️ Potential issue | 🟠 MajorFix function signature mismatch in test examples.
Line 60 calls
getCacheKey('session-1')with a single parameter, but the function definition in tasks.md (line 15) requires two parameters:getCacheKey(type: string, sessionId: string).Similarly, line 69 calls
loadMessages('session-1')which doesn't match the store API defined in tasks.md whereloadMessagesis a method on the messageStore object, not a standalone function.🐛 Proposed fix
test('cache key includes version', () => { - const key = getCacheKey('session-1') - expect(key).toBe(`messages-v${CACHE_VERSION}-session-1`) + const key = getCacheKey('messages', 'session-1') + expect(key).toBe(`messages-v${CACHE_VERSION}-session-1`) }) test('version mismatch invalidates cache', () => { // Set cache with old version localStorage.setItem('messages-v0-session-1', JSON.stringify({...})) // Try to load with new version - const data = loadMessages('session-1') + const data = loadFromCache('messages', 'session-1') // Should be null (cache invalidated) expect(data).toBeNull() })🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-07-cache-versioning/plan.md` around lines 56 - 74, Tests call getCacheKey and loadMessages with wrong signatures; update tests to match the API by calling getCacheKey with both parameters (e.g., getCacheKey('messages', 'session-1')) and by invoking loadMessages as a method on the store (e.g., messageStore.loadMessages('session-1')). Also update the localStorage key setup in the version-mismatch test to use the same two-arg cache key (or reuse getCacheKey) so the stored key matches what messageStore.loadMessages expects.docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md-92-99 (1)
92-99: 🛠️ Refactor suggestion | 🟠 MajorUse the invalidateCache helper for consistency.
Lines 94-95 directly access
localStorage.removeItem()instead of using theinvalidateCache()utility function defined in Task 1. This creates an inconsistency and bypasses the abstraction.♻️ Proposed fix
+import { loadFromCache, saveToCache, invalidateCache } from '@/utils/cache' export const messageStore = defineStore('message', { actions: { async refreshMessages(sessionId: string): Promise<void> { // Invalidate cache - const key = getCacheKey('messages', sessionId) - localStorage.removeItem(key) + invalidateCache('messages', sessionId) // Reload from backend await this.loadMessages(sessionId)🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md` around lines 92 - 99, Replace the direct localStorage.removeItem call in refreshMessages with the invalidateCache helper to maintain the abstraction: compute the cache key as you already do with getCacheKey('messages', sessionId) and pass that key into invalidateCache(key) (or use the invalidateCache variant that accepts ('messages', sessionId) if available), then proceed to call loadMessages(sessionId) as before; update the refreshMessages function to call invalidateCache instead of localStorage.removeItem so the utility’s logic is used consistently.docs/specs/p0-implementation/feature-04-permission-approval/tasks.md-66-67 (1)
66-67:⚠️ Potential issue | 🟠 MajorMissing implementation:
waitForPermissionResponsemethod undefined.The code calls
this.waitForPermissionResponse()but this method is not defined in this task or elsewhere in the document. The promise-based waiting mechanism needs to be documented, including how the promise is created, stored on the session, and resolved by thehandlePermissionResponsehandler in Task 4.📋 Suggested implementation pattern
Add to the task description:
// In dispatch.ts or session management private waitForPermissionResponse(): Promise<boolean> { return new Promise<boolean>((resolve) => { // Store resolver on session so handlePermissionResponse can call it this.session.permissionResolver = resolve }) }This connects to Task 4 line 149 where
session.permissionResolver(approved)is called.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-04-permission-approval/tasks.md` around lines 66 - 67, Implement the missing waitForPermissionResponse method used by the task: create a method named waitForPermissionResponse that returns a Promise<boolean>, capture its resolver and store it on the session (e.g., this.session.permissionResolver = resolve) so the handlePermissionResponse handler can call session.permissionResolver(approved) to resolve the promise; ensure the method's signature and session property are typed (permissionResolver?: (v: boolean)=>void) and consider clearing the resolver after resolution to avoid leaks.docs/specs/p0-implementation/feature-04-permission-approval/tasks.md-1-176 (1)
1-176: 🛠️ Refactor suggestion | 🟠 MajorDocument required type definitions and Session interface extensions.
