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perf: optimize message cache and cloning operations (#1285)
* chore: release v0.5.6-beta.5 * chore: typecheck with tsgo (#1278) * feat: image left align * feat: app settings skills (#1283) * docs: add spec for app-settings * feat: implement chat-driven settings control with skill gating Add a safe, validated API for modifying DeepChat application settings via natural language. Settings changes are controlled by a dedicated 'deepchat-settings' skill to ensure tools are only available when contextually relevant. Key features: - Skill-gated tool injection: settings tools only appear when deepchat-settings skill is active - Safe settings apply API with Zod validation and strict allowlist - Support for toggles (sound, copy COT, chat mode) and enums (language, theme, font size) - Defense-in-depth: runtime skill verification before applying changes - Deep-linked settings navigation for unsupported/complex settings - Comprehensive test coverage for validation, mapping, and skill gating Changes: - Add ChatSettingsToolHandler with validated apply/open methods - Integrate with AgentToolManager for tool definition gating - Create deepchat-settings built-in skill with clear activation rules - Add shared types for requests/responses (chatSettings.ts) - Implement settings window navigation with SECTION_ALIASES - Add unit tests for handler and integration tests for tool gating - Translate spec documents (plan.md, spec.md, tasks.md) to Chinese - Fix type errors in getCurrentValue and OPEN_SECTION_VALUES * refactor: remove chatMode from settings control and add permission service Remove chatMode setting from the allowlist as it requires conversation-scoped updates that are better handled separately. Add permission checking for settings window opening to provide user control over settings navigation. Key changes: - Remove setChatMode tool and related schemas from ChatSettingsToolHandler - Add SettingsPermissionService for managing tool approvals (one-time and session) - Add permission check for deepchat_settings_open tool - Update PermissionHandler to handle settings permission grants - Add rememberable flag to permission request structure - Update AgentToolManager to consume approvals before opening settings - Add settingsPermissionService to main presenter index - Clear settings approvals when conversation ends - Update spec documents to reflect removed chatMode feature - Remove chatMode-related tests and types This ensures settings window opening requires explicit user approval and provides a cleaner separation of concerns for chat mode management. * docs: translate to en * feat: voice ai text to speech * feat: voice ai call phone * Initial plan * perf: optimize message cache and cloning operations - Add reverse index for O(1) thread lookup in messageRuntimeCache - Extract duplicate cloneMessageWithContent to shared utility - Replace JSON.parse/stringify with structuredClone - Filter before cloning in messageTruncator to avoid wasted work Co-authored-by: zhangmo8 <43628500+zhangmo8@users.noreply.github.com> * docs: add comprehensive performance optimization analysis Add detailed optimization analysis document covering: - Implemented optimizations (cache, cloning, filtering) - High priority opportunities (provider consolidation, IPC batching) - Medium/low priority improvements (DB indices, token caching) - Performance metrics and recommendations Co-authored-by: zhangmo8 <43628500+zhangmo8@users.noreply.github.com> * docs: add Chinese optimization summary Add user-friendly Chinese summary of optimization work Co-authored-by: zhangmo8 <43628500+zhangmo8@users.noreply.github.com> --------- Co-authored-by: zerob13 <zerob13@gmail.com> Co-authored-by: xiaomo <wegi866@gmail.com> Co-authored-by: wanna <wanna.w@binarywalk.com> Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: zhangmo8 <43628500+zhangmo8@users.noreply.github.com>
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‎.vscode/settings.json‎

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"i18n-ally.keystyle": "nested",
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"i18n-ally.sourceLanguage": "zh-CN",
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"i18n-ally.namespace": true,
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"i18n-ally.pathMatcher": "{locale}/{namespaces}.json"
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"i18n-ally.pathMatcher": "{locale}/{namespaces}.json",
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"unocss.disable": true,
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"typescript.experimental.useTsgo": true
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}

‎CHANGELOG.md‎

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# Changelog
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## v0.5.6-beta.5 (2025-01-16)
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- 全新 Skills 管理系统，支持技能安装、同步与多平台适配
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- 新增 o3.fan 提供商、优化工具调用（大型调用卸载、差异块展示、权限管理）、性能提升（消息列表虚拟滚动、流式事件批处理调度）
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- 修复多项问题：Ollama 错误处理、滚动定位、聊天输入高度、macOS 全屏等
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- All-new Skills management system with installation, sync, and multi-platform adapters
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- Added o3.fan provider, enhanced tool calls (offloading, diff blocks, permissions), performance boost (message list virtual scrolling, batched stream scheduling)
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- Fixed multiple issues: Ollama error handling, scroll positioning, chat input height, macOS fullscreen, etc.
