N.L.D.S. Performance Requirements Specification
Overview
This document defines the comprehensive performance benchmarks, requirements, and specifications for the Natural Language Detection System (N.L.D.S.) as the Tier 0 component of JAEGIS Enhanced Agent System v2.2.
Core Performance Targets
Response Time Requirements
Primary Processing
<500ms
750ms
End-to-end API response time
Simple Queries
<200ms
300ms
Single-dimension analysis
Complex Queries
<800ms
1200ms
Multi-dimensional analysis
Batch Processing
<100ms per item
150ms per item
Parallel processing
Real-time Streaming
<50ms latency
100ms latency
WebSocket connections
Confidence Threshold Requirements
High Confidence
≥85%
Direct execution
Statistical validation
Medium Confidence
70-84%
User confirmation
Alternative generation
Low Confidence
50-69%
Clarification request
Enhanced processing
Insufficient Confidence
<50%
Rejection with guidance
Error handling
Throughput and Capacity Requirements
Requests per Minute
1,000 req/min
2,000 req/min
Auto-scaling
Concurrent Users
500 users
1,000 users
Load balancing
Daily Processing Volume
1.44M requests
2.88M requests
Horizontal scaling
Batch Processing
10,000 items/hour
20,000 items/hour
Parallel processing
Detailed Performance Specifications
1. Processing Performance
1.1 Natural Language Processing
Tokenization: <10ms for 1000 words
Semantic Analysis: <200ms for complex sentences
Intent Recognition: <100ms with 95% accuracy
Context Extraction: <50ms for session data
Named Entity Recognition: <75ms for entity-rich text
1.2 Multi-Dimensional Analysis
Logical Analysis: <150ms per dimension
Emotional Analysis: <100ms per dimension
Creative Analysis: <200ms per dimension
Dimensional Synthesis: <100ms for combination
Confidence Scoring: <25ms for all dimensions
1.3 Translation Engine
Command Generation: <100ms for JAEGIS commands
Mode Selection: <50ms based on complexity
Squad Selection: <75ms with load balancing
Alternative Generation: <200ms for low confidence
Validation: <50ms for syntax and semantics
2. System Performance
2.1 Resource Utilization
CPU Utilization: <70% average, <90% peak
Memory Usage: <8GB average, <16GB peak
Storage I/O: <1000 IOPS average, <5000 IOPS peak
Network Bandwidth: <100Mbps average, <500Mbps peak
2.2 Database Performance
Query Response Time: <50ms for simple queries
Complex Query Time: <200ms for analytics
Connection Pool: 100 connections minimum
Transaction Throughput: 1000 TPS minimum
2.3 Cache Performance
Cache Hit Ratio: >90% for frequent queries
Cache Response Time: <5ms for cached data
Cache Invalidation: <100ms for updates
Memory Efficiency: <2GB cache size
3. Integration Performance
3.1 JAEGIS Integration
Command Transmission: <100ms to orchestrator
Status Monitoring: <50ms for health checks
Squad Coordination: <200ms for multi-squad tasks
Error Handling: <25ms for fallback activation
3.2 External System Integration
OpenRouter.ai: <300ms for API calls
GitHub Integration: <500ms for resource fetching
Database Operations: <100ms for CRUD operations
Authentication: <50ms for JWT validation
4. Scalability Requirements
4.1 Horizontal Scaling
Auto-scaling Trigger: 80% resource utilization
Scale-up Time: <2 minutes for new instances
Scale-down Time: <5 minutes for instance removal
Load Distribution: Even distribution across instances
4.2 Vertical Scaling
CPU Scaling: Up to 16 cores per instance
Memory Scaling: Up to 32GB per instance
Storage Scaling: Up to 1TB per instance
Network Scaling: Up to 10Gbps per instance
5. Availability and Reliability
5.1 Uptime Requirements
System Availability: 99.9% (8.76 hours downtime/year)
Planned Maintenance: <4 hours/month
Unplanned Downtime: <2 hours/month
Recovery Time: <15 minutes for system restart
5.2 Error Handling
Error Rate: <1% of total requests
Timeout Handling: Graceful degradation
Retry Logic: Exponential backoff with 3 retries
Fallback Systems: <100ms activation time
6. Security Performance
6.1 Authentication Performance
JWT Validation: <25ms per request
Rate Limiting: <10ms overhead per request
Encryption/Decryption: <50ms for sensitive data
Audit Logging: <15ms per log entry
6.2 Security Scanning
Input Validation: <20ms per request
Threat Detection: <100ms for pattern matching
Vulnerability Scanning: Daily automated scans
Compliance Checking: <50ms per validation
Performance Testing Strategy
1. Load Testing
Baseline Testing: Normal load conditions
Stress Testing: 150% of target capacity
Spike Testing: Sudden load increases
Volume Testing: Large data sets
Endurance Testing: Extended periods
2. Performance Monitoring
Real-time Metrics: 1-second granularity
Historical Data: 90-day retention
Alerting Thresholds: 80% of target limits
Dashboard Updates: Real-time visualization
3. Benchmarking
Baseline Establishment: Initial performance capture
Regular Benchmarking: Weekly performance tests
Regression Testing: After each deployment
Comparative Analysis: Against industry standards
Performance Optimization Guidelines
1. Code Optimization
Algorithm Efficiency: O(log n) or better for critical paths
Memory Management: Efficient garbage collection
Caching Strategy: Multi-level caching implementation
Parallel Processing: Utilize all available cores
2. Database Optimization
Query Optimization: Index usage and query plans
Connection Pooling: Efficient connection management
Data Partitioning: Horizontal and vertical partitioning
Caching Layer: Redis for frequently accessed data
3. Network Optimization
Compression: Gzip compression for responses
CDN Usage: Static content delivery
Connection Pooling: HTTP/2 and keep-alive
Load Balancing: Intelligent request distribution
Compliance and Validation
1. Performance Validation
Automated Testing: Continuous performance validation
Manual Testing: Quarterly comprehensive reviews
User Acceptance: Performance criteria in UAT
Production Monitoring: Real-time performance tracking
2. Reporting and Documentation
Performance Reports: Monthly performance summaries
Trend Analysis: Performance trend identification
Capacity Planning: Future capacity requirements
Optimization Recommendations: Continuous improvement
Performance Metrics Dashboard
Key Performance Indicators (KPIs)
Response Time Percentiles: P50, P95, P99
Throughput Metrics: Requests per second/minute
Error Rates: 4xx and 5xx error percentages
Resource Utilization: CPU, memory, storage, network
Availability Metrics: Uptime percentage and MTTR
User Experience: Session duration and satisfaction scores
Alerting Thresholds
Critical: >90% of maximum acceptable values
Warning: >80% of target values
Information: Trend analysis and capacity planning
Conclusion
These performance requirements ensure that N.L.D.S. operates as a high-performance, reliable, and scalable Tier 0 component of the JAEGIS Enhanced Agent System. Regular monitoring, testing, and optimization against these benchmarks will maintain optimal system performance and user experience.
Target Achievement Timeline: All performance requirements must be met before production deployment, with continuous monitoring and optimization post-deployment.
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