AI Failover Router

Workbench v1.4
System Availability 97.8%
Inbound Traffic 250 QPS
Fallback Diverted 244.5 QPS
p99 Latency 485 ms
DLQ Drop Rate 2.2%
Scenario Presets:
Live Cascade Topology & Circuit Breakers
Inbound Gate → Breaker Relays → Local SLM / Cache
ChatGPT (OpenAI)
Primary Route / gpt-4o
OPEN
State Reason5x 503 Timeouts
Latency4,200ms
Traffic Cut100%
Claude (Anthropic)
Secondary Cascade / claude-3-5
OPEN
State Reason529 Overloaded
Latency5,100ms
Traffic Cut100%
Grok (xAI)
Tertiary Cascade / grok-2
OPEN
State Reason500 Server Error
Latency3,900ms
Traffic Cut100%
Local Edge SLM & Cache
High-Resiliency Disaster Lane
SERVING
Served QPS244.5 QPS
p95 Latency110ms
Hit Rate98.2%
Real-Time Failover Router Logs
Jitter: 25% 

      

        
        
      

    

  





AI Outage Cascade & Failover Router Workbench Explainer
Read the explanation
In multi-provider AI architectures, simultaneous outages trip automated circuit breakers across primary and secondary models. When consecutive errors exceed the failure threshold, the router isolates broken channels and diverts query traffic along the green fallback path. Adjusting the retry slider scales backoff duration with jitter, suppressing retry storms and protecting total availability. Engineers then export validated LiteLLM YAML and Cloudflare gateway configs to deploy tested failover rules to production.






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