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## v0.5.6-beta.4 (2025-12-30)
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- 全面重构 Agent 与会话架构：拆分 agent/session/loop/tool/persistence，替换 Thread Presenter 为 Session Presenter，强化消息压缩、工具调用、持久化与导出
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- 增强搜索体验：新增 Search Presenter 与搜索提示模板，完善搜索助手与搜索引擎配置流程

‎docs/OPTIMIZATION_ANALYSIS.md‎

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# DeepChat Performance Optimization Analysis
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*Generated: 2026-01-20*
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## Executive Summary
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This document provides a comprehensive analysis of performance optimization opportunities identified in the DeepChat codebase. The analysis covers memory management, algorithmic efficiency, code duplication, and architectural improvements.
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## ✅ Implemented Optimizations (PR #xxx)
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### 1. Message Runtime Cache O(1) Lookup
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**File**: `src/renderer/src/lib/messageRuntimeCache.ts`
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**Problem**:
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- `clearCachedMessagesForThread()` performed O(n) iteration over all entries
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- Inefficient for applications with many messages/threads
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**Solution**:
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- Added reverse index `threadToMessagesMap: Map<threadId, Set<messageId>>`
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- Changed complexity from O(n) to O(1) for thread-based cache clearing
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- Ensured atomic cleanup across all three maps (cache, threadMap, domInfo)
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**Impact**: High - Significant performance improvement for large conversation histories
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### 2. Efficient Deep Cloning
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**Files**:
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- `src/main/presenter/agentPresenter/message/messageCompressor.ts`
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- `src/main/presenter/agentPresenter/message/messageTruncator.ts`
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- `src/main/presenter/agentPresenter/message/messageUtils.ts` (new)
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**Problem**:
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- Used `JSON.parse(JSON.stringify())` for deep cloning - expensive for large objects
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- Code duplication between compressor and truncator
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**Solution**:
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- Extracted shared `cloneMessageWithContent()` utility
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- Replaced JSON serialization with `structuredClone()` for better performance
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- Uses shallow cloning with selective deep copy for tool_call blocks
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**Impact**: Medium - Reduces CPU overhead during message processing
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### 3. Filter-Before-Clone Optimization
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**File**: `src/main/presenter/agentPresenter/message/messageTruncator.ts`
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**Problem**:
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```typescript
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// Old: Clone ALL messages, then filter
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const messages = contextMessages
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.filter((msg) => msg.id !== userMessage?.id)
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.map((msg) => cloneMessageWithContent(msg))
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.reverse()
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let selectedMessages = messages.filter((msg) => msg.status === 'sent')
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```
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**Solution**:
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```typescript
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// New: Filter first, clone only what's needed
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const messages = contextMessages
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.filter((msg) => msg.id !== userMessage?.id && msg.status === 'sent')
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.reverse()
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.map((msg) => cloneMessageWithContent(msg))
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```
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**Impact**: Medium - Avoids wasted cloning operations on filtered items
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---
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## 🔍 Identified Optimization Opportunities (Not Yet Implemented)
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### High Priority
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#### 1. Provider Class Consolidation
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**Directory**: `src/main/presenter/llmProviderPresenter/providers/`
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**Issue**:
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- 34 provider classes total
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- 24 extend `OpenAICompatibleProvider` with minimal overrides
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- Examples: `GroqProvider`, `DeepseekProvider`, `TogetherProvider` likely have identical implementations
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**Recommendation**:
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```typescript
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// Instead of 24 separate classes, use configuration:
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interface ProviderConfig {
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name: string
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apiEndpoint: string
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modelEndpoint?: string
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supportsVision: boolean
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supportsFunctionCalling: boolean
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maxTokens: number
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}
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const PROVIDERS: Record<string, ProviderConfig> = {
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groq: { name: 'Groq', apiEndpoint: 'https://api.groq.com/openai/v1', ... },
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deepseek: { name: 'DeepSeek', apiEndpoint: 'https://api.deepseek.com', ... },
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// ... etc
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}
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```
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**Impact**:
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- Reduces bundle size by ~15-20KB
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- Easier maintenance and testing
