Service Fabric Integration
Judge Service Components
Evaluation Orchestrator Service:
Request routing to appropriate judge models based on content type
Load balancing across multiple judge model instances
Priority queuing for time-sensitive evaluations
Result aggregation from multiple judge models
Judge Model Registry:
Model capability metadata for optimal judge selection
Performance benchmarks for each judge model type
Availability monitoring and automatic failover
Version management for judge model updates
Quality Scoring Service:
Multi-dimensional scoring across different quality aspects
Confidence interval calculation for score reliability
Historical trend analysis for quality improvements
Threshold-based alerting for quality degradation
Application Integration Patterns
Real-Time Judging APIs:
Synchronous evaluation for immediate quality feedback
Asynchronous batch evaluation for large-scale content assessment
Streaming evaluation for continuous content monitoring
Webhook integration for event-driven quality assessment
Quality Gate Integration:
Pre-deployment quality checks before content publication
Runtime quality monitoring for live content streams
Post-processing evaluation for historical content improvement
A/B testing support for comparing different model outputs
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