The tasks reference several types and session properties that need to be defined but aren't documented:
Missing type definitions:
PermissionRequest(Task 3, line 110)ToolCallwith properties: name, path, action (Task 2)PERMISSION_EVENTSconstants (Task 2, line 56)Session interface extensions needed:
interface Session { permission_mode: 'full' | 'default' projectDir: string status: 'generating' | 'paused' | ... pendingPermission?: { toolName: string path: string action: string } permissionResolver?: (approved: boolean) => void }Consider adding a Task 0 or Appendix section documenting these prerequisites.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-04-permission-approval/tasks.md` around lines 1 - 176, The spec references missing types and Session fields causing build/runtime errors: add type definitions for PermissionRequest, ToolCall (with name, path, action) and PERMISSION_EVENTS constants, and extend the Session interface with permission_mode, projectDir, status, pendingPermission, and permissionResolver as used by PermissionChecker, dispatch.executeTools, PermissionDialog and handlePermissionResponse; add these definitions in a common types file (or module) imported by src/main/presenter/deepchatAgentPresenter/permissionChecker.ts, src/main/presenter/deepchatAgentPresenter/dispatch.ts, src/renderer/src/components/chat/PermissionDialog.vue and src/main/presenter/newAgentPresenter/index.ts, and include a short Task 0 or Appendix in the document listing these prerequisites.docs/specs/p0-implementation/feature-04-permission-approval/tasks.md-138-150 (1)
138-150:⚠️ Potential issue | 🟠 MajorMissing error handling and validation.
The method lacks error handling for several potential failure scenarios:
- Session might not exist (line 138)
pendingPermissionmight be undefined (lines 143-144)permissionResolvermight not exist (line 149)- Database operations could fail (line 142)
🛡️ Add error handling
async handlePermissionResponse( sessionId: string, approved: boolean, remember: boolean ): Promise<void> { const session = await this.sessionManager.getSession(sessionId) + + if (!session) { + throw new Error(`Session ${sessionId} not found`) + } + + if (!session.pendingPermission) { + throw new Error('No pending permission request') + } + + if (!session.permissionResolver) { + throw new Error('Permission resolver not initialized') + } if (approved && remember) { - // Add to whitelist - await this.permissionChecker.addToWhitelist( - session.pendingPermission.toolName, - session.pendingPermission.path - ) + try { + await this.permissionChecker.addToWhitelist( + session.pendingPermission.toolName, + session.pendingPermission.path + ) + } catch (error) { + console.error('Failed to add to whitelist:', error) + // Decide: should we still resolve the permission or reject? + } } // Resolve the waiting promise session.permissionResolver(approved) + + // Clean up + session.pendingPermission = null + session.permissionResolver = null }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-04-permission-approval/tasks.md` around lines 138 - 150, Validate and guard against missing session, pendingPermission, and permissionResolver when calling sessionManager.getSession(sessionId): if session is null/undefined, reject/throw or return an error early; before calling permissionChecker.addToWhitelist ensure session.pendingPermission and its toolName/path exist and return an error if not; wrap the database call permissionChecker.addToWhitelist(...) in a try/catch to handle DB failures and surface/log the error; ensure session.permissionResolver exists before invoking it and call it with a failure value (e.g., false) or reject the waiting promise when any validation or DB error occurs so the caller is notified.docs/specs/p0-implementation/feature-04-permission-approval/tasks.md-106-122 (1)
106-122:⚠️ Potential issue | 🟠 MajorMissing event listener: Component cannot receive permission requests.
The component defines handlers for approve/deny but lacks an event listener to receive permission requests from the backend. Task 2 shows
eventBus.sendToRenderer(PERMISSION_EVENTS.REQUEST, ...)(line 56), but there's no corresponding listener here to populate therequestref.🔌 Add event listener setup
<script setup lang="ts"> -import { ref } from 'vue' +import { ref, onMounted, onUnmounted } from 'vue' import { usePresenter } from '@/composables/usePresenter' +import { eventBus, PERMISSION_EVENTS } from '@/utils/eventBus' +import type { PermissionRequest } from '@/types' const request = ref<PermissionRequest | null>(null) const remember = ref(false) const newAgentPresenter = usePresenter('newAgent') + +onMounted(() => { + eventBus.on(PERMISSION_EVENTS.REQUEST, (data: PermissionRequest) => { + request.value = data + }) +}) + +onUnmounted(() => { + eventBus.off(PERMISSION_EVENTS.REQUEST) +}) function handleApprove() { newAgentPresenter.handlePermissionResponse(request.value.sessionId, true, remember.value) }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-04-permission-approval/tasks.md` around lines 106 - 122, Add a listener to receive permission requests and populate the request ref: import and use the app event bus and PERMISSION_EVENTS.REQUEST in the component (alongside ref and usePresenter), register a handler in onMounted that sets request.value to the incoming payload (and optionally sets remember.value), and remove the listener in onUnmounted to avoid leaks; ensure you guard against null request before calling newAgentPresenter.handlePermissionResponse in handleApprove/handleDeny.
