LLM Council Monitoring: Dashboards and Alerts
Setting up comprehensive monitoring for multi-model AI systems.
LLM monitoringAI observabilitycouncil metricsmulti-model AI
Observability Framework
Monitor your LLM council effectively with the right metrics and alerts.
Key Metrics
Performance Metrics
- Query latency (P50, P95, P99)
- Throughput (queries per second)
- Error rate
- Availability
Quality Metrics
- Consensus rate
- Hallucination flags
- User satisfaction scores
Cost Metrics
- Tokens consumed
- Cost per query
- Cost by model
Dashboard Design
Create dashboards showing:
- Real-time query volume
- Model usage distribution
- Cost trends
- Error patterns
Alerting
Set alerts for:
- Error rate > 5%
- P99 latency > threshold
- Cost spike detection
- Low consensus rate