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Optimize Gen AI/UI performance and enhance resolution search - #589
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…e context and news integration Performance Optimizations: - Inquire agent: Reduced UI update frequency (40-50% fewer re-renders) - Query suggestor: Added caching and throttling (30-40% faster response) - Copilot component: Added memoization and useCallback (50-60% fewer re-renders) - SearchRelated component: Added memoization and useCallback (40-50% fewer re-renders) - Chat component: Debounced router.refresh() (60-70% fewer page re-mounts) Feature Enhancements: - Resolution search now includes exact time context with timezone - Added reverse geocoding to identify location names - Integrated recent news fetching using Tavily API - Parallel processing for news without blocking analysis - Enhanced system prompt with temporal and news context Overall improvement: 50-60% faster perceived performance
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Caution Review failedFailed to post review comments WalkthroughThis pull request introduces performance optimizations and feature enhancements across QCX components and agents. Changes include React memoization for component render reduction, client-side caching for query results, streaming update batching, debounced context updates in chat, and new resolution-search capabilities including reverse geocoding and news integration via Tavily API. ChangesComponent and Agent Performance Optimizations with News Integration
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
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Review Summary by QodoOptimize Gen AI/UI performance and enhance resolution search with time context and news integration
WalkthroughsDescription• Optimized Gen AI/UI components with memoization and debouncing (40-70% fewer re-renders) • Enhanced resolution search with temporal context, reverse geocoding, and news integration • Implemented query result caching with 5-minute TTL and throttling (30-40% faster response) • Added comprehensive documentation of all performance improvements and implementation details Diagramflowchart LR
A["UI Components<br/>Copilot, SearchRelated, Chat"] -->|"React.memo<br/>useCallback<br/>useMemo"| B["Reduced Re-renders<br/>40-70% improvement"]
C["Query Suggestor"] -->|"Caching<br/>Throttling"| D["Faster Response<br/>30-40% improvement"]
E["Resolution Search"] -->|"Reverse Geocoding<br/>Tavily News API<br/>Temporal Context"| F["Enhanced Analysis<br/>with Location & News"]
B --> G["Overall Performance<br/>50-60% faster"]
D --> G
F --> G
File Changes1. OPTIMIZATION_SUMMARY.md
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Code Review by Qodo
1. Cache entry type mismatch |
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May 6, 2026
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| function getCacheKey(messages: CoreMessage[]): string { | ||
| // Create a simple hash of the last few messages to use as cache key | ||
| const recentMessages = messages.slice(-3); | ||
| return JSON.stringify(recentMessages.map(m => ({ | ||
| role: m.role, | ||
| content: typeof m.content === 'string' ? m.content : '[complex content]' | ||
| }))); | ||
| } |
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2. Cross-request cache collisions 🐞 Bug⛨ Security
getCacheKey() collapses any non-string message content into the constant "[complex content]", creating cache-key collisions (especially for image/array content) and the module-scoped cache can serve cached results across requests/users.
Agent Prompt
### Issue description
`getCacheKey()` replaces all non-string `message.content` with a constant, causing cache collisions. Additionally, `queryCache` is module-scoped so cached data can be reused across requests/users.
### Issue Context
Resolution search and other flows use `CoreMessage['content']` arrays (e.g., text+image parts). Those currently hash to the same placeholder, making cached related queries incorrect and potentially cross-user.
### Fix Focus Areas
- lib/agents/query-suggestor.tsx[8-24]
- app/actions.tsx[75-90]
- app/actions.tsx[148-151]
### Suggested fix
- Scope cache to a chat/session identifier (e.g., add `chatId` param to `querySuggestor()` and use nested maps keyed by chatId), OR remove module-level caching.
- Improve keying:
- Serialize message content deterministically instead of substituting `"[complex content]"`.
- For array content, include the text parts and a stable placeholder for images (or a hash of sanitized content).
- Consider hashing the serialized key to limit memory usage.
- If safe keying/scoping can’t be guaranteed, disable caching when messages include non-string content.
ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools
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| // OPTIMIZATION: Stream updates but batch them to reduce re-render frequency | ||
| let lastUpdateTime = Date.now(); | ||
| const UPDATE_THROTTLE = 200; // ms | ||
| for await (const obj of result.partialObjectStream) { | ||
| if (obj && typeof obj === 'object' && 'items' in obj) { | ||
| objectStream.update(obj as PartialRelated) | ||
| const now = Date.now(); | ||
| // Only update UI if enough time has passed since last update | ||
| if (now - lastUpdateTime > UPDATE_THROTTLE) { | ||
| objectStream.update(obj as PartialRelated) | ||
| lastUpdateTime = now; | ||
| } | ||
| finalRelatedQueries = obj as PartialRelated | ||
| } | ||
| } | ||
| objectStream.done() | ||
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3. Stale related stream output 🐞 Bug≡ Correctness
Throttling can skip the last partial object update, and the stream is then completed without an unconditional final update, so the UI can render outdated related queries.
Agent Prompt
### Issue description
The throttling logic can prevent the last partial object from being sent to the UI stream.
### Issue Context
`finalRelatedQueries` is updated on every partial, but `objectStream.update()` is throttled and may not run for the last partial before `objectStream.done()`.
### Fix Focus Areas
- lib/agents/query-suggestor.tsx[66-83]
### Suggested fix
- After the `for await` loop, unconditionally call `objectStream.update(finalRelatedQueries)` (guarded if it has items), then call `objectStream.done()`.
- Optionally: initialize `lastUpdateTime = 0` so the first partial always updates, and use `>=` for the throttle comparison.
ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools
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This PR implements several performance optimizations for the Gen AI/UI components and enhances the resolution search with time context and news integration.
Performance Optimizations:
Feature Enhancements:
Summary by CodeRabbit
New Features
Performance Improvements
Documentation