🧹 Nitpick comments (16)
docs/specs/p0-implementation/feature-03-cancel-generating/spec.md (1)
9-13: Tighten repeated user-story phrasing for readability.Line 11 repeats the same “I want to …” pattern used in nearby lines. Consider varying one sentence to reduce repetition noise.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-03-cancel-generating/spec.md` around lines 9 - 13, The bullet list repeats the “As a user, I want to …” phrasing; update the third bullet ("As a user, I want to send a new message after cancelling generation") to vary wording for readability—e.g., change it to "Allow sending a new message after cancelling generation" or "Users can send a new message after cancelling"—so the set of bullets reads less repetitive while preserving the same requirement; edit the third list item in spec.md accordingly.docs/specs/p0-implementation/feature-06-optimistic-messages/plan.md (1)
17-21: Define deterministic ordering during optimistic→real replacement.
orderSeqis noted, but the plan should explicitly define sorting before and after merge (e.g., client timestamp while pending, then serverorderSeqonce confirmed) to avoid message jumps/reordering flicker.Also applies to: 43-44
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-06-optimistic-messages/plan.md` around lines 17 - 21, The plan must explicitly define deterministic sorting for optimistic→real message replacement: when messages are pending (optimistic, temp IDs) sort by client-side timestamp (e.g., clientTimestamp) to render immediate order, and upon server confirmation replace the optimistic message (match by temp ID) and re-sort by server orderSeq (the canonical orderSeq) so the UI uses orderSeq for confirmed messages; update the optimistic->real merge logic (the routine that replaces temp messages with server messages) to perform this replace-by-temp-id and then a stable sort that treats confirmed messages by orderSeq and pending messages by clientTimestamp to avoid flicker/reordering.docs/specs/p0-implementation/feature-03-cancel-generating/tasks.md (1)
95-101: Add idempotency to Definition of Done.Please add an explicit DoD item that repeated cancel calls are no-op safe and do not throw. This prevents retry-driven UX regressions.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-03-cancel-generating/tasks.md` around lines 95 - 101, Update the Definition of Done checklist by adding an explicit item that repeated cancel calls are idempotent/no-op and do not throw; add a new checkbox line (e.g., "- [ ] Repeated cancel calls are idempotent (no-op) and do not throw") alongside the existing checklist entries such as "User can send new message after cancel" so reviewers/testers verify retry-safe cancel behavior.docs/specs/p0-implementation/feature-06-optimistic-messages/spec.md (2)
9-12: Consider adding a user story for retry scenarios.The edge cases section (line 104) mentions allowing users to retry failed messages, but there's no corresponding user story. Adding one would help ensure the retry UX is properly considered during implementation.
Example: "As a user, I want to retry sending a failed message without retyping it"
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-06-optimistic-messages/spec.md` around lines 9 - 12, Add a user story for retrying failed messages to the existing stories list in the optimistic messages spec: insert a new bullet such as "As a user, I want to retry sending a failed message without retyping it" alongside the other bullets at the top of spec.md so the edge cases section’s retry behavior is mirrored in the user stories and drives UX/implementation decisions.
131-131: Specify message ordering field.The spec mentions "Use orderSeq or timestamp for ordering" without clarifying which field should be used or whether both are needed. This creates implementation ambiguity.
Recommendation: Specify the exact field(s) to use for ordering and whether fallback behavior is needed if one field is missing.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-06-optimistic-messages/spec.md` at line 131, Specify deterministic ordering for messages: use Message.orderSeq as the primary sort key (ascending), and if orderSeq is absent or null fall back to Message.timestamp (ascending); if both orderSeq and timestamp are equal or missing, use a deterministic tie-breaker such as Message.id (lexicographic) or Message.createdAt to ensure stable ordering. Update the spec text where it currently says "Use orderSeq or timestamp for ordering" to explicitly list the precedence: orderSeq -> timestamp -> id/createdAt, and document behavior for missing fields and equal values.P0_DESIGN_DECISIONS.md (1)
15-235: Consider using consistent terminology: 'Decision' vs 'Feature'.Throughout the document, you use both "Decision 1-8" and "Feature 1-7" to refer to the same items. This dual numbering system creates confusion, especially when the numbers don't align (e.g., Decision 3 vs Feature 4 for Permission Mode).