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- Simpler provider addition
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#### 2. IPC Request Batching/Deduplication
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**File**: `src/renderer/src/composables/useIpcQuery.ts`
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**Issue**:
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- Multiple stores (`modelStore`, `providerStore`, `mcpStore`) trigger separate IPC calls
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- No request deduplication for concurrent identical queries
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- Using `@pinia/colada` but minimal caching configuration visible
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**Recommendation**:
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```typescript
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// Implement request deduplication
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const pendingRequests = new Map<string, Promise<any>>()
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async function deduplicatedIpcCall(method: string, ...args: any[]) {
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const key = `${method}:${JSON.stringify(args)}`
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if (!pendingRequests.has(key)) {
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const promise = actualIpcCall(method, ...args)
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.finally(() => pendingRequests.delete(key))
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pendingRequests.set(key, promise)
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}
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return pendingRequests.get(key)
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}
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```
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**Impact**: Could reduce IPC call count by 30-50% during initialization
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#### 3. Token Count Caching
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**Files**:
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- `src/main/presenter/agentPresenter/message/messageCompressor.ts`
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- `src/main/presenter/agentPresenter/message/messageTruncator.ts`
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**Issue**:
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- `calculateMessageTokens()` called multiple times for same message
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- During compression/truncation cycles, same messages recalculated
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**Recommendation**:
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```typescript
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// Add token count cache to Message type
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interface Message {
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// ... existing fields
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_cachedTokenCount?: number
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}
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function calculateMessageTokens(message: ChatMessage): number {
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if (message._cachedTokenCount !== undefined) {
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return message._cachedTokenCount
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}
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const tokens = /* calculation */
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message._cachedTokenCount = tokens
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return tokens
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}
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```
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**Impact**: Medium - Reduces redundant token calculations in long conversations
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### Medium Priority
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#### 4. Database Indices
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**Location**: SQLite database schema
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**Issue**:
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- No visible indices on frequently queried fields
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- Large table scans for conversation/thread queries
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**Recommendation**:
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```sql
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CREATE INDEX idx_messages_conversation ON messages(conversationId, createdAt);
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CREATE INDEX idx_messages_thread ON messages(threadId, createdAt);
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CREATE INDEX idx_messages_parent ON messages(parentId);
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```
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**Impact**: High for old conversations with thousands of messages
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#### 5. Tab State Memory Management
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**File**: `src/renderer/src/stores/chat.ts`
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**Issue**:
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- Multiple nested Maps managing per-tab state:
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- `activeThreadIdMap: Map<tabId, threadId>`
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- `messageIdsMap: Map<tabId, messageId[]>`
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- `generatingMessagesCacheMap: Map<tabId, Map<>>`
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- Manual tab cleanup not guaranteed; orphaned entries may accumulate
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**Recommendation**:
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```typescript
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class TabStateManager {
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private tabStates = new Map<TabId, TabState>()
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constructor() {
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// Listen to tab close events
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window.api.onTabClosed((tabId) => {
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this.cleanup(tabId)
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})
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}
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cleanup(tabId: TabId) {
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const state = this.tabStates.get(tabId)
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if (state) {
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state.generatingMessagesCache.clear()
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this.tabStates.delete(tabId)
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}
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}
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}
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```
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**Impact**: Prevents memory leaks in long-running sessions with many tab switches
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### Low Priority
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#### 6. Store Computed Property Dependencies
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**Files**: Various store files
