Reliability
Keep AI apps running when a provider fails
Define primary and backup model routes in Concentrate, retry on rate limits and errors, and see failures in request logs before users feel them.
Each workload gets a primary route, an approved backup, and alerts when errors climb.
Primary
Provider path
Backup
Fallback route
Signals
Errors + latency
Primary
Anthropic direct
Default route for the production support workflow.
Fallback
Claude on Azure
Backup provider path for the same workload.
Alert
Error spike
Notify the owner when failures rise above the threshold.
New capabilities
What your team gains with Concentrate
Pick the primary route per workload
Choose the model and provider path each workload should try first in request routing, or send a model slug and let Concentrate pick among healthy providers.
Configure backups before the outage
Set model or provider fallbacks so traffic moves to an approved backup when the primary path errors, times out, or hits a rate limit.
See failures while they are small
Watch error rate on the dashboard and get error alerts when failures climb, then open request logs for the model, provider, and key behind the spike.
Who Concentrate is designed for
Teams shipping customer-facing AI features
When a provider slows down, rate-limits you, or returns errors, a single-path integration becomes a customer-facing outage. Reliability means choosing backups ahead of time, letting the gateway reroute, and having logs that show what happened.
Customer-facing apps
Prepare backup routes for chat, support, and agents so a provider error becomes a reroute instead of a blank screen.
Platform and infra teams
Keep failover policy in Concentrate instead of try/catch-per-provider logic copied into every service.
On-call and SRE
Use request logs, status, duration, and error alerts to see which route failed and whether a fallback ran.
Before you trust a backup
Test output shape, latency, and cost for both routes. A fallback only helps if the app can handle the backup response.
Reliability basics