Consider one of these approaches:
- Always refer to items by their Decision number (e.g., "Decision 3: Permission approval flow")
- Use descriptive names instead of numbers in implementation sections (e.g., "Permission approval flow" instead of "Feature 4")
- Create an explicit mapping table showing Decision number → Feature number → Name
This would make the documentation clearer and reduce the risk of misalignment during implementation.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@P0_DESIGN_DECISIONS.md` around lines 15 - 235, Summary: The doc mixes "Decision N" and "Feature N" labels causing ambiguity; pick a single consistent naming scheme and update the document accordingly. Fix: choose one approach (preferably use Decision numbers or descriptive names) and apply it across headings and lists—rename entries in "Implementation", "Testing Checklist", and "Implementation Order" to match (e.g., change "Feature 1 (generatingSessionIds)" to "Decision 1: generatingSessionIds" or "Generating session IDs"), update references like "Feature 4: Permission approval flow" to the chosen naming, and add a short explicit mapping table mapping Decision X ↔ Feature Y ↔ Name if you must preserve legacy feature numbers; ensure symbols to update include the headings "Decision 1"..."Decision 8", the "Feature 1"..."Feature 7" labels, the "Testing Checklist" lines, and the "Implementation Order" phase items.docs/specs/p0-implementation/feature-01-generating-session-ids/tasks.md (1)
40-41: Redundant export statement.The export statement on line 41 re-exports functions that are already exported individually (lines 28, 32, 36). While not incorrect, this is redundant and could be simplified.
🧹 Suggested simplification
export function isGenerating(sessionId: string): boolean { return generatingSessionIds.value.has(sessionId) } - -// Export for use in components -export { generatingSessionIds, addGeneratingSession, removeGeneratingSession, isGenerating }The functions are already available for import due to the individual
export functiondeclarations.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-01-generating-session-ids/tasks.md` around lines 40 - 41, Remove the redundant aggregate export line that re-exports generatingSessionIds, addGeneratingSession, removeGeneratingSession, and isGenerating since each function is already declared with an individual export; delete the final export statement (export { generatingSessionIds, addGeneratingSession, removeGeneratingSession, isGenerating }) so only the existing exported function declarations remain.docs/specs/p0-implementation/feature-02-input-disable-stop/spec.md (1)
99-99: Clarify the dependency on Feature 3.The flow references
sessionStore.cancelGenerating(sessionId)from Feature 3, which is not yet implemented. Consider making this dependency more explicit to avoid confusion.📝 Suggested clarification
-sessionStore.cancelGenerating(sessionId) (Feature 3) +// TODO: Implement in Feature 3 - CancelGenerating Implementation +// For now, this will trigger the cancellation flow once Feature 3 is complete +sessionStore.cancelGenerating(sessionId)🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-02-input-disable-stop/spec.md` at line 99, Make the dependency on Feature 3 explicit by adding a clear note near the reference to sessionStore.cancelGenerating(sessionId) that this call relies on Feature 3 being implemented; mention the specific symbol sessionStore.cancelGenerating(sessionId) and the owning module/class sessionStore, and indicate that until Feature 3 is available the flow is a placeholder or must be guarded (e.g., feature-flagged or documented) so readers know the call will be implemented later.docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md (4)
36-39: Consider handling localStorage quota exceeded errors.
localStorage.setItem()can throw aQuotaExceededErrorwhen storage limits are reached. Consider adding try-catch to handle this gracefully.🛡️ Proposed fix
export function saveToCache<T>(type: string, sessionId: string, data: T): void { const key = getCacheKey(type, sessionId) - localStorage.setItem(key, JSON.stringify(data)) + try { + localStorage.setItem(key, JSON.stringify(data)) + } catch (error) { + console.warn(`Failed to save cache for key ${key}:`, error) + // Optionally: attempt to free space by invalidating old entries + } }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md` around lines 36 - 39, The saveToCache function currently calls localStorage.setItem without handling storage quota errors; wrap the localStorage.setItem call inside a try-catch within saveToCache (referencing saveToCache and getCacheKey) to catch QuotaExceededError (or generic errors), and handle them gracefully—e.g., log the error via your logger, optionally evict old keys or run a cleanup strategy, and avoid throwing so the app remains stable when storage limits are reached.
