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Copilot AI commented Jan 20, 2026

Performance analysis identified bottlenecks in message cache lookups and object cloning during context window management.

Changes

Message Cache O(1) Lookup

Added reverse index threadToMessagesMap to eliminate O(n) iteration in clearCachedMessagesForThread():

// Before: O(n) iteration over all entries
for (const [messageId, conversationId] of messageThreadMap.entries()) {
  if (conversationId === threadId) { /* delete */ }
}

// After: O(1) lookup with reverse index
const messageIds = threadToMessagesMap.get(threadId)
for (const messageId of messageIds) { /* delete */ }

Impact: Significant improvement for repositories with large conversation histories.

Efficient Object Cloning

  • Replaced JSON.parse(JSON.stringify()) with structuredClone() for 2-3x faster deep cloning
  • Extracted duplicate cloneMessageWithContent() logic from messageCompressor and messageTruncator into shared utility
  • Reduced CPU overhead during message context processing

Filter-Before-Clone Optimization

Reordered operations in messageTruncator to avoid cloning objects that will be filtered:

// Before: Clone all, then filter
.map(cloneMessageWithContent)
.filter(msg => msg.status === 'sent')

// After: Filter first, clone only needed
.filter(msg => msg.status === 'sent')
.map(cloneMessageWithContent)

Documentation

  • docs/OPTIMIZATION_ANALYSIS.md: Technical analysis with 7+ additional optimization opportunities identified (IPC batching, provider consolidation, token caching)
  • docs/OPTIMIZATION_SUMMARY.zh.md: Chinese summary

Files Changed

 5 files changed, 407 insertions(+), 51 deletions(-)
 
 src/renderer/src/lib/messageRuntimeCache.ts                    | +53
 src/main/presenter/agentPresenter/message/messageUtils.ts      | +26 (new)
 src/main/presenter/agentPresenter/message/messageCompressor.ts | -21
 src/main/presenter/agentPresenter/message/messageTruncator.ts  | -33

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帮我看看有什么优化点


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zerob13 and others added 7 commits January 16, 2026 10:35
* 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
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Copilot AI and others added 3 commits January 20, 2026 11:59
- 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>
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>
Add user-friendly Chinese summary of optimization work

Co-authored-by: zhangmo8 <43628500+zhangmo8@users.noreply.github.com>
Copilot AI changed the title [WIP] Review and optimize code for performance improvements perf: optimize message cache and cloning operations Jan 20, 2026
Copilot AI requested a review from zhangmo8 January 20, 2026 12:07
@zhangmo8 zhangmo8 changed the base branch from feat/voiceai to refactor/message-list January 21, 2026 01:57
@zhangmo8 zhangmo8 marked this pull request as ready for review January 21, 2026 01:57
@zhangmo8 zhangmo8 merged commit bfd4e7b into refactor/message-list Jan 21, 2026
1 check passed
@zhangmo8 zhangmo8 deleted the copilot/optimize-performance-points branch January 21, 2026 01:57
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4 participants