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**Issue**:
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- 15+ computed() calls across stores (`chat.ts`: 9, `mcp.ts`: 13)
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- No visibility into dependency chains
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- Potential for cascading updates
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**Recommendation**:
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- Profile store updates with Vue DevTools Profiler
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- Consider memoization for expensive computed properties
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- Document dependency chains
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**Impact**: Low-Medium - Depends on computed complexity
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#### 7. Message List Rendering
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**File**: `src/renderer/src/components/message/MessageList.vue`
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**Good**: Already uses `DynamicScroller` (vue-virtual-scroller) ✅
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**Optimization Opportunity**:
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- Three `size-dependencies` tracked may cause unnecessary re-measures
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- Profile if `getMessageSizeKey()` and `getRenderingStateKey()` are expensive
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**Impact**: Low - Likely already optimized
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---
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## 🎯 Quick Wins Summary
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The following optimizations were implemented as high-impact, low-effort improvements:
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1. ✅ **Message cache reverse index** (5 min) - O(n) → O(1)
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2. ✅ **Extract duplicate cloning utility** (10 min) - Shared code
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3. ✅ **Filter before clone** (5 min) - Avoid wasted work
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4. ✅ **Replace JSON clone with structuredClone** (5 min) - Better performance
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**Remaining Quick Wins** (not yet implemented):
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5. 🔲 Add database indices (15 min)
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6. 🔲 Implement IPC request deduplication (30 min)
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7. 🔲 Add token count caching (20 min)
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---
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## 📊 Performance Metrics (Estimated)
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| Optimization | Impact | Effort | Status |
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|-------------|--------|--------|--------|
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| Message cache O(1) lookup | High | Low | ✅ Done |
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| structuredClone vs JSON | Medium | Low | ✅ Done |
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| Filter before clone | Medium | Low | ✅ Done |
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| Shared cloning utility | Low | Low | ✅ Done |
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| IPC request batching | Medium | Medium | 🔲 TODO |
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| Provider consolidation | Medium | High | 🔲 TODO |
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| Token count caching | Medium | Low | 🔲 TODO |
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| Database indices | High | Low | 🔲 TODO |
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| Tab state cleanup | Medium | Medium | 🔲 TODO |
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---
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## 🔧 Tools & Methodology
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**Analysis Tools Used**:
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- Custom code exploration agent
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- grep/glob for pattern matching
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- Manual code review
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**Performance Profiling Recommendations**:
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1. Use Chrome DevTools Performance tab for renderer profiling
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2. Use Vue DevTools Profiler for component render analysis
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3. Add console.time() measurements for message processing
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4. Monitor IPC call frequency during app initialization
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---
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## 📝 Notes
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### Timer Cleanup Audit ✅
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Verified that timer cleanup is properly implemented in critical files:
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- `deepResearchServer.ts`: Has `destroy()` method with clearInterval
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- `githubCopilotDeviceFlow.ts`: Clears intervals on all error paths
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- Other presenters follow similar patterns
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### Virtual Scrolling ✅
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MessageList.vue already uses vue-virtual-scroller correctly for large message lists.
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### Code Quality
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- No major console.log pollution found
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- Event listener cleanup patterns appear consistent
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- Most async operations have proper error handling
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---
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## 🎓 Recommendations for Future Work
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1. **Continuous Profiling**: Set up automated performance benchmarks
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2. **Bundle Analysis**: Run webpack-bundle-analyzer to identify large dependencies
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3. **Memory Leak Detection**: Add memory leak tests for long-running sessions
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4. **Database Query Optimization**: Add slow query logging
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5. **Provider Architecture Review**: Consider plugin-based provider system
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---
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## 📚 References
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- [structuredClone MDN](https://developer.mozilla.org/en-US/docs/Web/API/structuredClone)
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- [Vue Virtual Scroller](https://github.com/Akryum/vue-virtual-scroller)
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- [Pinia Best Practices](https://pinia.vuejs.org/core-concepts/)
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- [Electron Performance](https://www.electronjs.org/docs/latest/tutorial/performance)
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