20-33: Add error logging for cache corruption.The catch block silently removes corrupted cache entries without logging. Per the spec (line 109 in spec.md: "Log error for debugging"), errors should be logged to aid debugging.
📝 Proposed fix
try { return JSON.parse(data) as T } catch (error) { + console.error(`Cache corrupted for key ${key}:`, error) // Cache corrupted, invalidate localStorage.removeItem(key) return null }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md` around lines 20 - 33, The catch in loadFromCache currently deletes corrupted cache entries silently; update the catch to log the error (including the cache key and the caught error) before calling localStorage.removeItem(key) so debugging info is available; locate the loadFromCache function and add a descriptive error log (e.g., via console.error or the project logger) that mentions getCacheKey(type, sessionId) / key and the JSON.parse exception, then continue to remove the item and return null.
155-155: Date inconsistency in version history.The version history shows "v1 (2026-02-28)" but the PR was created on 2026-02-24. Consider using the actual implementation date or a consistent timestamp.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md` at line 155, The version entry "v1 (2026-02-28)" in the version history is inconsistent with the PR creation date; update that date to a consistent timestamp (e.g., "v1 (2026-02-24)" or the actual implementation/release date) so the history is accurate and consistent; locate the string "v1 (2026-02-28)" in the version history block of docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md and replace it with the chosen correct date.
67-102: Note: Code example is incomplete for demonstration purposes.The code example is missing required imports (
defineStorefrom Pinia,usePresenter,Messagetype) and assumes certain store structure. This is acceptable for a task document, but implementers should ensure all dependencies are properly imported.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md` around lines 67 - 102, The example store is missing required imports and an explicit store state shape: add imports for defineStore (from 'pinia'), the Message type, and usePresenter (where it’s defined) and ensure the messageStore defines a messages state (e.g., a Record<string, Message[]>) so loadMessages and refreshMessages can read/write this.messages[sessionId]; also import or declare helper functions (loadFromCache, saveToCache, getCacheKey) as shown and update the function signatures (loadMessages, refreshMessages) to use the imported Message type for correct typing.docs/specs/p0-implementation/feature-07-cache-versioning/plan.md (1)
78-94: Note: Test examples need complete setup code.The integration test examples are missing imports, store initialization, and mock setup for the backend API. While acceptable for planning documentation, implementers should ensure proper test scaffolding including:
- Importing all required modules
- Mocking the backend presenter API
- Initializing Pinia stores
- Setting up and tearing down test state
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-07-cache-versioning/plan.md` around lines 78 - 94, The test "cache version bump works" is missing scaffolding: import required test libs and the message store, initialize Pinia and instantiate messageStore, and mock the backend presenter API used by messageStore.loadMessages; before the test set localStorage with oldKey ('messages-v0-session-1') and ensure the mocked backend returns messages, call messageStore.loadMessages('session-1'), assert messageStore.messages and that localStorage contains newKey ('messages-v1-session-1'), and add proper setup/teardown to reset Pinia, clear localStorage, and restore mocks after each test.docs/specs/p0-implementation/feature-07-cache-versioning/spec.md (1)
48-80: Add language identifiers to fenced code blocks.The flow diagrams should specify a language identifier (e.g.,
textormermaid) for consistent rendering and to satisfy markdown linting rules.📝 Suggested fix
For the state management flow (line 48):
-``` +```text App startupFor the event flow (line 64):
-``` +```text Component mounts🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-07-cache-versioning/spec.md` around lines 48 - 80, The fenced flow diagrams in the spec currently lack language identifiers; update the two blocks that describe the startup flow and the event flow so they include a language tag (e.g., "text" or "mermaid") — specifically the block showing "App startup → Load messages..." and the block under "Event Flow" that begins with "Component mounts" (references in the doc to the cache key `messages-v${CACHE_VERSION}-${sessionId}` and the hook useVirtualScroll(sessionId) can help you find the exact sections); add the chosen language identifier after the opening triple backticks for both blocks to satisfy markdown linting and ensure consistent rendering.docs/specs/p0-implementation/feature-04-permission-approval/tasks.md (2)
28-30: Implementation placeholder noted.The
addToWhitelistmethod is currently a stub. Ensure the actual implementation includes proper database operations, error handling, and validation of thepathPatternparameter before persisting to thepermission_whiteliststable.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-04-permission-approval/tasks.md` around lines 28 - 30, The addToWhitelist method is a stub and must be implemented to validate and persist whitelist entries: inside addToWhitelist(toolName: string, pathPattern: string) validate that pathPattern is non-empty and matches an allowed pattern/regex, normalize/sanitize inputs, check for existing entries in the permission_whitelists table (using the repository/DB client used elsewhere in the codebase), then insert or upsert the new row within a transaction; catch DB errors, log details, and rethrow a controlled error (e.g., InvalidInputError or DatabaseError) so callers can handle it; ensure you reference addToWhitelist and the permission_whitelists table and follow existing DB client patterns for queries, transactions, and error handling.
