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enhancementNew feature or requestNew feature or requestperformancePerformance optimizationPerformance optimizationpriority:mediumMedium priority - nice to haveMedium priority - nice to have
Description
Problem
No visibility into performance issues:
- Can't track query counts per request
- No alerting on performance degradation
- Difficult to diagnose bottlenecks
Root Cause
- No performance monitoring infrastructure
- No metrics collection
- No dashboards or alerts
Proposed Solution
- Create
monitoring/metrics.pywithPerformanceMonitorclass - Add decorators to track database queries, LLM calls, token usage
- Log performance summary per request
- Set up alerts for threshold violations
Expected Impact
- Visibility into performance metrics
- Proactive issue detection
- Data-driven optimization decisions
Files to Create
backend/monitoring/metrics.pybackend/monitoring/alerts.py
Files to Modify
- Database query execution points (add tracking decorator)
- LLM provider calls (add token tracking)
- Main request handlers (add summary logging)
Acceptance Criteria
- PerformanceMonitor class implemented
- Metrics tracked: db_query_count, llm_token_count, execution_time
- Alerts trigger on thresholds (> 20 queries, > 5s execution)
- Metrics logged per request
- Dashboard-ready format (JSON structured logs)
Priority
Medium - Phase 3 Advanced Optimization
Related Issues
Part of overall performance optimization initiative
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enhancementNew feature or requestNew feature or requestperformancePerformance optimizationPerformance optimizationpriority:mediumMedium priority - nice to haveMedium priority - nice to have