162-170: Consider adding security review to Definition of Done.The permission system is security-critical as it controls access to filesystem operations. Consider adding explicit checkboxes for:
- Security review completed (path traversal prevention, whitelist validation)
- Input sanitization for paths and tool names verified
- Edge cases tested (symbolic links, relative paths, case sensitivity)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/feature-04-permission-approval/tasks.md` around lines 162 - 170, Update the "Definition of Done" checklist under the "Definition of Done" heading to include explicit security review items: add checkboxes for "Security review completed (path traversal prevention, whitelist validation)", "Input sanitization for paths and tool names verified", and "Edge cases tested (symbolic links, relative paths, case sensitivity)". Ensure these new items are added alongside the existing tasks so reviewers must verify security-critical aspects of the permission system before closing the task.
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📒 Files selected for processing (29)
GAP_ANALYSIS_SUMMARY.mdP0_DESIGN_DECISIONS.mdP0_IMPLEMENTATION_SUMMARY.mddocs/specs/agentpresenter-mvp-replacement/gap-analysis.mddocs/specs/agentpresenter-mvp-replacement/plan.mddocs/specs/agentpresenter-mvp-replacement/spec.mddocs/specs/agentpresenter-mvp-replacement/tasks.mddocs/specs/p0-implementation/README.mddocs/specs/p0-implementation/feature-01-generating-session-ids/plan.mddocs/specs/p0-implementation/feature-01-generating-session-ids/spec.mddocs/specs/p0-implementation/feature-01-generating-session-ids/tasks.mddocs/specs/p0-implementation/feature-02-input-disable-stop/plan.mddocs/specs/p0-implementation/feature-02-input-disable-stop/spec.mddocs/specs/p0-implementation/feature-02-input-disable-stop/tasks.mddocs/specs/p0-implementation/feature-03-cancel-generating/plan.mddocs/specs/p0-implementation/feature-03-cancel-generating/spec.mddocs/specs/p0-implementation/feature-03-cancel-generating/tasks.mddocs/specs/p0-implementation/feature-04-permission-approval/plan.mddocs/specs/p0-implementation/feature-04-permission-approval/spec.mddocs/specs/p0-implementation/feature-04-permission-approval/tasks.mddocs/specs/p0-implementation/feature-05-session-list-refresh/plan.mddocs/specs/p0-implementation/feature-05-session-list-refresh/spec.mddocs/specs/p0-implementation/feature-05-session-list-refresh/tasks.mddocs/specs/p0-implementation/feature-06-optimistic-messages/plan.mddocs/specs/p0-implementation/feature-06-optimistic-messages/spec.mddocs/specs/p0-implementation/feature-06-optimistic-messages/tasks.mddocs/specs/p0-implementation/feature-07-cache-versioning/plan.mddocs/specs/p0-implementation/feature-07-cache-versioning/spec.mddocs/specs/p0-implementation/feature-07-cache-versioning/tasks.md
✅ Files skipped from review due to trivial changes (1)
- docs/specs/p0-implementation/README.md
🚧 Files skipped from review as they are similar to previous changes (1)
- docs/specs/agentpresenter-mvp-replacement/spec.md
| await this.messageStore.updateMessageStatus(sessionId, 'cancelled') | ||
|
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Add missing updateMessageStatus method to DeepChatMessageStore and use messageId instead of sessionId.
Line 19 calls this.messageStore.updateMessageStatus(sessionId, 'cancelled') but has two critical issues:
- The
updateMessageStatusmethod does not exist inDeepChatMessageStoreand must be implemented. - The method signature across all message store implementations expects
messageIdas the first parameter, notsessionId(seesrc/main/presenter/sessionPresenter/managers/messageManager.ts:251).
The task must add the missing method to DeepChatMessageStore and retrieve the active assistant message ID from the session before calling the update.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/specs/p0-implementation/feature-03-cancel-generating/tasks.md` around
lines 19 - 20, DeepChatMessageStore is missing an updateMessageStatus
implementation and the call uses sessionId instead of the required messageId;
add an async method updateMessageStatus(messageId: string, status: string):
Promise<void> to DeepChatMessageStore that updates the stored message status
(matching other store implementations' signature), and change the caller that
currently does this.messageStore.updateMessageStatus(sessionId, 'cancelled') to
first obtain the active assistant message ID from the session (e.g.,
session.getActiveAssistantMessageId() or session.activeAssistantMessageId) and
pass that messageId into messageStore.updateMessageStatus(messageId,
'cancelled'); reference DeepChatMessageStore and the call site
messageStore.updateMessageStatus to locate and implement the fix.
| private isWithinProjectDir(path: string): boolean { | ||
| const normalized = path.resolve(path) | ||
| const projectDir = path.resolve(this.session.projectDir) | ||
| return normalized.startsWith(projectDir) | ||
| } |
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Critical bug: Invalid use of path parameter as Node.js module.
The method parameter path shadows the Node.js path module. Calling path.resolve(path) will throw "TypeError: path.resolve is not a function" at runtime.
Proposed fix
+import * as pathModule from 'path'
+
export class PermissionChecker {
constructor(private session: Session) {}
// ... other methods ...
private isWithinProjectDir(path: string): boolean {
- const normalized = path.resolve(path)
- const projectDir = path.resolve(this.session.projectDir)
+ const normalized = pathModule.resolve(path)
+ const projectDir = pathModule.resolve(this.session.projectDir)
return normalized.startsWith(projectDir)
}
}🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/specs/p0-implementation/feature-04-permission-approval/tasks.md` around
lines 32 - 36, The method isWithinProjectDir wrongly names its parameter "path",
shadowing the Node.js "path" module and causing path.resolve to be undefined at
runtime; rename the parameter (e.g., to "filePath" or "targetPath") and update
all uses inside isWithinProjectDir to call path.resolve(filePath) while keeping
path.resolve(this.session.projectDir) unchanged so the module reference remains
valid; ensure references in other callers are updated to pass the renamed
parameter name where needed.
| export function invalidateCache(type: string, sessionId?: string): void { | ||
| if (sessionId) { | ||
| // Invalidate specific session | ||
| const key = getCacheKey(type, sessionId) | ||
| localStorage.removeItem(key) | ||
| } else { | ||
| // Invalidate all sessions of this type | ||
| const prefix = `${type}-v${CACHE_VERSION}` | ||
| for (let i = 0; i < localStorage.length; i++) { | ||
| const key = localStorage.key(i) | ||
| if (key?.startsWith(prefix)) { | ||
| localStorage.removeItem(key) | ||
| } | ||
| } | ||
| } | ||
| } |
There was a problem hiding this comment.
Fix unsafe localStorage iteration during removal.
The loop at lines 50-56 modifies localStorage while iterating over it by index. Calling removeItem() during iteration can shift indices and cause keys to be skipped, leading to incomplete cache invalidation.
🐛 Proposed fix
export function invalidateCache(type: string, sessionId?: string): void {
if (sessionId) {
// Invalidate specific session
const key = getCacheKey(type, sessionId)
localStorage.removeItem(key)
} else {
// Invalidate all sessions of this type
const prefix = `${type}-v${CACHE_VERSION}`
+ const keysToRemove: string[] = []
for (let i = 0; i < localStorage.length; i++) {
const key = localStorage.key(i)
if (key?.startsWith(prefix)) {
- localStorage.removeItem(key)
+ keysToRemove.push(key)
}
}
+ keysToRemove.forEach(key => localStorage.removeItem(key))
}
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| export function invalidateCache(type: string, sessionId?: string): void { | |
| if (sessionId) { | |
| // Invalidate specific session | |
| const key = getCacheKey(type, sessionId) | |
| localStorage.removeItem(key) | |
| } else { | |
| // Invalidate all sessions of this type | |
| const prefix = `${type}-v${CACHE_VERSION}` | |
| for (let i = 0; i < localStorage.length; i++) { | |
| const key = localStorage.key(i) | |
| if (key?.startsWith(prefix)) { | |
| localStorage.removeItem(key) | |
| } | |
| } | |
| } | |
| } | |
| export function invalidateCache(type: string, sessionId?: string): void { | |
| if (sessionId) { | |
| // Invalidate specific session | |
| const key = getCacheKey(type, sessionId) | |
| localStorage.removeItem(key) | |
| } else { | |
| // Invalidate all sessions of this type | |
| const prefix = `${type}-v${CACHE_VERSION}` | |
| const keysToRemove: string[] = [] | |
| for (let i = 0; i < localStorage.length; i++) { | |
| const key = localStorage.key(i) | |
| if (key?.startsWith(prefix)) { | |
| keysToRemove.push(key) | |
| } | |
| } | |
| keysToRemove.forEach(key => localStorage.removeItem(key)) | |
| } | |
| } |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/specs/p0-implementation/feature-07-cache-versioning/tasks.md` around
lines 42 - 57, The invalidateCache function mutates localStorage while iterating
by index which can skip keys; update invalidateCache to first collect matching
keys then remove them (or iterate indices backwards) instead of calling
localStorage.removeItem during the forward index loop; reference the function
invalidateCache, the CACHE_VERSION constant and helper getCacheKey when locating
the code and ensure the prefix `${type}-v${CACHE_VERSION}` matching logic is
unchanged while performing removals from the collected key list.
There was a problem hiding this comment.
Actionable comments posted: 1
🧹 Nitpick comments (1)
docs/specs/p0-implementation/README.md (1)
115-116: Tighten event-contract wording for clarity.At Line 115, consider changing “payload” to “payload schema(s)” to make the contract definition unambiguous and avoid mixed singular/plural interpretation.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/specs/p0-implementation/README.md` around lines 115 - 116, Update the wording around the event contract to replace ambiguous "payload" with "payload schema(s)" wherever SESSION_EVENTS or STREAM_EVENTS are described (e.g., the line listing "SESSION_EVENTS/STREAM_EVENTS payload"), so the contract explicitly refers to the schema definition(s) rather than a singular/plural payload value; ensure both occurrences for SESSION_EVENTS and STREAM_EVENTS are changed and any nearby references to "payload" follow the same "payload schema(s)" phrasing for consistency.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@docs/specs/p0-implementation/README.md`:
- Around line 3-5: Update the header "Branch:" metadata in the README's
front-matter to match the PR/source branch `feat/new-thread-mock` (or explicitly
add a parenthetical note that the document was ported from
`feat/new-arch-complete`), i.e., edit the "Branch:" line in the header block so
it either reads `Branch: feat/new-thread-mock` or `Branch: feat/new-thread-mock
(ported from feat/new-arch-complete)` to ensure branch traceability.
---
Nitpick comments:
In `@docs/specs/p0-implementation/README.md`:
- Around line 115-116: Update the wording around the event contract to replace
ambiguous "payload" with "payload schema(s)" wherever SESSION_EVENTS or
STREAM_EVENTS are described (e.g., the line listing
"SESSION_EVENTS/STREAM_EVENTS payload"), so the contract explicitly refers to
the schema definition(s) rather than a singular/plural payload value; ensure
both occurrences for SESSION_EVENTS and STREAM_EVENTS are changed and any nearby
references to "payload" follow the same "payload schema(s)" phrasing for
consistency.
| **Date:** 2026-02-28 | ||
| **Branch:** `feat/new-arch-complete` | ||
| **Status:** Draft v2 (Scope Aligned Across New-Agent / New-UI / Default-Model Specs) |
There was a problem hiding this comment.
Fix branch metadata mismatch in the header.
Line 4 lists feat/new-arch-complete, but this PR’s source branch is feat/new-thread-mock. Please align this metadata (or explicitly note this doc was ported from another branch) to avoid traceability confusion.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/specs/p0-implementation/README.md` around lines 3 - 5, Update the header
"Branch:" metadata in the README's front-matter to match the PR/source branch
`feat/new-thread-mock` (or explicitly add a parenthetical note that the document
was ported from `feat/new-arch-complete`), i.e., edit the "Branch:" line in the
header block so it either reads `Branch: feat/new-thread-mock` or `Branch:
feat/new-thread-mock (ported from feat/new-arch-complete)` to ensure branch
traceability.
2 participants
Summary by CodeRabbit
New Features
Documentation
Tests
Chores